.. _l-onnx-doc-Log: === Log === .. contents:: :local: .. _l-onnx-op-log-13: Log - 13 ======== **Version** * **name**: `Log (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 natural log of the given input tensor, element-wise. **Inputs** * **input** (heterogeneous) - **T**: Input tensor **Outputs** * **output** (heterogeneous) - **T**: The natural log 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( "Log", inputs=["x"], outputs=["y"], ) x = np.array([1, 10]).astype(np.float32) y = np.log(x) # expected output [0., 2.30258512] expect(node, inputs=[x], outputs=[y], name="test_log_example") x = np.exp(np.random.randn(3, 4, 5).astype(np.float32)) y = np.log(x) expect(node, inputs=[x], outputs=[y], name="test_log") **Differences** .. raw:: html
00Calculates the natural log of the given input tensor, element-wise.Calculates the natural log of the given input tensor, element-wise.
11
22**Inputs****Inputs**
33
44* **input** (heterogeneous) - **T**:* **input** (heterogeneous) - **T**:
55 Input tensor Input tensor
66
77**Outputs****Outputs**
88
99* **output** (heterogeneous) - **T**:* **output** (heterogeneous) - **T**:
1010 The natural log of the input tensor computed element-wise The natural log of the input tensor computed element-wise
1111
1212**Type Constraints****Type Constraints**
1313
1414* **T** in (* **T** in (
15 tensor(bfloat16),
1516 tensor(double), tensor(double),
1617 tensor(float), tensor(float),
1718 tensor(float16) tensor(float16)
1819 ): ):
1920 Constrain input and output types to float tensors. Constrain input and output types to float tensors.
.. _l-onnx-op-log-6: Log - 6 ======= **Version** * **name**: `Log (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 natural log of the given input tensor, element-wise. **Inputs** * **input** (heterogeneous) - **T**: Input tensor **Outputs** * **output** (heterogeneous) - **T**: The natural log 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 natural log of the given input tensor, element-wise.Calculates the natural log of the given input tensor, element-wise.
11
2**Attributes**
3
4* **consumed_inputs**:
5 legacy optimization attribute.
6
72**Inputs****Inputs**
83
94* **input** (heterogeneous) - **T**:* **input** (heterogeneous) - **T**:
105 Input tensor Input tensor
116
127**Outputs****Outputs**
138
149* **output** (heterogeneous) - **T**:* **output** (heterogeneous) - **T**:
1510 The natural log of the input tensor computed element-wise The natural log of the input tensor computed element-wise
1611
1712**Type Constraints****Type Constraints**
1813
1914* **T** in (* **T** in (
2015 tensor(double), tensor(double),
2116 tensor(float), tensor(float),
2217 tensor(float16) tensor(float16)
2318 ): ):
2419 Constrain input and output types to float tensors. Constrain input and output types to float tensors.
.. _l-onnx-op-log-1: Log - 1 ======= **Version** * **name**: `Log (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 natural log of the given input tensor, element-wise. **Attributes** * **consumed_inputs**: legacy optimization attribute. **Inputs** * **input** (heterogeneous) - **T**: Input tensor **Outputs** * **output** (heterogeneous) - **T**: The natural log 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.