2022/06/20 02:44:34 - mmengine - INFO - Get class `LocalVisBackend` from "vis_backend" registry in "mmengine" 2022/06/20 02:44:34 - mmengine - INFO - An `LocalVisBackend` instance is built from registry, its implementation can be found in mmengine.visualization.vis_backend 2022/06/20 02:44:34 - mmengine - INFO - Get class `GCA` from "model" registry in "mmedit" 2022/06/20 02:44:34 - mmengine - INFO - Get class `MattorPreprocessor` from "model" registry in "mmedit" 2022/06/20 02:44:34 - mmengine - INFO - An `MattorPreprocessor` instance is built from registry, its implementation can be found in mmedit.models.mattors.data_processor 2022/06/20 02:44:34 - mmengine - INFO - Get class `SimpleEncoderDecoder` from "model" registry in "mmedit" 2022/06/20 02:44:34 - mmengine - INFO - Get class `ResShortcutEnc` from "model" registry in "mmedit" 2022/06/20 02:44:35 - mmengine - INFO - An `ResShortcutEnc` instance is built from registry, its implementation can be found in mmedit.models.mattors.encoder_decoder.resnet_enc 2022/06/20 02:44:35 - mmengine - INFO - Get class `ResShortcutDec` from "model" registry in "mmedit" 2022/06/20 02:44:35 - mmengine - INFO - An `ResShortcutDec` instance is built from registry, its implementation can be found in mmedit.models.mattors.encoder_decoder.resnet_dec 2022/06/20 02:44:35 - mmengine - INFO - An `SimpleEncoderDecoder` instance is built from registry, its implementation can be found in mmedit.models.mattors.encoder_decoder.simple_encoder_decoder 2022/06/20 02:44:35 - mmengine - INFO - Get class `L1Loss` from "model" registry in "mmedit" 2022/06/20 02:44:35 - mmengine - INFO - An `L1Loss` instance is built from registry, its implementation can be found in mmedit.models.losses.pixelwise_loss 2022/06/20 02:44:35 - mmengine - INFO - An `GCA` instance is built from registry, its implementation can be found in mmedit.models.mattors.gca 2022/06/20 02:44:35 - mmengine - INFO - Get class `PretrainedInit` from "weight initializer" registry in "mmengine" 2022/06/20 02:44:35 - mmengine - INFO - An `PretrainedInit` instance is built from registry, its implementation can be found in mmengine.model.utils Name of parameter - Initialization information backbone.encoder.conv1.conv.weight_orig - torch.Size([32, 6, 3, 3]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.conv1.bn.weight - torch.Size([32]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.conv1.bn.bias - torch.Size([32]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.conv2.conv.weight_orig - torch.Size([32, 32, 3, 3]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.conv2.bn.weight - torch.Size([32]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.conv2.bn.bias - torch.Size([32]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.conv3.conv.weight_orig - torch.Size([64, 32, 3, 3]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.conv3.bn.weight - torch.Size([64]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.conv3.bn.bias - torch.Size([64]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.layer1.0.conv1.conv.weight_orig - torch.Size([64, 64, 3, 3]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.layer1.0.conv1.bn.weight - torch.Size([64]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.layer1.0.conv1.bn.bias - torch.Size([64]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.layer1.0.conv2.conv.weight_orig - torch.Size([64, 64, 3, 3]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.layer1.0.conv2.bn.weight - torch.Size([64]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.layer1.0.conv2.bn.bias - torch.Size([64]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.layer1.1.conv1.conv.weight_orig - torch.Size([64, 64, 3, 3]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.layer1.1.conv1.bn.weight - torch.Size([64]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.layer1.1.conv1.bn.bias - torch.Size([64]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.layer1.1.conv2.conv.weight_orig - torch.Size([64, 64, 3, 3]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.layer1.1.conv2.bn.weight - torch.Size([64]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.layer1.1.conv2.bn.bias - torch.Size([64]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.layer1.2.conv1.conv.weight_orig - torch.Size([64, 64, 3, 3]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.layer1.2.conv1.bn.weight - torch.Size([64]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.layer1.2.conv1.bn.bias - torch.Size([64]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.layer1.2.conv2.conv.weight_orig - torch.Size([64, 64, 3, 3]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.layer1.2.conv2.bn.weight - torch.Size([64]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.layer1.2.conv2.bn.bias - torch.Size([64]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.layer2.0.conv1.conv.weight_orig - torch.Size([128, 64, 3, 3]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.layer2.0.conv1.bn.weight - torch.Size([128]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.layer2.0.conv1.bn.bias - torch.Size([128]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.layer2.0.conv2.conv.weight_orig - torch.Size([128, 128, 3, 3]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.layer2.0.conv2.bn.weight - torch.Size([128]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.layer2.0.conv2.bn.bias - torch.Size([128]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.layer2.0.interpolation.1.conv.weight_orig - torch.Size([128, 64, 1, 1]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.layer2.0.interpolation.1.bn.weight - torch.Size([128]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.layer2.0.interpolation.1.bn.bias - torch.Size([128]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.layer2.1.conv1.conv.weight_orig - torch.Size([128, 128, 3, 3]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.layer2.1.conv1.bn.weight - torch.Size([128]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.layer2.1.conv1.bn.bias - torch.Size([128]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.layer2.1.conv2.conv.weight_orig - torch.Size([128, 128, 3, 3]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.layer2.1.conv2.bn.weight - torch.Size([128]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.layer2.1.conv2.bn.bias - torch.Size([128]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.layer2.2.conv1.conv.weight_orig - torch.Size([128, 128, 3, 3]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.layer2.2.conv1.bn.weight - torch.Size([128]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.layer2.2.conv1.bn.bias - torch.Size([128]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.layer2.2.conv2.conv.weight_orig - torch.Size([128, 128, 3, 3]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.layer2.2.conv2.bn.weight - torch.Size([128]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.layer2.2.conv2.bn.bias - torch.Size([128]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.layer2.3.conv1.conv.weight_orig - torch.Size([128, 128, 3, 3]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.layer2.3.conv1.bn.weight - torch.Size([128]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.layer2.3.conv1.bn.bias - torch.Size([128]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.layer2.3.conv2.conv.weight_orig - torch.Size([128, 128, 3, 3]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.layer2.3.conv2.bn.weight - torch.Size([128]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.layer2.3.conv2.bn.bias - torch.Size([128]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.layer3.0.conv1.conv.weight_orig - torch.Size([256, 128, 3, 3]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.layer3.0.conv1.bn.weight - torch.Size([256]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.layer3.0.conv1.bn.bias - torch.Size([256]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.layer3.0.conv2.conv.weight_orig - torch.Size([256, 256, 3, 3]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.layer3.0.conv2.bn.weight - torch.Size([256]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.layer3.0.conv2.bn.bias - torch.Size([256]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.layer3.0.interpolation.1.conv.weight_orig - torch.Size([256, 128, 1, 1]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.layer3.0.interpolation.1.bn.weight - torch.Size([256]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.layer3.0.interpolation.1.bn.bias - torch.Size([256]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.layer3.1.conv1.conv.weight_orig - torch.Size([256, 256, 3, 3]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.layer3.1.conv1.bn.weight - torch.Size([256]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.layer3.1.conv1.bn.bias - torch.Size([256]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.layer3.1.conv2.conv.weight_orig - torch.Size([256, 256, 3, 3]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.layer3.1.conv2.bn.weight - torch.Size([256]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.layer3.1.conv2.bn.bias - torch.Size([256]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.layer3.2.conv1.conv.weight_orig - torch.Size([256, 256, 3, 3]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.layer3.2.conv1.bn.weight - torch.Size([256]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.layer3.2.conv1.bn.bias - torch.Size([256]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.layer3.2.conv2.conv.weight_orig - torch.Size([256, 256, 3, 3]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.layer3.2.conv2.bn.weight - torch.Size([256]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.layer3.2.conv2.bn.bias - torch.Size([256]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.layer3.3.conv1.conv.weight_orig - torch.Size([256, 256, 3, 3]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.layer3.3.conv1.bn.weight - torch.Size([256]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.layer3.3.conv1.bn.bias - torch.Size([256]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.layer3.3.conv2.conv.weight_orig - torch.Size([256, 256, 3, 3]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.layer3.3.conv2.bn.weight - torch.Size([256]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.layer3.3.conv2.bn.bias - torch.Size([256]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.layer4.0.conv1.conv.weight_orig - torch.Size([512, 256, 3, 3]): The value is the same before and after calling `init_weights` of GCA backbone.encoder.layer4.0.conv1.bn.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of GCA backbone.encoder.layer4.0.conv1.bn.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of GCA backbone.encoder.layer4.0.conv2.conv.weight_orig - torch.Size([512, 512, 3, 3]): The value is the same before and after calling `init_weights` of GCA backbone.encoder.layer4.0.conv2.bn.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of GCA backbone.encoder.layer4.0.conv2.bn.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of GCA backbone.encoder.layer4.0.interpolation.1.conv.weight_orig - torch.Size([512, 256, 1, 1]): The value is the same before and after calling `init_weights` of GCA backbone.encoder.layer4.0.interpolation.1.bn.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of GCA backbone.encoder.layer4.0.interpolation.1.bn.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of GCA backbone.encoder.layer4.1.conv1.conv.weight_orig - torch.Size([512, 512, 3, 3]): The value is the same before and after calling `init_weights` of GCA backbone.encoder.layer4.1.conv1.bn.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of GCA backbone.encoder.layer4.1.conv1.bn.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of GCA backbone.encoder.layer4.1.conv2.conv.weight_orig - torch.Size([512, 512, 3, 3]): The value is the same before and after calling `init_weights` of GCA backbone.encoder.layer4.1.conv2.bn.weight - torch.Size([512]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.layer4.1.conv2.bn.bias - torch.Size([512]): PretrainedInit: load from open-mmlab://mmedit/res34_en_nomixup backbone.encoder.shortcut.0.0.conv.weight_orig - torch.Size([32, 6, 3, 3]): The value is the same before and after calling `init_weights` of GCA backbone.encoder.shortcut.0.0.bn.weight - torch.Size([32]): The value is the same before and after calling `init_weights` of GCA backbone.encoder.shortcut.0.0.bn.bias - torch.Size([32]): The value is the same before and after calling `init_weights` of GCA backbone.encoder.shortcut.0.1.conv.weight_orig - torch.Size([32, 32, 3, 3]): The value is the same before and after calling `init_weights` of GCA backbone.encoder.shortcut.0.1.bn.weight - torch.Size([32]): The value is the same before and after calling `init_weights` of GCA backbone.encoder.shortcut.0.1.bn.bias - torch.Size([32]): The value is the same before and after calling `init_weights` of GCA backbone.encoder.shortcut.1.0.conv.weight_orig - torch.Size([32, 32, 3, 3]): The value is the same before and after calling `init_weights` of GCA backbone.encoder.shortcut.1.0.bn.weight - torch.Size([32]): The value is the same before and after calling `init_weights` of GCA backbone.encoder.shortcut.1.0.bn.bias - torch.Size([32]): The value is the same before and after calling `init_weights` of GCA backbone.encoder.shortcut.1.1.conv.weight_orig - torch.Size([32, 32, 3, 3]): The value is the same before and after calling `init_weights` of GCA backbone.encoder.shortcut.1.1.bn.weight - torch.Size([32]): The value is the same before and after calling `init_weights` of GCA backbone.encoder.shortcut.1.1.bn.bias - torch.Size([32]): The value is the same before and after calling `init_weights` of GCA backbone.encoder.shortcut.2.0.conv.weight_orig - torch.Size([64, 64, 3, 3]): The value is the same before and after calling `init_weights` of GCA backbone.encoder.shortcut.2.0.bn.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of GCA backbone.encoder.shortcut.2.0.bn.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of GCA backbone.encoder.shortcut.2.1.conv.weight_orig - torch.Size([64, 64, 3, 3]): The value is the same before and after calling `init_weights` of GCA backbone.encoder.shortcut.2.1.bn.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of GCA backbone.encoder.shortcut.2.1.bn.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of GCA backbone.encoder.shortcut.3.0.conv.weight_orig - torch.Size([128, 128, 3, 3]): The value is the same before and after calling `init_weights` of GCA backbone.encoder.shortcut.3.0.bn.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of GCA backbone.encoder.shortcut.3.0.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of GCA backbone.encoder.shortcut.3.1.conv.weight_orig - torch.Size([128, 128, 3, 3]): The value is the same before and after calling `init_weights` of GCA backbone.encoder.shortcut.3.1.bn.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of GCA backbone.encoder.shortcut.3.1.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of GCA backbone.encoder.shortcut.4.0.conv.weight_orig - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of GCA backbone.encoder.shortcut.4.0.bn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of GCA backbone.encoder.shortcut.4.0.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GCA backbone.encoder.shortcut.4.1.conv.weight_orig - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of GCA backbone.encoder.shortcut.4.1.bn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of GCA backbone.encoder.shortcut.4.1.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.layer1.0.conv1.conv.weight_orig - torch.Size([512, 512, 4, 4]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.layer1.0.conv1.bn.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.layer1.0.conv1.bn.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.layer1.0.conv2.conv.weight_orig - torch.Size([256, 512, 3, 3]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.layer1.0.conv2.bn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.layer1.0.conv2.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.layer1.0.interpolation.1.conv.weight_orig - torch.Size([256, 512, 1, 1]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.layer1.0.interpolation.1.bn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.layer1.0.interpolation.1.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.layer1.1.conv1.conv.weight_orig - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.layer1.1.conv1.bn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.layer1.1.conv1.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.layer1.1.conv2.conv.weight_orig - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.layer1.1.conv2.bn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.layer1.1.conv2.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.layer2.0.conv1.conv.weight_orig - torch.Size([256, 256, 4, 4]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.layer2.0.conv1.bn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.layer2.0.conv1.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.layer2.0.conv2.conv.weight_orig - torch.Size([128, 256, 3, 3]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.layer2.0.conv2.bn.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.layer2.0.conv2.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.layer2.0.interpolation.1.conv.weight_orig - torch.Size([128, 256, 1, 1]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.layer2.0.interpolation.1.bn.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.layer2.0.interpolation.1.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.layer2.1.conv1.conv.weight_orig - torch.Size([128, 128, 3, 3]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.layer2.1.conv1.bn.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.layer2.1.conv1.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.layer2.1.conv2.conv.weight_orig - torch.Size([128, 128, 3, 3]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.layer2.1.conv2.bn.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.layer2.1.conv2.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.layer2.2.conv1.conv.weight_orig - torch.Size([128, 128, 3, 3]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.layer2.2.conv1.bn.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.layer2.2.conv1.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.layer2.2.conv2.conv.weight_orig - torch.Size([128, 128, 3, 3]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.layer2.2.conv2.bn.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.layer2.2.conv2.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.layer3.0.conv1.conv.weight_orig - torch.Size([128, 128, 4, 4]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.layer3.0.conv1.bn.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.layer3.0.conv1.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.layer3.0.conv2.conv.weight_orig - torch.Size([64, 128, 3, 3]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.layer3.0.conv2.bn.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.layer3.0.conv2.bn.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.layer3.0.interpolation.1.conv.weight_orig - torch.Size([64, 128, 1, 1]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.layer3.0.interpolation.1.bn.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.layer3.0.interpolation.1.bn.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.layer3.1.conv1.conv.weight_orig - torch.Size([64, 64, 3, 3]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.layer3.1.conv1.bn.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.layer3.1.conv1.bn.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.layer3.1.conv2.conv.weight_orig - torch.Size([64, 64, 3, 3]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.layer3.1.conv2.bn.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.layer3.1.conv2.bn.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.layer3.2.conv1.conv.weight_orig - torch.Size([64, 64, 3, 3]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.layer3.2.conv1.bn.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.layer3.2.conv1.bn.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.layer3.2.conv2.conv.weight_orig - torch.Size([64, 64, 3, 3]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.layer3.2.conv2.bn.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.layer3.2.conv2.bn.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.layer4.0.conv1.conv.weight_orig - torch.Size([64, 64, 4, 4]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.layer4.0.conv1.bn.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.layer4.0.conv1.bn.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.layer4.0.conv2.conv.weight_orig - torch.Size([32, 64, 3, 3]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.layer4.0.conv2.bn.weight - torch.Size([32]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.layer4.0.conv2.bn.bias - torch.Size([32]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.layer4.0.interpolation.1.conv.weight_orig - torch.Size([32, 64, 1, 1]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.layer4.0.interpolation.1.bn.weight - torch.Size([32]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.layer4.0.interpolation.1.bn.bias - torch.Size([32]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.layer4.1.conv1.conv.weight_orig - torch.Size([32, 32, 3, 3]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.layer4.1.conv1.bn.weight - torch.Size([32]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.layer4.1.conv1.bn.bias - torch.Size([32]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.layer4.1.conv2.conv.weight_orig - torch.Size([32, 32, 3, 3]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.layer4.1.conv2.bn.weight - torch.Size([32]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.layer4.1.conv2.bn.bias - torch.Size([32]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.conv1.conv.weight_orig - torch.Size([32, 32, 4, 4]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.conv1.bn.weight - torch.Size([32]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.conv1.bn.bias - torch.Size([32]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.conv2.conv.weight - torch.Size([1, 32, 3, 3]): The value is the same before and after calling `init_weights` of GCA backbone.decoder.conv2.conv.bias - torch.Size([1]): The value is the same before and after calling `init_weights` of GCA 2022/06/20 02:44:36 - mmengine - INFO - Get class `RuntimeInfoHook` from "hook" registry in "mmengine" 2022/06/20 02:44:36 - mmengine - INFO - An `RuntimeInfoHook` instance is built from registry, its implementation can be found in mmengine.hooks.runtime_info_hook 2022/06/20 02:44:36 - mmengine - INFO - Get class `IterTimerHook` from "hook" registry in "mmengine" 2022/06/20 02:44:36 - mmengine - INFO - An `IterTimerHook` instance is built from registry, its implementation can be found in mmengine.hooks.iter_timer_hook 2022/06/20 02:44:36 - mmengine - INFO - Get class `LoggerHook` from "hook" registry in "mmengine" 2022/06/20 02:44:36 - mmengine - INFO - An `LoggerHook` instance is built from registry, its implementation can be found in mmengine.hooks.logger_hook 2022/06/20 02:44:36 - mmengine - INFO - Get class `ParamSchedulerHook` from "hook" registry in "mmengine" 2022/06/20 02:44:36 - mmengine - INFO - An `ParamSchedulerHook` instance is built from registry, its implementation can be found in mmengine.hooks.param_scheduler_hook 2022/06/20 02:44:36 - mmengine - INFO - Get class `CheckpointHook` from "hook" registry in "mmengine" 2022/06/20 02:44:36 - mmengine - INFO - An `CheckpointHook` instance is built from registry, its implementation can be found in mmengine.hooks.checkpoint_hook 2022/06/20 02:44:36 - mmengine - INFO - Get class `DistSamplerSeedHook` from "hook" registry in "mmengine" 2022/06/20 02:44:36 - mmengine - INFO - An `DistSamplerSeedHook` instance is built from registry, its implementation can be found in mmengine.hooks.sampler_seed_hook 2022/06/20 02:44:37 - mmengine - INFO - Working directory: /mnt/lustre/wangruohui/valid_exp/baseline_r34 2022/06/20 02:44:37 - mmengine - INFO - Log directiry: /mnt/lustre/wangruohui/valid_exp/baseline_r34/20220620_024430 2022/06/20 02:44:37 - mmengine - INFO - Get class `IterBasedTrainLoop` from "loop" registry in "mmengine" 2022/06/20 02:44:37 - mmengine - INFO - Get class `AdobeComp1kDataset` from "dataset" registry in "mmedit" 2022/06/20 02:44:37 - mmengine - INFO - Get class `LoadImageFromFile` from "transform" registry in "mmedit" 2022/06/20 02:44:37 - mmengine - INFO - An `LoadImageFromFile` instance is built from registry, its implementation can be found in mmedit.transforms.loading 2022/06/20 02:44:37 - mmengine - INFO - Get class `LoadImageFromFile` from "transform" registry in "mmedit" 2022/06/20 02:44:37 - mmengine - INFO - An `LoadImageFromFile` instance is built from registry, its implementation can be found in mmedit.transforms.loading 2022/06/20 02:44:37 - mmengine - INFO - Get class `RandomLoadResizeBg` from "transform" registry in "mmedit" 2022/06/20 02:44:39 - mmengine - INFO - An `RandomLoadResizeBg` instance is built from registry, its implementation can be found in mmedit.transforms.matting.fgbg 2022/06/20 02:44:39 - mmengine - INFO - Get class `CompositeFg` from "transform" registry in "mmedit" 2022/06/20 02:44:39 - mmengine - INFO - An `CompositeFg` instance is built from registry, its implementation can be found in mmedit.transforms.matting.fgbg 2022/06/20 02:44:39 - mmengine - INFO - Get class `RandomAffine` from "transform" registry in "mmedit" 2022/06/20 02:44:39 - mmengine - INFO - An `RandomAffine` instance is built from registry, its implementation can be found in mmedit.transforms.aug_pixel 2022/06/20 02:44:39 - mmengine - INFO - Get class `GenerateTrimap` from "transform" registry in "mmedit" 2022/06/20 02:44:39 - mmengine - INFO - An `GenerateTrimap` instance is built from registry, its implementation can be found in mmedit.transforms.matting.trimap 2022/06/20 02:44:39 - mmengine - INFO - Get class `CropAroundCenter` from "transform" registry in "mmedit" 2022/06/20 02:44:39 - mmengine - INFO - An `CropAroundCenter` instance is built from registry, its implementation can be found in mmedit.transforms.matting.crop 2022/06/20 02:44:39 - mmengine - INFO - Get class `RandomJitter` from "transform" registry in "mmedit" 2022/06/20 02:44:39 - mmengine - INFO - An `RandomJitter` instance is built from registry, its implementation can be found in mmedit.transforms.matting.fgbg 2022/06/20 02:44:39 - mmengine - INFO - Get class `MergeFgAndBg` from "transform" registry in "mmedit" 2022/06/20 02:44:39 - mmengine - INFO - An `MergeFgAndBg` instance is built from registry, its implementation can be found in mmedit.transforms.matting.fgbg 2022/06/20 02:44:39 - mmengine - INFO - Get class `FormatTrimap` from "transform" registry in "mmedit" 2022/06/20 02:44:39 - mmengine - INFO - An `FormatTrimap` instance is built from registry, its implementation can be found in mmedit.transforms.matting.trimap 2022/06/20 02:44:39 - mmengine - INFO - Get class `PackEditInputs` from "transform" registry in "mmedit" 2022/06/20 02:44:39 - mmengine - INFO - An `PackEditInputs` instance is built from registry, its implementation can be found in mmedit.transforms.formatting 2022/06/20 02:44:40 - mmengine - INFO - An `AdobeComp1kDataset` instance is built from registry, its implementation can be found in mmedit.datasets.comp1k_dataset 2022/06/20 02:44:40 - mmengine - INFO - Get class `InfiniteSampler` from "data sampler" registry in "mmengine" 2022/06/20 02:44:40 - mmengine - INFO - An `InfiniteSampler` instance is built from registry, its implementation can be found in mmengine.data.sampler 2022/06/20 02:44:41 - mmengine - INFO - An `IterBasedTrainLoop` instance is built from registry, its implementation can be found in mmengine.runner.loops 2022/06/20 02:44:41 - mmengine - INFO - Get class `DefaultOptimWrapperConstructor` from "optimizer wrapper constructor" registry in "mmengine" 2022/06/20 02:44:41 - mmengine - INFO - An `DefaultOptimWrapperConstructor` instance is built from registry, its implementation can be found in mmengine.optim.optimizer.default_constructor 2022/06/20 02:44:41 - mmengine - INFO - Get class `Adam` from "optimizer" registry in "mmengine" 2022/06/20 02:44:41 - mmengine - INFO - An `Adam` instance is built from registry, its implementation can be found in torch.optim.adam 2022/06/20 02:44:41 - mmengine - INFO - Get class `OptimWrapper` from "optim_wrapper" registry in "mmengine" 2022/06/20 02:44:41 - mmengine - INFO - An `OptimWrapper` instance is built from registry, its implementation can be found in mmengine.optim.optimizer.optimizer_wrapper 2022/06/20 02:44:41 - mmengine - INFO - Get class `LinearLR` from "parameter scheduler" registry in "mmengine" 2022/06/20 02:44:41 - mmengine - INFO - An `LinearLR` instance is built from registry, its implementation can be found in mmengine.optim.scheduler.lr_scheduler 2022/06/20 02:44:41 - mmengine - INFO - Get class `CosineAnnealingLR` from "parameter scheduler" registry in "mmengine" 2022/06/20 02:44:41 - mmengine - INFO - An `CosineAnnealingLR` instance is built from registry, its implementation can be found in mmengine.optim.scheduler.lr_scheduler 2022/06/20 02:44:41 - mmengine - INFO - Get class `ValLoop` from "loop" registry in "mmengine" 2022/06/20 02:44:41 - mmengine - INFO - Get class `AdobeComp1kDataset` from "dataset" registry in "mmedit" 2022/06/20 02:44:41 - mmengine - INFO - Get class `LoadImageFromFile` from "transform" registry in "mmedit" 2022/06/20 02:44:41 - mmengine - INFO - An `LoadImageFromFile` instance is built from registry, its implementation can be found in mmedit.transforms.loading 2022/06/20 02:44:41 - mmengine - INFO - Get class `LoadImageFromFile` from "transform" registry in "mmedit" 2022/06/20 02:44:41 - mmengine - INFO - An `LoadImageFromFile` instance is built from registry, its implementation can be found in mmedit.transforms.loading 2022/06/20 02:44:41 - mmengine - INFO - Get class `LoadImageFromFile` from "transform" registry in "mmedit" 2022/06/20 02:44:41 - mmengine - INFO - An `LoadImageFromFile` instance is built from registry, its implementation can be found in mmedit.transforms.loading 2022/06/20 02:44:41 - mmengine - INFO - Get class `FormatTrimap` from "transform" registry in "mmedit" 2022/06/20 02:44:41 - mmengine - INFO - An `FormatTrimap` instance is built from registry, its implementation can be found in mmedit.transforms.matting.trimap 2022/06/20 02:44:41 - mmengine - INFO - Get class `PackEditInputs` from "transform" registry in "mmedit" 2022/06/20 02:44:41 - mmengine - INFO - An `PackEditInputs` instance is built from registry, its implementation can be found in mmedit.transforms.formatting 2022/06/20 02:44:41 - mmengine - INFO - An `AdobeComp1kDataset` instance is built from registry, its implementation can be found in mmedit.datasets.comp1k_dataset 2022/06/20 02:44:41 - mmengine - INFO - Get class `DefaultSampler` from "data sampler" registry in "mmengine" 2022/06/20 02:44:41 - mmengine - INFO - An `DefaultSampler` instance is built from registry, its implementation can be found in mmengine.data.sampler 2022/06/20 02:44:41 - mmengine - INFO - Get class `SAD` from "metric" registry in "mmedit" 2022/06/20 02:44:41 - mmengine - INFO - An `SAD` instance is built from registry, its implementation can be found in mmedit.metrics.matting 2022/06/20 02:44:41 - mmengine - INFO - Get class `MattingMSE` from "metric" registry in "mmedit" 2022/06/20 02:44:41 - mmengine - INFO - An `MattingMSE` instance is built from registry, its implementation can be found in mmedit.metrics.matting 2022/06/20 02:44:41 - mmengine - INFO - Get class `GradientError` from "metric" registry in "mmedit" 2022/06/20 02:44:41 - mmengine - INFO - An `GradientError` instance is built from registry, its implementation can be found in mmedit.metrics.matting 2022/06/20 02:44:41 - mmengine - INFO - Get class `ConnectivityError` from "metric" registry in "mmedit" 2022/06/20 02:44:41 - mmengine - INFO - An `ConnectivityError` instance is built from registry, its implementation can be found in mmedit.metrics.matting 2022/06/20 02:44:41 - mmengine - INFO - An `ValLoop` instance is built from registry, its implementation can be found in mmengine.runner.loops 2022/06/20 02:44:41 - mmengine - INFO - Checkpoints will be saved to /mnt/lustre/wangruohui/valid_exp/baseline_r34 by HardDiskBackend. 2022/06/20 02:45:54 - mmengine - INFO - Iter(train) [100/200000] lr: 8.314e-06 eta: 1 day, 16:30:41 time: 0.445 data_time: 0.029 memory: 7435 loss: 0.4750 2022/06/20 02:47:06 - mmengine - INFO - Iter(train) [200/200000] lr: 1.631e-05 eta: 1 day, 16:20:19 time: 0.613 data_time: 0.055 memory: 7430 loss: 0.2882 2022/06/20 02:48:01 - mmengine - INFO - Iter(train) [300/200000] lr: 2.430e-05 eta: 1 day, 13:00:16 time: 0.463 data_time: 0.043 memory: 7431 loss: 0.2202 2022/06/20 02:49:16 - mmengine - INFO - Iter(train) [400/200000] lr: 3.229e-05 eta: 1 day, 14:06:45 time: 0.471 data_time: 0.045 memory: 7430 loss: 0.2151 2022/06/20 02:50:19 - mmengine - INFO - Iter(train) [500/200000] lr: 4.029e-05 eta: 1 day, 13:32:33 time: 0.458 data_time: 0.036 memory: 7432 loss: 0.1828 2022/06/20 02:51:24 - mmengine - INFO - Iter(train) [600/200000] lr: 4.828e-05 eta: 1 day, 13:11:08 time: 0.483 data_time: 0.054 memory: 7431 loss: 0.1912 2022/06/20 02:52:30 - mmengine - INFO - Iter(train) [700/200000] lr: 5.627e-05 eta: 1 day, 13:06:01 time: 1.348 data_time: 0.031 memory: 7431 loss: 0.1997 2022/06/20 02:53:27 - mmengine - INFO - Iter(train) [800/200000] lr: 6.427e-05 eta: 1 day, 12:24:12 time: 0.456 data_time: 0.046 memory: 7434 loss: 0.1699 2022/06/20 02:54:30 - mmengine - INFO - Iter(train) [900/200000] lr: 7.226e-05 eta: 1 day, 12:12:18 time: 0.445 data_time: 0.044 memory: 7433 loss: 0.1604 2022/06/20 02:55:30 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 02:55:30 - mmengine - INFO - Iter(train) [1000/200000] lr: 8.025e-05 eta: 1 day, 11:54:53 time: 0.470 data_time: 0.044 memory: 7432 loss: 0.1719 2022/06/20 02:56:26 - mmengine - INFO - Iter(train) [1100/200000] lr: 8.824e-05 eta: 1 day, 11:23:47 time: 0.455 data_time: 0.044 memory: 7434 loss: 0.1549 2022/06/20 02:57:39 - mmengine - INFO - Iter(train) [1200/200000] lr: 9.623e-05 eta: 1 day, 11:49:14 time: 0.478 data_time: 0.040 memory: 7431 loss: 0.1582 2022/06/20 02:58:41 - mmengine - INFO - Iter(train) [1300/200000] lr: 1.042e-04 eta: 1 day, 11:40:22 time: 0.493 data_time: 0.052 memory: 7433 loss: 0.1452 2022/06/20 02:59:47 - mmengine - INFO - Iter(train) [1400/200000] lr: 1.122e-04 eta: 1 day, 11:41:40 time: 1.332 data_time: 0.922 memory: 7431 loss: 0.1473 2022/06/20 03:00:45 - mmengine - INFO - Iter(train) [1500/200000] lr: 1.202e-04 eta: 1 day, 11:25:57 time: 0.491 data_time: 0.060 memory: 7431 loss: 0.1140 2022/06/20 03:01:53 - mmengine - INFO - Iter(train) [1600/200000] lr: 1.282e-04 eta: 1 day, 11:34:13 time: 0.453 data_time: 0.026 memory: 7431 loss: 0.1485 2022/06/20 03:02:58 - mmengine - INFO - Iter(train) [1700/200000] lr: 1.362e-04 eta: 1 day, 11:33:59 time: 1.571 data_time: 0.034 memory: 7431 loss: 0.1420 2022/06/20 03:04:10 - mmengine - INFO - Iter(train) [1800/200000] lr: 1.442e-04 eta: 1 day, 11:45:44 time: 1.736 data_time: 0.036 memory: 7434 loss: 0.1240 2022/06/20 03:05:06 - mmengine - INFO - Iter(train) [1900/200000] lr: 1.522e-04 eta: 1 day, 11:29:05 time: 0.464 data_time: 0.057 memory: 7434 loss: 0.1289 2022/06/20 03:06:15 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 03:06:15 - mmengine - INFO - Iter(train) [2000/200000] lr: 1.602e-04 eta: 1 day, 11:35:27 time: 0.466 data_time: 0.037 memory: 7431 loss: 0.1272 2022/06/20 03:07:24 - mmengine - INFO - Iter(train) [2100/200000] lr: 1.681e-04 eta: 1 day, 11:41:08 time: 0.476 data_time: 0.061 memory: 7431 loss: 0.1087 2022/06/20 03:08:23 - mmengine - INFO - Iter(train) [2200/200000] lr: 1.761e-04 eta: 1 day, 11:30:25 time: 0.425 data_time: 0.034 memory: 7430 loss: 0.1115 2022/06/20 03:09:32 - mmengine - INFO - Iter(train) [2300/200000] lr: 1.841e-04 eta: 1 day, 11:36:19 time: 0.617 data_time: 0.048 memory: 7433 loss: 0.1087 2022/06/20 03:10:40 - mmengine - INFO - Iter(train) [2400/200000] lr: 1.921e-04 eta: 1 day, 11:39:27 time: 0.462 data_time: 0.045 memory: 7430 loss: 0.1160 2022/06/20 03:11:45 - mmengine - INFO - Iter(train) [2500/200000] lr: 2.001e-04 eta: 1 day, 11:38:27 time: 1.360 data_time: 0.056 memory: 7430 loss: 0.1042 2022/06/20 03:12:42 - mmengine - INFO - Iter(train) [2600/200000] lr: 2.081e-04 eta: 1 day, 11:27:12 time: 0.453 data_time: 0.032 memory: 7431 loss: 0.1100 2022/06/20 03:13:48 - mmengine - INFO - Iter(train) [2700/200000] lr: 2.161e-04 eta: 1 day, 11:28:15 time: 0.477 data_time: 0.047 memory: 7431 loss: 0.0998 2022/06/20 03:14:56 - mmengine - INFO - Iter(train) [2800/200000] lr: 2.240e-04 eta: 1 day, 11:30:39 time: 0.492 data_time: 0.052 memory: 7435 loss: 0.0980 2022/06/20 03:15:53 - mmengine - INFO - Iter(train) [2900/200000] lr: 2.320e-04 eta: 1 day, 11:20:40 time: 1.480 data_time: 0.999 memory: 7432 loss: 0.0917 2022/06/20 03:16:48 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 03:16:48 - mmengine - INFO - Iter(train) [3000/200000] lr: 2.400e-04 eta: 1 day, 11:09:24 time: 0.472 data_time: 0.059 memory: 7433 loss: 0.1032 2022/06/20 03:17:56 - mmengine - INFO - Iter(train) [3100/200000] lr: 2.480e-04 eta: 1 day, 11:12:36 time: 0.459 data_time: 0.045 memory: 7430 loss: 0.1095 2022/06/20 03:19:01 - mmengine - INFO - Iter(train) [3200/200000] lr: 2.560e-04 eta: 1 day, 11:12:02 time: 0.456 data_time: 0.040 memory: 7431 loss: 0.0970 2022/06/20 03:20:07 - mmengine - INFO - Iter(train) [3300/200000] lr: 2.639e-04 eta: 1 day, 11:11:54 time: 1.523 data_time: 0.883 memory: 7430 loss: 0.0874 2022/06/20 03:21:03 - mmengine - INFO - Iter(train) [3400/200000] lr: 2.719e-04 eta: 1 day, 11:02:49 time: 0.439 data_time: 0.035 memory: 7433 loss: 0.0878 2022/06/20 03:22:05 - mmengine - INFO - Iter(train) [3500/200000] lr: 2.799e-04 eta: 1 day, 10:59:32 time: 0.460 data_time: 0.033 memory: 7429 loss: 0.1012 2022/06/20 03:23:11 - mmengine - INFO - Iter(train) [3600/200000] lr: 2.879e-04 eta: 1 day, 11:00:43 time: 0.482 data_time: 0.037 memory: 7432 loss: 0.0951 2022/06/20 03:24:05 - mmengine - INFO - Iter(train) [3700/200000] lr: 2.958e-04 eta: 1 day, 10:50:22 time: 0.446 data_time: 0.044 memory: 7432 loss: 0.1001 2022/06/20 03:25:08 - mmengine - INFO - Iter(train) [3800/200000] lr: 3.038e-04 eta: 1 day, 10:48:12 time: 0.461 data_time: 0.050 memory: 7435 loss: 0.0890 2022/06/20 03:26:22 - mmengine - INFO - Iter(train) [3900/200000] lr: 3.118e-04 eta: 1 day, 10:55:41 time: 1.973 data_time: 0.053 memory: 7431 loss: 0.0915 2022/06/20 03:27:22 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 03:27:22 - mmengine - INFO - Iter(train) [4000/200000] lr: 3.197e-04 eta: 1 day, 10:51:16 time: 0.443 data_time: 0.043 memory: 7432 loss: 0.0919 2022/06/20 03:28:34 - mmengine - INFO - Iter(train) [4100/200000] lr: 3.277e-04 eta: 1 day, 10:56:53 time: 0.468 data_time: 0.048 memory: 7430 loss: 0.0958 2022/06/20 03:29:42 - mmengine - INFO - Iter(train) [4200/200000] lr: 3.357e-04 eta: 1 day, 10:58:29 time: 1.554 data_time: 1.154 memory: 7430 loss: 0.0954 2022/06/20 03:30:38 - mmengine - INFO - Iter(train) [4300/200000] lr: 3.437e-04 eta: 1 day, 10:51:19 time: 0.473 data_time: 0.042 memory: 7432 loss: 0.0936 2022/06/20 03:30:43 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 03:31:44 - mmengine - INFO - Iter(train) [4400/200000] lr: 3.516e-04 eta: 1 day, 10:51:41 time: 1.708 data_time: 1.197 memory: 7431 loss: 0.0871 2022/06/20 03:32:40 - mmengine - INFO - Iter(train) [4500/200000] lr: 3.596e-04 eta: 1 day, 10:44:56 time: 0.441 data_time: 0.037 memory: 7433 loss: 0.1069 2022/06/20 03:33:45 - mmengine - INFO - Iter(train) [4600/200000] lr: 3.675e-04 eta: 1 day, 10:44:24 time: 0.447 data_time: 0.036 memory: 7432 loss: 0.0833 2022/06/20 03:34:41 - mmengine - INFO - Iter(train) [4700/200000] lr: 3.755e-04 eta: 1 day, 10:38:02 time: 1.042 data_time: 0.049 memory: 7432 loss: 0.0876 2022/06/20 03:35:38 - mmengine - INFO - Iter(train) [4800/200000] lr: 3.835e-04 eta: 1 day, 10:32:07 time: 0.459 data_time: 0.044 memory: 7432 loss: 0.0964 2022/06/20 03:36:41 - mmengine - INFO - Iter(train) [4900/200000] lr: 3.914e-04 eta: 1 day, 10:30:21 time: 0.451 data_time: 0.037 memory: 7435 loss: 0.0750 2022/06/20 03:37:42 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 03:37:42 - mmengine - INFO - Iter(train) [5000/200000] lr: 3.994e-04 eta: 1 day, 10:27:45 time: 1.180 data_time: 0.721 memory: 7430 loss: 0.0744 2022/06/20 03:38:38 - mmengine - INFO - Iter(train) [5100/200000] lr: 3.994e-04 eta: 1 day, 10:21:36 time: 0.440 data_time: 0.039 memory: 7432 loss: 0.0989 2022/06/20 03:39:41 - mmengine - INFO - Iter(train) [5200/200000] lr: 3.993e-04 eta: 1 day, 10:20:22 time: 0.466 data_time: 0.036 memory: 7432 loss: 0.0870 2022/06/20 03:40:45 - mmengine - INFO - Iter(train) [5300/200000] lr: 3.993e-04 eta: 1 day, 10:19:33 time: 0.590 data_time: 0.038 memory: 7432 loss: 0.0849 2022/06/20 03:41:46 - mmengine - INFO - Iter(train) [5400/200000] lr: 3.993e-04 eta: 1 day, 10:17:23 time: 0.452 data_time: 0.044 memory: 7431 loss: 0.0835 2022/06/20 03:42:53 - mmengine - INFO - Iter(train) [5500/200000] lr: 3.993e-04 eta: 1 day, 10:18:11 time: 0.472 data_time: 0.041 memory: 7433 loss: 0.0737 2022/06/20 03:43:51 - mmengine - INFO - Iter(train) [5600/200000] lr: 3.992e-04 eta: 1 day, 10:13:54 time: 0.462 data_time: 0.035 memory: 7433 loss: 0.0836 2022/06/20 03:44:56 - mmengine - INFO - Iter(train) [5700/200000] lr: 3.992e-04 eta: 1 day, 10:13:55 time: 0.482 data_time: 0.050 memory: 7433 loss: 0.0782 2022/06/20 03:45:57 - mmengine - INFO - Iter(train) [5800/200000] lr: 3.992e-04 eta: 1 day, 10:11:14 time: 0.478 data_time: 0.073 memory: 7431 loss: 0.0765 2022/06/20 03:47:03 - mmengine - INFO - Iter(train) [5900/200000] lr: 3.991e-04 eta: 1 day, 10:12:02 time: 1.548 data_time: 1.130 memory: 7434 loss: 0.0872 2022/06/20 03:48:03 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 03:48:03 - mmengine - INFO - Iter(train) [6000/200000] lr: 3.991e-04 eta: 1 day, 10:09:00 time: 0.471 data_time: 0.050 memory: 7431 loss: 0.0821 2022/06/20 03:49:19 - mmengine - INFO - Iter(train) [6100/200000] lr: 3.991e-04 eta: 1 day, 10:14:26 time: 0.468 data_time: 0.026 memory: 7431 loss: 0.0811 2022/06/20 03:50:26 - mmengine - INFO - Iter(train) [6200/200000] lr: 3.991e-04 eta: 1 day, 10:15:27 time: 1.514 data_time: 1.090 memory: 7431 loss: 0.0827 2022/06/20 03:51:24 - mmengine - INFO - Iter(train) [6300/200000] lr: 3.990e-04 eta: 1 day, 10:11:07 time: 0.466 data_time: 0.043 memory: 7433 loss: 0.0680 2022/06/20 03:52:28 - mmengine - INFO - Iter(train) [6400/200000] lr: 3.990e-04 eta: 1 day, 10:10:38 time: 0.490 data_time: 0.039 memory: 7433 loss: 0.0716 2022/06/20 03:53:28 - mmengine - INFO - Iter(train) [6500/200000] lr: 3.990e-04 eta: 1 day, 10:07:46 time: 0.670 data_time: 0.078 memory: 7432 loss: 0.0786 2022/06/20 03:54:27 - mmengine - INFO - Iter(train) [6600/200000] lr: 3.989e-04 eta: 1 day, 10:04:29 time: 0.413 data_time: 0.031 memory: 7431 loss: 0.0917 2022/06/20 03:55:37 - mmengine - INFO - Iter(train) [6700/200000] lr: 3.989e-04 eta: 1 day, 10:06:18 time: 0.473 data_time: 0.051 memory: 7434 loss: 0.0726 2022/06/20 03:56:42 - mmengine - INFO - Iter(train) [6800/200000] lr: 3.989e-04 eta: 1 day, 10:06:06 time: 0.460 data_time: 0.043 memory: 7431 loss: 0.0781 2022/06/20 03:57:53 - mmengine - INFO - Iter(train) [6900/200000] lr: 3.988e-04 eta: 1 day, 10:08:26 time: 1.856 data_time: 0.039 memory: 7432 loss: 0.0761 2022/06/20 03:58:52 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 03:58:52 - mmengine - INFO - Iter(train) [7000/200000] lr: 3.988e-04 eta: 1 day, 10:05:29 time: 0.462 data_time: 0.052 memory: 7431 loss: 0.0671 2022/06/20 04:00:07 - mmengine - INFO - Iter(train) [7100/200000] lr: 3.988e-04 eta: 1 day, 10:09:38 time: 0.619 data_time: 0.042 memory: 7432 loss: 0.0775 2022/06/20 04:01:10 - mmengine - INFO - Iter(train) [7200/200000] lr: 3.987e-04 eta: 1 day, 10:07:54 time: 1.217 data_time: 0.721 memory: 7430 loss: 0.0771 2022/06/20 04:02:06 - mmengine - INFO - Iter(train) [7300/200000] lr: 3.987e-04 eta: 1 day, 10:03:43 time: 0.466 data_time: 0.054 memory: 7430 loss: 0.0779 2022/06/20 04:03:15 - mmengine - INFO - Iter(train) [7400/200000] lr: 3.987e-04 eta: 1 day, 10:04:46 time: 0.460 data_time: 0.046 memory: 7432 loss: 0.0661 2022/06/20 04:04:18 - mmengine - INFO - Iter(train) [7500/200000] lr: 3.986e-04 eta: 1 day, 10:03:38 time: 0.473 data_time: 0.052 memory: 7432 loss: 0.0741 2022/06/20 04:05:22 - mmengine - INFO - Iter(train) [7600/200000] lr: 3.986e-04 eta: 1 day, 10:02:44 time: 1.370 data_time: 0.059 memory: 7431 loss: 0.0673 2022/06/20 04:06:24 - mmengine - INFO - Iter(train) [7700/200000] lr: 3.985e-04 eta: 1 day, 10:00:38 time: 1.199 data_time: 0.032 memory: 7432 loss: 0.0677 2022/06/20 04:07:16 - mmengine - INFO - Iter(train) [7800/200000] lr: 3.985e-04 eta: 1 day, 9:54:52 time: 0.472 data_time: 0.041 memory: 7431 loss: 0.0648 2022/06/20 04:08:28 - mmengine - INFO - Iter(train) [7900/200000] lr: 3.985e-04 eta: 1 day, 9:57:18 time: 0.461 data_time: 0.046 memory: 7431 loss: 0.0704 2022/06/20 04:09:37 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 04:09:37 - mmengine - INFO - Iter(train) [8000/200000] lr: 3.984e-04 eta: 1 day, 9:58:27 time: 0.471 data_time: 0.039 memory: 7431 loss: 0.0710 2022/06/20 04:10:47 - mmengine - INFO - Iter(train) [8100/200000] lr: 3.984e-04 eta: 1 day, 9:59:43 time: 1.701 data_time: 0.029 memory: 7434 loss: 0.0734 2022/06/20 04:11:45 - mmengine - INFO - Iter(train) [8200/200000] lr: 3.983e-04 eta: 1 day, 9:56:36 time: 0.443 data_time: 0.039 memory: 7432 loss: 0.0726 2022/06/20 04:12:44 - mmengine - INFO - Iter(train) [8300/200000] lr: 3.983e-04 eta: 1 day, 9:53:39 time: 0.473 data_time: 0.059 memory: 7431 loss: 0.0707 2022/06/20 04:13:55 - mmengine - INFO - Iter(train) [8400/200000] lr: 3.983e-04 eta: 1 day, 9:55:27 time: 0.471 data_time: 0.070 memory: 7432 loss: 0.0801 2022/06/20 04:14:54 - mmengine - INFO - Iter(train) [8500/200000] lr: 3.982e-04 eta: 1 day, 9:52:39 time: 0.477 data_time: 0.044 memory: 7432 loss: 0.0597 2022/06/20 04:16:00 - mmengine - INFO - Iter(train) [8600/200000] lr: 3.982e-04 eta: 1 day, 9:52:19 time: 0.485 data_time: 0.054 memory: 7432 loss: 0.0694 2022/06/20 04:17:07 - mmengine - INFO - Iter(train) [8700/200000] lr: 3.981e-04 eta: 1 day, 9:52:26 time: 0.766 data_time: 0.054 memory: 7433 loss: 0.0642 2022/06/20 04:18:10 - mmengine - INFO - Iter(train) [8800/200000] lr: 3.981e-04 eta: 1 day, 9:51:09 time: 1.529 data_time: 0.049 memory: 7433 loss: 0.0727 2022/06/20 04:19:07 - mmengine - INFO - Iter(train) [8900/200000] lr: 3.980e-04 eta: 1 day, 9:47:37 time: 0.471 data_time: 0.055 memory: 7431 loss: 0.0638 2022/06/20 04:20:12 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 04:20:12 - mmengine - INFO - Iter(train) [9000/200000] lr: 3.980e-04 eta: 1 day, 9:47:10 time: 0.474 data_time: 0.046 memory: 7431 loss: 0.0708 2022/06/20 04:21:18 - mmengine - INFO - Iter(train) [9100/200000] lr: 3.980e-04 eta: 1 day, 9:46:48 time: 0.476 data_time: 0.043 memory: 7432 loss: 0.0614 2022/06/20 04:22:28 - mmengine - INFO - Iter(train) [9200/200000] lr: 3.979e-04 eta: 1 day, 9:47:58 time: 0.607 data_time: 0.052 memory: 7430 loss: 0.0706 2022/06/20 04:23:23 - mmengine - INFO - Iter(train) [9300/200000] lr: 3.979e-04 eta: 1 day, 9:43:52 time: 0.482 data_time: 0.046 memory: 7430 loss: 0.0770 2022/06/20 04:24:34 - mmengine - INFO - Iter(train) [9400/200000] lr: 3.978e-04 eta: 1 day, 9:45:10 time: 0.448 data_time: 0.036 memory: 7432 loss: 0.0673 2022/06/20 04:25:41 - mmengine - INFO - Iter(train) [9500/200000] lr: 3.978e-04 eta: 1 day, 9:45:13 time: 0.449 data_time: 0.041 memory: 7433 loss: 0.0682 2022/06/20 04:26:47 - mmengine - INFO - Iter(train) [9600/200000] lr: 3.977e-04 eta: 1 day, 9:44:48 time: 1.837 data_time: 0.030 memory: 7433 loss: 0.0627 2022/06/20 04:27:34 - mmengine - INFO - Iter(train) [9700/200000] lr: 3.977e-04 eta: 1 day, 9:38:21 time: 0.441 data_time: 0.036 memory: 7431 loss: 0.0715 2022/06/20 04:28:40 - mmengine - INFO - Iter(train) [9800/200000] lr: 3.976e-04 eta: 1 day, 9:37:59 time: 0.474 data_time: 0.042 memory: 7432 loss: 0.0704 2022/06/20 04:29:38 - mmengine - INFO - Iter(train) [9900/200000] lr: 3.976e-04 eta: 1 day, 9:35:03 time: 0.451 data_time: 0.051 memory: 7430 loss: 0.0668 2022/06/20 04:30:48 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 04:30:48 - mmengine - INFO - Iter(train) [10000/200000] lr: 3.975e-04 eta: 1 day, 9:36:12 time: 0.434 data_time: 0.046 memory: 7431 loss: 0.0708 2022/06/20 04:30:48 - mmengine - INFO - Saving checkpoint at 10000 iterations 2022/06/20 04:31:59 - mmengine - INFO - Iter(val) [100/250] eta: 0:01:14 time: 0.496 data_time: 0.028 memory: 2345 2022/06/20 04:32:55 - mmengine - INFO - Iter(val) [200/250] eta: 0:00:23 time: 0.478 data_time: 0.027 memory: 2001 2022/06/20 04:33:32 - mmengine - INFO - Iter(val) [250/250] SAD: 59.4994 MattingMSE: 0.0192 GradientError: 37.2319 ConnectivityError: 61.5402 2022/06/20 04:34:31 - mmengine - INFO - Iter(train) [10100/200000] lr: 3.975e-04 eta: 1 day, 9:34:09 time: 0.454 data_time: 0.040 memory: 7430 loss: 0.0639 2022/06/20 04:35:36 - mmengine - INFO - Iter(train) [10200/200000] lr: 3.974e-04 eta: 1 day, 9:33:18 time: 0.448 data_time: 0.039 memory: 7430 loss: 0.0680 2022/06/20 04:36:40 - mmengine - INFO - Iter(train) [10300/200000] lr: 3.974e-04 eta: 1 day, 9:32:25 time: 1.199 data_time: 0.034 memory: 7433 loss: 0.0626 2022/06/20 04:37:39 - mmengine - INFO - Iter(train) [10400/200000] lr: 3.973e-04 eta: 1 day, 9:30:05 time: 0.484 data_time: 0.066 memory: 7430 loss: 0.0740 2022/06/20 04:38:49 - mmengine - INFO - Iter(train) [10500/200000] lr: 3.973e-04 eta: 1 day, 9:30:43 time: 0.464 data_time: 0.046 memory: 7431 loss: 0.0656 2022/06/20 04:39:55 - mmengine - INFO - Iter(train) [10600/200000] lr: 3.972e-04 eta: 1 day, 9:30:32 time: 0.461 data_time: 0.049 memory: 7432 loss: 0.0552 2022/06/20 04:40:54 - mmengine - INFO - Iter(train) [10700/200000] lr: 3.972e-04 eta: 1 day, 9:27:55 time: 0.459 data_time: 0.053 memory: 7431 loss: 0.0733 2022/06/20 04:41:53 - mmengine - INFO - Iter(train) [10800/200000] lr: 3.971e-04 eta: 1 day, 9:25:38 time: 0.477 data_time: 0.039 memory: 7432 loss: 0.0658 2022/06/20 04:42:47 - mmengine - INFO - Iter(train) [10900/200000] lr: 3.971e-04 eta: 1 day, 9:21:52 time: 0.450 data_time: 0.041 memory: 7431 loss: 0.0644 2022/06/20 04:43:58 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 04:43:58 - mmengine - INFO - Iter(train) [11000/200000] lr: 3.970e-04 eta: 1 day, 9:22:49 time: 0.451 data_time: 0.038 memory: 7431 loss: 0.0675 2022/06/20 04:45:03 - mmengine - INFO - Iter(train) [11100/200000] lr: 3.970e-04 eta: 1 day, 9:22:20 time: 0.452 data_time: 0.046 memory: 7433 loss: 0.0712 2022/06/20 04:46:09 - mmengine - INFO - Iter(train) [11200/200000] lr: 3.969e-04 eta: 1 day, 9:21:44 time: 1.205 data_time: 0.102 memory: 7432 loss: 0.0752 2022/06/20 04:47:09 - mmengine - INFO - Iter(train) [11300/200000] lr: 3.969e-04 eta: 1 day, 9:19:41 time: 0.493 data_time: 0.058 memory: 7432 loss: 0.0622 2022/06/20 04:48:13 - mmengine - INFO - Iter(train) [11400/200000] lr: 3.968e-04 eta: 1 day, 9:18:41 time: 0.470 data_time: 0.046 memory: 7431 loss: 0.0698 2022/06/20 04:49:07 - mmengine - INFO - Iter(train) [11500/200000] lr: 3.967e-04 eta: 1 day, 9:15:00 time: 0.419 data_time: 0.034 memory: 7432 loss: 0.0573 2022/06/20 04:50:17 - mmengine - INFO - Iter(train) [11600/200000] lr: 3.967e-04 eta: 1 day, 9:15:57 time: 0.469 data_time: 0.038 memory: 7432 loss: 0.0756 2022/06/20 04:51:15 - mmengine - INFO - Iter(train) [11700/200000] lr: 3.966e-04 eta: 1 day, 9:13:12 time: 0.419 data_time: 0.032 memory: 7431 loss: 0.0763 2022/06/20 04:52:23 - mmengine - INFO - Iter(train) [11800/200000] lr: 3.966e-04 eta: 1 day, 9:13:17 time: 0.454 data_time: 0.045 memory: 7431 loss: 0.0684 2022/06/20 04:53:26 - mmengine - INFO - Iter(train) [11900/200000] lr: 3.965e-04 eta: 1 day, 9:12:15 time: 0.445 data_time: 0.040 memory: 7433 loss: 0.0657 2022/06/20 04:54:27 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 04:54:27 - mmengine - INFO - Iter(train) [12000/200000] lr: 3.965e-04 eta: 1 day, 9:10:23 time: 0.480 data_time: 0.041 memory: 7431 loss: 0.0618 2022/06/20 04:55:20 - mmengine - INFO - Iter(train) [12100/200000] lr: 3.964e-04 eta: 1 day, 9:06:37 time: 0.429 data_time: 0.038 memory: 7430 loss: 0.0731 2022/06/20 04:56:27 - mmengine - INFO - Iter(train) [12200/200000] lr: 3.963e-04 eta: 1 day, 9:06:25 time: 0.458 data_time: 0.040 memory: 7430 loss: 0.0629 2022/06/20 04:57:24 - mmengine - INFO - Iter(train) [12300/200000] lr: 3.963e-04 eta: 1 day, 9:03:44 time: 0.482 data_time: 0.039 memory: 7435 loss: 0.0588 2022/06/20 04:58:25 - mmengine - INFO - Iter(train) [12400/200000] lr: 3.962e-04 eta: 1 day, 9:02:05 time: 1.155 data_time: 0.035 memory: 7433 loss: 0.0673 2022/06/20 04:59:17 - mmengine - INFO - Iter(train) [12500/200000] lr: 3.962e-04 eta: 1 day, 8:58:16 time: 0.454 data_time: 0.044 memory: 7434 loss: 0.0674 2022/06/20 05:00:14 - mmengine - INFO - Iter(train) [12600/200000] lr: 3.961e-04 eta: 1 day, 8:55:40 time: 0.466 data_time: 0.033 memory: 7433 loss: 0.0718 2022/06/20 05:01:19 - mmengine - INFO - Iter(train) [12700/200000] lr: 3.960e-04 eta: 1 day, 8:54:59 time: 0.446 data_time: 0.038 memory: 7432 loss: 0.0683 2022/06/20 05:02:14 - mmengine - INFO - Iter(train) [12800/200000] lr: 3.960e-04 eta: 1 day, 8:51:50 time: 0.602 data_time: 0.075 memory: 7431 loss: 0.0701 2022/06/20 05:03:12 - mmengine - INFO - Iter(train) [12900/200000] lr: 3.959e-04 eta: 1 day, 8:49:35 time: 1.399 data_time: 0.970 memory: 7430 loss: 0.0724 2022/06/20 05:04:13 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 05:04:13 - mmengine - INFO - Iter(train) [13000/200000] lr: 3.958e-04 eta: 1 day, 8:48:00 time: 1.563 data_time: 0.047 memory: 7432 loss: 0.0622 2022/06/20 05:05:12 - mmengine - INFO - Iter(train) [13100/200000] lr: 3.958e-04 eta: 1 day, 8:45:58 time: 1.372 data_time: 0.037 memory: 7434 loss: 0.0627 2022/06/20 05:06:06 - mmengine - INFO - Iter(train) [13200/200000] lr: 3.957e-04 eta: 1 day, 8:42:47 time: 0.449 data_time: 0.038 memory: 7431 loss: 0.0616 2022/06/20 05:07:03 - mmengine - INFO - Iter(train) [13300/200000] lr: 3.957e-04 eta: 1 day, 8:40:18 time: 0.489 data_time: 0.050 memory: 7431 loss: 0.0703 2022/06/20 05:07:55 - mmengine - INFO - Iter(train) [13400/200000] lr: 3.956e-04 eta: 1 day, 8:36:38 time: 0.448 data_time: 0.043 memory: 7431 loss: 0.0627 2022/06/20 05:08:44 - mmengine - INFO - Iter(train) [13500/200000] lr: 3.955e-04 eta: 1 day, 8:32:28 time: 0.597 data_time: 0.193 memory: 7431 loss: 0.0665 2022/06/20 05:09:48 - mmengine - INFO - Iter(train) [13600/200000] lr: 3.955e-04 eta: 1 day, 8:31:39 time: 0.463 data_time: 0.045 memory: 7430 loss: 0.0623 2022/06/20 05:10:45 - mmengine - INFO - Iter(train) [13700/200000] lr: 3.954e-04 eta: 1 day, 8:29:16 time: 0.485 data_time: 0.039 memory: 7433 loss: 0.0608 2022/06/20 05:11:49 - mmengine - INFO - Iter(train) [13800/200000] lr: 3.953e-04 eta: 1 day, 8:28:31 time: 0.479 data_time: 0.054 memory: 7431 loss: 0.0628 2022/06/20 05:12:53 - mmengine - INFO - Iter(train) [13900/200000] lr: 3.953e-04 eta: 1 day, 8:27:52 time: 0.444 data_time: 0.044 memory: 7432 loss: 0.0695 2022/06/20 05:13:40 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 05:13:40 - mmengine - INFO - Iter(train) [14000/200000] lr: 3.952e-04 eta: 1 day, 8:23:17 time: 0.444 data_time: 0.048 memory: 7432 loss: 0.0702 2022/06/20 05:14:47 - mmengine - INFO - Iter(train) [14100/200000] lr: 3.951e-04 eta: 1 day, 8:23:07 time: 0.433 data_time: 0.032 memory: 7432 loss: 0.0696 2022/06/20 05:15:46 - mmengine - INFO - Iter(train) [14200/200000] lr: 3.950e-04 eta: 1 day, 8:21:20 time: 0.493 data_time: 0.062 memory: 7432 loss: 0.0666 2022/06/20 05:16:43 - mmengine - INFO - Iter(train) [14300/200000] lr: 3.950e-04 eta: 1 day, 8:18:55 time: 0.456 data_time: 0.055 memory: 7432 loss: 0.0597 2022/06/20 05:17:35 - mmengine - INFO - Iter(train) [14400/200000] lr: 3.949e-04 eta: 1 day, 8:15:43 time: 0.446 data_time: 0.047 memory: 7433 loss: 0.0636 2022/06/20 05:18:29 - mmengine - INFO - Iter(train) [14500/200000] lr: 3.948e-04 eta: 1 day, 8:12:42 time: 0.411 data_time: 0.031 memory: 7431 loss: 0.0631 2022/06/20 05:19:28 - mmengine - INFO - Iter(train) [14600/200000] lr: 3.948e-04 eta: 1 day, 8:11:02 time: 0.469 data_time: 0.036 memory: 7431 loss: 0.0627 2022/06/20 05:20:21 - mmengine - INFO - Iter(train) [14700/200000] lr: 3.947e-04 eta: 1 day, 8:07:54 time: 0.438 data_time: 0.030 memory: 7433 loss: 0.0578 2022/06/20 05:21:23 - mmengine - INFO - Iter(train) [14800/200000] lr: 3.946e-04 eta: 1 day, 8:06:47 time: 0.467 data_time: 0.039 memory: 7432 loss: 0.0586 2022/06/20 05:22:17 - mmengine - INFO - Iter(train) [14900/200000] lr: 3.945e-04 eta: 1 day, 8:04:01 time: 0.577 data_time: 0.054 memory: 7432 loss: 0.0693 2022/06/20 05:23:11 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 05:23:11 - mmengine - INFO - Iter(train) [15000/200000] lr: 3.945e-04 eta: 1 day, 8:01:19 time: 0.466 data_time: 0.043 memory: 7431 loss: 0.0593 2022/06/20 05:24:07 - mmengine - INFO - Iter(train) [15100/200000] lr: 3.944e-04 eta: 1 day, 7:59:00 time: 0.725 data_time: 0.125 memory: 7431 loss: 0.0576 2022/06/20 05:24:53 - mmengine - INFO - Iter(train) [15200/200000] lr: 3.943e-04 eta: 1 day, 7:54:40 time: 0.416 data_time: 0.028 memory: 7432 loss: 0.0556 2022/06/20 05:25:45 - mmengine - INFO - Iter(train) [15300/200000] lr: 3.943e-04 eta: 1 day, 7:51:26 time: 0.471 data_time: 0.035 memory: 7429 loss: 0.0549 2022/06/20 05:26:40 - mmengine - INFO - Iter(train) [15400/200000] lr: 3.942e-04 eta: 1 day, 7:49:09 time: 0.466 data_time: 0.041 memory: 7430 loss: 0.0642 2022/06/20 05:27:31 - mmengine - INFO - Iter(train) [15500/200000] lr: 3.941e-04 eta: 1 day, 7:45:53 time: 0.486 data_time: 0.083 memory: 7431 loss: 0.0551 2022/06/20 05:28:26 - mmengine - INFO - Iter(train) [15600/200000] lr: 3.940e-04 eta: 1 day, 7:43:22 time: 0.464 data_time: 0.046 memory: 7432 loss: 0.0643 2022/06/20 05:29:30 - mmengine - INFO - Iter(train) [15700/200000] lr: 3.939e-04 eta: 1 day, 7:42:47 time: 0.497 data_time: 0.035 memory: 7432 loss: 0.0546 2022/06/20 05:30:31 - mmengine - INFO - Iter(train) [15800/200000] lr: 3.939e-04 eta: 1 day, 7:41:34 time: 0.461 data_time: 0.054 memory: 7431 loss: 0.0569 2022/06/20 05:31:30 - mmengine - INFO - Iter(train) [15900/200000] lr: 3.938e-04 eta: 1 day, 7:40:00 time: 0.509 data_time: 0.079 memory: 7430 loss: 0.0529 2022/06/20 05:32:24 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 05:32:24 - mmengine - INFO - Iter(train) [16000/200000] lr: 3.937e-04 eta: 1 day, 7:37:27 time: 0.441 data_time: 0.037 memory: 7432 loss: 0.0608 2022/06/20 05:33:23 - mmengine - INFO - Iter(train) [16100/200000] lr: 3.936e-04 eta: 1 day, 7:35:54 time: 0.459 data_time: 0.034 memory: 7434 loss: 0.0539 2022/06/20 05:34:19 - mmengine - INFO - Iter(train) [16200/200000] lr: 3.936e-04 eta: 1 day, 7:33:45 time: 0.458 data_time: 0.047 memory: 7429 loss: 0.0657 2022/06/20 05:35:11 - mmengine - INFO - Iter(train) [16300/200000] lr: 3.935e-04 eta: 1 day, 7:30:46 time: 0.444 data_time: 0.034 memory: 7429 loss: 0.0586 2022/06/20 05:36:14 - mmengine - INFO - Iter(train) [16400/200000] lr: 3.934e-04 eta: 1 day, 7:29:57 time: 0.476 data_time: 0.055 memory: 7431 loss: 0.0566 2022/06/20 05:37:12 - mmengine - INFO - Iter(train) [16500/200000] lr: 3.933e-04 eta: 1 day, 7:28:12 time: 0.446 data_time: 0.045 memory: 7430 loss: 0.0615 2022/06/20 05:38:15 - mmengine - INFO - Iter(train) [16600/200000] lr: 3.932e-04 eta: 1 day, 7:27:31 time: 0.487 data_time: 0.065 memory: 7431 loss: 0.0634 2022/06/20 05:39:12 - mmengine - INFO - Iter(train) [16700/200000] lr: 3.932e-04 eta: 1 day, 7:25:37 time: 0.444 data_time: 0.041 memory: 7431 loss: 0.0638 2022/06/20 05:40:16 - mmengine - INFO - Iter(train) [16800/200000] lr: 3.931e-04 eta: 1 day, 7:25:04 time: 0.463 data_time: 0.043 memory: 7431 loss: 0.0575 2022/06/20 05:41:13 - mmengine - INFO - Iter(train) [16900/200000] lr: 3.930e-04 eta: 1 day, 7:23:08 time: 0.470 data_time: 0.042 memory: 7431 loss: 0.0576 2022/06/20 05:42:08 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 05:42:08 - mmengine - INFO - Iter(train) [17000/200000] lr: 3.929e-04 eta: 1 day, 7:20:54 time: 0.541 data_time: 0.037 memory: 7430 loss: 0.0616 2022/06/20 05:42:57 - mmengine - INFO - Iter(train) [17100/200000] lr: 3.928e-04 eta: 1 day, 7:17:33 time: 0.459 data_time: 0.048 memory: 7431 loss: 0.0591 2022/06/20 05:43:57 - mmengine - INFO - Iter(train) [17200/200000] lr: 3.927e-04 eta: 1 day, 7:16:13 time: 0.455 data_time: 0.039 memory: 7430 loss: 0.0635 2022/06/20 05:44:48 - mmengine - INFO - Iter(train) [17300/200000] lr: 3.927e-04 eta: 1 day, 7:13:20 time: 0.463 data_time: 0.036 memory: 7431 loss: 0.0699 2022/06/20 05:45:49 - mmengine - INFO - Iter(train) [17400/200000] lr: 3.926e-04 eta: 1 day, 7:12:10 time: 0.722 data_time: 0.123 memory: 7433 loss: 0.0636 2022/06/20 05:46:41 - mmengine - INFO - Iter(train) [17500/200000] lr: 3.925e-04 eta: 1 day, 7:09:31 time: 0.500 data_time: 0.061 memory: 7430 loss: 0.0556 2022/06/20 05:47:37 - mmengine - INFO - Iter(train) [17600/200000] lr: 3.924e-04 eta: 1 day, 7:07:32 time: 0.487 data_time: 0.058 memory: 7430 loss: 0.0540 2022/06/20 05:48:38 - mmengine - INFO - Iter(train) [17700/200000] lr: 3.923e-04 eta: 1 day, 7:06:33 time: 1.736 data_time: 0.053 memory: 7432 loss: 0.0586 2022/06/20 05:49:33 - mmengine - INFO - Iter(train) [17800/200000] lr: 3.922e-04 eta: 1 day, 7:04:19 time: 0.439 data_time: 0.032 memory: 7431 loss: 0.0599 2022/06/20 05:50:35 - mmengine - INFO - Iter(train) [17900/200000] lr: 3.921e-04 eta: 1 day, 7:03:24 time: 0.456 data_time: 0.057 memory: 7431 loss: 0.0596 2022/06/20 05:51:35 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 05:51:35 - mmengine - INFO - Iter(train) [18000/200000] lr: 3.921e-04 eta: 1 day, 7:02:12 time: 0.459 data_time: 0.051 memory: 7432 loss: 0.0555 2022/06/20 05:52:38 - mmengine - INFO - Iter(train) [18100/200000] lr: 3.920e-04 eta: 1 day, 7:01:23 time: 0.525 data_time: 0.074 memory: 7430 loss: 0.0537 2022/06/20 05:53:41 - mmengine - INFO - Iter(train) [18200/200000] lr: 3.919e-04 eta: 1 day, 7:00:44 time: 1.248 data_time: 0.038 memory: 7433 loss: 0.0600 2022/06/20 05:54:33 - mmengine - INFO - Iter(train) [18300/200000] lr: 3.918e-04 eta: 1 day, 6:58:06 time: 0.467 data_time: 0.037 memory: 7431 loss: 0.0551 2022/06/20 05:55:31 - mmengine - INFO - Iter(train) [18400/200000] lr: 3.917e-04 eta: 1 day, 6:56:28 time: 0.496 data_time: 0.072 memory: 7430 loss: 0.0524 2022/06/20 05:56:34 - mmengine - INFO - Iter(train) [18500/200000] lr: 3.916e-04 eta: 1 day, 6:55:43 time: 0.674 data_time: 0.213 memory: 7430 loss: 0.0627 2022/06/20 05:57:35 - mmengine - INFO - Iter(train) [18600/200000] lr: 3.915e-04 eta: 1 day, 6:54:38 time: 0.695 data_time: 0.055 memory: 7430 loss: 0.0572 2022/06/20 05:58:31 - mmengine - INFO - Iter(train) [18700/200000] lr: 3.914e-04 eta: 1 day, 6:52:45 time: 0.473 data_time: 0.059 memory: 7431 loss: 0.0539 2022/06/20 05:59:41 - mmengine - INFO - Iter(train) [18800/200000] lr: 3.913e-04 eta: 1 day, 6:53:09 time: 1.456 data_time: 0.060 memory: 7433 loss: 0.0528 2022/06/20 06:00:45 - mmengine - INFO - Iter(train) [18900/200000] lr: 3.913e-04 eta: 1 day, 6:52:35 time: 0.760 data_time: 0.057 memory: 7431 loss: 0.0541 2022/06/20 06:01:51 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 06:01:51 - mmengine - INFO - Iter(train) [19000/200000] lr: 3.912e-04 eta: 1 day, 6:52:14 time: 0.716 data_time: 0.086 memory: 7430 loss: 0.0545 2022/06/20 06:03:01 - mmengine - INFO - Iter(train) [19100/200000] lr: 3.911e-04 eta: 1 day, 6:52:34 time: 0.515 data_time: 0.037 memory: 7431 loss: 0.0569 2022/06/20 06:04:12 - mmengine - INFO - Iter(train) [19200/200000] lr: 3.910e-04 eta: 1 day, 6:53:08 time: 0.686 data_time: 0.218 memory: 7432 loss: 0.0688 2022/06/20 06:05:27 - mmengine - INFO - Iter(train) [19300/200000] lr: 3.909e-04 eta: 1 day, 6:54:06 time: 0.506 data_time: 0.054 memory: 7431 loss: 0.0609 2022/06/20 06:06:15 - mmengine - INFO - Iter(train) [19400/200000] lr: 3.908e-04 eta: 1 day, 6:51:00 time: 0.419 data_time: 0.032 memory: 7432 loss: 0.0605 2022/06/20 06:07:10 - mmengine - INFO - Iter(train) [19500/200000] lr: 3.907e-04 eta: 1 day, 6:49:04 time: 0.450 data_time: 0.043 memory: 7431 loss: 0.0587 2022/06/20 06:08:06 - mmengine - INFO - Iter(train) [19600/200000] lr: 3.906e-04 eta: 1 day, 6:47:08 time: 0.464 data_time: 0.032 memory: 7430 loss: 0.0621 2022/06/20 06:09:02 - mmengine - INFO - Iter(train) [19700/200000] lr: 3.905e-04 eta: 1 day, 6:45:20 time: 0.430 data_time: 0.031 memory: 7433 loss: 0.0611 2022/06/20 06:10:03 - mmengine - INFO - Iter(train) [19800/200000] lr: 3.904e-04 eta: 1 day, 6:44:11 time: 0.458 data_time: 0.045 memory: 7429 loss: 0.0580 2022/06/20 06:11:01 - mmengine - INFO - Iter(train) [19900/200000] lr: 3.903e-04 eta: 1 day, 6:42:35 time: 0.482 data_time: 0.042 memory: 7430 loss: 0.0550 2022/06/20 06:11:55 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 06:11:55 - mmengine - INFO - Iter(train) [20000/200000] lr: 3.902e-04 eta: 1 day, 6:40:30 time: 0.455 data_time: 0.044 memory: 7431 loss: 0.0571 2022/06/20 06:11:55 - mmengine - INFO - Saving checkpoint at 20000 iterations 2022/06/20 06:13:01 - mmengine - INFO - Iter(val) [100/250] eta: 0:01:19 time: 0.527 data_time: 0.028 memory: 2343 2022/06/20 06:13:54 - mmengine - INFO - Iter(val) [200/250] eta: 0:00:24 time: 0.495 data_time: 0.030 memory: 1999 2022/06/20 06:14:26 - mmengine - INFO - Iter(val) [250/250] SAD: 57.2131 MattingMSE: 0.0201 GradientError: 32.5404 ConnectivityError: 58.0534 2022/06/20 06:15:19 - mmengine - INFO - Iter(train) [20100/200000] lr: 3.901e-04 eta: 1 day, 6:38:22 time: 0.664 data_time: 0.035 memory: 7430 loss: 0.0592 2022/06/20 06:16:14 - mmengine - INFO - Iter(train) [20200/200000] lr: 3.900e-04 eta: 1 day, 6:36:24 time: 0.443 data_time: 0.037 memory: 7430 loss: 0.0608 2022/06/20 06:17:11 - mmengine - INFO - Iter(train) [20300/200000] lr: 3.899e-04 eta: 1 day, 6:34:48 time: 0.458 data_time: 0.046 memory: 7433 loss: 0.0547 2022/06/20 06:18:10 - mmengine - INFO - Iter(train) [20400/200000] lr: 3.898e-04 eta: 1 day, 6:33:20 time: 0.441 data_time: 0.039 memory: 7431 loss: 0.0564 2022/06/20 06:19:04 - mmengine - INFO - Iter(train) [20500/200000] lr: 3.897e-04 eta: 1 day, 6:31:22 time: 0.622 data_time: 0.071 memory: 7432 loss: 0.0547 2022/06/20 06:20:02 - mmengine - INFO - Iter(train) [20600/200000] lr: 3.896e-04 eta: 1 day, 6:29:49 time: 0.466 data_time: 0.047 memory: 7432 loss: 0.0564 2022/06/20 06:21:02 - mmengine - INFO - Iter(train) [20700/200000] lr: 3.895e-04 eta: 1 day, 6:28:37 time: 1.551 data_time: 0.038 memory: 7431 loss: 0.0642 2022/06/20 06:21:54 - mmengine - INFO - Iter(train) [20800/200000] lr: 3.894e-04 eta: 1 day, 6:26:17 time: 0.485 data_time: 0.040 memory: 7431 loss: 0.0584 2022/06/20 06:22:51 - mmengine - INFO - Iter(train) [20900/200000] lr: 3.893e-04 eta: 1 day, 6:24:39 time: 0.462 data_time: 0.042 memory: 7431 loss: 0.0575 2022/06/20 06:23:53 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 06:23:53 - mmengine - INFO - Iter(train) [21000/200000] lr: 3.892e-04 eta: 1 day, 6:23:42 time: 0.473 data_time: 0.041 memory: 7431 loss: 0.0571 2022/06/20 06:24:43 - mmengine - INFO - Iter(train) [21100/200000] lr: 3.891e-04 eta: 1 day, 6:21:09 time: 0.492 data_time: 0.050 memory: 7432 loss: 0.0633 2022/06/20 06:25:41 - mmengine - INFO - Iter(train) [21200/200000] lr: 3.890e-04 eta: 1 day, 6:19:41 time: 0.481 data_time: 0.031 memory: 7431 loss: 0.0495 2022/06/20 06:26:34 - mmengine - INFO - Iter(train) [21300/200000] lr: 3.889e-04 eta: 1 day, 6:17:36 time: 0.618 data_time: 0.054 memory: 7433 loss: 0.0553 2022/06/20 06:27:31 - mmengine - INFO - Iter(train) [21400/200000] lr: 3.888e-04 eta: 1 day, 6:16:01 time: 0.597 data_time: 0.138 memory: 7437 loss: 0.0679 2022/06/20 06:28:34 - mmengine - INFO - Iter(train) [21500/200000] lr: 3.887e-04 eta: 1 day, 6:15:13 time: 1.391 data_time: 0.041 memory: 7433 loss: 0.0551 2022/06/20 06:29:28 - mmengine - INFO - Iter(train) [21600/200000] lr: 3.886e-04 eta: 1 day, 6:13:15 time: 0.448 data_time: 0.047 memory: 7431 loss: 0.0580 2022/06/20 06:30:28 - mmengine - INFO - Iter(train) [21700/200000] lr: 3.885e-04 eta: 1 day, 6:12:05 time: 0.454 data_time: 0.039 memory: 7432 loss: 0.0513 2022/06/20 06:31:25 - mmengine - INFO - Iter(train) [21800/200000] lr: 3.884e-04 eta: 1 day, 6:10:35 time: 1.405 data_time: 0.986 memory: 7433 loss: 0.0612 2022/06/20 06:32:16 - mmengine - INFO - Iter(train) [21900/200000] lr: 3.883e-04 eta: 1 day, 6:08:10 time: 0.476 data_time: 0.057 memory: 7430 loss: 0.0591 2022/06/20 06:33:10 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 06:33:10 - mmengine - INFO - Iter(train) [22000/200000] lr: 3.882e-04 eta: 1 day, 6:06:10 time: 0.455 data_time: 0.057 memory: 7436 loss: 0.0615 2022/06/20 06:34:07 - mmengine - INFO - Iter(train) [22100/200000] lr: 3.881e-04 eta: 1 day, 6:04:40 time: 0.587 data_time: 0.066 memory: 7435 loss: 0.0552 2022/06/20 06:35:07 - mmengine - INFO - Iter(train) [22200/200000] lr: 3.880e-04 eta: 1 day, 6:03:32 time: 0.455 data_time: 0.041 memory: 7433 loss: 0.0553 2022/06/20 06:36:06 - mmengine - INFO - Iter(train) [22300/200000] lr: 3.879e-04 eta: 1 day, 6:02:20 time: 0.498 data_time: 0.066 memory: 7432 loss: 0.0523 2022/06/20 06:37:03 - mmengine - INFO - Iter(train) [22400/200000] lr: 3.877e-04 eta: 1 day, 6:00:47 time: 1.375 data_time: 0.055 memory: 7431 loss: 0.0552 2022/06/20 06:37:54 - mmengine - INFO - Iter(train) [22500/200000] lr: 3.876e-04 eta: 1 day, 5:58:25 time: 0.458 data_time: 0.042 memory: 7431 loss: 0.0544 2022/06/20 06:38:49 - mmengine - INFO - Iter(train) [22600/200000] lr: 3.875e-04 eta: 1 day, 5:56:43 time: 0.456 data_time: 0.043 memory: 7434 loss: 0.0609 2022/06/20 06:39:43 - mmengine - INFO - Iter(train) [22700/200000] lr: 3.874e-04 eta: 1 day, 5:54:50 time: 0.436 data_time: 0.035 memory: 7432 loss: 0.0568 2022/06/20 06:40:43 - mmengine - INFO - Iter(train) [22800/200000] lr: 3.873e-04 eta: 1 day, 5:53:38 time: 1.263 data_time: 0.040 memory: 7431 loss: 0.0547 2022/06/20 06:41:36 - mmengine - INFO - Iter(train) [22900/200000] lr: 3.872e-04 eta: 1 day, 5:51:41 time: 0.861 data_time: 0.058 memory: 7432 loss: 0.0650 2022/06/20 06:42:24 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 06:42:24 - mmengine - INFO - Iter(train) [23000/200000] lr: 3.871e-04 eta: 1 day, 5:49:01 time: 0.449 data_time: 0.044 memory: 7433 loss: 0.0550 2022/06/20 06:43:25 - mmengine - INFO - Iter(train) [23100/200000] lr: 3.870e-04 eta: 1 day, 5:48:04 time: 0.452 data_time: 0.051 memory: 7431 loss: 0.0573 2022/06/20 06:44:17 - mmengine - INFO - Iter(train) [23200/200000] lr: 3.869e-04 eta: 1 day, 5:45:56 time: 0.511 data_time: 0.044 memory: 7432 loss: 0.0542 2022/06/20 06:45:20 - mmengine - INFO - Iter(train) [23300/200000] lr: 3.868e-04 eta: 1 day, 5:45:13 time: 1.853 data_time: 0.034 memory: 7431 loss: 0.0526 2022/06/20 06:46:17 - mmengine - INFO - Iter(train) [23400/200000] lr: 3.866e-04 eta: 1 day, 5:43:45 time: 0.436 data_time: 0.041 memory: 7430 loss: 0.0555 2022/06/20 06:47:16 - mmengine - INFO - Iter(train) [23500/200000] lr: 3.865e-04 eta: 1 day, 5:42:34 time: 0.478 data_time: 0.055 memory: 7429 loss: 0.0499 2022/06/20 06:48:18 - mmengine - INFO - Iter(train) [23600/200000] lr: 3.864e-04 eta: 1 day, 5:41:40 time: 0.474 data_time: 0.045 memory: 7436 loss: 0.0526 2022/06/20 06:49:17 - mmengine - INFO - Iter(train) [23700/200000] lr: 3.863e-04 eta: 1 day, 5:40:29 time: 0.853 data_time: 0.031 memory: 7432 loss: 0.0450 2022/06/20 06:50:07 - mmengine - INFO - Iter(train) [23800/200000] lr: 3.862e-04 eta: 1 day, 5:38:13 time: 0.462 data_time: 0.051 memory: 7432 loss: 0.0552 2022/06/20 06:51:08 - mmengine - INFO - Iter(train) [23900/200000] lr: 3.861e-04 eta: 1 day, 5:37:13 time: 0.465 data_time: 0.037 memory: 7434 loss: 0.0495 2022/06/20 06:52:06 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 06:52:06 - mmengine - INFO - Iter(train) [24000/200000] lr: 3.860e-04 eta: 1 day, 5:35:56 time: 0.759 data_time: 0.351 memory: 7431 loss: 0.0436 2022/06/20 06:53:02 - mmengine - INFO - Iter(train) [24100/200000] lr: 3.858e-04 eta: 1 day, 5:34:20 time: 0.958 data_time: 0.035 memory: 7433 loss: 0.0561 2022/06/20 06:53:52 - mmengine - INFO - Iter(train) [24200/200000] lr: 3.857e-04 eta: 1 day, 5:32:06 time: 0.474 data_time: 0.039 memory: 7431 loss: 0.0544 2022/06/20 06:54:49 - mmengine - INFO - Iter(train) [24300/200000] lr: 3.856e-04 eta: 1 day, 5:30:39 time: 0.467 data_time: 0.042 memory: 7433 loss: 0.0530 2022/06/20 06:55:43 - mmengine - INFO - Iter(train) [24400/200000] lr: 3.855e-04 eta: 1 day, 5:28:52 time: 0.424 data_time: 0.029 memory: 7433 loss: 0.0520 2022/06/20 06:56:37 - mmengine - INFO - Iter(train) [24500/200000] lr: 3.854e-04 eta: 1 day, 5:27:03 time: 0.447 data_time: 0.027 memory: 7432 loss: 0.0504 2022/06/20 06:57:35 - mmengine - INFO - Iter(train) [24600/200000] lr: 3.853e-04 eta: 1 day, 5:25:47 time: 0.972 data_time: 0.402 memory: 7432 loss: 0.0596 2022/06/20 06:58:22 - mmengine - INFO - Iter(train) [24700/200000] lr: 3.851e-04 eta: 1 day, 5:23:09 time: 0.449 data_time: 0.042 memory: 7430 loss: 0.0557 2022/06/20 06:59:18 - mmengine - INFO - Iter(train) [24800/200000] lr: 3.850e-04 eta: 1 day, 5:21:37 time: 0.463 data_time: 0.040 memory: 7430 loss: 0.0540 2022/06/20 07:00:11 - mmengine - INFO - Iter(train) [24900/200000] lr: 3.849e-04 eta: 1 day, 5:19:48 time: 0.464 data_time: 0.050 memory: 7433 loss: 0.0586 2022/06/20 07:01:06 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 07:01:06 - mmengine - INFO - Iter(train) [25000/200000] lr: 3.848e-04 eta: 1 day, 5:18:11 time: 0.456 data_time: 0.038 memory: 7433 loss: 0.0594 2022/06/20 07:02:01 - mmengine - INFO - Iter(train) [25100/200000] lr: 3.847e-04 eta: 1 day, 5:16:35 time: 0.449 data_time: 0.035 memory: 7431 loss: 0.0522 2022/06/20 07:02:52 - mmengine - INFO - Iter(train) [25200/200000] lr: 3.845e-04 eta: 1 day, 5:14:26 time: 0.693 data_time: 0.034 memory: 7433 loss: 0.0601 2022/06/20 07:03:44 - mmengine - INFO - Iter(train) [25300/200000] lr: 3.844e-04 eta: 1 day, 5:12:31 time: 0.457 data_time: 0.035 memory: 7432 loss: 0.0573 2022/06/20 07:04:45 - mmengine - INFO - Iter(train) [25400/200000] lr: 3.843e-04 eta: 1 day, 5:11:39 time: 0.459 data_time: 0.036 memory: 7431 loss: 0.0502 2022/06/20 07:05:40 - mmengine - INFO - Iter(train) [25500/200000] lr: 3.842e-04 eta: 1 day, 5:09:58 time: 0.451 data_time: 0.048 memory: 7431 loss: 0.0577 2022/06/20 07:06:37 - mmengine - INFO - Iter(train) [25600/200000] lr: 3.840e-04 eta: 1 day, 5:08:38 time: 0.489 data_time: 0.053 memory: 7432 loss: 0.0623 2022/06/20 07:07:35 - mmengine - INFO - Iter(train) [25700/200000] lr: 3.839e-04 eta: 1 day, 5:07:24 time: 0.455 data_time: 0.040 memory: 7431 loss: 0.0541 2022/06/20 07:08:33 - mmengine - INFO - Iter(train) [25800/200000] lr: 3.838e-04 eta: 1 day, 5:06:12 time: 0.595 data_time: 0.058 memory: 7430 loss: 0.0532 2022/06/20 07:09:34 - mmengine - INFO - Iter(train) [25900/200000] lr: 3.837e-04 eta: 1 day, 5:05:16 time: 0.914 data_time: 0.032 memory: 7431 loss: 0.0574 2022/06/20 07:10:27 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 07:10:27 - mmengine - INFO - Iter(train) [26000/200000] lr: 3.836e-04 eta: 1 day, 5:03:24 time: 0.465 data_time: 0.048 memory: 7432 loss: 0.0581 2022/06/20 07:11:26 - mmengine - INFO - Iter(train) [26100/200000] lr: 3.834e-04 eta: 1 day, 5:02:22 time: 0.450 data_time: 0.042 memory: 7431 loss: 0.0647 2022/06/20 07:12:20 - mmengine - INFO - Iter(train) [26200/200000] lr: 3.833e-04 eta: 1 day, 5:00:38 time: 0.668 data_time: 0.048 memory: 7431 loss: 0.0579 2022/06/20 07:13:13 - mmengine - INFO - Iter(train) [26300/200000] lr: 3.832e-04 eta: 1 day, 4:58:50 time: 0.427 data_time: 0.030 memory: 7431 loss: 0.0528 2022/06/20 07:14:11 - mmengine - INFO - Iter(train) [26400/200000] lr: 3.830e-04 eta: 1 day, 4:57:39 time: 0.466 data_time: 0.043 memory: 7430 loss: 0.0530 2022/06/20 07:15:08 - mmengine - INFO - Iter(train) [26500/200000] lr: 3.829e-04 eta: 1 day, 4:56:14 time: 0.456 data_time: 0.034 memory: 7430 loss: 0.0572 2022/06/20 07:16:05 - mmengine - INFO - Iter(train) [26600/200000] lr: 3.828e-04 eta: 1 day, 4:54:57 time: 0.488 data_time: 0.053 memory: 7430 loss: 0.0569 2022/06/20 07:16:58 - mmengine - INFO - Iter(train) [26700/200000] lr: 3.827e-04 eta: 1 day, 4:53:11 time: 0.453 data_time: 0.041 memory: 7430 loss: 0.0594 2022/06/20 07:17:56 - mmengine - INFO - Iter(train) [26800/200000] lr: 3.825e-04 eta: 1 day, 4:51:56 time: 0.456 data_time: 0.042 memory: 7431 loss: 0.0566 2022/06/20 07:18:55 - mmengine - INFO - Iter(train) [26900/200000] lr: 3.824e-04 eta: 1 day, 4:50:49 time: 0.451 data_time: 0.042 memory: 7431 loss: 0.0503 2022/06/20 07:19:49 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 07:19:49 - mmengine - INFO - Iter(train) [27000/200000] lr: 3.823e-04 eta: 1 day, 4:49:15 time: 0.490 data_time: 0.060 memory: 7431 loss: 0.0529 2022/06/20 07:20:46 - mmengine - INFO - Iter(train) [27100/200000] lr: 3.822e-04 eta: 1 day, 4:47:53 time: 0.784 data_time: 0.355 memory: 7433 loss: 0.0557 2022/06/20 07:21:37 - mmengine - INFO - Iter(train) [27200/200000] lr: 3.820e-04 eta: 1 day, 4:45:58 time: 0.429 data_time: 0.035 memory: 7432 loss: 0.0502 2022/06/20 07:22:35 - mmengine - INFO - Iter(train) [27300/200000] lr: 3.819e-04 eta: 1 day, 4:44:47 time: 0.450 data_time: 0.036 memory: 7432 loss: 0.0574 2022/06/20 07:23:30 - mmengine - INFO - Iter(train) [27400/200000] lr: 3.818e-04 eta: 1 day, 4:43:14 time: 0.504 data_time: 0.051 memory: 7430 loss: 0.0507 2022/06/20 07:24:28 - mmengine - INFO - Iter(train) [27500/200000] lr: 3.816e-04 eta: 1 day, 4:42:04 time: 0.425 data_time: 0.038 memory: 7434 loss: 0.0575 2022/06/20 07:25:29 - mmengine - INFO - Iter(train) [27600/200000] lr: 3.815e-04 eta: 1 day, 4:41:07 time: 0.481 data_time: 0.059 memory: 7433 loss: 0.0546 2022/06/20 07:26:31 - mmengine - INFO - Iter(train) [27700/200000] lr: 3.814e-04 eta: 1 day, 4:40:23 time: 0.466 data_time: 0.057 memory: 7430 loss: 0.0531 2022/06/20 07:27:32 - mmengine - INFO - Iter(train) [27800/200000] lr: 3.812e-04 eta: 1 day, 4:39:30 time: 0.475 data_time: 0.045 memory: 7431 loss: 0.0486 2022/06/20 07:28:27 - mmengine - INFO - Iter(train) [27900/200000] lr: 3.811e-04 eta: 1 day, 4:37:58 time: 0.453 data_time: 0.046 memory: 7430 loss: 0.0520 2022/06/20 07:29:40 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 07:29:40 - mmengine - INFO - Iter(train) [28000/200000] lr: 3.810e-04 eta: 1 day, 4:38:15 time: 0.460 data_time: 0.050 memory: 7431 loss: 0.0435 2022/06/20 07:30:37 - mmengine - INFO - Iter(train) [28100/200000] lr: 3.808e-04 eta: 1 day, 4:37:01 time: 0.478 data_time: 0.053 memory: 7432 loss: 0.0562 2022/06/20 07:31:35 - mmengine - INFO - Iter(train) [28200/200000] lr: 3.807e-04 eta: 1 day, 4:35:49 time: 0.548 data_time: 0.069 memory: 7431 loss: 0.0568 2022/06/20 07:32:27 - mmengine - INFO - Iter(train) [28300/200000] lr: 3.806e-04 eta: 1 day, 4:34:03 time: 0.447 data_time: 0.045 memory: 7431 loss: 0.0596 2022/06/20 07:33:22 - mmengine - INFO - Iter(train) [28400/200000] lr: 3.804e-04 eta: 1 day, 4:32:28 time: 0.451 data_time: 0.045 memory: 7431 loss: 0.0509 2022/06/20 07:34:18 - mmengine - INFO - Iter(train) [28500/200000] lr: 3.803e-04 eta: 1 day, 4:31:08 time: 0.482 data_time: 0.055 memory: 7431 loss: 0.0634 2022/06/20 07:35:15 - mmengine - INFO - Iter(train) [28600/200000] lr: 3.802e-04 eta: 1 day, 4:29:51 time: 0.477 data_time: 0.039 memory: 7431 loss: 0.0544 2022/06/20 07:36:12 - mmengine - INFO - Iter(train) [28700/200000] lr: 3.800e-04 eta: 1 day, 4:28:33 time: 0.473 data_time: 0.061 memory: 7431 loss: 0.0503 2022/06/20 07:37:08 - mmengine - INFO - Iter(train) [28800/200000] lr: 3.799e-04 eta: 1 day, 4:27:09 time: 0.463 data_time: 0.056 memory: 7432 loss: 0.0627 2022/06/20 07:37:58 - mmengine - INFO - Iter(train) [28900/200000] lr: 3.797e-04 eta: 1 day, 4:25:12 time: 0.476 data_time: 0.047 memory: 7432 loss: 0.0524 2022/06/20 07:39:00 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 07:39:00 - mmengine - INFO - Iter(train) [29000/200000] lr: 3.796e-04 eta: 1 day, 4:24:24 time: 0.909 data_time: 0.045 memory: 7432 loss: 0.0576 2022/06/20 07:39:49 - mmengine - INFO - Iter(train) [29100/200000] lr: 3.795e-04 eta: 1 day, 4:22:20 time: 0.449 data_time: 0.040 memory: 7430 loss: 0.0536 2022/06/20 07:40:54 - mmengine - INFO - Iter(train) [29200/200000] lr: 3.793e-04 eta: 1 day, 4:21:54 time: 0.428 data_time: 0.033 memory: 7429 loss: 0.0532 2022/06/20 07:41:50 - mmengine - INFO - Iter(train) [29300/200000] lr: 3.792e-04 eta: 1 day, 4:20:29 time: 0.752 data_time: 0.053 memory: 7431 loss: 0.0514 2022/06/20 07:42:42 - mmengine - INFO - Iter(train) [29400/200000] lr: 3.791e-04 eta: 1 day, 4:18:44 time: 0.443 data_time: 0.037 memory: 7430 loss: 0.0533 2022/06/20 07:43:40 - mmengine - INFO - Iter(train) [29500/200000] lr: 3.789e-04 eta: 1 day, 4:17:35 time: 0.455 data_time: 0.032 memory: 7431 loss: 0.0543 2022/06/20 07:44:39 - mmengine - INFO - Iter(train) [29600/200000] lr: 3.788e-04 eta: 1 day, 4:16:33 time: 0.454 data_time: 0.041 memory: 7433 loss: 0.0479 2022/06/20 07:45:32 - mmengine - INFO - Iter(train) [29700/200000] lr: 3.786e-04 eta: 1 day, 4:14:56 time: 0.437 data_time: 0.033 memory: 7431 loss: 0.0594 2022/06/20 07:46:30 - mmengine - INFO - Iter(train) [29800/200000] lr: 3.785e-04 eta: 1 day, 4:13:45 time: 0.442 data_time: 0.034 memory: 7430 loss: 0.0577 2022/06/20 07:47:30 - mmengine - INFO - Iter(train) [29900/200000] lr: 3.783e-04 eta: 1 day, 4:12:46 time: 0.568 data_time: 0.143 memory: 7430 loss: 0.0667 2022/06/20 07:48:24 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 07:48:24 - mmengine - INFO - Iter(train) [30000/200000] lr: 3.782e-04 eta: 1 day, 4:11:15 time: 0.774 data_time: 0.032 memory: 7430 loss: 0.0561 2022/06/20 07:48:24 - mmengine - INFO - Saving checkpoint at 30000 iterations 2022/06/20 07:49:24 - mmengine - INFO - Iter(val) [100/250] eta: 0:01:17 time: 0.514 data_time: 0.040 memory: 2343 2022/06/20 07:50:16 - mmengine - INFO - Iter(val) [200/250] eta: 0:00:24 time: 0.482 data_time: 0.026 memory: 2001 2022/06/20 07:50:47 - mmengine - INFO - Iter(val) [250/250] SAD: 53.1978 MattingMSE: 0.0161 GradientError: 26.9327 ConnectivityError: 53.5401 2022/06/20 07:51:42 - mmengine - INFO - Iter(train) [30100/200000] lr: 3.781e-04 eta: 1 day, 4:09:50 time: 0.450 data_time: 0.043 memory: 7430 loss: 0.0526 2022/06/20 07:52:40 - mmengine - INFO - Iter(train) [30200/200000] lr: 3.779e-04 eta: 1 day, 4:08:45 time: 0.445 data_time: 0.041 memory: 7432 loss: 0.0522 2022/06/20 07:53:38 - mmengine - INFO - Iter(train) [30300/200000] lr: 3.778e-04 eta: 1 day, 4:07:32 time: 0.477 data_time: 0.047 memory: 7430 loss: 0.0448 2022/06/20 07:54:34 - mmengine - INFO - Iter(train) [30400/200000] lr: 3.776e-04 eta: 1 day, 4:06:10 time: 0.458 data_time: 0.036 memory: 7432 loss: 0.0469 2022/06/20 07:55:31 - mmengine - INFO - Iter(train) [30500/200000] lr: 3.775e-04 eta: 1 day, 4:04:56 time: 0.476 data_time: 0.050 memory: 7431 loss: 0.0474 2022/06/20 07:56:26 - mmengine - INFO - Iter(train) [30600/200000] lr: 3.773e-04 eta: 1 day, 4:03:32 time: 0.452 data_time: 0.041 memory: 7430 loss: 0.0545 2022/06/20 07:57:24 - mmengine - INFO - Iter(train) [30700/200000] lr: 3.772e-04 eta: 1 day, 4:02:22 time: 0.629 data_time: 0.199 memory: 7430 loss: 0.0554 2022/06/20 07:58:21 - mmengine - INFO - Iter(train) [30800/200000] lr: 3.770e-04 eta: 1 day, 4:01:09 time: 1.242 data_time: 0.052 memory: 7431 loss: 0.0452 2022/06/20 07:59:11 - mmengine - INFO - Iter(train) [30900/200000] lr: 3.769e-04 eta: 1 day, 3:59:15 time: 0.476 data_time: 0.057 memory: 7431 loss: 0.0455 2022/06/20 08:00:07 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 08:00:07 - mmengine - INFO - Iter(train) [31000/200000] lr: 3.768e-04 eta: 1 day, 3:57:58 time: 0.447 data_time: 0.039 memory: 7430 loss: 0.0488 2022/06/20 08:01:06 - mmengine - INFO - Iter(train) [31100/200000] lr: 3.766e-04 eta: 1 day, 3:56:55 time: 0.534 data_time: 0.038 memory: 7433 loss: 0.0485 2022/06/20 08:02:00 - mmengine - INFO - Iter(train) [31200/200000] lr: 3.765e-04 eta: 1 day, 3:55:24 time: 0.447 data_time: 0.034 memory: 7431 loss: 0.0513 2022/06/20 08:02:58 - mmengine - INFO - Iter(train) [31300/200000] lr: 3.763e-04 eta: 1 day, 3:54:20 time: 0.491 data_time: 0.047 memory: 7433 loss: 0.0554 2022/06/20 08:04:02 - mmengine - INFO - Iter(train) [31400/200000] lr: 3.762e-04 eta: 1 day, 3:53:41 time: 0.443 data_time: 0.038 memory: 7432 loss: 0.0469 2022/06/20 08:04:54 - mmengine - INFO - Iter(train) [31500/200000] lr: 3.760e-04 eta: 1 day, 3:52:04 time: 0.462 data_time: 0.038 memory: 7431 loss: 0.0552 2022/06/20 08:05:57 - mmengine - INFO - Iter(train) [31600/200000] lr: 3.759e-04 eta: 1 day, 3:51:19 time: 1.105 data_time: 0.041 memory: 7432 loss: 0.0478 2022/06/20 08:06:46 - mmengine - INFO - Iter(train) [31700/200000] lr: 3.757e-04 eta: 1 day, 3:49:26 time: 0.463 data_time: 0.042 memory: 7432 loss: 0.0534 2022/06/20 08:07:49 - mmengine - INFO - Iter(train) [31800/200000] lr: 3.756e-04 eta: 1 day, 3:48:43 time: 0.445 data_time: 0.023 memory: 7430 loss: 0.0545 2022/06/20 08:08:45 - mmengine - INFO - Iter(train) [31900/200000] lr: 3.754e-04 eta: 1 day, 3:47:25 time: 0.449 data_time: 0.046 memory: 7432 loss: 0.0480 2022/06/20 08:09:44 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 08:09:44 - mmengine - INFO - Iter(train) [32000/200000] lr: 3.753e-04 eta: 1 day, 3:46:24 time: 0.435 data_time: 0.038 memory: 7431 loss: 0.0520 2022/06/20 08:10:41 - mmengine - INFO - Iter(train) [32100/200000] lr: 3.751e-04 eta: 1 day, 3:45:08 time: 0.480 data_time: 0.044 memory: 7432 loss: 0.0497 2022/06/20 08:11:36 - mmengine - INFO - Iter(train) [32200/200000] lr: 3.750e-04 eta: 1 day, 3:43:46 time: 1.175 data_time: 0.031 memory: 7430 loss: 0.0513 2022/06/20 08:12:26 - mmengine - INFO - Iter(train) [32300/200000] lr: 3.748e-04 eta: 1 day, 3:41:59 time: 0.471 data_time: 0.055 memory: 7430 loss: 0.0528 2022/06/20 08:13:22 - mmengine - INFO - Iter(train) [32400/200000] lr: 3.747e-04 eta: 1 day, 3:40:42 time: 0.452 data_time: 0.041 memory: 7429 loss: 0.0488 2022/06/20 08:14:17 - mmengine - INFO - Iter(train) [32500/200000] lr: 3.745e-04 eta: 1 day, 3:39:20 time: 0.609 data_time: 0.064 memory: 7431 loss: 0.0488 2022/06/20 08:15:08 - mmengine - INFO - Iter(train) [32600/200000] lr: 3.743e-04 eta: 1 day, 3:37:37 time: 0.614 data_time: 0.159 memory: 7430 loss: 0.0508 2022/06/20 08:16:13 - mmengine - INFO - Iter(train) [32700/200000] lr: 3.742e-04 eta: 1 day, 3:37:05 time: 1.524 data_time: 1.133 memory: 7431 loss: 0.0550 2022/06/20 08:17:07 - mmengine - INFO - Iter(train) [32800/200000] lr: 3.740e-04 eta: 1 day, 3:35:38 time: 0.445 data_time: 0.039 memory: 7431 loss: 0.0529 2022/06/20 08:18:06 - mmengine - INFO - Iter(train) [32900/200000] lr: 3.739e-04 eta: 1 day, 3:34:33 time: 0.979 data_time: 0.072 memory: 7431 loss: 0.0501 2022/06/20 08:18:59 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 08:18:59 - mmengine - INFO - Iter(train) [33000/200000] lr: 3.737e-04 eta: 1 day, 3:33:01 time: 0.543 data_time: 0.078 memory: 7430 loss: 0.0474 2022/06/20 08:19:54 - mmengine - INFO - Iter(train) [33100/200000] lr: 3.736e-04 eta: 1 day, 3:31:41 time: 1.287 data_time: 0.036 memory: 7430 loss: 0.0530 2022/06/20 08:20:47 - mmengine - INFO - Iter(train) [33200/200000] lr: 3.734e-04 eta: 1 day, 3:30:10 time: 0.469 data_time: 0.048 memory: 7430 loss: 0.0545 2022/06/20 08:21:50 - mmengine - INFO - Iter(train) [33300/200000] lr: 3.733e-04 eta: 1 day, 3:29:31 time: 0.482 data_time: 0.040 memory: 7432 loss: 0.0513 2022/06/20 08:22:48 - mmengine - INFO - Iter(train) [33400/200000] lr: 3.731e-04 eta: 1 day, 3:28:22 time: 0.462 data_time: 0.043 memory: 7430 loss: 0.0495 2022/06/20 08:23:46 - mmengine - INFO - Iter(train) [33500/200000] lr: 3.729e-04 eta: 1 day, 3:27:19 time: 0.505 data_time: 0.047 memory: 7431 loss: 0.0514 2022/06/20 08:24:48 - mmengine - INFO - Iter(train) [33600/200000] lr: 3.728e-04 eta: 1 day, 3:26:29 time: 0.482 data_time: 0.038 memory: 7431 loss: 0.0532 2022/06/20 08:25:40 - mmengine - INFO - Iter(train) [33700/200000] lr: 3.726e-04 eta: 1 day, 3:24:53 time: 0.411 data_time: 0.030 memory: 7431 loss: 0.0519 2022/06/20 08:26:42 - mmengine - INFO - Iter(train) [33800/200000] lr: 3.725e-04 eta: 1 day, 3:24:06 time: 0.483 data_time: 0.045 memory: 7432 loss: 0.0508 2022/06/20 08:27:35 - mmengine - INFO - Iter(train) [33900/200000] lr: 3.723e-04 eta: 1 day, 3:22:36 time: 0.461 data_time: 0.044 memory: 7431 loss: 0.0420 2022/06/20 08:28:38 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 08:28:38 - mmengine - INFO - Iter(train) [34000/200000] lr: 3.722e-04 eta: 1 day, 3:21:56 time: 0.642 data_time: 0.066 memory: 7431 loss: 0.0531 2022/06/20 08:29:33 - mmengine - INFO - Iter(train) [34100/200000] lr: 3.720e-04 eta: 1 day, 3:20:34 time: 0.496 data_time: 0.092 memory: 7432 loss: 0.0466 2022/06/20 08:30:31 - mmengine - INFO - Iter(train) [34200/200000] lr: 3.718e-04 eta: 1 day, 3:19:27 time: 0.882 data_time: 