(l-onnx-doc-Acosh)=

# Acosh


(l-onnx-op-acosh-22)=

## Acosh - 22

### Version

- **name**: [Acosh (GitHub)](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Acosh)
- **domain**: `main`
- **since_version**: `22`
- **function**: `False`
- **support_level**: `SupportType.COMMON`
- **shape inference**: `True`

This version of the operator has been available
**since version 22**.

### Summary

Calculates the hyperbolic arccosine of the given input tensor element-wise.

### Inputs

- **input** (heterogeneous) - **T**:

  Input tensor

### Outputs

- **output** (heterogeneous) - **T**:

  The hyperbolic arccosine values of the input tensor computed element-wise

### Type Constraints

* **T** in ( `tensor(bfloat16)`, `tensor(double)`, `tensor(float)`, `tensor(float16)` ):

  Constrain input and output types to float tensors.

### Examples

#### default

```python
import numpy as np
import onnx

node = onnx.helper.make_node(
    "Acosh",
    inputs=["x"],
    outputs=["y"],
)

x = np.array([10, np.e, 1]).astype(np.float32)
y = np.arccosh(x)  # expected output [2.99322295,  1.65745449,  0.]
expect(node, inputs=[x], outputs=[y], name="test_acosh_example")

x = np.random.uniform(1.0, 10.0, (3, 4, 5)).astype(np.float32)
y = np.arccosh(x)
expect(node, inputs=[x], outputs=[y], name="test_acosh")
```

```{toctree}
text_diff_Acosh_9_22
```

(l-onnx-op-acosh-9)=

## Acosh - 9

### Version

- **name**: [Acosh (GitHub)](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Acosh)
- **domain**: `main`
- **since_version**: `9`
- **function**: `False`
- **support_level**: `SupportType.COMMON`
- **shape inference**: `True`

This version of the operator has been available
**since version 9**.

### Summary

Calculates the hyperbolic arccosine of the given input tensor element-wise.

### Inputs

- **input** (heterogeneous) - **T**:

  Input tensor

### Outputs

- **output** (heterogeneous) - **T**:

  The hyperbolic arccosine values of the input tensor computed element-wise

### Type Constraints

* **T** in ( `tensor(double)`, `tensor(float)`, `tensor(float16)` ):

  Constrain input and output types to float tensors.