/external/tensorflow/tensorflow/core/profiler/g3doc/ |
D | advise.md | 59 …core_rnn.py:195:static_rnn:state_size=cell.s..., cpu: 306.52ms, accelerator: 73.54ms, total: 380.0… 62 core_rnn.py:179:static_rnn:max_sequence_leng..., cpu: 67us, accelerator: 0us, total: 67us 64 …core_rnn.py:195:static_rnn:state_size=cell.s..., cpu: 296.11ms, accelerator: 73.54ms, total: 369.6… 67 core_rnn.py:178:static_rnn:min_sequence_leng..., cpu: 85us, accelerator: 0us, total: 85us 68 core_rnn.py:179:static_rnn:max_sequence_leng..., cpu: 16us, accelerator: 0us, total: 16us
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D | profile_time.md | 92 core_rnn.py:195:static_rnn:state_size=cell.s... (0us/127.20ms) 94 core_rnn.py:195:static_rnn:state_size=cell.s... (0us/125.86ms)
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/external/tensorflow/tensorflow/contrib/learn/python/learn/ |
D | models.py | 275 output_fw, state_fw = contrib_rnn.static_rnn(cell_fw, inputs, 281 tmp, state_bw = contrib_rnn.static_rnn( 399 _, encoding = contrib_rnn.static_rnn(
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/external/tensorflow/tensorflow/python/ |
D | __init__.py | 150 nn.static_rnn = rnn.static_rnn
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/external/tensorflow/tensorflow/python/kernel_tests/ |
D | rnn_cell_test.py | 206 rnn.static_rnn(cell, inputs, dtype=dtypes.float32, sequence_length=4) 217 outputs, state = rnn.static_rnn(cell, inputs, dtype=dtypes.float32) 251 outputs, state = rnn.static_rnn(cell, inputs, dtype=dtypes.float32) 253 dropped_outputs, _ = rnn.static_rnn( 284 dynamic_outputs, dynamic_state = rnn.static_rnn( 354 return rnn.static_rnn(cell, inputs, dtype=dtypes.float32, scope=scope) 396 outputs, _ = rnn.static_rnn(cell, inputs, dtype=dtypes.float32) 423 outputs, _ = rnn.static_rnn(cell, inputs, dtype=dtypes.float32) 595 outputs, _ = rnn.static_rnn(cell, inputs, dtype=dtypes.float32) 628 outputs_notuple, state_notuple = rnn.static_rnn( [all …]
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D | rnn_test.py | 534 outputs, state = rnn.static_rnn( 726 outputs, final_state = rnn.static_rnn( 859 outputs, final_state = rnn.static_rnn( 925 outputs, final_state = rnn.static_rnn(
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/external/tensorflow/tensorflow/contrib/legacy_seq2seq/python/ops/ |
D | seq2seq.py | 186 _, enc_state = rnn.static_rnn(enc_cell, encoder_inputs, dtype=dtype) 222 _, enc_state = rnn.static_rnn( 363 _, encoder_state = rnn.static_rnn(encoder_cell, encoder_inputs, dtype=dtype) 862 encoder_outputs, encoder_state = rnn.static_rnn( 1000 _, encoder_state = rnn.static_rnn(enc_cell, encoder_inputs, dtype=dtype)
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/external/tensorflow/tensorflow/contrib/rnn/python/kernel_tests/ |
D | lstm_ops_test.py | 150 basic_outputs_op, basic_state_op = rnn.static_rnn( 268 rnn.static_rnn(cell, inputs, dtype=dtypes.float32, scope="basic") 269 rnn.static_rnn(pcell, inputs, dtype=dtypes.float32, scope="peephole") 279 rnn.static_rnn(cell, inputs, dtype=dtypes.float32, scope="basic") 280 rnn.static_rnn(pcell, inputs, dtype=dtypes.float32, scope="peephole")
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D | fused_rnn_cell_test.py | 52 outputs, state = rnn.static_rnn(
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/external/tensorflow/tensorflow/contrib/rnn/ |
D | __init__.py | 98 from tensorflow.python.ops.rnn import static_rnn
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/external/tensorflow/tensorflow/contrib/legacy_seq2seq/python/kernel_tests/ |
