# {py:mod}`evox.utils.jit_fix_operator`

```{py:module} evox.utils.jit_fix_operator
```

```{autodoc2-docstring} evox.utils.jit_fix_operator
:allowtitles:
```

## Module Contents

### Functions

````{list-table}
:class: autosummary longtable
:align: left

* - {py:obj}`switch <evox.utils.jit_fix_operator.switch>`
  - ```{autodoc2-docstring} evox.utils.jit_fix_operator.switch
    :summary:
    ```
* - {py:obj}`clamp <evox.utils.jit_fix_operator.clamp>`
  - ```{autodoc2-docstring} evox.utils.jit_fix_operator.clamp
    :summary:
    ```
* - {py:obj}`clamp_float <evox.utils.jit_fix_operator.clamp_float>`
  - ```{autodoc2-docstring} evox.utils.jit_fix_operator.clamp_float
    :summary:
    ```
* - {py:obj}`clamp_int <evox.utils.jit_fix_operator.clamp_int>`
  - ```{autodoc2-docstring} evox.utils.jit_fix_operator.clamp_int
    :summary:
    ```
* - {py:obj}`clip <evox.utils.jit_fix_operator.clip>`
  - ```{autodoc2-docstring} evox.utils.jit_fix_operator.clip
    :summary:
    ```
* - {py:obj}`maximum <evox.utils.jit_fix_operator.maximum>`
  - ```{autodoc2-docstring} evox.utils.jit_fix_operator.maximum
    :summary:
    ```
* - {py:obj}`minimum <evox.utils.jit_fix_operator.minimum>`
  - ```{autodoc2-docstring} evox.utils.jit_fix_operator.minimum
    :summary:
    ```
* - {py:obj}`maximum_float <evox.utils.jit_fix_operator.maximum_float>`
  - ```{autodoc2-docstring} evox.utils.jit_fix_operator.maximum_float
    :summary:
    ```
* - {py:obj}`minimum_float <evox.utils.jit_fix_operator.minimum_float>`
  - ```{autodoc2-docstring} evox.utils.jit_fix_operator.minimum_float
    :summary:
    ```
* - {py:obj}`maximum_int <evox.utils.jit_fix_operator.maximum_int>`
  - ```{autodoc2-docstring} evox.utils.jit_fix_operator.maximum_int
    :summary:
    ```
* - {py:obj}`minimum_int <evox.utils.jit_fix_operator.minimum_int>`
  - ```{autodoc2-docstring} evox.utils.jit_fix_operator.minimum_int
    :summary:
    ```
* - {py:obj}`lexsort <evox.utils.jit_fix_operator.lexsort>`
  - ```{autodoc2-docstring} evox.utils.jit_fix_operator.lexsort
    :summary:
    ```
* - {py:obj}`nanmin <evox.utils.jit_fix_operator.nanmin>`
  - ```{autodoc2-docstring} evox.utils.jit_fix_operator.nanmin
    :summary:
    ```
* - {py:obj}`nanmax <evox.utils.jit_fix_operator.nanmax>`
  - ```{autodoc2-docstring} evox.utils.jit_fix_operator.nanmax
    :summary:
    ```
* - {py:obj}`randint <evox.utils.jit_fix_operator.randint>`
  - ```{autodoc2-docstring} evox.utils.jit_fix_operator.randint
    :summary:
    ```
````

### API

````{py:function} switch(label: torch.Tensor, values: typing.List[torch.Tensor]) -> torch.Tensor
:canonical: evox.utils.jit_fix_operator.switch

```{autodoc2-docstring} evox.utils.jit_fix_operator.switch
```
````

````{py:function} clamp(a: torch.Tensor, lb: torch.Tensor, ub: torch.Tensor) -> torch.Tensor
:canonical: evox.utils.jit_fix_operator.clamp

```{autodoc2-docstring} evox.utils.jit_fix_operator.clamp
```
````

````{py:function} clamp_float(a: torch.Tensor, lb: float, ub: float) -> torch.Tensor
:canonical: evox.utils.jit_fix_operator.clamp_float

```{autodoc2-docstring} evox.utils.jit_fix_operator.clamp_float
```
````

````{py:function} clamp_int(a: torch.Tensor, lb: int, ub: int) -> torch.Tensor
:canonical: evox.utils.jit_fix_operator.clamp_int

```{autodoc2-docstring} evox.utils.jit_fix_operator.clamp_int
```
````

````{py:function} clip(a: torch.Tensor) -> torch.Tensor
:canonical: evox.utils.jit_fix_operator.clip

```{autodoc2-docstring} evox.utils.jit_fix_operator.clip
```
````

````{py:function} maximum(a: torch.Tensor, b: torch.Tensor) -> torch.Tensor
:canonical: evox.utils.jit_fix_operator.maximum

```{autodoc2-docstring} evox.utils.jit_fix_operator.maximum
```
````

````{py:function} minimum(a: torch.Tensor, b: torch.Tensor) -> torch.Tensor
:canonical: evox.utils.jit_fix_operator.minimum

```{autodoc2-docstring} evox.utils.jit_fix_operator.minimum
```
````

````{py:function} maximum_float(a: torch.Tensor, b: float) -> torch.Tensor
:canonical: evox.utils.jit_fix_operator.maximum_float

```{autodoc2-docstring} evox.utils.jit_fix_operator.maximum_float
```
````

````{py:function} minimum_float(a: torch.Tensor, b: float) -> torch.Tensor
:canonical: evox.utils.jit_fix_operator.minimum_float

```{autodoc2-docstring} evox.utils.jit_fix_operator.minimum_float
```
````

````{py:function} maximum_int(a: torch.Tensor, b: int) -> torch.Tensor
:canonical: evox.utils.jit_fix_operator.maximum_int

```{autodoc2-docstring} evox.utils.jit_fix_operator.maximum_int
```
````

````{py:function} minimum_int(a: torch.Tensor, b: int) -> torch.Tensor
:canonical: evox.utils.jit_fix_operator.minimum_int

```{autodoc2-docstring} evox.utils.jit_fix_operator.minimum_int
```
````

````{py:function} lexsort(keys: typing.List[torch.Tensor], dim: int = -1) -> torch.Tensor
:canonical: evox.utils.jit_fix_operator.lexsort

```{autodoc2-docstring} evox.utils.jit_fix_operator.lexsort
```
````

````{py:function} nanmin(input_tensor: torch.Tensor, dim: int = -1, keepdim: bool = False)
:canonical: evox.utils.jit_fix_operator.nanmin

```{autodoc2-docstring} evox.utils.jit_fix_operator.nanmin
```
````

````{py:function} nanmax(input_tensor: torch.Tensor, dim: int = -1, keepdim: bool = False)
:canonical: evox.utils.jit_fix_operator.nanmax

```{autodoc2-docstring} evox.utils.jit_fix_operator.nanmax
```
````

````{py:function} randint(low: torch.Tensor | int | torch.SymInt, high: torch.Tensor | int | torch.SymInt, size: typing.Sequence[int | torch.SymInt] | torch.Size, dtype: torch.dtype | None = None, device: torch.device | None = None, generator: torch.Generator | None = None)
:canonical: evox.utils.jit_fix_operator.randint

```{autodoc2-docstring} evox.utils.jit_fix_operator.randint
```
````