Acosh¶

Acosh - 22¶

Version¶

name: Acosh (GitHub)
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¶

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")

Acosh - 9 vs 22

Acosh - 9¶

Version¶

name: Acosh (GitHub)
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.