Asinh¶

Asinh - 22¶

Version¶

name: Asinh (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 arcsine of the given input tensor element-wise.

Inputs¶

input (heterogeneous) - T:

Input tensor

Outputs¶

output (heterogeneous) - T:

The hyperbolic arcsine 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(
    "Asinh",
    inputs=["x"],
    outputs=["y"],
)

x = np.array([-1, 0, 1]).astype(np.float32)
y = np.arcsinh(x)  # expected output [-0.88137358,  0.,  0.88137358]
expect(node, inputs=[x], outputs=[y], name="test_asinh_example")

x = np.random.randn(3, 4, 5).astype(np.float32)
y = np.arcsinh(x)
expect(node, inputs=[x], outputs=[y], name="test_asinh")

Asinh - 9 vs 22

Asinh - 9¶

Version¶

name: Asinh (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 arcsine of the given input tensor element-wise.

Inputs¶

input (heterogeneous) - T:

Input tensor

Outputs¶

output (heterogeneous) - T:

The hyperbolic arcsine 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.