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Description: Pytorch 1.4 MKLDNN errors
Submitted on January 27, 2020 at 03:29 PM

Download - Report

mkldnn_errors.log (Text)

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align_MKLDNN.py 
Loading pretrained model from ./weights/mobilenet0.25_Final.pth
remove prefix 'module.'
Traceback (most recent call last):
  File "/home/user/.vscode-server/extensions/ms-python.python-2020.1.58038/pythonFiles/ptvsd_launcher.py", line 43, in <module>
    main(ptvsdArgs)
  File "/home/user/.vscode-server/extensions/ms-python.python-2020.1.58038/pythonFiles/lib/python/old_ptvsd/ptvsd/__main__.py", line 432, in main
    run()
  File "/home/user/.vscode-server/extensions/ms-python.python-2020.1.58038/pythonFiles/lib/python/old_ptvsd/ptvsd/__main__.py", line 316, in run_file
    runpy.run_path(target, run_name='__main__')
  File "/home/user/anaconda3/lib/python3.7/runpy.py", line 263, in run_path
    pkg_name=pkg_name, script_name=fname)
  File "/home/user/anaconda3/lib/python3.7/runpy.py", line 96, in _run_module_code
    mod_name, mod_spec, pkg_name, script_name)
  File "/home/user/anaconda3/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "/mnt/d/Codes/Pytorch_Retinaface_MKLDN/test_detect_align_MKLDNN.py", line 318, in <module>
    model_weights=model.weight )
  File "/mnt/d/Codes/Pytorch_Retinaface_MKLDN/test_detect_align_MKLDNN.py", line 87, in detect
    net = load_model(net, trained_model, cpu)
  File "/mnt/d/Codes/Pytorch_Retinaface_MKLDN/test_detect_align_MKLDNN.py", line 60, in load_model
    model.load_state_dict(pretrained_dict, strict=False)
  File "/home/user/anaconda3/lib/python3.7/site-packages/torch/nn/modules/module.py", line 830, in load_state_dict
    self.__class__.__name__, "\n\t".join(error_msgs)))
RuntimeError: Error(s) in loading state_dict for RetinaFace:
        While copying the parameter named "body.stage1.0.0.weight", whose dimensions in the model are torch.Size([8, 3, 3, 3]) and whose dimensions in the checkpoint are torch.Size([8, 3, 3, 3]).
        While copying the parameter named "body.stage1.0.1.running_var", whose dimensions in the model are torch.Size([8]) and whose dimensions in the checkpoint are torch.Size([8]).
        While copying the parameter named "body.stage1.0.1.running_mean", whose dimensions in the model are torch.Size([8]) and whose dimensions in the checkpoint are torch.Size([8]).
        While copying the parameter named "body.stage1.0.1.weight", whose dimensions in the model are torch.Size([8]) and whose dimensions in the checkpoint are torch.Size([8]).
        While copying the parameter named "body.stage1.0.1.bias", whose dimensions in the model are torch.Size([8]) and whose dimensions in the checkpoint are torch.Size([8]).
        While copying the parameter named "body.stage1.1.0.weight", whose dimensions in the model are torch.Size([8, 1, 3, 3]) and whose dimensions in the checkpoint are torch.Size([8, 1, 3, 3]).
        While copying the parameter named "body.stage1.1.1.running_var", whose dimensions in the model are torch.Size([8]) and whose dimensions in the checkpoint are torch.Size([8]).
        While copying the parameter named "body.stage1.1.1.running_mean", whose dimensions in the model are torch.Size([8]) and whose dimensions in the checkpoint are torch.Size([8]).
        While copying the parameter named "body.stage1.1.1.weight", whose dimensions in the model are torch.Size([8]) and whose dimensions in the checkpoint are torch.Size([8]).
        While copying the parameter named "body.stage1.1.1.bias", whose dimensions in the model are torch.Size([8]) and whose dimensions in the checkpoint are torch.Size([8]).
        While copying the parameter named "body.stage1.1.3.weight", whose dimensions in the model are torch.Size([16, 8, 1, 1]) and whose dimensions in the checkpoint are torch.Size([16, 8, 1, 1]).
        While copying the parameter named "body.stage1.1.4.running_var", whose dimensions in the model are torch.Size([16]) and whose dimensions in the checkpoint are torch.Size([16]).
        While copying the parameter named "body.stage1.1.4.running_mean", whose dimensions in the model are torch.Size([16]) and whose dimensions in the checkpoint are torch.Size([16]).
        While copying the parameter named "body.stage1.1.4.weight", whose dimensions in the model are torch.Size([16]) and whose dimensions in the checkpoint are torch.Size([16]).
        While copying the parameter named "body.stage1.1.4.bias", whose dimensions in the model are torch.Size([16]) and whose dimensions in the checkpoint are torch.Size([16]).
        While copying the parameter named "body.stage1.2.0.weight", whose dimensions in the model are torch.Size([16, 1, 3, 3]) and whose dimensions in the checkpoint are torch.Size([16, 1, 3, 3]).
        While copying the parameter named "body.stage1.2.1.running_var", whose dimensions in the model are torch.Size([16]) and whose dimensions in the checkpoint are torch.Size([16]).
        While copying the parameter named "body.stage1.2.1.running_mean", whose dimensions in the model are torch.Size([16]) and whose dimensions in the checkpoint are torch.Size([16]).
        While copying the parameter named "body.stage1.2.1.weight", whose dimensions in the model are torch.Size([16]) and whose dimensions in the checkpoint are torch.Size([16]).
