| /external/tensorflow/tensorflow/python/keras/layers/ |
| embeddings_test.py | 15 """Tests for embedding layers."""
37 self.skipTest('Only test embedding on CPU.')
40 keras.layers.Embedding,
49 keras.layers.Embedding,
58 keras.layers.Embedding,
67 keras.layers.Embedding,
78 layer = keras.layers.Embedding(output_dim=2, input_dim=2)
88 l = keras.layers.Embedding(output_dim=2, input_dim=2)
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| recurrent_v2_test.py | 55 keras.layers.Embedding(vocab_size, embedding_dim,
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| embeddings.py | 15 """Embedding layer.
34 @keras_export('keras.layers.Embedding')
35 class Embedding(Layer):
46 model.add(Embedding(1000, 64, input_length=10))
64 output_dim: int >= 0. Dimension of the dense embedding.
107 super(Embedding, self).__init__(dtype=dtype, **kwargs)
196 base_config = super(Embedding, self).get_config()
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| gru_test.py | 130 keras.layers.Embedding(
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| simplernn_test.py | 149 keras.layers.Embedding(
|
| __init__.py | 81 # Embedding layers.
82 from tensorflow.python.keras.layers.embeddings import Embedding
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| gru_v2_test.py | 428 keras.layers.Embedding(
493 keras.layers.Embedding(vocab_size, embedding_dim,
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| cudnn_recurrent_test.py | 205 keras.layers.Embedding(
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| lstm_test.py | 352 keras.layers.Embedding(
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| lstm_v2_test.py | 591 keras.layers.Embedding(
656 keras.layers.Embedding(vocab_size, embedding_dim,
[all...] |
| wrappers_test.py | 200 keras.layers.Embedding(5, 6, mask_zero=True),
219 ref_mask_val_0 = model_input > 0 # embedding layer
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| /external/tensorflow/tensorflow/contrib/distribute/python/ |
| keras_lstm_model_correctness_test.py | 37 word_embed = keras.layers.Embedding(input_dim=20,
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| keras_stateful_lstm_model_correctness_test.py | 58 word_embed = keras.layers.Embedding(input_dim=20,
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| keras_embedding_model_correctness_test.py | 15 """Correctness test for tf.keras Embedding models using DistributionStrategy."""
37 word_embed = keras.layers.Embedding(input_dim=20,
85 def submodel(embedding, word_ids):
86 word_embed = embedding(word_ids)
90 word_embed = keras.layers.Embedding(
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| /external/icu/icu4c/source/config/ |
| mh-cygwin-msvc | 188 ( echo Embedding manifest into $< && mt.exe -nologo -manifest $<.manifest -outputresource:"$<;2" && rm -rf $<.manifest )) \
191 ( echo Embedding manifest into $@ && mt.exe -nologo -manifest $@.manifest -outputresource:"$@;1" && rm -rf $@.manifest )) \
|
| mh-msys-msvc | 181 ( echo Embedding manifest into $< && mt.exe -nologo -manifest $<.manifest -outputresource:"$<;2" && rm -rf $<.manifest )) \
184 ( echo Embedding manifest into $@ && mt.exe -nologo -manifest $@.manifest -outputresource:"$@;1" && rm -rf $@.manifest )) \
|
| /external/tensorflow/tensorflow/contrib/eager/python/examples/rnn_ptb/ |
| rnn_ptb.py | 78 class Embedding(layers.Layer):
79 """An Embedding layer."""
82 super(Embedding, self).__init__(**kwargs)
87 self.embedding = self.add_variable(
95 return tf.nn.embedding_lookup(self.embedding, x)
121 self.embedding = Embedding(vocab_size, embedding_dim)
142 y = self.embedding(input_seq)
358 "--embedding-dim", type=int, default=200, help="Embedding dimension."
[all...] |
| /external/tensorflow/tensorflow/contrib/keras/api/keras/layers/ |
| __init__.py | 79 # Embedding layers.
80 from tensorflow.python.keras.layers.embeddings import Embedding
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| /external/tensorflow/tensorflow/python/keras/ |
| model_subclassing_test.py | 249 class Embedding(keras.layers.Layer):
250 """An Embedding layer."""
253 super(Embedding, self).__init__(**kwargs)
258 self.embedding = self.add_variable(
266 return embedding_ops.embedding_lookup(self.embedding, x)
272 self.embed1 = Embedding(vocab_size, embed_size)
[all...] |
| /external/tensorflow/tensorflow/contrib/seq2seq/python/kernel_tests/ |
| attention_wrapper_v2_test.py | 135 encoder_input = keras.layers.Embedding(
|
| /external/syzkaller/vendor/golang.org/x/text/unicode/bidi/ |
| core.go | 50 // level is the embedding level of a character. Even embedding levels indicate
98 // close brackets, after normalization). The embedding levels are optional, but
99 // may be supplied to encode embedding levels of styled text.
131 // If no externally supplied paragraph embedding level, use default.
136 // Initialize result levels to paragraph embedding level.
165 // 5) resolving implicit embedding levels
248 // default embedding level when no strong types found is 0.
259 // This stack will store the embedding levels and override and isolated
330 // Push new embedding level, override status, and isolate
[all...] |
| /external/tensorflow/tensorflow/contrib/tpu/python/tpu/ |
| keras_support.py | 270 class TPUEmbedding(embeddings.Embedding):
271 """TPU compatible embedding layer.
[all...] |
| /external/tensorflow/tensorflow/python/feature_column/ |
| feature_column_v2.py | 867 that are inputs to the embedding lookup.
868 dimension: An integer specifying dimension of the embedding, must be > 0.
875 initializer: A variable initializer function to be used in embedding
[all...] |
