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/external/tensorflow/tensorflow/contrib/slim/python/slim/nets/
Dresnet_v1.py135 reuse=None, argument
193 scope, 'resnet_v1', [inputs], reuse=reuse) as sc:
256 reuse=None, argument
273 reuse=reuse,
282 reuse=None, argument
299 reuse=reuse,
308 reuse=None, argument
325 reuse=reuse,
334 reuse=None, argument
351 reuse=reuse,
Dresnet_v2.py137 reuse=None, argument
197 scope, 'resnet_v2', [inputs], reuse=reuse) as sc:
269 reuse=None, argument
286 reuse=reuse,
295 reuse=None, argument
312 reuse=reuse,
321 reuse=None, argument
338 reuse=reuse,
347 reuse=None, argument
364 reuse=reuse,
/external/tensorflow/tensorflow/contrib/layers/python/layers/
Dencoders.py40 reuse=None): argument
71 scope, 'bow_encoder', [ids], reuse=reuse):
98 reuse=None): argument
126 if not (reuse or (vocab_size and embed_dim)):
131 scope, 'EmbedSequence', [ids], reuse=reuse):
133 if reuse and vocab_size is None or embed_dim is None:
Dlayers.py185 reuse=None, argument
266 scope, 'BatchNorm', [inputs], reuse=reuse) as sc:
440 reuse=None, argument
591 reuse=reuse,
606 reuse=reuse,
649 _reuse=reuse,
845 reuse=None, argument
884 scope, 'BiasAdd', [inputs], reuse=reuse) as sc:
932 reuse=None, argument
1019 scope, 'Conv', [inputs], reuse=reuse,
[all …]
Dnormalization.py48 reuse=None, argument
103 scope, 'InstanceNorm', [inputs], reuse=reuse) as sc:
175 reuse=None, argument
322 scope, 'GroupNorm', [inputs], reuse=reuse) as sc:
Dencoders_test.py76 enc_2 = encoders.bow_encoder(docs, 4, 3, scope='test', reuse=True)
86 with variable_scope.variable_scope('test', reuse=True):
109 enc = encoders.bow_encoder(docs, 4, 3, scope='test', reuse=True)
120 emb = encoders.embed_sequence(docs, 4, 3, scope='test', reuse=True)
/external/tensorflow/tensorflow/python/ops/
Dvariable_scope.py289 reuse=None, argument
411 if not self._store_eager_variables and reuse:
417 reuse = AUTO_REUSE
441 reuse=None, argument
466 reuse=reuse,
479 if (reuse is True and partitioner is None
487 reuse=reuse,
511 reuse=reuse,
535 "reuse": reuse,
558 reuse=reuse,
[all …]
Dpartitioned_variables.py246 trainable=True, collections=None, name=None, reuse=None): argument
301 name, "PartitionedVariable", reuse=reuse):
/external/tensorflow/tensorflow/contrib/model_pruning/python/layers/
Dlayers.py110 reuse=None, argument
195 scope, 'Conv', [inputs], reuse=reuse,
237 _reuse=reuse)
269 reuse=None, argument
329 reuse=reuse,
345 _reuse=reuse)
Drnn_cells.py60 reuse=None, argument
88 reuse=reuse,
192 reuse=None): argument
238 reuse=reuse)
/external/tensorflow/tensorflow/python/layers/
Dconvolutional.py140 reuse=None): argument
216 _reuse=reuse,
339 reuse=None): argument
422 _reuse=reuse,
546 reuse=None): argument
630 _reuse=reuse,
880 reuse=None): argument
969 _reuse=reuse,
1000 reuse=None): argument
1094 _reuse=reuse,
[all …]
/external/tensorflow/tensorflow/python/kernel_tests/
Dvariable_scope_test.py105 vs.get_variable("w", [1], reuse=False) # That's ok.
107 vs.get_variable("v", [1], reuse=False) # That fails.
109 vs.get_variable("v", [1], reuse=True) # That's ok.
111 vs.get_variable("u", [1], reuse=True) # That fails.
