torch.mul

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

將 input 與 other 相乘。

$$\text{out}_i = \text{input}_i \times \text{other}_i$$

支援廣播到公共形狀、型別提升以及整數、浮點數和複數輸入。

引數

• input (Tensor) – 輸入張量。

• other (Tensor 或 Number) –

關鍵字引數

out (Tensor, 可選的) – 輸出張量。

示例

>>> 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]])