/external/tensorflow/tensorflow/contrib/training/python/training/ |
D | sequence_queueing_state_saver_test.py | 94 next_batch = state_saver.next_batch 97 (next_batch.key, next_batch.next_key, next_batch.sequences["seq1"], 98 next_batch.sequences["seq2"], next_batch.context["context1"], 99 next_batch.state("state1"), next_batch.state("state2"), 100 next_batch.length, 101 next_batch.save_state("state1", next_batch.state("state1") + 1), 102 next_batch.save_state("state2", next_batch.state("state2") - 1))) 135 (next_batch.key, next_batch.next_key, next_batch.sequences["seq1"], 136 next_batch.sequences["seq2"], next_batch.context["context1"], 137 next_batch.state("state1"), next_batch.state("state2"), [all …]
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D | batch_sequences_with_states_test.py | 112 next_batch = sqss.batch_sequences_with_states( 128 state1 = next_batch.state("state1") 129 state2 = next_batch.state("state2") 130 state1_update = next_batch.save_state("state1", state1 + 1) 131 state2_update = next_batch.save_state("state2", state2 - 1) 152 (next_batch.key, next_batch.next_key, next_batch.sequences["seq1"], 153 next_batch.sequences["seq2"], next_batch.sequences["seq3"], 154 next_batch.sequences["seq4"], next_batch.context["context1"], 155 next_batch.context["sp_context"], state1, state2, next_batch.length, 194 (next_batch.key, next_batch.next_key, next_batch.sequences["seq1"], [all …]
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D | sequence_queueing_state_saver.py | 923 def next_batch(self): member in SequenceQueueingStateSaver 1536 batch = stateful_reader.next_batch
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/external/mesa3d/src/intel/tools/ |
D | gen_batch_decoder.c | 782 struct gen_batch_decode_bo next_batch; in gen_print_batch() local 788 next_batch = ctx_get_bo(ctx, iter.raw_value); in gen_print_batch() 794 if (next_batch.map == NULL) { in gen_print_batch() 796 next_batch.addr); in gen_print_batch() 805 if (next_batch.map) { in gen_print_batch() 806 gen_print_batch(ctx, next_batch.map, next_batch.size, in gen_print_batch() 807 next_batch.addr); in gen_print_batch() 815 if (next_batch.map) { in gen_print_batch() 816 p = next_batch.map; in gen_print_batch() 817 end = next_batch.map + next_batch.size; in gen_print_batch()
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/external/tensorflow/tensorflow/lite/experimental/examples/lstm/ |
D | unidirectional_sequence_rnn_test.py | 109 batch_x, batch_y = self.mnist.train.next_batch( 147 b1, _ = self.mnist.train.next_batch(batch_size=1)
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D | unidirectional_sequence_lstm_test.py | 114 batch_x, batch_y = self.mnist.train.next_batch( 135 b1, _ = self.mnist.train.next_batch(batch_size=1)
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D | bidirectional_sequence_lstm_test.py | 123 batch_x, batch_y = self.mnist.train.next_batch( 146 b1, _ = self.mnist.train.next_batch(batch_size=1)
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D | bidirectional_sequence_rnn_test.py | 142 batch_x, batch_y = self.mnist.train.next_batch( 170 b1, _ = self.mnist.train.next_batch(batch_size=1)
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/external/tensorflow/tensorflow/examples/tutorials/mnist/ |
D | mnist_softmax_xla.py | 72 batch_xs, batch_ys = mnist.train.next_batch(100)
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D | fully_connected_feed.py | 78 images_feed, labels_feed = data_set.next_batch(FLAGS.batch_size,
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D | mnist_with_summaries.py | 152 xs, ys = mnist.train.next_batch(100, fake_data=FLAGS.fake_data)
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/external/mesa3d/src/gallium/state_trackers/xa/ |
D | xa_renderer.c | 101 renderer_draw_conditional(struct xa_context *r, int next_batch) in renderer_draw_conditional() argument 103 if (r->buffer_size + next_batch >= XA_VB_SIZE || in renderer_draw_conditional() 104 (next_batch == 0 && r->buffer_size)) { in renderer_draw_conditional()
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/external/tensorflow/tensorflow/python/debug/examples/ |
D | debug_mnist.py | 50 xs, ys = mnist.train.next_batch(FLAGS.train_batch_size,
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/external/tensorflow/tensorflow/contrib/factorization/examples/ |
D | mnist.py | 79 images_feed, labels_feed = data_set.next_batch(batch_size, FLAGS.fake_data)
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/external/tensorflow/tensorflow/contrib/learn/python/learn/datasets/ |
D | mnist.py | 183 def next_batch(self, batch_size, fake_data=False, shuffle=True): member in DataSet
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