Hi,guanzhi,there is a problem occured.
`--- load model ---
initialize network with normal
initialize network with normal
initialize network with normal
initialize network with normal
initialize network with normal
initialize network with normal
initialize network with normal
initialize network with normal
initialize network with normal
initialize network with normal
initialize network with normal
initialize network with normal
initialize network with normal
initialize network with normal
initialize network with normal
initialize network with normal
start the training at epoch 2800
--- train ---
starting forward for testing images
Traceback (most recent call last):
File "run.py", line 152, in
main()
File "run.py", line 85, in main
model.test_forward(images_a, images_b, images_c)
File "/opt_ext_one/Documents/sfj/LADN/src/model.py", line 763, in test_forward
self.z_content_a, self.z_content_b = self.enc_c.forward(self.real_A_encoded, self.real_B_encoded)
File "/opt_ext_one/Documents/sfj/LADN/src/networks.py", line 140, in forward
outputA = self.forward_a(xa)
File "/opt_ext_one/Documents/sfj/LADN/src/networks.py", line 148, in forward_a
e1_2_A = self.bn_e1_A(self.conv2_e1_A(self.relu_e1_A(e1_1_A)))
File "/home/peter/miniconda3/envs/TF_and_Pytorch_GPU/lib/python3.6/site-packages/torch/nn/modules/module.py", line 541, in call
result = self.forward(*input, **kwargs)
File "/home/peter/miniconda3/envs/TF_and_Pytorch_GPU/lib/python3.6/site-packages/torch/nn/modules/batchnorm.py", line 81, in forward
exponential_average_factor, self.eps)
File "/home/peter/miniconda3/envs/TF_and_Pytorch_GPU/lib/python3.6/site-packages/torch/nn/functional.py", line 1670, in batch_norm
training, momentum, eps, torch.backends.cudnn.enabled
RuntimeError: cuDNN error: CUDNN_STATUS_BAD_PARAM`
Thanks for your time!
Hi,guanzhi,there is a problem occured. `--- load model --- initialize network with normal initialize network with normal initialize network with normal initialize network with normal initialize network with normal initialize network with normal initialize network with normal initialize network with normal initialize network with normal initialize network with normal initialize network with normal initialize network with normal initialize network with normal initialize network with normal initialize network with normal initialize network with normal start the training at epoch 2800
--- train --- starting forward for testing images Traceback (most recent call last): File "run.py", line 152, in
main()
File "run.py", line 85, in main
model.test_forward(images_a, images_b, images_c)
File "/opt_ext_one/Documents/sfj/LADN/src/model.py", line 763, in test_forward
self.z_content_a, self.z_content_b = self.enc_c.forward(self.real_A_encoded, self.real_B_encoded)
File "/opt_ext_one/Documents/sfj/LADN/src/networks.py", line 140, in forward
outputA = self.forward_a(xa)
File "/opt_ext_one/Documents/sfj/LADN/src/networks.py", line 148, in forward_a
e1_2_A = self.bn_e1_A(self.conv2_e1_A(self.relu_e1_A(e1_1_A)))
File "/home/peter/miniconda3/envs/TF_and_Pytorch_GPU/lib/python3.6/site-packages/torch/nn/modules/module.py", line 541, in call
result = self.forward(*input, **kwargs)
File "/home/peter/miniconda3/envs/TF_and_Pytorch_GPU/lib/python3.6/site-packages/torch/nn/modules/batchnorm.py", line 81, in forward
exponential_average_factor, self.eps)
File "/home/peter/miniconda3/envs/TF_and_Pytorch_GPU/lib/python3.6/site-packages/torch/nn/functional.py", line 1670, in batch_norm
training, momentum, eps, torch.backends.cudnn.enabled
RuntimeError: cuDNN error: CUDNN_STATUS_BAD_PARAM`
Thanks for your time!