/external/tensorflow/tensorflow/contrib/layers/python/layers/ |
H A D | encoders.py | 40 reuse=None): 58 if `reuse=True`. 59 reuse: If `True`, variables inside the op will be reused. 71 scope, 'bow_encoder', [ids], reuse=reuse): 99 reuse=None): 117 if `reuse=True`. 118 reuse: If `True`, variables inside the op will be reused. 125 `reuse` is `None` or `False`. 127 if not (reuse o [all...] |
H A D | normalization.py | 46 reuse=None, 74 reuse: Whether or not the layer and its variables should be reused. To be 75 able to reuse the layer scope must be given. 101 scope, 'InstanceNorm', [inputs], reuse=reuse) as sc:
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H A D | encoders_test.py | 76 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)
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H A D | layers.py | 185 reuse=None, 244 reuse: Whether or not the layer and its variables should be reused. To be 245 able to reuse the layer scope must be given. 266 scope, 'BatchNorm', [inputs], reuse=reuse) as sc: 440 reuse=None, 510 reuse: Whether or not the layer and its variables should be reused. To be 511 able to reuse the layer scope must be given. 591 reuse=reuse, [all...] |
/external/apache-http/src/org/apache/http/conn/ |
H A D | BasicEofSensorWatcher.java | 69 * @param reuse whether the connection should be re-used 72 boolean reuse) { 78 attemptReuse = reuse; 71 BasicEofSensorWatcher(ManagedClientConnection conn, boolean reuse) argument
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H A D | BasicManagedEntity.java | 78 * @param reuse whether the connection should be re-used 82 boolean reuse) { 90 this.attemptReuse = reuse; 80 BasicManagedEntity(HttpEntity entity, ManagedClientConnection conn, boolean reuse) argument
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/external/tensorflow/tensorflow/contrib/slim/python/slim/nets/ |
H A D | resnet_v1.py | 135 reuse=None, 174 reuse: whether or not the network and its variables should be reused. To be 175 able to reuse 'scope' must be given. 193 scope, 'resnet_v1', [inputs], reuse=reuse) as sc: 256 reuse=None, 273 reuse=reuse, 282 reuse=None, 299 reuse [all...] |
H A D | resnet_v2.py | 137 reuse=None, 177 reuse: whether or not the network and its variables should be reused. To be 178 able to reuse 'scope' must be given. 197 scope, 'resnet_v2', [inputs], reuse=reuse) as sc: 269 reuse=None, 286 reuse=reuse, 295 reuse=None, 312 reuse [all...] |
/external/testng/src/main/java/org/testng/ |
H A D | ITestClass.java | 28 * @param reuse flag if a new set of instances must be returned 35 Object[] getInstances(boolean reuse); argument
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/external/tensorflow/tensorflow/contrib/kfac/python/ops/ |
H A D | layer_collection.py | 74 # Possible value for 'reuse' keyword argument. Sets 'reuse' to 75 # tf.get_variable_scope().reuse. 236 def register_block(self, layer_key, fisher_block, reuse=VARIABLE_SCOPE): 243 reuse: Method to use for inserting new `FisherBlock`s. One of True, False, 247 ValueError: If `layer_key` was already registered and reuse is `False`, 251 KeyError: If `reuse` is `True` but `layer_key` was not previously 258 if reuse is VARIABLE_SCOPE: 259 reuse = variable_scope.get_variable_scope().reuse [all...] |
/external/tensorflow/tensorflow/contrib/model_pruning/python/layers/ |
H A D | layers.py | 110 reuse=None, 170 reuse: Whether or not the layer and its variables should be reused. To be 171 able to reuse the layer scope must be given. 195 scope, 'Conv', [inputs], reuse=reuse, 237 _reuse=reuse) 269 reuse=None, 302 reuse: Whether or not the layer and its variables should be reused. To be 303 able to reuse the layer scope must be given. 329 reuse [all...] |
H A D | rnn_cells.py | 60 reuse=None, 73 reuse: (optional) Python boolean describing whether to reuse variables 77 share weights, but to avoid mistakes we require reuse=True in such 88 reuse=reuse, 192 reuse=None): 219 reuse: (optional) Python boolean describing whether to reuse variables 238 reuse [all...] |
/external/nanopb-c/examples/network_server/ |
H A D | server.c | 91 int reuse = 1; local 95 setsockopt(listenfd, SOL_SOCKET, SO_REUSEADDR, &reuse, sizeof(reuse));
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/external/tensorflow/tensorflow/python/ops/ |
H A D | partitioned_variables.py | 242 trainable=True, collections=None, name=None, reuse=None): 274 reuse: Boolean or `None`; if `True` and name is set, it would reuse 276 if `None`, it would inherit the parent scope reuse. 302 name, "PartitionedVariable", reuse=reuse):
