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.
out i = input i + value × tensor1 i tensor2 i \text{out}_i = \text{input}_i + \text{value} \times \frac{\text{tensor1}_i}{\text{tensor2}_i} outi=inputi+value×tensor2itensor1i
The shapes of input, tensor1, and tensor2 must be broadcastable.
For inputs of type FloatTensor or DoubleTensor, value must be a real number, otherwise an integer.
value (Number, optional) – multiplier for tensor1 / tensor2 \text{tensor1} / \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]])
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