torch.addcdiv — PyTorch 2.7 documentation (original) (raw)

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

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

Warning

Integer division with addcdiv is no longer supported, and in a future release 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.

outi=inputi+value×tensor1itensor2i\text{out}_i = \text{input}_i + \text{value} \times \frac{\text{tensor1}_i}{\text{tensor2}_i}

The shapes of input, tensor1, and tensor2 must bebroadcastable.

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 numerator tensor
• tensor2 (Tensor) – the denominator tensor

Keyword Arguments

• value (Number , optional) – multiplier for tensor1/tensor2\text{tensor1} / \text{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]])