        While copying the parameter named "body.stage1.2.1.bias", whose dimensions in the model are torch.Size([16]) and whose dimensions in the checkpoint are torch.Size([16]).
        While copying the parameter named "body.stage1.2.3.weight", whose dimensions in the model are torch.Size([32, 16, 1, 1]) and whose dimensions in the checkpoint are torch.Size([32, 16, 1, 1]).
        While copying the parameter named "body.stage1.2.4.running_var", whose dimensions in the model are torch.Size([32]) and whose dimensions in the checkpoint are torch.Size([32]).
        While copying the parameter named "body.stage1.2.4.running_mean", whose dimensions in the model are torch.Size([32]) and whose dimensions in the checkpoint are torch.Size([32]).
        While copying the parameter named "body.stage1.2.4.weight", whose dimensions in the model are torch.Size([32]) and whose dimensions in the checkpoint are torch.Size([32]).
        While copying the parameter named "body.stage1.2.4.bias", whose dimensions in the model are torch.Size([32]) and whose dimensions in the checkpoint are torch.Size([32]).
        While copying the parameter named "body.stage1.3.0.weight", whose dimensions in the model are torch.Size([32, 1, 3, 3]) and whose dimensions in the checkpoint are torch.Size([32, 1, 3, 3]).
        While copying the parameter named "body.stage1.3.1.running_var", whose dimensions in the model are torch.Size([32]) and whose dimensions in the checkpoint are torch.Size([32]).
        While copying the parameter named "body.stage1.3.1.running_mean", whose dimensions in the model are torch.Size([32]) and whose dimensions in the checkpoint are torch.Size([32]).
        While copying the parameter named "body.stage1.3.1.weight", whose dimensions in the model are torch.Size([32]) and whose dimensions in the checkpoint are torch.Size([32]).
        While copying the parameter named "body.stage1.3.1.bias", whose dimensions in the model are torch.Size([32]) and whose dimensions in the checkpoint are torch.Size([32]).
        While copying the parameter named "body.stage1.3.3.weight", whose dimensions in the model are torch.Size([32, 32, 1, 1]) and whose dimensions in the checkpoint are torch.Size([32, 32, 1, 1]).
        While copying the parameter named "body.stage1.3.4.running_var", whose dimensions in the model are torch.Size([32]) and whose dimensions in the checkpoint are torch.Size([32]).
        While copying the parameter named "body.stage1.3.4.running_mean", whose dimensions in the model are torch.Size([32]) and whose dimensions in the checkpoint are torch.Size([32]).
        While copying the parameter named "body.stage1.3.4.weight", whose dimensions in the model are torch.Size([32]) and whose dimensions in the checkpoint are torch.Size([32]).
        While copying the parameter named "body.stage1.3.4.bias", whose dimensions in the model are torch.Size([32]) and whose dimensions in the checkpoint are torch.Size([32]).
        While copying the parameter named "body.stage1.4.0.weight", whose dimensions in the model are torch.Size([32, 1, 3, 3]) and whose dimensions in the checkpoint are torch.Size([32, 1, 3, 3]).
        While copying the parameter named "body.stage1.4.1.running_var", whose dimensions in the model are torch.Size([32]) and whose dimensions in the checkpoint are torch.Size([32]).
        While copying the parameter named "body.stage1.4.1.running_mean", whose dimensions in the model are torch.Size([32]) and whose dimensions in the checkpoint are torch.Size([32]).
        While copying the parameter named "body.stage1.4.1.weight", whose dimensions in the model are torch.Size([32]) and whose dimensions in the checkpoint are torch.Size([32]).
        While copying the parameter named "body.stage1.4.1.bias", whose dimensions in the model are torch.Size([32]) and whose dimensions in the checkpoint are torch.Size([32]).
        While copying the parameter named "body.stage1.4.3.weight", whose dimensions in the model are torch.Size([64, 32, 1, 1]) and whose dimensions in the checkpoint are torch.Size([64, 32, 1, 1]).
        While copying the parameter named "body.stage1.4.4.running_var", whose dimensions in the model are torch.Size([64]) and whose dimensions in the checkpoint are torch.Size([64]).
        While copying the parameter named "body.stage1.4.4.running_mean", whose dimensions in the model are torch.Size([64]) and whose dimensions in the checkpoint are torch.Size([64]).
        While copying the parameter named "body.stage1.4.4.weight", whose dimensions in the model are torch.Size([64]) and whose dimensions in the checkpoint are torch.Size([64]).
        While copying the parameter named "body.stage1.4.4.bias", whose dimensions in the model are torch.Size([64]) and whose dimensions in the checkpoint are torch.Size([64]).
        While copying the parameter named "body.stage1.5.0.weight", whose dimensions in the model are torch.Size([64, 1, 3, 3]) and whose dimensions in the checkpoint are torch.Size([64, 1, 3, 3]).
        While copying the parameter named "body.stage1.5.1.running_var", whose dimensions in the model are torch.Size([64]) and whose dimensions in the checkpoint are torch.Size([64]).
        While copying the parameter named "body.stage1.5.1.running_mean", whose dimensions in the model are torch.Size([64]) and whose dimensions in the checkpoint are torch.Size([64]).
        While copying the parameter named "body.stage1.5.1.weight", whose dimensions in the model are torch.Size([64]) and whose dimensions in the checkpoint are torch.Size([64]).
        While copying the parameter named "body.stage1.5.1.bias", whose dimensions in the model are torch.Size([64]) and whose dimensions in the checkpoint are torch.Size([64]).
