/external/tensorflow/tensorflow/lite/experimental/examples/lstm/ |
D | BUILD | 31 "//tensorflow/python:rnn_cell", 37 name = "rnn_cell", 38 srcs = ["rnn_cell.py"], 44 "//tensorflow/python:rnn_cell", 62 ":rnn_cell", 85 ":rnn_cell", 108 ":rnn_cell", 131 ":rnn_cell", 147 ":rnn_cell",
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/external/tensorflow/tensorflow/python/keras/layers/ |
D | rnn_cell_wrapper_v2_test.py | 120 rnn_cell = wrapper(base_cell) 121 rnn_layer = layers.RNN(rnn_cell) 129 self.assertLen(rnn_cell.weights, 3) 130 self.assertCountEqual([v.name for v in rnn_cell.weights], expected_weights) 131 self.assertCountEqual([v.name for v in rnn_cell.trainable_variables], 133 self.assertCountEqual([v.name for v in rnn_cell.non_trainable_variables], 135 self.assertCountEqual([v.name for v in rnn_cell.cell.weights], 146 rnn_cell = wrapper(base_cell) 149 _ = rnn_cell(inputs, [state, state])
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D | recurrent.py | 3023 def _caching_device(rnn_cell): argument 3043 if not getattr(rnn_cell, '_enable_caching_device', False): 3057 if (rnn_cell._dtype_policy.compute_dtype != 3058 rnn_cell._dtype_policy.variable_dtype): 3071 def _config_for_enable_caching_device(rnn_cell): argument 3086 if rnn_cell._enable_caching_device != default_enable_caching_device: 3087 return {'enable_caching_device': rnn_cell._enable_caching_device}
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/external/tensorflow/tensorflow/lite/testing/op_tests/ |
D | unidirectional_sequence_rnn.py | 50 rnn_cell = tf.lite.experimental.nn.TfLiteRNNCell(parameters["units"]) 52 rnn_cell, input_value, dtype=tf.float32, time_major=True) 60 rnn_cell = tf.lite.experimental.nn.TfLiteRNNCell(parameters["units"]) 61 outs, _ = tf.nn.static_rnn(rnn_cell, input_values, dtype=tf.float32)
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D | unfused_gru.py | 43 cell_fw = tf.compat.v1.nn.rnn_cell.GRUCell(parameters["units"]) 44 cell_bw = tf.compat.v1.nn.rnn_cell.GRUCell(parameters["units"])
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D | lstm.py | 61 lstm_cell = tf.compat.v1.nn.rnn_cell.BasicLSTMCell(
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/external/tensorflow/tensorflow/python/keras/integration_test/ |
D | legacy_rnn_test.py | 29 self._cell = tf.nn.rnn_cell.MultiRNNCell( 30 [tf.nn.rnn_cell.LSTMCell(1) for _ in range(2)]) 302 cell = tf.nn.rnn_cell.BasicRNNCell(output_shape) 313 tf.nn.rnn_cell.LSTMCell(32, use_peepholes=True, cell_clip=True), 314 tf.nn.rnn_cell.BasicLSTMCell(32, dtype=tf.float32), 315 tf.nn.rnn_cell.BasicRNNCell(32, activation="relu", dtype=tf.float32), 316 tf.nn.rnn_cell.GRUCell(32, dtype=tf.float32) 336 "BasicRNNCell": tf.nn.rnn_cell.BasicRNNCell, 337 "GRUCell": tf.nn.rnn_cell.GRUCell, 338 "LSTMCell": tf.nn.rnn_cell.LSTMCell, [all …]
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/external/tensorflow/tensorflow/python/kernel_tests/ |
D | rnn_cell_test.py | 44 from tensorflow.python.ops import rnn_cell 59 class Plus1RNNCell(rnn_cell.RNNCell): 74 class DummyMultiDimensionalLSTM(rnn_cell.RNNCell): 109 class NestedRNNCell(rnn_cell.RNNCell): 242 full_dropout_cell = rnn_cell.DropoutWrapper( 373 lstm = rnn_cell.LSTMCell(10) 380 lstm = rnn_cell.LSTMCell(10, dtype=dtype) 394 cell = rnn_cell.LSTMCell( 417 cell = rnn_cell.LSTMCell( 449 cell = rnn_cell.LSTMCell( [all …]
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/external/tensorflow/tensorflow/python/ |
