torch.addcmul#

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

Performs the element-wise multiplication oftensor1bytensor2, multiplies the result by the scalarvalueand adds it toinput.

$${\text{out}}_i={\text{input}}_i+\text{value}\times {\text{tensor1}}_i\times {\text{tensor2}}_i$$outi​=inputi​+value×tensor1i​×tensor2i​

The shapes oftensor,tensor1, andtensor2 must bebroadcastable.

For inputs of typeFloatTensor orDoubleTensor,value must bea 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$tensor1.\ast tensor2$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]])