Exp

Exp - 13

Version

  • name: Exp (GitHub)

  • domain: main

  • since_version: 13

  • function: False

  • support_level: SupportType.COMMON

  • shape inference: True

This version of the operator has been available since version 13.

Summary

Calculates the exponential of the given input tensor, element-wise.

Inputs

  • input (heterogeneous) - T:

    Input tensor

Outputs

  • output (heterogeneous) - T:

    The exponential 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(
    "Exp",
    inputs=["x"],
    outputs=["y"],
)

x = np.array([-1, 0, 1]).astype(np.float32)
y = np.exp(x)  # expected output [0.36787945, 1., 2.71828175]
expect(node, inputs=[x], outputs=[y], name="test_exp_example")

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

Exp - 6

Version

  • name: Exp (GitHub)

  • domain: main

  • since_version: 6

  • function: False

  • support_level: SupportType.COMMON

  • shape inference: True

This version of the operator has been available since version 6.

Summary

Calculates the exponential of the given input tensor, element-wise.

Inputs

  • input (heterogeneous) - T:

    Input tensor

Outputs

  • output (heterogeneous) - T:

    The exponential 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.

Exp - 1

Version

  • name: Exp (GitHub)

  • domain: main

  • since_version: 1

  • function: False

  • support_level: SupportType.COMMON

  • shape inference: False

This version of the operator has been available since version 1.

Summary

Calculates the exponential of the given input tensor, element-wise.

Attributes

  • consumed_inputs - INTS :

    legacy optimization attribute.

Inputs

  • input (heterogeneous) - T:

    Input tensor

Outputs

  • output (heterogeneous) - T:

    The exponential 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.