.. _l-onnx-doc-Exp: === Exp === .. contents:: :local: .. _l-onnx-op-exp-13: 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** :: 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') **Differences** .. raw:: html
 `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.`
.. _l-onnx-op-exp-6: 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** .. raw:: html
 `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.`
.. _l-onnx-op-exp-1: 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.