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Searched refs:negative_values (Results 1 – 2 of 2) sorted by relevance

/external/tensorflow/tensorflow/python/keras/
Dactivations_test.py89 negative_values = np.array([[-1, -2]], dtype=keras.backend.floatx())
90 result = f([negative_values])[0]
91 true_result = (np.exp(negative_values) - 1) * scale * alpha
152 negative_values = np.random.uniform(-1, 0, (2, 5))
153 result = f([negative_values])[0]
163 negative_values = np.array([[-1, -2]], dtype=keras.backend.floatx())
164 result = f([negative_values])[0]
165 true_result = (np.exp(negative_values) - 1) / 2
Dbackend_test.py43 negative_values=True, argument
53 if negative_values:
344 negative_values=False)