`Traceback (most recent call last):
File "evaluate_model_nono.py", line 118, in
coords3D, , _ = VAE_RGB(img_crop_var, VAE_3D, hand_side_var)
File "/home/dandans/anaconda3/envs/vae/lib/python3.5/site-packages/torch/nn/modules/module.py", line 357, in call
result = self.forward(*input, kwargs)
File "models/model_noHandInvar_noScaleInvar/source_files/models.py", line 372, in forward
mu, logvar = self.encode(x, hand_side)
File "models/model_noHandInvar_noScaleInvar/source_files/models.py", line 359, in encode
h_i = self.encoder(x, hand_side)
File "/home/dandans/anaconda3/envs/vae/lib/python3.5/site-packages/torch/nn/modules/module.py", line 357, in call
result = self.forward(*input, *kwargs)
File "models/model_noHandInvar_noScaleInvar/source_files/models.py", line 138, in forward
x = self.conv1(x)
File "/home/dandans/anaconda3/envs/vae/lib/python3.5/site-packages/torch/nn/modules/module.py", line 357, in call
result = self.forward(input, kwargs)
File "/home/dandans/anaconda3/envs/vae/lib/python3.5/site-packages/torch/nn/modules/conv.py", line 282, in forward
self.padding, self.dilation, self.groups)
File "/home/dandans/anaconda3/envs/vae/lib/python3.5/site-packages/torch/nn/functional.py", line 90, in conv2d
return f(input, weight, bias)
`Traceback (most recent call last): File "evaluate_model_nono.py", line 118, in
coords3D, , _ = VAE_RGB(img_crop_var, VAE_3D, hand_side_var)
File "/home/dandans/anaconda3/envs/vae/lib/python3.5/site-packages/torch/nn/modules/module.py", line 357, in call
result = self.forward(*input, kwargs)
File "models/model_noHandInvar_noScaleInvar/source_files/models.py", line 372, in forward
mu, logvar = self.encode(x, hand_side)
File "models/model_noHandInvar_noScaleInvar/source_files/models.py", line 359, in encode
h_i = self.encoder(x, hand_side)
File "/home/dandans/anaconda3/envs/vae/lib/python3.5/site-packages/torch/nn/modules/module.py", line 357, in call
result = self.forward(*input, *kwargs)
File "models/model_noHandInvar_noScaleInvar/source_files/models.py", line 138, in forward
x = self.conv1(x)
File "/home/dandans/anaconda3/envs/vae/lib/python3.5/site-packages/torch/nn/modules/module.py", line 357, in call
result = self.forward(input, kwargs)
File "/home/dandans/anaconda3/envs/vae/lib/python3.5/site-packages/torch/nn/modules/conv.py", line 282, in forward
self.padding, self.dilation, self.groups)
File "/home/dandans/anaconda3/envs/vae/lib/python3.5/site-packages/torch/nn/functional.py", line 90, in conv2d
return f(input, weight, bias)
RuntimeError:
CUDNN_STATUS_EXECUTION_FAILED
Does anyone meet the same problem?