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Showing content from https://docs.pytorch.org/docs/stable/generated/torch.mul.html below:

torch.mul — PyTorch 2.7 documentation

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

Multiplies input by other.

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

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

Parameters

• input (Tensor) – the input tensor.

• other (Tensor or Number) –

Keyword Arguments

out (Tensor, optional) – the output tensor.

Examples:

>>> a = torch.randn(3)
>>> a
tensor([ 0.2015, -0.4255,  2.6087])
>>> torch.mul(a, 100)
tensor([  20.1494,  -42.5491,  260.8663])

>>> b = torch.randn(4, 1)
>>> b
tensor([[ 1.1207],
        [-0.3137],
        [ 0.0700],
        [ 0.8378]])
>>> c = torch.randn(1, 4)
>>> c
tensor([[ 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]])

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