0.045 memory: 7432 loss: 0.0510 2022/06/20 08:31:19 - mmengine - INFO - Iter(train) [34300/200000] lr: 3.717e-04 eta: 1 day, 3:17:33 time: 0.447 data_time: 0.042 memory: 7431 loss: 0.0477 2022/06/20 08:32:13 - mmengine - INFO - Iter(train) [34400/200000] lr: 3.715e-04 eta: 1 day, 3:16:10 time: 0.454 data_time: 0.033 memory: 7433 loss: 0.0465 2022/06/20 08:33:06 - mmengine - INFO - Iter(train) [34500/200000] lr: 3.713e-04 eta: 1 day, 3:14:43 time: 0.459 data_time: 0.040 memory: 7430 loss: 0.0543 2022/06/20 08:34:08 - mmengine - INFO - Iter(train) [34600/200000] lr: 3.712e-04 eta: 1 day, 3:13:54 time: 0.965 data_time: 0.535 memory: 7432 loss: 0.0508 2022/06/20 08:35:00 - mmengine - INFO - Iter(train) [34700/200000] lr: 3.710e-04 eta: 1 day, 3:12:22 time: 0.485 data_time: 0.041 memory: 7431 loss: 0.0553 2022/06/20 08:36:01 - mmengine - INFO - Iter(train) [34800/200000] lr: 3.709e-04 eta: 1 day, 3:11:31 time: 0.441 data_time: 0.031 memory: 7431 loss: 0.0477 2022/06/20 08:36:55 - mmengine - INFO - Iter(train) [34900/200000] lr: 3.707e-04 eta: 1 day, 3:10:04 time: 0.503 data_time: 0.071 memory: 7430 loss: 0.0554 2022/06/20 08:37:47 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 08:37:47 - mmengine - INFO - Iter(train) [35000/200000] lr: 3.705e-04 eta: 1 day, 3:08:34 time: 0.458 data_time: 0.039 memory: 7431 loss: 0.0528 2022/06/20 08:38:34 - mmengine - INFO - Iter(train) [35100/200000] lr: 3.704e-04 eta: 1 day, 3:06:36 time: 0.449 data_time: 0.050 memory: 7433 loss: 0.0523 2022/06/20 08:39:29 - mmengine - INFO - Iter(train) [35200/200000] lr: 3.702e-04 eta: 1 day, 3:05:17 time: 1.083 data_time: 0.050 memory: 7431 loss: 0.0471 2022/06/20 08:40:19 - mmengine - INFO - Iter(train) [35300/200000] lr: 3.700e-04 eta: 1 day, 3:03:36 time: 0.463 data_time: 0.044 memory: 7430 loss: 0.0523 2022/06/20 08:41:25 - mmengine - INFO - Iter(train) [35400/200000] lr: 3.699e-04 eta: 1 day, 3:03:08 time: 0.500 data_time: 0.054 memory: 7433 loss: 0.0499 2022/06/20 08:42:24 - mmengine - INFO - Iter(train) [35500/200000] lr: 3.697e-04 eta: 1 day, 3:02:07 time: 0.994 data_time: 0.067 memory: 7431 loss: 0.0515 2022/06/20 08:43:15 - mmengine - INFO - Iter(train) [35600/200000] lr: 3.695e-04 eta: 1 day, 3:00:29 time: 0.457 data_time: 0.042 memory: 7430 loss: 0.0535 2022/06/20 08:44:15 - mmengine - INFO - Iter(train) [35700/200000] lr: 3.694e-04 eta: 1 day, 2:59:33 time: 0.455 data_time: 0.036 memory: 7431 loss: 0.0555 2022/06/20 08:45:13 - mmengine - INFO - Iter(train) [35800/200000] lr: 3.692e-04 eta: 1 day, 2:58:28 time: 0.471 data_time: 0.038 memory: 7430 loss: 0.0531 2022/06/20 08:46:10 - mmengine - INFO - Iter(train) [35900/200000] lr: 3.690e-04 eta: 1 day, 2:57:21 time: 0.458 data_time: 0.041 memory: 7429 loss: 0.0502 2022/06/20 08:47:12 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 08:47:12 - mmengine - INFO - Iter(train) [36000/200000] lr: 3.689e-04 eta: 1 day, 2:56:35 time: 0.484 data_time: 0.043 memory: 7431 loss: 0.0448 2022/06/20 08:48:11 - mmengine - INFO - Iter(train) [36100/200000] lr: 3.687e-04 eta: 1 day, 2:55:36 time: 0.423 data_time: 0.033 memory: 7431 loss: 0.0468 2022/06/20 08:49:07 - mmengine - INFO - Iter(train) [36200/200000] lr: 3.685e-04 eta: 1 day, 2:54:23 time: 0.470 data_time: 0.042 memory: 7430 loss: 0.0554 2022/06/20 08:50:10 - mmengine - INFO - Iter(train) [36300/200000] lr: 3.684e-04 eta: 1 day, 2:53:38 time: 0.482 data_time: 0.039 memory: 7430 loss: 0.0479 2022/06/20 08:51:08 - mmengine - INFO - Iter(train) [36400/200000] lr: 3.682e-04 eta: 1 day, 2:52:37 time: 0.683 data_time: 0.124 memory: 7431 loss: 0.0463 2022/06/20 08:51:59 - mmengine - INFO - Iter(train) [36500/200000] lr: 3.680e-04 eta: 1 day, 2:51:00 time: 0.457 data_time: 0.049 memory: 7429 loss: 0.0539 2022/06/20 08:53:02 - mmengine - INFO - Iter(train) [36600/200000] lr: 3.678e-04 eta: 1 day, 2:50:17 time: 0.445 data_time: 0.038 memory: 7430 loss: 0.0420 2022/06/20 08:53:59 - mmengine - INFO - Iter(train) [36700/200000] lr: 3.677e-04 eta: 1 day, 2:49:07 time: 0.488 data_time: 0.048 memory: 7431 loss: 0.0536 2022/06/20 08:54:53 - mmengine - INFO - Iter(train) [36800/200000] lr: 3.675e-04 eta: 1 day, 2:47:45 time: 0.577 data_time: 0.041 memory: 7431 loss: 0.0504 2022/06/20 08:55:52 - mmengine - INFO - Iter(train) [36900/200000] lr: 3.673e-04 eta: 1 day, 2:46:46 time: 0.474 data_time: 0.053 memory: 7432 loss: 0.0465 2022/06/20 08:56:47 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 08:56:47 - mmengine - INFO - Iter(train) [37000/200000] lr: 3.672e-04 eta: 1 day, 2:45:30 time: 0.480 data_time: 0.044 memory: 7431 loss: 0.0517 2022/06/20 08:57:39 - mmengine - INFO - Iter(train) [37100/200000] lr: 3.670e-04 eta: 1 day, 2:43:59 time: 0.405 data_time: 0.028 memory: 7431 loss: 0.0530 2022/06/20 08:58:36 - mmengine - INFO - Iter(train) [37200/200000] lr: 3.668e-04 eta: 1 day, 2:42:49 time: 0.719 data_time: 0.034 memory: 7430 loss: 0.0462 2022/06/20 08:59:32 - mmengine - INFO - Iter(train) [37300/200000] lr: 3.666e-04 eta: 1 day, 2:41:37 time: 0.470 data_time: 0.044 memory: 7430 loss: 0.0474 2022/06/20 09:00:30 - mmengine - INFO - Iter(train) [37400/200000] lr: 3.665e-04 eta: 1 day, 2:40:34 time: 0.456 data_time: 0.049 memory: 7430 loss: 0.0583 2022/06/20 09:01:30 - mmengine - INFO - Iter(train) [37500/200000] lr: 3.663e-04 eta: 1 day, 2:39:40 time: 0.529 data_time: 0.040 memory: 7434 loss: 0.0504 2022/06/20 09:02:30 - mmengine - INFO - Iter(train) [37600/200000] lr: 3.661e-04 eta: 1 day, 2:38:44 time: 0.495 data_time: 0.052 memory: 7430 loss: 0.0472 2022/06/20 09:03:31 - mmengine - INFO - Iter(train) [37700/200000] lr: 3.659e-04 eta: 1 day, 2:37:53 time: 1.108 data_time: 0.037 memory: 7431 loss: 0.0502 2022/06/20 09:04:25 - mmengine - INFO - Iter(train) [37800/200000] lr: 3.658e-04 eta: 1 day, 2:36:34 time: 0.478 data_time: 0.050 memory: 7433 loss: 0.0508 2022/06/20 09:05:22 - mmengine - INFO - Iter(train) [37900/200000] lr: 3.656e-04 eta: 1 day, 2:35:25 time: 0.469 data_time: 0.032 memory: 7432 loss: 0.0506 2022/06/20 09:06:20 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 09:06:20 - mmengine - INFO - Iter(train) [38000/200000] lr: 3.654e-04 eta: 1 day, 2:34:20 time: 0.485 data_time: 0.038 memory: 7431 loss: 0.0451 2022/06/20 09:07:17 - mmengine - INFO - Iter(train) [38100/200000] lr: 3.652e-04 eta: 1 day, 2:33:13 time: 0.438 data_time: 0.033 memory: 7431 loss: 0.0479 2022/06/20 09:08:18 - mmengine - INFO - Iter(train) [38200/200000] lr: 3.651e-04 eta: 1 day, 2:32:23 time: 0.461 data_time: 0.045 memory: 7431 loss: 0.0503 2022/06/20 09:09:14 - mmengine - INFO - Iter(train) [38300/200000] lr: 3.649e-04 eta: 1 day, 2:31:11 time: 0.458 data_time: 0.041 memory: 7434 loss: 0.0533 2022/06/20 09:10:19 - mmengine - INFO - Iter(train) [38400/200000] lr: 3.647e-04 eta: 1 day, 2:30:34 time: 0.480 data_time: 0.037 memory: 7431 loss: 0.0502 2022/06/20 09:11:17 - mmengine - INFO - Iter(train) [38500/200000] lr: 3.645e-04 eta: 1 day, 2:29:32 time: 0.452 data_time: 0.038 memory: 7430 loss: 0.0486 2022/06/20 09:12:20 - mmengine - INFO - Iter(train) [38600/200000] lr: 3.644e-04 eta: 1 day, 2:28:48 time: 0.483 data_time: 0.051 memory: 7435 loss: 0.0532 2022/06/20 09:13:19 - mmengine - INFO - Iter(train) [38700/200000] lr: 3.642e-04 eta: 1 day, 2:27:52 time: 0.899 data_time: 0.314 memory: 7430 loss: 0.0515 2022/06/20 09:14:16 - mmengine - INFO - Iter(train) [38800/200000] lr: 3.640e-04 eta: 1 day, 2:26:44 time: 0.439 data_time: 0.043 memory: 7429 loss: 0.0491 2022/06/20 09:15:14 - mmengine - INFO - Iter(train) [38900/200000] lr: 3.638e-04 eta: 1 day, 2:25:38 time: 0.454 data_time: 0.047 memory: 7430 loss: 0.0547 2022/06/20 09:16:11 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 09:16:11 - mmengine - INFO - Iter(train) [39000/200000] lr: 3.636e-04 eta: 1 day, 2:24:32 time: 0.454 data_time: 0.042 memory: 7431 loss: 0.0417 2022/06/20 09:17:00 - mmengine - INFO - Iter(train) [39100/200000] lr: 3.635e-04 eta: 1 day, 2:22:53 time: 0.552 data_time: 0.049 memory: 7431 loss: 0.0478 2022/06/20 09:17:52 - mmengine - INFO - Iter(train) [39200/200000] lr: 3.633e-04 eta: 1 day, 2:21:22 time: 0.445 data_time: 0.044 memory: 7430 loss: 0.0542 2022/06/20 09:18:44 - mmengine - INFO - Iter(train) [39300/200000] lr: 3.631e-04 eta: 1 day, 2:19:57 time: 0.442 data_time: 0.039 memory: 7431 loss: 0.0463 2022/06/20 09:19:44 - mmengine - INFO - Iter(train) [39400/200000] lr: 3.629e-04 eta: 1 day, 2:19:00 time: 0.446 data_time: 0.035 memory: 7433 loss: 0.0505 2022/06/20 09:20:39 - mmengine - INFO - Iter(train) [39500/200000] lr: 3.627e-04 eta: 1 day, 2:17:47 time: 0.433 data_time: 0.035 memory: 7430 loss: 0.0537 2022/06/20 09:21:38 - mmengine - INFO - Iter(train) [39600/200000] lr: 3.625e-04 eta: 1 day, 2:16:45 time: 0.466 data_time: 0.042 memory: 7432 loss: 0.0543 2022/06/20 09:22:33 - mmengine - INFO - Iter(train) [39700/200000] lr: 3.624e-04 eta: 1 day, 2:15:31 time: 0.447 data_time: 0.034 memory: 7431 loss: 0.0506 2022/06/20 09:23:27 - mmengine - INFO - Iter(train) [39800/200000] lr: 3.622e-04 eta: 1 day, 2:14:13 time: 1.072 data_time: 0.047 memory: 7431 loss: 0.0494 2022/06/20 09:24:23 - mmengine - INFO - Iter(train) [39900/200000] lr: 3.620e-04 eta: 1 day, 2:13:01 time: 0.483 data_time: 0.034 memory: 7431 loss: 0.0496 2022/06/20 09:25:21 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 09:25:21 - mmengine - INFO - Iter(train) [40000/200000] lr: 3.618e-04 eta: 1 day, 2:11:59 time: 0.450 data_time: 0.036 memory: 7431 loss: 0.0445 2022/06/20 09:25:21 - mmengine - INFO - Saving checkpoint at 40000 iterations 2022/06/20 09:26:24 - mmengine - INFO - Iter(val) [100/250] eta: 0:01:16 time: 0.511 data_time: 0.025 memory: 2344 2022/06/20 09:27:18 - mmengine - INFO - Iter(val) [200/250] eta: 0:00:51 time: 1.021 data_time: 0.554 memory: 1999 2022/06/20 09:27:49 - mmengine - INFO - Iter(val) [250/250] SAD: 56.2347 MattingMSE: 0.0180 GradientError: 32.3907 ConnectivityError: 57.4063 2022/06/20 09:28:40 - mmengine - INFO - Iter(train) [40100/200000] lr: 3.616e-04 eta: 1 day, 2:10:28 time: 0.468 data_time: 0.061 memory: 7430 loss: 0.0459 2022/06/20 09:29:38 - mmengine - INFO - Iter(train) [40200/200000] lr: 3.614e-04 eta: 1 day, 2:09:27 time: 0.852 data_time: 0.381 memory: 7431 loss: 0.0479 2022/06/20 09:30:36 - mmengine - INFO - Iter(train) [40300/200000] lr: 3.612e-04 eta: 1 day, 2:08:25 time: 0.431 data_time: 0.027 memory: 7432 loss: 0.0550 2022/06/20 09:31:33 - mmengine - INFO - Iter(train) [40400/200000] lr: 3.611e-04 eta: 1 day, 2:07:19 time: 0.481 data_time: 0.072 memory: 7433 loss: 0.0515 2022/06/20 09:32:32 - mmengine - INFO - Iter(train) [40500/200000] lr: 3.609e-04 eta: 1 day, 2:06:17 time: 0.605 data_time: 0.045 memory: 7432 loss: 0.0464 2022/06/20 09:33:25 - mmengine - INFO - Iter(train) [40600/200000] lr: 3.607e-04 eta: 1 day, 2:04:55 time: 0.451 data_time: 0.037 memory: 7435 loss: 0.0490 2022/06/20 09:34:31 - mmengine - INFO - Iter(train) [40700/200000] lr: 3.605e-04 eta: 1 day, 2:04:25 time: 0.565 data_time: 0.047 memory: 7432 loss: 0.0466 2022/06/20 09:35:31 - mmengine - INFO - Iter(train) [40800/200000] lr: 3.603e-04 eta: 1 day, 2:03:31 time: 0.439 data_time: 0.033 memory: 7431 loss: 0.0478 2022/06/20 09:36:27 - mmengine - INFO - Iter(train) [40900/200000] lr: 3.601e-04 eta: 1 day, 2:02:21 time: 0.483 data_time: 0.045 memory: 7432 loss: 0.0480 2022/06/20 09:37:26 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 09:37:26 - mmengine - INFO - Iter(train) [41000/200000] lr: 3.599e-04 eta: 1 day, 2:01:21 time: 0.488 data_time: 0.059 memory: 7435 loss: 0.0480 2022/06/20 09:38:16 - mmengine - INFO - Iter(train) [41100/200000] lr: 3.597e-04 eta: 1 day, 1:59:49 time: 0.445 data_time: 0.039 memory: 7431 loss: 0.0667 2022/06/20 09:39:13 - mmengine - INFO - Iter(train) [41200/200000] lr: 3.596e-04 eta: 1 day, 1:58:42 time: 0.468 data_time: 0.052 memory: 7432 loss: 0.0513 2022/06/20 09:40:17 - mmengine - INFO - Iter(train) [41300/200000] lr: 3.594e-04 eta: 1 day, 1:58:02 time: 0.472 data_time: 0.041 memory: 7431 loss: 0.0503 2022/06/20 09:41:16 - mmengine - INFO - Iter(train) [41400/200000] lr: 3.592e-04 eta: 1 day, 1:57:05 time: 0.476 data_time: 0.053 memory: 7432 loss: 0.0463 2022/06/20 09:42:15 - mmengine - INFO - Iter(train) [41500/200000] lr: 3.590e-04 eta: 1 day, 1:56:05 time: 1.136 data_time: 0.033 memory: 7430 loss: 0.0589 2022/06/20 09:43:06 - mmengine - INFO - Iter(train) [41600/200000] lr: 3.588e-04 eta: 1 day, 1:54:35 time: 0.443 data_time: 0.036 memory: 7431 loss: 0.0525 2022/06/20 09:44:10 - mmengine - INFO - Iter(train) [41700/200000] lr: 3.586e-04 eta: 1 day, 1:53:57 time: 0.482 data_time: 0.064 memory: 7433 loss: 0.0508 2022/06/20 09:45:09 - mmengine - INFO - Iter(train) [41800/200000] lr: 3.584e-04 eta: 1 day, 1:52:59 time: 0.645 data_time: 0.196 memory: 7434 loss: 0.0531 2022/06/20 09:46:04 - mmengine - INFO - Iter(train) [41900/200000] lr: 3.582e-04 eta: 1 day, 1:51:43 time: 0.464 data_time: 0.044 memory: 7431 loss: 0.0509 2022/06/20 09:47:07 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 09:47:07 - mmengine - INFO - Iter(train) [42000/200000] lr: 3.580e-04 eta: 1 day, 1:51:01 time: 0.474 data_time: 0.050 memory: 7434 loss: 0.0453 2022/06/20 09:48:07 - mmengine - INFO - Iter(train) [42100/200000] lr: 3.578e-04 eta: 1 day, 1:50:06 time: 1.513 data_time: 0.868 memory: 7433 loss: 0.0464 2022/06/20 09:49:01 - mmengine - INFO - Iter(train) [42200/200000] lr: 3.576e-04 eta: 1 day, 1:48:48 time: 0.455 data_time: 0.042 memory: 7431 loss: 0.0490 2022/06/20 09:49:59 - mmengine - INFO - Iter(train) [42300/200000] lr: 3.575e-04 eta: 1 day, 1:47:46 time: 0.467 data_time: 0.044 memory: 7433 loss: 0.0500 2022/06/20 09:50:53 - mmengine - INFO - Iter(train) [42400/200000] lr: 3.573e-04 eta: 1 day, 1:46:29 time: 0.452 data_time: 0.050 memory: 7434 loss: 0.0508 2022/06/20 09:51:44 - mmengine - INFO - Iter(train) [42500/200000] lr: 3.571e-04 eta: 1 day, 1:44:59 time: 0.442 data_time: 0.030 memory: 7431 loss: 0.0468 2022/06/20 09:52:35 - mmengine - INFO - Iter(train) [42600/200000] lr: 3.569e-04 eta: 1 day, 1:43:30 time: 0.465 data_time: 0.039 memory: 7431 loss: 0.0563 2022/06/20 09:53:23 - mmengine - INFO - Iter(train) [42700/200000] lr: 3.567e-04 eta: 1 day, 1:41:53 time: 0.480 data_time: 0.043 memory: 7433 loss: 0.0463 2022/06/20 09:54:09 - mmengine - INFO - Iter(train) [42800/200000] lr: 3.565e-04 eta: 1 day, 1:40:07 time: 0.460 data_time: 0.045 memory: 7433 loss: 0.0488 2022/06/20 09:54:55 - mmengine - INFO - Iter(train) [42900/200000] lr: 3.563e-04 eta: 1 day, 1:38:23 time: 0.515 data_time: 0.071 memory: 7432 loss: 0.0463 2022/06/20 09:55:45 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 09:55:45 - mmengine - INFO - Iter(train) [43000/200000] lr: 3.561e-04 eta: 1 day, 1:36:49 time: 0.471 data_time: 0.041 memory: 7432 loss: 0.0500 2022/06/20 09:56:32 - mmengine - INFO - Iter(train) [43100/200000] lr: 3.559e-04 eta: 1 day, 1:35:11 time: 0.475 data_time: 0.044 memory: 7431 loss: 0.0460 2022/06/20 09:57:25 - mmengine - INFO - Iter(train) [43200/200000] lr: 3.557e-04 eta: 1 day, 1:33:51 time: 0.474 data_time: 0.056 memory: 7430 loss: 0.0489 2022/06/20 09:58:12 - mmengine - INFO - Iter(train) [43300/200000] lr: 3.555e-04 eta: 1 day, 1:32:07 time: 0.474 data_time: 0.057 memory: 7431 loss: 0.0473 2022/06/20 09:59:02 - mmengine - INFO - Iter(train) [43400/200000] lr: 3.553e-04 eta: 1 day, 1:30:37 time: 0.470 data_time: 0.043 memory: 7430 loss: 0.0436 2022/06/20 09:59:54 - mmengine - INFO - Iter(train) [43500/200000] lr: 3.551e-04 eta: 1 day, 1:29:15 time: 0.455 data_time: 0.046 memory: 7434 loss: 0.0467 2022/06/20 10:00:45 - mmengine - INFO - Iter(train) [43600/200000] lr: 3.549e-04 eta: 1 day, 1:27:51 time: 0.459 data_time: 0.050 memory: 7431 loss: 0.0520 2022/06/20 10:01:33 - mmengine - INFO - Iter(train) [43700/200000] lr: 3.547e-04 eta: 1 day, 1:26:12 time: 0.457 data_time: 0.056 memory: 7430 loss: 0.0469 2022/06/20 10:02:22 - mmengine - INFO - Iter(train) [43800/200000] lr: 3.545e-04 eta: 1 day, 1:24:41 time: 0.469 data_time: 0.041 memory: 7432 loss: 0.0454 2022/06/20 10:03:09 - mmengine - INFO - Iter(train) [43900/200000] lr: 3.543e-04 eta: 1 day, 1:22:59 time: 0.445 data_time: 0.033 memory: 7432 loss: 0.0485 2022/06/20 10:03:56 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 10:03:56 - mmengine - INFO - Iter(train) [44000/200000] lr: 3.541e-04 eta: 1 day, 1:21:19 time: 0.460 data_time: 0.051 memory: 7435 loss: 0.0491 2022/06/20 10:04:42 - mmengine - INFO - Iter(train) [44100/200000] lr: 3.539e-04 eta: 1 day, 1:19:39 time: 0.454 data_time: 0.035 memory: 7432 loss: 0.0446 2022/06/20 10:05:36 - mmengine - INFO - Iter(train) [44200/200000] lr: 3.537e-04 eta: 1 day, 1:18:22 time: 0.442 data_time: 0.036 memory: 7431 loss: 0.0550 2022/06/20 10:06:23 - mmengine - INFO - Iter(train) [44300/200000] lr: 3.535e-04 eta: 1 day, 1:16:45 time: 0.449 data_time: 0.040 memory: 7431 loss: 0.0498 2022/06/20 10:07:15 - mmengine - INFO - Iter(train) [44400/200000] lr: 3.533e-04 eta: 1 day, 1:15:23 time: 0.454 data_time: 0.045 memory: 7431 loss: 0.0522 2022/06/20 10:08:12 - mmengine - INFO - Iter(train) [44500/200000] lr: 3.531e-04 eta: 1 day, 1:14:20 time: 0.466 data_time: 0.031 memory: 7431 loss: 0.0483 2022/06/20 10:09:12 - mmengine - INFO - Iter(train) [44600/200000] lr: 3.529e-04 eta: 1 day, 1:13:27 time: 0.479 data_time: 0.045 memory: 7431 loss: 0.0512 2022/06/20 10:10:04 - mmengine - INFO - Iter(train) [44700/200000] lr: 3.527e-04 eta: 1 day, 1:12:05 time: 0.463 data_time: 0.046 memory: 7431 loss: 0.0461 2022/06/20 10:11:02 - mmengine - INFO - Iter(train) [44800/200000] lr: 3.525e-04 eta: 1 day, 1:11:05 time: 0.453 data_time: 0.034 memory: 7431 loss: 0.0468 2022/06/20 10:11:50 - mmengine - INFO - Iter(train) [44900/200000] lr: 3.523e-04 eta: 1 day, 1:09:32 time: 0.565 data_time: 0.116 memory: 7430 loss: 0.0440 2022/06/20 10:12:46 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 10:12:46 - mmengine - INFO - Iter(train) [45000/200000] lr: 3.521e-04 eta: 1 day, 1:08:25 time: 0.582 data_time: 0.029 memory: 7430 loss: 0.0506 2022/06/20 10:13:40 - mmengine - INFO - Iter(train) [45100/200000] lr: 3.519e-04 eta: 1 day, 1:07:11 time: 0.469 data_time: 0.036 memory: 7432 loss: 0.0459 2022/06/20 10:14:37 - mmengine - INFO - Iter(train) [45200/200000] lr: 3.517e-04 eta: 1 day, 1:06:09 time: 1.148 data_time: 0.043 memory: 7431 loss: 0.0460 2022/06/20 10:15:34 - mmengine - INFO - Iter(train) [45300/200000] lr: 3.515e-04 eta: 1 day, 1:05:05 time: 0.457 data_time: 0.040 memory: 7432 loss: 0.0451 2022/06/20 10:16:36 - mmengine - INFO - Iter(train) [45400/200000] lr: 3.513e-04 eta: 1 day, 1:04:19 time: 0.460 data_time: 0.054 memory: 7430 loss: 0.0483 2022/06/20 10:17:38 - mmengine - INFO - Iter(train) [45500/200000] lr: 3.511e-04 eta: 1 day, 1:03:32 time: 0.489 data_time: 0.055 memory: 7430 loss: 0.0443 2022/06/20 10:18:40 - mmengine - INFO - Iter(train) [45600/200000] lr: 3.509e-04 eta: 1 day, 1:02:46 time: 1.065 data_time: 0.062 memory: 7430 loss: 0.0463 2022/06/20 10:19:34 - mmengine - INFO - Iter(train) [45700/200000] lr: 3.506e-04 eta: 1 day, 1:01:33 time: 0.469 data_time: 0.045 memory: 7431 loss: 0.0469 2022/06/20 10:20:35 - mmengine - INFO - Iter(train) [45800/200000] lr: 3.504e-04 eta: 1 day, 1:00:45 time: 0.469 data_time: 0.043 memory: 7430 loss: 0.0498 2022/06/20 10:21:36 - mmengine - INFO - Iter(train) [45900/200000] lr: 3.502e-04 eta: 1 day, 0:59:52 time: 0.474 data_time: 0.067 memory: 7430 loss: 0.0440 2022/06/20 10:22:40 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 10:22:40 - mmengine - INFO - Iter(train) [46000/200000] lr: 3.500e-04 eta: 1 day, 0:59:12 time: 0.665 data_time: 0.237 memory: 7432 loss: 0.0465 2022/06/20 10:23:44 - mmengine - INFO - Iter(train) [46100/200000] lr: 3.498e-04 eta: 1 day, 0:58:34 time: 0.469 data_time: 0.057 memory: 7432 loss: 0.0438 2022/06/20 10:24:43 - mmengine - INFO - Iter(train) [46200/200000] lr: 3.496e-04 eta: 1 day, 0:57:36 time: 0.493 data_time: 0.045 memory: 7432 loss: 0.0475 2022/06/20 10:25:37 - mmengine - INFO - Iter(train) [46300/200000] lr: 3.494e-04 eta: 1 day, 0:56:24 time: 0.461 data_time: 0.042 memory: 7432 loss: 0.0498 2022/06/20 10:26:31 - mmengine - INFO - Iter(train) [46400/200000] lr: 3.492e-04 eta: 1 day, 0:55:11 time: 0.457 data_time: 0.033 memory: 7432 loss: 0.0457 2022/06/20 10:27:37 - mmengine - INFO - Iter(train) [46500/200000] lr: 3.490e-04 eta: 1 day, 0:54:36 time: 0.482 data_time: 0.043 memory: 7433 loss: 0.0487 2022/06/20 10:28:32 - mmengine - INFO - Iter(train) [46600/200000] lr: 3.488e-04 eta: 1 day, 0:53:29 time: 0.449 data_time: 0.042 memory: 7433 loss: 0.0437 2022/06/20 10:29:24 - mmengine - INFO - Iter(train) [46700/200000] lr: 3.486e-04 eta: 1 day, 0:52:09 time: 0.459 data_time: 0.046 memory: 7431 loss: 0.0482 2022/06/20 10:30:21 - mmengine - INFO - Iter(train) [46800/200000] lr: 3.484e-04 eta: 1 day, 0:51:05 time: 0.457 data_time: 0.048 memory: 7432 loss: 0.0495 2022/06/20 10:31:16 - mmengine - INFO - Iter(train) [46900/200000] lr: 3.481e-04 eta: 1 day, 0:49:56 time: 0.448 data_time: 0.045 memory: 7432 loss: 0.0435 2022/06/20 10:32:09 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 10:32:09 - mmengine - INFO - Iter(train) [47000/200000] lr: 3.479e-04 eta: 1 day, 0:48:40 time: 0.487 data_time: 0.052 memory: 7432 loss: 0.0521 2022/06/20 10:33:04 - mmengine - INFO - Iter(train) [47100/200000] lr: 3.477e-04 eta: 1 day, 0:47:31 time: 0.477 data_time: 0.037 memory: 7431 loss: 0.0419 2022/06/20 10:34:04 - mmengine - INFO - Iter(train) [47200/200000] lr: 3.475e-04 eta: 1 day, 0:46:38 time: 0.467 data_time: 0.052 memory: 7431 loss: 0.0510 2022/06/20 10:35:06 - mmengine - INFO - Iter(train) [47300/200000] lr: 3.473e-04 eta: 1 day, 0:45:51 time: 0.458 data_time: 0.025 memory: 7433 loss: 0.0568 2022/06/20 10:35:59 - mmengine - INFO - Iter(train) [47400/200000] lr: 3.471e-04 eta: 1 day, 0:44:36 time: 0.472 data_time: 0.043 memory: 7433 loss: 0.0479 2022/06/20 10:37:04 - mmengine - INFO - Iter(train) [47500/200000] lr: 3.469e-04 eta: 1 day, 0:43:59 time: 0.476 data_time: 0.056 memory: 7431 loss: 0.0451 2022/06/20 10:38:08 - mmengine - INFO - Iter(train) [47600/200000] lr: 3.467e-04 eta: 1 day, 0:43:17 time: 0.456 data_time: 0.035 memory: 7430 loss: 0.0473 2022/06/20 10:38:57 - mmengine - INFO - Iter(train) [47700/200000] lr: 3.464e-04 eta: 1 day, 0:41:47 time: 0.467 data_time: 0.041 memory: 7430 loss: 0.0460 2022/06/20 10:39:56 - mmengine - INFO - Iter(train) [47800/200000] lr: 3.462e-04 eta: 1 day, 0:40:52 time: 0.971 data_time: 0.051 memory: 7432 loss: 0.0476 2022/06/20 10:40:44 - mmengine - INFO - Iter(train) [47900/200000] lr: 3.460e-04 eta: 1 day, 0:39:19 time: 0.481 data_time: 0.044 memory: 7430 loss: 0.0451 2022/06/20 10:41:42 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 10:41:42 - mmengine - INFO - Iter(train) [48000/200000] lr: 3.458e-04 eta: 1 day, 0:38:20 time: 0.880 data_time: 0.050 memory: 7431 loss: 0.0427 2022/06/20 10:42:34 - mmengine - INFO - Iter(train) [48100/200000] lr: 3.456e-04 eta: 1 day, 0:37:02 time: 0.479 data_time: 0.045 memory: 7431 loss: 0.0479 2022/06/20 10:43:39 - mmengine - INFO - Iter(train) [48200/200000] lr: 3.454e-04 eta: 1 day, 0:36:26 time: 0.629 data_time: 0.074 memory: 7432 loss: 0.0592 2022/06/20 10:44:43 - mmengine - INFO - Iter(train) [48300/200000] lr: 3.451e-04 eta: 1 day, 0:35:43 time: 0.495 data_time: 0.059 memory: 7431 loss: 0.0492 2022/06/20 10:45:34 - mmengine - INFO - Iter(train) [48400/200000] lr: 3.449e-04 eta: 1 day, 0:34:22 time: 0.469 data_time: 0.041 memory: 7432 loss: 0.0496 2022/06/20 10:46:27 - mmengine - INFO - Iter(train) [48500/200000] lr: 3.447e-04 eta: 1 day, 0:33:06 time: 0.457 data_time: 0.050 memory: 7433 loss: 0.0442 2022/06/20 10:47:20 - mmengine - INFO - Iter(train) [48600/200000] lr: 3.445e-04 eta: 1 day, 0:31:51 time: 0.448 data_time: 0.036 memory: 7433 loss: 0.0525 2022/06/20 10:48:13 - mmengine - INFO - Iter(train) [48700/200000] lr: 3.443e-04 eta: 1 day, 0:30:38 time: 0.464 data_time: 0.063 memory: 7431 loss: 0.0518 2022/06/20 10:49:10 - mmengine - INFO - Iter(train) [48800/200000] lr: 3.441e-04 eta: 1 day, 0:29:33 time: 0.447 data_time: 0.051 memory: 7433 loss: 0.0484 2022/06/20 10:49:56 - mmengine - INFO - Iter(train) [48900/200000] lr: 3.438e-04 eta: 1 day, 0:27:57 time: 0.458 data_time: 0.058 memory: 7431 loss: 0.0488 2022/06/20 10:50:48 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 10:50:48 - mmengine - INFO - Iter(train) [49000/200000] lr: 3.436e-04 eta: 1 day, 0:26:39 time: 0.459 data_time: 0.029 memory: 7432 loss: 0.0468 2022/06/20 10:51:42 - mmengine - INFO - Iter(train) [49100/200000] lr: 3.434e-04 eta: 1 day, 0:25:29 time: 0.876 data_time: 0.031 memory: 7431 loss: 0.0402 2022/06/20 10:52:32 - mmengine - INFO - Iter(train) [49200/200000] lr: 3.432e-04 eta: 1 day, 0:24:06 time: 0.461 data_time: 0.040 memory: 7431 loss: 0.0477 2022/06/20 10:53:44 - mmengine - INFO - Iter(train) [49300/200000] lr: 3.430e-04 eta: 1 day, 0:23:47 time: 0.463 data_time: 0.048 memory: 7431 loss: 0.0448 2022/06/20 10:54:44 - mmengine - INFO - Iter(train) [49400/200000] lr: 3.428e-04 eta: 1 day, 0:22:56 time: 1.227 data_time: 0.685 memory: 7431 loss: 0.0488 2022/06/20 10:55:36 - mmengine - INFO - Iter(train) [49500/200000] lr: 3.425e-04 eta: 1 day, 0:21:39 time: 0.463 data_time: 0.041 memory: 7430 loss: 0.0449 2022/06/20 10:56:38 - mmengine - INFO - Iter(train) [49600/200000] lr: 3.423e-04 eta: 1 day, 0:20:51 time: 0.476 data_time: 0.060 memory: 7432 loss: 0.0464 2022/06/20 10:57:34 - mmengine - INFO - Iter(train) [49700/200000] lr: 3.421e-04 eta: 1 day, 0:19:45 time: 0.441 data_time: 0.039 memory: 7431 loss: 0.0525 2022/06/20 10:58:36 - mmengine - INFO - Iter(train) [49800/200000] lr: 3.419e-04 eta: 1 day, 0:19:00 time: 0.871 data_time: 0.038 memory: 7432 loss: 0.0437 2022/06/20 10:59:33 - mmengine - INFO - Iter(train) [49900/200000] lr: 3.416e-04 eta: 1 day, 0:17:57 time: 1.109 data_time: 0.658 memory: 7432 loss: 0.0460 2022/06/20 11:00:33 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 11:00:33 - mmengine - INFO - Iter(train) [50000/200000] lr: 3.414e-04 eta: 1 day, 0:17:02 time: 0.499 data_time: 0.060 memory: 7429 loss: 0.0431 2022/06/20 11:00:33 - mmengine - INFO - Saving checkpoint at 50000 iterations 2022/06/20 11:01:33 - mmengine - INFO - Iter(val) [100/250] eta: 0:01:16 time: 0.510 data_time: 0.027 memory: 2344 2022/06/20 11:02:26 - mmengine - INFO - Iter(val) [200/250] eta: 0:00:24 time: 0.482 data_time: 0.024 memory: 1999 2022/06/20 11:02:53 - mmengine - INFO - Iter(val) [250/250] SAD: 44.6237 MattingMSE: 0.0136 GradientError: 22.7171 ConnectivityError: 44.1120 2022/06/20 11:03:44 - mmengine - INFO - Iter(train) [50100/200000] lr: 3.412e-04 eta: 1 day, 0:15:43 time: 0.496 data_time: 0.073 memory: 7432 loss: 0.0452 2022/06/20 11:04:44 - mmengine - INFO - Iter(train) [50200/200000] lr: 3.410e-04 eta: 1 day, 0:14:49 time: 0.449 data_time: 0.027 memory: 7429 loss: 0.0473 2022/06/20 11:05:38 - mmengine - INFO - Iter(train) [50300/200000] lr: 3.408e-04 eta: 1 day, 0:13:36 time: 0.449 data_time: 0.042 memory: 7432 loss: 0.0474 2022/06/20 11:06:39 - mmengine - INFO - Iter(train) [50400/200000] lr: 3.405e-04 eta: 1 day, 0:12:48 time: 0.490 data_time: 0.044 memory: 7432 loss: 0.0469 2022/06/20 11:07:37 - mmengine - INFO - Iter(train) [50500/200000] lr: 3.403e-04 eta: 1 day, 0:11:48 time: 0.494 data_time: 0.058 memory: 7431 loss: 0.0415 2022/06/20 11:08:51 - mmengine - INFO - Iter(train) [50600/200000] lr: 3.401e-04 eta: 1 day, 0:11:37 time: 0.510 data_time: 0.062 memory: 7431 loss: 0.0462 2022/06/20 11:09:45 - mmengine - INFO - Iter(train) [50700/200000] lr: 3.399e-04 eta: 1 day, 0:10:25 time: 0.482 data_time: 0.046 memory: 7433 loss: 0.0476 2022/06/20 11:10:32 - mmengine - INFO - Iter(train) [50800/200000] lr: 3.396e-04 eta: 1 day, 0:08:53 time: 0.465 data_time: 0.043 memory: 7431 loss: 0.0445 2022/06/20 11:11:29 - mmengine - INFO - Iter(train) [50900/200000] lr: 3.394e-04 eta: 1 day, 0:07:51 time: 0.469 data_time: 0.045 memory: 7436 loss: 0.0481 2022/06/20 11:12:28 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 11:12:28 - mmengine - INFO - Iter(train) [51000/200000] lr: 3.392e-04 eta: 1 day, 0:06:56 time: 0.918 data_time: 0.046 memory: 7433 loss: 0.0550 2022/06/20 11:13:24 - mmengine - INFO - Iter(train) [51100/200000] lr: 3.390e-04 eta: 1 day, 0:05:50 time: 0.451 data_time: 0.036 memory: 7430 loss: 0.0475 2022/06/20 11:14:24 - mmengine - INFO - Iter(train) [51200/200000] lr: 3.387e-04 eta: 1 day, 0:04:57 time: 0.461 data_time: 0.039 memory: 7431 loss: 0.0448 2022/06/20 11:15:34 - mmengine - INFO - Iter(train) [51300/200000] lr: 3.385e-04 eta: 1 day, 0:04:34 time: 0.470 data_time: 0.053 memory: 7434 loss: 0.0457 2022/06/20 11:16:30 - mmengine - INFO - Iter(train) [51400/200000] lr: 3.383e-04 eta: 1 day, 0:03:26 time: 0.480 data_time: 0.044 memory: 7431 loss: 0.0428 2022/06/20 11:17:28 - mmengine - INFO - Iter(train) [51500/200000] lr: 3.381e-04 eta: 1 day, 0:02:30 time: 0.454 data_time: 0.036 memory: 7434 loss: 0.0514 2022/06/20 11:18:24 - mmengine - INFO - Iter(train) [51600/200000] lr: 3.378e-04 eta: 1 day, 0:01:25 time: 0.435 data_time: 0.042 memory: 7431 loss: 0.0461 2022/06/20 11:19:26 - mmengine - INFO - Iter(train) [51700/200000] lr: 3.376e-04 eta: 1 day, 0:00:35 time: 0.476 data_time: 0.038 memory: 7430 loss: 0.0462 2022/06/20 11:20:22 - mmengine - INFO - Iter(train) [51800/200000] lr: 3.374e-04 eta: 23:59:30 time: 0.501 data_time: 0.070 memory: 7429 loss: 0.0418 2022/06/20 11:21:17 - mmengine - INFO - Iter(train) [51900/200000] lr: 3.371e-04 eta: 23:58:23 time: 0.440 data_time: 0.039 memory: 7429 loss: 0.0428 2022/06/20 11:22:20 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 11:22:20 - mmengine - INFO - Iter(train) [52000/200000] lr: 3.369e-04 eta: 23:57:38 time: 0.504 data_time: 0.062 memory: 7433 loss: 0.0457 2022/06/20 11:23:19 - mmengine - INFO - Iter(train) [52100/200000] lr: 3.367e-04 eta: 23:56:43 time: 1.405 data_time: 0.777 memory: 7431 loss: 0.0450 2022/06/20 11:24:09 - mmengine - INFO - Iter(train) [52200/200000] lr: 3.365e-04 eta: 23:55:19 time: 0.462 data_time: 0.042 memory: 7433 loss: 0.0461 2022/06/20 11:25:04 - mmengine - INFO - Iter(train) [52300/200000] lr: 3.362e-04 eta: 23:54:13 time: 0.468 data_time: 0.054 memory: 7432 loss: 0.0470 2022/06/20 11:26:02 - mmengine - INFO - Iter(train) [52400/200000] lr: 3.360e-04 eta: 23:53:14 time: 1.308 data_time: 0.044 memory: 7433 loss: 0.0440 2022/06/20 11:26:57 - mmengine - INFO - Iter(train) [52500/200000] lr: 3.358e-04 eta: 23:52:06 time: 0.724 data_time: 0.039 memory: 7432 loss: 0.0426 2022/06/20 11:28:00 - mmengine - INFO - Iter(train) [52600/200000] lr: 3.355e-04 eta: 23:51:21 time: 1.017 data_time: 0.067 memory: 7432 loss: 0.0412 2022/06/20 11:28:59 - mmengine - INFO - Iter(train) [52700/200000] lr: 3.353e-04 eta: 23:50:23 time: 0.479 data_time: 0.041 memory: 7433 loss: 0.0477 2022/06/20 11:29:58 - mmengine - INFO - Iter(train) [52800/200000] lr: 3.351e-04 eta: 23:49:29 time: 0.471 data_time: 0.044 memory: 7433 loss: 0.0441 2022/06/20 11:31:04 - mmengine - INFO - Iter(train) [52900/200000] lr: 3.348e-04 eta: 23:48:50 time: 0.448 data_time: 0.032 memory: 7431 loss: 0.0481 2022/06/20 11:32:08 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 11:32:08 - mmengine - INFO - Iter(train) [53000/200000] lr: 3.346e-04 eta: 23:48:10 time: 1.263 data_time: 0.058 memory: 7432 loss: 0.0455 2022/06/20 11:33:03 - mmengine - INFO - Iter(train) [53100/200000] lr: 3.344e-04 eta: 23:47:00 time: 0.466 data_time: 0.043 memory: 7433 loss: 0.0540 2022/06/20 11:34:08 - mmengine - INFO - Iter(train) [53200/200000] lr: 3.341e-04 eta: 23:46:20 time: 0.490 data_time: 0.061 memory: 7433 loss: 0.0418 2022/06/20 11:35:08 - mmengine - INFO - Iter(train) [53300/200000] lr: 3.339e-04 eta: 23:45:27 time: 1.177 data_time: 0.777 memory: 7431 loss: 0.0451 2022/06/20 11:36:02 - mmengine - INFO - Iter(train) [53400/200000] lr: 3.337e-04 eta: 23:44:17 time: 0.458 data_time: 0.037 memory: 7431 loss: 0.0472 2022/06/20 11:36:55 - mmengine - INFO - Iter(train) [53500/200000] lr: 3.334e-04 eta: 23:43:04 time: 0.471 data_time: 0.059 memory: 7431 loss: 0.0450 2022/06/20 11:37:44 - mmengine - INFO - Iter(train) [53600/200000] lr: 3.332e-04 eta: 23:41:40 time: 0.471 data_time: 0.051 memory: 7430 loss: 0.0398 2022/06/20 11:38:40 - mmengine - INFO - Iter(train) [53700/200000] lr: 3.330e-04 eta: 23:40:37 time: 1.181 data_time: 0.781 memory: 7433 loss: 0.0451 2022/06/20 11:39:33 - mmengine - INFO - Iter(train) [53800/200000] lr: 3.327e-04 eta: 23:39:23 time: 0.472 data_time: 0.039 memory: 7431 loss: 0.0435 2022/06/20 11:40:30 - mmengine - INFO - Iter(train) [53900/200000] lr: 3.325e-04 eta: 23:38:23 time: 0.452 data_time: 0.039 memory: 7432 loss: 0.0449 2022/06/20 11:41:30 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 11:41:30 - mmengine - INFO - Iter(train) [54000/200000] lr: 3.323e-04 eta: 23:37:30 time: 0.762 data_time: 0.113 memory: 7430 loss: 0.0466 2022/06/20 11:42:22 - mmengine - INFO - Iter(train) [54100/200000] lr: 3.320e-04 eta: 23:36:14 time: 0.476 data_time: 0.049 memory: 7432 loss: 0.0447 2022/06/20 11:43:19 - mmengine - INFO - Iter(train) [54200/200000] lr: 3.318e-04 eta: 23:35:13 time: 0.441 data_time: 0.044 memory: 7432 loss: 0.0437 2022/06/20 11:44:19 - mmengine - INFO - Iter(train) [54300/200000] lr: 3.316e-04 eta: 23:34:18 time: 0.461 data_time: 0.037 memory: 7431 loss: 0.0443 2022/06/20 11:45:15 - mmengine - INFO - Iter(train) [54400/200000] lr: 3.313e-04 eta: 23:33:15 time: 0.652 data_time: 0.031 memory: 7431 loss: 0.0397 2022/06/20 11:46:08 - mmengine - INFO - Iter(train) [54500/200000] lr: 3.311e-04 eta: 23:32:03 time: 0.477 data_time: 0.042 memory: 7430 loss: 0.0499 2022/06/20 11:47:02 - mmengine - INFO - Iter(train) [54600/200000] lr: 3.308e-04 eta: 23:30:51 time: 0.469 data_time: 0.059 memory: 7431 loss: 0.0474 2022/06/20 11:48:03 - mmengine - INFO - Iter(train) [54700/200000] lr: 3.306e-04 eta: 23:30:00 time: 0.449 data_time: 0.046 memory: 7432 loss: 0.0429 2022/06/20 11:49:00 - mmengine - INFO - Iter(train) [54800/200000] lr: 3.304e-04 eta: 23:28:59 time: 0.489 data_time: 0.066 memory: 7431 loss: 0.0490 2022/06/20 11:49:48 - mmengine - INFO - Iter(train) [54900/200000] lr: 3.301e-04 eta: 23:27:33 time: 0.455 data_time: 0.041 memory: 7432 loss: 0.0472 2022/06/20 11:50:35 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 11:50:35 - mmengine - INFO - Iter(train) [55000/200000] lr: 3.299e-04 eta: 23:26:06 time: 0.455 data_time: 0.046 memory: 7431 loss: 0.0472 2022/06/20 11:51:36 - mmengine - INFO - Iter(train) [55100/200000] lr: 3.297e-04 eta: 23:25:15 time: 0.475 data_time: 0.041 memory: 7430 loss: 0.0455 2022/06/20 11:52:41 - mmengine - INFO - Iter(train) [55200/200000] lr: 3.294e-04 eta: 23:24:34 time: 1.687 data_time: 1.020 memory: 7432 loss: 0.0442 2022/06/20 11:53:35 - mmengine - INFO - Iter(train) [55300/200000] lr: 3.292e-04 eta: 23:23:26 time: 0.468 data_time: 0.039 memory: 7432 loss: 0.0436 2022/06/20 11:54:34 - mmengine - INFO - Iter(train) [55400/200000] lr: 3.289e-04 eta: 23:22:29 time: 0.487 data_time: 0.041 memory: 7431 loss: 0.0473 2022/06/20 11:55:32 - mmengine - INFO - Iter(train) [55500/200000] lr: 3.287e-04 eta: 23:21:32 time: 0.479 data_time: 0.048 memory: 7431 loss: 0.0452 2022/06/20 11:56:35 - mmengine - INFO - Iter(train) [55600/200000] lr: 3.285e-04 eta: 23:20:44 time: 0.720 data_time: 0.257 memory: 7431 loss: 0.0484 2022/06/20 11:57:35 - mmengine - INFO - Iter(train) [55700/200000] lr: 3.282e-04 eta: 23:19:51 time: 1.012 data_time: 0.594 memory: 7432 loss: 0.0413 2022/06/20 11:58:32 - mmengine - INFO - Iter(train) [55800/200000] lr: 3.280e-04 eta: 23:18:49 time: 0.449 data_time: 0.038 memory: 7430 loss: 0.0452 2022/06/20 11:59:35 - mmengine - INFO - Iter(train) [55900/200000] lr: 3.277e-04 eta: 23:18:03 time: 0.771 data_time: 0.043 memory: 7432 loss: 0.0459 2022/06/20 12:00:30 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 12:00:30 - mmengine - INFO - Iter(train) [56000/200000] lr: 3.275e-04 eta: 23:16:57 time: 0.466 data_time: 0.046 memory: 7432 loss: 0.0444 2022/06/20 12:01:32 - mmengine - INFO - Iter(train) [56100/200000] lr: 3.272e-04 eta: 23:16:07 time: 0.464 data_time: 0.047 memory: 7429 loss: 0.0498 2022/06/20 12:02:30 - mmengine - INFO - Iter(train) [56200/200000] lr: 3.270e-04 eta: 23:15:10 time: 1.052 data_time: 0.627 memory: 7434 loss: 0.0469 2022/06/20 12:03:22 - mmengine - INFO - Iter(train) [56300/200000] lr: 3.268e-04 eta: 23:13:56 time: 0.433 data_time: 0.034 memory: 7430 loss: 0.0437 2022/06/20 12:04:21 - mmengine - INFO - Iter(train) [56400/200000] lr: 3.265e-04 eta: 23:13:00 time: 0.467 data_time: 0.039 memory: 7431 loss: 0.0551 2022/06/20 12:05:21 - mmengine - INFO - Iter(train) [56500/200000] lr: 3.263e-04 eta: 23:12:06 time: 0.488 data_time: 0.052 memory: 7430 loss: 0.0417 2022/06/20 12:06:18 - mmengine - INFO - Iter(train) [56600/200000] lr: 3.260e-04 eta: 23:11:04 time: 0.474 data_time: 0.040 memory: 7429 loss: 0.0425 2022/06/20 12:07:20 - mmengine - INFO - Iter(train) [56700/200000] lr: 3.258e-04 eta: 23:10:14 time: 0.885 data_time: 0.045 memory: 7433 loss: 0.0432 2022/06/20 12:08:17 - mmengine - INFO - Iter(train) [56800/200000] lr: 3.255e-04 eta: 23:09:14 time: 1.031 data_time: 0.033 memory: 7431 loss: 0.0400 2022/06/20 12:09:09 - mmengine - INFO - Iter(train) [56900/200000] lr: 3.253e-04 eta: 23:08:00 time: 0.473 data_time: 0.058 memory: 7433 loss: 0.0424 2022/06/20 12:10:00 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 12:10:00 - mmengine - INFO - Iter(train) [57000/200000] lr: 3.251e-04 eta: 23:06:44 time: 0.455 data_time: 0.043 memory: 7430 loss: 0.0465 2022/06/20 12:10:49 - mmengine - INFO - Iter(train) [57100/200000] lr: 3.248e-04 eta: 23:05:23 time: 0.469 data_time: 0.053 memory: 7431 loss: 0.0467 2022/06/20 12:11:53 - mmengine - INFO - Iter(train) [57200/200000] lr: 3.246e-04 eta: 23:04:40 time: 0.983 data_time: 0.030 memory: 7429 loss: 0.0452 2022/06/20 12:12:48 - mmengine - INFO - Iter(train) [57300/200000] lr: 3.243e-04 eta: 23:03:33 time: 0.446 data_time: 0.031 memory: 7431 loss: 0.0532 2022/06/20 12:13:51 - mmengine - INFO - Iter(train) [57400/200000] lr: 3.241e-04 eta: 23:02:46 time: 0.496 data_time: 0.065 memory: 7432 loss: 0.0490 2022/06/20 12:14:52 - mmengine - INFO - Iter(train) [57500/200000] lr: 3.238e-04 eta: 23:01:55 time: 1.227 data_time: 0.061 memory: 7430 loss: 0.0563 2022/06/20 12:15:45 - mmengine - INFO - Iter(train) [57600/200000] lr: 3.236e-04 eta: 23:00:44 time: 0.475 data_time: 0.046 memory: 7431 loss: 0.0444 2022/06/20 12:16:45 - mmengine - INFO - Iter(train) [57700/200000] lr: 3.233e-04 eta: 22:59:51 time: 0.466 data_time: 0.045 memory: 7433 loss: 0.0436 2022/06/20 12:17:42 - mmengine - INFO - Iter(train) [57800/200000] lr: 3.231e-04 eta: 22:58:50 time: 0.466 data_time: 0.046 memory: 7433 loss: 0.0444 2022/06/20 12:18:48 - mmengine - INFO - Iter(train) [57900/200000] lr: 3.228e-04 eta: 22:58:09 time: 1.364 data_time: 0.422 memory: 7430 loss: 0.0534 2022/06/20 12:19:42 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 12:19:42 - mmengine - INFO - Iter(train) [58000/200000] lr: 3.226e-04 eta: 22:57:03 time: 0.546 data_time: 0.069 memory: 7432 loss: 0.0444 2022/06/20 12:20:36 - mmengine - INFO - Iter(train) [58100/200000] lr: 3.223e-04 eta: 22:55:52 time: 0.482 data_time: 0.063 memory: 7431 loss: 0.0432 2022/06/20 12:21:33 - mmengine - INFO - Iter(train) [58200/200000] lr: 3.221e-04 eta: 22:54:51 time: 0.461 data_time: 0.026 memory: 7431 loss: 0.0486 2022/06/20 12:22:36 - mmengine - INFO - Iter(train) [58300/200000] lr: 3.218e-04 eta: 22:54:06 time: 0.456 data_time: 0.054 memory: 7430 loss: 0.0449 2022/06/20 12:23:30 - mmengine - INFO - Iter(train) [58400/200000] lr: 3.216e-04 eta: 22:52:57 time: 0.890 data_time: 0.027 memory: 7432 loss: 0.0450 2022/06/20 12:24:22 - mmengine - INFO - Iter(train) [58500/200000] lr: 3.213e-04 eta: 22:51:44 time: 0.456 data_time: 0.050 memory: 7430 loss: 0.0478 2022/06/20 12:25:16 - mmengine - INFO - Iter(train) [58600/200000] lr: 3.211e-04 eta: 22:50:36 time: 0.456 data_time: 0.039 memory: 7433 loss: 0.0473 2022/06/20 12:26:11 - mmengine - INFO - Iter(train) [58700/200000] lr: 3.208e-04 eta: 22:49:30 time: 0.545 data_time: 0.064 memory: 7431 loss: 0.0462 2022/06/20 12:27:00 - mmengine - INFO - Iter(train) [58800/200000] lr: 3.206e-04 eta: 22:48:09 time: 0.454 data_time: 0.038 memory: 7430 loss: 0.0479 2022/06/20 12:27:50 - mmengine - INFO - Iter(train) [58900/200000] lr: 3.203e-04 eta: 22:46:53 time: 0.438 data_time: 0.033 memory: 7430 loss: 0.0494 2022/06/20 12:28:47 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 12:28:47 - mmengine - INFO - Iter(train) [59000/200000] lr: 3.201e-04 eta: 22:45:51 time: 0.491 data_time: 0.065 memory: 7431 loss: 0.0444 2022/06/20 12:29:35 - mmengine - INFO - Iter(train) [59100/200000] lr: 3.198e-04 eta: 22:44:29 time: 0.467 data_time: 0.037 memory: 7433 loss: 0.0443 2022/06/20 12:30:34 - mmengine - INFO - Iter(train) [59200/200000] lr: 3.196e-04 eta: 22:43:33 time: 0.451 data_time: 0.042 memory: 7432 loss: 0.0503 2022/06/20 12:31:36 - mmengine - INFO - Iter(train) [59300/200000] lr: 3.193e-04 eta: 22:42:44 time: 0.443 data_time: 0.029 memory: 7432 loss: 0.0404 2022/06/20 12:32:25 - mmengine - INFO - Iter(train) [59400/200000] lr: 3.191e-04 eta: 22:41:23 time: 0.444 data_time: 0.030 memory: 7431 loss: 0.0426 2022/06/20 12:33:29 - mmengine - INFO - Iter(train) [59500/200000] lr: 3.188e-04 eta: 22:40:40 time: 0.469 data_time: 0.037 memory: 7430 loss: 0.0500 2022/06/20 12:34:31 - mmengine - INFO - Iter(train) [59600/200000] lr: 3.186e-04 eta: 22:39:51 time: 0.472 data_time: 0.045 memory: 7431 loss: 0.0454 2022/06/20 12:35:36 - mmengine - INFO - Iter(train) [59700/200000] lr: 3.183e-04 eta: 22:39:08 time: 0.485 data_time: 0.041 memory: 7431 loss: 0.0450 2022/06/20 12:36:32 - mmengine - INFO - Iter(train) [59800/200000] lr: 3.181e-04 eta: 22:38:06 time: 0.439 data_time: 0.034 memory: 7431 loss: 0.0467 2022/06/20 12:37:36 - mmengine - INFO - Iter(train) [59900/200000] lr: 3.178e-04 eta: 22:37:21 time: 0.465 data_time: 0.041 memory: 7432 loss: 0.0456 2022/06/20 12:38:34 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 12:38:34 - mmengine - INFO - Iter(train) [60000/200000] lr: 3.176e-04 eta: 22:36:22 time: 0.447 data_time: 0.045 memory: 7430 loss: 0.0406 2022/06/20 12:38:34 - mmengine - INFO - Saving checkpoint at 60000 iterations 2022/06/20 12:39:35 - mmengine - INFO - Iter(val) [100/250] eta: 0:01:15 time: 0.504 data_time: 0.027 memory: 2343 2022/06/20 12:40:26 - mmengine - INFO - Iter(val) [200/250] eta: 0:00:23 time: 0.472 data_time: 0.017 memory: 2000 2022/06/20 12:40:56 - mmengine - INFO - Iter(val) [250/250] SAD: 54.6697 MattingMSE: 0.0164 GradientError: 30.3562 ConnectivityError: 55.4298 2022/06/20 12:41:43 - mmengine - INFO - Iter(train) [60100/200000] lr: 3.173e-04 eta: 22:35:00 time: 0.476 data_time: 0.054 memory: 7431 loss: 0.0405 2022/06/20 12:42:34 - mmengine - INFO - Iter(train) [60200/200000] lr: 3.171e-04 eta: 22:33:43 time: 0.437 data_time: 0.025 memory: 7433 loss: 0.0423 2022/06/20 12:43:20 - mmengine - INFO - Iter(train) [60300/200000] lr: 3.168e-04 eta: 22:32:18 time: 0.470 data_time: 0.047 memory: 7432 loss: 0.0431 2022/06/20 12:44:08 - mmengine - INFO - Iter(train) [60400/200000] lr: 3.165e-04 eta: 22:30:55 time: 0.461 data_time: 0.057 memory: 7432 loss: 0.0422 2022/06/20 12:44:55 - mmengine - INFO - Iter(train) [60500/200000] lr: 3.163e-04 eta: 22:29:33 time: 0.517 data_time: 0.063 memory: 7431 loss: 0.0444 2022/06/20 12:45:45 - mmengine - INFO - Iter(train) [60600/200000] lr: 3.160e-04 eta: 22:28:16 time: 0.448 data_time: 0.036 memory: 7433 loss: 0.0446 2022/06/20 12:46:34 - mmengine - INFO - Iter(train) [60700/200000] lr: 3.158e-04 eta: 22:26:58 time: 0.512 data_time: 0.047 memory: 7430 loss: 0.0436 2022/06/20 12:47:27 - mmengine - INFO - Iter(train) [60800/200000] lr: 3.155e-04 eta: 22:25:47 time: 0.493 data_time: 0.049 memory: 7432 loss: 0.0459 2022/06/20 12:48:14 - mmengine - INFO - Iter(train) [60900/200000] lr: 3.153e-04 eta: 22:24:25 time: 0.478 data_time: 0.048 memory: 7430 loss: 0.0455 2022/06/20 12:49:02 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 12:49:02 - mmengine - INFO - Iter(train) [61000/200000] lr: 3.150e-04 eta: 22:23:03 time: 0.461 data_time: 0.039 memory: 7431 loss: 0.0457 2022/06/20 12:49:54 - mmengine - INFO - Iter(train) [61100/200000] lr: 3.147e-04 eta: 22:21:53 time: 0.487 data_time: 0.057 memory: 7433 loss: 0.0448 2022/06/20 12:50:49 - mmengine - INFO - Iter(train) [61200/200000] lr: 3.145e-04 eta: 22:20:47 time: 0.494 data_time: 0.047 memory: 7433 loss: 0.0448 2022/06/20 12:51:39 - mmengine - INFO - Iter(train) [61300/200000] lr: 3.142e-04 eta: 22:19:30 time: 0.451 data_time: 0.045 memory: 7433 loss: 