For Python 3 and recent PyTorch #1
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ShirAmir
reviewed
Feb 12, 2022
| self.num_patches = int(num_patches) | ||
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| def flatten(self,matrix): # takes NxCxHxW input and outputs NxHWC | ||
| return matrix.view((self.batch_size*self.num_patches,-1)) |
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should be:
return matrix.reshape((self.batch_size*self.num_patches,-1))
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Was it hitting an error about non-contiguous tensors?
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Tested to work with Python 3 and the version of PyTorch currently installed by conda (0.4.1). Also, added
.gitignoreto ignore files generated by Python that shouldn't be committed and changed the tabs to 4 spaces because PEP8.