Searched refs:data_gen (Results 1 – 3 of 3) sorted by relevance
| /external/tensorflow/tensorflow/python/keras/preprocessing/ |
| D | sequence_test.py | 112 data_gen = preprocessing_sequence.TimeseriesGenerator(
114 self.assertEqual(len(data_gen), 20)
115 self.assertAllClose(data_gen[0][0],
118 self.assertAllClose(data_gen[0][1], np.array([[10], [11]]))
119 self.assertAllClose(data_gen[1][0],
122 self.assertAllClose(data_gen[1][1], np.array([[12], [13]]))
124 data_gen = preprocessing_sequence.TimeseriesGenerator(
126 self.assertEqual(len(data_gen), 20)
127 self.assertAllClose(data_gen[0][0],
130 self.assertAllClose(data_gen[0][1], np.array([[10], [11]]))
[all …]
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| /external/tensorflow/tensorflow/lite/experimental/quantization_debugger/ |
| D | README.md | 65 debug_dataset=data_gen)
71 debug_dataset=data_gen)
131 debug_dataset=data_gen,
161 debug_dataset=data_gen,
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| /external/tensorflow/tensorflow/python/keras/engine/ |
| D | training_generator_test.py | 349 def data_gen(batch_size=2): function
380 model.fit(data_gen(), epochs=1, steps_per_epoch=5)
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