torch.split()

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torch.split() 原创

云苓苓苓 2023-03-30 09:50:15 博主文章分类：Pytorch ©著作权

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chatgpt

torch.split() is a PyTorch function that splits a tensor into a specified number of chunks along a given dimension. Here is the basic syntax for torch.split():

torch.split(tensor, split_size_or_sections, dim=0)tensor: the input tensor to be split.split_size_or_sections: an integer representing the size of each split, or a list of integers representing the specific indices to split the tensor.dim: the dimension along which the tensor is split.

Here's an example of how to use torch.split() to split a tensor into two equal parts along the first dimension:

import torch # create a tensor of shape (4, 6) tensor = torch.randn(4, 6) # split the tensor into two chunks along the first dimension chunks = torch.split(tensor, 2, dim=0) # print the resulting chunks for chunk in chunks: print(chunk)

In this example, the split_size_or_sections argument is set to 2, so the tensor is split into two equal chunks along the first dimension (dim=0). The resulting chunks variable will contain two tensors, each of shape (2, 6).

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