torch.addcdiv#

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

Performs the element-wise division oftensor1 bytensor2,multiplies the result by the scalarvalue and adds it toinput.

Warning

Integer division with addcdiv is no longer supported, and in a futurerelease addcdiv will perform a true division of tensor1 and tensor2.The historic addcdiv behavior can be implemented as(input + value * torch.trunc(tensor1 / tensor2)).to(input.dtype)for integer inputs and as (input + value * tensor1 / tensor2) for float inputs.The future addcdiv behavior is just the latter implementation:(input + value * tensor1 / tensor2), for all dtypes.

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

The shapes ofinput,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 numerator tensor

• tensor2 (Tensor) – the denominator tensor

Keyword Arguments

• value (Number,optional) – multiplier for$\text{tensor1}\mathrm{/}\text{tensor2}$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.addcdiv(t,t1,t2,value=0.1)tensor([[-0.2312, -3.6496,  0.1312],        [-1.0428,  3.4292, -0.1030],        [-0.5369, -0.9829,  0.0430]])