        While copying the parameter named "body.stage1.5.3.weight", whose dimensions in the model are torch.Size([64, 64, 1, 1]) and whose dimensions in the checkpoint are torch.Size([64, 64, 1, 1]).
        While copying the parameter named "body.stage1.5.4.running_var", whose dimensions in the model are torch.Size([64]) and whose dimensions in the checkpoint are torch.Size([64]).
        While copying the parameter named "body.stage1.5.4.running_mean", whose dimensions in the model are torch.Size([64]) and whose dimensions in the checkpoint are torch.Size([64]).
        While copying the parameter named "body.stage1.5.4.weight", whose dimensions in the model are torch.Size([64]) and whose dimensions in the checkpoint are torch.Size([64]).
        While copying the parameter named "body.stage1.5.4.bias", whose dimensions in the model are torch.Size([64]) and whose dimensions in the checkpoint are torch.Size([64]).
        While copying the parameter named "body.stage2.0.0.weight", whose dimensions in the model are torch.Size([64, 1, 3, 3]) and whose dimensions in the checkpoint are torch.Size([64, 1, 3, 3]).
        While copying the parameter named "body.stage2.0.1.running_var", whose dimensions in the model are torch.Size([64]) and whose dimensions in the checkpoint are torch.Size([64]).
        While copying the parameter named "body.stage2.0.1.running_mean", whose dimensions in the model are torch.Size([64]) and whose dimensions in the checkpoint are torch.Size([64]).
        While copying the parameter named "body.stage2.0.1.weight", whose dimensions in the model are torch.Size([64]) and whose dimensions in the checkpoint are torch.Size([64]).
        While copying the parameter named "body.stage2.0.1.bias", whose dimensions in the model are torch.Size([64]) and whose dimensions in the checkpoint are torch.Size([64]).
        While copying the parameter named "body.stage2.0.3.weight", whose dimensions in the model are torch.Size([128, 64, 1, 1]) and whose dimensions in the checkpoint are torch.Size([128, 64, 1, 1]).
        While copying the parameter named "body.stage2.0.4.running_var", whose dimensions in the model are torch.Size([128]) and whose dimensions in the checkpoint are torch.Size([128]).
        While copying the parameter named "body.stage2.0.4.running_mean", whose dimensions in the model are torch.Size([128]) and whose dimensions in the checkpoint are torch.Size([128]).
        While copying the parameter named "body.stage2.0.4.weight", whose dimensions in the model are torch.Size([128]) and whose dimensions in the checkpoint are torch.Size([128]).
        While copying the parameter named "body.stage2.0.4.bias", whose dimensions in the model are torch.Size([128]) and whose dimensions in the checkpoint are torch.Size([128]).
        While copying the parameter named "body.stage2.1.0.weight", whose dimensions in the model are torch.Size([128, 1, 3, 3]) and whose dimensions in the checkpoint are torch.Size([128, 1, 3, 3]).
        While copying the parameter named "body.stage2.1.1.running_var", whose dimensions in the model are torch.Size([128]) and whose dimensions in the checkpoint are torch.Size([128]).
        While copying the parameter named "body.stage2.1.1.running_mean", whose dimensions in the model are torch.Size([128]) and whose dimensions in the checkpoint are torch.Size([128]).
        While copying the parameter named "body.stage2.1.1.weight", whose dimensions in the model are torch.Size([128]) and whose dimensions in the checkpoint are torch.Size([128]).
        While copying the parameter named "body.stage2.1.1.bias", whose dimensions in the model are torch.Size([128]) and whose dimensions in the checkpoint are torch.Size([128]).
        While copying the parameter named "body.stage2.1.3.weight", whose dimensions in the model are torch.Size([128, 128, 1, 1]) and whose dimensions in the checkpoint are torch.Size([128, 128, 1, 1]).
        While copying the parameter named "body.stage2.1.4.running_var", whose dimensions in the model are torch.Size([128]) and whose dimensions in the checkpoint are torch.Size([128]).
        While copying the parameter named "body.stage2.1.4.running_mean", whose dimensions in the model are torch.Size([128]) and whose dimensions in the checkpoint are torch.Size([128]).
        While copying the parameter named "body.stage2.1.4.weight", whose dimensions in the model are torch.Size([128]) and whose dimensions in the checkpoint are torch.Size([128]).
        While copying the parameter named "body.stage2.1.4.bias", whose dimensions in the model are torch.Size([128]) and whose dimensions in the checkpoint are torch.Size([128]).
        While copying the parameter named "body.stage2.2.0.weight", whose dimensions in the model are torch.Size([128, 1, 3, 3]) and whose dimensions in the checkpoint are torch.Size([128, 1, 3, 3]).
        While copying the parameter named "body.stage2.2.1.running_var", whose dimensions in the model are torch.Size([128]) and whose dimensions in the checkpoint are torch.Size([128]).
        While copying the parameter named "body.stage2.2.1.running_mean", whose dimensions in the model are torch.Size([128]) and whose dimensions in the checkpoint are torch.Size([128]).
        While copying the parameter named "body.stage2.2.1.weight", whose dimensions in the model are torch.Size([128]) and whose dimensions in the checkpoint are torch.Size([128]).
        While copying the parameter named "body.stage2.2.1.bias", whose dimensions in the model are torch.Size([128]) and whose dimensions in the checkpoint are torch.Size([128]).
        While copying the parameter named "body.stage2.2.3.weight", whose dimensions in the model are torch.Size([128, 128, 1, 1]) and whose dimensions in the checkpoint are torch.Size([128, 128, 1, 1]).
