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
Differences
0 | 0 | Calculates the exponential of the given input tensor, element-wise. | Calculates the exponential of the given input tensor, element-wise. |
1 | 1 | | |
2 | 2 | **Inputs** | **Inputs** |
3 | 3 | | |
4 | 4 | * **input** (heterogeneous) - **T**: | * **input** (heterogeneous) - **T**: |
5 | 5 | Input tensor | Input tensor |
6 | 6 | | |
7 | 7 | **Outputs** | **Outputs** |
8 | 8 | | |
9 | 9 | * **output** (heterogeneous) - **T**: | * **output** (heterogeneous) - **T**: |
10 | 10 | The exponential of the input tensor computed element-wise | The exponential of the input tensor computed element-wise |
11 | 11 | | |
12 | 12 | **Type Constraints** | **Type Constraints** |
13 | 13 | | |
14 | 14 | * **T** in ( | * **T** in ( |
15 | tensor(bfloat16), | ||
15 | 16 | tensor(double), | tensor(double), |
16 | 17 | tensor(float), | tensor(float), |
17 | 18 | tensor(float16) | tensor(float16) |
18 | 19 | ): | ): |
19 | 20 | Constrain input and output types to float tensors. | Constrain input and output types to float tensors. |
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.
Differences
0 | 0 | Calculates the exponential of the given input tensor, element-wise. | Calculates the exponential of the given input tensor, element-wise. |
1 | 1 | | |
2 | **Attributes** | ||
3 | | ||
4 | * **consumed_inputs**: | ||
5 | legacy optimization attribute. | ||
6 | | ||
7 | 2 | **Inputs** | **Inputs** |
8 | 3 | | |
9 | 4 | * **input** (heterogeneous) - **T**: | * **input** (heterogeneous) - **T**: |
10 | 5 | Input tensor | Input tensor |
11 | 6 | | |
12 | 7 | **Outputs** | **Outputs** |
13 | 8 | | |
14 | 9 | * **output** (heterogeneous) - **T**: | * **output** (heterogeneous) - **T**: |
15 | 10 | The exponential of the input tensor computed element-wise | The exponential of the input tensor computed element-wise |
16 | 11 | | |
17 | 12 | **Type Constraints** | **Type Constraints** |
18 | 13 | | |
19 | 14 | * **T** in ( | * **T** in ( |
20 | 15 | tensor(double), | tensor(double), |
21 | 16 | tensor(float), | tensor(float), |
22 | 17 | tensor(float16) | tensor(float16) |
23 | 18 | ): | ): |
24 | 19 | Constrain input and output types to float tensors. | 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.