388 with variable_scope.variable_scope("foo", reuse=True):
551 with variable_scope.variable_scope(tower, reuse=True) as tower_shared:
618 with variable_scope.variable_scope("jump", reuse=True) as scope:
622 self.assertTrue(jump.reuse)
624 with variable_scope.variable_scope(vs, reuse=True) as jump_reuse:
625 self.assertTrue(jump_reuse.reuse)
[all …]
/external/tensorflow/tensorflow/contrib/legacy_seq2seq/python/ops/
Dseq2seq.py148 with variable_scope.variable_scope("loop_function", reuse=True):
381 reuse = None if feed_previous_bool else True
383 variable_scope.get_variable_scope(), reuse=reuse):
505 reuse = None if feed_previous_bool else True
507 variable_scope.get_variable_scope(), reuse=reuse):
680 with variable_scope.variable_scope("loop_function", reuse=True):
695 variable_scope.get_variable_scope(), reuse=True):
893 reuse = None if feed_previous_bool else True
895 variable_scope.get_variable_scope(), reuse=reuse):
1024 reuse = None if feed_previous else True
[all …]
/external/tensorflow/tensorflow/tools/api/golden/v1/
Dtensorflow.layers.pbtxt97 …straint\', \'gamma_constraint\', \'training\', \'trainable\', \'name\', \'reuse\', \'renorm\', \'r…
101 …', \'kernel_constraint\', \'bias_constraint\', \'trainable\', \'name\', \'reuse\'], varargs=None, …
105 …', \'kernel_constraint\', \'bias_constraint\', \'trainable\', \'name\', \'reuse\'], varargs=None, …
109 …', \'kernel_constraint\', \'bias_constraint\', \'trainable\', \'name\', \'reuse\'], varargs=None, …
113 …', \'kernel_constraint\', \'bias_constraint\', \'trainable\', \'name\', \'reuse\'], varargs=None, …
117 …', \'kernel_constraint\', \'bias_constraint\', \'trainable\', \'name\', \'reuse\'], varargs=None, …
121 …', \'kernel_constraint\', \'bias_constraint\', \'trainable\', \'name\', \'reuse\'], varargs=None, …
145 …\'pointwise_constraint\', \'bias_constraint\', \'trainable\', \'name\', \'reuse\'], varargs=None, …
149 …\'pointwise_constraint\', \'bias_constraint\', \'trainable\', \'name\', \'reuse\'], varargs=None, …
/external/tensorflow/tensorflow/contrib/quantize/python/
Dquant_ops.py67 reuse=None, argument
98 None, default_name=name_prefix, values=[inputs], reuse=reuse) as scope:
192 reuse=None, argument
224 None, default_name=name_prefix, values=[inputs], reuse=reuse) as scope:
/external/grpc-grpc/third_party/nanopb/examples/network_server/
Dserver.c115 int reuse = 1; in main() local
119 setsockopt(listenfd, SOL_SOCKET, SO_REUSEADDR, &reuse, sizeof(reuse)); in main()
/external/honggfuzz/socketfuzzer/
Dvulnserver_cov.c102 int reuse = 1; in main() local
103 if (setsockopt(sockfd, SOL_SOCKET, SO_REUSEPORT, (const char *)&reuse, sizeof(reuse)) < 0) in main()
/external/nanopb-c/examples/network_server/
Dserver.c119 int reuse = 1; in main() local
123 setsockopt(listenfd, SOL_SOCKET, SO_REUSEADDR, &reuse, sizeof(reuse)); in main()
/external/tensorflow/tensorflow/contrib/rnn/python/ops/
Dcore_rnn_cell.py205 reuse=None): argument
222 super(EmbeddingWrapper, self).__init__(_reuse=reuse)
284 reuse=None): argument
299 super(InputProjectionWrapper, self).__init__(_reuse=reuse)
340 def __init__(self, cell, output_size, activation=None, reuse=None): argument
355 super(OutputProjectionWrapper, self).__init__(_reuse=reuse)
Drnn_cell.py94 normalized = layers.layer_norm(inp, reuse=True, scope=scope)
146 reuse=None, argument
182 super(CoupledInputForgetGateLSTMCell, self).__init__(_reuse=reuse)
196 self._reuse = reuse
346 reuse=None): argument
368 super(TimeFreqLSTMCell, self).__init__(_reuse=reuse)
379 self._reuse = reuse
530 reuse=None): argument
571 super(GridLSTMCell, self).__init__(_reuse=reuse)
590 self._reuse = reuse
[all …]
/external/apache-http/src/org/apache/http/conn/
DBasicEofSensorWatcher.java72 boolean reuse) { in BasicEofSensorWatcher() argument
78 attemptReuse = reuse; in BasicEofSensorWatcher()
/external/tensorflow/tensorflow/contrib/gan/python/
Dtrain.py116 with variable_scope.variable_scope(dis_scope, reuse=True):
191 with variable_scope.variable_scope(disc_scope, reuse=True):
283 with variable_scope.variable_scope(dis_scope, reuse=True):
369 with variable_scope.variable_scope(model_y2x.generator_scope, reuse=True):
371 with variable_scope.variable_scope(model_x2y.generator_scope, reuse=True):
442 with variable_scope.variable_scope(generator_scope, reuse=True):
452 with variable_scope.variable_scope(discriminator_scope, reuse=True):
523 with variable_scope.variable_scope(model.discriminator_scope, reuse=True):
533 with variable_scope.variable_scope(model.discriminator_scope, reuse=True):
547 with variable_scope.variable_scope(model.discriminator_scope, reuse=True):
/external/grpc-grpc/src/core/lib/iomgr/
Dsocket_utils_posix.h45 grpc_error* grpc_set_socket_reuse_addr(int fd, int reuse);
54 grpc_error* grpc_set_socket_reuse_port(int fd, int reuse);
/external/protobuf/javanano/src/test/java/com/google/protobuf/nano/
Dunittest_extension_repeated_nano.proto8 // Must be compiled separately due to extension number reuse.
9 // The reuse is deliberate, for testing wire compatibility.
Dunittest_extension_singular_nano.proto8 // Must be compiled separately due to extension number reuse.
9 // The reuse is deliberate, for testing wire compatibility.

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