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torch.hspmm

torch.hspmm(mat1, mat2, *, out=None) → Tensor

Performs a matrix multiplication of a sparse COO matrix mat1 and a strided matrix mat2. The result is a (1 + 1)-dimensional hybrid COO matrix.

Parameters:
  • mat1 (Tensor) – the first sparse matrix to be matrix multiplied
  • mat2 (Tensor) – the second strided matrix to be matrix multiplied
Keyword Arguments:

out (Tensor, optional) – the output tensor.

© 2024, PyTorch Contributors
PyTorch has a BSD-style license, as found in the LICENSE file.
https://pytorch.org/docs/1.13/generated/torch.hspmm.html

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