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* Remove PlaidML reference from readme files * Remove AMD option from installers * remove amd requirements and update setup.py * remove plaidml test from CI workflow * gpustats: remove plaidml backend * plaid removals: - faceswap.py - python version check - setup.cfg - plaidml typing ignore - lib.keras_utils - All plaid code - lib.launcher.py - All plaidml checks and configuration * remove tf2.2 specific code from GUI event reader * lib.model - remove all plaidml implementations * plugins.extract - remove plaidml code * plugins.train remove plaidml code * lib.convert - remove plaidml code * tools.model: remove plaidml code * Remove plaidML tests from unit tests * remove plaidml_utils and docsting cleanups * Remove plaidML refs from configs * fix keras imports
28 lines
1 KiB
Python
28 lines
1 KiB
Python
#!/usr/bin/env python3
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""" Sanity checks for Faceswap. """
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import inspect
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import pytest
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# Ignore linting errors from Tensorflow's thoroughly broken import system
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from tensorflow import keras
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from tensorflow.keras import backend as K # pylint:disable=import-error
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from lib.utils import get_backend
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_BACKEND = get_backend()
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@pytest.mark.parametrize('dummy', [None], ids=[get_backend().upper()])
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def test_backend(dummy): # pylint:disable=unused-argument
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""" Sanity check to ensure that Keras backend is returning the correct object type. """
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test_var = K.variable((1, 1, 4, 4))
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lib = inspect.getmodule(test_var).__name__.split(".")[0]
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assert _BACKEND in ("cpu", "directml") and lib == "tensorflow"
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@pytest.mark.parametrize('dummy', [None], ids=[get_backend().upper()])
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def test_keras(dummy): # pylint:disable=unused-argument
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""" Sanity check to ensure that tensorflow keras is being used for CPU """
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assert (_BACKEND in ("cpu", "directml")
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and keras.__version__ in ("2.7.0", "2.8.0", "2.9.0", "2.10.0"))
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