        While copying the parameter named "body.stage2.2.4.running_var", whose dimensions in the model are torch.Size([128]) and whose dimensions in the checkpoint are torch.Size([128]).
        While copying the parameter named "body.stage2.2.4.running_mean", whose dimensions in the model are torch.Size([128]) and whose dimensions in the checkpoint are torch.Size([128]).
        While copying the parameter named "body.stage2.2.4.weight", whose dimensions in the model are torch.Size([128]) and whose dimensions in the checkpoint are torch.Size([128]).
        While copying the parameter named "body.stage2.2.4.bias", whose dimensions in the model are torch.Size([128]) and whose dimensions in the checkpoint are torch.Size([128]).
        While copying the parameter named "body.stage2.3.0.weight", whose dimensions in the model are torch.Size([128, 1, 3, 3]) and whose dimensions in the checkpoint are torch.Size([128, 1, 3, 3]).
        While copying the parameter named "body.stage2.3.1.running_var", whose dimensions in the model are torch.Size([128]) and whose dimensions in the checkpoint are torch.Size([128]).
        While copying the parameter named "body.stage2.3.1.running_mean", whose dimensions in the model are torch.Size([128]) and whose dimensions in the checkpoint are torch.Size([128]).
        While copying the parameter named "body.stage2.3.1.weight", whose dimensions in the model are torch.Size([128]) and whose dimensions in the checkpoint are torch.Size([128]).
        While copying the parameter named "body.stage2.3.1.bias", whose dimensions in the model are torch.Size([128]) and whose dimensions in the checkpoint are torch.Size([128]).
        While copying the parameter named "body.stage2.3.3.weight", whose dimensions in the model are torch.Size([128, 128, 1, 1]) and whose dimensions in the checkpoint are torch.Size([128, 128, 1, 1]).
        While copying the parameter named "body.stage2.3.4.running_var", whose dimensions in the model are torch.Size([128]) and whose dimensions in the checkpoint are torch.Size([128]).
        While copying the parameter named "body.stage2.3.4.running_mean", whose dimensions in the model are torch.Size([128]) and whose dimensions in the checkpoint are torch.Size([128]).
        While copying the parameter named "body.stage2.3.4.weight", whose dimensions in the model are torch.Size([128]) and whose dimensions in the checkpoint are torch.Size([128]).
        While copying the parameter named "body.stage2.3.4.bias", whose dimensions in the model are torch.Size([128]) and whose dimensions in the checkpoint are torch.Size([128]).
        While copying the parameter named "body.stage2.4.0.weight", whose dimensions in the model are torch.Size([128, 1, 3, 3]) and whose dimensions in the checkpoint are torch.Size([128, 1, 3, 3]).
        While copying the parameter named "body.stage2.4.1.running_var", whose dimensions in the model are torch.Size([128]) and whose dimensions in the checkpoint are torch.Size([128]).
        While copying the parameter named "body.stage2.4.1.running_mean", whose dimensions in the model are torch.Size([128]) and whose dimensions in the checkpoint are torch.Size([128]).
        While copying the parameter named "body.stage2.4.1.weight", whose dimensions in the model are torch.Size([128]) and whose dimensions in the checkpoint are torch.Size([128]).
        While copying the parameter named "body.stage2.4.1.bias", whose dimensions in the model are torch.Size([128]) and whose dimensions in the checkpoint are torch.Size([128]).
        While copying the parameter named "body.stage2.4.3.weight", whose dimensions in the model are torch.Size([128, 128, 1, 1]) and whose dimensions in the checkpoint are torch.Size([128, 128, 1, 1]).
        While copying the parameter named "body.stage2.4.4.running_var", whose dimensions in the model are torch.Size([128]) and whose dimensions in the checkpoint are torch.Size([128]).
        While copying the parameter named "body.stage2.4.4.running_mean", whose dimensions in the model are torch.Size([128]) and whose dimensions in the checkpoint are torch.Size([128]).
        While copying the parameter named "body.stage2.4.4.weight", whose dimensions in the model are torch.Size([128]) and whose dimensions in the checkpoint are torch.Size([128]).
        While copying the parameter named "body.stage2.4.4.bias", whose dimensions in the model are torch.Size([128]) and whose dimensions in the checkpoint are torch.Size([128]).
        While copying the parameter named "body.stage2.5.0.weight", whose dimensions in the model are torch.Size([128, 1, 3, 3]) and whose dimensions in the checkpoint are torch.Size([128, 1, 3, 3]).
        While copying the parameter named "body.stage2.5.1.running_var", whose dimensions in the model are torch.Size([128]) and whose dimensions in the checkpoint are torch.Size([128]).
        While copying the parameter named "body.stage2.5.1.running_mean", whose dimensions in the model are torch.Size([128]) and whose dimensions in the checkpoint are torch.Size([128]).
        While copying the parameter named "body.stage2.5.1.weight", whose dimensions in the model are torch.Size([128]) and whose dimensions in the checkpoint are torch.Size([128]).
        While copying the parameter named "body.stage2.5.1.bias", whose dimensions in the model are torch.Size([128]) and whose dimensions in the checkpoint are torch.Size([128]).
        While copying the parameter named "body.stage2.5.3.weight", whose dimensions in the model are torch.Size([128, 128, 1, 1]) and whose dimensions in the checkpoint are torch.Size([128, 128, 1, 1]).
