autora.theorist.darts.operations
Cosine
Bases: Module
A pytorch module implementing the cosine function.
Source code in temp_dir/darts/src/autora/theorist/darts/operations.py
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__init__()
Initializes the cosine function.
Source code in temp_dir/darts/src/autora/theorist/darts/operations.py
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forward(x)
Forward pass of the cosine function.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
x
|
Tensor
|
input tensor |
required |
Source code in temp_dir/darts/src/autora/theorist/darts/operations.py
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Exponential
Bases: Module
A pytorch module implementing the exponential function.
Source code in temp_dir/darts/src/autora/theorist/darts/operations.py
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__init__()
Initializes the exponential function.
Source code in temp_dir/darts/src/autora/theorist/darts/operations.py
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forward(x)
Forward pass of the exponential function.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
x
|
Tensor
|
input tensor |
required |
Source code in temp_dir/darts/src/autora/theorist/darts/operations.py
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Identity
Bases: Module
A pytorch module implementing the identity function.
Source code in temp_dir/darts/src/autora/theorist/darts/operations.py
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__init__()
Initializes the identify function.
Source code in temp_dir/darts/src/autora/theorist/darts/operations.py
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forward(x)
Forward pass of the identity function.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
x
|
Tensor
|
input tensor |
required |
Source code in temp_dir/darts/src/autora/theorist/darts/operations.py
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MultInverse
Bases: Module
A pytorch module implementing the multiplicative inverse.
Source code in temp_dir/darts/src/autora/theorist/darts/operations.py
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__init__()
Initializes the multiplicative inverse.
Source code in temp_dir/darts/src/autora/theorist/darts/operations.py
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forward(x)
Forward pass of the multiplicative inverse.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
x
|
Tensor
|
input tensor |
required |
Source code in temp_dir/darts/src/autora/theorist/darts/operations.py
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NatLogarithm
Bases: Module
A pytorch module implementing the natural logarithm function.
Source code in temp_dir/darts/src/autora/theorist/darts/operations.py
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__init__()
Initializes the natural logarithm function.
Source code in temp_dir/darts/src/autora/theorist/darts/operations.py
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forward(x)
Forward pass of the natural logarithm function.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
x
|
Tensor
|
input tensor |
required |
Source code in temp_dir/darts/src/autora/theorist/darts/operations.py
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NegIdentity
Bases: Module
A pytorch module implementing the inverse of an identity function.
Source code in temp_dir/darts/src/autora/theorist/darts/operations.py
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__init__()
Initializes the inverse of an identity function.
Source code in temp_dir/darts/src/autora/theorist/darts/operations.py
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forward(x)
Forward pass of the inverse of an identity function.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
x
|
Tensor
|
input tensor |
required |
Source code in temp_dir/darts/src/autora/theorist/darts/operations.py
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Sine
Bases: Module
A pytorch module implementing the sine function.
Source code in temp_dir/darts/src/autora/theorist/darts/operations.py
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__init__()
Initializes the sine function.
Source code in temp_dir/darts/src/autora/theorist/darts/operations.py
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forward(x)
Forward pass of the sine function.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
x
|
Tensor
|
input tensor |
required |
Source code in temp_dir/darts/src/autora/theorist/darts/operations.py
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Softminus
Bases: Module
A pytorch module implementing the softminus function:
Source code in temp_dir/darts/src/autora/theorist/darts/operations.py
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__init__()
Initializes the softminus function.
Source code in temp_dir/darts/src/autora/theorist/darts/operations.py
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forward(x)
Forward pass of the softminus function.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
x
|
Tensor
|
input tensor |
required |
Source code in temp_dir/darts/src/autora/theorist/darts/operations.py
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Softplus
Bases: Module
A pytorch module implementing the softplus function:
Source code in temp_dir/darts/src/autora/theorist/darts/operations.py
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__init__()
Initializes the softplus function.
Source code in temp_dir/darts/src/autora/theorist/darts/operations.py
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forward(x)
Forward pass of the softplus function.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
x
|
Tensor
|
input tensor |
required |
Source code in temp_dir/darts/src/autora/theorist/darts/operations.py
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Tangens_Hyperbolicus
Bases: Module
A pytorch module implementing the tangens hyperbolicus function.
Source code in temp_dir/darts/src/autora/theorist/darts/operations.py
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__init__()
Initializes the tangens hyperbolicus function.
Source code in temp_dir/darts/src/autora/theorist/darts/operations.py
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forward(x)
Forward pass of the tangens hyperbolicus function.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
x
|
Tensor
|
input tensor |
required |
Source code in temp_dir/darts/src/autora/theorist/darts/operations.py
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Zero
Bases: Module
A pytorch module implementing the zero operation (i.e., a null operation). A zero operation presumes that there is no relationship between the input and output.
Source code in temp_dir/darts/src/autora/theorist/darts/operations.py
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__init__(stride)
Initializes the zero operation.
Source code in temp_dir/darts/src/autora/theorist/darts/operations.py
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forward(x)
Forward pass of the zero operation.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
x
|
Tensor
|
input tensor |
required |
Source code in temp_dir/darts/src/autora/theorist/darts/operations.py
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get_operation_label(op_name, params_org, decimals=4, input_var='x', output_format='console')
Returns a complete string describing a DARTS operation.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
op_name
|
str
|
name of the operation |
required |
params_org
|
List
|
original parameters of the operation |
required |
decimals
|
int
|
number of decimals to be used for converting the parameters into string format |
4
|
input_var
|
str
|
name of the input variable |
'x'
|
output_format
|
Literal['latex', 'console']
|
format of the output string (either "latex" or "console") |
'console'
|
Examples:
>>> get_operation_label("classifier", [1], decimals=2)
'1.00 * x'
>>> import numpy as np
>>> print(get_operation_label("classifier_concat", np.array([1, 2, 3]),
... decimals=2, output_format="latex"))
x \circ \left(1.00\right) + \left(2.00\right) + \left(3.00\right)
>>> get_operation_label("classifier_concat", np.array([1, 2, 3]),
... decimals=2, output_format="console")
'x .* (1.00) .+ (2.00) .+ (3.00)'
>>> get_operation_label("linear_exp", [1,2], decimals=2)
'exp(1.00 * x + 2.00)'
>>> get_operation_label("none", [])
''
>>> get_operation_label("reciprocal", [1], decimals=0)
'1 / x'
>>> get_operation_label("linear_reciprocal", [1, 2], decimals=0)
'1 / (1 * x + 2)'
>>> get_operation_label("linear_relu", [1], decimals=0)
'ReLU(1 * x)'
>>> print(get_operation_label("linear_relu", [1], decimals=0, output_format="latex"))
\operatorname{ReLU}\left(1x\right)
>>> get_operation_label("linear", [1, 2], decimals=0)
'1 * x + 2'
>>> get_operation_label("linear", [1, 2], decimals=0, output_format="latex")
'1 x + 2'
>>> get_operation_label("linrelu", [1], decimals=0) # Mistyped operation name
Traceback (most recent call last):
...
NotImplementedError: operation 'linrelu' is not defined for output_format 'console'
Source code in temp_dir/darts/src/autora/theorist/darts/operations.py
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isiterable(p_object)
Checks if an object is iterable.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
p_object
|
Any
|
object to be checked |
required |
Source code in temp_dir/darts/src/autora/theorist/darts/operations.py
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