mindspore.ops.bmm

mindspore.ops.bmm(input_x, mat2)[source]

Perform a batch matrix-matrix product of matrices in input tensors.

\[\text{output}[..., :, :] = \text{matrix}(input_x[..., :, :]) * \text{matrix}(mat2[..., :, :])\]

The dim of input_x can not be less than 3 and the dim of mat2 can not be less than 2.

Parameters

input_x (Tensor) – The first tensor to be multiplied.
mat2 (Tensor) – The second tensor to be multiplied.

Returns

Tensor

Supported Platforms:: Ascend GPU CPU

Examples

>>> import mindspore
>>> input_x = mindspore.ops.arange(24, dtype=mindspore.float32).reshape(2, 4, 1, 3)
>>> mat2 = mindspore.ops.arange(72, dtype=mindspore.float32).reshape(2, 4, 3, 3)
>>> out = mindspore.ops.bmm(input_x, mat2)
>>> print(out)
[[[[  15.   18.   21.]]
  [[ 150.  162.  174.]]
  [[ 447.  468.  489.]]
  [[ 906.  936.  966.]]]
 [[[1527. 1566. 1605.]]
  [[2310. 2358. 2406.]]
  [[3255. 3312. 3369.]]
  [[4362. 4428. 4494.]]]]