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View Contiguous
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| import torch | |
| # Tensor of interest | |
| tens_A = torch.rand((2,3,4)) # 3-dimensional tensor of shape (2,3,4) | |
| def test_view(tensor, sizes): | |
| try: | |
| tensor.view(*sizes) | |
| except Exception as e: | |
| print(e) | |
| print(f"View was Failed: tensor.is_contiguos == {tensor.is_contiguous()}") | |
| else: | |
| print(f"View was Successful: tensor.is_contiguos == {tensor.is_contiguous()}") | |
| sizes = (3,4,2) | |
| # Let's try to use view | |
| test_view(tens_A, sizes) | |
| # Apply view-function that change contiguity and try again | |
| perm_tens_A = tens_A.permute(0,2,1) # change order of axis | |
| test_view(perm_tens_A, sizes) # this will result in RuntimeError("Use .reshape(...) instead") |
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