D | seq2seq_test.py | 54 _, enc_state = rnn.static_rnn( 107 _, enc_state = rnn.static_rnn(cell, inp, dtype=dtypes.float32) 325 enc_outputs, enc_state = rnn.static_rnn(cell, inp, dtype=dtypes.float32) 350 enc_outputs, enc_state = rnn.static_rnn(cell, inp, dtype=dtypes.float32) 428 enc_outputs, enc_state = rnn.static_rnn(cell, inp, dtype=dtypes.float32) 458 enc_outputs, enc_state = rnn.static_rnn(cell, inp, dtype=dtypes.float32) 488 enc_outputs, enc_state = rnn.static_rnn(cell, inp, dtype=dtypes.float32)
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/external/tensorflow/tensorflow/contrib/rnn/python/ops/ |
D | fused_rnn_cell.py | 119 outputs, state = rnn.static_rnn(
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/external/tensorflow/tensorflow/contrib/grid_rnn/python/kernel_tests/ |
D | grid_rnn_test.py | 530 outputs, state = rnn.static_rnn(cell, inputs, dtype=dtypes.float32) 572 outputs, state = rnn.static_rnn(cell, inputs, dtype=dtypes.float32) 612 outputs, state = rnn.static_rnn(cell, inputs, dtype=dtypes.float32) 655 outputs, state = rnn.static_rnn(cell, inputs, dtype=dtypes.float32) 693 outputs, state = rnn.static_rnn(cell, inputs, dtype=dtypes.float32)
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/external/tensorflow/tensorflow/contrib/learn/python/learn/ops/ |
D | seq2seq_ops.py | 156 _, last_enc_state = rnn.static_rnn(
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/external/tensorflow/tensorflow/python/ops/ |
D | rnn.py | 1224 def static_rnn(cell, function 1460 (outputs, state) = static_rnn( 1559 output_fw, output_state_fw = static_rnn( 1570 tmp, output_state_bw = static_rnn(
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/external/tensorflow/tensorflow/contrib/model_pruning/python/ |
D | strip_pruning_vars_test.py | 119 outputs = rnn.static_rnn(
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/external/tensorflow/tensorflow/lite/experimental/examples/lstm/ |
D | unidirectional_sequence_rnn_test.py | 86 outputs, _ = tf.nn.static_rnn(rnn_layer, rnn_input, dtype="float32")
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D | unidirectional_sequence_lstm_test.py | 90 outputs, _ = tf.nn.static_rnn(lstm_layer, lstm_input, dtype="float32")
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/external/tensorflow/tensorflow/core/profiler/ |
D | README.md | 187 …core_rnn.py:195:static_rnn:state_size=cell.s..., cpu: 306.52ms, accelerator: 73.54ms, total: 380.0… 189 …core_rnn.py:195:static_rnn:state_size=cell.s..., cpu: 296.11ms, accelerator: 73.54ms, total: 369.6…
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/external/tensorflow/tensorflow/lite/experimental/examples/lstm/g3doc/ |
D | README.md | 12 ops) and a "rnn" ( e.g., `tf.nn.static_rnn`, 40 using dynamic_rnn. Note you don't need to change if you're using static_rnn.
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/external/tensorflow/tensorflow/tools/api/golden/v1/ |
D | tensorflow.nn.pbtxt | 388 name: "static_rnn"
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/external/tensorflow/tensorflow/lite/testing/ |
D | generate_examples.py | 3030 cell_outputs, _ = rnn.static_rnn( 4399 outs, _ = tf.nn.static_rnn(lstm_cell, input_values, dtype=tf.float32) 4472 outs, _ = tf.nn.static_rnn(rnn_cell, input_values, dtype=tf.float32)
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/external/tensorflow/ |
D | RELEASE.md | 1169 compatibility). The original `tf.nn.rnn` function is now `tf.nn.static_rnn`,
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