# tensorplay.functional.bitwise_left_shift

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

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

Computes the left arithmetic shift of input by other bits.
The input tensor must be of integral type. This operator supports
[broadcasting to a common shape](/docs/notes/broadcasting.html#broadcasting-semantics) and
type promotion.

The operation applied is:

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

Parameters:

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

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

Keyword Arguments:

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

Example:

```
>>> tensorplay.bitwise_left_shift(tensorplay.tensor([-1, -2, 3], dtype=tensorplay.int8), tensorplay.tensor([1, 0, 3], dtype=tensorplay.int8))
tensor([-2, -2, 24], dtype=tensorplay.int8)
```