simulation.utils.machine_learning.models.test package¶
Submodules¶
simulation.utils.machine_learning.models.test.test_helper module¶
Functions:
Check if |
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Check if |
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Check if |
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Check if |
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simulation.utils.machine_learning.models.test.test_resnet_block module¶
Functions:
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simulation.utils.machine_learning.models.test.test_resnet_generator module¶
Functions:
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simulation.utils.machine_learning.models.test.test_wgan_critic module¶
Perform some basic tests for the WGAN critic.
Functions:
Testing very basic functionality of optimizing. |
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- test_optimization_step()[source]¶
Testing very basic functionality of optimizing.
Testing if the optimization works is hard. Here, some very basic things are tested:
Does the wasserstein distance increase when running the optimization?
- Is the distance close to zero, if random distributions are given
and the generator is the identity?
Is the generator unchanged?