0.0436 2022/06/20 12:52:26 - mmengine - INFO - Iter(train) [61400/200000] lr: 3.140e-04 eta: 22:18:08 time: 0.470 data_time: 0.045 memory: 7430 loss: 0.0510 2022/06/20 12:53:19 - mmengine - INFO - Iter(train) [61500/200000] lr: 3.137e-04 eta: 22:16:59 time: 0.452 data_time: 0.042 memory: 7431 loss: 0.0424 2022/06/20 12:54:09 - mmengine - INFO - Iter(train) [61600/200000] lr: 3.135e-04 eta: 22:15:44 time: 0.465 data_time: 0.044 memory: 7431 loss: 0.0421 2022/06/20 12:55:01 - mmengine - INFO - Iter(train) [61700/200000] lr: 3.132e-04 eta: 22:14:33 time: 0.482 data_time: 0.056 memory: 7432 loss: 0.0495 2022/06/20 12:55:55 - mmengine - INFO - Iter(train) [61800/200000] lr: 3.129e-04 eta: 22:13:25 time: 0.450 data_time: 0.044 memory: 7431 loss: 0.0415 2022/06/20 12:56:42 - mmengine - INFO - Iter(train) [61900/200000] lr: 3.127e-04 eta: 22:12:04 time: 0.456 data_time: 0.044 memory: 7431 loss: 0.0421 2022/06/20 12:57:37 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 12:57:37 - mmengine - INFO - Iter(train) [62000/200000] lr: 3.124e-04 eta: 22:11:00 time: 0.478 data_time: 0.049 memory: 7435 loss: 0.0487 2022/06/20 12:58:24 - mmengine - INFO - Iter(train) [62100/200000] lr: 3.122e-04 eta: 22:09:37 time: 0.450 data_time: 0.042 memory: 7432 loss: 0.0372 2022/06/20 12:59:11 - mmengine - INFO - Iter(train) [62200/200000] lr: 3.119e-04 eta: 22:08:14 time: 0.473 data_time: 0.048 memory: 7430 loss: 0.0434 2022/06/20 13:00:03 - mmengine - INFO - Iter(train) [62300/200000] lr: 3.116e-04 eta: 22:07:05 time: 0.477 data_time: 0.041 memory: 7433 loss: 0.0440 2022/06/20 13:00:53 - mmengine - INFO - Iter(train) [62400/200000] lr: 3.114e-04 eta: 22:05:49 time: 0.472 data_time: 0.048 memory: 7434 loss: 0.0425 2022/06/20 13:01:45 - mmengine - INFO - Iter(train) [62500/200000] lr: 3.111e-04 eta: 22:04:38 time: 0.793 data_time: 0.059 memory: 7433 loss: 0.0452 2022/06/20 13:02:38 - mmengine - INFO - Iter(train) [62600/200000] lr: 3.109e-04 eta: 22:03:29 time: 0.484 data_time: 0.045 memory: 7431 loss: 0.0444 2022/06/20 13:03:29 - mmengine - INFO - Iter(train) [62700/200000] lr: 3.106e-04 eta: 22:02:17 time: 0.469 data_time: 0.053 memory: 7433 loss: 0.0478 2022/06/20 13:04:17 - mmengine - INFO - Iter(train) [62800/200000] lr: 3.103e-04 eta: 22:00:57 time: 0.461 data_time: 0.051 memory: 7432 loss: 0.0471 2022/06/20 13:05:04 - mmengine - INFO - Iter(train) [62900/200000] lr: 3.101e-04 eta: 21:59:37 time: 0.448 data_time: 0.042 memory: 7431 loss: 0.0416 2022/06/20 13:06:01 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 13:06:01 - mmengine - INFO - Iter(train) [63000/200000] lr: 3.098e-04 eta: 21:58:38 time: 0.449 data_time: 0.035 memory: 7431 loss: 0.0510 2022/06/20 13:06:50 - mmengine - INFO - Iter(train) [63100/200000] lr: 3.095e-04 eta: 21:57:20 time: 0.435 data_time: 0.034 memory: 7432 loss: 0.0421 2022/06/20 13:07:50 - mmengine - INFO - Iter(train) [63200/200000] lr: 3.093e-04 eta: 21:56:27 time: 0.533 data_time: 0.045 memory: 7431 loss: 0.0453 2022/06/20 13:08:41 - mmengine - INFO - Iter(train) [63300/200000] lr: 3.090e-04 eta: 21:55:14 time: 0.439 data_time: 0.039 memory: 7433 loss: 0.0406 2022/06/20 13:09:32 - mmengine - INFO - Iter(train) [63400/200000] lr: 3.088e-04 eta: 21:54:03 time: 0.609 data_time: 0.050 memory: 7430 loss: 0.0436 2022/06/20 13:10:22 - mmengine - INFO - Iter(train) [63500/200000] lr: 3.085e-04 eta: 21:52:47 time: 0.442 data_time: 0.042 memory: 7432 loss: 0.0474 2022/06/20 13:11:10 - mmengine - INFO - Iter(train) [63600/200000] lr: 3.082e-04 eta: 21:51:29 time: 0.439 data_time: 0.031 memory: 7433 loss: 0.0426 2022/06/20 13:12:02 - mmengine - INFO - Iter(train) [63700/200000] lr: 3.080e-04 eta: 21:50:19 time: 0.455 data_time: 0.037 memory: 7431 loss: 0.0441 2022/06/20 13:12:47 - mmengine - INFO - Iter(train) [63800/200000] lr: 3.077e-04 eta: 21:48:55 time: 0.462 data_time: 0.059 memory: 7432 loss: 0.0445 2022/06/20 13:13:36 - mmengine - INFO - Iter(train) [63900/200000] lr: 3.074e-04 eta: 21:47:39 time: 0.446 data_time: 0.035 memory: 7434 loss: 0.0464 2022/06/20 13:14:33 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 13:14:33 - mmengine - INFO - Iter(train) [64000/200000] lr: 3.072e-04 eta: 21:46:39 time: 0.456 data_time: 0.039 memory: 7432 loss: 0.0420 2022/06/20 13:15:18 - mmengine - INFO - Iter(train) [64100/200000] lr: 3.069e-04 eta: 21:45:16 time: 0.459 data_time: 0.037 memory: 7434 loss: 0.0452 2022/06/20 13:16:04 - mmengine - INFO - Iter(train) [64200/200000] lr: 3.066e-04 eta: 21:43:54 time: 0.475 data_time: 0.041 memory: 7432 loss: 0.0449 2022/06/20 13:17:00 - mmengine - INFO - Iter(train) [64300/200000] lr: 3.064e-04 eta: 21:42:51 time: 0.478 data_time: 0.039 memory: 7431 loss: 0.0361 2022/06/20 13:17:46 - mmengine - INFO - Iter(train) [64400/200000] lr: 3.061e-04 eta: 21:41:30 time: 0.460 data_time: 0.040 memory: 7433 loss: 0.0437 2022/06/20 13:18:41 - mmengine - INFO - Iter(train) [64500/200000] lr: 3.058e-04 eta: 21:40:26 time: 0.661 data_time: 0.071 memory: 7432 loss: 0.0470 2022/06/20 13:19:28 - mmengine - INFO - Iter(train) [64600/200000] lr: 3.056e-04 eta: 21:39:06 time: 0.487 data_time: 0.040 memory: 7430 loss: 0.0432 2022/06/20 13:20:28 - mmengine - INFO - Iter(train) [64700/200000] lr: 3.053e-04 eta: 21:38:13 time: 0.464 data_time: 0.042 memory: 7431 loss: 0.0385 2022/06/20 13:21:23 - mmengine - INFO - Iter(train) [64800/200000] lr: 3.050e-04 eta: 21:37:10 time: 0.461 data_time: 0.039 memory: 7431 loss: 0.0452 2022/06/20 13:22:13 - mmengine - INFO - Iter(train) [64900/200000] lr: 3.048e-04 eta: 21:35:57 time: 0.496 data_time: 0.064 memory: 7432 loss: 0.0401 2022/06/20 13:23:11 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 13:23:11 - mmengine - INFO - Iter(train) [65000/200000] lr: 3.045e-04 eta: 21:35:01 time: 0.472 data_time: 0.047 memory: 7431 loss: 0.0435 2022/06/20 13:24:00 - mmengine - INFO - Iter(train) [65100/200000] lr: 3.042e-04 eta: 21:33:46 time: 0.478 data_time: 0.053 memory: 7432 loss: 0.0404 2022/06/20 13:24:56 - mmengine - INFO - Iter(train) [65200/200000] lr: 3.040e-04 eta: 21:32:45 time: 0.495 data_time: 0.054 memory: 7432 loss: 0.0458 2022/06/20 13:25:52 - mmengine - INFO - Iter(train) [65300/200000] lr: 3.037e-04 eta: 21:31:44 time: 0.470 data_time: 0.047 memory: 7430 loss: 0.0459 2022/06/20 13:26:43 - mmengine - INFO - Iter(train) [65400/200000] lr: 3.034e-04 eta: 21:30:33 time: 0.488 data_time: 0.057 memory: 7430 loss: 0.0388 2022/06/20 13:27:45 - mmengine - INFO - Iter(train) [65500/200000] lr: 3.032e-04 eta: 21:29:44 time: 0.890 data_time: 0.195 memory: 7432 loss: 0.0505 2022/06/20 13:28:32 - mmengine - INFO - Iter(train) [65600/200000] lr: 3.029e-04 eta: 21:28:24 time: 0.467 data_time: 0.048 memory: 7432 loss: 0.0422 2022/06/20 13:29:31 - mmengine - INFO - Iter(train) [65700/200000] lr: 3.026e-04 eta: 21:27:29 time: 1.450 data_time: 0.040 memory: 7431 loss: 0.0439 2022/06/20 13:30:19 - mmengine - INFO - Iter(train) [65800/200000] lr: 3.024e-04 eta: 21:26:13 time: 0.492 data_time: 0.044 memory: 7433 loss: 0.0454 2022/06/20 13:31:07 - mmengine - INFO - Iter(train) [65900/200000] lr: 3.021e-04 eta: 21:24:55 time: 0.476 data_time: 0.052 memory: 7431 loss: 0.0442 2022/06/20 13:32:17 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 13:32:17 - mmengine - INFO - Iter(train) [66000/200000] lr: 3.018e-04 eta: 21:24:24 time: 0.558 data_time: 0.049 memory: 7432 loss: 0.0418 2022/06/20 13:33:05 - mmengine - INFO - Iter(train) [66100/200000] lr: 3.015e-04 eta: 21:23:07 time: 0.453 data_time: 0.047 memory: 7431 loss: 0.0462 2022/06/20 13:34:00 - mmengine - INFO - Iter(train) [66200/200000] lr: 3.013e-04 eta: 21:22:04 time: 0.490 data_time: 0.050 memory: 7432 loss: 0.0478 2022/06/20 13:35:00 - mmengine - INFO - Iter(train) [66300/200000] lr: 3.010e-04 eta: 21:21:12 time: 0.484 data_time: 0.059 memory: 7430 loss: 0.0440 2022/06/20 13:35:49 - mmengine - INFO - Iter(train) [66400/200000] lr: 3.007e-04 eta: 21:19:57 time: 0.494 data_time: 0.059 memory: 7432 loss: 0.0368 2022/06/20 13:36:40 - mmengine - INFO - Iter(train) [66500/200000] lr: 3.005e-04 eta: 21:18:47 time: 0.462 data_time: 0.044 memory: 7433 loss: 0.0397 2022/06/20 13:37:29 - mmengine - INFO - Iter(train) [66600/200000] lr: 3.002e-04 eta: 21:17:32 time: 0.506 data_time: 0.079 memory: 7430 loss: 0.0416 2022/06/20 13:38:17 - mmengine - INFO - Iter(train) [66700/200000] lr: 2.999e-04 eta: 21:16:16 time: 0.463 data_time: 0.050 memory: 7432 loss: 0.0442 2022/06/20 13:39:05 - mmengine - INFO - Iter(train) [66800/200000] lr: 2.996e-04 eta: 21:15:00 time: 0.487 data_time: 0.062 memory: 7432 loss: 0.0405 2022/06/20 13:40:06 - mmengine - INFO - Iter(train) [66900/200000] lr: 2.994e-04 eta: 21:14:08 time: 1.749 data_time: 1.334 memory: 7431 loss: 0.0380 2022/06/20 13:40:55 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 13:40:55 - mmengine - INFO - Iter(train) [67000/200000] lr: 2.991e-04 eta: 21:12:55 time: 0.462 data_time: 0.048 memory: 7432 loss: 0.0480 2022/06/20 13:41:59 - mmengine - INFO - Iter(train) [67100/200000] lr: 2.988e-04 eta: 21:12:10 time: 0.504 data_time: 0.064 memory: 7431 loss: 0.0449 2022/06/20 13:42:53 - mmengine - INFO - Iter(train) [67200/200000] lr: 2.985e-04 eta: 21:11:05 time: 0.943 data_time: 0.049 memory: 7431 loss: 0.0429 2022/06/20 13:43:41 - mmengine - INFO - Iter(train) [67300/200000] lr: 2.983e-04 eta: 21:09:50 time: 0.474 data_time: 0.047 memory: 7431 loss: 0.0466 2022/06/20 13:44:33 - mmengine - INFO - Iter(train) [67400/200000] lr: 2.980e-04 eta: 21:08:42 time: 0.455 data_time: 0.049 memory: 7431 loss: 0.0372 2022/06/20 13:45:27 - mmengine - INFO - Iter(train) [67500/200000] lr: 2.977e-04 eta: 21:07:38 time: 0.498 data_time: 0.064 memory: 7430 loss: 0.0416 2022/06/20 13:46:15 - mmengine - INFO - Iter(train) [67600/200000] lr: 2.975e-04 eta: 21:06:23 time: 0.507 data_time: 0.069 memory: 7432 loss: 0.0411 2022/06/20 13:47:07 - mmengine - INFO - Iter(train) [67700/200000] lr: 2.972e-04 eta: 21:05:13 time: 0.478 data_time: 0.057 memory: 7434 loss: 0.0466 2022/06/20 13:48:01 - mmengine - INFO - Iter(train) [67800/200000] lr: 2.969e-04 eta: 21:04:10 time: 0.952 data_time: 0.032 memory: 7432 loss: 0.0412 2022/06/20 13:48:57 - mmengine - INFO - Iter(train) [67900/200000] lr: 2.966e-04 eta: 21:03:09 time: 0.477 data_time: 0.048 memory: 7431 loss: 0.0417 2022/06/20 13:49:50 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 13:49:50 - mmengine - INFO - Iter(train) [68000/200000] lr: 2.964e-04 eta: 21:02:03 time: 0.450 data_time: 0.045 memory: 7429 loss: 0.0462 2022/06/20 13:50:36 - mmengine - INFO - Iter(train) [68100/200000] lr: 2.961e-04 eta: 21:00:45 time: 0.453 data_time: 0.038 memory: 7432 loss: 0.0433 2022/06/20 13:51:23 - mmengine - INFO - Iter(train) [68200/200000] lr: 2.958e-04 eta: 20:59:26 time: 0.464 data_time: 0.045 memory: 7431 loss: 0.0510 2022/06/20 13:52:13 - mmengine - INFO - Iter(train) [68300/200000] lr: 2.955e-04 eta: 20:58:15 time: 0.459 data_time: 0.038 memory: 7432 loss: 0.0438 2022/06/20 13:53:01 - mmengine - INFO - Iter(train) [68400/200000] lr: 2.953e-04 eta: 20:56:59 time: 0.469 data_time: 0.049 memory: 7431 loss: 0.0445 2022/06/20 13:53:53 - mmengine - INFO - Iter(train) [68500/200000] lr: 2.950e-04 eta: 20:55:51 time: 0.529 data_time: 0.035 memory: 7435 loss: 0.0450 2022/06/20 13:54:43 - mmengine - INFO - Iter(train) [68600/200000] lr: 2.947e-04 eta: 20:54:41 time: 0.489 data_time: 0.053 memory: 7430 loss: 0.0426 2022/06/20 13:55:30 - mmengine - INFO - Iter(train) [68700/200000] lr: 2.944e-04 eta: 20:53:23 time: 0.471 data_time: 0.042 memory: 7431 loss: 0.0503 2022/06/20 13:56:16 - mmengine - INFO - Iter(train) [68800/200000] lr: 2.941e-04 eta: 20:52:06 time: 0.456 data_time: 0.053 memory: 7430 loss: 0.0453 2022/06/20 13:57:03 - mmengine - INFO - Iter(train) [68900/200000] lr: 2.939e-04 eta: 20:50:49 time: 0.455 data_time: 0.043 memory: 7432 loss: 0.0450 2022/06/20 13:57:53 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 13:57:53 - mmengine - INFO - Iter(train) [69000/200000] lr: 2.936e-04 eta: 20:49:38 time: 0.469 data_time: 0.056 memory: 7429 loss: 0.0395 2022/06/20 13:58:44 - mmengine - INFO - Iter(train) [69100/200000] lr: 2.933e-04 eta: 20:48:28 time: 0.466 data_time: 0.044 memory: 7433 loss: 0.0485 2022/06/20 13:59:32 - mmengine - INFO - Iter(train) [69200/200000] lr: 2.930e-04 eta: 20:47:12 time: 0.470 data_time: 0.049 memory: 7431 loss: 0.0468 2022/06/20 14:00:19 - mmengine - INFO - Iter(train) [69300/200000] lr: 2.928e-04 eta: 20:45:56 time: 0.476 data_time: 0.061 memory: 7430 loss: 0.0466 2022/06/20 14:01:10 - mmengine - INFO - Iter(train) [69400/200000] lr: 2.925e-04 eta: 20:44:48 time: 0.473 data_time: 0.040 memory: 7430 loss: 0.0398 2022/06/20 14:01:59 - mmengine - INFO - Iter(train) [69500/200000] lr: 2.922e-04 eta: 20:43:35 time: 0.451 data_time: 0.040 memory: 7431 loss: 0.0405 2022/06/20 14:02:52 - mmengine - INFO - Iter(train) [69600/200000] lr: 2.919e-04 eta: 20:42:30 time: 0.994 data_time: 0.040 memory: 7430 loss: 0.0467 2022/06/20 14:03:39 - mmengine - INFO - Iter(train) [69700/200000] lr: 2.916e-04 eta: 20:41:14 time: 0.472 data_time: 0.042 memory: 7435 loss: 0.0408 2022/06/20 14:04:26 - mmengine - INFO - Iter(train) [69800/200000] lr: 2.914e-04 eta: 20:39:57 time: 0.454 data_time: 0.041 memory: 7432 loss: 0.0374 2022/06/20 14:05:19 - mmengine - INFO - Iter(train) [69900/200000] lr: 2.911e-04 eta: 20:38:52 time: 0.511 data_time: 0.060 memory: 7433 loss: 0.0425 2022/06/20 14:06:06 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 14:06:07 - mmengine - INFO - Iter(train) [70000/200000] lr: 2.908e-04 eta: 20:37:37 time: 0.494 data_time: 0.054 memory: 7432 loss: 0.0461 2022/06/20 14:06:07 - mmengine - INFO - Saving checkpoint at 70000 iterations 2022/06/20 14:07:08 - mmengine - INFO - Iter(val) [100/250] eta: 0:01:17 time: 0.515 data_time: 0.025 memory: 2343 2022/06/20 14:08:01 - mmengine - INFO - Iter(val) [200/250] eta: 0:00:24 time: 0.490 data_time: 0.028 memory: 2001 2022/06/20 14:08:29 - mmengine - INFO - Iter(val) [250/250] SAD: 46.1682 MattingMSE: 0.0140 GradientError: 23.1671 ConnectivityError: 45.1789 2022/06/20 14:09:21 - mmengine - INFO - Iter(train) [70100/200000] lr: 2.905e-04 eta: 20:36:31 time: 1.069 data_time: 0.641 memory: 7434 loss: 0.0437 2022/06/20 14:10:10 - mmengine - INFO - Iter(train) [70200/200000] lr: 2.902e-04 eta: 20:35:20 time: 0.488 data_time: 0.054 memory: 7431 loss: 0.0420 2022/06/20 14:10:58 - mmengine - INFO - Iter(train) [70300/200000] lr: 2.900e-04 eta: 20:34:05 time: 0.527 data_time: 0.053 memory: 7432 loss: 0.0406 2022/06/20 14:11:47 - mmengine - INFO - Iter(train) [70400/200000] lr: 2.897e-04 eta: 20:32:54 time: 0.520 data_time: 0.105 memory: 7431 loss: 0.0440 2022/06/20 14:12:37 - mmengine - INFO - Iter(train) [70500/200000] lr: 2.894e-04 eta: 20:31:43 time: 0.451 data_time: 0.044 memory: 7432 loss: 0.0463 2022/06/20 14:13:30 - mmengine - INFO - Iter(train) [70600/200000] lr: 2.891e-04 eta: 20:30:37 time: 0.490 data_time: 0.048 memory: 7431 loss: 0.0416 2022/06/20 14:14:23 - mmengine - INFO - Iter(train) [70700/200000] lr: 2.888e-04 eta: 20:29:34 time: 0.460 data_time: 0.044 memory: 7431 loss: 0.0438 2022/06/20 14:15:13 - mmengine - INFO - Iter(train) [70800/200000] lr: 2.886e-04 eta: 20:28:23 time: 0.484 data_time: 0.042 memory: 7432 loss: 0.0479 2022/06/20 14:16:01 - mmengine - INFO - Iter(train) [70900/200000] lr: 2.883e-04 eta: 20:27:10 time: 0.470 data_time: 0.049 memory: 7433 loss: 0.0407 2022/06/20 14:16:54 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 14:16:54 - mmengine - INFO - Iter(train) [71000/200000] lr: 2.880e-04 eta: 20:26:06 time: 1.041 data_time: 0.640 memory: 7433 loss: 0.0411 2022/06/20 14:17:44 - mmengine - INFO - Iter(train) [71100/200000] lr: 2.877e-04 eta: 20:24:55 time: 0.471 data_time: 0.050 memory: 7432 loss: 0.0451 2022/06/20 14:18:33 - mmengine - INFO - Iter(train) [71200/200000] lr: 2.874e-04 eta: 20:23:43 time: 0.479 data_time: 0.048 memory: 7431 loss: 0.0423 2022/06/20 14:19:27 - mmengine - INFO - Iter(train) [71300/200000] lr: 2.871e-04 eta: 20:22:42 time: 0.690 data_time: 0.036 memory: 7430 loss: 0.0454 2022/06/20 14:20:18 - mmengine - INFO - Iter(train) [71400/200000] lr: 2.869e-04 eta: 20:21:33 time: 0.481 data_time: 0.052 memory: 7432 loss: 0.0470 2022/06/20 14:21:12 - mmengine - INFO - Iter(train) [71500/200000] lr: 2.866e-04 eta: 20:20:32 time: 0.464 data_time: 0.046 memory: 7434 loss: 0.0389 2022/06/20 14:21:59 - mmengine - INFO - Iter(train) [71600/200000] lr: 2.863e-04 eta: 20:19:17 time: 0.475 data_time: 0.055 memory: 7429 loss: 0.0424 2022/06/20 14:22:51 - mmengine - INFO - Iter(train) [71700/200000] lr: 2.860e-04 eta: 20:18:10 time: 0.514 data_time: 0.048 memory: 7432 loss: 0.0572 2022/06/20 14:23:48 - mmengine - INFO - Iter(train) [71800/200000] lr: 2.857e-04 eta: 20:17:14 time: 1.042 data_time: 0.630 memory: 7433 loss: 0.0373 2022/06/20 14:24:42 - mmengine - INFO - Iter(train) [71900/200000] lr: 2.854e-04 eta: 20:16:12 time: 0.518 data_time: 0.054 memory: 7430 loss: 0.0439 2022/06/20 14:25:35 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 14:25:35 - mmengine - INFO - Iter(train) [72000/200000] lr: 2.852e-04 eta: 20:15:06 time: 0.481 data_time: 0.049 memory: 7433 loss: 0.0416 2022/06/20 14:26:23 - mmengine - INFO - Iter(train) [72100/200000] lr: 2.849e-04 eta: 20:13:55 time: 0.484 data_time: 0.047 memory: 7430 loss: 0.0400 2022/06/20 14:27:19 - mmengine - INFO - Iter(train) [72200/200000] lr: 2.846e-04 eta: 20:12:56 time: 0.488 data_time: 0.045 memory: 7432 loss: 0.0387 2022/06/20 14:28:07 - mmengine - INFO - Iter(train) [72300/200000] lr: 2.843e-04 eta: 20:11:43 time: 0.475 data_time: 0.048 memory: 7433 loss: 0.0430 2022/06/20 14:28:55 - mmengine - INFO - Iter(train) [72400/200000] lr: 2.840e-04 eta: 20:10:30 time: 0.483 data_time: 0.047 memory: 7432 loss: 0.0470 2022/06/20 14:29:58 - mmengine - INFO - Iter(train) [72500/200000] lr: 2.837e-04 eta: 20:09:44 time: 0.488 data_time: 0.066 memory: 7435 loss: 0.0376 2022/06/20 14:30:47 - mmengine - INFO - Iter(train) [72600/200000] lr: 2.834e-04 eta: 20:08:32 time: 0.447 data_time: 0.034 memory: 7432 loss: 0.0389 2022/06/20 14:31:34 - mmengine - INFO - Iter(train) [72700/200000] lr: 2.832e-04 eta: 20:07:18 time: 0.446 data_time: 0.033 memory: 7431 loss: 0.0397 2022/06/20 14:32:30 - mmengine - INFO - Iter(train) [72800/200000] lr: 2.829e-04 eta: 20:06:19 time: 0.462 data_time: 0.049 memory: 7432 loss: 0.0404 2022/06/20 14:33:27 - mmengine - INFO - Iter(train) [72900/200000] lr: 2.826e-04 eta: 20:05:23 time: 0.486 data_time: 0.066 memory: 7432 loss: 0.0426 2022/06/20 14:34:21 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 14:34:21 - mmengine - INFO - Iter(train) [73000/200000] lr: 2.823e-04 eta: 20:04:20 time: 0.585 data_time: 0.061 memory: 7435 loss: 0.0436 2022/06/20 14:35:19 - mmengine - INFO - Iter(train) [73100/200000] lr: 2.820e-04 eta: 20:03:25 time: 0.470 data_time: 0.052 memory: 7431 loss: 0.0403 2022/06/20 14:36:08 - mmengine - INFO - Iter(train) [73200/200000] lr: 2.817e-04 eta: 20:02:14 time: 0.614 data_time: 0.043 memory: 7434 loss: 0.0411 2022/06/20 14:36:55 - mmengine - INFO - Iter(train) [73300/200000] lr: 2.814e-04 eta: 20:01:00 time: 0.482 data_time: 0.035 memory: 7430 loss: 0.0427 2022/06/20 14:37:43 - mmengine - INFO - Iter(train) [73400/200000] lr: 2.812e-04 eta: 19:59:49 time: 0.476 data_time: 0.047 memory: 7430 loss: 0.0438 2022/06/20 14:38:41 - mmengine - INFO - Iter(train) [73500/200000] lr: 2.809e-04 eta: 19:58:54 time: 0.456 data_time: 0.040 memory: 7432 loss: 0.0402 2022/06/20 14:39:36 - mmengine - INFO - Iter(train) [73600/200000] lr: 2.806e-04 eta: 19:57:53 time: 0.461 data_time: 0.056 memory: 7432 loss: 0.0387 2022/06/20 14:40:29 - mmengine - INFO - Iter(train) [73700/200000] lr: 2.803e-04 eta: 19:56:49 time: 1.146 data_time: 0.063 memory: 7430 loss: 0.0430 2022/06/20 14:41:22 - mmengine - INFO - Iter(train) [73800/200000] lr: 2.800e-04 eta: 19:55:46 time: 0.462 data_time: 0.044 memory: 7431 loss: 0.0383 2022/06/20 14:42:12 - mmengine - INFO - Iter(train) [73900/200000] lr: 2.797e-04 eta: 19:54:38 time: 0.487 data_time: 0.043 memory: 7431 loss: 0.0465 2022/06/20 14:43:11 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 14:43:11 - mmengine - INFO - Iter(train) [74000/200000] lr: 2.794e-04 eta: 19:53:45 time: 0.521 data_time: 0.063 memory: 7430 loss: 0.0394 2022/06/20 14:44:01 - mmengine - INFO - Iter(train) [74100/200000] lr: 2.791e-04 eta: 19:52:35 time: 0.664 data_time: 0.044 memory: 7430 loss: 0.0434 2022/06/20 14:44:54 - mmengine - INFO - Iter(train) [74200/200000] lr: 2.789e-04 eta: 19:51:32 time: 0.481 data_time: 0.042 memory: 7432 loss: 0.0395 2022/06/20 14:45:45 - mmengine - INFO - Iter(train) [74300/200000] lr: 2.786e-04 eta: 19:50:26 time: 0.462 data_time: 0.049 memory: 7433 loss: 0.0438 2022/06/20 14:46:32 - mmengine - INFO - Iter(train) [74400/200000] lr: 2.783e-04 eta: 19:49:12 time: 0.478 data_time: 0.040 memory: 7432 loss: 0.0414 2022/06/20 14:47:19 - mmengine - INFO - Iter(train) [74500/200000] lr: 2.780e-04 eta: 19:47:59 time: 0.485 data_time: 0.067 memory: 7429 loss: 0.0411 2022/06/20 14:48:12 - mmengine - INFO - Iter(train) [74600/200000] lr: 2.777e-04 eta: 19:46:55 time: 0.481 data_time: 0.043 memory: 7430 loss: 0.0435 2022/06/20 14:49:00 - mmengine - INFO - Iter(train) [74700/200000] lr: 2.774e-04 eta: 19:45:44 time: 0.458 data_time: 0.047 memory: 7429 loss: 0.0429 2022/06/20 14:49:47 - mmengine - INFO - Iter(train) [74800/200000] lr: 2.771e-04 eta: 19:44:31 time: 0.451 data_time: 0.042 memory: 7431 loss: 0.0441 2022/06/20 14:50:38 - mmengine - INFO - Iter(train) [74900/200000] lr: 2.768e-04 eta: 19:43:25 time: 0.457 data_time: 0.040 memory: 7431 loss: 0.0428 2022/06/20 14:51:32 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 14:51:32 - mmengine - INFO - Iter(train) [75000/200000] lr: 2.765e-04 eta: 19:42:23 time: 0.459 data_time: 0.044 memory: 7434 loss: 0.0399 2022/06/20 14:52:21 - mmengine - INFO - Iter(train) [75100/200000] lr: 2.762e-04 eta: 19:41:14 time: 0.485 data_time: 0.046 memory: 7430 loss: 0.0422 2022/06/20 14:53:08 - mmengine - INFO - Iter(train) [75200/200000] lr: 2.760e-04 eta: 19:40:01 time: 0.456 data_time: 0.036 memory: 7429 loss: 0.0378 2022/06/20 14:53:56 - mmengine - INFO - Iter(train) [75300/200000] lr: 2.757e-04 eta: 19:38:49 time: 0.487 data_time: 0.035 memory: 7430 loss: 0.0413 2022/06/20 14:54:43 - mmengine - INFO - Iter(train) [75400/200000] lr: 2.754e-04 eta: 19:37:36 time: 0.471 data_time: 0.047 memory: 7430 loss: 0.0430 2022/06/20 14:55:31 - mmengine - INFO - Iter(train) [75500/200000] lr: 2.751e-04 eta: 19:36:24 time: 0.476 data_time: 0.051 memory: 7430 loss: 0.0430 2022/06/20 14:56:18 - mmengine - INFO - Iter(train) [75600/200000] lr: 2.748e-04 eta: 19:35:12 time: 0.460 data_time: 0.039 memory: 7430 loss: 0.0417 2022/06/20 14:57:07 - mmengine - INFO - Iter(train) [75700/200000] lr: 2.745e-04 eta: 19:34:02 time: 0.470 data_time: 0.057 memory: 7431 loss: 0.0439 2022/06/20 14:57:55 - mmengine - INFO - Iter(train) [75800/200000] lr: 2.742e-04 eta: 19:32:52 time: 0.457 data_time: 0.040 memory: 7432 loss: 0.0438 2022/06/20 14:58:42 - mmengine - INFO - Iter(train) [75900/200000] lr: 2.739e-04 eta: 19:31:39 time: 0.469 data_time: 0.039 memory: 7430 loss: 0.0447 2022/06/20 14:59:28 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 14:59:28 - mmengine - INFO - Iter(train) [76000/200000] lr: 2.736e-04 eta: 19:30:26 time: 0.457 data_time: 0.050 memory: 7430 loss: 0.0391 2022/06/20 15:00:17 - mmengine - INFO - Iter(train) [76100/200000] lr: 2.733e-04 eta: 19:29:16 time: 0.482 data_time: 0.064 memory: 7430 loss: 0.0373 2022/06/20 15:01:04 - mmengine - INFO - Iter(train) [76200/200000] lr: 2.730e-04 eta: 19:28:04 time: 0.476 data_time: 0.045 memory: 7432 loss: 0.0448 2022/06/20 15:01:52 - mmengine - INFO - Iter(train) [76300/200000] lr: 2.728e-04 eta: 19:26:53 time: 0.455 data_time: 0.041 memory: 7431 loss: 0.0436 2022/06/20 15:02:43 - mmengine - INFO - Iter(train) [76400/200000] lr: 2.725e-04 eta: 19:25:48 time: 0.878 data_time: 0.037 memory: 7431 loss: 0.0389 2022/06/20 15:03:31 - mmengine - INFO - Iter(train) [76500/200000] lr: 2.722e-04 eta: 19:24:36 time: 0.472 data_time: 0.051 memory: 7432 loss: 0.0430 2022/06/20 15:04:18 - mmengine - INFO - Iter(train) [76600/200000] lr: 2.719e-04 eta: 19:23:24 time: 0.460 data_time: 0.056 memory: 7429 loss: 0.0434 2022/06/20 15:05:04 - mmengine - INFO - Iter(train) [76700/200000] lr: 2.716e-04 eta: 19:22:12 time: 0.463 data_time: 0.046 memory: 7430 loss: 0.0386 2022/06/20 15:05:54 - mmengine - INFO - Iter(train) [76800/200000] lr: 2.713e-04 eta: 19:21:04 time: 0.448 data_time: 0.030 memory: 7434 loss: 0.0398 2022/06/20 15:06:48 - mmengine - INFO - Iter(train) [76900/200000] lr: 2.710e-04 eta: 19:20:03 time: 0.994 data_time: 0.042 memory: 7432 loss: 0.0438 2022/06/20 15:07:38 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 15:07:38 - mmengine - INFO - Iter(train) [77000/200000] lr: 2.707e-04 eta: 19:18:56 time: 0.486 data_time: 0.040 memory: 7432 loss: 0.0390 2022/06/20 15:08:26 - mmengine - INFO - Iter(train) [77100/200000] lr: 2.704e-04 eta: 19:17:46 time: 0.468 data_time: 0.044 memory: 7429 loss: 0.0386 2022/06/20 15:09:13 - mmengine - INFO - Iter(train) [77200/200000] lr: 2.701e-04 eta: 19:16:34 time: 0.471 data_time: 0.050 memory: 7432 loss: 0.0426 2022/06/20 15:10:00 - mmengine - INFO - Iter(train) [77300/200000] lr: 2.698e-04 eta: 19:15:23 time: 0.458 data_time: 0.037 memory: 7430 loss: 0.0420 2022/06/20 15:10:54 - mmengine - INFO - Iter(train) [77400/200000] lr: 2.695e-04 eta: 19:14:22 time: 1.124 data_time: 0.040 memory: 7431 loss: 0.0444 2022/06/20 15:11:39 - mmengine - INFO - Iter(train) [77500/200000] lr: 2.692e-04 eta: 19:13:08 time: 0.445 data_time: 0.045 memory: 7431 loss: 0.0460 2022/06/20 15:12:26 - mmengine - INFO - Iter(train) [77600/200000] lr: 2.689e-04 eta: 19:11:55 time: 0.457 data_time: 0.028 memory: 7430 loss: 0.0421 2022/06/20 15:13:15 - mmengine - INFO - Iter(train) [77700/200000] lr: 2.686e-04 eta: 19:10:47 time: 0.462 data_time: 0.049 memory: 7430 loss: 0.0446 2022/06/20 15:14:01 - mmengine - INFO - Iter(train) [77800/200000] lr: 2.683e-04 eta: 19:09:34 time: 0.447 data_time: 0.032 memory: 7430 loss: 0.0416 2022/06/20 15:14:46 - mmengine - INFO - Iter(train) [77900/200000] lr: 2.680e-04 eta: 19:08:20 time: 0.441 data_time: 0.036 memory: 7431 loss: 0.0421 2022/06/20 15:15:42 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 15:15:42 - mmengine - INFO - Iter(train) [78000/200000] lr: 2.678e-04 eta: 19:07:23 time: 0.515 data_time: 0.066 memory: 7432 loss: 0.0436 2022/06/20 15:16:41 - mmengine - INFO - Iter(train) [78100/200000] lr: 2.675e-04 eta: 19:06:30 time: 0.760 data_time: 0.055 memory: 7431 loss: 0.0415 2022/06/20 15:17:34 - mmengine - INFO - Iter(train) [78200/200000] lr: 2.672e-04 eta: 19:05:28 time: 0.577 data_time: 0.056 memory: 7431 loss: 0.0404 2022/06/20 15:18:27 - mmengine - INFO - Iter(train) [78300/200000] lr: 2.669e-04 eta: 19:04:27 time: 0.539 data_time: 0.080 memory: 7430 loss: 0.0398 2022/06/20 15:19:18 - mmengine - INFO - Iter(train) [78400/200000] lr: 2.666e-04 eta: 19:03:22 time: 0.482 data_time: 0.049 memory: 7433 loss: 0.0454 2022/06/20 15:20:15 - mmengine - INFO - Iter(train) [78500/200000] lr: 2.663e-04 eta: 19:02:26 time: 0.527 data_time: 0.063 memory: 7431 loss: 0.0381 2022/06/20 15:21:10 - mmengine - INFO - Iter(train) [78600/200000] lr: 2.660e-04 eta: 19:01:28 time: 0.582 data_time: 0.080 memory: 7431 loss: 0.0434 2022/06/20 15:22:09 - mmengine - INFO - Iter(train) [78700/200000] lr: 2.657e-04 eta: 19:00:35 time: 0.816 data_time: 0.054 memory: 7428 loss: 0.0423 2022/06/20 15:23:00 - mmengine - INFO - Iter(train) [78800/200000] lr: 2.654e-04 eta: 18:59:30 time: 0.459 data_time: 0.039 memory: 7430 loss: 0.0425 2022/06/20 15:23:47 - mmengine - INFO - Iter(train) [78900/200000] lr: 2.651e-04 eta: 18:58:20 time: 0.479 data_time: 0.041 memory: 7433 loss: 0.0383 2022/06/20 15:24:35 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 15:24:35 - mmengine - INFO - Iter(train) [79000/200000] lr: 2.648e-04 eta: 18:57:10 time: 0.469 data_time: 0.041 memory: 7432 loss: 0.0413 2022/06/20 15:25:26 - mmengine - INFO - Iter(train) [79100/200000] lr: 2.645e-04 eta: 18:56:06 time: 0.472 data_time: 0.064 memory: 7434 loss: 0.0395 2022/06/20 15:26:14 - mmengine - INFO - Iter(train) [79200/200000] lr: 2.642e-04 eta: 18:54:56 time: 0.463 data_time: 0.051 memory: 7431 loss: 0.0397 2022/06/20 15:27:00 - mmengine - INFO - Iter(train) [79300/200000] lr: 2.639e-04 eta: 18:53:44 time: 0.444 data_time: 0.045 memory: 7433 loss: 0.0408 2022/06/20 15:27:53 - mmengine - INFO - Iter(train) [79400/200000] lr: 2.636e-04 eta: 18:52:42 time: 0.470 data_time: 0.044 memory: 7431 loss: 0.0440 2022/06/20 15:28:43 - mmengine - INFO - Iter(train) [79500/200000] lr: 2.633e-04 eta: 18:51:36 time: 0.467 data_time: 0.041 memory: 7430 loss: 0.0427 2022/06/20 15:29:35 - mmengine - INFO - Iter(train) [79600/200000] lr: 2.630e-04 eta: 18:50:33 time: 0.453 data_time: 0.039 memory: 7431 loss: 0.0394 2022/06/20 15:30:25 - mmengine - INFO - Iter(train) [79700/200000] lr: 2.627e-04 eta: 18:49:27 time: 0.472 data_time: 0.051 memory: 7430 loss: 0.0413 2022/06/20 15:31:12 - mmengine - INFO - Iter(train) [79800/200000] lr: 2.624e-04 eta: 18:48:16 time: 0.483 data_time: 0.042 memory: 7430 loss: 0.0376 2022/06/20 15:31:58 - mmengine - INFO - Iter(train) [79900/200000] lr: 2.621e-04 eta: 18:47:04 time: 0.457 data_time: 0.040 memory: 7433 loss: 0.0413 2022/06/20 15:32:45 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 15:32:45 - mmengine - INFO - Iter(train) [80000/200000] lr: 2.618e-04 eta: 18:45:55 time: 0.466 data_time: 0.042 memory: 7432 loss: 0.0389 2022/06/20 15:32:45 - mmengine - INFO - Saving checkpoint at 80000 iterations 2022/06/20 15:33:44 - mmengine - INFO - Iter(val) [100/250] eta: 0:01:14 time: 0.499 data_time: 0.026 memory: 2343 2022/06/20 15:34:31 - mmengine - INFO - Iter(val) [200/250] eta: 0:00:24 time: 0.494 data_time: 0.026 memory: 2000 2022/06/20 15:34:58 - mmengine - INFO - Iter(val) [250/250] SAD: 36.7784 MattingMSE: 0.0087 GradientError: 18.4212 ConnectivityError: 34.3473 2022/06/20 15:35:45 - mmengine - INFO - Iter(train) [80100/200000] lr: 2.615e-04 eta: 18:44:44 time: 0.462 data_time: 0.058 memory: 7431 loss: 0.0406 2022/06/20 15:36:34 - mmengine - INFO - Iter(train) [80200/200000] lr: 2.612e-04 eta: 18:43:38 time: 0.469 data_time: 0.042 memory: 7433 loss: 0.0416 2022/06/20 15:37:22 - mmengine - INFO - Iter(train) [80300/200000] lr: 2.609e-04 eta: 18:42:30 time: 0.438 data_time: 0.041 memory: 7431 loss: 0.0452 2022/06/20 15:38:10 - mmengine - INFO - Iter(train) [80400/200000] lr: 2.606e-04 eta: 18:41:21 time: 0.505 data_time: 0.057 memory: 7432 loss: 0.0436 2022/06/20 15:38:58 - mmengine - INFO - Iter(train) [80500/200000] lr: 2.603e-04 eta: 18:40:12 time: 0.472 data_time: 0.049 memory: 7433 loss: 0.0404 2022/06/20 15:39:58 - mmengine - INFO - Iter(train) [80600/200000] lr: 2.600e-04 eta: 18:39:21 time: 0.547 data_time: 0.091 memory: 7431 loss: 0.0415 2022/06/20 15:40:56 - mmengine - INFO - Iter(train) [80700/200000] lr: 2.597e-04 eta: 18:38:28 time: 0.507 data_time: 0.067 memory: 7434 loss: 0.0405 2022/06/20 15:41:56 - mmengine - INFO - Iter(train) [80800/200000] lr: 2.594e-04 eta: 18:37:36 time: 0.569 data_time: 0.063 memory: 7430 loss: 0.0482 2022/06/20 15:42:51 - mmengine - INFO - Iter(train) [80900/200000] lr: 2.591e-04 eta: 18:36:38 time: 0.570 data_time: 0.071 memory: 7432 loss: 0.0440 2022/06/20 15:43:47 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 15:43:47 - mmengine - INFO - Iter(train) [81000/200000] lr: 2.588e-04 eta: 18:35:42 time: 0.500 data_time: 0.063 memory: 7435 loss: 0.0402 2022/06/20 15:44:41 - mmengine - INFO - Iter(train) [81100/200000] lr: 2.585e-04 eta: 18:34:42 time: 0.528 data_time: 0.071 memory: 7431 loss: 0.0435 2022/06/20 15:45:36 - mmengine - INFO - Iter(train) [81200/200000] lr: 2.582e-04 eta: 18:33:43 time: 0.497 data_time: 0.060 memory: 7430 loss: 0.0473 2022/06/20 15:46:34 - mmengine - INFO - Iter(train) [81300/200000] lr: 2.579e-04 eta: 18:32:50 time: 0.540 data_time: 0.074 memory: 7432 loss: 0.0438 2022/06/20 15:47:25 - mmengine - INFO - Iter(train) [81400/200000] lr: 2.576e-04 eta: 18:31:46 time: 0.754 data_time: 0.044 memory: 7431 loss: 0.0403 2022/06/20 15:48:13 - mmengine - INFO - Iter(train) [81500/200000] lr: 2.573e-04 eta: 18:30:39 time: 0.486 data_time: 0.046 memory: 7432 loss: 0.0382 2022/06/20 15:49:01 - mmengine - INFO - Iter(train) [81600/200000] lr: 2.570e-04 eta: 18:29:30 time: 0.484 data_time: 0.053 memory: 7430 loss: 0.0398 2022/06/20 15:49:49 - mmengine - INFO - Iter(train) [81700/200000] lr: 2.567e-04 eta: 18:28:22 time: 0.579 data_time: 0.040 memory: 7431 loss: 0.0450 2022/06/20 15:50:37 - mmengine - INFO - Iter(train) [81800/200000] lr: 2.564e-04 eta: 18:27:13 time: 0.455 data_time: 0.041 memory: 7434 loss: 0.0359 2022/06/20 15:51:24 - mmengine - INFO - Iter(train) [81900/200000] lr: 2.561e-04 eta: 18:26:03 time: 0.475 data_time: 0.037 memory: 7432 loss: 0.0362 2022/06/20 15:52:15 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 15:52:15 - mmengine - INFO - Iter(train) [82000/200000] lr: 2.558e-04 eta: 18:25:00 time: 0.487 data_time: 0.057 memory: 7434 loss: 0.0421 2022/06/20 15:53:06 - mmengine - INFO - Iter(train) [82100/200000] lr: 2.555e-04 eta: 18:23:57 time: 0.454 data_time: 0.049 memory: 7433 loss: 0.0415 2022/06/20 15:53:54 - mmengine - INFO - Iter(train) [82200/200000] lr: 2.552e-04 eta: 18:22:49 time: 0.463 data_time: 0.038 memory: 7430 loss: 0.0385 2022/06/20 15:54:40 - mmengine - INFO - Iter(train) [82300/200000] lr: 2.549e-04 eta: 18:21:38 time: 0.464 data_time: 0.030 memory: 7433 loss: 0.0441 2022/06/20 15:55:29 - mmengine - INFO - Iter(train) [82400/200000] lr: 2.546e-04 eta: 18:20:31 time: 0.464 data_time: 0.038 memory: 7432 loss: 0.0409 2022/06/20 15:56:14 - mmengine - INFO - Iter(train) [82500/200000] lr: 2.543e-04 eta: 18:19:19 time: 0.464 data_time: 0.039 memory: 7431 loss: 0.0400 2022/06/20 15:57:00 - mmengine - INFO - Iter(train) [82600/200000] lr: 2.540e-04 eta: 18:18:09 time: 0.449 data_time: 0.039 memory: 7433 loss: 0.0408 2022/06/20 15:57:47 - mmengine - INFO - Iter(train) [82700/200000] lr: 2.537e-04 eta: 18:16:59 time: 0.451 data_time: 0.037 memory: 7431 loss: 0.0400 2022/06/20 15:58:39 - mmengine - INFO - Iter(train) [82800/200000] lr: 2.534e-04 eta: 18:15:57 time: 0.593 data_time: 0.041 memory: 7432 loss: 0.0380 2022/06/20 15:59:32 - mmengine - INFO - Iter(train) [82900/200000] lr: 2.531e-04 eta: 18:14:57 time: 0.909 data_time: 0.119 memory: 7429 loss: 0.0409 2022/06/20 16:00:18 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 16:00:18 - mmengine - INFO - Iter(train) [83000/200000] lr: 2.528e-04 eta: 18:13:46 time: 0.443 data_time: 0.041 memory: 7432 loss: 0.0384 2022/06/20 16:01:05 - mmengine - INFO - Iter(train) [83100/200000] lr: 2.525e-04 eta: 18:12:38 time: 0.447 data_time: 0.039 memory: 7430 loss: 0.0441 2022/06/20 16:01:55 - mmengine - INFO - Iter(train) [83200/200000] lr: 2.522e-04 eta: 18:11:32 time: 0.606 data_time: 0.161 memory: 7432 loss: 0.0379 2022/06/20 16:02:41 - mmengine - INFO - Iter(train) [83300/200000] lr: 2.519e-04 eta: 18:10:23 time: 0.481 data_time: 0.075 memory: 7431 loss: 0.0454 2022/06/20 16:03:29 - mmengine - INFO - Iter(train) [83400/200000] lr: 2.516e-04 eta: 18:09:15 time: 0.473 data_time: 0.033 memory: 7430 loss: 0.0369 2022/06/20 16:04:22 - mmengine - INFO - Iter(train) [83500/200000] lr: 2.513e-04 eta: 18:08:15 time: 0.454 data_time: 0.036 memory: 7434 loss: 0.0413 2022/06/20 16:05:12 - mmengine - INFO - Iter(train) [83600/200000] lr: 2.510e-04 eta: 18:07:10 time: 0.455 data_time: 0.043 memory: 7431 loss: 0.0449 2022/06/20 16:05:59 - mmengine - INFO - Iter(train) [83700/200000] lr: 2.507e-04 eta: 18:06:02 time: 0.464 data_time: 0.046 memory: 7432 loss: 0.0348 2022/06/20 16:06:48 - mmengine - INFO - Iter(train) [83800/200000] lr: 2.503e-04 eta: 18:04:56 time: 0.749 data_time: 0.195 memory: 7431 loss: 0.0395 2022/06/20 16:07:36 - mmengine - INFO - Iter(train) [83900/200000] lr: 2.500e-04 eta: 18:03:48 time: 0.494 data_time: 0.047 memory: 7430 loss: 0.0448 2022/06/20 16:08:22 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 16:08:22 - mmengine - INFO - Iter(train) [84000/200000] lr: 2.497e-04 eta: 18:02:39 time: 0.459 data_time: 0.040 memory: 7433 loss: 0.0410 2022/06/20 16:09:10 - mmengine - INFO - Iter(train) [84100/200000] lr: 2.494e-04 eta: 18:01:32 time: 0.451 data_time: 0.040 memory: 7432 loss: 0.0406 2022/06/20 16:10:02 - mmengine - INFO - Iter(train) [84200/200000] lr: 2.491e-04 eta: 18:00:30 time: 0.502 data_time: 0.058 memory: 7432 loss: 0.0412 2022/06/20 16:10:57 - mmengine - INFO - Iter(train) [84300/200000] lr: 2.488e-04 eta: 17:59:32 time: 0.521 data_time: 0.058 memory: 7433 loss: 0.0394 2022/06/20 16:11:44 - mmengine - INFO - Iter(train) [84400/200000] lr: 2.485e-04 eta: 17:58:24 time: 0.483 data_time: 0.049 memory: 7433 loss: 0.0344 2022/06/20 16:12:33 - mmengine - INFO - Iter(train) [84500/200000] lr: 2.482e-04 eta: 17:57:19 time: 0.458 data_time: 0.044 memory: 7430 loss: 0.0393 2022/06/20 16:13:20 - mmengine - INFO - Iter(train) [84600/200000] lr: 2.479e-04 eta: 17:56:10 time: 0.478 data_time: 0.040 memory: 7431 loss: 0.0358 2022/06/20 16:14:12 - mmengine - INFO - Iter(train) [84700/200000] lr: 2.476e-04 eta: 17:55:09 time: 0.485 data_time: 0.047 memory: 7433 loss: 0.0398 2022/06/20 16:15:00 - mmengine - INFO - Iter(train) [84800/200000] lr: 2.473e-04 eta: 17:54:02 time: 0.456 data_time: 0.053 memory: 7432 loss: 0.0434 2022/06/20 16:15:46 - mmengine - INFO - Iter(train) [84900/200000] lr: 2.470e-04 eta: 17:52:53 time: 0.469 data_time: 0.045 memory: 7433 loss: 0.0394 2022/06/20 16:16:33 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 16:16:33 - mmengine - INFO - Iter(train) [85000/200000] lr: 2.467e-04 eta: 17:51:45 time: 0.457 data_time: 0.044 memory: 7431 loss: 0.0358 2022/06/20 16:17:20 - mmengine - INFO - Iter(train) [85100/200000] lr: 2.464e-04 eta: 17:50:37 time: 0.460 data_time: 0.042 memory: 7432 loss: 0.0376 2022/06/20 16:18:07 - mmengine - INFO - Iter(train) [85200/200000] lr: 2.461e-04 eta: 17:49:29 time: 0.443 data_time: 0.041 memory: 7432 loss: 0.0387 2022/06/20 16:18:53 - mmengine - INFO - Iter(train) [85300/200000] lr: 2.458e-04 eta: 17:48:20 time: 0.458 data_time: 0.041 memory: 7431 loss: 0.0362 2022/06/20 16:19:40 - mmengine - INFO - Iter(train) [85400/200000] lr: 2.455e-04 eta: 17:47:12 time: 0.473 data_time: 0.040 memory: 7433 loss: 0.0431 2022/06/20 16:20:27 - mmengine - INFO - Iter(train) [85500/200000] lr: 2.452e-04 eta: 17:46:04 time: 0.467 data_time: 0.052 memory: 7430 loss: 0.0421 2022/06/20 16:21:16 - mmengine - INFO - Iter(train) [85600/200000] lr: 2.449e-04 eta: 17:44:59 time: 0.474 data_time: 0.035 memory: 7432 loss: 0.0356 2022/06/20 16:22:02 - mmengine - INFO - Iter(train) [85700/200000] lr: 2.446e-04 eta: 17:43:49 time: 0.446 data_time: 0.044 memory: 7432 loss: 0.0417 2022/06/20 16:22:54 - mmengine - INFO - Iter(train) [85800/200000] lr: 2.442e-04 eta: 17:42:48 time: 0.462 data_time: 0.039 memory: 7431 loss: 0.0387 2022/06/20 16:23:41 - mmengine - INFO - Iter(train) [85900/200000] lr: 2.439e-04 eta: 17:41:41 time: 0.482 data_time: 0.046 memory: 7431 loss: 0.0384 2022/06/20 16:24:29 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 16:24:29 - mmengine - INFO - Iter(train) [86000/200000] lr: 2.436e-04 eta: 17:40:34 time: 0.563 data_time: 0.041 memory: 7432 loss: 0.0410 2022/06/20 16:25:17 - mmengine - INFO - Iter(train) [86100/200000] lr: 2.433e-04 eta: 17:39:28 time: 0.527 data_time: 0.042 memory: 7432 loss: 0.0407 2022/06/20 16:26:04 - mmengine - INFO - Iter(train) [86200/200000] lr: 2.430e-04 eta: 17:38:20 time: 0.477 data_time: 0.038 memory: 7431 loss: 0.0411 2022/06/20 16:26:53 - mmengine - INFO - Iter(train) [86300/200000] lr: 2.427e-04 eta: 17:37:16 time: 0.796 data_time: 0.368 memory: 7431 loss: 0.0408 2022/06/20 16:27:43 - mmengine - INFO - Iter(train) [86400/200000] lr: 2.424e-04 eta: 17:36:12 time: 0.473 data_time: 0.042 memory: 7434 loss: 0.0355 2022/06/20 16:28:30 - mmengine - INFO - Iter(train) [86500/200000] lr: 2.421e-04 eta: 17:35:05 time: 0.502 data_time: 0.038 memory: 7433 loss: 0.0416 2022/06/20 16:29:18 - mmengine - INFO - Iter(train) [86600/200000] lr: 2.418e-04 eta: 17:33:59 time: 0.480 data_time: 0.054 memory: 7430 loss: 0.0393 2022/06/20 16:30:04 - mmengine - INFO - Iter(train) [86700/200000] lr: 2.415e-04 eta: 17:32:51 time: 0.468 data_time: 0.043 memory: 7434 loss: 0.0456 2022/06/20 16:30:51 - mmengine - INFO - Iter(train) [86800/200000] lr: 2.412e-04 eta: 17:31:43 time: 0.474 data_time: 0.045 memory: 7432 loss: 0.0389 2022/06/20 16:31:38 - mmengine - INFO - Iter(train) [86900/200000] lr: 2.409e-04 eta: 17:30:35 time: 0.467 data_time: 0.038 memory: 7431 loss: 0.0426 2022/06/20 16:32:24 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 16:32:24 - mmengine - INFO - Iter(train) [87000/200000] lr: 2.406e-04 eta: 17:29:27 time: 0.468 data_time: 0.045 memory: 7432 loss: 0.0441 2022/06/20 16:33:09 - mmengine - INFO - Iter(train) [87100/200000] lr: 2.403e-04 eta: 17:28:18 time: 0.451 data_time: 0.038 memory: 7433 loss: 0.0384 2022/06/20 16:33:54 - mmengine - INFO - Iter(train) [87200/200000] lr: 2.399e-04 eta: 17:27:09 time: 0.450 data_time: 0.041 memory: 7431 loss: 0.0392 2022/06/20 16:34:40 - mmengine - INFO - Iter(train) [87300/200000] lr: 2.396e-04 eta: 17:26:00 time: 0.456 data_time: 0.055 memory: 7431 loss: 0.0394 2022/06/20 16:35:25 - mmengine - INFO - Iter(train) [87400/200000] lr: 2.393e-04 eta: 17:24:51 time: 0.459 data_time: 0.046 memory: 7432 loss: 0.0394 2022/06/20 16:36:11 - mmengine - INFO - Iter(train) [87500/200000] lr: 2.390e-04 eta: 17:23:42 time: 0.461 data_time: 0.048 memory: 7432 loss: 0.0478 2022/06/20 16:36:57 - mmengine - INFO - Iter(train) [87600/200000] lr: 2.387e-04 eta: 17:22:34 time: 0.504 data_time: 0.058 memory: 7431 loss: 0.0423 2022/06/20 16:37:42 - mmengine - INFO - Iter(train) [87700/200000] lr: 2.384e-04 eta: 17:21:25 time: 0.476 data_time: 0.036 memory: 7432 loss: 0.0367 2022/06/20 16:38:28 - mmengine - INFO - Iter(train) [87800/200000] lr: 2.381e-04 eta: 17:20:17 time: 0.447 data_time: 0.036 memory: 7434 loss: 0.0428 2022/06/20 16:39:13 - mmengine - INFO - Iter(train) [87900/200000] lr: 2.378e-04 eta: 17:19:08 time: 0.502 data_time: 0.047 memory: 7433 loss: 0.0434 2022/06/20 16:39:59 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 16:39:59 - mmengine - INFO - Iter(train) [88000/200000] lr: 2.375e-04 eta: 17:17:59 time: 0.443 data_time: 0.042 memory: 7432 loss: 0.0371 2022/06/20 16:40:46 - mmengine - INFO - Iter(train) [88100/200000] lr: 2.372e-04 eta: 17:16:53 time: 0.452 data_time: 0.048 memory: 7431 loss: 0.0381 2022/06/20 16:41:33 - mmengine - INFO - Iter(train) [88200/200000] lr: 2.369e-04 eta: 17:15:46 time: 0.458 data_time: 0.041 memory: 7432 loss: 0.0375 2022/06/20 16:42:20 - mmengine - INFO - Iter(train) [88300/200000] lr: 2.366e-04 eta: 17:14:39 time: 0.497 data_time: 0.042 memory: 7429 loss: 0.0379 2022/06/20 16:43:06 - mmengine - INFO - Iter(train) [88400/200000] lr: 2.362e-04 eta: 17:13:33 time: 0.480 data_time: 0.042 memory: 7433 loss: 0.0443 2022/06/20 16:43:54 - mmengine - INFO - Iter(train) [88500/200000] lr: 2.359e-04 eta: 17:12:27 time: 0.495 data_time: 0.057 memory: 7432 loss: 0.0387 2022/06/20 16:44:40 - mmengine - INFO - Iter(train) [88600/200000] lr: 2.356e-04 eta: 17:11:19 time: 0.473 data_time: 0.060 memory: 7435 loss: 0.0420 2022/06/20 16:45:26 - mmengine - INFO - Iter(train) [88700/200000] lr: 2.353e-04 eta: 17:10:12 time: 0.445 data_time: 0.035 memory: 7433 loss: 0.0422 2022/06/20 16:46:14 - mmengine - INFO - Iter(train) [88800/200000] lr: 2.350e-04 eta: 17:09:06 time: 0.469 data_time: 0.046 memory: 7430 loss: 0.0435 2022/06/20 16:47:00 - mmengine - INFO - Iter(train) [88900/200000] lr: 2.347e-04 eta: 17:08:00 time: 0.477 data_time: 0.050 memory: 7433 loss: 0.0387 2022/06/20 16:47:47 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 16:47:47 - mmengine - INFO - Iter(train) [89000/200000] lr: 2.344e-04 eta: 17:06:53 time: 0.481 data_time: 0.044 memory: 7434 loss: 0.0392 2022/06/20 16:48:35 - mmengine - INFO - Iter(train) [89100/200000] lr: 2.341e-04 eta: 17:05:49 time: 0.467 data_time: 0.040 memory: 7431 loss: 0.0421 2022/06/20 16:49:21 - mmengine - INFO - Iter(train) [89200/200000] lr: 2.338e-04 eta: 17:04:41 time: 0.455 data_time: 0.039 memory: 7432 loss: 0.0435 2022/06/20 16:50:08 - mmengine - INFO - Iter(train) [89300/200000] lr: 2.335e-04 eta: 17:03:35 time: 0.454 data_time: 0.032 memory: 7431 loss: 0.0397 2022/06/20 16:50:56 - mmengine - INFO - Iter(train) [89400/200000] lr: 2.332e-04 eta: 17:02:29 time: 