# tensorplay.functional.allclose

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

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

This function checks if input and other satisfy the condition:

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

elementwise, for all elements of input and other. The behaviour of this function is analogous to
[numpy.allclose](https://numpy.org/doc/stable/reference/generated/numpy.allclose.html)

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

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

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

- 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

Example:

```
>>> tensorplay.allclose(tensorplay.tensor([10000., 1e-07]), tensorplay.tensor([10000.1, 1e-08]))
False
>>> tensorplay.allclose(tensorplay.tensor([10000., 1e-08]), tensorplay.tensor([10000.1, 1e-09]))
True
>>> tensorplay.allclose(tensorplay.tensor([1.0, float('nan')]), tensorplay.tensor([1.0, float('nan')]))
False
>>> tensorplay.allclose(tensorplay.tensor([1.0, float('nan')]), tensorplay.tensor([1.0, float('nan')]), equal_nan=True)
True
```