RuntimeError: view size is not compatible with input tensor's size and stride (at least one dimension spans across two contiguous subspaces)

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I am using Pytorch. I got this RuntimeError while evaluating a model. Any idea how to solve this?

pytorch deep-learning computer-vision python
2 Answers

SOLUTION: Just replace the view() function with reshape() function as suggested in the error and it works.

I guess this has to do with how the tensor is stored in memory.

user_154540180

SOLUTION2: change the .view(...) to .contiguous().view(...).

Actually, 'reshape()' does a similar job as contiguous() under the hood, if it needs.

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