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torch.mul#

torch.mul(input,other,*,out=None)→Tensor#

Multipliesinput byother.

outi=inputi×otheri\text{out}_i = \text{input}_i \times \text{other}_i

Supportsbroadcasting to a common shape,type promotion, and integer, float, and complex inputs.

Parameters

  • input (Tensor) – the input tensor.

  • other (Tensor orNumber) – the tensor or number to multiply input by.

Keyword Arguments

out (Tensor,optional) – the output tensor.

Examples:

>>>a=torch.randn(3)>>>atensor([ 0.2015, -0.4255,  2.6087])>>>torch.mul(a,100)tensor([  20.1494,  -42.5491,  260.8663])>>>b=torch.randn(4,1)>>>btensor([[ 1.1207],        [-0.3137],        [ 0.0700],        [ 0.8378]])>>>c=torch.randn(1,4)>>>ctensor([[ 0.5146,  0.1216, -0.5244,  2.2382]])>>>torch.mul(b,c)tensor([[ 0.5767,  0.1363, -0.5877,  2.5083],        [-0.1614, -0.0382,  0.1645, -0.7021],        [ 0.0360,  0.0085, -0.0367,  0.1567],        [ 0.4312,  0.1019, -0.4394,  1.8753]])