Yahoo Search Búsqueda en la Web

Resultado de búsqueda

  1. Learn how to use torch.reshape function to create a tensor with the same data and number of elements as input, but with the specified shape. See parameters, examples and copying vs. viewing behavior.

    • Torch.Permute

      Torch.Permute - torch.reshape — PyTorch 2.3 documentation

    • Torch.Row Stack

      Torch.Row Stack - torch.reshape — PyTorch 2.3 documentation

    • Torch.Split

      Torch.Split - torch.reshape — PyTorch 2.3 documentation

    • Torch

      The torch package contains data structures for...

  2. 11 de abr. de 2017 · Learn how to reshape a PyTorch tensor using different methods such as unsqueeze, view, reshape, and resize. See examples, explanations, and comparisons of the approaches.

  3. Returns a tensor with the same data and number of elements as self but with the specified shape. This method returns a view if shape is compatible with the current shape. See torch.Tensor.view() on when it is possible to return a view. See torch.reshape() Parameters. shape ( tuple of python:ints or int...) – the desired shape. Next Previous.

  4. 1 de sept. de 2021 · Learn how to change the shape of a tensor in Pytorch using reshape(), flatten() and view() methods. See examples of reshaping 1D, 2D and 3D tensors with different dimensions and sizes.

  5. 18 de abr. de 2021 · Learn how to use torch.reshape(), torch.squeeze(), torch.unsqueeze(), torch.flatten() and torch.view() to manipulate tensor shapes in PyTorch. See syntax, parameters and examples for each function.

  6. 14 de jul. de 2023 · PyTorch brings to the table the torch.reshape() function that can help us easily and efficiently get the job of reshaping tensors done. Below is its syntax: reshaped_tensor = torch.reshape(input, shape) Where input is the tensor you want to reshape, and shape is a tuple of integers specifying the new shape.