.. _l-onnx-doc-Tanh: ==== Tanh ==== .. contents:: :local: .. _l-onnx-op-tanh-13: Tanh - 13 ========= **Version** * **name**: `Tanh (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 hyperbolic tangent of the given input tensor element-wise. **Inputs** * **input** (heterogeneous) - **T**: Input tensor **Outputs** * **output** (heterogeneous) - **T**: The hyperbolic tangent 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** :: node = onnx.helper.make_node( 'Tanh', inputs=['x'], outputs=['y'], ) x = np.array([-1, 0, 1]).astype(np.float32) y = np.tanh(x) # expected output [-0.76159418, 0., 0.76159418] expect(node, inputs=[x], outputs=[y], name='test_tanh_example') x = np.random.randn(3, 4, 5).astype(np.float32) y = np.tanh(x) expect(node, inputs=[x], outputs=[y], name='test_tanh') **Differences** .. raw:: html
 `0` `0` `Calculates the hyperbolic tangent of the given input tensor element-wise.` `Calculates the hyperbolic tangent 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 hyperbolic tangent values of the input tensor computed element-` ` The hyperbolic tangent values of the input tensor computed element-` `11` `11` ` wise` ` wise` `12` `12` `13` `13` `**Type Constraints**` `**Type Constraints**` `14` `14` `15` `15` `* **T** in (` `* **T** in (` `16` ` tensor(bfloat16),` `16` `17` ` tensor(double),` ` tensor(double),` `17` `18` ` tensor(float),` ` tensor(float),` `18` `19` ` tensor(float16)` ` tensor(float16)` `19` `20` ` ):` ` ):` `20` `21` ` Constrain input and output types to float tensors.` ` Constrain input and output types to float tensors.`
.. _l-onnx-op-tanh-6: Tanh - 6 ======== **Version** * **name**: `Tanh (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 hyperbolic tangent of the given input tensor element-wise. **Inputs** * **input** (heterogeneous) - **T**: Input tensor **Outputs** * **output** (heterogeneous) - **T**: The hyperbolic tangent 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. **Differences** .. raw:: html
 `0` `0` `Calculates the hyperbolic tangent of the given input tensor element-wise.` `Calculates the hyperbolic tangent 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` ` 1-D input tensor` ` Input tensor` `11` `6` `12` `7` `**Outputs**` `**Outputs**` `13` `8` `14` `9` `* **output** (heterogeneous) - **T**:` `* **output** (heterogeneous) - **T**:` `15` `10` ` The hyperbolic tangent values of the input tensor computed element-` ` The hyperbolic tangent values of the input tensor computed element-` `16` `11` ` wise` ` wise` `17` `12` `18` `13` `**Type Constraints**` `**Type Constraints**` `19` `14` `20` `15` `* **T** in (` `* **T** in (` `21` `16` ` tensor(double),` ` tensor(double),` `22` `17` ` tensor(float),` ` tensor(float),` `23` `18` ` tensor(float16)` ` tensor(float16)` `24` `19` ` ):` ` ):` `25` `20` ` Constrain input and output types to float tensors.` ` Constrain input and output types to float tensors.`
.. _l-onnx-op-tanh-1: Tanh - 1 ======== **Version** * **name**: `Tanh (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 hyperbolic tangent of the given input tensor element-wise. **Attributes** * **consumed_inputs**: legacy optimization attribute. **Inputs** * **input** (heterogeneous) - **T**: 1-D input tensor **Outputs** * **output** (heterogeneous) - **T**: The hyperbolic tangent 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.