0.488 data_time: 0.054 memory: 7432 loss: 0.0434 2022/06/20 16:51:42 - mmengine - INFO - Iter(train) [89500/200000] lr: 2.328e-04 eta: 17:01:23 time: 0.460 data_time: 0.052 memory: 7430 loss: 0.0394 2022/06/20 16:52:29 - mmengine - INFO - Iter(train) [89600/200000] lr: 2.325e-04 eta: 17:00:17 time: 0.449 data_time: 0.045 memory: 7432 loss: 0.0417 2022/06/20 16:53:16 - mmengine - INFO - Iter(train) [89700/200000] lr: 2.322e-04 eta: 16:59:11 time: 0.457 data_time: 0.040 memory: 7434 loss: 0.0358 2022/06/20 16:54:04 - mmengine - INFO - Iter(train) [89800/200000] lr: 2.319e-04 eta: 16:58:07 time: 0.462 data_time: 0.048 memory: 7433 loss: 0.0392 2022/06/20 16:54:51 - mmengine - INFO - Iter(train) [89900/200000] lr: 2.316e-04 eta: 16:57:00 time: 0.462 data_time: 0.046 memory: 7431 loss: 0.0421 2022/06/20 16:55:37 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 16:55:37 - mmengine - INFO - Iter(train) [90000/200000] lr: 2.313e-04 eta: 16:55:53 time: 0.465 data_time: 0.051 memory: 7431 loss: 0.0413 2022/06/20 16:55:37 - mmengine - INFO - Saving checkpoint at 90000 iterations 2022/06/20 16:56:33 - mmengine - INFO - Iter(val) [100/250] eta: 0:01:15 time: 0.501 data_time: 0.028 memory: 2344 2022/06/20 16:57:20 - mmengine - INFO - Iter(val) [200/250] eta: 0:00:24 time: 0.486 data_time: 0.027 memory: 1999 2022/06/20 16:57:47 - mmengine - INFO - Iter(val) [250/250] SAD: 40.2119 MattingMSE: 0.0103 GradientError: 19.4217 ConnectivityError: 38.4493 2022/06/20 16:58:33 - mmengine - INFO - Iter(train) [90100/200000] lr: 2.310e-04 eta: 16:54:47 time: 0.454 data_time: 0.032 memory: 7431 loss: 0.0361 2022/06/20 16:59:19 - mmengine - INFO - Iter(train) [90200/200000] lr: 2.307e-04 eta: 16:53:40 time: 0.456 data_time: 0.038 memory: 7430 loss: 0.0394 2022/06/20 17:00:08 - mmengine - INFO - Iter(train) [90300/200000] lr: 2.304e-04 eta: 16:52:36 time: 0.595 data_time: 0.049 memory: 7431 loss: 0.0428 2022/06/20 17:00:59 - mmengine - INFO - Iter(train) [90400/200000] lr: 2.300e-04 eta: 16:51:35 time: 0.473 data_time: 0.047 memory: 7431 loss: 0.0360 2022/06/20 17:01:46 - mmengine - INFO - Iter(train) [90500/200000] lr: 2.297e-04 eta: 16:50:30 time: 0.472 data_time: 0.042 memory: 7431 loss: 0.0410 2022/06/20 17:02:33 - mmengine - INFO - Iter(train) [90600/200000] lr: 2.294e-04 eta: 16:49:24 time: 0.456 data_time: 0.037 memory: 7432 loss: 0.0397 2022/06/20 17:03:19 - mmengine - INFO - Iter(train) [90700/200000] lr: 2.291e-04 eta: 16:48:18 time: 0.460 data_time: 0.047 memory: 7432 loss: 0.0456 2022/06/20 17:04:06 - mmengine - INFO - Iter(train) [90800/200000] lr: 2.288e-04 eta: 16:47:12 time: 0.459 data_time: 0.040 memory: 7432 loss: 0.0401 2022/06/20 17:04:52 - mmengine - INFO - Iter(train) [90900/200000] lr: 2.285e-04 eta: 16:46:06 time: 0.478 data_time: 0.050 memory: 7433 loss: 0.0421 2022/06/20 17:05:43 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 17:05:43 - mmengine - INFO - Iter(train) [91000/200000] lr: 2.282e-04 eta: 16:45:05 time: 0.470 data_time: 0.036 memory: 7431 loss: 0.0383 2022/06/20 17:06:30 - mmengine - INFO - Iter(train) [91100/200000] lr: 2.279e-04 eta: 16:44:00 time: 0.523 data_time: 0.067 memory: 7430 loss: 0.0373 2022/06/20 17:07:18 - mmengine - INFO - Iter(train) [91200/200000] lr: 2.276e-04 eta: 16:42:56 time: 0.480 data_time: 0.049 memory: 7432 loss: 0.0413 2022/06/20 17:08:06 - mmengine - INFO - Iter(train) [91300/200000] lr: 2.272e-04 eta: 16:41:52 time: 0.469 data_time: 0.044 memory: 7433 loss: 0.0411 2022/06/20 17:08:52 - mmengine - INFO - Iter(train) [91400/200000] lr: 2.269e-04 eta: 16:40:45 time: 0.475 data_time: 0.048 memory: 7433 loss: 0.0396 2022/06/20 17:09:37 - mmengine - INFO - Iter(train) [91500/200000] lr: 2.266e-04 eta: 16:39:38 time: 0.441 data_time: 0.041 memory: 7431 loss: 0.0380 2022/06/20 17:10:25 - mmengine - INFO - Iter(train) [91600/200000] lr: 2.263e-04 eta: 16:38:33 time: 0.464 data_time: 0.036 memory: 7433 loss: 0.0406 2022/06/20 17:11:10 - mmengine - INFO - Iter(train) [91700/200000] lr: 2.260e-04 eta: 16:37:26 time: 0.460 data_time: 0.049 memory: 7434 loss: 0.0466 2022/06/20 17:11:56 - mmengine - INFO - Iter(train) [91800/200000] lr: 2.257e-04 eta: 16:36:20 time: 0.465 data_time: 0.045 memory: 7431 loss: 0.0411 2022/06/20 17:12:41 - mmengine - INFO - Iter(train) [91900/200000] lr: 2.254e-04 eta: 16:35:13 time: 0.446 data_time: 0.042 memory: 7436 loss: 0.0427 2022/06/20 17:13:27 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 17:13:27 - mmengine - INFO - Iter(train) [92000/200000] lr: 2.251e-04 eta: 16:34:06 time: 0.449 data_time: 0.040 memory: 7432 loss: 0.0384 2022/06/20 17:14:12 - mmengine - INFO - Iter(train) [92100/200000] lr: 2.248e-04 eta: 16:32:59 time: 0.446 data_time: 0.047 memory: 7431 loss: 0.0407 2022/06/20 17:14:57 - mmengine - INFO - Iter(train) [92200/200000] lr: 2.244e-04 eta: 16:31:52 time: 0.444 data_time: 0.043 memory: 7431 loss: 0.0378 2022/06/20 17:15:42 - mmengine - INFO - Iter(train) [92300/200000] lr: 2.241e-04 eta: 16:30:45 time: 0.444 data_time: 0.038 memory: 7430 loss: 0.0387 2022/06/20 17:16:27 - mmengine - INFO - Iter(train) [92400/200000] lr: 2.238e-04 eta: 16:29:38 time: 0.441 data_time: 0.039 memory: 7432 loss: 0.0400 2022/06/20 17:17:14 - mmengine - INFO - Iter(train) [92500/200000] lr: 2.235e-04 eta: 16:28:32 time: 0.470 data_time: 0.061 memory: 7430 loss: 0.0400 2022/06/20 17:18:00 - mmengine - INFO - Iter(train) [92600/200000] lr: 2.232e-04 eta: 16:27:27 time: 0.448 data_time: 0.043 memory: 7433 loss: 0.0408 2022/06/20 17:18:47 - mmengine - INFO - Iter(train) [92700/200000] lr: 2.229e-04 eta: 16:26:22 time: 0.451 data_time: 0.040 memory: 7433 loss: 0.0382 2022/06/20 17:19:34 - mmengine - INFO - Iter(train) [92800/200000] lr: 2.226e-04 eta: 16:25:17 time: 0.462 data_time: 0.047 memory: 7432 loss: 0.0351 2022/06/20 17:20:21 - mmengine - INFO - Iter(train) [92900/200000] lr: 2.223e-04 eta: 16:24:13 time: 0.473 data_time: 0.059 memory: 7431 loss: 0.0380 2022/06/20 17:21:08 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 17:21:08 - mmengine - INFO - Iter(train) [93000/200000] lr: 2.219e-04 eta: 16:23:08 time: 0.451 data_time: 0.052 memory: 7432 loss: 0.0363 2022/06/20 17:21:55 - mmengine - INFO - Iter(train) [93100/200000] lr: 2.216e-04 eta: 16:22:04 time: 0.469 data_time: 0.049 memory: 7432 loss: 0.0418 2022/06/20 17:22:42 - mmengine - INFO - Iter(train) [93200/200000] lr: 2.213e-04 eta: 16:20:59 time: 0.484 data_time: 0.057 memory: 7430 loss: 0.0411 2022/06/20 17:23:28 - mmengine - INFO - Iter(train) [93300/200000] lr: 2.210e-04 eta: 16:19:54 time: 0.452 data_time: 0.041 memory: 7432 loss: 0.0422 2022/06/20 17:24:15 - mmengine - INFO - Iter(train) [93400/200000] lr: 2.207e-04 eta: 16:18:49 time: 0.473 data_time: 0.042 memory: 7433 loss: 0.0377 2022/06/20 17:25:01 - mmengine - INFO - Iter(train) [93500/200000] lr: 2.204e-04 eta: 16:17:44 time: 0.460 data_time: 0.044 memory: 7434 loss: 0.0394 2022/06/20 17:25:47 - mmengine - INFO - Iter(train) [93600/200000] lr: 2.201e-04 eta: 16:16:39 time: 0.485 data_time: 0.054 memory: 7431 loss: 0.0435 2022/06/20 17:26:34 - mmengine - INFO - Iter(train) [93700/200000] lr: 2.198e-04 eta: 16:15:35 time: 0.456 data_time: 0.039 memory: 7431 loss: 0.0427 2022/06/20 17:27:21 - mmengine - INFO - Iter(train) [93800/200000] lr: 2.195e-04 eta: 16:14:31 time: 0.472 data_time: 0.055 memory: 7430 loss: 0.0392 2022/06/20 17:28:08 - mmengine - INFO - Iter(train) [93900/200000] lr: 2.191e-04 eta: 16:13:26 time: 0.467 data_time: 0.049 memory: 7432 loss: 0.0396 2022/06/20 17:28:55 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 17:28:55 - mmengine - INFO - Iter(train) [94000/200000] lr: 2.188e-04 eta: 16:12:21 time: 0.468 data_time: 0.040 memory: 7432 loss: 0.0353 2022/06/20 17:29:41 - mmengine - INFO - Iter(train) [94100/200000] lr: 2.185e-04 eta: 16:11:17 time: 0.462 data_time: 0.042 memory: 7433 loss: 0.0403 2022/06/20 17:30:28 - mmengine - INFO - Iter(train) [94200/200000] lr: 2.182e-04 eta: 16:10:13 time: 0.463 data_time: 0.049 memory: 7431 loss: 0.0411 2022/06/20 17:31:15 - mmengine - INFO - Iter(train) [94300/200000] lr: 2.179e-04 eta: 16:09:08 time: 0.467 data_time: 0.050 memory: 7435 loss: 0.0422 2022/06/20 17:32:02 - mmengine - INFO - Iter(train) [94400/200000] lr: 2.176e-04 eta: 16:08:04 time: 0.468 data_time: 0.044 memory: 7432 loss: 0.0412 2022/06/20 17:32:49 - mmengine - INFO - Iter(train) [94500/200000] lr: 2.173e-04 eta: 16:07:00 time: 0.460 data_time: 0.045 memory: 7433 loss: 0.0388 2022/06/20 17:33:36 - mmengine - INFO - Iter(train) [94600/200000] lr: 2.169e-04 eta: 16:05:56 time: 0.439 data_time: 0.039 memory: 7431 loss: 0.0406 2022/06/20 17:34:23 - mmengine - INFO - Iter(train) [94700/200000] lr: 2.166e-04 eta: 16:04:52 time: 0.447 data_time: 0.034 memory: 7431 loss: 0.0375 2022/06/20 17:35:10 - mmengine - INFO - Iter(train) [94800/200000] lr: 2.163e-04 eta: 16:03:48 time: 0.467 data_time: 0.042 memory: 7432 loss: 0.0339 2022/06/20 17:35:56 - mmengine - INFO - Iter(train) [94900/200000] lr: 2.160e-04 eta: 16:02:44 time: 0.488 data_time: 0.049 memory: 7434 loss: 0.0423 2022/06/20 17:36:43 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 17:36:43 - mmengine - INFO - Iter(train) [95000/200000] lr: 2.157e-04 eta: 16:01:39 time: 0.444 data_time: 0.040 memory: 7432 loss: 0.0385 2022/06/20 17:37:31 - mmengine - INFO - Iter(train) [95100/200000] lr: 2.154e-04 eta: 16:00:37 time: 0.465 data_time: 0.053 memory: 7430 loss: 0.0421 2022/06/20 17:38:21 - mmengine - INFO - Iter(train) [95200/200000] lr: 2.151e-04 eta: 15:59:36 time: 0.644 data_time: 0.044 memory: 7431 loss: 0.0391 2022/06/20 17:39:08 - mmengine - INFO - Iter(train) [95300/200000] lr: 2.148e-04 eta: 15:58:32 time: 0.486 data_time: 0.050 memory: 7432 loss: 0.0448 2022/06/20 17:39:56 - mmengine - INFO - Iter(train) [95400/200000] lr: 2.144e-04 eta: 15:57:30 time: 0.521 data_time: 0.064 memory: 7432 loss: 0.0437 2022/06/20 17:40:43 - mmengine - INFO - Iter(train) [95500/200000] lr: 2.141e-04 eta: 15:56:26 time: 0.453 data_time: 0.043 memory: 7430 loss: 0.0387 2022/06/20 17:41:31 - mmengine - INFO - Iter(train) [95600/200000] lr: 2.138e-04 eta: 15:55:24 time: 0.458 data_time: 0.028 memory: 7432 loss: 0.0371 2022/06/20 17:42:20 - mmengine - INFO - Iter(train) [95700/200000] lr: 2.135e-04 eta: 15:54:22 time: 0.472 data_time: 0.039 memory: 7431 loss: 0.0430 2022/06/20 17:43:06 - mmengine - INFO - Iter(train) [95800/200000] lr: 2.132e-04 eta: 15:53:18 time: 0.485 data_time: 0.066 memory: 7430 loss: 0.0392 2022/06/20 17:43:58 - mmengine - INFO - Iter(train) [95900/200000] lr: 2.129e-04 eta: 15:52:20 time: 0.547 data_time: 0.076 memory: 7431 loss: 0.0385 2022/06/20 17:44:44 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 17:44:44 - mmengine - INFO - Iter(train) [96000/200000] lr: 2.126e-04 eta: 15:51:16 time: 0.477 data_time: 0.049 memory: 7432 loss: 0.0432 2022/06/20 17:45:32 - mmengine - INFO - Iter(train) [96100/200000] lr: 2.122e-04 eta: 15:50:13 time: 0.478 data_time: 0.045 memory: 7430 loss: 0.0365 2022/06/20 17:46:19 - mmengine - INFO - Iter(train) [96200/200000] lr: 2.119e-04 eta: 15:49:10 time: 0.448 data_time: 0.037 memory: 7432 loss: 0.0385 2022/06/20 17:47:04 - mmengine - INFO - Iter(train) [96300/200000] lr: 2.116e-04 eta: 15:48:04 time: 0.494 data_time: 0.040 memory: 7431 loss: 0.0404 2022/06/20 17:47:50 - mmengine - INFO - Iter(train) [96400/200000] lr: 2.113e-04 eta: 15:47:00 time: 0.435 data_time: 0.038 memory: 7431 loss: 0.0367 2022/06/20 17:48:35 - mmengine - INFO - Iter(train) [96500/200000] lr: 2.110e-04 eta: 15:45:54 time: 0.454 data_time: 0.050 memory: 7432 loss: 0.0453 2022/06/20 17:49:21 - mmengine - INFO - Iter(train) [96600/200000] lr: 2.107e-04 eta: 15:44:50 time: 0.455 data_time: 0.036 memory: 7432 loss: 0.0384 2022/06/20 17:50:07 - mmengine - INFO - Iter(train) [96700/200000] lr: 2.104e-04 eta: 15:43:45 time: 0.458 data_time: 0.047 memory: 7432 loss: 0.0415 2022/06/20 17:50:52 - mmengine - INFO - Iter(train) [96800/200000] lr: 2.101e-04 eta: 15:42:40 time: 0.465 data_time: 0.040 memory: 7430 loss: 0.0362 2022/06/20 17:51:38 - mmengine - INFO - Iter(train) [96900/200000] lr: 2.097e-04 eta: 15:41:36 time: 0.463 data_time: 0.037 memory: 7431 loss: 0.0401 2022/06/20 17:52:23 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 17:52:23 - mmengine - INFO - Iter(train) [97000/200000] lr: 2.094e-04 eta: 15:40:31 time: 0.440 data_time: 0.041 memory: 7433 loss: 0.0334 2022/06/20 17:53:08 - mmengine - INFO - Iter(train) [97100/200000] lr: 2.091e-04 eta: 15:39:26 time: 0.449 data_time: 0.037 memory: 7430 loss: 0.0376 2022/06/20 17:53:54 - mmengine - INFO - Iter(train) [97200/200000] lr: 2.088e-04 eta: 15:38:21 time: 0.454 data_time: 0.046 memory: 7433 loss: 0.0426 2022/06/20 17:54:40 - mmengine - INFO - Iter(train) [97300/200000] lr: 2.085e-04 eta: 15:37:17 time: 0.463 data_time: 0.051 memory: 7431 loss: 0.0362 2022/06/20 17:55:28 - mmengine - INFO - Iter(train) [97400/200000] lr: 2.082e-04 eta: 15:36:15 time: 0.495 data_time: 0.048 memory: 7431 loss: 0.0417 2022/06/20 17:56:14 - mmengine - INFO - Iter(train) [97500/200000] lr: 2.079e-04 eta: 15:35:12 time: 0.456 data_time: 0.054 memory: 7432 loss: 0.0397 2022/06/20 17:57:01 - mmengine - INFO - Iter(train) [97600/200000] lr: 2.075e-04 eta: 15:34:09 time: 0.484 data_time: 0.047 memory: 7430 loss: 0.0385 2022/06/20 17:57:48 - mmengine - INFO - Iter(train) [97700/200000] lr: 2.072e-04 eta: 15:33:05 time: 0.468 data_time: 0.050 memory: 7433 loss: 0.0434 2022/06/20 17:58:34 - mmengine - INFO - Iter(train) [97800/200000] lr: 2.069e-04 eta: 15:32:02 time: 0.453 data_time: 0.043 memory: 7431 loss: 0.0409 2022/06/20 17:59:21 - mmengine - INFO - Iter(train) [97900/200000] lr: 2.066e-04 eta: 15:30:59 time: 0.472 data_time: 0.048 memory: 7431 loss: 0.0414 2022/06/20 18:00:07 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 18:00:07 - mmengine - INFO - Iter(train) [98000/200000] lr: 2.063e-04 eta: 15:29:55 time: 0.477 data_time: 0.050 memory: 7435 loss: 0.0402 2022/06/20 18:00:55 - mmengine - INFO - Iter(train) [98100/200000] lr: 2.060e-04 eta: 15:28:53 time: 0.470 data_time: 0.058 memory: 7432 loss: 0.0397 2022/06/20 18:01:41 - mmengine - INFO - Iter(train) [98200/200000] lr: 2.057e-04 eta: 15:27:49 time: 0.459 data_time: 0.042 memory: 7432 loss: 0.0393 2022/06/20 18:02:28 - mmengine - INFO - Iter(train) [98300/200000] lr: 2.053e-04 eta: 15:26:47 time: 0.512 data_time: 0.043 memory: 7431 loss: 0.0381 2022/06/20 18:03:15 - mmengine - INFO - Iter(train) [98400/200000] lr: 2.050e-04 eta: 15:25:44 time: 0.456 data_time: 0.039 memory: 7433 loss: 0.0355 2022/06/20 18:04:03 - mmengine - INFO - Iter(train) [98500/200000] lr: 2.047e-04 eta: 15:24:42 time: 0.440 data_time: 0.044 memory: 7431 loss: 0.0375 2022/06/20 18:04:52 - mmengine - INFO - Iter(train) [98600/200000] lr: 2.044e-04 eta: 15:23:42 time: 0.460 data_time: 0.040 memory: 7432 loss: 0.0401 2022/06/20 18:05:38 - mmengine - INFO - Iter(train) [98700/200000] lr: 2.041e-04 eta: 15:22:38 time: 0.458 data_time: 0.047 memory: 7431 loss: 0.0345 2022/06/20 18:06:25 - mmengine - INFO - Iter(train) [98800/200000] lr: 2.038e-04 eta: 15:21:36 time: 0.467 data_time: 0.050 memory: 7430 loss: 0.0378 2022/06/20 18:07:12 - mmengine - INFO - Iter(train) [98900/200000] lr: 2.035e-04 eta: 15:20:33 time: 0.491 data_time: 0.050 memory: 7431 loss: 0.0391 2022/06/20 18:08:00 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 18:08:00 - mmengine - INFO - Iter(train) [99000/200000] lr: 2.031e-04 eta: 15:19:32 time: 0.456 data_time: 0.051 memory: 7431 loss: 0.0388 2022/06/20 18:08:47 - mmengine - INFO - Iter(train) [99100/200000] lr: 2.028e-04 eta: 15:18:29 time: 0.460 data_time: 0.037 memory: 7433 loss: 0.0400 2022/06/20 18:09:34 - mmengine - INFO - Iter(train) [99200/200000] lr: 2.025e-04 eta: 15:17:27 time: 0.484 data_time: 0.049 memory: 7432 loss: 0.0400 2022/06/20 18:10:21 - mmengine - INFO - Iter(train) [99300/200000] lr: 2.022e-04 eta: 15:16:25 time: 0.452 data_time: 0.042 memory: 7431 loss: 0.0361 2022/06/20 18:11:25 - mmengine - INFO - Iter(train) [99400/200000] lr: 2.019e-04 eta: 15:15:40 time: 0.453 data_time: 0.035 memory: 7431 loss: 0.0387 2022/06/20 18:12:12 - mmengine - INFO - Iter(train) [99500/200000] lr: 2.016e-04 eta: 15:14:37 time: 0.476 data_time: 0.042 memory: 7433 loss: 0.0384 2022/06/20 18:12:59 - mmengine - INFO - Iter(train) [99600/200000] lr: 2.013e-04 eta: 15:13:35 time: 0.471 data_time: 0.051 memory: 7431 loss: 0.0419 2022/06/20 18:13:46 - mmengine - INFO - Iter(train) [99700/200000] lr: 2.009e-04 eta: 15:12:32 time: 0.445 data_time: 0.041 memory: 7432 loss: 0.0385 2022/06/20 18:14:33 - mmengine - INFO - Iter(train) [99800/200000] lr: 2.006e-04 eta: 15:11:30 time: 0.454 data_time: 0.036 memory: 7434 loss: 0.0423 2022/06/20 18:15:19 - mmengine - INFO - Iter(train) [99900/200000] lr: 2.003e-04 eta: 15:10:27 time: 0.474 data_time: 0.050 memory: 7431 loss: 0.0437 2022/06/20 18:16:07 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 18:16:07 - mmengine - INFO - Iter(train) [100000/200000] lr: 2.000e-04 eta: 15:09:26 time: 0.459 data_time: 0.044 memory: 7431 loss: 0.0486 2022/06/20 18:16:07 - mmengine - INFO - Saving checkpoint at 100000 iterations 2022/06/20 18:17:02 - mmengine - INFO - Iter(val) [100/250] eta: 0:01:14 time: 0.499 data_time: 0.029 memory: 2345 2022/06/20 18:17:49 - mmengine - INFO - Iter(val) [200/250] eta: 0:00:24 time: 0.484 data_time: 0.028 memory: 2001 2022/06/20 18:18:18 - mmengine - INFO - Iter(val) [250/250] SAD: 39.8019 MattingMSE: 0.0108 GradientError: 20.8757 ConnectivityError: 38.2828 2022/06/20 18:19:05 - mmengine - INFO - Iter(train) [100100/200000] lr: 1.997e-04 eta: 15:08:26 time: 0.457 data_time: 0.040 memory: 7434 loss: 0.0388 2022/06/20 18:19:51 - mmengine - INFO - Iter(train) [100200/200000] lr: 1.994e-04 eta: 15:07:23 time: 0.453 data_time: 0.050 memory: 7431 loss: 0.0392 2022/06/20 18:20:38 - mmengine - INFO - Iter(train) [100300/200000] lr: 1.991e-04 eta: 15:06:21 time: 0.450 data_time: 0.039 memory: 7432 loss: 0.0394 2022/06/20 18:21:26 - mmengine - INFO - Iter(train) [100400/200000] lr: 1.987e-04 eta: 15:05:19 time: 0.448 data_time: 0.039 memory: 7431 loss: 0.0406 2022/06/20 18:22:13 - mmengine - INFO - Iter(train) [100500/200000] lr: 1.984e-04 eta: 15:04:18 time: 0.480 data_time: 0.065 memory: 7431 loss: 0.0409 2022/06/20 18:22:59 - mmengine - INFO - Iter(train) [100600/200000] lr: 1.981e-04 eta: 15:03:15 time: 0.449 data_time: 0.038 memory: 7431 loss: 0.0406 2022/06/20 18:23:45 - mmengine - INFO - Iter(train) [100700/200000] lr: 1.978e-04 eta: 15:02:12 time: 0.441 data_time: 0.037 memory: 7431 loss: 0.0360 2022/06/20 18:24:31 - mmengine - INFO - Iter(train) [100800/200000] lr: 1.975e-04 eta: 15:01:08 time: 0.455 data_time: 0.040 memory: 7432 loss: 0.0377 2022/06/20 18:25:17 - mmengine - INFO - Iter(train) [100900/200000] lr: 1.972e-04 eta: 15:00:06 time: 0.463 data_time: 0.046 memory: 7432 loss: 0.0384 2022/06/20 18:26:03 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 18:26:03 - mmengine - INFO - Iter(train) [101000/200000] lr: 1.969e-04 eta: 14:59:03 time: 0.466 data_time: 0.043 memory: 7432 loss: 0.0421 2022/06/20 18:26:49 - mmengine - INFO - Iter(train) [101100/200000] lr: 1.965e-04 eta: 14:58:00 time: 0.435 data_time: 0.037 memory: 7432 loss: 0.0399 2022/06/20 18:27:34 - mmengine - INFO - Iter(train) [101200/200000] lr: 1.962e-04 eta: 14:56:57 time: 0.464 data_time: 0.040 memory: 7432 loss: 0.0413 2022/06/20 18:28:20 - mmengine - INFO - Iter(train) [101300/200000] lr: 1.959e-04 eta: 14:55:54 time: 0.465 data_time: 0.047 memory: 7432 loss: 0.0345 2022/06/20 18:29:05 - mmengine - INFO - Iter(train) [101400/200000] lr: 1.956e-04 eta: 14:54:50 time: 0.435 data_time: 0.038 memory: 7432 loss: 0.0371 2022/06/20 18:29:49 - mmengine - INFO - Iter(train) [101500/200000] lr: 1.953e-04 eta: 14:53:46 time: 0.449 data_time: 0.038 memory: 7432 loss: 0.0380 2022/06/20 18:30:35 - mmengine - INFO - Iter(train) [101600/200000] lr: 1.950e-04 eta: 14:52:43 time: 0.463 data_time: 0.038 memory: 7434 loss: 0.0389 2022/06/20 18:31:21 - mmengine - INFO - Iter(train) [101700/200000] lr: 1.947e-04 eta: 14:51:40 time: 0.463 data_time: 0.041 memory: 7431 loss: 0.0439 2022/06/20 18:32:07 - mmengine - INFO - Iter(train) [101800/200000] lr: 1.943e-04 eta: 14:50:37 time: 0.462 data_time: 0.042 memory: 7435 loss: 0.0396 2022/06/20 18:32:55 - mmengine - INFO - Iter(train) [101900/200000] lr: 1.940e-04 eta: 14:49:36 time: 0.487 data_time: 0.051 memory: 7432 loss: 0.0450 2022/06/20 18:33:41 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 18:33:41 - mmengine - INFO - Iter(train) [102000/200000] lr: 1.937e-04 eta: 14:48:35 time: 0.468 data_time: 0.041 memory: 7432 loss: 0.0410 2022/06/20 18:34:28 - mmengine - INFO - Iter(train) [102100/200000] lr: 1.934e-04 eta: 14:47:33 time: 0.459 data_time: 0.058 memory: 7433 loss: 0.0405 2022/06/20 18:35:16 - mmengine - INFO - Iter(train) [102200/200000] lr: 1.931e-04 eta: 14:46:32 time: 0.458 data_time: 0.047 memory: 7430 loss: 0.0367 2022/06/20 18:36:02 - mmengine - INFO - Iter(train) [102300/200000] lr: 1.928e-04 eta: 14:45:30 time: 0.457 data_time: 0.049 memory: 7431 loss: 0.0384 2022/06/20 18:36:49 - mmengine - INFO - Iter(train) [102400/200000] lr: 1.925e-04 eta: 14:44:29 time: 0.465 data_time: 0.038 memory: 7431 loss: 0.0401 2022/06/20 18:37:37 - mmengine - INFO - Iter(train) [102500/200000] lr: 1.922e-04 eta: 14:43:28 time: 0.484 data_time: 0.052 memory: 7433 loss: 0.0380 2022/06/20 18:38:24 - mmengine - INFO - Iter(train) [102600/200000] lr: 1.918e-04 eta: 14:42:26 time: 0.467 data_time: 0.051 memory: 7431 loss: 0.0356 2022/06/20 18:39:11 - mmengine - INFO - Iter(train) [102700/200000] lr: 1.915e-04 eta: 14:41:25 time: 0.471 data_time: 0.044 memory: 7433 loss: 0.0385 2022/06/20 18:39:58 - mmengine - INFO - Iter(train) [102800/200000] lr: 1.912e-04 eta: 14:40:23 time: 0.450 data_time: 0.052 memory: 7432 loss: 0.0370 2022/06/20 18:40:45 - mmengine - INFO - Iter(train) [102900/200000] lr: 1.909e-04 eta: 14:39:22 time: 0.466 data_time: 0.049 memory: 7429 loss: 0.0392 2022/06/20 18:41:32 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 18:41:32 - mmengine - INFO - Iter(train) [103000/200000] lr: 1.906e-04 eta: 14:38:21 time: 0.468 data_time: 0.040 memory: 7432 loss: 0.0362 2022/06/20 18:42:19 - mmengine - INFO - Iter(train) [103100/200000] lr: 1.903e-04 eta: 14:37:19 time: 0.456 data_time: 0.050 memory: 7430 loss: 0.0405 2022/06/20 18:43:05 - mmengine - INFO - Iter(train) [103200/200000] lr: 1.900e-04 eta: 14:36:18 time: 0.458 data_time: 0.041 memory: 7432 loss: 0.0415 2022/06/20 18:43:52 - mmengine - INFO - Iter(train) [103300/200000] lr: 1.896e-04 eta: 14:35:16 time: 0.471 data_time: 0.051 memory: 7433 loss: 0.0419 2022/06/20 18:44:38 - mmengine - INFO - Iter(train) [103400/200000] lr: 1.893e-04 eta: 14:34:14 time: 0.467 data_time: 0.039 memory: 7433 loss: 0.0391 2022/06/20 18:45:25 - mmengine - INFO - Iter(train) [103500/200000] lr: 1.890e-04 eta: 14:33:13 time: 0.457 data_time: 0.042 memory: 7431 loss: 0.0406 2022/06/20 18:46:12 - mmengine - INFO - Iter(train) [103600/200000] lr: 1.887e-04 eta: 14:32:12 time: 0.461 data_time: 0.036 memory: 7430 loss: 0.0406 2022/06/20 18:47:00 - mmengine - INFO - Iter(train) [103700/200000] lr: 1.884e-04 eta: 14:31:11 time: 0.499 data_time: 0.054 memory: 7432 loss: 0.0376 2022/06/20 18:47:46 - mmengine - INFO - Iter(train) [103800/200000] lr: 1.881e-04 eta: 14:30:10 time: 0.465 data_time: 0.045 memory: 7432 loss: 0.0391 2022/06/20 18:48:32 - mmengine - INFO - Iter(train) [103900/200000] lr: 1.878e-04 eta: 14:29:08 time: 0.471 data_time: 0.043 memory: 7431 loss: 0.0420 2022/06/20 18:49:19 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 18:49:19 - mmengine - INFO - Iter(train) [104000/200000] lr: 1.874e-04 eta: 14:28:06 time: 0.461 data_time: 0.043 memory: 7434 loss: 0.0434 2022/06/20 18:50:06 - mmengine - INFO - Iter(train) [104100/200000] lr: 1.871e-04 eta: 14:27:05 time: 0.462 data_time: 0.041 memory: 7430 loss: 0.0357 2022/06/20 18:50:53 - mmengine - INFO - Iter(train) [104200/200000] lr: 1.868e-04 eta: 14:26:04 time: 0.477 data_time: 0.070 memory: 7434 loss: 0.0416 2022/06/20 18:51:40 - mmengine - INFO - Iter(train) [104300/200000] lr: 1.865e-04 eta: 14:25:03 time: 0.453 data_time: 0.026 memory: 7432 loss: 0.0409 2022/06/20 18:52:27 - mmengine - INFO - Iter(train) [104400/200000] lr: 1.862e-04 eta: 14:24:03 time: 0.460 data_time: 0.044 memory: 7434 loss: 0.0373 2022/06/20 18:53:14 - mmengine - INFO - Iter(train) [104500/200000] lr: 1.859e-04 eta: 14:23:02 time: 0.470 data_time: 0.043 memory: 7432 loss: 0.0396 2022/06/20 18:54:02 - mmengine - INFO - Iter(train) [104600/200000] lr: 1.856e-04 eta: 14:22:02 time: 0.490 data_time: 0.046 memory: 7431 loss: 0.0419 2022/06/20 18:54:48 - mmengine - INFO - Iter(train) [104700/200000] lr: 1.853e-04 eta: 14:21:00 time: 0.474 data_time: 0.047 memory: 7430 loss: 0.0386 2022/06/20 18:55:35 - mmengine - INFO - Iter(train) [104800/200000] lr: 1.849e-04 eta: 14:19:59 time: 0.505 data_time: 0.082 memory: 7431 loss: 0.0393 2022/06/20 18:56:22 - mmengine - INFO - Iter(train) [104900/200000] lr: 1.846e-04 eta: 14:18:58 time: 0.466 data_time: 0.047 memory: 7431 loss: 0.0360 2022/06/20 18:57:09 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 18:57:09 - mmengine - INFO - Iter(train) [105000/200000] lr: 1.843e-04 eta: 14:17:57 time: 0.471 data_time: 0.040 memory: 7431 loss: 0.0379 2022/06/20 18:57:55 - mmengine - INFO - Iter(train) [105100/200000] lr: 1.840e-04 eta: 14:16:56 time: 0.468 data_time: 0.046 memory: 7431 loss: 0.0382 2022/06/20 18:58:42 - mmengine - INFO - Iter(train) [105200/200000] lr: 1.837e-04 eta: 14:15:55 time: 0.483 data_time: 0.056 memory: 7431 loss: 0.0397 2022/06/20 18:59:28 - mmengine - INFO - Iter(train) [105300/200000] lr: 1.834e-04 eta: 14:14:54 time: 0.453 data_time: 0.040 memory: 7433 loss: 0.0377 2022/06/20 19:00:15 - mmengine - INFO - Iter(train) [105400/200000] lr: 1.831e-04 eta: 14:13:53 time: 0.459 data_time: 0.037 memory: 7431 loss: 0.0409 2022/06/20 19:01:00 - mmengine - INFO - Iter(train) [105500/200000] lr: 1.827e-04 eta: 14:12:51 time: 0.457 data_time: 0.033 memory: 7433 loss: 0.0356 2022/06/20 19:01:46 - mmengine - INFO - Iter(train) [105600/200000] lr: 1.824e-04 eta: 14:11:50 time: 0.456 data_time: 0.038 memory: 7431 loss: 0.0410 2022/06/20 19:02:32 - mmengine - INFO - Iter(train) [105700/200000] lr: 1.821e-04 eta: 14:10:48 time: 0.443 data_time: 0.041 memory: 7432 loss: 0.0387 2022/06/20 19:03:18 - mmengine - INFO - Iter(train) [105800/200000] lr: 1.818e-04 eta: 14:09:46 time: 0.463 data_time: 0.057 memory: 7430 loss: 0.0394 2022/06/20 19:04:03 - mmengine - INFO - Iter(train) [105900/200000] lr: 1.815e-04 eta: 14:08:44 time: 0.461 data_time: 0.034 memory: 7429 loss: 0.0383 2022/06/20 19:04:48 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 19:04:48 - mmengine - INFO - Iter(train) [106000/200000] lr: 1.812e-04 eta: 14:07:42 time: 0.455 data_time: 0.040 memory: 7430 loss: 0.0406 2022/06/20 19:05:33 - mmengine - INFO - Iter(train) [106100/200000] lr: 1.809e-04 eta: 14:06:40 time: 0.458 data_time: 0.037 memory: 7431 loss: 0.0380 2022/06/20 19:06:19 - mmengine - INFO - Iter(train) [106200/200000] lr: 1.806e-04 eta: 14:05:39 time: 0.476 data_time: 0.040 memory: 7431 loss: 0.0368 2022/06/20 19:07:04 - mmengine - INFO - Iter(train) [106300/200000] lr: 1.802e-04 eta: 14:04:37 time: 0.453 data_time: 0.041 memory: 7432 loss: 0.0407 2022/06/20 19:07:51 - mmengine - INFO - Iter(train) [106400/200000] lr: 1.799e-04 eta: 14:03:36 time: 0.476 data_time: 0.051 memory: 7431 loss: 0.0328 2022/06/20 19:08:36 - mmengine - INFO - Iter(train) [106500/200000] lr: 1.796e-04 eta: 14:02:34 time: 0.461 data_time: 0.043 memory: 7429 loss: 0.0348 2022/06/20 19:09:24 - mmengine - INFO - Iter(train) [106600/200000] lr: 1.793e-04 eta: 14:01:34 time: 0.453 data_time: 0.044 memory: 7430 loss: 0.0388 2022/06/20 19:10:11 - mmengine - INFO - Iter(train) [106700/200000] lr: 1.790e-04 eta: 14:00:34 time: 0.484 data_time: 0.055 memory: 7432 loss: 0.0357 2022/06/20 19:10:58 - mmengine - INFO - Iter(train) [106800/200000] lr: 1.787e-04 eta: 13:59:34 time: 0.477 data_time: 0.051 memory: 7432 loss: 0.0416 2022/06/20 19:11:45 - mmengine - INFO - Iter(train) [106900/200000] lr: 1.784e-04 eta: 13:58:34 time: 0.476 data_time: 0.042 memory: 7432 loss: 0.0428 2022/06/20 19:12:32 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 19:12:32 - mmengine - INFO - Iter(train) [107000/200000] lr: 1.781e-04 eta: 13:57:33 time: 0.457 data_time: 0.041 memory: 7432 loss: 0.0440 2022/06/20 19:13:18 - mmengine - INFO - Iter(train) [107100/200000] lr: 1.777e-04 eta: 13:56:33 time: 0.460 data_time: 0.046 memory: 7432 loss: 0.0379 2022/06/20 19:14:05 - mmengine - INFO - Iter(train) [107200/200000] lr: 1.774e-04 eta: 13:55:32 time: 0.497 data_time: 0.065 memory: 7431 loss: 0.0390 2022/06/20 19:14:52 - mmengine - INFO - Iter(train) [107300/200000] lr: 1.771e-04 eta: 13:54:32 time: 0.469 data_time: 0.043 memory: 7430 loss: 0.0405 2022/06/20 19:15:38 - mmengine - INFO - Iter(train) [107400/200000] lr: 1.768e-04 eta: 13:53:31 time: 0.462 data_time: 0.040 memory: 7432 loss: 0.0358 2022/06/20 19:16:25 - mmengine - INFO - Iter(train) [107500/200000] lr: 1.765e-04 eta: 13:52:31 time: 0.444 data_time: 0.042 memory: 7433 loss: 0.0399 2022/06/20 19:17:13 - mmengine - INFO - Iter(train) [107600/200000] lr: 1.762e-04 eta: 13:51:32 time: 0.471 data_time: 0.045 memory: 7432 loss: 0.0350 2022/06/20 19:18:00 - mmengine - INFO - Iter(train) [107700/200000] lr: 1.759e-04 eta: 13:50:32 time: 0.462 data_time: 0.046 memory: 7431 loss: 0.0352 2022/06/20 19:18:47 - mmengine - INFO - Iter(train) [107800/200000] lr: 1.756e-04 eta: 13:49:32 time: 0.486 data_time: 0.048 memory: 7432 loss: 0.0407 2022/06/20 19:19:34 - mmengine - INFO - Iter(train) [107900/200000] lr: 1.752e-04 eta: 13:48:32 time: 0.454 data_time: 0.038 memory: 7431 loss: 0.0409 2022/06/20 19:20:21 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 19:20:21 - mmengine - INFO - Iter(train) [108000/200000] lr: 1.749e-04 eta: 13:47:32 time: 0.475 data_time: 0.035 memory: 7432 loss: 0.0346 2022/06/20 19:21:08 - mmengine - INFO - Iter(train) [108100/200000] lr: 1.746e-04 eta: 13:46:32 time: 0.476 data_time: 0.049 memory: 7432 loss: 0.0419 2022/06/20 19:21:55 - mmengine - INFO - Iter(train) [108200/200000] lr: 1.743e-04 eta: 13:45:32 time: 0.460 data_time: 0.045 memory: 7434 loss: 0.0388 2022/06/20 19:22:42 - mmengine - INFO - Iter(train) [108300/200000] lr: 1.740e-04 eta: 13:44:32 time: 0.474 data_time: 0.056 memory: 7434 loss: 0.0414 2022/06/20 19:23:28 - mmengine - INFO - Iter(train) [108400/200000] lr: 1.737e-04 eta: 13:43:32 time: 0.477 data_time: 0.065 memory: 7431 loss: 0.0351 2022/06/20 19:24:15 - mmengine - INFO - Iter(train) [108500/200000] lr: 1.734e-04 eta: 13:42:31 time: 0.463 data_time: 0.040 memory: 7432 loss: 0.0393 2022/06/20 19:25:02 - mmengine - INFO - Iter(train) [108600/200000] lr: 1.731e-04 eta: 13:41:32 time: 0.459 data_time: 0.041 memory: 7432 loss: 0.0356 2022/06/20 19:25:48 - mmengine - INFO - Iter(train) [108700/200000] lr: 1.728e-04 eta: 13:40:31 time: 0.488 data_time: 0.045 memory: 7431 loss: 0.0462 2022/06/20 19:26:35 - mmengine - INFO - Iter(train) [108800/200000] lr: 1.724e-04 eta: 13:39:31 time: 0.444 data_time: 0.039 memory: 7428 loss: 0.0344 2022/06/20 19:27:23 - mmengine - INFO - Iter(train) [108900/200000] lr: 1.721e-04 eta: 13:38:32 time: 0.474 data_time: 0.047 memory: 7431 loss: 0.0399 2022/06/20 19:28:10 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 19:28:10 - mmengine - INFO - Iter(train) [109000/200000] lr: 1.718e-04 eta: 13:37:33 time: 0.461 data_time: 0.037 memory: 7433 loss: 0.0379 2022/06/20 19:28:56 - mmengine - INFO - Iter(train) [109100/200000] lr: 1.715e-04 eta: 13:36:32 time: 0.475 data_time: 0.053 memory: 7431 loss: 0.0385 2022/06/20 19:29:43 - mmengine - INFO - Iter(train) [109200/200000] lr: 1.712e-04 eta: 13:35:32 time: 0.468 data_time: 0.049 memory: 7432 loss: 0.0415 2022/06/20 19:30:29 - mmengine - INFO - Iter(train) [109300/200000] lr: 1.709e-04 eta: 13:34:32 time: 0.455 data_time: 0.041 memory: 7432 loss: 0.0391 2022/06/20 19:31:16 - mmengine - INFO - Iter(train) [109400/200000] lr: 1.706e-04 eta: 13:33:32 time: 0.465 data_time: 0.040 memory: 7430 loss: 0.0365 2022/06/20 19:32:03 - mmengine - INFO - Iter(train) [109500/200000] lr: 1.703e-04 eta: 13:32:33 time: 0.460 data_time: 0.050 memory: 7435 loss: 0.0390 2022/06/20 19:32:50 - mmengine - INFO - Iter(train) [109600/200000] lr: 1.700e-04 eta: 13:31:34 time: 0.461 data_time: 0.048 memory: 7431 loss: 0.0373 2022/06/20 19:33:38 - mmengine - INFO - Iter(train) [109700/200000] lr: 1.696e-04 eta: 13:30:34 time: 0.458 data_time: 0.042 memory: 7432 loss: 0.0344 2022/06/20 19:34:25 - mmengine - INFO - Iter(train) [109800/200000] lr: 1.693e-04 eta: 13:29:35 time: 0.465 data_time: 0.050 memory: 7431 loss: 0.0428 2022/06/20 19:35:11 - mmengine - INFO - Iter(train) [109900/200000] lr: 1.690e-04 eta: 13:28:35 time: 0.470 data_time: 0.065 memory: 7435 loss: 0.0441 2022/06/20 19:35:58 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 19:35:58 - mmengine - INFO - Iter(train) [110000/200000] lr: 1.687e-04 eta: 13:27:35 time: 0.463 data_time: 0.054 memory: 7431 loss: 0.0381 2022/06/20 19:35:58 - mmengine - INFO - Saving checkpoint at 110000 iterations 2022/06/20 19:36:56 - mmengine - INFO - Iter(val) [100/250] eta: 0:01:20 time: 0.534 data_time: 0.027 memory: 2342 2022/06/20 19:37:42 - mmengine - INFO - Iter(val) [200/250] eta: 0:00:23 time: 0.478 data_time: 0.025 memory: 2000 2022/06/20 19:38:10 - mmengine - INFO - Iter(val) [250/250] SAD: 40.0200 MattingMSE: 0.0103 GradientError: 20.0709 ConnectivityError: 38.5647 2022/06/20 19:38:55 - mmengine - INFO - Iter(train) [110100/200000] lr: 1.684e-04 eta: 13:26:35 time: 0.466 data_time: 0.038 memory: 7432 loss: 0.0418 2022/06/20 19:39:41 - mmengine - INFO - Iter(train) [110200/200000] lr: 1.681e-04 eta: 13:25:35 time: 0.440 data_time: 0.048 memory: 7433 loss: 0.0344 2022/06/20 19:40:27 - mmengine - INFO - Iter(train) [110300/200000] lr: 1.678e-04 eta: 13:24:34 time: 0.463 data_time: 0.061 memory: 7431 loss: 0.0407 2022/06/20 19:41:17 - mmengine - INFO - Iter(train) [110400/200000] lr: 1.675e-04 eta: 13:23:37 time: 0.511 data_time: 0.058 memory: 7433 loss: 0.0359 2022/06/20 19:42:08 - mmengine - INFO - Iter(train) [110500/200000] lr: 1.672e-04 eta: 13:22:42 time: 0.533 data_time: 0.061 memory: 7431 loss: 0.0365 2022/06/20 19:43:00 - mmengine - INFO - Iter(train) [110600/200000] lr: 1.669e-04 eta: 13:21:46 time: 0.520 data_time: 0.067 memory: 7430 loss: 0.0366 2022/06/20 19:43:54 - mmengine - INFO - Iter(train) [110700/200000] lr: 1.665e-04 eta: 13:20:52 time: 0.528 data_time: 0.068 memory: 7429 loss: 0.0350 2022/06/20 19:44:48 - mmengine - INFO - Iter(train) [110800/200000] lr: 1.662e-04 eta: 13:19:58 time: 0.539 data_time: 0.074 memory: 7433 loss: 0.0390 2022/06/20 19:45:40 - mmengine - INFO - Iter(train) [110900/200000] lr: 1.659e-04 eta: 13:19:03 time: 0.511 data_time: 0.065 memory: 7430 loss: 0.0374 2022/06/20 19:46:34 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 19:46:34 - mmengine - INFO - Iter(train) [111000/200000] lr: 1.656e-04 eta: 13:18:09 time: 0.501 data_time: 0.062 memory: 7431 loss: 0.0324 2022/06/20 19:47:27 - mmengine - INFO - Iter(train) [111100/200000] lr: 1.653e-04 eta: 13:17:15 time: 0.516 data_time: 0.061 memory: 7430 loss: 0.0399 2022/06/20 19:48:18 - mmengine - INFO - Iter(train) [111200/200000] lr: 1.650e-04 eta: 13:16:19 time: 0.474 data_time: 0.051 memory: 7433 loss: 0.0350 2022/06/20 19:49:06 - mmengine - INFO - Iter(train) [111300/200000] lr: 1.647e-04 eta: 13:15:20 time: 0.487 data_time: 0.039 memory: 7433 loss: 0.0340 2022/06/20 19:49:52 - mmengine - INFO - Iter(train) [111400/200000] lr: 1.644e-04 eta: 13:14:21 time: 0.459 data_time: 0.048 memory: 7431 loss: 0.0359 2022/06/20 19:50:40 - mmengine - INFO - Iter(train) [111500/200000] lr: 1.641e-04 eta: 13:13:22 time: 0.519 data_time: 0.071 memory: 7431 loss: 0.0384 2022/06/20 19:51:27 - mmengine - INFO - Iter(train) [111600/200000] lr: 1.638e-04 eta: 13:12:23 time: 0.471 data_time: 0.043 memory: 7430 loss: 0.0415 2022/06/20 19:52:15 - mmengine - INFO - Iter(train) [111700/200000] lr: 1.635e-04 eta: 13:11:24 time: 0.479 data_time: 0.057 memory: 7430 loss: 0.0412 2022/06/20 19:53:02 - mmengine - INFO - Iter(train) [111800/200000] lr: 1.631e-04 eta: 13:10:25 time: 0.481 data_time: 0.041 memory: 7432 loss: 0.0369 2022/06/20 19:53:50 - mmengine - INFO - Iter(train) [111900/200000] lr: 1.628e-04 eta: 13:09:27 time: 0.445 data_time: 0.039 memory: 7430 loss: 0.0412 2022/06/20 19:54:37 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 19:54:37 - mmengine - INFO - Iter(train) [112000/200000] lr: 1.625e-04 eta: 13:08:28 time: 0.459 data_time: 0.054 memory: 7432 loss: 0.0456 2022/06/20 19:55:24 - mmengine - INFO - Iter(train) [112100/200000] lr: 1.622e-04 eta: 13:07:28 time: 0.464 data_time: 0.042 memory: 7433 loss: 0.0361 2022/06/20 19:56:11 - mmengine - INFO - Iter(train) [112200/200000] lr: 1.619e-04 eta: 13:06:30 time: 0.472 data_time: 0.050 memory: 7431 loss: 0.0370 2022/06/20 19:56:58 - mmengine - INFO - Iter(train) [112300/200000] lr: 1.616e-04 eta: 13:05:30 time: 0.480 data_time: 0.045 memory: 7431 loss: 0.0384 2022/06/20 19:57:45 - mmengine - INFO - Iter(train) [112400/200000] lr: 1.613e-04 eta: 13:04:32 time: 0.481 data_time: 0.041 memory: 7432 loss: 0.0366 2022/06/20 19:58:34 - mmengine - INFO - Iter(train) [112500/200000] lr: 1.610e-04 eta: 13:03:34 time: 0.606 data_time: 0.034 memory: 7432 loss: 0.0409 2022/06/20 19:59:21 - mmengine - INFO - Iter(train) [112600/200000] lr: 1.607e-04 eta: 13:02:35 time: 0.458 data_time: 0.042 memory: 7430 loss: 0.0345 2022/06/20 20:00:08 - mmengine - INFO - Iter(train) [112700/200000] lr: 1.604e-04 eta: 13:01:36 time: 0.460 data_time: 0.049 memory: 7431 loss: 0.0407 2022/06/20 20:00:56 - mmengine - INFO - Iter(train) [112800/200000] lr: 1.601e-04 eta: 13:00:38 time: 0.459 data_time: 0.040 memory: 7432 loss: 0.0373 2022/06/20 20:01:43 - mmengine - INFO - Iter(train) [112900/200000] lr: 1.598e-04 eta: 12:59:39 time: 0.468 data_time: 0.041 memory: 7431 loss: 0.0388 2022/06/20 20:02:30 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 20:02:30 - mmengine - INFO - Iter(train) [113000/200000] lr: 1.594e-04 eta: 12:58:40 time: 0.462 data_time: 0.042 memory: 7430 loss: 0.0341 2022/06/20 20:03:17 - mmengine - INFO - Iter(train) [113100/200000] lr: 1.591e-04 eta: 12:57:41 time: 0.463 data_time: 0.042 memory: 7430 loss: 0.0376 2022/06/20 20:04:06 - mmengine - INFO - Iter(train) [113200/200000] lr: 1.588e-04 eta: 12:56:44 time: 0.730 data_time: 0.317 memory: 7431 loss: 0.0395 2022/06/20 20:04:52 - mmengine - INFO - Iter(train) [113300/200000] lr: 1.585e-04 eta: 12:55:44 time: 0.484 data_time: 0.052 memory: 7432 loss: 0.0389 2022/06/20 20:05:39 - mmengine - INFO - Iter(train) [113400/200000] lr: 1.582e-04 eta: 12:54:45 time: 0.469 data_time: 0.046 memory: 7430 loss: 0.0372 2022/06/20 20:06:26 - mmengine - INFO - Iter(train) [113500/200000] lr: 1.579e-04 eta: 12:53:47 time: 0.473 data_time: 0.037 memory: 7431 loss: 0.0375 2022/06/20 20:07:13 - mmengine - INFO - Iter(train) [113600/200000] lr: 1.576e-04 eta: 12:52:48 time: 0.452 data_time: 0.042 memory: 7432 loss: 0.0420 2022/06/20 20:08:01 - mmengine - INFO - Iter(train) [113700/200000] lr: 1.573e-04 eta: 12:51:50 time: 0.481 data_time: 0.062 memory: 7430 loss: 0.0365 2022/06/20 20:08:48 - mmengine - INFO - Iter(train) [113800/200000] lr: 1.570e-04 eta: 12:50:51 time: 0.469 data_time: 0.045 memory: 7430 loss: 0.0403 2022/06/20 20:09:35 - mmengine - INFO - Iter(train) [113900/200000] lr: 1.567e-04 eta: 12:49:52 time: 0.449 data_time: 0.038 memory: 7432 loss: 0.0361 2022/06/20 20:10:22 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 20:10:22 - mmengine - INFO - Iter(train) [114000/200000] lr: 1.564e-04 eta: 12:48:54 time: 0.481 data_time: 0.045 memory: 7432 loss: 0.0359 2022/06/20 20:11:10 - mmengine - INFO - Iter(train) [114100/200000] lr: 1.561e-04 eta: 12:47:56 time: 0.445 data_time: 0.037 memory: 7431 loss: 0.0364 2022/06/20 20:11:58 - mmengine - INFO - Iter(train) [114200/200000] lr: 1.558e-04 eta: 12:46:57 time: 0.478 data_time: 0.051 memory: 7430 loss: 0.0389 2022/06/20 20:12:45 - mmengine - INFO - Iter(train) [114300/200000] lr: 1.555e-04 eta: 12:45:59 time: 0.481 data_time: 0.046 memory: 7434 loss: 0.0372 2022/06/20 20:13:32 - mmengine - INFO - Iter(train) [114400/200000] lr: 1.551e-04 eta: 12:45:00 time: 0.459 data_time: 0.052 memory: 7431 loss: 0.0360 2022/06/20 20:14:19 - mmengine - INFO - Iter(train) [114500/200000] lr: 1.548e-04 eta: 12:44:02 time: 0.473 data_time: 0.048 memory: 7432 loss: 0.0403 2022/06/20 20:15:05 - mmengine - INFO - Iter(train) [114600/200000] lr: 1.545e-04 eta: 12:43:02 time: 0.453 data_time: 0.041 memory: 7431 loss: 0.0363 2022/06/20 20:15:51 - mmengine - INFO - Iter(train) [114700/200000] lr: 1.542e-04 eta: 12:42:03 time: 0.473 data_time: 0.040 memory: 7433 loss: 0.0356 2022/06/20 20:16:37 - mmengine - INFO - Iter(train) [114800/200000] lr: 1.539e-04 eta: 12:41:03 time: 0.455 data_time: 0.043 memory: 7429 loss: 0.0374 2022/06/20 20:17:23 - mmengine - INFO - Iter(train) [114900/200000] lr: 1.536e-04 eta: 12:40:05 time: 0.455 data_time: 0.046 memory: 7433 loss: 0.0395 2022/06/20 20:18:10 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 20:18:10 - mmengine - INFO - Iter(train) [115000/200000] lr: 1.533e-04 eta: 12:39:06 time: 0.454 data_time: 0.049 memory: 7432 loss: 0.0331 2022/06/20 20:18:56 - mmengine - INFO - Iter(train) [115100/200000] lr: 1.530e-04 eta: 12:38:07 time: 0.460 data_time: 0.044 memory: 7432 loss: 0.0386 2022/06/20 20:19:41 - mmengine - INFO - Iter(train) [115200/200000] lr: 1.527e-04 eta: 12:37:07 time: 0.454 data_time: 0.052 memory: 7431 loss: 0.0402 2022/06/20 20:20:27 - mmengine - INFO - Iter(train) [115300/200000] lr: 1.524e-04 eta: 12:36:08 time: 0.468 data_time: 0.046 memory: 7431 loss: 0.0351 2022/06/20 20:21:13 - mmengine - INFO - Iter(train) [115400/200000] lr: 1.521e-04 eta: 12:35:09 time: 0.456 data_time: 0.051 memory: 7431 loss: 0.0371 2022/06/20 20:21:58 - mmengine - INFO - Iter(train) [115500/200000] lr: 1.518e-04 eta: 12:34:09 time: 0.441 data_time: 0.045 memory: 7430 loss: 0.0366 2022/06/20 20:22:45 - mmengine - INFO - Iter(train) [115600/200000] lr: 1.515e-04 eta: 12:33:10 time: 0.446 data_time: 0.040 memory: 7431 loss: 0.0338 2022/06/20 20:23:30 - mmengine - INFO - Iter(train) [115700/200000] lr: 1.512e-04 eta: 12:32:10 time: 0.439 data_time: 0.035 memory: 7430 loss: 0.0345 2022/06/20 20:24:18 - mmengine - INFO - Iter(train) [115800/200000] lr: 1.509e-04 eta: 12:31:13 time: 0.461 data_time: 0.045 memory: 7433 loss: 0.0398 2022/06/20 20:25:05 - mmengine - INFO - Iter(train) [115900/200000] lr: 1.506e-04 eta: 12:30:14 time: 0.465 data_time: 0.044 memory: 7431 loss: 0.0335 2022/06/20 20:25:52 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 20:25:52 - mmengine - INFO - Iter(train) [116000/200000] lr: 1.503e-04 eta: 12:29:17 time: 0.487 data_time: 0.046 memory: 7432 loss: 0.0346 2022/06/20 20:26:39 - mmengine - INFO - Iter(train) [116100/200000] lr: 1.500e-04 eta: 12:28:18 time: 0.466 data_time: 0.053 memory: 7433 loss: 0.0406 2022/06/20 20:27:26 - mmengine - INFO - Iter(train) [116200/200000] lr: 1.497e-04 eta: 12:27:20 time: 0.460 data_time: 0.041 memory: 7431 loss: 0.0363 2022/06/20 20:28:15 - mmengine - INFO - Iter(train) [116300/200000] lr: 1.494e-04 eta: 12:26:23 time: 0.452 data_time: 0.054 memory: 7432 loss: 0.0329 2022/06/20 20:29:01 - mmengine - INFO - Iter(train) [116400/200000] lr: 1.490e-04 eta: 12:25:24 time: 0.452 data_time: 0.042 memory: 7429 loss: 0.0394 2022/06/20 20:29:49 - mmengine - INFO - Iter(train) [116500/200000] lr: 1.487e-04 eta: 12:24:26 time: 0.500 data_time: 0.046 memory: 7432 loss: 0.0368 2022/06/20 20:30:38 - mmengine - INFO - Iter(train) [116600/200000] lr: 1.484e-04 eta: 12:23:30 time: 0.471 data_time: 0.038 memory: 7432 loss: 0.0390 2022/06/20 20:31:25 - mmengine - INFO - Iter(train) [116700/200000] lr: 1.481e-04 eta: 12:22:32 time: 0.467 data_time: 0.041 memory: 7431 loss: 0.0383 2022/06/20 20:32:12 - mmengine - INFO - Iter(train) [116800/200000] lr: 1.478e-04 eta: 12:21:34 time: 0.496 data_time: 0.061 memory: 7430 loss: 0.0423 2022/06/20 20:32:59 - mmengine - INFO - Iter(train) [116900/200000] lr: 1.475e-04 eta: 12:20:35 time: 0.457 data_time: 0.050 memory: 7431 loss: 0.0403 2022/06/20 20:33:45 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 20:33:45 - mmengine - INFO - Iter(train) [117000/200000] lr: 1.472e-04 eta: 12:19:37 time: 0.464 data_time: 0.053 memory: 7432 loss: 0.0435 2022/06/20 20:34:31 - mmengine - INFO - Iter(train) [117100/200000] lr: 1.469e-04 eta: 12:18:38 time: 0.451 data_time: 0.033 memory: 7432 loss: 0.0401 2022/06/20 20:35:19 - mmengine - INFO - Iter(train) [117200/200000] lr: 1.466e-04 eta: 12:17:40 time: 0.459 data_time: 0.050 memory: 7431 loss: 0.0404 2022/06/20 20:36:07 - mmengine - INFO - Iter(train) [117300/200000] lr: 1.463e-04 eta: 12:16:43 time: 0.473 data_time: 0.043 memory: 7430 loss: 0.0395 2022/06/20 20:36:54 - mmengine - INFO - Iter(train) [117400/200000] lr: 1.460e-04 eta: 12:15:45 time: 0.497 data_time: 0.073 memory: 7434 loss: 0.0406 2022/06/20 20:37:41 - mmengine - INFO - Iter(train) [117500/200000] lr: 1.457e-04 eta: 12:14:47 time: 0.501 data_time: 0.053 memory: 7434 loss: 0.0379 2022/06/20 20:38:31 - mmengine - INFO - Iter(train) [117600/200000] lr: 1.454e-04 eta: 12:13:51 time: 0.478 data_time: 0.051 memory: 7432 loss: 0.0396 2022/06/20 20:39:18 - mmengine - INFO - Iter(train) [117700/200000] lr: 1.451e-04 eta: 12:12:53 time: 0.476 data_time: 0.044 memory: 7432 loss: 0.0315 2022/06/20 20:40:04 - mmengine - INFO - Iter(train) [117800/200000] lr: 1.448e-04 eta: 12:11:54 time: 0.470 data_time: 0.037 memory: 7431 loss: 0.0374 2022/06/20 20:40:51 - mmengine - INFO - Iter(train) [117900/200000] lr: 1.445e-04 eta: 12:10:57 time: 0.485 data_time: 0.065 memory: 7433 loss: 0.0361 2022/06/20 20:41:38 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 20:41:38 - mmengine - INFO - Iter(train) [118000/200000] lr: 1.442e-04 eta: 12:09:59 time: 0.469 data_time: 0.048 memory: 7432 loss: 0.0360 2022/06/20 20:42:25 - mmengine - INFO - Iter(train) [118100/200000] lr: 1.439e-04 eta: 12:09:01 time: 0.459 data_time: 0.048 memory: 7434 loss: 0.0370 2022/06/20 20:43:11 - mmengine - INFO - Iter(train) [118200/200000] lr: 1.436e-04 eta: 12:08:02 time: 0.453 data_time: 0.044 memory: 7430 loss: 0.0324 2022/06/20 20:43:59 - mmengine - INFO - Iter(train) [118300/200000] lr: 1.433e-04 eta: 12:07:05 time: 0.461 data_time: 0.041 memory: 7430 loss: 0.0387 2022/06/20 20:44:45 - mmengine - INFO - Iter(train) [118400/200000] lr: 1.430e-04 eta: 12:06:07 time: 0.468 data_time: 0.049 memory: 7431 loss: 0.0406 2022/06/20 20:45:32 - mmengine - INFO - Iter(train) [118500/200000] lr: 1.427e-04 eta: 12:05:09 time: 0.456 data_time: 0.034 memory: 7433 loss: 0.0413 2022/06/20 20:46:19 - mmengine - INFO - Iter(train) [118600/200000] lr: 1.424e-04 eta: 12:04:11 time: 0.480 data_time: 0.064 memory: 7431 loss: 0.0376 2022/06/20 20:47:07 - mmengine - INFO - Iter(train) [118700/200000] lr: 1.421e-04 eta: 12:03:14 time: 0.459 data_time: 0.044 memory: 7433 loss: 0.0435 2022/06/20 20:47:55 - mmengine - INFO - Iter(train) [118800/200000] lr: 1.418e-04 eta: 12:02:16 time: 0.486 data_time: 0.045 memory: 7434 loss: 0.0384 2022/06/20 20:48:42 - mmengine - INFO - Iter(train) [118900/200000] lr: 1.415e-04 eta: 12:01:19 time: 0.456 data_time: 0.051 memory: 7429 loss: 0.0378 2022/06/20 20:49:29 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 20:49:29 - mmengine - INFO - Iter(train) [119000/200000] lr: 1.412e-04 eta: 12:00:21 time: 0.471 data_time: 0.064 memory: 7432 loss: 0.0389 2022/06/20 20:50:16 - mmengine - INFO - Iter(train) [119100/200000] lr: 1.409e-04 eta: 11:59:23 time: 0.457 data_time: 0.040 memory: 7430 loss: 0.0376 2022/06/20 20:51:03 - mmengine - INFO - Iter(train) [119200/200000] lr: 1.406e-04 eta: 11:58:26 time: 0.456 data_time: 0.039 memory: 7430 loss: 0.0354 2022/06/20 20:51:50 - mmengine - INFO - Iter(train) [119300/200000] lr: 1.403e-04 eta: 11:57:28 time: 0.472 data_time: 0.042 memory: 7430 loss: 0.0380 2022/06/20 20:52:36 - mmengine - INFO - Iter(train) [119400/200000] lr: 1.400e-04 eta: 11:56:29 time: 0.438 data_time: 0.035 memory: 7432 loss: 0.0367 2022/06/20 20:53:21 - mmengine - INFO - Iter(train) [119500/200000] lr: 1.397e-04 eta: 11:55:31 time: 0.471 data_time: 0.041 memory: 7430 loss: 0.0351 2022/06/20 20:54:08 - mmengine - INFO - Iter(train) [119600/200000] lr: 1.394e-04 eta: 11:54:33 time: 0.456 data_time: 0.039 memory: 7430 loss: 0.0387 2022/06/20 20:54:53 - mmengine - INFO - Iter(train) [119700/200000] lr: 1.391e-04 eta: 11:53:34 time: 0.440 data_time: 0.039 memory: 7430 loss: 0.0346 2022/06/20 20:55:39 - mmengine - INFO - Iter(train) [119800/200000] lr: 1.388e-04 eta: 11:52:36 time: 0.462 data_time: 0.043 memory: 7430 loss: 0.0374 2022/06/20 20:56:25 - mmengine - INFO - Iter(train) [119900/200000] lr: 1.385e-04 eta: 11:51:38 time: 0.466 data_time: 0.041 memory: 7430 loss: 0.0360 2022/06/20 20:57:11 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 20:57:11 - mmengine - INFO - Iter(train) [120000/200000] lr: 1.382e-04 eta: 11:50:40 time: 0.456 data_time: 0.037 memory: 7432 loss: 0.0385 2022/06/20 20:57:11 - mmengine - INFO - Saving checkpoint at 120000 iterations 2022/06/20 20:58:07 - mmengine - INFO - Iter(val) [100/250] eta: 0:01:13 time: 0.493 data_time: 0.022 memory: 2343 2022/06/20 20:58:54 - mmengine - INFO - Iter(val) [200/250] eta: 0:00:23 time: 0.476 data_time: 0.022 memory: 2001 2022/06/20 20:59:21 - mmengine - INFO - Iter(val) [250/250] SAD: 37.1173 MattingMSE: 0.0086 GradientError: 17.9835 ConnectivityError: 34.8353 2022/06/20 21:00:06 - mmengine - INFO - Iter(train) [120100/200000] lr: 1.379e-04 eta: 11:49:41 time: 0.460 data_time: 0.042 memory: 7430 loss: 0.0348 2022/06/20 21:00:52 - mmengine - INFO - Iter(train) [120200/200000] lr: 1.376e-04 eta: 11:48:43 time: 0.434 data_time: 0.033 memory: 7431 loss: 0.0349 2022/06/20 21:01:38 - mmengine - INFO - Iter(train) [120300/200000] lr: 1.373e-04 eta: 11:47:45 time: 0.453 data_time: 0.040 memory: 7433 loss: 0.0368 2022/06/20 21:02:25 - mmengine - INFO - Iter(train) [120400/200000] lr: 1.370e-04 eta: 11:46:47 time: 0.478 data_time: 0.046 memory: 7433 loss: 0.0343 2022/06/20 21:03:12 - mmengine - INFO - Iter(train) [120500/200000] lr: 1.367e-04 eta: 11:45:50 time: 0.475 data_time: 0.044 memory: 7431 loss: 0.0354 2022/06/20 21:03:59 - mmengine - INFO - Iter(train) [120600/200000] lr: 1.364e-04 eta: 11:44:53 time: 0.462 data_time: 0.046 memory: 7431 loss: 0.0361 2022/06/20 21:04:47 - mmengine - INFO - Iter(train) [120700/200000] lr: 1.361e-04 eta: 11:43:56 time: 0.479 data_time: 0.047 memory: 7431 loss: 0.0316 2022/06/20 21:05:33 - mmengine - INFO - Iter(train) [120800/200000] lr: 1.358e-04 eta: 11:42:58 time: 0.453 data_time: 0.044 memory: 7431 loss: 0.0381 2022/06/20 21:06:20 - mmengine - INFO - Iter(train) [120900/200000] lr: 1.355e-04 eta: 11:42:00 time: 0.458 data_time: 0.041 memory: 7432 loss: 0.0348 2022/06/20 21:07:07 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 21:07:07 - mmengine - INFO - Iter(train) [121000/200000] lr: 1.352e-04 eta: 11:41:03 time: 0.453 data_time: 0.037 memory: 7431 loss: 0.0361 2022/06/20 21:07:53 - mmengine - INFO - Iter(train) [121100/200000] lr: 1.349e-04 eta: 11:40:05 time: 0.473 data_time: 0.040 memory: 7430 loss: 0.0420 2022/06/20 21:08:40 - mmengine - INFO - Iter(train) [121200/200000] lr: 1.346e-04 eta: 11:39:08 time: 0.465 data_time: 0.044 memory: 7432 loss: 0.0403 2022/06/20 21:09:28 - mmengine - INFO - Iter(train) [121300/200000] lr: 1.343e-04 eta: 11:38:11 time: 0.502 data_time: 0.039 memory: 7431 loss: 0.0377 2022/06/20 21:10:16 - mmengine - INFO - Iter(train) [121400/200000] lr: 1.340e-04 eta: 11:37:14 time: 0.525 data_time: 0.044 memory: 7431 loss: 0.0361 2022/06/20 21:11:05 - mmengine - INFO - Iter(train) [121500/200000] lr: 1.337e-04 eta: 11:36:18 time: 0.459 data_time: 0.036 memory: 7432 loss: 0.0398 2022/06/20 21:11:51 - mmengine - INFO - Iter(train) [121600/200000] lr: 1.334e-04 eta: 11:35:20 time: 0.449 data_time: 0.042 memory: 7432 loss: 0.0350 2022/06/20 21:12:38 - mmengine - INFO - Iter(train) [121700/200000] lr: 1.331e-04 eta: 11:34:23 time: 0.472 data_time: 0.043 memory: 7433 loss: 0.0384 2022/06/20 21:13:25 - mmengine - INFO - Iter(train) [121800/200000] lr: 1.328e-04 eta: 11:33:26 time: 0.468 data_time: 0.055 memory: 7431 loss: 0.0369 2022/06/20 21:14:13 - mmengine - INFO - Iter(train) [121900/200000] lr: 1.326e-04 eta: 11:32:29 time: 0.461 data_time: 0.047 memory: 7431 loss: 0.0414 2022/06/20 21:15:00 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 21:15:00 - mmengine - INFO - Iter(train) [122000/200000] lr: 1.323e-04 eta: 11:31:32 time: 0.457 data_time: 0.042 memory: 7430 loss: 0.0357 2022/06/20 21:15:47 - mmengine - INFO - Iter(train) [122100/200000] lr: 1.320e-04 eta: 11:30:35 time: 0.464 data_time: 0.043 memory: 7431 loss: 0.0343 2022/06/20 21:16:34 - mmengine - INFO - Iter(train) [122200/200000] lr: 1.317e-04 eta: 11:29:38 time: 0.458 data_time: 0.042 memory: 7433 loss: 0.0409 2022/06/20 21:17:21 - mmengine - INFO - Iter(train) [122300/200000] lr: 1.314e-04 eta: 11:28:41 time: 0.464 data_time: 0.043 memory: 7431 loss: 0.0372 2022/06/20 21:18:08 - mmengine - INFO - Iter(train) [122400/200000] lr: 1.311e-04 eta: 11:27:43 time: 0.478 data_time: 0.046 memory: 7429 loss: 0.0398 2022/06/20 21:18:54 - mmengine - INFO - Iter(train) [122500/200000] lr: 1.308e-04 eta: 11:26:46 time: 0.465 data_time: 0.036 memory: 7430 loss: 0.0372 2022/06/20 21:19:44 - mmengine - INFO - Iter(train) [122600/200000] lr: 1.305e-04 eta: 11:25:50 time: 0.471 data_time: 0.042 memory: 7430 loss: 0.0317 2022/06/20 21:20:30 - mmengine - INFO - Iter(train) [122700/200000] lr: 1.302e-04 eta: 11:24:53 time: 0.466 data_time: 0.061 memory: 7429 loss: 0.0365 2022/06/20 21:21:17 - mmengine - INFO - Iter(train) [122800/200000] lr: 1.299e-04 eta: 11:23:56 time: 0.473 data_time: 0.036 memory: 7432 loss: 0.0376 2022/06/20 21:22:04 - mmengine - INFO - Iter(train) [122900/200000] lr: 1.296e-04 eta: 11:22:59 time: 0.466 data_time: 0.055 memory: 7433 loss: 0.0388 2022/06/20 21:22:53 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 21:22:53 - mmengine - INFO - Iter(train) [123000/200000] lr: 1.293e-04 eta: 11:22:03 time: 0.479 data_time: 0.049 memory: 7432 loss: 0.0370 2022/06/20 21:23:41 - mmengine - INFO - Iter(train) [123100/200000] lr: 1.290e-04 eta: 11:21:06 time: 0.479 data_time: 0.063 memory: 7432 loss: 0.0348 2022/06/20 21:24:31 - mmengine - INFO - Iter(train) [123200/200000] lr: 1.287e-04 eta: 11:20:12 time: 0.463 data_time: 0.036 memory: 7430 loss: 0.0423 2022/06/20 21:25:19 - mmengine - INFO - Iter(train) [123300/200000] lr: 1.284e-04 eta: 11:19:15 time: 0.474 data_time: 0.044 memory: 7433 loss: 0.0372 2022/06/20 21:26:06 - mmengine - INFO - Iter(train) [123400/200000] lr: 1.281e-04 eta: 11:18:18 time: 0.487 data_time: 0.052 memory: 7432 loss: 0.0304 2022/06/20 21:26:54 - mmengine - INFO - Iter(train) [123500/200000] lr: 1.278e-04 eta: 11:17:22 time: 0.503 data_time: 0.037 memory: 7431 loss: 0.0330 2022/06/20 21:27:40 - mmengine - INFO - Iter(train) [123600/200000] lr: 1.275e-04 eta: 11:16:24 time: 0.446 data_time: 0.036 memory: 7430 loss: 0.0356 2022/06/20 21:28:28 - mmengine - INFO - Iter(train) [123700/200000] lr: 1.273e-04 eta: 11:15:28 time: 0.473 data_time: 0.047 memory: 7432 loss: 0.0394 2022/06/20 21:29:15 - mmengine - INFO - Iter(train) [123800/200000] lr: 1.270e-04 eta: 11:14:31 time: 0.483 data_time: 0.047 memory: 7433 loss: 0.0363 2022/06/20 21:30:01 - mmengine - INFO - Iter(train) [123900/200000] lr: 1.267e-04 eta: 11:13:33 time: 0.447 data_time: 0.043 memory: 7431 loss: 0.0354 2022/06/20 21:30:46 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 21:30:46 - mmengine - INFO - Iter(train) [124000/200000] lr: 1.264e-04 eta: 11:12:35 time: 0.446 data_time: 0.047 memory: 7432 loss: 0.0327 2022/06/20 21:31:32 - mmengine - INFO - Iter(train) [124100/200000] lr: 1.261e-04 eta: 11:11:38 time: 0.460 data_time: 0.049 memory: 7432 loss: 0.0360 2022/06/20 21:32:17 - mmengine - INFO - Iter(train) [124200/200000] lr: 1.258e-04 eta: 11:10:40 time: 0.446 data_time: 0.038 memory: 7430 loss: 0.0375 2022/06/20 21:33:04 - mmengine - INFO - Iter(train) [124300/200000] lr: 1.255e-04 eta: 11:09:43 time: 0.456 data_time: 0.038 memory: 7431 loss: 0.0362 2022/06/20 21:33:50 - mmengine - INFO - Iter(train) [124400/200000] lr: 1.252e-04 eta: 11:08:46 time: 0.452 data_time: 0.039 memory: 7431 loss: 0.0381 2022/06/20 21:34:37 - mmengine - INFO - Iter(train) [124500/200000] lr: 1.249e-04 eta: 11:07:48 time: 0.446 data_time: 0.038 memory: 7432 loss: 0.0381 2022/06/20 21:35:22 - mmengine - INFO - Iter(train) [124600/200000] lr: 1.246e-04 eta: 11:06:51 time: 0.445 data_time: 0.042 memory: 7431 loss: 0.0346 2022/06/20 21:36:07 - mmengine - INFO - Iter(train) [124700/200000] lr: 1.243e-04 eta: 11:05:53 time: 0.453 data_time: 0.051 memory: 7430 loss: 0.0355 2022/06/20 21:36:54 - mmengine - INFO - Iter(train) [124800/200000] lr: 1.240e-04 eta: 11:04:56 time: 0.464 data_time: 0.056 memory: 7431 loss: 0.0398 2022/06/20 21:37:39 - mmengine - INFO - Iter(train) [124900/200000] lr: 1.238e-04 eta: 11:03:58 time: 0.453 data_time: 0.049 memory: 7430 loss: 0.0368 2022/06/20 21:38:26 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 21:38:26 - mmengine - INFO - Iter(train) [125000/200000] lr: 1.235e-04 eta: 11:03:01 time: 0.460 data_time: 0.037 memory: 7432 loss: 0.0344 2022/06/20 21:39:12 - mmengine - INFO - Iter(train) [125100/200000] lr: 1.232e-04 eta: 11:02:04 time: 0.461 data_time: 0.038 memory: 7429 loss: 0.0380 2022/06/20 21:39:59 - mmengine - INFO - Iter(train) [125200/200000] lr: 1.229e-04 eta: 11:01:07 time: 0.453 data_time: 0.050 memory: 7431 loss: 0.0363 2022/06/20 21:40:46 - mmengine - INFO - Iter(train) [125300/200000] lr: 1.226e-04 eta: 11:00:11 time: 0.479 data_time: 0.036 memory: 7430 loss: 0.0375 2022/06/20 21:41:33 - mmengine - INFO - Iter(train) [125400/200000] lr: 1.223e-04 eta: 10:59:14 time: 0.467 data_time: 0.039 memory: 7430 loss: 0.0351 2022/06/20 21:42:21 - mmengine - INFO - Iter(train) [125500/200000] lr: 1.220e-04 eta: 10:58:18 time: 0.462 data_time: 0.038 memory: 7431 loss: 0.0341 2022/06/20 21:43:09 - mmengine - INFO - Iter(train) [125600/200000] lr: 1.217e-04 eta: 10:57:22 time: 0.474 data_time: 0.041 memory: 7431 loss: 0.0361 2022/06/20 21:43:55 - mmengine - INFO - Iter(train) [125700/200000] lr: 1.214e-04 eta: 10:56:25 time: 0.468 data_time: 0.045 memory: 7431 loss: 0.0387 2022/06/20 21:44:41 - mmengine - INFO - Iter(train) [125800/200000] lr: 1.212e-04 eta: 10:55:28 time: 0.457 data_time: 0.041 memory: 7430 loss: 0.0322 2022/06/20 21:45:29 - mmengine - INFO - Iter(train) [125900/200000] lr: 1.209e-04 eta: 10:54:32 time: 0.485 data_time: 0.053 memory: 7431 loss: 0.0360 2022/06/20 21:46:17 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 21:46:17 - mmengine - INFO - Iter(train) [126000/200000] lr: 1.206e-04 eta: 10:53:36 time: 0.454 data_time: 0.030 memory: 7432 loss: 0.0351 2022/06/20 21:47:05 - mmengine - INFO - Iter(train) [126100/200000] lr: 1.203e-04 eta: 10:52:39 time: 0.467 data_time: 0.043 memory: 7430 loss: 0.0361 2022/06/20 21:47:55 - mmengine - INFO - Iter(train) [126200/200000] lr: 1.200e-04 eta: 10:51:45 time: 0.483 data_time: 0.055 memory: 7430 loss: 0.0399 2022/06/20 21:48:41 - mmengine - INFO - Iter(train) [126300/200000] lr: 1.197e-04 eta: 10:50:48 time: 0.459 data_time: 0.039 memory: 7431 loss: 0.0357 2022/06/20 21:49:28 - mmengine - INFO - Iter(train) [126400/200000] lr: 1.194e-04 eta: 10:49:51 time: 0.464 data_time: 0.050 memory: 7432 loss: 0.0358 2022/06/20 21:50:16 - mmengine - INFO - Iter(train) [126500/200000] lr: 1.191e-04 eta: 10:48:55 time: 0.474 data_time: 0.050 memory: 7433 loss: 0.0355 2022/06/20 21:51:05 - mmengine - INFO - Iter(train) [126600/200000] lr: 1.188e-04 eta: 10:48:00 time: 0.471 data_time: 0.051 memory: 7431 loss: 0.0392 2022/06/20 21:51:52 - mmengine - INFO - Iter(train) [126700/200000] lr: 1.186e-04 eta: 10:47:03 time: 0.496 data_time: 0.072 memory: 7431 loss: 0.0350 2022/06/20 21:52:39 - mmengine - INFO - Iter(train) [126800/200000] lr: 1.183e-04 eta: 10:46:07 time: 0.462 data_time: 0.043 memory: 7430 loss: 0.0375 2022/06/20 21:53:26 - mmengine - INFO - Iter(train) [126900/200000] lr: 1.180e-04 eta: 10:45:11 time: 0.466 data_time: 0.042 memory: 7432 loss: 0.0350 2022/06/20 21:54:14 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 21:54:14 - mmengine - INFO - Iter(train) [127000/200000] lr: 1.177e-04 eta: 10:44:15 time: 0.507 data_time: 0.044 memory: 7431 loss: 0.0356 2022/06/20 21:55:00 - mmengine - INFO - Iter(train) [127100/200000] lr: 1.174e-04 eta: 10:43:18 time: 0.484 data_time: 0.043 memory: 7430 loss: 0.0339 2022/06/20 21:55:47 - mmengine - INFO - Iter(train) [127200/200000] lr: 1.171e-04 eta: 10:42:22 time: 0.457 data_time: 0.039 memory: 7431 loss: 0.0398 2022/06/20 21:56:36 - mmengine - INFO - Iter(train) [127300/200000] lr: 1.168e-04 eta: 10:41:26 time: 0.453 data_time: 0.045 memory: 7430 loss: 0.0371 2022/06/20 21:57:23 - mmengine - INFO - Iter(train) [127400/200000] lr: 1.166e-04 eta: 10:40:30 time: 0.468 data_time: 0.058 memory: 7431 loss: 0.0364 2022/06/20 21:58:11 - mmengine - INFO - Iter(train) [127500/200000] lr: 1.163e-04 eta: 10:39:34 time: 0.472 data_time: 0.037 memory: 7432 loss: 0.0360 2022/06/20 21:58:57 - mmengine - INFO - Iter(train) [127600/200000] lr: 1.160e-04 eta: 10:38:37 time: 0.456 data_time: 0.041 memory: 7431 loss: 0.0329 2022/06/20 21:59:43 - mmengine - INFO - Iter(train) [127700/200000] lr: 1.157e-04 eta: 10:37:41 time: 0.449 data_time: 0.046 memory: 7433 loss: 0.0350 2022/06/20 22:00:30 - mmengine - INFO - Iter(train) [127800/200000] lr: 1.154e-04 eta: 10:36:44 time: 0.448 data_time: 0.046 memory: 7429 loss: 0.0367 2022/06/20 22:01:19 - mmengine - INFO - Iter(train) [127900/200000] lr: 1.151e-04 eta: 10:35:49 time: 0.456 data_time: 0.041 memory: 7432 loss: 0.0383 2022/06/20 22:02:07 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 22:02:07 - mmengine - INFO - Iter(train) [128000/200000] lr: 1.148e-04 eta: 10:34:53 time: 0.507 data_time: 0.051 memory: 7432 loss: 0.0372 2022/06/20 22:02:54 - mmengine - INFO - Iter(train) [128100/200000] lr: 1.146e-04 eta: 10:33:57 time: 0.459 data_time: 0.047 memory: 7432 loss: 0.0416 2022/06/20 22:03:41 - mmengine - INFO - Iter(train) [128200/200000] lr: 1.143e-04 eta: 10:33:00 time: 0.453 data_time: 0.039 memory: 7431 loss: 0.0463 2022/06/20 22:04:28 - mmengine - INFO - Iter(train) [128300/200000] lr: 1.140e-04 eta: 10:32:04 time: 0.463 data_time: 0.052 memory: 7435 loss: 0.0384 2022/06/20 22:05:15 - mmengine - INFO - Iter(train) [128400/200000] lr: 1.137e-04 eta: 10:31:08 time: 0.489 data_time: 0.038 memory: 7431 loss: 0.0370 2022/06/20 22:06:03 - mmengine - INFO - Iter(train) [128500/200000] lr: 1.134e-04 eta: 10:30:13 time: 0.473 data_time: 0.048 memory: 7430 loss: 0.0362 2022/06/20 22:06:50 - mmengine - INFO - Iter(train) [128600/200000] lr: 1.131e-04 eta: 10:29:16 time: 0.493 data_time: 0.038 memory: 7433 loss: 0.0367 2022/06/20 22:07:36 - mmengine - INFO - Iter(train) [128700/200000] lr: 1.129e-04 eta: 10:28:20 time: 0.457 data_time: 0.049 memory: 7430 loss: 0.0402 2022/06/20 22:08:22 - mmengine - INFO - Iter(train) [128800/200000] lr: 1.126e-04 eta: 10:27:23 time: 0.460 data_time: 0.037 memory: 7432 loss: 0.0449 2022/06/20 22:09:08 - mmengine - INFO - Iter(train) [128900/200000] lr: 1.123e-04 eta: 10:26:26 time: 0.452 data_time: 0.060 memory: 7432 loss: 0.0355 2022/06/20 22:09:53 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 22:09:53 - mmengine - INFO - Iter(train) [129000/200000] lr: 1.120e-04 eta: 10:25:29 time: 0.446 data_time: 0.040 memory: 7432 loss: 0.0381 2022/06/20 22:10:39 - mmengine - INFO - Iter(train) [129100/200000] lr: 1.117e-04 eta: 10:24:32 time: 0.453 data_time: 0.049 memory: 7429 loss: 0.0357 2022/06/20 22:11:25 - mmengine - INFO - Iter(train) [129200/200000] lr: 1.115e-04 eta: 10:23:36 time: 0.448 data_time: 0.041 memory: 7431 loss: 0.0375 2022/06/20 22:12:10 - mmengine - INFO - Iter(train) [129300/200000] lr: 1.112e-04 eta: 10:22:39 time: 0.446 data_time: 0.041 memory: 7431 loss: 0.0323 2022/06/20 22:12:56 - mmengine - INFO - Iter(train) [129400/200000] lr: 1.109e-04 eta: 10:21:42 time: 0.435 data_time: 0.032 memory: 7430 loss: 0.0396 2022/06/20 22:13:41 - mmengine - INFO - Iter(train) [129500/200000] lr: 1.106e-04 eta: 10:20:45 time: 0.443 data_time: 0.040 memory: 7429 loss: 0.0403 2022/06/20 22:14:27 - mmengine - INFO - Iter(train) [129600/200000] lr: 1.103e-04 eta: 10:19:48 time: 0.441 data_time: 0.037 memory: 7430 loss: 0.0401 2022/06/20 22:15:13 - mmengine - INFO - Iter(train) [129700/200000] lr: 1.100e-04 eta: 10:18:52 time: 0.446 data_time: 0.040 memory: 7429 loss: 0.0330 2022/06/20 22:15:59 - mmengine - INFO - Iter(train) [129800/200000] lr: 1.098e-04 eta: 10:17:55 time: 0.453 data_time: 0.038 memory: 7428 loss: 0.0375 2022/06/20 22:16:45 - mmengine - INFO - Iter(train) [129900/200000] lr: 1.095e-04 eta: 10:16:59 time: 0.473 data_time: 0.058 memory: 7430 loss: 0.0401 2022/06/20 22:17:33 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 22:17:33 - mmengine - INFO - Iter(train) [130000/200000] lr: 1.092e-04 eta: 10:16:03 time: 0.461 data_time: 0.043 memory: 7430 loss: 0.0356 2022/06/20 22:17:33 - mmengine - INFO - Saving checkpoint at 130000 iterations 2022/06/20 22:18:29 - mmengine - INFO - Iter(val) [100/250] eta: 0:01:15 time: 0.501 data_time: 0.029 memory: 2345 2022/06/20 22:19:16 - mmengine - INFO - Iter(val) [200/250] eta: 0:00:24 time: 0.489 data_time: 0.027 memory: 2000 2022/06/20 22:19:43 - mmengine - INFO - Iter(val) [250/250] SAD: 40.5949 MattingMSE: 0.0114 GradientError: 19.2953 ConnectivityError: 39.1068 2022/06/20 22:20:30 - mmengine - INFO - Iter(train) [130100/200000] lr: 1.089e-04 eta: 10:15:07 time: 0.482 data_time: 0.048 memory: 7430 loss: 0.0338 2022/06/20 22:21:17 - mmengine - INFO - Iter(train) [130200/200000] lr: 1.086e-04 eta: 10:14:11 time: 0.458 data_time: 0.034 memory: 7432 loss: 0.0350 2022/06/20 22:22:03 - mmengine - INFO - Iter(train) [130300/200000] lr: 1.084e-04 eta: 10:13:15 time: 0.477 data_time: 0.071 memory: 7434 loss: 0.0393 2022/06/20 22:22:51 - mmengine - INFO - Iter(train) [130400/200000] lr: 1.081e-04 eta: 10:12:19 time: 0.477 data_time: 0.036 memory: 7431 loss: 0.0355 2022/06/20 22:23:38 - mmengine - INFO - Iter(train) [130500/200000] lr: 1.078e-04 eta: 10:11:23 time: 0.461 data_time: 0.044 memory: 7431 loss: 0.0360 2022/06/20 22:24:25 - mmengine - INFO - Iter(train) [130600/200000] lr: 1.075e-04 eta: 10:10:28 time: 0.483 data_time: 0.061 memory: 7432 loss: 0.0362 2022/06/20 22:25:13 - mmengine - INFO - Iter(train) [130700/200000] lr: 1.073e-04 eta: 10:09:32 time: 0.503 data_time: 0.064 memory: 7430 loss: 0.0367 2022/06/20 22:26:00 - mmengine - INFO - Iter(train) [130800/200000] lr: 1.070e-04 eta: 10:08:36 time: 0.473 data_time: 0.043 memory: 7429 loss: 0.0379 2022/06/20 22:26:47 - mmengine - INFO - Iter(train) [130900/200000] lr: 1.067e-04 eta: 10:07:40 time: 0.455 data_time: 0.035 memory: 7431 loss: 0.0356 2022/06/20 22:27:35 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 22:27:35 - mmengine - INFO - Iter(train) [131000/200000] lr: 1.064e-04 eta: 10:06:45 time: 0.459 data_time: 0.049 memory: 7434 loss: 0.0346 2022/06/20 22:28:22 - mmengine - INFO - Iter(train) [131100/200000] lr: 1.061e-04 eta: 10:05:49 time: 0.448 data_time: 0.037 memory: 7430 loss: 0.0337 2022/06/20 22:29:09 - mmengine - INFO - Iter(train) [131200/200000] lr: 1.059e-04 eta: 10:04:54 time: 0.452 data_time: 0.053 memory: 7430 loss: 0.0380 2022/06/20 22:30:00 - mmengine - INFO - Iter(train) [131300/200000] lr: 1.056e-04 eta: 10:04:00 time: 0.862 data_time: 0.438 memory: 7432 loss: 0.0373 2022/06/20 22:30:47 - mmengine - INFO - Iter(train) [131400/200000] lr: 1.053e-04 eta: 10:03:04 time: 0.476 data_time: 0.056 memory: 7430 loss: 0.0392 2022/06/20 22:31:34 - mmengine - INFO - Iter(train) [131500/200000] lr: 1.050e-04 eta: 10:02:08 time: 0.483 data_time: 0.048 memory: 7431 loss: 0.0357 2022/06/20 22:32:22 - mmengine - INFO - Iter(train) [131600/200000] lr: 1.048e-04 eta: 10:01:13 time: 0.488 data_time: 0.042 memory: 7431 loss: 0.0341 2022/06/20 22:33:10 - mmengine - INFO - Iter(train) [131700/200000] lr: 1.045e-04 eta: 10:00:18 time: 0.488 data_time: 0.043 memory: 7430 loss: 0.0383 2022/06/20 22:33:57 - mmengine - INFO - Iter(train) [131800/200000] lr: 1.042e-04 eta: 9:59:22 time: 0.460 data_time: 0.043 memory: 7432 loss: 0.0387 2022/06/20 22:34:44 - mmengine - INFO - Iter(train) [131900/200000] lr: 1.039e-04 eta: 9:58:26 time: 0.472 data_time: 0.040 memory: 7432 loss: 0.0349 2022/06/20 22:35:31 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 22:35:31 - mmengine - INFO - Iter(train) [132000/200000] lr: 1.037e-04 eta: 9:57:31 time: 0.480 data_time: 0.048 memory: 7429 loss: 0.0363 2022/06/20 22:36:18 - mmengine - INFO - Iter(train) [132100/200000] lr: 1.034e-04 eta: 9:56:35 time: 0.474 data_time: 0.050 memory: 7431 loss: 0.0361 2022/06/20 22:37:06 - mmengine - INFO - Iter(train) [132200/200000] lr: 1.031e-04 eta: 9:55:40 time: 0.458 data_time: 0.053 memory: 7433 loss: 0.0368 2022/06/20 22:37:53 - mmengine - INFO - Iter(train) [132300/200000] lr: 1.028e-04 eta: 9:54:44 time: 0.450 data_time: 0.045 memory: 7430 loss: 0.0360 2022/06/20 22:38:39 - mmengine - INFO - Iter(train) [132400/200000] lr: 1.026e-04 eta: 9:53:48 time: 0.457 data_time: 0.040 memory: 7433 loss: 0.0373 2022/06/20 22:39:27 - mmengine - INFO - Iter(train) [132500/200000] lr: 1.023e-04 eta: 9:52:53 time: 0.468 data_time: 0.044 memory: 7429 loss: 0.0349 2022/06/20 22:40:14 - mmengine - INFO - Iter(train) [132600/200000] lr: 1.020e-04 eta: 9:51:57 time: 0.470 data_time: 0.032 memory: 7430 loss: 0.0321 2022/06/20 22:41:02 - mmengine - INFO - Iter(train) [132700/200000] lr: 1.017e-04 eta: 9:51:02 time: 0.482 data_time: 0.044 memory: 7430 loss: 0.0368 2022/06/20 22:41:49 - mmengine - INFO - Iter(train) [132800/200000] lr: 1.015e-04 eta: 9:50:06 time: 0.475 data_time: 0.043 memory: 7431 loss: 0.0398 2022/06/20 22:42:35 - mmengine - INFO - Iter(train) [132900/200000] lr: 1.012e-04 eta: 9:49:10 time: 0.455 data_time: 0.043 memory: 7431 loss: 0.0395 2022/06/20 22:43:22 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 22:43:22 - mmengine - INFO - Iter(train) [133000/200000] lr: 1.009e-04 eta: 9:48:15 time: 0.464 data_time: 0.036 memory: 7434 loss: 0.0386 2022/06/20 22:44:09 - mmengine - INFO - Iter(train) [133100/200000] lr: 1.006e-04 eta: 9:47:19 time: 0.464 data_time: 0.040 memory: 7432 loss: 0.0352 2022/06/20 22:44:56 - mmengine - INFO - Iter(train) [133200/200000] lr: 1.004e-04 eta: 9:46:23 time: 0.449 data_time: 0.044 memory: 7433 loss: 0.0361 2022/06/20 22:45:41 - mmengine - INFO - Iter(train) [133300/200000] lr: 1.001e-04 eta: 9:45:27 time: 0.442 data_time: 0.039 memory: 7431 loss: 0.0352 2022/06/20 22:46:26 - mmengine - INFO - Iter(train) [133400/200000] lr: 9.982e-05 eta: 9:44:30 time: 0.441 data_time: 0.039 memory: 7432 loss: 0.0384 2022/06/20 22:47:13 - mmengine - INFO - Iter(train) [133500/200000] lr: 9.955e-05 eta: 9:43:35 time: 0.448 data_time: 0.040 memory: 7430 loss: 0.0346 2022/06/20 22:47:58 - mmengine - INFO - Iter(train) [133600/200000] lr: 9.928e-05 eta: 9:42:39 time: 0.461 data_time: 0.047 memory: 7432 loss: 0.0369 2022/06/20 22:48:44 - mmengine - INFO - Iter(train) [133700/200000] lr: 9.901e-05 eta: 9:41:43 time: 0.464 data_time: 0.044 memory: 7430 loss: 0.0410 2022/06/20 22:49:29 - mmengine - INFO - Iter(train) [133800/200000] lr: 9.874e-05 eta: 9:40:46 time: 0.451 data_time: 0.042 memory: 7430 loss: 0.0392 2022/06/20 22:50:16 - mmengine - INFO - Iter(train) [133900/200000] lr: 9.846e-05 eta: 9:39:50 time: 0.459 data_time: 0.045 memory: 7430 loss: 0.0360 2022/06/20 22:51:02 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 22:51:02 - mmengine - INFO - Iter(train) [134000/200000] lr: 9.819e-05 eta: 9:38:55 time: 0.468 data_time: 0.057 memory: 7429 loss: 0.0408 2022/06/20 22:51:47 - mmengine - INFO - Iter(train) [134100/200000] lr: 9.792e-05 eta: 9:37:58 time: 0.441 data_time: 0.039 memory: 7433 loss: 0.0355 2022/06/20 22:52:33 - mmengine - INFO - Iter(train) [134200/200000] lr: 9.765e-05 eta: 9:37:02 time: 0.448 data_time: 0.033 memory: 7432 loss: 0.0348 2022/06/20 22:53:19 - mmengine - INFO - Iter(train) [134300/200000] lr: 9.738e-05 eta: 9:36:06 time: 0.455 data_time: 0.032 memory: 7431 loss: 0.0360 2022/06/20 22:54:05 - mmengine - INFO - Iter(train) [134400/200000] lr: 9.711e-05 eta: 9:35:11 time: 0.466 data_time: 0.051 memory: 7433 loss: 0.0396 2022/06/20 22:54:53 - mmengine - INFO - Iter(train) [134500/200000] lr: 9.685e-05 eta: 9:34:15 time: 0.532 data_time: 0.050 memory: 7431 loss: 0.0349 2022/06/20 22:55:40 - mmengine - INFO - Iter(train) [134600/200000] lr: 9.658e-05 eta: 9:33:20 time: 0.474 data_time: 0.041 memory: 7432 loss: 0.0342 2022/06/20 22:56:27 - mmengine - INFO - Iter(train) [134700/200000] lr: 9.631e-05 eta: 9:32:25 time: 0.457 data_time: 0.040 memory: 7433 loss: 0.0384 2022/06/20 22:57:14 - mmengine - INFO - Iter(train) [134800/200000] lr: 9.604e-05 eta: 9:31:30 time: 0.501 data_time: 0.073 memory: 7430 loss: 0.0350 2022/06/20 22:58:01 - mmengine - INFO - Iter(train) [134900/200000] lr: 9.577e-05 eta: 9:30:34 time: 0.460 data_time: 0.039 memory: 7432 loss: 0.0349 2022/06/20 22:58:48 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 22:58:48 - mmengine - INFO - Iter(train) [135000/200000] lr: 9.550e-05 eta: 9:29:39 time: 0.458 data_time: 0.051 memory: 7432 loss: 0.0364 2022/06/20 22:59:35 - mmengine - INFO - Iter(train) [135100/200000] lr: 9.524e-05 eta: 9:28:44 time: 0.461 data_time: 0.042 memory: 7432 loss: 0.0367 2022/06/20 23:00:22 - mmengine - INFO - Iter(train) [135200/200000] lr: 9.497e-05 eta: 9:27:48 time: 0.452 data_time: 0.048 memory: 7432 loss: 0.0384 2022/06/20 23:01:10 - mmengine - INFO - Iter(train) [135300/200000] lr: 9.470e-05 eta: 9:26:54 time: 0.500 data_time: 0.072 memory: 7433 loss: 0.0351 2022/06/20 23:01:57 - mmengine - INFO - Iter(train) [135400/200000] lr: 9.443e-05 eta: 9:25:59 time: 0.472 data_time: 0.048 memory: 7432 loss: 0.0423 2022/06/20 23:02:44 - mmengine - INFO - Iter(train) [135500/200000] lr: 9.417e-05 eta: 9:25:03 time: 0.456 data_time: 0.041 memory: 7430 loss: 0.0381 2022/06/20 23:03:32 - mmengine - INFO - Iter(train) [135600/200000] lr: 9.390e-05 eta: 9:24:08 time: 0.489 data_time: 0.072 memory: 7431 loss: 0.0395 2022/06/20 23:04:18 - mmengine - INFO - Iter(train) [135700/200000] lr: 9.363e-05 eta: 9:23:13 time: 0.458 data_time: 0.045 memory: 7431 loss: 0.0369 2022/06/20 23:05:05 - mmengine - INFO - Iter(train) [135800/200000] lr: 9.337e-05 eta: 9:22:18 time: 0.456 data_time: 0.038 memory: 7433 loss: 0.0336 2022/06/20 23:05:53 - mmengine - INFO - Iter(train) [135900/200000] lr: 9.310e-05 eta: 9:21:23 time: 0.450 data_time: 0.047 memory: 7432 loss: 0.0374 2022/06/20 23:06:40 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 23:06:40 - mmengine - INFO - Iter(train) [136000/200000] lr: 9.284e-05 eta: 9:20:27 time: 0.465 data_time: 0.039 memory: 7432 loss: 0.0338 2022/06/20 23:07:27 - mmengine - INFO - Iter(train) [136100/200000] lr: 9.257e-05 eta: 9:19:32 time: 0.451 data_time: 0.032 memory: 7432 loss: 0.0343 2022/06/20 23:08:13 - mmengine - INFO - Iter(train) [136200/200000] lr: 9.231e-05 eta: 9:18:37 time: 0.474 data_time: 0.046 memory: 7431 loss: 0.0361 2022/06/20 23:09:01 - mmengine - INFO - Iter(train) [136300/200000] lr: 9.204e-05 eta: 9:17:42 time: 0.461 data_time: 0.032 memory: 7433 loss: 0.0351 2022/06/20 23:09:50 - mmengine - INFO - Iter(train) [136400/200000] lr: 9.178e-05 eta: 9:16:48 time: 0.455 data_time: 0.027 memory: 7433 loss: 0.0373 2022/06/20 23:10:38 - mmengine - INFO - Iter(train) [136500/200000] lr: 9.151e-05 eta: 9:15:53 time: 0.454 data_time: 0.039 memory: 7433 loss: 0.0353 2022/06/20 23:11:26 - mmengine - INFO - Iter(train) [136600/200000] lr: 9.125e-05 eta: 9:14:58 time: 0.575 data_time: 0.038 memory: 7431 loss: 0.0343 2022/06/20 23:12:13 - mmengine - INFO - Iter(train) [136700/200000] lr: 9.099e-05 eta: 9:14:03 time: 0.477 data_time: 0.051 memory: 7432 loss: 0.0340 2022/06/20 23:13:03 - mmengine - INFO - Iter(train) [136800/200000] lr: 9.072e-05 eta: 9:13:09 time: 0.453 data_time: 0.045 memory: 7430 loss: 0.0343 2022/06/20 23:13:52 - mmengine - INFO - Iter(train) [136900/200000] lr: 9.046e-05 eta: 9:12:15 time: 0.467 data_time: 0.061 memory: 7430 loss: 0.0391 2022/06/20 23:14:39 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 23:14:39 - mmengine - INFO - Iter(train) [137000/200000] lr: 9.020e-05 eta: 9:11:20 time: 0.458 data_time: 0.050 memory: 7433 loss: 0.0367 2022/06/20 23:15:26 - mmengine - INFO - Iter(train) [137100/200000] lr: 8.994e-05 eta: 9:10:25 time: 0.458 data_time: 0.050 memory: 7430 loss: 0.0360 2022/06/20 23:16:13 - mmengine - INFO - Iter(train) [137200/200000] lr: 8.967e-05 eta: 9:09:30 time: 0.468 data_time: 0.049 memory: 7430 loss: 0.0418 2022/06/20 23:17:00 - mmengine - INFO - Iter(train) [137300/200000] lr: 8.941e-05 eta: 9:08:35 time: 0.460 data_time: 0.049 memory: 7431 loss: 0.0346 2022/06/20 23:17:48 - mmengine - INFO - Iter(train) [137400/200000] lr: 8.915e-05 eta: 9:07:41 time: 0.465 data_time: 0.044 memory: 7431 loss: 0.0352 2022/06/20 23:18:35 - mmengine - INFO - Iter(train) [137500/200000] lr: 8.889e-05 eta: 9:06:46 time: 0.465 data_time: 0.049 memory: 7432 loss: 0.0320 2022/06/20 23:19:23 - mmengine - INFO - Iter(train) [137600/200000] lr: 8.863e-05 eta: 9:05:51 time: 0.474 data_time: 0.044 memory: 7430 loss: 0.0352 2022/06/20 23:20:09 - mmengine - INFO - Iter(train) [137700/200000] lr: 8.837e-05 eta: 9:04:56 time: 0.475 data_time: 0.047 memory: 7432 loss: 0.0328 2022/06/20 23:20:57 - mmengine - INFO - Iter(train) [137800/200000] lr: 8.811e-05 eta: 9:04:01 time: 0.447 data_time: 0.039 memory: 7432 loss: 0.0377 2022/06/20 23:21:44 - mmengine - INFO - Iter(train) [137900/200000] lr: 8.785e-05 eta: 9:03:06 time: 0.478 data_time: 0.060 memory: 7429 loss: 0.0377 2022/06/20 23:22:32 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 23:22:32 - mmengine - INFO - Iter(train) [138000/200000] lr: 8.759e-05 eta: 9:02:12 time: 0.438 data_time: 0.043 memory: 7432 loss: 0.0372 2022/06/20 23:23:17 - mmengine - INFO - Iter(train) [138100/200000] lr: 8.733e-05 eta: 9:01:16 time: 0.469 data_time: 0.047 memory: 7432 loss: 0.0361 2022/06/20 23:24:04 - mmengine - INFO - Iter(train) [138200/200000] lr: 8.707e-05 eta: 9:00:21 time: 0.480 data_time: 0.041 memory: 7430 loss: 0.0370 2022/06/20 23:24:49 - mmengine - INFO - Iter(train) [138300/200000] lr: 8.681e-05 eta: 8:59:25 time: 0.463 data_time: 0.043 memory: 7433 loss: 0.0371 2022/06/20 23:25:35 - mmengine - INFO - Iter(train) [138400/200000] lr: 8.655e-05 eta: 8:58:30 time: 0.446 data_time: 0.038 memory: 7430 loss: 0.0339 2022/06/20 23:26:21 - mmengine - INFO - Iter(train) [138500/200000] lr: 8.629e-05 eta: 8:57:34 time: 0.482 data_time: 0.045 memory: 7434 loss: 0.0393 2022/06/20 23:27:08 - mmengine - INFO - Iter(train) [138600/200000] lr: 8.603e-05 eta: 8:56:39 time: 0.446 data_time: 0.042 memory: 7429 loss: 0.0374 2022/06/20 23:27:53 - mmengine - INFO - Iter(train) [138700/200000] lr: 8.577e-05 eta: 8:55:44 time: 0.443 data_time: 0.047 memory: 7432 loss: 0.0370 2022/06/20 23:28:39 - mmengine - INFO - Iter(train) [138800/200000] lr: 8.552e-05 eta: 8:54:48 time: 0.452 data_time: 0.038 memory: 7431 loss: 0.0375 2022/06/20 23:29:24 - mmengine - INFO - Iter(train) [138900/200000] lr: 8.526e-05 eta: 8:53:53 time: 0.450 data_time: 0.045 memory: 7430 loss: 0.0348 2022/06/20 23:30:11 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 23:30:11 - mmengine - INFO - Iter(train) [139000/200000] lr: 8.500e-05 eta: 8:52:58 time: 0.453 data_time: 0.038 memory: 7431 loss: 0.0387 2022/06/20 23:30:57 - mmengine - INFO - Iter(train) [139100/200000] lr: 8.474e-05 eta: 8:52:02 time: 0.494 data_time: 0.053 memory: 7433 loss: 0.0354 2022/06/20 23:31:43 - mmengine - INFO - Iter(train) [139200/200000] lr: 8.449e-05 eta: 8:51:07 time: 0.459 data_time: 0.040 memory: 7433 loss: 0.0386 2022/06/20 23:32:32 - mmengine - INFO - Iter(train) [139300/200000] lr: 8.423e-05 eta: 8:50:13 time: 0.517 data_time: 0.073 memory: 7431 loss: 0.0370 2022/06/20 23:33:20 - mmengine - INFO - Iter(train) [139400/200000] lr: 8.398e-05 eta: 8:49:19 time: 0.448 data_time: 0.038 memory: 7431 loss: 0.0353 2022/06/20 23:34:06 - mmengine - INFO - Iter(train) [139500/200000] lr: 8.372e-05 eta: 8:48:24 time: 0.460 data_time: 0.052 memory: 7432 loss: 0.0373 2022/06/20 23:34:53 - mmengine - INFO - Iter(train) [139600/200000] lr: 8.346e-05 eta: 8:47:29 time: 0.472 data_time: 0.042 memory: 7431 loss: 0.0386 2022/06/20 23:35:40 - mmengine - INFO - Iter(train) [139700/200000] lr: 8.321e-05 eta: 8:46:34 time: 0.442 data_time: 0.040 memory: 7431 loss: 0.0382 2022/06/20 23:36:27 - mmengine - INFO - Iter(train) [139800/200000] lr: 8.295e-05 eta: 8:45:39 time: 0.455 data_time: 0.043 memory: 7431 loss: 0.0321 2022/06/20 23:37:14 - mmengine - INFO - Iter(train) [139900/200000] lr: 8.270e-05 eta: 8:44:45 time: 0.455 data_time: 0.049 memory: 7431 loss: 0.0337 2022/06/20 23:38:02 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 23:38:02 - mmengine - INFO - Iter(train) [140000/200000] lr: 8.245e-05 eta: 8:43:51 time: 0.470 data_time: 0.054 memory: 7432 loss: 0.0341 2022/06/20 23:38:02 - mmengine - INFO - Saving checkpoint at 140000 iterations 2022/06/20 23:39:00 - mmengine - INFO - Iter(val) [100/250] eta: 0:01:20 time: 0.536 data_time: 0.030 memory: 2344 2022/06/20 23:39:49 - mmengine - INFO - Iter(val) [200/250] eta: 0:00:25 time: 0.512 data_time: 0.031 memory: 2000 2022/06/20 23:40:18 - mmengine - INFO - Iter(val) [250/250] SAD: 37.8109 MattingMSE: 0.0096 GradientError: 19.1270 ConnectivityError: 35.8245 2022/06/20 23:41:04 - mmengine - INFO - Iter(train) [140100/200000] lr: 8.219e-05 eta: 8:42:56 time: 0.462 data_time: 0.039 memory: 7431 loss: 0.0356 2022/06/20 23:41:51 - mmengine - INFO - Iter(train) [140200/200000] lr: 8.194e-05 eta: 8:42:01 time: 0.465 data_time: 0.052 memory: 7430 loss: 0.0348 2022/06/20 23:42:39 - mmengine - INFO - Iter(train) [140300/200000] lr: 8.168e-05 eta: 8:41:06 time: 0.451 data_time: 0.043 memory: 7431 loss: 0.0346 2022/06/20 23:43:26 - mmengine - INFO - Iter(train) [140400/200000] lr: 8.143e-05 eta: 8:40:12 time: 0.473 data_time: 0.048 memory: 7432 loss: 0.0361 2022/06/20 23:44:13 - mmengine - INFO - Iter(train) [140500/200000] lr: 8.118e-05 eta: 8:39:17 time: 0.486 data_time: 0.044 memory: 7430 loss: 0.0341 2022/06/20 23:45:00 - mmengine - INFO - Iter(train) [140600/200000] lr: 8.093e-05 eta: 8:38:23 time: 0.451 data_time: 0.039 memory: 7431 loss: 0.0342 2022/06/20 23:45:47 - mmengine - INFO - Iter(train) [140700/200000] lr: 8.067e-05 eta: 8:37:28 time: 0.467 data_time: 0.046 memory: 7429 loss: 0.0378 2022/06/20 23:46:36 - mmengine - INFO - Iter(train) [140800/200000] lr: 8.042e-05 eta: 8:36:34 time: 0.491 data_time: 0.054 memory: 7429 loss: 0.0334 2022/06/20 23:47:25 - mmengine - INFO - Iter(train) [140900/200000] lr: 8.017e-05 eta: 8:35:40 time: 0.584 data_time: 0.046 memory: 7429 loss: 0.0342 2022/06/20 23:48:11 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 23:48:11 - mmengine - INFO - Iter(train) [141000/200000] lr: 7.992e-05 eta: 8:34:45 time: 0.456 data_time: 0.040 memory: 7432 loss: 0.0383 2022/06/20 23:48:59 - mmengine - INFO - Iter(train) [141100/200000] lr: 7.967e-05 eta: 8:33:51 time: 0.488 data_time: 0.046 memory: 7430 loss: 0.0362 2022/06/20 23:49:47 - mmengine - INFO - Iter(train) [141200/200000] lr: 7.942e-05 eta: 8:32:57 time: 0.456 data_time: 0.045 memory: 7431 loss: 0.0357 2022/06/20 23:50:34 - mmengine - INFO - Iter(train) [141300/200000] lr: 7.917e-05 eta: 8:32:02 time: 0.467 data_time: 0.046 memory: 7432 loss: 0.0346 2022/06/20 23:51:23 - mmengine - INFO - Iter(train) [141400/200000] lr: 7.892e-05 eta: 8:31:09 time: 0.470 data_time: 0.059 memory: 7432 loss: 0.0386 2022/06/20 23:52:10 - mmengine - INFO - Iter(train) [141500/200000] lr: 7.867e-05 eta: 8:30:14 time: 0.476 data_time: 0.059 memory: 7432 loss: 0.0387 2022/06/20 23:52:58 - mmengine - INFO - Iter(train) [141600/200000] lr: 7.842e-05 eta: 8:29:20 time: 0.472 data_time: 0.044 memory: 7431 loss: 0.0341 2022/06/20 23:53:45 - mmengine - INFO - Iter(train) [141700/200000] lr: 7.817e-05 eta: 8:28:25 time: 0.465 data_time: 0.049 memory: 7433 loss: 0.0353 2022/06/20 23:54:32 - mmengine - INFO - Iter(train) [141800/200000] lr: 7.792e-05 eta: 8:27:31 time: 0.470 data_time: 0.062 memory: 7431 loss: 0.0405 2022/06/20 23:55:19 - mmengine - INFO - Iter(train) [141900/200000] lr: 7.767e-05 eta: 8:26:36 time: 0.471 data_time: 0.045 memory: 7431 loss: 0.0329 2022/06/20 23:56:06 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/20 23:56:06 - mmengine - INFO - Iter(train) [142000/200000] lr: 7.742e-05 eta: 8:25:42 time: 0.445 data_time: 0.043 memory: 7430 loss: 0.0418 2022/06/20 23:56:52 - mmengine - INFO - Iter(train) [142100/200000] lr: 7.717e-05 eta: 8:24:47 time: 0.470 data_time: 0.046 memory: 7431 loss: 0.0336 2022/06/20 23:57:39 - mmengine - INFO - Iter(train) [142200/200000] lr: 7.693e-05 eta: 8:23:52 time: 0.457 data_time: 0.042 memory: 7432 loss: 0.0380 2022/06/20 23:58:26 - mmengine - INFO - Iter(train) [142300/200000] lr: 7.668e-05 eta: 8:22:58 time: 0.477 data_time: 0.045 memory: 7430 loss: 0.0360 2022/06/20 23:59:13 - mmengine - INFO - Iter(train) [142400/200000] lr: 7.643e-05 eta: 8:22:03 time: 0.477 data_time: 0.044 memory: 7431 loss: 0.0329 2022/06/21 00:00:00 - mmengine - INFO - Iter(train) [142500/200000] lr: 7.618e-05 eta: 8:21:09 time: 0.474 data_time: 0.039 memory: 7429 loss: 0.0354 2022/06/21 00:00:46 - mmengine - INFO - Iter(train) [142600/200000] lr: 7.594e-05 eta: 8:20:14 time: 0.486 data_time: 0.052 memory: 7430 loss: 0.0342 2022/06/21 00:01:32 - mmengine - INFO - Iter(train) [142700/200000] lr: 7.569e-05 eta: 8:19:19 time: 0.453 data_time: 0.044 memory: 7432 loss: 0.0300 2022/06/21 00:02:18 - mmengine - INFO - Iter(train) [142800/200000] lr: 7.544e-05 eta: 8:18:24 time: 0.460 data_time: 0.057 memory: 7431 loss: 0.0366 2022/06/21 00:03:04 - mmengine - INFO - Iter(train) [142900/200000] lr: 7.520e-05 eta: 8:17:30 time: 0.458 data_time: 0.044 memory: 7428 loss: 0.0360 2022/06/21 00:03:51 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/21 00:03:51 - mmengine - INFO - Iter(train) [143000/200000] lr: 7.495e-05 eta: 8:16:35 time: 0.462 data_time: 0.051 memory: 7431 loss: 0.0366 2022/06/21 00:04:37 - mmengine - INFO - Iter(train) [143100/200000] lr: 7.471e-05 eta: 8:15:40 time: 0.455 data_time: 0.037 memory: 7430 loss: 0.0366 2022/06/21 00:05:23 - mmengine - INFO - Iter(train) [143200/200000] lr: 7.446e-05 eta: 8:14:45 time: 0.482 data_time: 0.058 memory: 7429 loss: 0.0317 2022/06/21 00:06:13 - mmengine - INFO - Iter(train) [143300/200000] lr: 7.422e-05 eta: 8:13:52 time: 0.469 data_time: 0.049 memory: 7431 loss: 0.0368 2022/06/21 00:06:59 - mmengine - INFO - Iter(train) [143400/200000] lr: 7.398e-05 eta: 8:12:58 time: 0.448 data_time: 0.045 memory: 7432 loss: 0.0372 2022/06/21 00:07:47 - mmengine - INFO - Iter(train) [143500/200000] lr: 7.373e-05 eta: 8:12:03 time: 0.469 data_time: 0.065 memory: 7432 loss: 0.0338 2022/06/21 00:08:33 - mmengine - INFO - Iter(train) [143600/200000] lr: 7.349e-05 eta: 8:11:09 time: 0.454 data_time: 0.051 memory: 7432 loss: 0.0426 2022/06/21 00:09:19 - mmengine - INFO - Iter(train) [143700/200000] lr: 7.325e-05 eta: 8:10:14 time: 0.461 data_time: 0.053 memory: 7431 loss: 0.0350 2022/06/21 00:10:09 - mmengine - INFO - Iter(train) [143800/200000] lr: 7.300e-05 eta: 8:09:21 time: 0.680 data_time: 0.043 memory: 7431 loss: 0.0400 2022/06/21 00:10:57 - mmengine - INFO - Iter(train) [143900/200000] lr: 7.276e-05 eta: 8:08:27 time: 0.479 data_time: 0.052 memory: 7430 loss: 0.0354 2022/06/21 00:11:46 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/21 00:11:46 - mmengine - INFO - Iter(train) [144000/200000] lr: 7.252e-05 eta: 8:07:33 time: 0.479 data_time: 0.048 memory: 7430 loss: 0.0373 2022/06/21 00:12:33 - mmengine - INFO - Iter(train) [144100/200000] lr: 7.228e-05 eta: 8:06:39 time: 0.478 data_time: 0.051 memory: 7433 loss: 0.0349 2022/06/21 00:13:20 - mmengine - INFO - Iter(train) [144200/200000] lr: 7.203e-05 eta: 8:05:45 time: 0.457 data_time: 0.040 memory: 7431 loss: 0.0348 2022/06/21 00:14:07 - mmengine - INFO - Iter(train) [144300/200000] lr: 7.179e-05 eta: 8:04:50 time: 0.493 data_time: 0.047 memory: 7431 loss: 0.0348 2022/06/21 00:14:54 - mmengine - INFO - Iter(train) [144400/200000] lr: 7.155e-05 eta: 8:03:56 time: 0.467 data_time: 0.041 memory: 7432 loss: 0.0383 2022/06/21 00:15:41 - mmengine - INFO - Iter(train) [144500/200000] lr: 7.131e-05 eta: 8:03:02 time: 0.464 data_time: 0.049 memory: 7431 loss: 0.0386 2022/06/21 00:16:31 - mmengine - INFO - Iter(train) [144600/200000] lr: 7.107e-05 eta: 8:02:09 time: 0.455 data_time: 0.044 memory: 7430 loss: 0.0355 2022/06/21 00:17:19 - mmengine - INFO - Iter(train) [144700/200000] lr: 7.083e-05 eta: 8:01:15 time: 0.465 data_time: 0.043 memory: 7431 loss: 0.0343 2022/06/21 00:18:07 - mmengine - INFO - Iter(train) [144800/200000] lr: 