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H A D | variable_scope.py | 193 When passed in as the value for the `reuse` flag, AUTO_REUSE indicates that 232 initializer=None, regularizer=None, reuse=None, 241 Set `reuse` to `True` when you only want to reuse existing Variables. 242 Set `reuse` to `False` when you only want to create new Variables. 243 Set `reuse` to None (the default) or tf.AUTO_REUSE when you want 266 reuse: a Boolean, None, or tf.AUTO_REUSE. Controls reuse or creation 316 or when violating reuse during variable creation. 325 if not self._store_eager_variables and reuse 942 def reuse(self): member in class:VariableScope [all...] |
/external/tensorflow/tensorflow/contrib/quantize/python/ |
H A D | quant_ops.py | 57 reuse=None, 77 reuse: whether or not the layer and its variables should be reused. To be 78 able to reuse the layer scope must be given. 87 None, default_name=name_prefix, values=[inputs], reuse=reuse): 169 reuse=None, 190 reuse: whether or not the layer and its variables should be reused. To be 191 able to reuse the layer scope must be given. 200 None, default_name=name_prefix, values=[inputs], reuse=reuse) [all...] |
/external/tensorflow/tensorflow/python/kernel_tests/ |
H A D | variable_scope_test.py | 69 # When reuse is False, we fail when variables are already there. 70 vs.get_variable("w", [1], reuse=False) # That's ok. 72 vs.get_variable("v", [1], reuse=False) # That fails. 73 # When reuse is True, we fail when variables are new. 74 vs.get_variable("v", [1], reuse=True) # That's ok. 76 vs.get_variable("u", [1], reuse=True) # That fails. 268 with variable_scope.variable_scope("foo", reuse=True): 269 # reuse=True is for now only supported when eager execution is disabled. 378 # Check that we can set reuse. 400 with variable_scope.variable_scope(tower, reuse [all...] |
/external/tensorflow/tensorflow/contrib/rnn/python/ops/ |
H A D | core_rnn_cell.py | 206 reuse=None): 215 reuse: (optional) Python boolean describing whether to reuse variables 223 super(EmbeddingWrapper, self).__init__(_reuse=reuse) 286 reuse=None): 294 reuse: (optional) Python boolean describing whether to reuse variables 301 super(InputProjectionWrapper, self).__init__(_reuse=reuse) 343 def __init__(self, cell, output_size, activation=None, reuse=None): 350 reuse [all...] |
H A D | rnn_cell.py | 89 normalized = layers.layer_norm(inp, reuse=True, scope=scope) 141 reuse=None, 168 reuse: (optional) Python boolean describing whether to reuse variables 177 super(CoupledInputForgetGateLSTMCell, self).__init__(_reuse=reuse) 191 self._reuse = reuse 339 reuse=None): 357 reuse: (optional) Python boolean describing whether to reuse variables 361 super(TimeFreqLSTMCell, self).__init__(_reuse=reuse) [all...] |
H A D | gru_ops.py | 140 reuse=None, 147 reuse: (optional) boolean describing whether to reuse variables in an 151 share weights, but to avoid mistakes we require reuse=True in such 159 super(GRUBlockCell, self).__init__(_reuse=reuse, name=name)
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/external/libdrm/etnaviv/ |
H A D | etnaviv_bo.c | 132 bo->reuse = 1; 245 if (bo->reuse && (etna_bo_cache_free(&dev->bo_cache, bo) == 0)) 271 bo->reuse = 0; 298 bo->reuse = 0;
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/external/tensorflow/tensorflow/contrib/legacy_seq2seq/python/ops/ |
H A D | seq2seq.py | 148 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): 676 with variable_scope.variable_scope("loop_function", reuse=True): 690 variable_scope.get_variable_scope(), reuse=True): 887 reuse [all...] |
/external/tensorflow/tensorflow/python/eager/ |
H A D | graph_callable.py | 114 initializer=None, regularizer=None, reuse=None, 119 del collections, initializer, trainable, reuse, caching_device, shape, 140 initializer=None, regularizer=None, reuse=None, 147 if reuse: 150 raise ValueError("Specified reuse=%s but tried to reuse variables." 151 % reuse)
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/external/tensorflow/tensorflow/contrib/kfac/python/kernel_tests/ |
H A D | layer_collection_test.py | 244 logits, name='loss1', reuse=True) 275 # Can add when reuse=True 277 logits, targets=targets, name='loss1', reuse=True) 279 # Can add when reuse=VARIABLE_SCOPE and reuse=True there. 281 variable_scope.get_variable_scope(), reuse=True): 286 reuse=layer_collection.VARIABLE_SCOPE) 288 # Can't add when reuse=False 291 logits, targets=targets, name='loss1', reuse=False) 293 # Can't add when reuse [all...] |
/external/tensorflow/tensorflow/contrib/gan/python/ |
H A D | train.py | 91 reuse a subgraph that has already been created. 93 want to reuse a subgraph that has already been created. 111 with variable_scope.variable_scope(dis_scope, reuse=True): 168 reuse a subgraph that has already been created. 170 want to reuse a subgraph that has already been created. 193 with variable_scope.variable_scope(disc_scope, reuse=True): 262 reuse a subgraph that has already been created. 264 want to reuse a subgraph that has already been created. 286 with variable_scope.variable_scope(dis_scope, reuse=True): 338 reuse [all...] |