bmm¶

paddle. bmm ( x, y, name=None ) [source]

Applies batched matrix multiplication to two tensors.

Both of the two input tensors must be three-dementional and share the same batch size.

If x is a (b, m, k) tensor, y is a (b, k, n) tensor, the output will be a (b, m, n) tensor.

Parameters

• x (Tensor) – The input Tensor.

• y (Tensor) – The input Tensor.

• name (str|None) – A name for this layer(optional). If set None, the layer will be named automatically. Default: None.

Returns

The product Tensor.

Return type

Tensor

Examples

>>> import paddle

>>> # In imperative mode:
>>> # size x: (2, 2, 3) and y: (2, 3, 2)
>>> x = paddle.to_tensor([[[1.0, 1.0, 1.0],
...                     [2.0, 2.0, 2.0]],
...                     [[3.0, 3.0, 3.0],
...                     [4.0, 4.0, 4.0]]])
>>> y = paddle.to_tensor([[[1.0, 1.0],[2.0, 2.0],[3.0, 3.0]],
...                     [[4.0, 4.0],[5.0, 5.0],[6.0, 6.0]]])
>>> out = paddle.bmm(x, y)
>>> print(out)
Tensor(shape=[2, 2, 2], dtype=float32, place=Place(cpu), stop_gradient=True,
[[[6. , 6. ],
  [12., 12.]],
 [[45., 45.],
  [60., 60.]]])