        While copying the parameter named "body.stage2.5.4.running_var", whose dimensions in the model are torch.Size([128]) and whose dimensions in the checkpoint are torch.Size([128]).
        While copying the parameter named "body.stage2.5.4.running_mean", whose dimensions in the model are torch.Size([128]) and whose dimensions in the checkpoint are torch.Size([128]).
        While copying the parameter named "body.stage2.5.4.weight", whose dimensions in the model are torch.Size([128]) and whose dimensions in the checkpoint are torch.Size([128]).
        While copying the parameter named "body.stage2.5.4.bias", whose dimensions in the model are torch.Size([128]) and whose dimensions in the checkpoint are torch.Size([128]).
        While copying the parameter named "body.stage3.0.0.weight", whose dimensions in the model are torch.Size([128, 1, 3, 3]) and whose dimensions in the checkpoint are torch.Size([128, 1, 3, 3]).
        While copying the parameter named "body.stage3.0.1.running_var", whose dimensions in the model are torch.Size([128]) and whose dimensions in the checkpoint are torch.Size([128]).
        While copying the parameter named "body.stage3.0.1.running_mean", whose dimensions in the model are torch.Size([128]) and whose dimensions in the checkpoint are torch.Size([128]).
        While copying the parameter named "body.stage3.0.1.weight", whose dimensions in the model are torch.Size([128]) and whose dimensions in the checkpoint are torch.Size([128]).
        While copying the parameter named "body.stage3.0.1.bias", whose dimensions in the model are torch.Size([128]) and whose dimensions in the checkpoint are torch.Size([128]).
        While copying the parameter named "body.stage3.0.3.weight", whose dimensions in the model are torch.Size([256, 128, 1, 1]) and whose dimensions in the checkpoint are torch.Size([256, 128, 1, 1]).
        While copying the parameter named "body.stage3.0.4.running_var", whose dimensions in the model are torch.Size([256]) and whose dimensions in the checkpoint are torch.Size([256]).
        While copying the parameter named "body.stage3.0.4.running_mean", whose dimensions in the model are torch.Size([256]) and whose dimensions in the checkpoint are torch.Size([256]).
        While copying the parameter named "body.stage3.0.4.weight", whose dimensions in the model are torch.Size([256]) and whose dimensions in the checkpoint are torch.Size([256]).
        While copying the parameter named "body.stage3.0.4.bias", whose dimensions in the model are torch.Size([256]) and whose dimensions in the checkpoint are torch.Size([256]).
        While copying the parameter named "body.stage3.1.0.weight", whose dimensions in the model are torch.Size([256, 1, 3, 3]) and whose dimensions in the checkpoint are torch.Size([256, 1, 3, 3]).
        While copying the parameter named "body.stage3.1.1.running_var", whose dimensions in the model are torch.Size([256]) and whose dimensions in the checkpoint are torch.Size([256]).
        While copying the parameter named "body.stage3.1.1.running_mean", whose dimensions in the model are torch.Size([256]) and whose dimensions in the checkpoint are torch.Size([256]).
        While copying the parameter named "body.stage3.1.1.weight", whose dimensions in the model are torch.Size([256]) and whose dimensions in the checkpoint are torch.Size([256]).
        While copying the parameter named "body.stage3.1.1.bias", whose dimensions in the model are torch.Size([256]) and whose dimensions in the checkpoint are torch.Size([256]).
        While copying the parameter named "body.stage3.1.3.weight", whose dimensions in the model are torch.Size([256, 256, 1, 1]) and whose dimensions in the checkpoint are torch.Size([256, 256, 1, 1]).
        While copying the parameter named "body.stage3.1.4.running_var", whose dimensions in the model are torch.Size([256]) and whose dimensions in the checkpoint are torch.Size([256]).
        While copying the parameter named "body.stage3.1.4.running_mean", whose dimensions in the model are torch.Size([256]) and whose dimensions in the checkpoint are torch.Size([256]).
        While copying the parameter named "body.stage3.1.4.weight", whose dimensions in the model are torch.Size([256]) and whose dimensions in the checkpoint are torch.Size([256]).
        While copying the parameter named "body.stage3.1.4.bias", whose dimensions in the model are torch.Size([256]) and whose dimensions in the checkpoint are torch.Size([256]).
        While copying the parameter named "ssh1.conv3X3.0.weight", whose dimensions in the model are torch.Size([32, 64, 3, 3]) and whose dimensions in the checkpoint are torch.Size([32, 64, 3, 3]).
        While copying the parameter named "ssh1.conv3X3.1.running_var", whose dimensions in the model are torch.Size([32]) and whose dimensions in the checkpoint are torch.Size([32]).
        While copying the parameter named "ssh1.conv3X3.1.running_mean", whose dimensions in the model are torch.Size([32]) and whose dimensions in the checkpoint are torch.Size([32]).
        While copying the parameter named "ssh1.conv3X3.1.weight", whose dimensions in the model are torch.Size([32]) and whose dimensions in the checkpoint are torch.Size([32]).
        While copying the parameter named "ssh1.conv3X3.1.bias", whose dimensions in the model are torch.Size([32]) and whose dimensions in the checkpoint are torch.Size([32]).
        While copying the parameter named "ssh1.conv5X5_1.0.weight", whose dimensions in the model are torch.Size([16, 64, 3, 3]) and whose dimensions in the checkpoint are torch.Size([16, 64, 3, 3]).
        While copying the parameter named "ssh1.conv5X5_1.1.running_var", whose dimensions in the model are torch.Size([16]) and whose dimensions in the checkpoint are torch.Size([16]).
