Searched refs:val_y (Results 1 – 9 of 9) sorted by relevance
/external/tensorflow/tensorflow/python/keras/engine/ |
D | training_arrays_v1.py | 635 val_x, val_y, val_sample_weights = model._prepare_validation_data( 638 (x, y, sample_weights, val_x, val_y, val_sample_weights 645 val_x, val_y, val_sample_weights = None, None, None 657 val_targets=val_y,
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D | training_utils_v1.py | 1846 y, val_y = (generic_utils.slice_arrays(y, 0, split_at), 1855 return x, y, sample_weights, val_x, val_y, val_sample_weights 1880 val_y = None 1884 val_x, val_y = validation_data # pylint: disable=unpacking-non-sequence 1887 val_x, val_y, val_sample_weight = validation_data, None, None 1890 val_x, val_y, val_sample_weight = validation_data # pylint: disable=unpacking-non-sequence 1892 val_x, val_y, val_sample_weight = validation_data, None, None 1902 val_x, val_y, val_sample_weight = validation_data, None, None 1903 return val_x, val_y, val_sample_weight
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D | training_distributed_v1.py | 634 val_x, val_y, val_sample_weights = ( 636 dist_utils.validate_inputs(val_x, val_y) 642 val_x, val_y,
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D | training_generator_v1.py | 761 (x, y, sample_weights, val_x, val_y, 765 validation_data = (val_x, val_y, val_sample_weights)
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D | data_adapter_test.py | 1043 (train_x, train_y, train_sw), (val_x, val_y, val_sw) = ( 1051 val_y = ops.convert_to_tensor_v2_with_dispatch(val_y) 1059 self.assertEqual(val_y.numpy().tolist(), [8])
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D | training.py | 1092 val_x, val_y, val_sample_weight = ( 1173 y=val_y, 1186 y=val_y,
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D | training_v1.py | 1383 val_x, val_y, val_sample_weights = training_utils_v1.unpack_validation_data( 1387 val_y,
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/external/libxaac/decoder/ |
D | ixheaacd_drc_freq_dec.c | 932 int val_x, val_y; in ixheaacd_drc_apply() local 936 val_y = ((UWORD8)pstr_drc_data->drc_fac_dvb[drc_band]) & 0x0F; in ixheaacd_drc_apply() 938 compression_factor = (FLOAT32)(48.164 - 6.0206 * val_x - 0.4014 * val_y); in ixheaacd_drc_apply()
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/external/tensorflow/tensorflow/python/keras/ |
D | callbacks_test.py | 160 val_x, val_y = np.ones((4, 10)), np.ones((4, 1)) 167 validation_data=(val_x, val_y),
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