Python chainer.testing.parameterize() Examples
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code examples of chainer.testing.parameterize().
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Example #1
Source File: test_batch_renormalization.py From chainer with MIT License | 5 votes |
def parameterize_batch_renormalization(): return testing.parameterize(*(testing.product({ 'ndim': [0, 1, 2], 'eps': [2e-5, 1e-1], 'dtype': [numpy.float32], 'update_statistics': [True, False], }) + testing.product({ 'ndim': [1], 'eps': [2e-5, 1e-1], 'dtype': [numpy.float16, numpy.float32, numpy.float64], 'update_statistics': [True, False], })))
Example #2
Source File: parameterized.py From chainercv with MIT License | 5 votes |
def parameterize(*params): """:func:`chainer.testing.parameterize` for `pytest-xdist`. :func:`chainer.testing.parameterize` cannot work with `pytest-xdist` when the params contain functions (lambdas), classes, and random values. This wrapper replaces the params with their indices and restore the original params in :meth:`setUp`. """ def deco(cls): setUp_orig = cls.setUp def setUp(self): param = params[self._chainercv_parameterize_index] print('params: {}'.format(param)) for k, v in six.iteritems(param): setattr(self, k, v) setUp_orig(self) cls.setUp = setUp params_indices = [ {'_chainercv_parameterize_index': i} for i in range(len(params))] return testing.parameterize(*params_indices)(cls) return deco