Problems with running the test code

[Pandoravirus-N-T]

Hello author, I would like to ask about some problems I had when I configured the environment to run the test file. The vis_test file generated after running the draw_result file is the same as the original, without any changes. This is the running information of the test file build network C:\Users\Lenovo\Desktop\HLA-Face-Code-main\HLA-Face-Code-main\testcode\layers\modules\l2norm.py:26: UserWarning: nn.init.constant is now deprecated in favor of nn.init.constant. init.constant(self.weight,self.gamma) D:\anaconda\envs\HLA-Face-Code-main\lib\site-packages\torch\nn\functional.py:1339: UserWarning: nn.functional.tanh is deprecated. Use torch.tanh instead. warnings.warn("nn.functional.tanh is deprecated. Use torch.tanh instead.") D:\anaconda\envs\HLA-Face-Code-main\lib\site-packages\torch\nn\functional.py:2390: UserWarning: nn.functional.upsample is deprecated. Use nn.functional.interpolate instead. warnings.warn("nn.functional.upsample is deprecated. Use nn.functional.interpolate instead.") D:\anaconda\envs\HLA-Face-Code-main\lib\site-packages\torch\nn\functional.py:2479: UserWarning: Default upsampling behavior when mode=bilinear is changed to align_corners=False since 0.4.0. Please specify align_corners=True if the old behavior is desired. See the documentation of nn.Upsample for details. "See the documentation of nn.Upsample for details.".format(mode)) C:\Users\Lenovo\Desktop\HLA-Face-Code-main\HLA-Face-Code-main\test_code\models\DSFD_vgg.py:214: UserWarning: volatile was removed and now has no effect. Use with torch.no_grad(): instead. self.priors_pal1 = Variable(priorbox.forward(), volatile=True).to(x.device) C:\Users\Lenovo\Desktop\HLA-Face-Code-main\HLA-Face-Code-main\test_code\models\DSFD_vgg.py:217: UserWarning: volatile was removed and now has no effect. Use with torch.no_grad(): instead. self.priors_pal2 = Variable(priorbox.forward(), volatile=True).to(x.device) ..\torch\csrc\autograd\python_function.cpp:638: UserWarning: Legacy autograd function with non-static forward method is deprecated and will be removed in 1.3. Please use new-style autograd function with static forward method. (Example: https://pytorch.org/docs/stable/autograd.html#torch.autograd.Function) ..\torch\csrc\autograd\python_function.cpp:638: UserWarning: Legacy autograd function with non-static forward method is deprecated and will be removed in 1.3. Please use new-style autograd function with static forward method. (Example: https://pytorch.org/docs/stable/autograd.html#torch.autograd.Function) ..\torch\csrc\autograd\python_function.cpp:638: UserWarning: Legacy autograd function with non-static forward method is deprecated and will be removed in 1.3. Please use new-style autograd function with static forward method. (Example: https://pytorch.org/docs/stable/autograd.html#torch.autograd.Function) ..\torch\csrc\autograd\python_function.cpp:638: UserWarning: Legacy autograd function with non-static forward method is deprecated and will be removed in 1.3. Please use new-style autograd function with static forward method. (Example: https://pytorch.org/docs/stable/autograd.html#torch.autograd.Function) ..\torch\csrc\autograd\python_function.cpp:638: UserWarning: Legacy autograd function with non-static forward method is deprecated and will be removed in 1.3. Please use new-style autograd function with static forward method. (Example: https://pytorch.org/docs/stable/autograd.html#torch.autograd.Function) ..\torch\csrc\autograd\python_function.cpp:638: UserWarning: Legacy autograd function with non-static forward method is deprecated and will be removed in 1.3. Please use new-style autograd function with static forward method. (Example: https://pytorch.org/docs/stable/autograd.html#torch.autograd.Function) ..\torch\csrc\autograd\python_function.cpp:638: UserWarning: Legacy autograd function with non-static forward method is deprecated and will be removed in 1.3. Please use new-style autograd function with static forward method. (Example: https://pytorch.org/docs/stable/autograd.html#torch.autograd.Function) ..\torch\csrc\autograd\python_function.cpp:638: UserWarning: Legacy autograd function with non-static forward method is deprecated and will be removed in 1.3. Please use new-style autograd function with static forward method. (Example: https://pytorch.org/docs/stable/autograd.html#torch.autograd.Function) ..\torch\csrc\autograd\python_function.cpp:638: UserWarning: Legacy autograd function with non-static forward method is deprecated and will be removed in 1.3. Please use new-style autograd function with static forward method. (Example: https://pytorch.org/docs/stable/autograd.html#torch.autograd.Function) ..\torch\csrc\autograd\python_function.cpp:638: UserWarning: Legacy autograd function with non-static forward method is deprecated and will be removed in 1.3. Please use new-style autograd function with static forward method. (Example: https://pytorch.org/docs/stable/autograd.html#torch.autograd.Function) ..\torch\csrc\autograd\python_function.cpp:638: UserWarning: Legacy autograd function with non-static forward method is deprecated and will be removed in 1.3. Please use new-style autograd function with static forward method. (Example: https://pytorch.org/docs/stable/autograd.html#torch.autograd.Function)

[daooshee]

Hi, it might be that you are using a too new PyTorch version. Can you try PyTorch 1.2.0?