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Hello, I use the image size 128 * 128 * 48 48 as the layer thickness, your model reports an error
File "/home/yuanpeng/anaconda3/envs/python37/lib/python3.7/site-packages/torch/nn/modules/module.py", line 1194, in _call_impl
return forward_call(*input, **kwargs)
File "/home/yuanpeng/transmorph/OASIS/TransMorph/models/TransMorph.py", line 1291, in forward
x_down = self.downsample(x, H, W, T)
File "/home/yuanpeng/anaconda3/envs/python37/lib/python3.7/site-packages/torch/nn/modules/module.py", line 1194, in _call_impl
return forward_call(input, **kwargs)
File "/home/yuanpeng/transmorph/OASIS/TransMorph/models/TransMorph.py", line 1163, in forward
assert H % 2 == 0 and W % 2 == 0 and T % 2 == 0, f"x size ({H}{W}) are not even."
AssertionError: x size (8 * 8) are not even.
Is there any latest version suitable for 128 * 128 * 48 size?
The text was updated successfully, but these errors were encountered:
Hello, I use the image size 128 * 128 * 48 48 as the layer thickness, your model reports an error
File "/home/yuanpeng/anaconda3/envs/python37/lib/python3.7/site-packages/torch/nn/modules/module.py", line 1194, in _call_impl
return forward_call(*input, **kwargs)
File "/home/yuanpeng/transmorph/OASIS/TransMorph/models/TransMorph.py", line 1291, in forward
x_down = self.downsample(x, H, W, T)
File "/home/yuanpeng/anaconda3/envs/python37/lib/python3.7/site-packages/torch/nn/modules/module.py", line 1194, in _call_impl
return forward_call(input, **kwargs)
File "/home/yuanpeng/transmorph/OASIS/TransMorph/models/TransMorph.py", line 1163, in forward
assert H % 2 == 0 and W % 2 == 0 and T % 2 == 0, f"x size ({H}{W}) are not even."
AssertionError: x size (8 * 8) are not even.
Is there any latest version suitable for 128 * 128 * 48 size?
The text was updated successfully, but these errors were encountered: