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: 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.