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/external/tensorflow/tensorflow/python/keras/layers/
Dlstm_v2_test.py71 layer = rnn.LSTM(
90 layer = rnn.LSTM(units, return_sequences=True)
100 layer = rnn.LSTM(units, input_shape=(None, embedding_dim))
113 model.add(rnn.LSTM(10, return_sequences=True, unroll=False))
114 model.add(rnn.LSTM(5, return_sequences=True, unroll=False))
121 layer_class = rnn.LSTM
137 layer = rnn.LSTM(units)
169 layer = rnn.LSTM(units)
188 layer = rnn.LSTM(units, stateful=True)
228 output = rnn.LSTM(units)(
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Dlstm_test.py42 keras.layers.LSTM,
57 layer = keras.layers.LSTM(units, return_sequences=True)
67 layer = keras.layers.LSTM(units, input_shape=(None, embedding_dim))
83 keras.layers.LSTM,
96 keras.layers.LSTM,
103 layer_class = keras.layers.LSTM
121 layer_class = keras.layers.LSTM
149 layer_class = keras.layers.LSTM
165 layer = keras.layers.LSTM(units)
195 layer = keras.layers.LSTM(units)
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Dserialization_test.py72 @parameterized.parameters([rnn_v1.LSTM, rnn_v2.LSTM])
81 self.assertIsInstance(new_layer, rnn_v2.LSTM)
83 self.assertIsInstance(new_layer, rnn_v1.LSTM)
84 self.assertNotIsInstance(new_layer, rnn_v2.LSTM)
Drecurrent_v2_test.py39 @parameterized.parameters([rnn_v2.LSTM, rnn_v2.GRU])
Dwrappers_test.py414 rnn = keras.layers.LSTM
477 rnn = keras.layers.LSTM
503 rnn = keras.layers.LSTM
682 rnn = keras.layers.LSTM
708 rnn = keras.layers.LSTM
D__init__.py158 from tensorflow.python.keras.layers.recurrent import LSTM
160 from tensorflow.python.keras.layers.recurrent_v2 import LSTM as LSTM_v2
Drecurrent_v2.py435 class LSTM(recurrent.DropoutRNNCellMixin, recurrent.LSTM): class
548 super(LSTM, self).__init__(
/external/tensorflow/tensorflow/lite/experimental/examples/lstm/g3doc/
DREADME.md1 # TensorFlow Lite LSTM ops API
3 TensorFlow Lite LSTM ops help developers deploy LSTM models to TensorFlow Lite.
8 LSTM ops in TensorFlow Lite realm are expressed as "fused ops" (e.g.,
10 TensorFlow, LSTM ops are expressed as a "cell" (e.g., `tf.nn.rnn_cell.LSTMCell`,
18 See the difference between TensorFlow LSTM and TensorFlow Lite LSTM.
20 ##### TensorFlow LSTM op ("cell")
22 ![TensorFlow LSTM op](./images/tf_lstm.png)
24 ##### TensorFlow Lite LSTM op ("fused ops")
26 ![TensorFlow Lite LSTM op](./images/tflite_lstm.png)
28 The TensorFlow LSTM figure is credited to this
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/external/tensorflow/tensorflow/core/api_def/base_api/
Dapi_def_CudnnRNN.pbtxt21 input_c: For LSTM, a 3-D tensor with the shape of
30 output_c: The same shape as input_c for LSTM. An empty tensor for other models.
Dapi_def_CudnnRNNV2.pbtxt22 input_c: For LSTM, a 3-D tensor with the shape of
31 output_c: The same shape as input_c for LSTM. An empty tensor for other models.
Dapi_def_CudnnRNNBackprop.pbtxt20 input_c: For LSTM, a 3-D tensor with the shape of
29 output_c: The same shape as input_c for LSTM. An empty tensor for other models.
Dapi_def_CudnnRNNV3.pbtxt25 input_c: For LSTM, a 3-D tensor with the shape of
36 output_c: The same shape as input_c for LSTM. An empty tensor for other models.
Dapi_def_CudnnRNNBackpropV2.pbtxt23 input_c: For LSTM, a 3-D tensor with the shape of
32 output_c: The same shape as input_c for LSTM. An empty tensor for other models.
Dapi_def_CudnnRNNBackpropV3.pbtxt25 input_c: For LSTM, a 3-D tensor with the shape of
36 output_c: The same shape as input_c for LSTM. An empty tensor for other models.
Dapi_def_CTCLoss.pbtxt68 should be e.g. linear projections of outputs by an LSTM.
/external/tensorflow/tensorflow/tools/api/golden/v2/
Dtensorflow.keras.layers.-l-s-t-m.pbtxt1 path: "tensorflow.keras.layers.LSTM"
3 is_instance: "<class \'tensorflow.python.keras.layers.recurrent_v2.LSTM\'>"
5 is_instance: "<class \'tensorflow.python.keras.layers.recurrent.LSTM\'>"
/external/tensorflow/tensorflow/lite/schema/
Dschema.fbs125 LSTM = 16,
446 // Full LSTM kernel which supports peephole and projection.
448 // Basic LSTM kernels. Equivalent to TensorFlow BasicLSTMCell.
454 // Parameters for LSTM version 1 or above.
459 // Parameters for LSTM version 2 or above.
792 // this operator.(e.g. used by RNN and LSTM).
/external/tensorflow/tensorflow/examples/udacity/
D6_lstm.ipynb37 …gram model in `5_word2vec.ipynb`, the goal of this notebook is to train a LSTM character model ove…
341 "Function to generate a training batch for the LSTM model."
498 "Simple LSTM Model."
546 " \"\"\"Create a LSTM cell. See e.g.: http://arxiv.org/pdf/1402.1128v1.pdf\n",
564 " # Unrolled LSTM loop.\n",
1015 …"You might have noticed that the definition of the LSTM cell involves 4 matrix multiplications wit…
1031 …LSTM over bigrams, that is pairs of consecutive characters like 'ab' instead of single characters …
1033 …"a- Introduce an embedding lookup on the inputs, and feed the embeddings to the LSTM cell instead …
1035 "b- Write a bigram-based LSTM, modeled on the character LSTM above.\n",
1055 …"Write a sequence-to-sequence LSTM which mirrors all the words in a sentence. For example, if your…
/external/tensorflow/tensorflow/lite/models/testdata/g3doc/
DREADME.md94 It has an input size of 320 (float), an output size of 42 (float), five LSTM
108 of three embedding layer, three LSTM layers, followed by a multiplication, a
123 layer, two LSTM layers, and two additional fully-connected layers.
/external/tensorflow/tensorflow/contrib/distribute/python/
Dkeras_lstm_model_correctness_test.py39 lstm_embed = keras.layers.LSTM(units=4,
Dkeras_stateful_lstm_model_correctness_test.py60 lstm_embed = keras.layers.LSTM(units=4,
/external/libopus/scripts/
Ddump_rnn.py7 from keras.layers import LSTM
Drnn_train.py9 from keras.layers import LSTM
/external/tensorflow/tensorflow/tools/api/golden/v1/
Dtensorflow.keras.layers.-l-s-t-m.pbtxt1 path: "tensorflow.keras.layers.LSTM"
3 is_instance: "<class \'tensorflow.python.keras.layers.recurrent.LSTM\'>"
/external/tensorflow/tensorflow/lite/g3doc/guide/
Droadmap.md29 * **LSTM / RNN support**

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