addmm¶
- paddle. addmm ( input: Tensor, x: Tensor, y: Tensor, beta: float = 1.0, alpha: float = 1.0, name: str | None = None ) Tensor [source]
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addmm
Perform matrix multiplication for input x and y. input is added to the final result. The equation is:
Out=alpha∗x∗y+beta∗inputInput, x and y can carry the LoD (Level of Details) information, or not. But the output only shares the LoD information with input input.
- Parameters
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input (Tensor) – The input Tensor to be added to the final result.
x (Tensor) – The first input Tensor for matrix multiplication.
y (Tensor) – The second input Tensor for matrix multiplication.
beta (float, optional) – Coefficient of input, default is 1.
alpha (float, optional) – Coefficient of x∗y, default is 1.
name (str|None, optional) – Name for the operation (optional, default is None). For more information, please refer to Name.
- Returns
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The output Tensor of addmm.
- Return type
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Tensor
Examples
>>> import paddle >>> x = paddle.ones([2, 2]) >>> y = paddle.ones([2, 2]) >>> input = paddle.ones([2, 2]) >>> out = paddle.addmm(input=input, x=x, y=y, beta=0.5, alpha=5.0) >>> print(out) Tensor(shape=[2, 2], dtype=float32, place=Place(cpu), stop_gradient=True, [[10.50000000, 10.50000000], [10.50000000, 10.50000000]])