7.059e-05 eta: 8:00:21 time: 0.478 data_time: 0.051 memory: 7433 loss: 0.0344 2022/06/21 00:18:54 - mmengine - INFO - Iter(train) [144900/200000] lr: 7.035e-05 eta: 7:59:27 time: 0.487 data_time: 0.046 memory: 7431 loss: 0.0349 2022/06/21 00:19:42 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/21 00:19:42 - mmengine - INFO - Iter(train) [145000/200000] lr: 7.011e-05 eta: 7:58:33 time: 0.488 data_time: 0.043 memory: 7430 loss: 0.0328 2022/06/21 00:20:29 - mmengine - INFO - Iter(train) [145100/200000] lr: 6.987e-05 eta: 7:57:39 time: 0.483 data_time: 0.046 memory: 7430 loss: 0.0335 2022/06/21 00:21:16 - mmengine - INFO - Iter(train) [145200/200000] lr: 6.964e-05 eta: 7:56:45 time: 0.467 data_time: 0.045 memory: 7430 loss: 0.0359 2022/06/21 00:22:09 - mmengine - INFO - Iter(train) [145300/200000] lr: 6.940e-05 eta: 7:55:53 time: 0.501 data_time: 0.066 memory: 7432 loss: 0.0392 2022/06/21 00:22:57 - mmengine - INFO - Iter(train) [145400/200000] lr: 6.916e-05 eta: 7:54:59 time: 0.480 data_time: 0.042 memory: 7430 loss: 0.0370 2022/06/21 00:23:44 - mmengine - INFO - Iter(train) [145500/200000] lr: 6.892e-05 eta: 7:54:05 time: 0.463 data_time: 0.049 memory: 7429 loss: 0.0374 2022/06/21 00:24:31 - mmengine - INFO - Iter(train) [145600/200000] lr: 6.869e-05 eta: 7:53:11 time: 0.471 data_time: 0.056 memory: 7431 loss: 0.0342 2022/06/21 00:25:18 - mmengine - INFO - Iter(train) [145700/200000] lr: 6.845e-05 eta: 7:52:17 time: 0.468 data_time: 0.041 memory: 7430 loss: 0.0372 2022/06/21 00:26:05 - mmengine - INFO - Iter(train) [145800/200000] lr: 6.821e-05 eta: 7:51:22 time: 0.461 data_time: 0.048 memory: 7431 loss: 0.0341 2022/06/21 00:26:54 - mmengine - INFO - Iter(train) [145900/200000] lr: 6.798e-05 eta: 7:50:29 time: 0.527 data_time: 0.042 memory: 7431 loss: 0.0323 2022/06/21 00:27:42 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/21 00:27:42 - mmengine - INFO - Iter(train) [146000/200000] lr: 6.774e-05 eta: 7:49:35 time: 0.460 data_time: 0.049 memory: 7431 loss: 0.0351 2022/06/21 00:28:30 - mmengine - INFO - Iter(train) [146100/200000] lr: 6.750e-05 eta: 7:48:41 time: 0.485 data_time: 0.052 memory: 7431 loss: 0.0354 2022/06/21 00:29:17 - mmengine - INFO - Iter(train) [146200/200000] lr: 6.727e-05 eta: 7:47:47 time: 0.465 data_time: 0.046 memory: 7432 loss: 0.0351 2022/06/21 00:30:04 - mmengine - INFO - Iter(train) [146300/200000] lr: 6.703e-05 eta: 7:46:53 time: 0.449 data_time: 0.044 memory: 7431 loss: 0.0347 2022/06/21 00:30:52 - mmengine - INFO - Iter(train) [146400/200000] lr: 6.680e-05 eta: 7:46:00 time: 0.489 data_time: 0.065 memory: 7431 loss: 0.0338 2022/06/21 00:31:40 - mmengine - INFO - Iter(train) [146500/200000] lr: 6.657e-05 eta: 7:45:06 time: 0.456 data_time: 0.055 memory: 7431 loss: 0.0318 2022/06/21 00:32:27 - mmengine - INFO - Iter(train) [146600/200000] lr: 6.633e-05 eta: 7:44:12 time: 0.466 data_time: 0.041 memory: 7429 loss: 0.0345 2022/06/21 00:33:14 - mmengine - INFO - Iter(train) [146700/200000] lr: 6.610e-05 eta: 7:43:18 time: 0.474 data_time: 0.059 memory: 7431 loss: 0.0353 2022/06/21 00:34:02 - mmengine - INFO - Iter(train) [146800/200000] lr: 6.587e-05 eta: 7:42:24 time: 0.449 data_time: 0.036 memory: 7431 loss: 0.0354 2022/06/21 00:34:49 - mmengine - INFO - Iter(train) [146900/200000] lr: 6.563e-05 eta: 7:41:30 time: 0.461 data_time: 0.047 memory: 7429 loss: 0.0362 2022/06/21 00:35:40 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/21 00:35:40 - mmengine - INFO - Iter(train) [147000/200000] lr: 6.540e-05 eta: 7:40:37 time: 0.472 data_time: 0.057 memory: 7431 loss: 0.0388 2022/06/21 00:36:27 - mmengine - INFO - Iter(train) [147100/200000] lr: 6.517e-05 eta: 7:39:43 time: 0.460 data_time: 0.044 memory: 7432 loss: 0.0362 2022/06/21 00:37:14 - mmengine - INFO - Iter(train) [147200/200000] lr: 6.494e-05 eta: 7:38:49 time: 0.458 data_time: 0.043 memory: 7431 loss: 0.0376 2022/06/21 00:38:00 - mmengine - INFO - Iter(train) [147300/200000] lr: 6.470e-05 eta: 7:37:55 time: 0.450 data_time: 0.043 memory: 7432 loss: 0.0343 2022/06/21 00:38:46 - mmengine - INFO - Iter(train) [147400/200000] lr: 6.447e-05 eta: 7:37:01 time: 0.448 data_time: 0.045 memory: 7431 loss: 0.0330 2022/06/21 00:39:32 - mmengine - INFO - Iter(train) [147500/200000] lr: 6.424e-05 eta: 7:36:06 time: 0.485 data_time: 0.057 memory: 7430 loss: 0.0369 2022/06/21 00:40:20 - mmengine - INFO - Iter(train) [147600/200000] lr: 6.401e-05 eta: 7:35:13 time: 0.497 data_time: 0.043 memory: 7431 loss: 0.0379 2022/06/21 00:41:07 - mmengine - INFO - Iter(train) [147700/200000] lr: 6.378e-05 eta: 7:34:19 time: 0.450 data_time: 0.054 memory: 7433 loss: 0.0369 2022/06/21 00:41:55 - mmengine - INFO - Iter(train) [147800/200000] lr: 6.355e-05 eta: 7:33:25 time: 0.482 data_time: 0.047 memory: 7431 loss: 0.0405 2022/06/21 00:42:41 - mmengine - INFO - Iter(train) [147900/200000] lr: 6.332e-05 eta: 7:32:31 time: 0.453 data_time: 0.041 memory: 7431 loss: 0.0313 2022/06/21 00:43:28 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/21 00:43:28 - mmengine - INFO - Iter(train) [148000/200000] lr: 6.309e-05 eta: 7:31:37 time: 0.468 data_time: 0.046 memory: 7434 loss: 0.0387 2022/06/21 00:44:14 - mmengine - INFO - Iter(train) [148100/200000] lr: 6.286e-05 eta: 7:30:43 time: 0.467 data_time: 0.048 memory: 7431 loss: 0.0348 2022/06/21 00:45:00 - mmengine - INFO - Iter(train) [148200/200000] lr: 6.264e-05 eta: 7:29:48 time: 0.457 data_time: 0.045 memory: 7432 loss: 0.0331 2022/06/21 00:45:48 - mmengine - INFO - Iter(train) [148300/200000] lr: 6.241e-05 eta: 7:28:55 time: 0.461 data_time: 0.059 memory: 7430 loss: 0.0314 2022/06/21 00:46:35 - mmengine - INFO - Iter(train) [148400/200000] lr: 6.218e-05 eta: 7:28:01 time: 0.467 data_time: 0.052 memory: 7430 loss: 0.0356 2022/06/21 00:47:23 - mmengine - INFO - Iter(train) [148500/200000] lr: 6.195e-05 eta: 7:27:07 time: 0.470 data_time: 0.044 memory: 7432 loss: 0.0372 2022/06/21 00:48:10 - mmengine - INFO - Iter(train) [148600/200000] lr: 6.172e-05 eta: 7:26:13 time: 0.466 data_time: 0.061 memory: 7430 loss: 0.0366 2022/06/21 00:48:58 - mmengine - INFO - Iter(train) [148700/200000] lr: 6.150e-05 eta: 7:25:20 time: 0.447 data_time: 0.056 memory: 7431 loss: 0.0379 2022/06/21 00:49:45 - mmengine - INFO - Iter(train) [148800/200000] lr: 6.127e-05 eta: 7:24:26 time: 0.463 data_time: 0.041 memory: 7432 loss: 0.0347 2022/06/21 00:50:32 - mmengine - INFO - Iter(train) [148900/200000] lr: 6.105e-05 eta: 7:23:32 time: 0.455 data_time: 0.051 memory: 7429 loss: 0.0366 2022/06/21 00:51:22 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/21 00:51:22 - mmengine - INFO - Iter(train) [149000/200000] lr: 6.082e-05 eta: 7:22:39 time: 0.461 data_time: 0.052 memory: 7432 loss: 0.0347 2022/06/21 00:52:10 - mmengine - INFO - Iter(train) [149100/200000] lr: 6.059e-05 eta: 7:21:46 time: 0.473 data_time: 0.051 memory: 7431 loss: 0.0382 2022/06/21 00:52:57 - mmengine - INFO - Iter(train) [149200/200000] lr: 6.037e-05 eta: 7:20:52 time: 0.471 data_time: 0.056 memory: 7431 loss: 0.0373 2022/06/21 00:53:46 - mmengine - INFO - Iter(train) [149300/200000] lr: 6.014e-05 eta: 7:19:59 time: 0.509 data_time: 0.055 memory: 7431 loss: 0.0335 2022/06/21 00:54:33 - mmengine - INFO - Iter(train) [149400/200000] lr: 5.992e-05 eta: 7:19:05 time: 0.468 data_time: 0.052 memory: 7429 loss: 0.0349 2022/06/21 00:55:21 - mmengine - INFO - Iter(train) [149500/200000] lr: 5.970e-05 eta: 7:18:11 time: 0.467 data_time: 0.057 memory: 7429 loss: 0.0373 2022/06/21 00:56:09 - mmengine - INFO - Iter(train) [149600/200000] lr: 5.947e-05 eta: 7:17:18 time: 0.489 data_time: 0.058 memory: 7434 loss: 0.0366 2022/06/21 00:56:56 - mmengine - INFO - Iter(train) [149700/200000] lr: 5.925e-05 eta: 7:16:24 time: 0.493 data_time: 0.057 memory: 7432 loss: 0.0334 2022/06/21 00:57:43 - mmengine - INFO - Iter(train) [149800/200000] lr: 5.903e-05 eta: 7:15:31 time: 0.540 data_time: 0.117 memory: 7433 loss: 0.0385 2022/06/21 00:58:30 - mmengine - INFO - Iter(train) [149900/200000] lr: 5.880e-05 eta: 7:14:37 time: 0.453 data_time: 0.044 memory: 7431 loss: 0.0317 2022/06/21 00:59:20 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/21 00:59:20 - mmengine - INFO - Iter(train) [150000/200000] lr: 5.858e-05 eta: 7:13:44 time: 0.658 data_time: 0.059 memory: 7430 loss: 0.0356 2022/06/21 00:59:20 - mmengine - INFO - Saving checkpoint at 150000 iterations 2022/06/21 01:00:16 - mmengine - INFO - Iter(val) [100/250] eta: 0:01:16 time: 0.508 data_time: 0.027 memory: 2343 2022/06/21 01:01:05 - mmengine - INFO - Iter(val) [200/250] eta: 0:00:25 time: 0.505 data_time: 0.031 memory: 1999 2022/06/21 01:01:33 - mmengine - INFO - Iter(val) [250/250] SAD: 36.8083 MattingMSE: 0.0089 GradientError: 18.0076 ConnectivityError: 34.6904 2022/06/21 01:02:21 - mmengine - INFO - Iter(train) [150100/200000] lr: 5.836e-05 eta: 7:12:51 time: 0.460 data_time: 0.055 memory: 7432 loss: 0.0399 2022/06/21 01:03:09 - mmengine - INFO - Iter(train) [150200/200000] lr: 5.814e-05 eta: 7:11:57 time: 0.487 data_time: 0.064 memory: 7433 loss: 0.0332 2022/06/21 01:03:56 - mmengine - INFO - Iter(train) [150300/200000] lr: 5.792e-05 eta: 7:11:03 time: 0.465 data_time: 0.048 memory: 7433 loss: 0.0400 2022/06/21 01:04:43 - mmengine - INFO - Iter(train) [150400/200000] lr: 5.770e-05 eta: 7:10:10 time: 0.477 data_time: 0.034 memory: 7431 loss: 0.0406 2022/06/21 01:05:31 - mmengine - INFO - Iter(train) [150500/200000] lr: 5.747e-05 eta: 7:09:16 time: 0.447 data_time: 0.045 memory: 7430 loss: 0.0346 2022/06/21 01:06:18 - mmengine - INFO - Iter(train) [150600/200000] lr: 5.725e-05 eta: 7:08:23 time: 0.473 data_time: 0.048 memory: 7432 loss: 0.0414 2022/06/21 01:07:06 - mmengine - INFO - Iter(train) [150700/200000] lr: 5.703e-05 eta: 7:07:29 time: 0.462 data_time: 0.043 memory: 7432 loss: 0.0353 2022/06/21 01:07:53 - mmengine - INFO - Iter(train) [150800/200000] lr: 5.681e-05 eta: 7:06:36 time: 0.468 data_time: 0.050 memory: 7430 loss: 0.0345 2022/06/21 01:08:43 - mmengine - INFO - Iter(train) [150900/200000] lr: 5.660e-05 eta: 7:05:43 time: 0.480 data_time: 0.042 memory: 7430 loss: 0.0359 2022/06/21 01:09:30 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/21 01:09:30 - mmengine - INFO - Iter(train) [151000/200000] lr: 5.638e-05 eta: 7:04:49 time: 0.478 data_time: 0.047 memory: 7430 loss: 0.0356 2022/06/21 01:10:17 - mmengine - INFO - Iter(train) [151100/200000] lr: 5.616e-05 eta: 7:03:56 time: 0.447 data_time: 0.042 memory: 7432 loss: 0.0352 2022/06/21 01:11:04 - mmengine - INFO - Iter(train) [151200/200000] lr: 5.594e-05 eta: 7:03:02 time: 0.454 data_time: 0.046 memory: 7432 loss: 0.0328 2022/06/21 01:11:51 - mmengine - INFO - Iter(train) [151300/200000] lr: 5.572e-05 eta: 7:02:08 time: 0.463 data_time: 0.051 memory: 7431 loss: 0.0381 2022/06/21 01:12:38 - mmengine - INFO - Iter(train) [151400/200000] lr: 5.551e-05 eta: 7:01:15 time: 0.455 data_time: 0.051 memory: 7432 loss: 0.0360 2022/06/21 01:13:25 - mmengine - INFO - Iter(train) [151500/200000] lr: 5.529e-05 eta: 7:00:21 time: 0.473 data_time: 0.060 memory: 7432 loss: 0.0314 2022/06/21 01:14:12 - mmengine - INFO - Iter(train) [151600/200000] lr: 5.507e-05 eta: 6:59:27 time: 0.466 data_time: 0.039 memory: 7431 loss: 0.0374 2022/06/21 01:14:59 - mmengine - INFO - Iter(train) [151700/200000] lr: 5.486e-05 eta: 6:58:34 time: 0.468 data_time: 0.038 memory: 7432 loss: 0.0373 2022/06/21 01:15:45 - mmengine - INFO - Iter(train) [151800/200000] lr: 5.464e-05 eta: 6:57:40 time: 0.458 data_time: 0.057 memory: 7433 loss: 0.0378 2022/06/21 01:16:31 - mmengine - INFO - Iter(train) [151900/200000] lr: 5.442e-05 eta: 6:56:46 time: 0.461 data_time: 0.051 memory: 7432 loss: 0.0388 2022/06/21 01:17:40 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/21 01:17:40 - mmengine - INFO - Iter(train) [152000/200000] lr: 5.421e-05 eta: 6:55:59 time: 2.635 data_time: 0.033 memory: 7435 loss: 0.0344 2022/06/21 01:18:29 - mmengine - INFO - Iter(train) [152100/200000] lr: 5.399e-05 eta: 6:55:06 time: 0.477 data_time: 0.049 memory: 7432 loss: 0.0340 2022/06/21 01:19:17 - mmengine - INFO - Iter(train) [152200/200000] lr: 5.378e-05 eta: 6:54:13 time: 0.447 data_time: 0.042 memory: 7434 loss: 0.0359 2022/06/21 01:20:03 - mmengine - INFO - Iter(train) [152300/200000] lr: 5.356e-05 eta: 6:53:19 time: 0.443 data_time: 0.043 memory: 7432 loss: 0.0400 2022/06/21 01:20:49 - mmengine - INFO - Iter(train) [152400/200000] lr: 5.335e-05 eta: 6:52:25 time: 0.481 data_time: 0.058 memory: 7430 loss: 0.0366 2022/06/21 01:21:35 - mmengine - INFO - Iter(train) [152500/200000] lr: 5.314e-05 eta: 6:51:32 time: 0.457 data_time: 0.044 memory: 7432 loss: 0.0360 2022/06/21 01:22:21 - mmengine - INFO - Iter(train) [152600/200000] lr: 5.292e-05 eta: 6:50:38 time: 0.446 data_time: 0.042 memory: 7432 loss: 0.0360 2022/06/21 01:23:07 - mmengine - INFO - Iter(train) [152700/200000] lr: 5.271e-05 eta: 6:49:44 time: 0.463 data_time: 0.040 memory: 7432 loss: 0.0369 2022/06/21 01:23:54 - mmengine - INFO - Iter(train) [152800/200000] lr: 5.250e-05 eta: 6:48:50 time: 0.486 data_time: 0.040 memory: 7432 loss: 0.0306 2022/06/21 01:24:42 - mmengine - INFO - Iter(train) [152900/200000] lr: 5.229e-05 eta: 6:47:57 time: 0.456 data_time: 0.050 memory: 7432 loss: 0.0316 2022/06/21 01:25:29 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/21 01:25:29 - mmengine - INFO - Iter(train) [153000/200000] lr: 5.208e-05 eta: 6:47:03 time: 0.460 data_time: 0.049 memory: 7433 loss: 0.0332 2022/06/21 01:26:17 - mmengine - INFO - Iter(train) [153100/200000] lr: 5.186e-05 eta: 6:46:10 time: 0.510 data_time: 0.049 memory: 7432 loss: 0.0354 2022/06/21 01:27:04 - mmengine - INFO - Iter(train) [153200/200000] lr: 5.165e-05 eta: 6:45:17 time: 0.452 data_time: 0.033 memory: 7431 loss: 0.0362 2022/06/21 01:27:52 - mmengine - INFO - Iter(train) [153300/200000] lr: 5.144e-05 eta: 6:44:24 time: 0.481 data_time: 0.046 memory: 7434 loss: 0.0352 2022/06/21 01:28:39 - mmengine - INFO - Iter(train) [153400/200000] lr: 5.123e-05 eta: 6:43:30 time: 0.475 data_time: 0.040 memory: 7431 loss: 0.0369 2022/06/21 01:29:26 - mmengine - INFO - Iter(train) [153500/200000] lr: 5.102e-05 eta: 6:42:36 time: 0.456 data_time: 0.051 memory: 7431 loss: 0.0340 2022/06/21 01:30:14 - mmengine - INFO - Iter(train) [153600/200000] lr: 5.081e-05 eta: 6:41:44 time: 0.472 data_time: 0.044 memory: 7430 loss: 0.0353 2022/06/21 01:31:02 - mmengine - INFO - Iter(train) [153700/200000] lr: 5.060e-05 eta: 6:40:50 time: 0.472 data_time: 0.044 memory: 7431 loss: 0.0317 2022/06/21 01:31:49 - mmengine - INFO - Iter(train) [153800/200000] lr: 5.040e-05 eta: 6:39:57 time: 0.450 data_time: 0.038 memory: 7432 loss: 0.0322 2022/06/21 01:32:36 - mmengine - INFO - Iter(train) [153900/200000] lr: 5.019e-05 eta: 6:39:04 time: 0.458 data_time: 0.049 memory: 7432 loss: 0.0376 2022/06/21 01:33:24 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/21 01:33:24 - mmengine - INFO - Iter(train) [154000/200000] lr: 4.998e-05 eta: 6:38:10 time: 0.460 data_time: 0.041 memory: 7431 loss: 0.0330 2022/06/21 01:34:11 - mmengine - INFO - Iter(train) [154100/200000] lr: 4.977e-05 eta: 6:37:17 time: 0.459 data_time: 0.049 memory: 7432 loss: 0.0341 2022/06/21 01:34:58 - mmengine - INFO - Iter(train) [154200/200000] lr: 4.957e-05 eta: 6:36:23 time: 0.469 data_time: 0.053 memory: 7434 loss: 0.0364 2022/06/21 01:35:46 - mmengine - INFO - Iter(train) [154300/200000] lr: 4.936e-05 eta: 6:35:30 time: 0.461 data_time: 0.046 memory: 7431 loss: 0.0353 2022/06/21 01:36:34 - mmengine - INFO - Iter(train) [154400/200000] lr: 4.915e-05 eta: 6:34:37 time: 0.468 data_time: 0.033 memory: 7432 loss: 0.0359 2022/06/21 01:37:25 - mmengine - INFO - Iter(train) [154500/200000] lr: 4.895e-05 eta: 6:33:45 time: 0.484 data_time: 0.044 memory: 7430 loss: 0.0369 2022/06/21 01:38:13 - mmengine - INFO - Iter(train) [154600/200000] lr: 4.874e-05 eta: 6:32:52 time: 0.550 data_time: 0.037 memory: 7431 loss: 0.0330 2022/06/21 01:39:01 - mmengine - INFO - Iter(train) [154700/200000] lr: 4.853e-05 eta: 6:31:59 time: 0.468 data_time: 0.062 memory: 7431 loss: 0.0371 2022/06/21 01:39:48 - mmengine - INFO - Iter(train) [154800/200000] lr: 4.833e-05 eta: 6:31:05 time: 0.464 data_time: 0.052 memory: 7431 loss: 0.0317 2022/06/21 01:40:36 - mmengine - INFO - Iter(train) [154900/200000] lr: 4.813e-05 eta: 6:30:12 time: 0.466 data_time: 0.051 memory: 7433 loss: 0.0354 2022/06/21 01:41:23 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/21 01:41:23 - mmengine - INFO - Iter(train) [155000/200000] lr: 4.792e-05 eta: 6:29:19 time: 0.471 data_time: 0.058 memory: 7430 loss: 0.0369 2022/06/21 01:42:10 - mmengine - INFO - Iter(train) [155100/200000] lr: 4.772e-05 eta: 6:28:26 time: 0.445 data_time: 0.040 memory: 7431 loss: 0.0369 2022/06/21 01:42:59 - mmengine - INFO - Iter(train) [155200/200000] lr: 4.751e-05 eta: 6:27:33 time: 0.576 data_time: 0.146 memory: 7431 loss: 0.0345 2022/06/21 01:43:45 - mmengine - INFO - Iter(train) [155300/200000] lr: 4.731e-05 eta: 6:26:39 time: 0.463 data_time: 0.038 memory: 7432 loss: 0.0350 2022/06/21 01:44:32 - mmengine - INFO - Iter(train) [155400/200000] lr: 4.711e-05 eta: 6:25:46 time: 0.471 data_time: 0.044 memory: 7433 loss: 0.0327 2022/06/21 01:45:19 - mmengine - INFO - Iter(train) [155500/200000] lr: 4.691e-05 eta: 6:24:53 time: 0.468 data_time: 0.039 memory: 7434 loss: 0.0337 2022/06/21 01:46:07 - mmengine - INFO - Iter(train) [155600/200000] lr: 4.670e-05 eta: 6:24:00 time: 0.485 data_time: 0.049 memory: 7430 loss: 0.0350 2022/06/21 01:46:57 - mmengine - INFO - Iter(train) [155700/200000] lr: 4.650e-05 eta: 6:23:07 time: 0.486 data_time: 0.032 memory: 7430 loss: 0.0346 2022/06/21 01:48:19 - mmengine - INFO - Iter(train) [155800/200000] lr: 4.630e-05 eta: 6:22:24 time: 0.470 data_time: 0.047 memory: 7431 loss: 0.0334 2022/06/21 01:49:06 - mmengine - INFO - Iter(train) [155900/200000] lr: 4.610e-05 eta: 6:21:30 time: 0.476 data_time: 0.042 memory: 7430 loss: 0.0359 2022/06/21 01:49:53 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/21 01:49:53 - mmengine - INFO - Iter(train) [156000/200000] lr: 4.590e-05 eta: 6:20:37 time: 0.468 data_time: 0.046 memory: 7432 loss: 0.0344 2022/06/21 01:50:42 - mmengine - INFO - Iter(train) [156100/200000] lr: 4.570e-05 eta: 6:19:44 time: 0.472 data_time: 0.065 memory: 7431 loss: 0.0316 2022/06/21 01:51:31 - mmengine - INFO - Iter(train) [156200/200000] lr: 4.550e-05 eta: 6:18:52 time: 0.469 data_time: 0.053 memory: 7431 loss: 0.0347 2022/06/21 01:52:19 - mmengine - INFO - Iter(train) [156300/200000] lr: 4.530e-05 eta: 6:17:59 time: 0.468 data_time: 0.053 memory: 7434 loss: 0.0385 2022/06/21 01:53:07 - mmengine - INFO - Iter(train) [156400/200000] lr: 4.510e-05 eta: 6:17:05 time: 0.444 data_time: 0.033 memory: 7430 loss: 0.0330 2022/06/21 01:53:53 - mmengine - INFO - Iter(train) [156500/200000] lr: 4.490e-05 eta: 6:16:12 time: 0.471 data_time: 0.067 memory: 7434 loss: 0.0305 2022/06/21 01:54:39 - mmengine - INFO - Iter(train) [156600/200000] lr: 4.470e-05 eta: 6:15:19 time: 0.465 data_time: 0.046 memory: 7431 loss: 0.0308 2022/06/21 01:55:25 - mmengine - INFO - Iter(train) [156700/200000] lr: 4.451e-05 eta: 6:14:25 time: 0.478 data_time: 0.066 memory: 7431 loss: 0.0355 2022/06/21 01:56:11 - mmengine - INFO - Iter(train) [156800/200000] lr: 4.431e-05 eta: 6:13:31 time: 0.468 data_time: 0.069 memory: 7430 loss: 0.0320 2022/06/21 01:56:57 - mmengine - INFO - Iter(train) [156900/200000] lr: 4.411e-05 eta: 6:12:38 time: 0.504 data_time: 0.096 memory: 7432 loss: 0.0362 2022/06/21 01:57:44 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/21 01:57:44 - mmengine - INFO - Iter(train) [157000/200000] lr: 4.392e-05 eta: 6:11:45 time: 0.452 data_time: 0.045 memory: 7431 loss: 0.0342 2022/06/21 01:58:31 - mmengine - INFO - Iter(train) [157100/200000] lr: 4.372e-05 eta: 6:10:51 time: 0.492 data_time: 0.060 memory: 7430 loss: 0.0364 2022/06/21 01:59:17 - mmengine - INFO - Iter(train) [157200/200000] lr: 4.352e-05 eta: 6:09:58 time: 0.440 data_time: 0.035 memory: 7433 loss: 0.0368 2022/06/21 02:00:05 - mmengine - INFO - Iter(train) [157300/200000] lr: 4.333e-05 eta: 6:09:05 time: 0.521 data_time: 0.058 memory: 7431 loss: 0.0336 2022/06/21 02:00:52 - mmengine - INFO - Iter(train) [157400/200000] lr: 4.313e-05 eta: 6:08:12 time: 0.459 data_time: 0.041 memory: 7432 loss: 0.0340 2022/06/21 02:01:39 - mmengine - INFO - Iter(train) [157500/200000] lr: 4.294e-05 eta: 6:07:19 time: 0.486 data_time: 0.044 memory: 7431 loss: 0.0380 2022/06/21 02:02:28 - mmengine - INFO - Iter(train) [157600/200000] lr: 4.274e-05 eta: 6:06:26 time: 0.451 data_time: 0.041 memory: 7430 loss: 0.0342 2022/06/21 02:03:15 - mmengine - INFO - Iter(train) [157700/200000] lr: 4.255e-05 eta: 6:05:33 time: 0.475 data_time: 0.056 memory: 7431 loss: 0.0364 2022/06/21 02:04:04 - mmengine - INFO - Iter(train) [157800/200000] lr: 4.236e-05 eta: 6:04:40 time: 0.545 data_time: 0.055 memory: 7432 loss: 0.0355 2022/06/21 02:04:51 - mmengine - INFO - Iter(train) [157900/200000] lr: 4.216e-05 eta: 6:03:47 time: 0.485 data_time: 0.065 memory: 7431 loss: 0.0357 2022/06/21 02:05:39 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/21 02:05:39 - mmengine - INFO - Iter(train) [158000/200000] lr: 4.197e-05 eta: 6:02:54 time: 0.489 data_time: 0.064 memory: 7434 loss: 0.0381 2022/06/21 02:06:27 - mmengine - INFO - Iter(train) [158100/200000] lr: 4.178e-05 eta: 6:02:01 time: 0.487 data_time: 0.046 memory: 7432 loss: 0.0361 2022/06/21 02:07:15 - mmengine - INFO - Iter(train) [158200/200000] lr: 4.159e-05 eta: 6:01:08 time: 0.495 data_time: 0.053 memory: 7436 loss: 0.0335 2022/06/21 02:08:03 - mmengine - INFO - Iter(train) [158300/200000] lr: 4.140e-05 eta: 6:00:16 time: 0.474 data_time: 0.042 memory: 7431 loss: 0.0376 2022/06/21 02:08:50 - mmengine - INFO - Iter(train) [158400/200000] lr: 4.120e-05 eta: 5:59:22 time: 0.466 data_time: 0.052 memory: 7431 loss: 0.0318 2022/06/21 02:09:37 - mmengine - INFO - Iter(train) [158500/200000] lr: 4.101e-05 eta: 5:58:29 time: 0.477 data_time: 0.044 memory: 7433 loss: 0.0340 2022/06/21 02:10:26 - mmengine - INFO - Iter(train) [158600/200000] lr: 4.082e-05 eta: 5:57:37 time: 0.499 data_time: 0.045 memory: 7432 loss: 0.0391 2022/06/21 02:11:13 - mmengine - INFO - Iter(train) [158700/200000] lr: 4.063e-05 eta: 5:56:44 time: 0.488 data_time: 0.050 memory: 7430 loss: 0.0348 2022/06/21 02:12:00 - mmengine - INFO - Iter(train) [158800/200000] lr: 4.044e-05 eta: 5:55:51 time: 0.474 data_time: 0.059 memory: 7432 loss: 0.0371 2022/06/21 02:12:47 - mmengine - INFO - Iter(train) [158900/200000] lr: 4.025e-05 eta: 5:54:57 time: 0.474 data_time: 0.044 memory: 7432 loss: 0.0359 2022/06/21 02:13:35 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/21 02:13:35 - mmengine - INFO - Iter(train) [159000/200000] lr: 4.006e-05 eta: 5:54:05 time: 0.462 data_time: 0.061 memory: 7431 loss: 0.0338 2022/06/21 02:14:22 - mmengine - INFO - Iter(train) [159100/200000] lr: 3.988e-05 eta: 5:53:11 time: 0.498 data_time: 0.067 memory: 7433 loss: 0.0383 2022/06/21 02:15:09 - mmengine - INFO - Iter(train) [159200/200000] lr: 3.969e-05 eta: 5:52:18 time: 0.465 data_time: 0.048 memory: 7433 loss: 0.0359 2022/06/21 02:15:56 - mmengine - INFO - Iter(train) [159300/200000] lr: 3.950e-05 eta: 5:51:25 time: 0.461 data_time: 0.048 memory: 7431 loss: 0.0341 2022/06/21 02:16:44 - mmengine - INFO - Iter(train) [159400/200000] lr: 3.931e-05 eta: 5:50:33 time: 0.474 data_time: 0.045 memory: 7434 loss: 0.0368 2022/06/21 02:17:49 - mmengine - INFO - Iter(train) [159500/200000] lr: 3.913e-05 eta: 5:49:44 time: 0.455 data_time: 0.054 memory: 7432 loss: 0.0344 2022/06/21 02:18:37 - mmengine - INFO - Iter(train) [159600/200000] lr: 3.894e-05 eta: 5:48:51 time: 0.489 data_time: 0.061 memory: 7431 loss: 0.0365 2022/06/21 02:19:24 - mmengine - INFO - Iter(train) [159700/200000] lr: 3.875e-05 eta: 5:47:58 time: 0.486 data_time: 0.048 memory: 7432 loss: 0.0322 2022/06/21 02:20:10 - mmengine - INFO - Iter(train) [159800/200000] lr: 3.857e-05 eta: 5:47:05 time: 0.496 data_time: 0.050 memory: 7431 loss: 0.0363 2022/06/21 02:20:58 - mmengine - INFO - Iter(train) [159900/200000] lr: 3.838e-05 eta: 5:46:12 time: 0.469 data_time: 0.054 memory: 7433 loss: 0.0324 2022/06/21 02:21:46 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/21 02:21:46 - mmengine - INFO - Iter(train) [160000/200000] lr: 3.820e-05 eta: 5:45:19 time: 0.449 data_time: 0.047 memory: 7434 loss: 0.0339 2022/06/21 02:21:46 - mmengine - INFO - Saving checkpoint at 160000 iterations 2022/06/21 02:22:41 - mmengine - INFO - Iter(val) [100/250] eta: 0:01:16 time: 0.509 data_time: 0.025 memory: 2345 2022/06/21 02:23:28 - mmengine - INFO - Iter(val) [200/250] eta: 0:00:25 time: 0.505 data_time: 0.026 memory: 2002 2022/06/21 02:23:58 - mmengine - INFO - Iter(val) [250/250] SAD: 36.9078 MattingMSE: 0.0095 GradientError: 17.6009 ConnectivityError: 34.6897 2022/06/21 02:24:47 - mmengine - INFO - Iter(train) [160100/200000] lr: 3.801e-05 eta: 5:44:27 time: 0.452 data_time: 0.048 memory: 7431 loss: 0.0320 2022/06/21 02:25:35 - mmengine - INFO - Iter(train) [160200/200000] lr: 3.783e-05 eta: 5:43:35 time: 0.478 data_time: 0.048 memory: 7431 loss: 0.0386 2022/06/21 02:26:24 - mmengine - INFO - Iter(train) [160300/200000] lr: 3.765e-05 eta: 5:42:42 time: 0.469 data_time: 0.063 memory: 7431 loss: 0.0327 2022/06/21 02:27:12 - mmengine - INFO - Iter(train) [160400/200000] lr: 3.746e-05 eta: 5:41:49 time: 0.482 data_time: 0.053 memory: 7431 loss: 0.0339 2022/06/21 02:28:00 - mmengine - INFO - Iter(train) [160500/200000] lr: 3.728e-05 eta: 5:40:57 time: 0.539 data_time: 0.046 memory: 7432 loss: 0.0341 2022/06/21 02:28:48 - mmengine - INFO - Iter(train) [160600/200000] lr: 3.710e-05 eta: 5:40:04 time: 0.481 data_time: 0.076 memory: 7430 loss: 0.0347 2022/06/21 02:29:35 - mmengine - INFO - Iter(train) [160700/200000] lr: 3.692e-05 eta: 5:39:11 time: 0.472 data_time: 0.045 memory: 7432 loss: 0.0376 2022/06/21 02:30:21 - mmengine - INFO - Iter(train) [160800/200000] lr: 3.673e-05 eta: 5:38:18 time: 0.453 data_time: 0.049 memory: 7435 loss: 0.0352 2022/06/21 02:31:07 - mmengine - INFO - Iter(train) [160900/200000] lr: 3.655e-05 eta: 5:37:25 time: 0.449 data_time: 0.047 memory: 7432 loss: 0.0376 2022/06/21 02:31:53 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/21 02:31:53 - mmengine - INFO - Iter(train) [161000/200000] lr: 3.637e-05 eta: 5:36:31 time: 0.472 data_time: 0.051 memory: 7431 loss: 0.0344 2022/06/21 02:32:41 - mmengine - INFO - Iter(train) [161100/200000] lr: 3.619e-05 eta: 5:35:38 time: 0.463 data_time: 0.045 memory: 7432 loss: 0.0357 2022/06/21 02:33:26 - mmengine - INFO - Iter(train) [161200/200000] lr: 3.601e-05 eta: 5:34:45 time: 0.450 data_time: 0.041 memory: 7431 loss: 0.0338 2022/06/21 02:34:12 - mmengine - INFO - Iter(train) [161300/200000] lr: 3.583e-05 eta: 5:33:52 time: 0.460 data_time: 0.046 memory: 7430 loss: 0.0318 2022/06/21 02:34:59 - mmengine - INFO - Iter(train) [161400/200000] lr: 3.565e-05 eta: 5:32:59 time: 0.463 data_time: 0.052 memory: 7432 loss: 0.0392 2022/06/21 02:35:47 - mmengine - INFO - Iter(train) [161500/200000] lr: 3.547e-05 eta: 5:32:07 time: 0.435 data_time: 0.042 memory: 7433 loss: 0.0368 2022/06/21 02:36:33 - mmengine - INFO - Iter(train) [161600/200000] lr: 3.530e-05 eta: 5:31:13 time: 0.456 data_time: 0.038 memory: 7431 loss: 0.0355 2022/06/21 02:37:19 - mmengine - INFO - Iter(train) [161700/200000] lr: 3.512e-05 eta: 5:30:20 time: 0.437 data_time: 0.026 memory: 7429 loss: 0.0334 2022/06/21 02:38:05 - mmengine - INFO - Iter(train) [161800/200000] lr: 3.494e-05 eta: 5:29:27 time: 0.472 data_time: 0.050 memory: 7430 loss: 0.0351 2022/06/21 02:38:52 - mmengine - INFO - Iter(train) [161900/200000] lr: 3.476e-05 eta: 5:28:34 time: 0.466 data_time: 0.053 memory: 7432 loss: 0.0365 2022/06/21 02:39:40 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/21 02:39:40 - mmengine - INFO - Iter(train) [162000/200000] lr: 3.459e-05 eta: 5:27:41 time: 0.494 data_time: 0.047 memory: 7433 loss: 0.0359 2022/06/21 02:40:28 - mmengine - INFO - Iter(train) [162100/200000] lr: 3.441e-05 eta: 5:26:49 time: 0.470 data_time: 0.046 memory: 7432 loss: 0.0315 2022/06/21 02:41:16 - mmengine - INFO - Iter(train) [162200/200000] lr: 3.423e-05 eta: 5:25:56 time: 0.482 data_time: 0.061 memory: 7432 loss: 0.0309 2022/06/21 02:42:04 - mmengine - INFO - Iter(train) [162300/200000] lr: 3.406e-05 eta: 5:25:04 time: 0.463 data_time: 0.048 memory: 7430 loss: 0.0367 2022/06/21 02:42:51 - mmengine - INFO - Iter(train) [162400/200000] lr: 3.388e-05 eta: 5:24:11 time: 0.467 data_time: 0.056 memory: 7431 loss: 0.0322 2022/06/21 02:43:39 - mmengine - INFO - Iter(train) [162500/200000] lr: 3.371e-05 eta: 5:23:18 time: 0.480 data_time: 0.066 memory: 7435 loss: 0.0340 2022/06/21 02:44:26 - mmengine - INFO - Iter(train) [162600/200000] lr: 3.353e-05 eta: 5:22:25 time: 0.445 data_time: 0.047 memory: 7430 loss: 0.0334 2022/06/21 02:45:14 - mmengine - INFO - Iter(train) [162700/200000] lr: 3.336e-05 eta: 5:21:33 time: 0.475 data_time: 0.056 memory: 7431 loss: 0.0332 2022/06/21 02:46:01 - mmengine - INFO - Iter(train) [162800/200000] lr: 3.319e-05 eta: 5:20:40 time: 0.489 data_time: 0.045 memory: 7431 loss: 0.0371 2022/06/21 02:46:49 - mmengine - INFO - Iter(train) [162900/200000] lr: 3.301e-05 eta: 5:19:47 time: 0.532 data_time: 0.051 memory: 7433 loss: 0.0316 2022/06/21 02:47:37 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/21 02:47:37 - mmengine - INFO - Iter(train) [163000/200000] lr: 3.284e-05 eta: 5:18:55 time: 0.457 data_time: 0.042 memory: 7433 loss: 0.0371 2022/06/21 02:48:26 - mmengine - INFO - Iter(train) [163100/200000] lr: 3.267e-05 eta: 5:18:02 time: 0.568 data_time: 0.047 memory: 7432 loss: 0.0358 2022/06/21 02:49:13 - mmengine - INFO - Iter(train) [163200/200000] lr: 3.250e-05 eta: 5:17:10 time: 0.470 data_time: 0.061 memory: 7431 loss: 0.0367 2022/06/21 02:50:00 - mmengine - INFO - Iter(train) [163300/200000] lr: 3.232e-05 eta: 5:16:17 time: 0.506 data_time: 0.054 memory: 7433 loss: 0.0331 2022/06/21 02:50:47 - mmengine - INFO - Iter(train) [163400/200000] lr: 3.215e-05 eta: 5:15:24 time: 0.472 data_time: 0.037 memory: 7434 loss: 0.0367 2022/06/21 02:51:35 - mmengine - INFO - Iter(train) [163500/200000] lr: 3.198e-05 eta: 5:14:31 time: 0.469 data_time: 0.047 memory: 7432 loss: 0.0356 2022/06/21 02:52:22 - mmengine - INFO - Iter(train) [163600/200000] lr: 3.181e-05 eta: 5:13:39 time: 0.465 data_time: 0.040 memory: 7433 loss: 0.0353 2022/06/21 02:53:10 - mmengine - INFO - Iter(train) [163700/200000] lr: 3.164e-05 eta: 5:12:46 time: 0.477 data_time: 0.050 memory: 7432 loss: 0.0325 2022/06/21 02:53:57 - mmengine - INFO - Iter(train) [163800/200000] lr: 3.147e-05 eta: 5:11:53 time: 0.468 data_time: 0.033 memory: 7431 loss: 0.0351 2022/06/21 02:54:44 - mmengine - INFO - Iter(train) [163900/200000] lr: 3.130e-05 eta: 5:11:01 time: 0.479 data_time: 0.046 memory: 7433 loss: 0.0352 2022/06/21 02:55:33 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/21 02:55:33 - mmengine - INFO - Iter(train) [164000/200000] lr: 3.114e-05 eta: 5:10:08 time: 0.512 data_time: 0.063 memory: 7430 loss: 0.0339 2022/06/21 02:56:21 - mmengine - INFO - Iter(train) [164100/200000] lr: 3.097e-05 eta: 5:09:16 time: 0.496 data_time: 0.046 memory: 7431 loss: 0.0396 2022/06/21 02:57:09 - mmengine - INFO - Iter(train) [164200/200000] lr: 3.080e-05 eta: 5:08:23 time: 0.452 data_time: 0.047 memory: 7433 loss: 0.0359 2022/06/21 02:57:57 - mmengine - INFO - Iter(train) [164300/200000] lr: 3.063e-05 eta: 5:07:31 time: 0.473 data_time: 0.052 memory: 7431 loss: 0.0399 2022/06/21 02:58:44 - mmengine - INFO - Iter(train) [164400/200000] lr: 3.047e-05 eta: 5:06:38 time: 0.482 data_time: 0.034 memory: 7431 loss: 0.0356 2022/06/21 02:59:32 - mmengine - INFO - Iter(train) [164500/200000] lr: 3.030e-05 eta: 5:05:46 time: 0.459 data_time: 0.056 memory: 7432 loss: 0.0339 2022/06/21 03:00:19 - mmengine - INFO - Iter(train) [164600/200000] lr: 3.013e-05 eta: 5:04:53 time: 0.460 data_time: 0.052 memory: 7431 loss: 0.0369 2022/06/21 03:01:06 - mmengine - INFO - Iter(train) [164700/200000] lr: 2.997e-05 eta: 5:04:00 time: 0.460 data_time: 0.041 memory: 7431 loss: 0.0338 2022/06/21 03:01:57 - mmengine - INFO - Iter(train) [164800/200000] lr: 2.980e-05 eta: 5:03:08 time: 0.458 data_time: 0.038 memory: 7434 loss: 0.0377 2022/06/21 03:02:45 - mmengine - INFO - Iter(train) [164900/200000] lr: 2.964e-05 eta: 5:02:16 time: 0.472 data_time: 0.044 memory: 7431 loss: 0.0340 2022/06/21 03:03:32 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/21 03:03:32 - mmengine - INFO - Iter(train) [165000/200000] lr: 2.947e-05 eta: 5:01:23 time: 0.479 data_time: 0.054 memory: 7432 loss: 0.0329 2022/06/21 03:04:20 - mmengine - INFO - Iter(train) [165100/200000] lr: 2.931e-05 eta: 5:00:31 time: 0.458 data_time: 0.057 memory: 7432 loss: 0.0355 2022/06/21 03:05:07 - mmengine - INFO - Iter(train) [165200/200000] lr: 2.915e-05 eta: 4:59:38 time: 0.481 data_time: 0.068 memory: 7432 loss: 0.0368 2022/06/21 03:05:56 - mmengine - INFO - Iter(train) [165300/200000] lr: 2.898e-05 eta: 4:58:46 time: 0.472 data_time: 0.046 memory: 7432 loss: 0.0318 2022/06/21 03:06:43 - mmengine - INFO - Iter(train) [165400/200000] lr: 2.882e-05 eta: 4:57:53 time: 0.479 data_time: 0.042 memory: 7432 loss: 0.0320 2022/06/21 03:07:30 - mmengine - INFO - Iter(train) [165500/200000] lr: 2.866e-05 eta: 4:57:00 time: 0.457 data_time: 0.037 memory: 7434 loss: 0.0350 2022/06/21 03:08:15 - mmengine - INFO - Iter(train) [165600/200000] lr: 2.850e-05 eta: 4:56:08 time: 0.445 data_time: 0.041 memory: 7430 loss: 0.0367 2022/06/21 03:09:02 - mmengine - INFO - Iter(train) [165700/200000] lr: 2.833e-05 eta: 4:55:15 time: 0.470 data_time: 0.051 memory: 7431 loss: 0.0380 2022/06/21 03:09:48 - mmengine - INFO - Iter(train) [165800/200000] lr: 2.817e-05 eta: 4:54:22 time: 0.459 data_time: 0.042 memory: 7430 loss: 0.0404 2022/06/21 03:10:35 - mmengine - INFO - Iter(train) [165900/200000] lr: 2.801e-05 eta: 4:53:29 time: 0.460 data_time: 0.051 memory: 7432 loss: 0.0354 2022/06/21 03:11:21 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/21 03:11:21 - mmengine - INFO - Iter(train) [166000/200000] lr: 2.785e-05 eta: 4:52:37 time: 0.474 data_time: 0.046 memory: 7433 loss: 0.0329 2022/06/21 03:12:08 - mmengine - INFO - Iter(train) [166100/200000] lr: 2.769e-05 eta: 4:51:44 time: 0.489 data_time: 0.045 memory: 7430 loss: 0.0372 2022/06/21 03:12:54 - mmengine - INFO - Iter(train) [166200/200000] lr: 2.753e-05 eta: 4:50:51 time: 0.463 data_time: 0.041 memory: 7431 loss: 0.0326 2022/06/21 03:13:41 - mmengine - INFO - Iter(train) [166300/200000] lr: 2.738e-05 eta: 4:49:59 time: 0.467 data_time: 0.040 memory: 7432 loss: 0.0356 2022/06/21 03:14:26 - mmengine - INFO - Iter(train) [166400/200000] lr: 2.722e-05 eta: 4:49:06 time: 0.442 data_time: 0.039 memory: 7433 loss: 0.0343 2022/06/21 03:15:13 - mmengine - INFO - Iter(train) [166500/200000] lr: 2.706e-05 eta: 4:48:13 time: 0.450 data_time: 0.037 memory: 7430 loss: 0.0324 2022/06/21 03:16:00 - mmengine - INFO - Iter(train) [166600/200000] lr: 2.690e-05 eta: 4:47:20 time: 0.482 data_time: 0.061 memory: 7433 loss: 0.0327 2022/06/21 03:16:48 - mmengine - INFO - Iter(train) [166700/200000] lr: 2.674e-05 eta: 4:46:28 time: 0.466 data_time: 0.051 memory: 7430 loss: 0.0352 2022/06/21 03:17:36 - mmengine - INFO - Iter(train) [166800/200000] lr: 2.659e-05 eta: 4:45:36 time: 0.481 data_time: 0.051 memory: 7431 loss: 0.0333 2022/06/21 03:18:24 - mmengine - INFO - Iter(train) [166900/200000] lr: 2.643e-05 eta: 4:44:43 time: 0.474 data_time: 0.049 memory: 7431 loss: 0.0332 2022/06/21 03:19:11 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/21 03:19:11 - mmengine - INFO - Iter(train) [167000/200000] lr: 2.628e-05 eta: 4:43:51 time: 0.480 data_time: 0.055 memory: 7431 loss: 0.0349 2022/06/21 03:20:01 - mmengine - INFO - Iter(train) [167100/200000] lr: 2.612e-05 eta: 4:42:59 time: 0.475 data_time: 0.048 memory: 7434 loss: 0.0355 2022/06/21 03:20:49 - mmengine - INFO - Iter(train) [167200/200000] lr: 2.596e-05 eta: 4:42:07 time: 0.462 data_time: 0.051 memory: 7431 loss: 0.0301 2022/06/21 03:21:36 - mmengine - INFO - Iter(train) [167300/200000] lr: 2.581e-05 eta: 4:41:14 time: 0.477 data_time: 0.051 memory: 7431 loss: 0.0411 2022/06/21 03:22:24 - mmengine - INFO - Iter(train) [167400/200000] lr: 2.566e-05 eta: 4:40:22 time: 0.458 data_time: 0.050 memory: 7430 loss: 0.0346 2022/06/21 03:23:12 - mmengine - INFO - Iter(train) [167500/200000] lr: 2.550e-05 eta: 4:39:29 time: 0.468 data_time: 0.044 memory: 7431 loss: 0.0334 2022/06/21 03:24:00 - mmengine - INFO - Iter(train) [167600/200000] lr: 2.535e-05 eta: 4:38:37 time: 0.476 data_time: 0.050 memory: 7432 loss: 0.0351 2022/06/21 03:24:47 - mmengine - INFO - Iter(train) [167700/200000] lr: 2.520e-05 eta: 4:37:45 time: 0.481 data_time: 0.059 memory: 7430 loss: 0.0334 2022/06/21 03:25:35 - mmengine - INFO - Iter(train) [167800/200000] lr: 2.504e-05 eta: 4:36:52 time: 0.467 data_time: 0.047 memory: 7430 loss: 0.0352 2022/06/21 03:26:22 - mmengine - INFO - Iter(train) [167900/200000] lr: 2.489e-05 eta: 4:36:00 time: 0.483 data_time: 0.052 memory: 7431 loss: 0.0364 2022/06/21 03:27:10 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/21 03:27:10 - mmengine - INFO - Iter(train) [168000/200000] lr: 2.474e-05 eta: 4:35:08 time: 0.470 data_time: 0.053 memory: 7430 loss: 0.0298 2022/06/21 03:27:58 - mmengine - INFO - Iter(train) [168100/200000] lr: 2.459e-05 eta: 4:34:15 time: 0.485 data_time: 0.050 memory: 7432 loss: 0.0373 2022/06/21 03:28:47 - mmengine - INFO - Iter(train) [168200/200000] lr: 2.444e-05 eta: 4:33:23 time: 0.477 data_time: 0.061 memory: 7429 loss: 0.0322 2022/06/21 03:29:37 - mmengine - INFO - Iter(train) [168300/200000] lr: 2.429e-05 eta: 4:32:31 time: 0.508 data_time: 0.060 memory: 7431 loss: 0.0355 2022/06/21 03:30:24 - mmengine - INFO - Iter(train) [168400/200000] lr: 2.414e-05 eta: 4:31:39 time: 0.464 data_time: 0.047 memory: 7432 loss: 0.0357 2022/06/21 03:31:13 - mmengine - INFO - Iter(train) [168500/200000] lr: 2.399e-05 eta: 4:30:47 time: 0.494 data_time: 0.044 memory: 7432 loss: 0.0357 2022/06/21 03:32:01 - mmengine - INFO - Iter(train) [168600/200000] lr: 2.384e-05 eta: 4:29:54 time: 0.491 data_time: 0.042 memory: 7430 loss: 0.0341 2022/06/21 03:32:49 - mmengine - INFO - Iter(train) [168700/200000] lr: 2.369e-05 eta: 4:29:02 time: 0.486 data_time: 0.053 memory: 7432 loss: 0.0363 2022/06/21 03:34:12 - mmengine - INFO - Iter(train) [168800/200000] lr: 2.354e-05 eta: 4:28:16 time: 0.497 data_time: 0.063 memory: 7431 loss: 0.0331 2022/06/21 03:35:02 - mmengine - INFO - Iter(train) [168900/200000] lr: 2.340e-05 eta: 4:27:25 time: 0.503 data_time: 0.076 memory: 7432 loss: 0.0364 2022/06/21 03:35:50 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/21 03:35:50 - mmengine - INFO - Iter(train) [169000/200000] lr: 2.325e-05 eta: 4:26:32 time: 0.502 data_time: 0.040 memory: 7429 loss: 0.0335 2022/06/21 03:36:38 - mmengine - INFO - Iter(train) [169100/200000] lr: 2.310e-05 eta: 4:25:40 time: 0.485 data_time: 0.060 memory: 7430 loss: 0.0375 2022/06/21 03:37:28 - mmengine - INFO - Iter(train) [169200/200000] lr: 2.296e-05 eta: 4:24:48 time: 0.471 data_time: 0.045 memory: 7432 loss: 0.0358 2022/06/21 03:38:16 - mmengine - INFO - Iter(train) [169300/200000] lr: 2.281e-05 eta: 4:23:56 time: 0.485 data_time: 0.053 memory: 7436 loss: 0.0399 2022/06/21 03:39:04 - mmengine - INFO - Iter(train) [169400/200000] lr: 2.266e-05 eta: 4:23:04 time: 0.514 data_time: 0.049 memory: 7431 loss: 0.0329 2022/06/21 03:39:55 - mmengine - INFO - Iter(train) [169500/200000] lr: 2.252e-05 eta: 4:22:12 time: 0.448 data_time: 0.041 memory: 7431 loss: 0.0322 2022/06/21 03:40:42 - mmengine - INFO - Iter(train) [169600/200000] lr: 2.237e-05 eta: 4:21:19 time: 0.483 data_time: 0.047 memory: 7431 loss: 0.0363 2022/06/21 03:41:30 - mmengine - INFO - Iter(train) [169700/200000] lr: 2.223e-05 eta: 4:20:27 time: 0.490 data_time: 0.057 memory: 7431 loss: 0.0332 2022/06/21 03:42:22 - mmengine - INFO - Iter(train) [169800/200000] lr: 2.209e-05 eta: 4:19:36 time: 0.484 data_time: 0.055 memory: 7432 loss: 0.0334 2022/06/21 03:43:12 - mmengine - INFO - Iter(train) [169900/200000] lr: 2.194e-05 eta: 4:18:44 time: 0.488 data_time: 0.057 memory: 7432 loss: 0.0405 2022/06/21 03:44:02 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/21 03:44:02 - mmengine - INFO - Iter(train) [170000/200000] lr: 2.180e-05 eta: 4:17:52 time: 0.549 data_time: 0.049 memory: 7432 loss: 0.0325 2022/06/21 03:44:02 - mmengine - INFO - Saving checkpoint at 170000 iterations 2022/06/21 03:44:58 - mmengine - INFO - Iter(val) [100/250] eta: 0:01:17 time: 0.516 data_time: 0.027 memory: 2343 2022/06/21 03:45:46 - mmengine - INFO - Iter(val) [200/250] eta: 0:00:24 time: 0.492 data_time: 0.028 memory: 1999 2022/06/21 03:46:17 - mmengine - INFO - Iter(val) [250/250] SAD: 35.6662 MattingMSE: 0.0086 GradientError: 17.1264 ConnectivityError: 33.3919 2022/06/21 03:47:06 - mmengine - INFO - Iter(train) [170100/200000] lr: 2.166e-05 eta: 4:17:01 time: 0.561 data_time: 0.067 memory: 7433 loss: 0.0378 2022/06/21 03:47:54 - mmengine - INFO - Iter(train) [170200/200000] lr: 2.152e-05 eta: 4:16:08 time: 0.468 data_time: 0.051 memory: 7434 loss: 0.0356 2022/06/21 03:48:42 - mmengine - INFO - Iter(train) [170300/200000] lr: 2.137e-05 eta: 4:15:16 time: 0.474 data_time: 0.038 memory: 7431 loss: 0.0322 2022/06/21 03:49:30 - mmengine - INFO - Iter(train) [170400/200000] lr: 2.123e-05 eta: 4:14:24 time: 0.473 data_time: 0.039 memory: 7431 loss: 0.0312 2022/06/21 03:50:18 - mmengine - INFO - Iter(train) [170500/200000] lr: 2.109e-05 eta: 4:13:32 time: 0.486 data_time: 0.048 memory: 7433 loss: 0.0363 2022/06/21 03:51:06 - mmengine - INFO - Iter(train) [170600/200000] lr: 2.095e-05 eta: 4:12:40 time: 0.485 data_time: 0.045 memory: 7433 loss: 0.0348 2022/06/21 03:51:53 - mmengine - INFO - Iter(train) [170700/200000] lr: 2.081e-05 eta: 4:11:47 time: 0.461 data_time: 0.049 memory: 7432 loss: 0.0378 2022/06/21 03:52:41 - mmengine - INFO - Iter(train) [170800/200000] lr: 2.067e-05 eta: 4:10:55 time: 0.481 data_time: 0.057 memory: 7434 loss: 0.0314 2022/06/21 03:53:29 - mmengine - INFO - Iter(train) [170900/200000] lr: 2.053e-05 eta: 4:10:03 time: 0.481 data_time: 0.044 memory: 7431 loss: 0.0341 2022/06/21 03:54:19 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/21 03:54:19 - mmengine - INFO - Iter(train) [171000/200000] lr: 2.040e-05 eta: 4:09:11 time: 0.523 data_time: 0.047 memory: 7431 loss: 0.0336 2022/06/21 03:55:08 - mmengine - INFO - Iter(train) [171100/200000] lr: 2.026e-05 eta: 4:08:19 time: 0.510 data_time: 0.062 memory: 7433 loss: 0.0348 2022/06/21 03:56:00 - mmengine - INFO - Iter(train) [171200/200000] lr: 2.012e-05 eta: 4:07:28 time: 0.491 data_time: 0.056 memory: 7431 loss: 0.0330 2022/06/21 03:56:49 - mmengine - INFO - Iter(train) [171300/200000] lr: 1.998e-05 eta: 4:06:35 time: 0.482 data_time: 0.055 memory: 7432 loss: 0.0336 2022/06/21 03:57:39 - mmengine - INFO - Iter(train) [171400/200000] lr: 1.985e-05 eta: 4:05:44 time: 0.486 data_time: 0.051 memory: 7430 loss: 0.0349 2022/06/21 03:58:28 - mmengine - INFO - Iter(train) [171500/200000] lr: 1.971e-05 eta: 4:04:52 time: 0.482 data_time: 0.056 memory: 7430 loss: 0.0338 2022/06/21 03:59:18 - mmengine - INFO - Iter(train) [171600/200000] lr: 1.957e-05 eta: 4:04:00 time: 0.481 data_time: 0.049 memory: 7433 loss: 0.0297 2022/06/21 04:00:11 - mmengine - INFO - Iter(train) [171700/200000] lr: 1.944e-05 eta: 4:03:09 time: 0.993 data_time: 0.517 memory: 7433 loss: 0.0366 2022/06/21 04:01:04 - mmengine - INFO - Iter(train) [171800/200000] lr: 1.930e-05 eta: 4:02:17 time: 0.486 data_time: 0.050 memory: 7431 loss: 0.0329 2022/06/21 04:01:53 - mmengine - INFO - Iter(train) [171900/200000] lr: 1.917e-05 eta: 4:01:25 time: 0.485 data_time: 0.046 memory: 7431 loss: 0.0325 2022/06/21 04:02:43 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/21 04:02:43 - mmengine - INFO - Iter(train) [172000/200000] lr: 1.904e-05 eta: 4:00:33 time: 0.506 data_time: 0.066 memory: 7433 loss: 0.0324 2022/06/21 04:03:32 - mmengine - INFO - Iter(train) [172100/200000] lr: 1.890e-05 eta: 3:59:41 time: 0.493 data_time: 0.071 memory: 7431 loss: 0.0353 2022/06/21 04:04:21 - mmengine - INFO - Iter(train) [172200/200000] lr: 1.877e-05 eta: 3:58:50 time: 0.482 data_time: 0.062 memory: 7431 loss: 0.0360 2022/06/21 04:05:11 - mmengine - INFO - Iter(train) [172300/200000] lr: 1.864e-05 eta: 3:57:58 time: 0.480 data_time: 0.066 memory: 7431 loss: 0.0327 2022/06/21 04:06:03 - mmengine - INFO - Iter(train) [172400/200000] lr: 1.850e-05 eta: 3:57:06 time: 0.490 data_time: 0.054 memory: 7431 loss: 0.0369 2022/06/21 04:06:51 - mmengine - INFO - Iter(train) [172500/200000] lr: 1.837e-05 