# tensorplay.hspmm

Source: https://www.tensorplay.cn/docs/generated/tensorplay.hspmm.html

```python
tensorplay.hspmm(mat1, mat2, *, out=None) → Tensor
```

Performs a matrix multiplication of a [sparse COO matrix](/docs/sparse.html#sparse-coo-docs) mat1 and a strided matrix mat2. The
result is a (1 + 1)-dimensional [hybrid COO matrix](/docs/sparse.html#sparse-hybrid-coo-docs).

Parameters:

- mat1 ([Tensor](/docs/generated/tensorplay.Tensor.html#tensorplay.Tensor)) – the first sparse matrix to be matrix multiplied

- mat2 ([Tensor](/docs/generated/tensorplay.Tensor.html#tensorplay.Tensor)) – the second strided matrix to be matrix multiplied

Keyword Arguments:

out ([Tensor](/docs/generated/tensorplay.Tensor.html#tensorplay.Tensor), optional) – the output tensor.