# tensorplay.functional.mul

Source: https://www.tensorplay.cn/docs/generated/tensorplay.functional.mul.html

```python
tensorplay.functional.mul(input, other, *, out=None) → Tensor
```

Multiplies input by other.

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

Supports [broadcasting to a common shape](/docs/notes/broadcasting.html#broadcasting-semantics),
type promotion, and integer, float, and complex inputs.

Parameters:

- input ([Tensor](/docs/generated/tensorplay.Tensor.html#tensorplay.Tensor)) – the input tensor.

- other ([Tensor](/docs/generated/tensorplay.Tensor.html#tensorplay.Tensor) or Number) – the tensor or number to multiply input by.

Keyword Arguments:

out ([Tensor](/docs/generated/tensorplay.Tensor.html#tensorplay.Tensor), optional) – the output tensor.

Examples:

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

>>> b = tensorplay.randn(4, 1)
>>> b
tensor([[ 1.1207],
        [-0.3137],
        [ 0.0700],
        [ 0.8378]])
>>> c = tensorplay.randn(1, 4)
>>> c
tensor([[ 0.5146,  0.1216, -0.5244,  2.2382]])
>>> tensorplay.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]])
```