4/1/2023 0 Comments Pytorch permuteIn particular, I get the error: Traceback (most recen. permute x torch.arange (24).view (2, 4) print (x. Describe the bug This bug arises when trying to compile a training step function (forward + backward + opt step) using inductor backend ('eager' and 'aoteager' backends work fine). If you are using the latest version of PyTorch, please check the spelling and capitalization of permute() function, and make sure that you have imported the correct module. permute is quite different to view and reshape: View vs. Torch defines 10 tensor types with CPU and GPU variants which are as follows: Sometimes referred to as binary16: uses 1 sign, 5 exponent, and 10 significand bits. Pytorch tensor.sort () descendingTrue descendingFalse a torch.randn(3,3) > tensor( 1.1976, 0.2529, -0.9852, -0.2465, -0.2176, -1.4343, 0.9259, -0.7622, 0. Using an older PyTorch version, you can use the transpose() function instead of permute() to resolve this AttributeError.
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