# tensorplay.functional.isclose

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

```python
tensorplay.functional.isclose(input, other, rtol=1e-05, atol=1e-08, equal_nan=False) → Tensor
```

Returns a new tensor with boolean elements representing if each element of
input is “close” to the corresponding element of other.
Closeness is defined as:

$$\lvert \text{input}_i - \text{other}_i \rvert \leq \texttt{rtol} \times \lvert \text{other}_i \rvert + \texttt{atol}$$

where input and other are finite. Where input
and/or other are nonfinite they are close if and only if
they are equal, with NaNs being considered equal to each other when
equal_nan is True.

Parameters:

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

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

- rtol ([float](https://docs.python.org/3/builtins/functions.html#float), optional) – relative tolerance. Default: 1e-05

- atol ([float](https://docs.python.org/3/builtins/functions.html#float), optional) – absolute tolerance. Default: 1e-08

- equal_nan ([bool](https://docs.python.org/3/builtins/functions.html#bool), optional) – if True, then two NaN s will be considered equal. Default: False

Examples:

```
>>> tensorplay.isclose(tensorplay.tensor((1., 2, 3)), tensorplay.tensor((1 + 1e-10, 3, 4)))
tensor([ True, False, False])
>>> tensorplay.isclose(tensorplay.tensor((float('inf'), 4)), tensorplay.tensor((float('inf'), 6)), rtol=.5)
tensor([True, True])
```