.. _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
00Calculates the hyperbolic tangent of the given input tensor element-wise.Calculates the hyperbolic tangent of the given input tensor element-wise.
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22**Inputs****Inputs**
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44* **input** (heterogeneous) - **T**:* **input** (heterogeneous) - **T**:
55 Input tensor Input tensor
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77**Outputs****Outputs**
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99* **output** (heterogeneous) - **T**:* **output** (heterogeneous) - **T**:
1010 The hyperbolic tangent values of the input tensor computed element- The hyperbolic tangent values of the input tensor computed element-
1111 wise wise
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1313**Type Constraints****Type Constraints**
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1515* **T** in (* **T** in (
16 tensor(bfloat16),
1617 tensor(double), tensor(double),
1718 tensor(float), tensor(float),
1819 tensor(float16) tensor(float16)
1920 ): ):
2021 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
00Calculates the hyperbolic tangent of the given input tensor element-wise.Calculates the hyperbolic tangent of the given input tensor element-wise.
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2**Attributes**
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4* **consumed_inputs**:
5 legacy optimization attribute.
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72**Inputs****Inputs**
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94* **input** (heterogeneous) - **T**:* **input** (heterogeneous) - **T**:
105 1-D input tensor Input tensor
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127**Outputs****Outputs**
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149* **output** (heterogeneous) - **T**:* **output** (heterogeneous) - **T**:
1510 The hyperbolic tangent values of the input tensor computed element- The hyperbolic tangent values of the input tensor computed element-
1611 wise wise
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1813**Type Constraints****Type Constraints**
1914
2015* **T** in (* **T** in (
2116 tensor(double), tensor(double),
2217 tensor(float), tensor(float),
2318 tensor(float16) tensor(float16)
2419 ): ):
2520 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.