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Showing content from https://docs.pytorch.org/docs/stable/generated/torch.Tensor.set_.html below:

torch.Tensor.set_ — PyTorch 2.7 documentation

Tensor.set_(source=None, storage_offset=0, size=None, stride=None) → Tensor¶

Sets the underlying storage, size, and strides. If source is a tensor, self tensor will share the same storage and have the same size and strides as source. Changes to elements in one tensor will be reflected in the other.

If source is a Storage, the method sets the underlying storage, offset, size, and stride.

Parameters

• source (Tensor or Storage) – the tensor or storage to use

• storage_offset (int, optional) – the offset in the storage

• size (torch.Size, optional) – the desired size. Defaults to the size of the source.

• stride (tuple, optional) – the desired stride. Defaults to C-contiguous strides.

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