        While copying the parameter named "ssh1.conv5X5_1.1.running_mean", whose dimensions in the model are torch.Size([16]) and whose dimensions in the checkpoint are torch.Size([16]).
        While copying the parameter named "ssh1.conv5X5_1.1.weight", whose dimensions in the model are torch.Size([16]) and whose dimensions in the checkpoint are torch.Size([16]).
        While copying the parameter named "ssh1.conv5X5_1.1.bias", whose dimensions in the model are torch.Size([16]) and whose dimensions in the checkpoint are torch.Size([16]).
        While copying the parameter named "ssh1.conv5X5_2.0.weight", whose dimensions in the model are torch.Size([16, 16, 3, 3]) and whose dimensions in the checkpoint are torch.Size([16, 16, 3, 3]).
        While copying the parameter named "ssh1.conv5X5_2.1.running_var", whose dimensions in the model are torch.Size([16]) and whose dimensions in the checkpoint are torch.Size([16]).
        While copying the parameter named "ssh1.conv5X5_2.1.running_mean", whose dimensions in the model are torch.Size([16]) and whose dimensions in the checkpoint are torch.Size([16]).
        While copying the parameter named "ssh1.conv5X5_2.1.weight", whose dimensions in the model are torch.Size([16]) and whose dimensions in the checkpoint are torch.Size([16]).
        While copying the parameter named "ssh1.conv5X5_2.1.bias", whose dimensions in the model are torch.Size([16]) and whose dimensions in the checkpoint are torch.Size([16]).
        While copying the parameter named "ssh1.conv7X7_2.0.weight", whose dimensions in the model are torch.Size([16, 16, 3, 3]) and whose dimensions in the checkpoint are torch.Size([16, 16, 3, 3]).
        While copying the parameter named "ssh1.conv7X7_2.1.running_var", whose dimensions in the model are torch.Size([16]) and whose dimensions in the checkpoint are torch.Size([16]).
        While copying the parameter named "ssh1.conv7X7_2.1.running_mean", whose dimensions in the model are torch.Size([16]) and whose dimensions in the checkpoint are torch.Size([16]).
        While copying the parameter named "ssh1.conv7X7_2.1.weight", whose dimensions in the model are torch.Size([16]) and whose dimensions in the checkpoint are torch.Size([16]).
        While copying the parameter named "ssh1.conv7X7_2.1.bias", whose dimensions in the model are torch.Size([16]) and whose dimensions in the checkpoint are torch.Size([16]).
        While copying the parameter named "ssh1.conv7x7_3.0.weight", whose dimensions in the model are torch.Size([16, 16, 3, 3]) and whose dimensions in the checkpoint are torch.Size([16, 16, 3, 3]).
        While copying the parameter named "ssh1.conv7x7_3.1.running_var", whose dimensions in the model are torch.Size([16]) and whose dimensions in the checkpoint are torch.Size([16]).
        While copying the parameter named "ssh1.conv7x7_3.1.running_mean", whose dimensions in the model are torch.Size([16]) and whose dimensions in the checkpoint are torch.Size([16]).
        While copying the parameter named "ssh1.conv7x7_3.1.weight", whose dimensions in the model are torch.Size([16]) and whose dimensions in the checkpoint are torch.Size([16]).
        While copying the parameter named "ssh1.conv7x7_3.1.bias", whose dimensions in the model are torch.Size([16]) and whose dimensions in the checkpoint are torch.Size([16]).
        While copying the parameter named "ssh2.conv3X3.0.weight", whose dimensions in the model are torch.Size([32, 64, 3, 3]) and whose dimensions in the checkpoint are torch.Size([32, 64, 3, 3]).
        While copying the parameter named "ssh2.conv3X3.1.running_var", whose dimensions in the model are torch.Size([32]) and whose dimensions in the checkpoint are torch.Size([32]).
        While copying the parameter named "ssh2.conv3X3.1.running_mean", whose dimensions in the model are torch.Size([32]) and whose dimensions in the checkpoint are torch.Size([32]).
        While copying the parameter named "ssh2.conv3X3.1.weight", whose dimensions in the model are torch.Size([32]) and whose dimensions in the checkpoint are torch.Size([32]).
        While copying the parameter named "ssh2.conv3X3.1.bias", whose dimensions in the model are torch.Size([32]) and whose dimensions in the checkpoint are torch.Size([32]).
        While copying the parameter named "ssh2.conv5X5_1.0.weight", whose dimensions in the model are torch.Size([16, 64, 3, 3]) and whose dimensions in the checkpoint are torch.Size([16, 64, 3, 3]).
        While copying the parameter named "ssh2.conv5X5_1.1.running_var", whose dimensions in the model are torch.Size([16]) and whose dimensions in the checkpoint are torch.Size([16]).
        While copying the parameter named "ssh2.conv5X5_1.1.running_mean", whose dimensions in the model are torch.Size([16]) and whose dimensions in the checkpoint are torch.Size([16]).
        While copying the parameter named "ssh2.conv5X5_1.1.weight", whose dimensions in the model are torch.Size([16]) and whose dimensions in the checkpoint are torch.Size([16]).
        While copying the parameter named "ssh2.conv5X5_1.1.bias", whose dimensions in the model are torch.Size([16]) and whose dimensions in the checkpoint are torch.Size([16]).
        While copying the parameter named "ssh2.conv5X5_2.0.weight", whose dimensions in the model are torch.Size([16, 16, 3, 3]) and whose dimensions in the checkpoint are torch.Size([16, 16, 3, 3]).
