'RuntimeError: view size is not compatible with input tensor's size and stride (at least one dimension spans across two contiguous subspaces)
I am using Pytorch. I got this RuntimeError while evaluating a model. Any idea how to solve this?
Solution 1:[1]
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.
Solution 2:[2]
SOLUTION2: change the .view(...) to .contiguous().view(...).
Actually, 'reshape()' does a similar job as contiguous() under the hood, if it needs.
Sources
This article follows the attribution requirements of Stack Overflow and is licensed under CC BY-SA 3.0.
Source: Stack Overflow
| Solution | Source |
|---|---|
| Solution 1 | Bill Psomas |
| Solution 2 | starriet |