D | __init__.py | 129 from tensorflow.python.ops import rnn_cell 154 nn.rnn_cell = rnn_cell
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/external/tensorflow/tensorflow/python/profiler/internal/ |
D | model_analyzer_testlib.py | 29 from tensorflow.python.ops import rnn_cell 65 cell = rnn_cell.BasicRNNCell(16)
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D | BUILD | 35 "//tensorflow/python:rnn_cell",
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/external/tensorflow/tensorflow/tools/api/golden/v1/ |
D | tensorflow.nn.rnn_cell.-l-s-t-m-state-tuple.pbtxt | 1 path: "tensorflow.nn.rnn_cell.LSTMStateTuple"
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D | tensorflow.nn.rnn_cell.pbtxt | 1 path: "tensorflow.nn.rnn_cell"
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D | tensorflow.nn.rnn_cell.-r-n-n-cell.pbtxt | 1 path: "tensorflow.nn.rnn_cell.RNNCell"
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D | tensorflow.nn.rnn_cell.-residual-wrapper.pbtxt | 1 path: "tensorflow.nn.rnn_cell.ResidualWrapper"
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D | tensorflow.nn.rnn_cell.-multi-r-n-n-cell.pbtxt | 1 path: "tensorflow.nn.rnn_cell.MultiRNNCell"
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D | tensorflow.nn.rnn_cell.-l-s-t-m-cell.pbtxt | 1 path: "tensorflow.nn.rnn_cell.LSTMCell"
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D | tensorflow.nn.rnn_cell.-dropout-wrapper.pbtxt | 1 path: "tensorflow.nn.rnn_cell.DropoutWrapper"
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D | tensorflow.lite.experimental.nn.-t-f-lite-l-s-t-m-cell.pbtxt | 3 is_instance: "<class \'tensorflow.lite.experimental.examples.lstm.rnn_cell.TFLiteLSTMCell\'>"
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D | tensorflow.nn.rnn_cell.-basic-r-n-n-cell.pbtxt | 1 path: "tensorflow.nn.rnn_cell.BasicRNNCell"
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D | tensorflow.lite.experimental.nn.-tf-lite-r-n-n-cell.pbtxt | 3 is_instance: "<class \'tensorflow.lite.experimental.examples.lstm.rnn_cell.TfLiteRNNCell\'>"
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/external/tensorflow/tensorflow/python/keras/tests/ |
D | integration_test.py | 31 from tensorflow.python.keras.layers.legacy_rnn import rnn_cell_impl as rnn_cell unknown 224 model.add(keras.layers.RNN(rnn_cell.LSTMCell(5), return_sequences=True, 226 model.add(keras.layers.RNN(rnn_cell.GRUCell(y_train.shape[-1],
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/external/tensorflow/tensorflow/python/ops/parallel_for/ |
D | gradients_test.py | 42 from tensorflow.python.ops import rnn_cell 77 cell = rnn_cell.BasicLSTMCell(state_size) 94 cell = rnn_cell.BasicLSTMCell(state_size) 190 cell = rnn_cell.BasicLSTMCell(state_size) 204 loop_init_state = rnn_cell.LSTMStateTuple(
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/external/tensorflow/tensorflow/lite/g3doc/convert/ |
D | rnn.md | 114 …b.com/tensorflow/lingvo/blob/91a4609dbc2579748a95110eda59c66d17c594c5/lingvo/core/rnn_cell.py#L228) 118 ….com/tensorflow/lingvo/blob/91a4609dbc2579748a95110eda59c66d17c594c5/lingvo/core/rnn_cell.py#L1173) 153 ….com/tensorflow/lingvo/blob/91a4609dbc2579748a95110eda59c66d17c594c5/lingvo/core/rnn_cell.py#L228).
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/external/tensorflow/tensorflow/python/tools/api/generator/ |
D | api_init_files_v1.bzl | 62 "nn/rnn_cell/__init__.py",
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