eta: 3:56:14 time: 0.505 data_time: 0.063 memory: 7436 loss: 0.0303 2022/06/21 04:07:41 - mmengine - INFO - Iter(train) [172600/200000] lr: 1.824e-05 eta: 3:55:22 time: 0.544 data_time: 0.055 memory: 7430 loss: 0.0367 2022/06/21 04:08:32 - mmengine - INFO - Iter(train) [172700/200000] lr: 1.811e-05 eta: 3:54:31 time: 0.511 data_time: 0.058 memory: 7432 loss: 0.0347 2022/06/21 04:09:21 - mmengine - INFO - Iter(train) [172800/200000] lr: 1.798e-05 eta: 3:53:39 time: 0.467 data_time: 0.046 memory: 7431 loss: 0.0388 2022/06/21 04:10:10 - mmengine - INFO - Iter(train) [172900/200000] lr: 1.785e-05 eta: 3:52:47 time: 0.488 data_time: 0.066 memory: 7430 loss: 0.0337 2022/06/21 04:11:01 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/21 04:11:01 - mmengine - INFO - Iter(train) [173000/200000] lr: 1.772e-05 eta: 3:51:55 time: 0.506 data_time: 0.062 memory: 7430 loss: 0.0335 2022/06/21 04:11:54 - mmengine - INFO - Iter(train) [173100/200000] lr: 1.759e-05 eta: 3:51:04 time: 0.500 data_time: 0.047 memory: 7429 loss: 0.0324 2022/06/21 04:12:44 - mmengine - INFO - Iter(train) [173200/200000] lr: 1.746e-05 eta: 3:50:12 time: 0.495 data_time: 0.064 memory: 7430 loss: 0.0356 2022/06/21 04:13:56 - mmengine - INFO - Iter(train) [173300/200000] lr: 1.733e-05 eta: 3:49:24 time: 0.517 data_time: 0.049 memory: 7432 loss: 0.0326 2022/06/21 04:14:46 - mmengine - INFO - Iter(train) [173400/200000] lr: 1.721e-05 eta: 3:48:32 time: 0.509 data_time: 0.071 memory: 7432 loss: 0.0319 2022/06/21 04:15:35 - mmengine - INFO - Iter(train) [173500/200000] lr: 1.708e-05 eta: 3:47:40 time: 0.510 data_time: 0.059 memory: 7430 loss: 0.0393 2022/06/21 04:16:28 - mmengine - INFO - Iter(train) [173600/200000] lr: 1.695e-05 eta: 3:46:48 time: 0.492 data_time: 0.046 memory: 7431 loss: 0.0365 2022/06/21 04:17:17 - mmengine - INFO - Iter(train) [173700/200000] lr: 1.683e-05 eta: 3:45:57 time: 0.560 data_time: 0.054 memory: 7431 loss: 0.0360 2022/06/21 04:18:08 - mmengine - INFO - Iter(train) [173800/200000] lr: 1.670e-05 eta: 3:45:05 time: 0.483 data_time: 0.052 memory: 7431 loss: 0.0330 2022/06/21 04:18:57 - mmengine - INFO - Iter(train) [173900/200000] lr: 1.658e-05 eta: 3:44:13 time: 0.480 data_time: 0.046 memory: 7432 loss: 0.0354 2022/06/21 04:19:46 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/21 04:19:46 - mmengine - INFO - Iter(train) [174000/200000] lr: 1.645e-05 eta: 3:43:21 time: 0.492 data_time: 0.043 memory: 7435 loss: 0.0346 2022/06/21 04:20:35 - mmengine - INFO - Iter(train) [174100/200000] lr: 1.633e-05 eta: 3:42:29 time: 0.490 data_time: 0.048 memory: 7432 loss: 0.0360 2022/06/21 04:21:25 - mmengine - INFO - Iter(train) [174200/200000] lr: 1.620e-05 eta: 3:41:37 time: 0.524 data_time: 0.053 memory: 7432 loss: 0.0325 2022/06/21 04:22:17 - mmengine - INFO - Iter(train) [174300/200000] lr: 1.608e-05 eta: 3:40:46 time: 0.508 data_time: 0.059 memory: 7432 loss: 0.0372 2022/06/21 04:23:05 - mmengine - INFO - Iter(train) [174400/200000] lr: 1.595e-05 eta: 3:39:54 time: 0.461 data_time: 0.042 memory: 7429 loss: 0.0365 2022/06/21 04:23:57 - mmengine - INFO - Iter(train) [174500/200000] lr: 1.583e-05 eta: 3:39:02 time: 0.468 data_time: 0.061 memory: 7430 loss: 0.0330 2022/06/21 04:24:45 - mmengine - INFO - Iter(train) [174600/200000] lr: 1.571e-05 eta: 3:38:10 time: 0.466 data_time: 0.041 memory: 7431 loss: 0.0355 2022/06/21 04:25:33 - mmengine - INFO - Iter(train) [174700/200000] lr: 1.559e-05 eta: 3:37:18 time: 0.484 data_time: 0.052 memory: 7431 loss: 0.0352 2022/06/21 04:26:21 - mmengine - INFO - Iter(train) [174800/200000] lr: 1.547e-05 eta: 3:36:26 time: 0.483 data_time: 0.058 memory: 7429 loss: 0.0329 2022/06/21 04:27:46 - mmengine - INFO - Iter(train) [174900/200000] lr: 1.535e-05 eta: 3:35:39 time: 0.460 data_time: 0.052 memory: 7431 loss: 0.0365 2022/06/21 04:28:34 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/21 04:28:34 - mmengine - INFO - Iter(train) [175000/200000] lr: 1.523e-05 eta: 3:34:47 time: 0.485 data_time: 0.065 memory: 7433 loss: 0.0333 2022/06/21 04:29:21 - mmengine - INFO - Iter(train) [175100/200000] lr: 1.511e-05 eta: 3:33:55 time: 0.500 data_time: 0.046 memory: 7429 loss: 0.0363 2022/06/21 04:30:12 - mmengine - INFO - Iter(train) [175200/200000] lr: 1.499e-05 eta: 3:33:03 time: 0.487 data_time: 0.055 memory: 7431 loss: 0.0381 2022/06/21 04:31:00 - mmengine - INFO - Iter(train) [175300/200000] lr: 1.487e-05 eta: 3:32:11 time: 0.489 data_time: 0.066 memory: 7430 loss: 0.0371 2022/06/21 04:31:48 - mmengine - INFO - Iter(train) [175400/200000] lr: 1.475e-05 eta: 3:31:19 time: 0.493 data_time: 0.071 memory: 7431 loss: 0.0326 2022/06/21 04:32:37 - mmengine - INFO - Iter(train) [175500/200000] lr: 1.463e-05 eta: 3:30:27 time: 0.512 data_time: 0.051 memory: 7432 loss: 0.0370 2022/06/21 04:33:27 - mmengine - INFO - Iter(train) [175600/200000] lr: 1.451e-05 eta: 3:29:36 time: 0.473 data_time: 0.058 memory: 7431 loss: 0.0364 2022/06/21 04:34:16 - mmengine - INFO - Iter(train) [175700/200000] lr: 1.439e-05 eta: 3:28:44 time: 0.492 data_time: 0.046 memory: 7431 loss: 0.0348 2022/06/21 04:35:05 - mmengine - INFO - Iter(train) [175800/200000] lr: 1.428e-05 eta: 3:27:52 time: 0.496 data_time: 0.059 memory: 7431 loss: 0.0338 2022/06/21 04:35:54 - mmengine - INFO - Iter(train) [175900/200000] lr: 1.416e-05 eta: 3:27:00 time: 0.476 data_time: 0.053 memory: 7430 loss: 0.0315 2022/06/21 04:36:44 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/21 04:36:44 - mmengine - INFO - Iter(train) [176000/200000] lr: 1.405e-05 eta: 3:26:08 time: 0.477 data_time: 0.058 memory: 7431 loss: 0.0360 2022/06/21 04:37:34 - mmengine - INFO - Iter(train) [176100/200000] lr: 1.393e-05 eta: 3:25:16 time: 0.472 data_time: 0.054 memory: 7432 loss: 0.0325 2022/06/21 04:38:25 - mmengine - INFO - Iter(train) [176200/200000] lr: 1.382e-05 eta: 3:24:25 time: 0.482 data_time: 0.048 memory: 7430 loss: 0.0339 2022/06/21 04:39:17 - mmengine - INFO - Iter(train) [176300/200000] lr: 1.370e-05 eta: 3:23:33 time: 0.523 data_time: 0.069 memory: 7430 loss: 0.0384 2022/06/21 04:40:06 - mmengine - INFO - Iter(train) [176400/200000] lr: 1.359e-05 eta: 3:22:41 time: 0.471 data_time: 0.043 memory: 7430 loss: 0.0360 2022/06/21 04:40:58 - mmengine - INFO - Iter(train) [176500/200000] lr: 1.347e-05 eta: 3:21:50 time: 0.499 data_time: 0.043 memory: 7433 loss: 0.0354 2022/06/21 04:41:47 - mmengine - INFO - Iter(train) [176600/200000] lr: 1.336e-05 eta: 3:20:58 time: 0.506 data_time: 0.070 memory: 7431 loss: 0.0367 2022/06/21 04:42:37 - mmengine - INFO - Iter(train) [176700/200000] lr: 1.325e-05 eta: 3:20:06 time: 0.494 data_time: 0.065 memory: 7431 loss: 0.0328 2022/06/21 04:43:25 - mmengine - INFO - Iter(train) [176800/200000] lr: 1.314e-05 eta: 3:19:14 time: 0.488 data_time: 0.047 memory: 7431 loss: 0.0322 2022/06/21 04:44:16 - mmengine - INFO - Iter(train) [176900/200000] lr: 1.302e-05 eta: 3:18:23 time: 0.524 data_time: 0.074 memory: 7430 loss: 0.0354 2022/06/21 04:45:06 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/21 04:45:06 - mmengine - INFO - Iter(train) [177000/200000] lr: 1.291e-05 eta: 3:17:31 time: 0.487 data_time: 0.062 memory: 7428 loss: 0.0341 2022/06/21 04:45:55 - mmengine - INFO - Iter(train) [177100/200000] lr: 1.280e-05 eta: 3:16:39 time: 0.506 data_time: 0.048 memory: 7432 loss: 0.0329 2022/06/21 04:46:46 - mmengine - INFO - Iter(train) [177200/200000] lr: 1.269e-05 eta: 3:15:47 time: 0.482 data_time: 0.047 memory: 7431 loss: 0.0352 2022/06/21 04:47:35 - mmengine - INFO - Iter(train) [177300/200000] lr: 1.258e-05 eta: 3:14:56 time: 0.489 data_time: 0.052 memory: 7430 loss: 0.0367 2022/06/21 04:48:27 - mmengine - INFO - Iter(train) [177400/200000] lr: 1.247e-05 eta: 3:14:04 time: 0.507 data_time: 0.058 memory: 7430 loss: 0.0339 2022/06/21 04:49:16 - mmengine - INFO - Iter(train) [177500/200000] lr: 1.236e-05 eta: 3:13:12 time: 0.510 data_time: 0.046 memory: 7431 loss: 0.0343 2022/06/21 04:50:06 - mmengine - INFO - Iter(train) [177600/200000] lr: 1.225e-05 eta: 3:12:20 time: 0.492 data_time: 0.054 memory: 7431 loss: 0.0328 2022/06/21 04:50:57 - mmengine - INFO - Iter(train) [177700/200000] lr: 1.215e-05 eta: 3:11:29 time: 0.500 data_time: 0.046 memory: 7430 loss: 0.0363 2022/06/21 04:51:46 - mmengine - INFO - Iter(train) [177800/200000] lr: 1.204e-05 eta: 3:10:37 time: 0.473 data_time: 0.050 memory: 7430 loss: 0.0370 2022/06/21 04:52:36 - mmengine - INFO - Iter(train) [177900/200000] lr: 1.193e-05 eta: 3:09:45 time: 0.503 data_time: 0.048 memory: 7431 loss: 0.0366 2022/06/21 04:53:24 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/21 04:53:24 - mmengine - INFO - Iter(train) [178000/200000] lr: 1.182e-05 eta: 3:08:53 time: 0.483 data_time: 0.057 memory: 7431 loss: 0.0379 2022/06/21 04:54:13 - mmengine - INFO - Iter(train) [178100/200000] lr: 1.172e-05 eta: 3:08:02 time: 0.472 data_time: 0.059 memory: 7433 loss: 0.0369 2022/06/21 04:55:03 - mmengine - INFO - Iter(train) [178200/200000] lr: 1.161e-05 eta: 3:07:10 time: 0.479 data_time: 0.054 memory: 7433 loss: 0.0358 2022/06/21 04:55:51 - mmengine - INFO - Iter(train) [178300/200000] lr: 1.151e-05 eta: 3:06:18 time: 0.524 data_time: 0.069 memory: 7432 loss: 0.0339 2022/06/21 04:56:41 - mmengine - INFO - Iter(train) [178400/200000] lr: 1.140e-05 eta: 3:05:26 time: 0.506 data_time: 0.050 memory: 7430 loss: 0.0348 2022/06/21 04:57:31 - mmengine - INFO - Iter(train) [178500/200000] lr: 1.130e-05 eta: 3:04:34 time: 0.514 data_time: 0.055 memory: 7432 loss: 0.0317 2022/06/21 04:58:21 - mmengine - INFO - Iter(train) [178600/200000] lr: 1.119e-05 eta: 3:03:43 time: 0.506 data_time: 0.079 memory: 7430 loss: 0.0368 2022/06/21 04:59:13 - mmengine - INFO - Iter(train) [178700/200000] lr: 1.109e-05 eta: 3:02:51 time: 0.623 data_time: 0.042 memory: 7431 loss: 0.0351 2022/06/21 05:00:01 - mmengine - INFO - Iter(train) [178800/200000] lr: 1.099e-05 eta: 3:01:59 time: 0.500 data_time: 0.059 memory: 7431 loss: 0.0325 2022/06/21 05:00:52 - mmengine - INFO - Iter(train) [178900/200000] lr: 1.089e-05 eta: 3:01:08 time: 0.479 data_time: 0.058 memory: 7430 loss: 0.0336 2022/06/21 05:01:39 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/21 05:01:39 - mmengine - INFO - Iter(train) [179000/200000] lr: 1.078e-05 eta: 3:00:16 time: 0.463 data_time: 0.046 memory: 7431 loss: 0.0340 2022/06/21 05:02:27 - mmengine - INFO - Iter(train) [179100/200000] lr: 1.068e-05 eta: 2:59:24 time: 0.469 data_time: 0.052 memory: 7431 loss: 0.0356 2022/06/21 05:03:14 - mmengine - INFO - Iter(train) [179200/200000] lr: 1.058e-05 eta: 2:58:32 time: 0.473 data_time: 0.056 memory: 7432 loss: 0.0317 2022/06/21 05:04:03 - mmengine - INFO - Iter(train) [179300/200000] lr: 1.048e-05 eta: 2:57:40 time: 0.505 data_time: 0.062 memory: 7430 loss: 0.0325 2022/06/21 05:04:50 - mmengine - INFO - Iter(train) [179400/200000] lr: 1.038e-05 eta: 2:56:48 time: 0.452 data_time: 0.049 memory: 7433 loss: 0.0334 2022/06/21 05:05:38 - mmengine - INFO - Iter(train) [179500/200000] lr: 1.028e-05 eta: 2:55:56 time: 0.482 data_time: 0.060 memory: 7429 loss: 0.0381 2022/06/21 05:06:27 - mmengine - INFO - Iter(train) [179600/200000] lr: 1.018e-05 eta: 2:55:04 time: 0.519 data_time: 0.083 memory: 7432 loss: 0.0369 2022/06/21 05:07:16 - mmengine - INFO - Iter(train) [179700/200000] lr: 1.008e-05 eta: 2:54:12 time: 0.493 data_time: 0.059 memory: 7432 loss: 0.0302 2022/06/21 05:08:03 - mmengine - INFO - Iter(train) [179800/200000] lr: 9.985e-06 eta: 2:53:20 time: 0.482 data_time: 0.059 memory: 7431 loss: 0.0345 2022/06/21 05:08:51 - mmengine - INFO - Iter(train) [179900/200000] lr: 9.887e-06 eta: 2:52:29 time: 0.463 data_time: 0.049 memory: 7432 loss: 0.0331 2022/06/21 05:09:39 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/21 05:09:39 - mmengine - INFO - Iter(train) [180000/200000] lr: 9.790e-06 eta: 2:51:37 time: 0.480 data_time: 0.052 memory: 7430 loss: 0.0359 2022/06/21 05:09:39 - mmengine - INFO - Saving checkpoint at 180000 iterations 2022/06/21 05:10:35 - mmengine - INFO - Iter(val) [100/250] eta: 0:01:16 time: 0.511 data_time: 0.026 memory: 2344 2022/06/21 05:11:24 - mmengine - INFO - Iter(val) [200/250] eta: 0:00:24 time: 0.499 data_time: 0.026 memory: 1999 2022/06/21 05:11:52 - mmengine - INFO - Iter(val) [250/250] SAD: 35.3980 MattingMSE: 0.0086 GradientError: 16.8235 ConnectivityError: 33.0453 2022/06/21 05:12:41 - mmengine - INFO - Iter(train) [180100/200000] lr: 9.693e-06 eta: 2:50:45 time: 0.485 data_time: 0.063 memory: 7431 loss: 0.0357 2022/06/21 05:13:31 - mmengine - INFO - Iter(train) [180200/200000] lr: 9.596e-06 eta: 2:49:53 time: 0.482 data_time: 0.049 memory: 7431 loss: 0.0357 2022/06/21 05:14:21 - mmengine - INFO - Iter(train) [180300/200000] lr: 9.501e-06 eta: 2:49:02 time: 0.483 data_time: 0.052 memory: 7433 loss: 0.0320 2022/06/21 05:15:11 - mmengine - INFO - Iter(train) [180400/200000] lr: 9.405e-06 eta: 2:48:10 time: 0.493 data_time: 0.065 memory: 7432 loss: 0.0350 2022/06/21 05:16:00 - mmengine - INFO - Iter(train) [180500/200000] lr: 9.310e-06 eta: 2:47:18 time: 0.471 data_time: 0.041 memory: 7431 loss: 0.0371 2022/06/21 05:16:50 - mmengine - INFO - Iter(train) [180600/200000] lr: 9.216e-06 eta: 2:46:27 time: 0.533 data_time: 0.086 memory: 7430 loss: 0.0348 2022/06/21 05:17:39 - mmengine - INFO - Iter(train) [180700/200000] lr: 9.122e-06 eta: 2:45:35 time: 0.479 data_time: 0.050 memory: 7431 loss: 0.0323 2022/06/21 05:18:29 - mmengine - INFO - Iter(train) [180800/200000] lr: 9.028e-06 eta: 2:44:43 time: 0.488 data_time: 0.051 memory: 7430 loss: 0.0321 2022/06/21 05:19:18 - mmengine - INFO - Iter(train) [180900/200000] lr: 8.935e-06 eta: 2:43:51 time: 0.508 data_time: 0.064 memory: 7431 loss: 0.0341 2022/06/21 05:20:09 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/21 05:20:09 - mmengine - INFO - Iter(train) [181000/200000] lr: 8.842e-06 eta: 2:43:00 time: 0.497 data_time: 0.063 memory: 7432 loss: 0.0311 2022/06/21 05:20:58 - mmengine - INFO - Iter(train) [181100/200000] lr: 8.750e-06 eta: 2:42:08 time: 0.465 data_time: 0.040 memory: 7431 loss: 0.0346 2022/06/21 05:21:53 - mmengine - INFO - Iter(train) [181200/200000] lr: 8.659e-06 eta: 2:41:17 time: 0.460 data_time: 0.048 memory: 7433 loss: 0.0346 2022/06/21 05:22:42 - mmengine - INFO - Iter(train) [181300/200000] lr: 8.567e-06 eta: 2:40:25 time: 0.481 data_time: 0.051 memory: 7431 loss: 0.0317 2022/06/21 05:23:32 - mmengine - INFO - Iter(train) [181400/200000] lr: 8.477e-06 eta: 2:39:34 time: 0.494 data_time: 0.072 memory: 7432 loss: 0.0393 2022/06/21 05:24:22 - mmengine - INFO - Iter(train) [181500/200000] lr: 8.386e-06 eta: 2:38:42 time: 0.486 data_time: 0.065 memory: 7431 loss: 0.0338 2022/06/21 05:25:12 - mmengine - INFO - Iter(train) [181600/200000] lr: 8.297e-06 eta: 2:37:50 time: 0.537 data_time: 0.067 memory: 7431 loss: 0.0383 2022/06/21 05:26:05 - mmengine - INFO - Iter(train) [181700/200000] lr: 8.207e-06 eta: 2:36:59 time: 0.511 data_time: 0.051 memory: 7430 loss: 0.0321 2022/06/21 05:26:55 - mmengine - INFO - Iter(train) [181800/200000] lr: 8.118e-06 eta: 2:36:07 time: 0.518 data_time: 0.056 memory: 7431 loss: 0.0346 2022/06/21 05:27:44 - mmengine - INFO - Iter(train) [181900/200000] lr: 8.030e-06 eta: 2:35:16 time: 0.493 data_time: 0.060 memory: 7433 loss: 0.0350 2022/06/21 05:28:34 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/21 05:28:34 - mmengine - INFO - Iter(train) [182000/200000] lr: 7.942e-06 eta: 2:34:24 time: 0.513 data_time: 0.077 memory: 7430 loss: 0.0353 2022/06/21 05:29:22 - mmengine - INFO - Iter(train) [182100/200000] lr: 7.855e-06 eta: 2:33:32 time: 0.473 data_time: 0.051 memory: 7431 loss: 0.0357 2022/06/21 05:30:11 - mmengine - INFO - Iter(train) [182200/200000] lr: 7.768e-06 eta: 2:32:41 time: 0.507 data_time: 0.052 memory: 7431 loss: 0.0342 2022/06/21 05:31:01 - mmengine - INFO - Iter(train) [182300/200000] lr: 7.681e-06 eta: 2:31:49 time: 0.535 data_time: 0.071 memory: 7430 loss: 0.0326 2022/06/21 05:31:51 - mmengine - INFO - Iter(train) [182400/200000] lr: 7.595e-06 eta: 2:30:57 time: 0.496 data_time: 0.046 memory: 7433 loss: 0.0352 2022/06/21 05:32:42 - mmengine - INFO - Iter(train) [182500/200000] lr: 7.510e-06 eta: 2:30:06 time: 0.478 data_time: 0.053 memory: 7431 loss: 0.0311 2022/06/21 05:33:31 - mmengine - INFO - Iter(train) [182600/200000] lr: 7.425e-06 eta: 2:29:14 time: 0.498 data_time: 0.064 memory: 7430 loss: 0.0367 2022/06/21 05:34:22 - mmengine - INFO - Iter(train) [182700/200000] lr: 7.340e-06 eta: 2:28:23 time: 0.480 data_time: 0.041 memory: 7430 loss: 0.0378 2022/06/21 05:35:12 - mmengine - INFO - Iter(train) [182800/200000] lr: 7.256e-06 eta: 2:27:31 time: 0.462 data_time: 0.043 memory: 7430 loss: 0.0334 2022/06/21 05:36:01 - mmengine - INFO - Iter(train) [182900/200000] lr: 7.172e-06 eta: 2:26:39 time: 0.489 data_time: 0.045 memory: 7430 loss: 0.0349 2022/06/21 05:36:51 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/21 05:36:51 - mmengine - INFO - Iter(train) [183000/200000] lr: 7.089e-06 eta: 2:25:48 time: 0.511 data_time: 0.059 memory: 7432 loss: 0.0361 2022/06/21 05:37:42 - mmengine - INFO - Iter(train) [183100/200000] lr: 7.007e-06 eta: 2:24:56 time: 0.498 data_time: 0.064 memory: 7433 loss: 0.0303 2022/06/21 05:38:32 - mmengine - INFO - Iter(train) [183200/200000] lr: 6.924e-06 eta: 2:24:04 time: 0.475 data_time: 0.055 memory: 7433 loss: 0.0348 2022/06/21 05:39:20 - mmengine - INFO - Iter(train) [183300/200000] lr: 6.843e-06 eta: 2:23:13 time: 0.482 data_time: 0.050 memory: 7429 loss: 0.0326 2022/06/21 05:40:07 - mmengine - INFO - Iter(train) [183400/200000] lr: 6.762e-06 eta: 2:22:21 time: 0.479 data_time: 0.050 memory: 7431 loss: 0.0318 2022/06/21 05:40:55 - mmengine - INFO - Iter(train) [183500/200000] lr: 6.681e-06 eta: 2:21:29 time: 0.503 data_time: 0.042 memory: 7430 loss: 0.0372 2022/06/21 05:41:42 - mmengine - INFO - Iter(train) [183600/200000] lr: 6.601e-06 eta: 2:20:37 time: 0.461 data_time: 0.037 memory: 7430 loss: 0.0379 2022/06/21 05:42:29 - mmengine - INFO - Iter(train) [183700/200000] lr: 6.521e-06 eta: 2:19:45 time: 0.487 data_time: 0.051 memory: 7431 loss: 0.0340 2022/06/21 05:43:16 - mmengine - INFO - Iter(train) [183800/200000] lr: 6.441e-06 eta: 2:18:54 time: 0.469 data_time: 0.049 memory: 7432 loss: 0.0313 2022/06/21 05:44:05 - mmengine - INFO - Iter(train) [183900/200000] lr: 6.363e-06 eta: 2:18:02 time: 0.480 data_time: 0.047 memory: 7432 loss: 0.0344 2022/06/21 05:44:53 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/21 05:44:53 - mmengine - INFO - Iter(train) [184000/200000] lr: 6.284e-06 eta: 2:17:10 time: 0.494 data_time: 0.048 memory: 7432 loss: 0.0331 2022/06/21 05:45:42 - mmengine - INFO - Iter(train) [184100/200000] lr: 6.206e-06 eta: 2:16:18 time: 0.464 data_time: 0.049 memory: 7433 loss: 0.0346 2022/06/21 05:46:45 - mmengine - INFO - Iter(train) [184200/200000] lr: 6.129e-06 eta: 2:15:28 time: 0.455 data_time: 0.047 memory: 7432 loss: 0.0344 2022/06/21 05:47:34 - mmengine - INFO - Iter(train) [184300/200000] lr: 6.052e-06 eta: 2:14:36 time: 0.487 data_time: 0.063 memory: 7431 loss: 0.0318 2022/06/21 05:48:24 - mmengine - INFO - Iter(train) [184400/200000] lr: 5.975e-06 eta: 2:13:45 time: 0.485 data_time: 0.057 memory: 7431 loss: 0.0364 2022/06/21 05:49:20 - mmengine - INFO - Iter(train) [184500/200000] lr: 5.899e-06 eta: 2:12:54 time: 0.899 data_time: 0.487 memory: 7430 loss: 0.0344 2022/06/21 05:50:10 - mmengine - INFO - Iter(train) [184600/200000] lr: 5.824e-06 eta: 2:12:02 time: 0.546 data_time: 0.094 memory: 7430 loss: 0.0368 2022/06/21 05:51:00 - mmengine - INFO - Iter(train) [184700/200000] lr: 5.749e-06 eta: 2:11:11 time: 0.476 data_time: 0.054 memory: 7430 loss: 0.0349 2022/06/21 05:51:50 - mmengine - INFO - Iter(train) [184800/200000] lr: 5.674e-06 eta: 2:10:19 time: 0.482 data_time: 0.060 memory: 7432 loss: 0.0336 2022/06/21 05:52:41 - mmengine - INFO - Iter(train) [184900/200000] lr: 5.600e-06 eta: 2:09:28 time: 0.485 data_time: 0.061 memory: 7431 loss: 0.0403 2022/06/21 05:53:31 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/21 05:53:31 - mmengine - INFO - Iter(train) [185000/200000] lr: 5.527e-06 eta: 2:08:36 time: 0.528 data_time: 0.059 memory: 7432 loss: 0.0315 2022/06/21 05:54:23 - mmengine - INFO - Iter(train) [185100/200000] lr: 5.454e-06 eta: 2:07:45 time: 0.550 data_time: 0.113 memory: 7430 loss: 0.0357 2022/06/21 05:55:13 - mmengine - INFO - Iter(train) [185200/200000] lr: 5.381e-06 eta: 2:06:53 time: 0.495 data_time: 0.054 memory: 7432 loss: 0.0333 2022/06/21 05:56:01 - mmengine - INFO - Iter(train) [185300/200000] lr: 5.309e-06 eta: 2:06:01 time: 0.474 data_time: 0.061 memory: 7432 loss: 0.0364 2022/06/21 05:56:50 - mmengine - INFO - Iter(train) [185400/200000] lr: 5.237e-06 eta: 2:05:10 time: 0.498 data_time: 0.065 memory: 7432 loss: 0.0383 2022/06/21 05:57:40 - mmengine - INFO - Iter(train) [185500/200000] lr: 5.166e-06 eta: 2:04:18 time: 0.486 data_time: 0.054 memory: 7433 loss: 0.0339 2022/06/21 05:58:31 - mmengine - INFO - Iter(train) [185600/200000] lr: 5.095e-06 eta: 2:03:27 time: 0.477 data_time: 0.056 memory: 7430 loss: 0.0329 2022/06/21 05:59:21 - mmengine - INFO - Iter(train) [185700/200000] lr: 5.025e-06 eta: 2:02:35 time: 0.506 data_time: 0.055 memory: 7431 loss: 0.0338 2022/06/21 06:00:10 - mmengine - INFO - Iter(train) [185800/200000] lr: 4.955e-06 eta: 2:01:43 time: 0.525 data_time: 0.059 memory: 7431 loss: 0.0348 2022/06/21 06:01:00 - mmengine - INFO - Iter(train) [185900/200000] lr: 4.886e-06 eta: 2:00:52 time: 0.471 data_time: 0.044 memory: 7431 loss: 0.0337 2022/06/21 06:01:49 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/21 06:01:49 - mmengine - INFO - Iter(train) [186000/200000] lr: 4.817e-06 eta: 2:00:00 time: 0.495 data_time: 0.054 memory: 7429 loss: 0.0371 2022/06/21 06:02:38 - mmengine - INFO - Iter(train) [186100/200000] lr: 4.749e-06 eta: 1:59:09 time: 0.494 data_time: 0.061 memory: 7432 loss: 0.0341 2022/06/21 06:03:27 - mmengine - INFO - Iter(train) [186200/200000] lr: 4.681e-06 eta: 1:58:17 time: 0.504 data_time: 0.055 memory: 7433 loss: 0.0396 2022/06/21 06:04:16 - mmengine - INFO - Iter(train) [186300/200000] lr: 4.614e-06 eta: 1:57:25 time: 0.468 data_time: 0.041 memory: 7431 loss: 0.0314 2022/06/21 06:05:07 - mmengine - INFO - Iter(train) [186400/200000] lr: 4.547e-06 eta: 1:56:34 time: 0.498 data_time: 0.072 memory: 7431 loss: 0.0348 2022/06/21 06:05:57 - mmengine - INFO - Iter(train) [186500/200000] lr: 4.481e-06 eta: 1:55:42 time: 0.493 data_time: 0.056 memory: 7433 loss: 0.0326 2022/06/21 06:06:48 - mmengine - INFO - Iter(train) [186600/200000] lr: 4.415e-06 eta: 1:54:51 time: 0.492 data_time: 0.073 memory: 7432 loss: 0.0371 2022/06/21 06:07:38 - mmengine - INFO - Iter(train) [186700/200000] lr: 4.349e-06 eta: 1:53:59 time: 0.482 data_time: 0.044 memory: 7431 loss: 0.0362 2022/06/21 06:08:26 - mmengine - INFO - Iter(train) [186800/200000] lr: 4.284e-06 eta: 1:53:08 time: 0.533 data_time: 0.066 memory: 7431 loss: 0.0345 2022/06/21 06:09:16 - mmengine - INFO - Iter(train) [186900/200000] lr: 4.220e-06 eta: 1:52:16 time: 0.480 data_time: 0.052 memory: 7432 loss: 0.0324 2022/06/21 06:10:07 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/21 06:10:07 - mmengine - INFO - Iter(train) [187000/200000] lr: 4.156e-06 eta: 1:51:25 time: 0.649 data_time: 0.224 memory: 7433 loss: 0.0348 2022/06/21 06:10:55 - mmengine - INFO - Iter(train) [187100/200000] lr: 4.093e-06 eta: 1:50:33 time: 0.482 data_time: 0.044 memory: 7431 loss: 0.0333 2022/06/21 06:11:45 - mmengine - INFO - Iter(train) [187200/200000] lr: 4.030e-06 eta: 1:49:41 time: 0.529 data_time: 0.054 memory: 7432 loss: 0.0360 2022/06/21 06:12:36 - mmengine - INFO - Iter(train) [187300/200000] lr: 3.967e-06 eta: 1:48:50 time: 0.483 data_time: 0.052 memory: 7431 loss: 0.0363 2022/06/21 06:13:26 - mmengine - INFO - Iter(train) [187400/200000] lr: 3.905e-06 eta: 1:47:58 time: 0.501 data_time: 0.071 memory: 7430 loss: 0.0402 2022/06/21 06:14:15 - mmengine - INFO - Iter(train) [187500/200000] lr: 3.844e-06 eta: 1:47:07 time: 0.512 data_time: 0.056 memory: 7431 loss: 0.0382 2022/06/21 06:15:06 - mmengine - INFO - Iter(train) [187600/200000] lr: 3.783e-06 eta: 1:46:15 time: 0.533 data_time: 0.073 memory: 7430 loss: 0.0343 2022/06/21 06:15:57 - mmengine - INFO - Iter(train) [187700/200000] lr: 3.722e-06 eta: 1:45:24 time: 0.508 data_time: 0.047 memory: 7432 loss: 0.0367 2022/06/21 06:16:45 - mmengine - INFO - Iter(train) [187800/200000] lr: 3.662e-06 eta: 1:44:32 time: 0.503 data_time: 0.063 memory: 7432 loss: 0.0337 2022/06/21 06:17:34 - mmengine - INFO - Iter(train) [187900/200000] lr: 3.602e-06 eta: 1:43:41 time: 0.505 data_time: 0.047 memory: 7434 loss: 0.0381 2022/06/21 06:18:22 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/21 06:18:22 - mmengine - INFO - Iter(train) [188000/200000] lr: 3.543e-06 eta: 1:42:49 time: 0.460 data_time: 0.049 memory: 7431 loss: 0.0341 2022/06/21 06:19:10 - mmengine - INFO - Iter(train) [188100/200000] lr: 3.485e-06 eta: 1:41:57 time: 0.508 data_time: 0.064 memory: 7429 loss: 0.0326 2022/06/21 06:19:58 - mmengine - INFO - Iter(train) [188200/200000] lr: 3.426e-06 eta: 1:41:06 time: 0.501 data_time: 0.060 memory: 7435 loss: 0.0355 2022/06/21 06:20:46 - mmengine - INFO - Iter(train) [188300/200000] lr: 3.369e-06 eta: 1:40:14 time: 0.472 data_time: 0.042 memory: 7431 loss: 0.0352 2022/06/21 06:21:34 - mmengine - INFO - Iter(train) [188400/200000] lr: 3.312e-06 eta: 1:39:23 time: 0.469 data_time: 0.056 memory: 7431 loss: 0.0350 2022/06/21 06:22:22 - mmengine - INFO - Iter(train) [188500/200000] lr: 3.255e-06 eta: 1:38:31 time: 0.487 data_time: 0.048 memory: 7431 loss: 0.0354 2022/06/21 06:23:10 - mmengine - INFO - Iter(train) [188600/200000] lr: 3.199e-06 eta: 1:37:39 time: 0.488 data_time: 0.066 memory: 7431 loss: 0.0343 2022/06/21 06:23:58 - mmengine - INFO - Iter(train) [188700/200000] lr: 3.143e-06 eta: 1:36:48 time: 0.469 data_time: 0.040 memory: 7430 loss: 0.0322 2022/06/21 06:24:47 - mmengine - INFO - Iter(train) [188800/200000] lr: 3.088e-06 eta: 1:35:56 time: 0.495 data_time: 0.054 memory: 7433 loss: 0.0340 2022/06/21 06:25:35 - mmengine - INFO - Iter(train) [188900/200000] lr: 3.033e-06 eta: 1:35:05 time: 0.481 data_time: 0.051 memory: 7431 loss: 0.0371 2022/06/21 06:26:22 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/21 06:26:22 - mmengine - INFO - Iter(train) [189000/200000] lr: 2.979e-06 eta: 1:34:13 time: 0.490 data_time: 0.059 memory: 7430 loss: 0.0384 2022/06/21 06:27:12 - mmengine - INFO - Iter(train) [189100/200000] lr: 2.925e-06 eta: 1:33:21 time: 0.471 data_time: 0.058 memory: 7430 loss: 0.0331 2022/06/21 06:28:00 - mmengine - INFO - Iter(train) [189200/200000] lr: 2.872e-06 eta: 1:32:30 time: 0.506 data_time: 0.063 memory: 7432 loss: 0.0398 2022/06/21 06:28:47 - mmengine - INFO - Iter(train) [189300/200000] lr: 2.819e-06 eta: 1:31:38 time: 0.485 data_time: 0.045 memory: 7430 loss: 0.0348 2022/06/21 06:29:35 - mmengine - INFO - Iter(train) [189400/200000] lr: 2.766e-06 eta: 1:30:47 time: 0.474 data_time: 0.046 memory: 7431 loss: 0.0402 2022/06/21 06:30:22 - mmengine - INFO - Iter(train) [189500/200000] lr: 2.715e-06 eta: 1:29:55 time: 0.478 data_time: 0.047 memory: 7432 loss: 0.0348 2022/06/21 06:31:10 - mmengine - INFO - Iter(train) [189600/200000] lr: 2.663e-06 eta: 1:29:03 time: 0.451 data_time: 0.036 memory: 7432 loss: 0.0321 2022/06/21 06:31:57 - mmengine - INFO - Iter(train) [189700/200000] lr: 2.612e-06 eta: 1:28:12 time: 0.461 data_time: 0.047 memory: 7432 loss: 0.0308 2022/06/21 06:32:44 - mmengine - INFO - Iter(train) [189800/200000] lr: 2.562e-06 eta: 1:27:20 time: 0.473 data_time: 0.052 memory: 7430 loss: 0.0330 2022/06/21 06:33:33 - mmengine - INFO - Iter(train) [189900/200000] lr: 2.512e-06 eta: 1:26:29 time: 0.493 data_time: 0.050 memory: 7430 loss: 0.0336 2022/06/21 06:34:22 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/21 06:34:22 - mmengine - INFO - Iter(train) [190000/200000] lr: 2.463e-06 eta: 1:25:37 time: 0.471 data_time: 0.045 memory: 7432 loss: 0.0366 2022/06/21 06:34:22 - mmengine - INFO - Saving checkpoint at 190000 iterations 2022/06/21 06:35:17 - mmengine - INFO - Iter(val) [100/250] eta: 0:01:15 time: 0.503 data_time: 0.028 memory: 2343 2022/06/21 06:36:04 - mmengine - INFO - Iter(val) [200/250] eta: 0:00:24 time: 0.481 data_time: 0.026 memory: 2001 2022/06/21 06:36:32 - mmengine - INFO - Iter(val) [250/250] SAD: 35.4357 MattingMSE: 0.0084 GradientError: 17.0516 ConnectivityError: 33.0691 2022/06/21 06:37:19 - mmengine - INFO - Iter(train) [190100/200000] lr: 2.414e-06 eta: 1:24:46 time: 0.463 data_time: 0.050 memory: 7433 loss: 0.0350 2022/06/21 06:38:07 - mmengine - INFO - Iter(train) [190200/200000] lr: 2.365e-06 eta: 1:23:54 time: 0.470 data_time: 0.054 memory: 7433 loss: 0.0342 2022/06/21 06:38:55 - mmengine - INFO - Iter(train) [190300/200000] lr: 2.318e-06 eta: 1:23:02 time: 0.458 data_time: 0.044 memory: 7430 loss: 0.0320 2022/06/21 06:39:42 - mmengine - INFO - Iter(train) [190400/200000] lr: 2.270e-06 eta: 1:22:11 time: 0.460 data_time: 0.047 memory: 7432 loss: 0.0393 2022/06/21 06:40:29 - mmengine - INFO - Iter(train) [190500/200000] lr: 2.223e-06 eta: 1:21:19 time: 0.483 data_time: 0.067 memory: 7432 loss: 0.0312 2022/06/21 06:41:17 - mmengine - INFO - Iter(train) [190600/200000] lr: 2.177e-06 eta: 1:20:28 time: 0.488 data_time: 0.055 memory: 7432 loss: 0.0335 2022/06/21 06:42:06 - mmengine - INFO - Iter(train) [190700/200000] lr: 2.131e-06 eta: 1:19:36 time: 0.603 data_time: 0.169 memory: 7432 loss: 0.0349 2022/06/21 06:42:53 - mmengine - INFO - Iter(train) [190800/200000] lr: 2.085e-06 eta: 1:18:45 time: 0.464 data_time: 0.052 memory: 7431 loss: 0.0304 2022/06/21 06:43:41 - mmengine - INFO - Iter(train) [190900/200000] lr: 2.040e-06 eta: 1:17:53 time: 0.471 data_time: 0.046 memory: 7434 loss: 0.0306 2022/06/21 06:44:28 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/21 06:44:28 - mmengine - INFO - Iter(train) [191000/200000] lr: 1.996e-06 eta: 1:17:02 time: 0.481 data_time: 0.054 memory: 7430 loss: 0.0341 2022/06/21 06:45:16 - mmengine - INFO - Iter(train) [191100/200000] lr: 1.952e-06 eta: 1:16:10 time: 0.461 data_time: 0.053 memory: 7431 loss: 0.0351 2022/06/21 06:46:03 - mmengine - INFO - Iter(train) [191200/200000] lr: 1.908e-06 eta: 1:15:19 time: 0.458 data_time: 0.041 memory: 7432 loss: 0.0337 2022/06/21 06:46:50 - mmengine - INFO - Iter(train) [191300/200000] lr: 1.865e-06 eta: 1:14:27 time: 0.469 data_time: 0.035 memory: 7431 loss: 0.0391 2022/06/21 06:47:38 - mmengine - INFO - Iter(train) [191400/200000] lr: 1.823e-06 eta: 1:13:35 time: 0.446 data_time: 0.039 memory: 7432 loss: 0.0324 2022/06/21 06:48:26 - mmengine - INFO - Iter(train) [191500/200000] lr: 1.780e-06 eta: 1:12:44 time: 0.456 data_time: 0.051 memory: 7436 loss: 0.0352 2022/06/21 06:49:14 - mmengine - INFO - Iter(train) [191600/200000] lr: 1.739e-06 eta: 1:11:52 time: 0.492 data_time: 0.044 memory: 7431 loss: 0.0332 2022/06/21 06:50:01 - mmengine - INFO - Iter(train) [191700/200000] lr: 1.698e-06 eta: 1:11:01 time: 0.466 data_time: 0.055 memory: 7432 loss: 0.0344 2022/06/21 06:50:49 - mmengine - INFO - Iter(train) [191800/200000] lr: 1.657e-06 eta: 1:10:09 time: 0.474 data_time: 0.042 memory: 7434 loss: 0.0335 2022/06/21 06:51:36 - mmengine - INFO - Iter(train) [191900/200000] lr: 1.617e-06 eta: 1:09:18 time: 0.480 data_time: 0.049 memory: 7431 loss: 0.0316 2022/06/21 06:52:23 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/21 06:52:23 - mmengine - INFO - Iter(train) [192000/200000] lr: 1.577e-06 eta: 1:08:26 time: 0.487 data_time: 0.058 memory: 7431 loss: 0.0350 2022/06/21 06:53:10 - mmengine - INFO - Iter(train) [192100/200000] lr: 1.538e-06 eta: 1:07:35 time: 0.460 data_time: 0.046 memory: 7432 loss: 0.0394 2022/06/21 06:53:59 - mmengine - INFO - Iter(train) [192200/200000] lr: 1.500e-06 eta: 1:06:43 time: 0.462 data_time: 0.041 memory: 7432 loss: 0.0326 2022/06/21 06:54:46 - mmengine - INFO - Iter(train) [192300/200000] lr: 1.462e-06 eta: 1:05:52 time: 0.461 data_time: 0.049 memory: 7431 loss: 0.0281 2022/06/21 06:55:35 - mmengine - INFO - Iter(train) [192400/200000] lr: 1.424e-06 eta: 1:05:00 time: 0.509 data_time: 0.070 memory: 7431 loss: 0.0345 2022/06/21 06:56:22 - mmengine - INFO - Iter(train) [192500/200000] lr: 1.387e-06 eta: 1:04:09 time: 0.459 data_time: 0.046 memory: 7431 loss: 0.0341 2022/06/21 06:57:09 - mmengine - INFO - Iter(train) [192600/200000] lr: 1.350e-06 eta: 1:03:18 time: 0.474 data_time: 0.045 memory: 7432 loss: 0.0338 2022/06/21 06:57:57 - mmengine - INFO - Iter(train) [192700/200000] lr: 1.314e-06 eta: 1:02:26 time: 0.468 data_time: 0.053 memory: 7434 loss: 0.0347 2022/06/21 06:58:46 - mmengine - INFO - Iter(train) [192800/200000] lr: 1.278e-06 eta: 1:01:35 time: 0.447 data_time: 0.041 memory: 7433 loss: 0.0358 2022/06/21 06:59:33 - mmengine - INFO - Iter(train) [192900/200000] lr: 1.243e-06 eta: 1:00:43 time: 0.488 data_time: 0.059 memory: 7431 loss: 0.0373 2022/06/21 07:00:21 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/21 07:00:21 - mmengine - INFO - Iter(train) [193000/200000] lr: 1.208e-06 eta: 0:59:52 time: 0.457 data_time: 0.056 memory: 7433 loss: 0.0346 2022/06/21 07:01:08 - mmengine - INFO - Iter(train) [193100/200000] lr: 1.174e-06 eta: 0:59:00 time: 0.480 data_time: 0.051 memory: 7431 loss: 0.0347 2022/06/21 07:01:55 - mmengine - INFO - Iter(train) [193200/200000] lr: 1.140e-06 eta: 0:58:09 time: 0.476 data_time: 0.059 memory: 7431 loss: 0.0352 2022/06/21 07:02:43 - mmengine - INFO - Iter(train) [193300/200000] lr: 1.107e-06 eta: 0:57:17 time: 0.471 data_time: 0.042 memory: 7434 loss: 0.0345 2022/06/21 07:03:31 - mmengine - INFO - Iter(train) [193400/200000] lr: 1.074e-06 eta: 0:56:26 time: 0.483 data_time: 0.049 memory: 7432 loss: 0.0325 2022/06/21 07:04:19 - mmengine - INFO - Iter(train) [193500/200000] lr: 1.042e-06 eta: 0:55:34 time: 0.451 data_time: 0.045 memory: 7431 loss: 0.0352 2022/06/21 07:05:06 - mmengine - INFO - Iter(train) [193600/200000] lr: 1.010e-06 eta: 0:54:43 time: 0.472 data_time: 0.055 memory: 7432 loss: 0.0387 2022/06/21 07:05:53 - mmengine - INFO - Iter(train) [193700/200000] lr: 9.788e-07 eta: 0:53:52 time: 0.476 data_time: 0.043 memory: 7431 loss: 0.0328 2022/06/21 07:06:40 - mmengine - INFO - Iter(train) [193800/200000] lr: 9.480e-07 eta: 0:53:00 time: 0.448 data_time: 0.046 memory: 7431 loss: 0.0360 2022/06/21 07:07:27 - mmengine - INFO - Iter(train) [193900/200000] lr: 9.177e-07 eta: 0:52:09 time: 0.463 data_time: 0.052 memory: 7430 loss: 0.0347 2022/06/21 07:08:15 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/21 07:08:15 - mmengine - INFO - Iter(train) [194000/200000] lr: 8.879e-07 eta: 0:51:17 time: 0.466 data_time: 0.053 memory: 7433 loss: 0.0307 2022/06/21 07:09:02 - mmengine - INFO - Iter(train) [194100/200000] lr: 8.586e-07 eta: 0:50:26 time: 0.483 data_time: 0.049 memory: 7431 loss: 0.0363 2022/06/21 07:09:53 - mmengine - INFO - Iter(train) [194200/200000] lr: 8.297e-07 eta: 0:49:35 time: 0.495 data_time: 0.061 memory: 7435 loss: 0.0341 2022/06/21 07:10:42 - mmengine - INFO - Iter(train) [194300/200000] lr: 8.014e-07 eta: 0:48:43 time: 0.480 data_time: 0.064 memory: 7431 loss: 0.0351 2022/06/21 07:11:30 - mmengine - INFO - Iter(train) [194400/200000] lr: 7.736e-07 eta: 0:47:52 time: 0.463 data_time: 0.036 memory: 7432 loss: 0.0330 2022/06/21 07:12:18 - mmengine - INFO - Iter(train) [194500/200000] lr: 7.462e-07 eta: 0:47:00 time: 0.509 data_time: 0.054 memory: 7431 loss: 0.0358 2022/06/21 07:13:05 - mmengine - INFO - Iter(train) [194600/200000] lr: 7.193e-07 eta: 0:46:09 time: 0.468 data_time: 0.057 memory: 7432 loss: 0.0384 2022/06/21 07:13:52 - mmengine - INFO - Iter(train) [194700/200000] lr: 6.930e-07 eta: 0:45:18 time: 0.483 data_time: 0.054 memory: 7431 loss: 0.0406 2022/06/21 07:14:40 - mmengine - INFO - Iter(train) [194800/200000] lr: 6.671e-07 eta: 0:44:26 time: 0.485 data_time: 0.062 memory: 7431 loss: 0.0378 2022/06/21 07:15:26 - mmengine - INFO - Iter(train) [194900/200000] lr: 6.417e-07 eta: 0:43:35 time: 0.485 data_time: 0.044 memory: 7432 loss: 0.0347 2022/06/21 07:16:14 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/21 07:16:14 - mmengine - INFO - Iter(train) [195000/200000] lr: 6.168e-07 eta: 0:42:43 time: 0.499 data_time: 0.047 memory: 7431 loss: 0.0361 2022/06/21 07:17:02 - mmengine - INFO - Iter(train) [195100/200000] lr: 5.924e-07 eta: 0:41:52 time: 0.486 data_time: 0.047 memory: 7432 loss: 0.0377 2022/06/21 07:17:49 - mmengine - INFO - Iter(train) [195200/200000] lr: 5.685e-07 eta: 0:41:01 time: 0.485 data_time: 0.049 memory: 7432 loss: 0.0327 2022/06/21 07:18:37 - mmengine - INFO - Iter(train) [195300/200000] lr: 5.450e-07 eta: 0:40:09 time: 0.468 data_time: 0.065 memory: 7431 loss: 0.0362 2022/06/21 07:19:24 - mmengine - INFO - Iter(train) [195400/200000] lr: 5.221e-07 eta: 0:39:18 time: 0.484 data_time: 0.052 memory: 7430 loss: 0.0329 2022/06/21 07:20:11 - mmengine - INFO - Iter(train) [195500/200000] lr: 4.997e-07 eta: 0:38:27 time: 0.489 data_time: 0.054 memory: 7433 loss: 0.0326 2022/06/21 07:20:58 - mmengine - INFO - Iter(train) [195600/200000] lr: 4.777e-07 eta: 0:37:35 time: 0.462 data_time: 0.050 memory: 7433 loss: 0.0324 2022/06/21 07:21:46 - mmengine - INFO - Iter(train) [195700/200000] lr: 4.563e-07 eta: 0:36:44 time: 0.477 data_time: 0.047 memory: 7431 loss: 0.0338 2022/06/21 07:22:35 - mmengine - INFO - Iter(train) [195800/200000] lr: 4.353e-07 eta: 0:35:53 time: 0.471 data_time: 0.057 memory: 7430 loss: 0.0361 2022/06/21 07:23:22 - mmengine - INFO - Iter(train) [195900/200000] lr: 4.148e-07 eta: 0:35:01 time: 0.491 data_time: 0.049 memory: 7431 loss: 0.0330 2022/06/21 07:24:10 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/21 07:24:10 - mmengine - INFO - Iter(train) [196000/200000] lr: 3.949e-07 eta: 0:34:10 time: 0.479 data_time: 0.047 memory: 7437 loss: 0.0387 2022/06/21 07:24:58 - mmengine - INFO - Iter(train) [196100/200000] lr: 3.754e-07 eta: 0:33:19 time: 0.499 data_time: 0.055 memory: 7434 loss: 0.0372 2022/06/21 07:25:46 - mmengine - INFO - Iter(train) [196200/200000] lr: 3.564e-07 eta: 0:32:27 time: 0.519 data_time: 0.048 memory: 7431 loss: 0.0340 2022/06/21 07:26:32 - mmengine - INFO - Iter(train) [196300/200000] lr: 3.379e-07 eta: 0:31:36 time: 0.459 data_time: 0.044 memory: 7432 loss: 0.0324 2022/06/21 07:27:20 - mmengine - INFO - Iter(train) [196400/200000] lr: 3.199e-07 eta: 0:30:45 time: 0.485 data_time: 0.054 memory: 7433 loss: 0.0323 2022/06/21 07:28:08 - mmengine - INFO - Iter(train) [196500/200000] lr: 3.024e-07 eta: 0:29:53 time: 0.471 data_time: 0.051 memory: 7431 loss: 0.0340 2022/06/21 07:28:55 - mmengine - INFO - Iter(train) [196600/200000] lr: 2.853e-07 eta: 0:29:02 time: 0.473 data_time: 0.045 memory: 7431 loss: 0.0359 2022/06/21 07:29:43 - mmengine - INFO - Iter(train) [196700/200000] lr: 2.688e-07 eta: 0:28:11 time: 0.494 data_time: 0.059 memory: 7431 loss: 0.0370 2022/06/21 07:30:30 - mmengine - INFO - Iter(train) [196800/200000] lr: 2.528e-07 eta: 0:27:19 time: 0.459 data_time: 0.048 memory: 7431 loss: 0.0319 2022/06/21 07:31:17 - mmengine - INFO - Iter(train) [196900/200000] lr: 2.372e-07 eta: 0:26:28 time: 0.465 data_time: 0.043 memory: 7432 loss: 0.0343 2022/06/21 07:32:05 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/21 07:32:05 - mmengine - INFO - Iter(train) [197000/200000] lr: 2.222e-07 eta: 0:25:37 time: 0.460 data_time: 0.045 memory: 7432 loss: 0.0360 2022/06/21 07:32:52 - mmengine - INFO - Iter(train) [197100/200000] lr: 2.076e-07 eta: 0:24:45 time: 0.464 data_time: 0.043 memory: 7431 loss: 0.0335 2022/06/21 07:33:39 - mmengine - INFO - Iter(train) [197200/200000] lr: 1.936e-07 eta: 0:23:54 time: 0.458 data_time: 0.049 memory: 7431 loss: 0.0351 2022/06/21 07:34:27 - mmengine - INFO - Iter(train) [197300/200000] lr: 1.800e-07 eta: 0:23:03 time: 0.492 data_time: 0.069 memory: 7430 loss: 0.0345 2022/06/21 07:35:15 - mmengine - INFO - Iter(train) [197400/200000] lr: 1.669e-07 eta: 0:22:12 time: 0.460 data_time: 0.053 memory: 7433 loss: 0.0391 2022/06/21 07:36:02 - mmengine - INFO - Iter(train) [197500/200000] lr: 1.543e-07 eta: 0:21:20 time: 0.463 data_time: 0.046 memory: 7433 loss: 0.0350 2022/06/21 07:36:50 - mmengine - INFO - Iter(train) [197600/200000] lr: 1.422e-07 eta: 0:20:29 time: 0.462 data_time: 0.057 memory: 7432 loss: 0.0354 2022/06/21 07:37:41 - mmengine - INFO - Iter(train) [197700/200000] lr: 1.306e-07 eta: 0:19:38 time: 0.499 data_time: 0.047 memory: 7431 loss: 0.0337 2022/06/21 07:38:29 - mmengine - INFO - Iter(train) [197800/200000] lr: 1.195e-07 eta: 0:18:46 time: 0.464 data_time: 0.050 memory: 7430 loss: 0.0319 2022/06/21 07:39:17 - mmengine - INFO - Iter(train) [197900/200000] lr: 1.089e-07 eta: 0:17:55 time: 0.453 data_time: 0.038 memory: 7431 loss: 0.0387 2022/06/21 07:40:03 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/21 07:40:03 - mmengine - INFO - Iter(train) [198000/200000] lr: 9.879e-08 eta: 0:17:04 time: 0.444 data_time: 0.041 memory: 7435 loss: 0.0320 2022/06/21 07:40:50 - mmengine - INFO - Iter(train) [198100/200000] lr: 8.916e-08 eta: 0:16:13 time: 0.455 data_time: 0.049 memory: 7430 loss: 0.0365 2022/06/21 07:41:37 - mmengine - INFO - Iter(train) [198200/200000] lr: 8.003e-08 eta: 0:15:21 time: 0.486 data_time: 0.039 memory: 7434 loss: 0.0348 2022/06/21 07:42:24 - mmengine - INFO - Iter(train) [198300/200000] lr: 7.139e-08 eta: 0:14:30 time: 0.478 data_time: 0.048 memory: 7432 loss: 0.0370 2022/06/21 07:43:14 - mmengine - INFO - Iter(train) [198400/200000] lr: 6.324e-08 eta: 0:13:39 time: 0.460 data_time: 0.049 memory: 7432 loss: 0.0323 2022/06/21 07:44:01 - mmengine - INFO - Iter(train) [198500/200000] lr: 5.559e-08 eta: 0:12:48 time: 0.451 data_time: 0.047 memory: 7434 loss: 0.0339 2022/06/21 07:44:49 - mmengine - INFO - Iter(train) [198600/200000] lr: 4.843e-08 eta: 0:11:56 time: 0.467 data_time: 0.050 memory: 7432 loss: 0.0380 2022/06/21 07:45:35 - mmengine - INFO - Iter(train) [198700/200000] lr: 4.176e-08 eta: 0:11:05 time: 0.468 data_time: 0.050 memory: 7431 loss: 0.0325 2022/06/21 07:46:23 - mmengine - INFO - Iter(train) [198800/200000] lr: 3.559e-08 eta: 0:10:14 time: 0.484 data_time: 0.049 memory: 7432 loss: 0.0327 2022/06/21 07:47:11 - mmengine - INFO - Iter(train) [198900/200000] lr: 2.991e-08 eta: 0:09:23 time: 0.469 data_time: 0.041 memory: 7432 loss: 0.0333 2022/06/21 07:47:58 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/21 07:47:58 - mmengine - INFO - Iter(train) [199000/200000] lr: 2.472e-08 eta: 0:08:32 time: 0.452 data_time: 0.038 memory: 7431 loss: 0.0315 2022/06/21 07:48:48 - mmengine - INFO - Iter(train) [199100/200000] lr: 2.003e-08 eta: 0:07:40 time: 0.468 data_time: 0.060 memory: 7435 loss: 0.0356 2022/06/21 07:49:36 - mmengine - INFO - Iter(train) [199200/200000] lr: 1.583e-08 eta: 0:06:49 time: 0.477 data_time: 0.043 memory: 7435 loss: 0.0385 2022/06/21 07:50:25 - mmengine - INFO - Iter(train) [199300/200000] lr: 1.212e-08 eta: 0:05:58 time: 0.447 data_time: 0.049 memory: 7430 loss: 0.0357 2022/06/21 07:51:13 - mmengine - INFO - Iter(train) [199400/200000] lr: 8.912e-09 eta: 0:05:07 time: 0.481 data_time: 0.041 memory: 7430 loss: 0.0362 2022/06/21 07:52:00 - mmengine - INFO - Iter(train) [199500/200000] lr: 6.193e-09 eta: 0:04:15 time: 0.450 data_time: 0.043 memory: 7431 loss: 0.0332 2022/06/21 07:52:48 - mmengine - INFO - Iter(train) [199600/200000] lr: 3.968e-09 eta: 0:03:24 time: 0.470 data_time: 0.042 memory: 7432 loss: 0.0329 2022/06/21 07:53:35 - mmengine - INFO - Iter(train) [199700/200000] lr: 2.235e-09 eta: 0:02:33 time: 0.479 data_time: 0.053 memory: 7430 loss: 0.0342 2022/06/21 07:54:23 - mmengine - INFO - Iter(train) [199800/200000] lr: 9.969e-10 eta: 0:01:42 time: 0.476 data_time: 0.051 memory: 7431 loss: 0.0284 2022/06/21 07:55:10 - mmengine - INFO - Iter(train) [199900/200000] lr: 2.517e-10 eta: 0:00:51 time: 0.458 data_time: 0.045 memory: 7431 loss: 0.0339 2022/06/21 07:55:57 - mmengine - INFO - Exp name: baseline_r34_4x10_200k_comp1k_20220620_024430 2022/06/21 07:55:57 - mmengine - INFO - Iter(train) [200000/200000] lr: 2.467e-14 eta: 0:00:00 time: 0.467 data_time: 0.045 memory: 7430 loss: 0.0374 2022/06/21 07:55:58 - mmengine - INFO - Saving checkpoint at 200000 iterations 2022/06/21 07:56:53 - mmengine - INFO - Iter(val) [100/250] eta: 0:01:16 time: 0.508 data_time: 0.027 memory: 2343 2022/06/21 07:57:40 - mmengine - INFO - Iter(val) [200/250] eta: 0:00:24 time: 0.484 data_time: 0.028 memory: 1999 2022/06/21 07:58:08 - mmengine - INFO - Iter(val) [250/250] SAD: 34.9515 MattingMSE: 0.0083 GradientError: 16.5984 ConnectivityError: 32.5023 2022/06/21 07:58:08 - mmengine - INFO - Log saved under /mnt/lustre/wangruohui/valid_exp/baseline_r34/20220620_024430 2022/06/21 07:58:08 - mmengine - INFO - Checkpoint saved under /mnt/lustre/wangruohui/valid_exp/baseline_r34