.. _l-onnx-doc-Cosh: ==== Cosh ==== .. contents:: :local: .. _l-onnx-op-cosh-9: Cosh - 9 ======== **Version** * **name**: `Cosh (GitHub) `_ * **domain**: **main** * **since_version**: **9** * **function**: False * **support_level**: SupportType.COMMON * **shape inference**: True This version of the operator has been available **since version 9**. **Summary** Calculates the hyperbolic cosine of the given input tensor element-wise. **Inputs** * **input** (heterogeneous) - **T**: Input tensor **Outputs** * **output** (heterogeneous) - **T**: The hyperbolic cosine 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. **Examples** **default** :: node = onnx.helper.make_node( "Cosh", inputs=["x"], outputs=["y"], ) x = np.array([-1, 0, 1]).astype(np.float32) y = np.cosh(x) # expected output [1.54308069, 1., 1.54308069] expect(node, inputs=[x], outputs=[y], name="test_cosh_example") x = np.random.randn(3, 4, 5).astype(np.float32) y = np.cosh(x) expect(node, inputs=[x], outputs=[y], name="test_cosh")