torch.addcmul

torch.addcmul(input, tensor1, tensor2, *, value=1, out=None) → Tensor

Performs the element-wise multiplication of tensor1 by tensor2, multiplies the result by the scalar value and adds it to input.

$$\text{out}_i = \text{input}_i + \text{value} \times \text{tensor1}_i \times \text{tensor2}_i$$

The shapes of tensor, tensor1, and tensor2 must be broadcastable.

For inputs of type FloatTensor or DoubleTensor, value must be a real number, otherwise an integer.

Parameters:

• input (Tensor) – the tensor to be added

• tensor1 (Tensor) – the tensor to be multiplied

• tensor2 (Tensor) – the tensor to be multiplied

Keyword Arguments:

• value (Number, optional) – multiplier for $tensor1 .* tensor2$

• out (Tensor, optional) – the output tensor.

Example:

>>> t = torch.randn(1, 3)
>>> t1 = torch.randn(3, 1)
>>> t2 = torch.randn(1, 3)
>>> torch.addcmul(t, t1, t2, value=0.1)
tensor([[-0.8635, -0.6391,  1.6174],
        [-0.7617, -0.5879,  1.7388],
        [-0.8353, -0.6249,  1.6511]])