Log#

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

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.

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

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.

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.