addmm¶

paddle. addmm ( input, x, y, beta=1.0, alpha=1.0, name=None ) [source]

addmm

Perform matrix multiplication for input $x$ and $y$. $input$ is added to the final result. The equation is:

$$Out = alpha * x * y + beta * input$$

$Input$, $x$ and $y$ can carry the LoD (Level of Details) information, or not. But the output only shares the LoD information with input $input$.

Parameters

• 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, optional) – Name for the operation (optional, default is None). For more information, please refer to Name.

Returns

The output Tensor of addmm.

Return type

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)
# [[10.5 10.5]
# [10.5 10.5]]