torch / torch
torch.addcmul¶
-
torch.
addcmul
(input, tensor1, tensor2, *, value=1, out=None) → Tensor¶ Performs the element-wise multiplication of
tensor1
bytensor2
, multiply the result by the scalarvalue
and add it toinput
.The shapes of
tensor
,tensor1
, andtensor2
must be broadcastable.For inputs of type FloatTensor or DoubleTensor,
value
must be a real number, otherwise an integer.- Parameters
- Keyword Arguments
value (Number, optional) – multiplier for
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]])
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