# tensorplay.functional.le

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

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

Computes $\text{input} \leq \text{other}$ element-wise.

The second argument can be a number or a tensor whose shape is
[broadcastable](/docs/notes/broadcasting.html#broadcasting-semantics) with the first argument.

Parameters:

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

- other ([Tensor](/docs/generated/tensorplay.Tensor.html#tensorplay.Tensor) or [Scalar](/docs/generated/tensorplay.Scalar.html#tensorplay.Scalar)) – the tensor or value to compare

Keyword Arguments:

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

Returns:

A boolean tensor that is True where input is less than or equal to
other and False elsewhere

Example:

```
>>> tensorplay.le(tensorplay.tensor([[1, 2], [3, 4]]), tensorplay.tensor([[1, 1], [4, 4]]))
tensor([[True, False], [True, True]])
```