declearn.test_utils.GradientsTestCase
Framework-parametrized Vector instances provider for testing purposes.
This class aims at providing with seeded random or zero-valued Vector instances (with deterministic specifications) that may be used in the context of unit tests.
Source code in declearn/test_utils/_vectors.py
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mock_gradient: Vector
property
Instantiate a Vector with random-valued mock gradients.
Note: the RNG used to generate gradients has a fixed seed, to that gradients have the same values whatever the tensor framework used is.
mock_ones: Vector
property
Instantiate a Vector with random-valued mock gradients.
Note: the RNG used to generate gradients has a fixed seed, to that gradients have the same values whatever the tensor framework used is.
mock_zeros: Vector
property
Instantiate a Vector with random-valued mock gradients.
Note: the RNG used to generate gradients has a fixed seed, to that gradients have the same values whatever the tensor framework used is.
vector_cls: Type[Vector]
property
Vector subclass suitable to the tested framework.
__init__(framework, seed=0)
Instantiate the parametrized test-case.
Source code in declearn/test_utils/_vectors.py
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convert(array)
Convert an input numpy array to a framework-based structure.
Source code in declearn/test_utils/_vectors.py
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to_numpy(array)
Convert an input framework-based structure to a numpy array.
Source code in declearn/test_utils/_vectors.py
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