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When I tried to run this code, the following error occurred:
Fast Gradient Sign Method
Model: inception_v3
Traceback (most recent call last):
File "fgsm.py", line 62, in
out = model(inp)
File "/home/jinping/anaconda3/lib/python3.6/site-packages/torch/nn/modules/module.py", line 477, in call
result = self.forward(*input, **kwargs)
File "/home/jinping/anaconda3/lib/python3.6/site-packages/torchvision/models/inception.py", line 117, in forward
x = F.avg_pool2d(x, kernel_size=8)
RuntimeError: Given input size: (2048x5x5). Calculated output size: (2048x0x0). Output size is too small at /home/jinping/project/pytorch/aten/src/THCUNN/generic/SpatialAveragePooling.cu:63
The text was updated successfully, but these errors were encountered:
Image size should be 299x299 for Inception. After you make this change in the code, you'll encounter a different error.
Traceback (most recent call last): File "fgsm.py", line 77, in <module> loss.backward() File "/usr/local/lib/python3.5/dist-packages/torch/tensor.py", line 96, in backward torch.autograd.backward(self, gradient, retain_graph, create_graph) File "/usr/local/lib/python3.5/dist-packages/torch/autograd/__init__.py", line 90, in backward allow_unreachable=True) # allow_unreachable flag RuntimeError: one of the variables needed for gradient computation has been modified by an inplace operation
Image size should be 299x299 for Inception. After you make this change in the code, you'll encounter a different error.
Traceback (most recent call last): File "fgsm.py", line 77, in <module> loss.backward() File "/usr/local/lib/python3.5/dist-packages/torch/tensor.py", line 96, in backward torch.autograd.backward(self, gradient, retain_graph, create_graph) File "/usr/local/lib/python3.5/dist-packages/torch/autograd/__init__.py", line 90, in backward allow_unreachable=True) # allow_unreachable flag RuntimeError: one of the variables needed for gradient computation has been modified by an inplace operation
When I tried to run this code, the following error occurred:
Fast Gradient Sign Method
Model: inception_v3
Traceback (most recent call last):
File "fgsm.py", line 62, in
out = model(inp)
File "/home/jinping/anaconda3/lib/python3.6/site-packages/torch/nn/modules/module.py", line 477, in call
result = self.forward(*input, **kwargs)
File "/home/jinping/anaconda3/lib/python3.6/site-packages/torchvision/models/inception.py", line 117, in forward
x = F.avg_pool2d(x, kernel_size=8)
RuntimeError: Given input size: (2048x5x5). Calculated output size: (2048x0x0). Output size is too small at /home/jinping/project/pytorch/aten/src/THCUNN/generic/SpatialAveragePooling.cu:63
The text was updated successfully, but these errors were encountered: