(l-onnx-doc-Tanh)= # Tanh (l-onnx-op-tanh-13)= ## Tanh - 13 ### Version - **name**: [Tanh (GitHub)](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Tanh) - **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. ```{toctree} text_diff_Tanh_6_13 ``` (l-onnx-op-tanh-6)= ## Tanh - 6 ### Version - **name**: [Tanh (GitHub)](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Tanh) - **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. ```{toctree} text_diff_Tanh_1_13 text_diff_Tanh_1_6 ``` (l-onnx-op-tanh-1)= ## Tanh - 1 ### Version - **name**: [Tanh (GitHub)](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Tanh) - **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 - INTS** : 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.