        While copying the parameter named "ssh2.conv5X5_2.1.running_var", whose dimensions in the model are torch.Size([16]) and whose dimensions in the checkpoint are torch.Size([16]).
        While copying the parameter named "ssh2.conv5X5_2.1.running_mean", whose dimensions in the model are torch.Size([16]) and whose dimensions in the checkpoint are torch.Size([16]).
        While copying the parameter named "ssh2.conv5X5_2.1.weight", whose dimensions in the model are torch.Size([16]) and whose dimensions in the checkpoint are torch.Size([16]).
        While copying the parameter named "ssh2.conv5X5_2.1.bias", whose dimensions in the model are torch.Size([16]) and whose dimensions in the checkpoint are torch.Size([16]).
        While copying the parameter named "ssh2.conv7X7_2.0.weight", whose dimensions in the model are torch.Size([16, 16, 3, 3]) and whose dimensions in the checkpoint are torch.Size([16, 16, 3, 3]).
        While copying the parameter named "ssh2.conv7X7_2.1.running_var", whose dimensions in the model are torch.Size([16]) and whose dimensions in the checkpoint are torch.Size([16]).
        While copying the parameter named "ssh2.conv7X7_2.1.running_mean", whose dimensions in the model are torch.Size([16]) and whose dimensions in the checkpoint are torch.Size([16]).
        While copying the parameter named "ssh2.conv7X7_2.1.weight", whose dimensions in the model are torch.Size([16]) and whose dimensions in the checkpoint are torch.Size([16]).
        While copying the parameter named "ssh2.conv7X7_2.1.bias", whose dimensions in the model are torch.Size([16]) and whose dimensions in the checkpoint are torch.Size([16]).
        While copying the parameter named "ssh2.conv7x7_3.0.weight", whose dimensions in the model are torch.Size([16, 16, 3, 3]) and whose dimensions in the checkpoint are torch.Size([16, 16, 3, 3]).
        While copying the parameter named "ssh2.conv7x7_3.1.running_var", whose dimensions in the model are torch.Size([16]) and whose dimensions in the checkpoint are torch.Size([16]).
        While copying the parameter named "ssh2.conv7x7_3.1.running_mean", whose dimensions in the model are torch.Size([16]) and whose dimensions in the checkpoint are torch.Size([16]).
        While copying the parameter named "ssh2.conv7x7_3.1.weight", whose dimensions in the model are torch.Size([16]) and whose dimensions in the checkpoint are torch.Size([16]).
        While copying the parameter named "ssh2.conv7x7_3.1.bias", whose dimensions in the model are torch.Size([16]) and whose dimensions in the checkpoint are torch.Size([16]).
        While copying the parameter named "ssh3.conv3X3.0.weight", whose dimensions in the model are torch.Size([32, 64, 3, 3]) and whose dimensions in the checkpoint are torch.Size([32, 64, 3, 3]).
        While copying the parameter named "ssh3.conv3X3.1.running_var", whose dimensions in the model are torch.Size([32]) and whose dimensions in the checkpoint are torch.Size([32]).
        While copying the parameter named "ssh3.conv3X3.1.running_mean", whose dimensions in the model are torch.Size([32]) and whose dimensions in the checkpoint are torch.Size([32]).
        While copying the parameter named "ssh3.conv3X3.1.weight", whose dimensions in the model are torch.Size([32]) and whose dimensions in the checkpoint are torch.Size([32]).
        While copying the parameter named "ssh3.conv3X3.1.bias", whose dimensions in the model are torch.Size([32]) and whose dimensions in the checkpoint are torch.Size([32]).
        While copying the parameter named "ssh3.conv5X5_1.0.weight", whose dimensions in the model are torch.Size([16, 64, 3, 3]) and whose dimensions in the checkpoint are torch.Size([16, 64, 3, 3]).
        While copying the parameter named "ssh3.conv5X5_1.1.running_var", whose dimensions in the model are torch.Size([16]) and whose dimensions in the checkpoint are torch.Size([16]).
        While copying the parameter named "ssh3.conv5X5_1.1.running_mean", whose dimensions in the model are torch.Size([16]) and whose dimensions in the checkpoint are torch.Size([16]).
        While copying the parameter named "ssh3.conv5X5_1.1.weight", whose dimensions in the model are torch.Size([16]) and whose dimensions in the checkpoint are torch.Size([16]).
        While copying the parameter named "ssh3.conv5X5_1.1.bias", whose dimensions in the model are torch.Size([16]) and whose dimensions in the checkpoint are torch.Size([16]).
        While copying the parameter named "ssh3.conv5X5_2.0.weight", whose dimensions in the model are torch.Size([16, 16, 3, 3]) and whose dimensions in the checkpoint are torch.Size([16, 16, 3, 3]).
        While copying the parameter named "ssh3.conv5X5_2.1.running_var", whose dimensions in the model are torch.Size([16]) and whose dimensions in the checkpoint are torch.Size([16]).
        While copying the parameter named "ssh3.conv5X5_2.1.running_mean", whose dimensions in the model are torch.Size([16]) and whose dimensions in the checkpoint are torch.Size([16]).
        While copying the parameter named "ssh3.conv5X5_2.1.weight", whose dimensions in the model are torch.Size([16]) and whose dimensions in the checkpoint are torch.Size([16]).
        While copying the parameter named "ssh3.conv5X5_2.1.bias", whose dimensions in the model are torch.Size([16]) and whose dimensions in the checkpoint are torch.Size([16]).
        While copying the parameter named "ssh3.conv7X7_2.0.weight", whose dimensions in the model are torch.Size([16, 16, 3, 3]) and whose dimensions in the checkpoint are torch.Size([16, 16, 3, 3]).
        While copying the parameter named "ssh3.conv7X7_2.1.running_var", whose dimensions in the model are torch.Size([16]) and whose dimensions in the checkpoint are torch.Size([16]).
        While copying the parameter named "ssh3.conv7X7_2.1.running_mean", whose dimensions in the model are torch.Size([16]) and whose dimensions in the checkpoint are torch.Size([16]).
        While copying the parameter named "ssh3.conv7X7_2.1.weight", whose dimensions in the model are torch.Size([16]) and whose dimensions in the checkpoint are torch.Size([16]).
        While copying the parameter named "ssh3.conv7X7_2.1.bias", whose dimensions in the model are torch.Size([16]) and whose dimensions in the checkpoint are torch.Size([16]).
        While copying the parameter named "ssh3.conv7x7_3.0.weight", whose dimensions in the model are torch.Size([16, 16, 3, 3]) and whose dimensions in the checkpoint are torch.Size([16, 16, 3, 3]).
        While copying the parameter named "ssh3.conv7x7_3.1.running_var", whose dimensions in the model are torch.Size([16]) and whose dimensions in the checkpoint are torch.Size([16]).
        While copying the parameter named "ssh3.conv7x7_3.1.running_mean", whose dimensions in the model are torch.Size([16]) and whose dimensions in the checkpoint are torch.Size([16]).
        While copying the parameter named "ssh3.conv7x7_3.1.weight", whose dimensions in the model are torch.Size([16]) and whose dimensions in the checkpoint are torch.Size([16]).
        While copying the parameter named "ssh3.conv7x7_3.1.bias", whose dimensions in the model are torch.Size([16]) and whose dimensions in the checkpoint are torch.Size([16]).
        While copying the parameter named "ClassHead.0.conv1x1.weight", whose dimensions in the model are torch.Size([4, 64, 1, 1]) and whose dimensions in the checkpoint are torch.Size([4, 64, 1, 1]).
        While copying the parameter named "ClassHead.0.conv1x1.bias", whose dimensions in the model are torch.Size([4]) and whose dimensions in the checkpoint are torch.Size([4]).
        While copying the parameter named "ClassHead.1.conv1x1.weight", whose dimensions in the model are torch.Size([4, 64, 1, 1]) and whose dimensions in the checkpoint are torch.Size([4, 64, 1, 1]).
        While copying the parameter named "ClassHead.1.conv1x1.bias", whose dimensions in the model are torch.Size([4]) and whose dimensions in the checkpoint are torch.Size([4]).
        While copying the parameter named "ClassHead.2.conv1x1.weight", whose dimensions in the model are torch.Size([4, 64, 1, 1]) and whose dimensions in the checkpoint are torch.Size([4, 64, 1, 1]).
        While copying the parameter named "ClassHead.2.conv1x1.bias", whose dimensions in the model are torch.Size([4]) and whose dimensions in the checkpoint are torch.Size([4]).
        While copying the parameter named "BboxHead.0.conv1x1.weight", whose dimensions in the model are torch.Size([8, 64, 1, 1]) and whose dimensions in the checkpoint are torch.Size([8, 64, 1, 1]).
        While copying the parameter named "BboxHead.0.conv1x1.bias", whose dimensions in the model are torch.Size([8]) and whose dimensions in the checkpoint are torch.Size([8]).
        While copying the parameter named "BboxHead.1.conv1x1.weight", whose dimensions in the model are torch.Size([8, 64, 1, 1]) and whose dimensions in the checkpoint are torch.Size([8, 64, 1, 1]).
        While copying the parameter named "BboxHead.1.conv1x1.bias", whose dimensions in the model are torch.Size([8]) and whose dimensions in the checkpoint are torch.Size([8]).
        While copying the parameter named "BboxHead.2.conv1x1.weight", whose dimensions in the model are torch.Size([8, 64, 1, 1]) and whose dimensions in the checkpoint are torch.Size([8, 64, 1, 1]).
        While copying the parameter named "BboxHead.2.conv1x1.bias", whose dimensions in the model are torch.Size([8]) and whose dimensions in the checkpoint are torch.Size([8]).
        While copying the parameter named "LandmarkHead.0.conv1x1.weight", whose dimensions in the model are torch.Size([20, 64, 1, 1]) and whose dimensions in the checkpoint are torch.Size([20, 64, 1, 1]).
        While copying the parameter named "LandmarkHead.0.conv1x1.bias", whose dimensions in the model are torch.Size([20]) and whose dimensions in the checkpoint are torch.Size([20]).
        While copying the parameter named "LandmarkHead.1.conv1x1.weight", whose dimensions in the model are torch.Size([20, 64, 1, 1]) and whose dimensions in the checkpoint are torch.Size([20, 64, 1, 1]).
        While copying the parameter named "LandmarkHead.1.conv1x1.bias", whose dimensions in the model are torch.Size([20]) and whose dimensions in the checkpoint are torch.Size([20]).
        While copying the parameter named "LandmarkHead.2.conv1x1.weight", whose dimensions in the model are torch.Size([20, 64, 1, 1]) and whose dimensions in the checkpoint are torch.Size([20, 64, 1, 1]).
        While copying the parameter named "LandmarkHead.2.conv1x1.bias", whose dimensions in the model are torch.Size([20]) and whose dimensions in the checkpoint are torch.Size([20]).