| /external/apache-http/src/org/apache/http/conn/ |
| BasicEofSensorWatcher.java | 69 * @param reuse whether the connection should be re-used
72 boolean reuse) {
78 attemptReuse = reuse;
|
| BasicManagedEntity.java | 78 * @param reuse whether the connection should be re-used
82 boolean reuse) {
90 this.attemptReuse = reuse;
|
| /external/tensorflow/tensorflow/contrib/layers/python/layers/ |
| 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 or (vocab_size and embed_dim))
[all...] |
| 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:
|
| /frameworks/base/core/java/android/animation/ |
| PointFEvaluator.java | 41 * Constructs a PointFEvaluator that modifies and returns <code>reuse</code>
48 * @param reuse A PointF to be modified and returned by evaluate.
50 public PointFEvaluator(PointF reuse) {
51 mPoint = reuse;
62 * this PointFEvaluator, the object returned will be the <code>reuse</code>
|
| /toolchain/binutils/binutils-2.27/gas/testsuite/gas/arm/ |
| thumb2_vpool.s | 65 # reuse padding slot A
67 # reuse d3
77 # reuse padding slot B
85 # reuse value of s4 in pool
87 # reuse high part of d1 in pool
89 # 8-byte entry reuse two 4-byte entries.
90 # d16 reuse s12, s13
92 # d17 should not reuse high part of d11 and s12.
|
| vldconst.s | 114 # reuse padding slot A
116 # reuse d3
126 # reuse padding slot B
134 # reuse value of s4 in pool
136 # reuse high part of d1 in pool
138 # 8-byte entry reuse two 4-byte entries.
139 # this reuse should only happen for
141 # d16 reuse s12, s13
143 # d17 should not reuse high part of d11 and s12.
|
| /external/tensorflow/tensorflow/contrib/slim/python/slim/nets/ |
| 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=reuse
[all...] |
| 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=reuse
[all...] |
| /external/testng/src/main/java/org/testng/ |
| ITestClass.java | 28 * @param reuse flag if a new set of instances must be returned
35 Object[] getInstances(boolean reuse);
|
| /external/tensorflow/tensorflow/contrib/kfac/python/ops/ |
| 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...] |
| /packages/apps/TV/tuner/src/com/android/tv/tuner/source/ |
| TunerTsStreamerManager.java | 67 boolean reuse) {
82 TunerTsStreamer streamer = creator.create(sessionId, reuse);
100 mTunerHalManager.releaseTunerHal(hal, sessionId, reuse);
104 synchronized void releaseDataSource(TsDataSource source, int sessionId, boolean reuse) {
124 mTunerHalManager.releaseTunerHal(hal, sessionId, reuse);
204 private TunerTsStreamer create(int sessionId, boolean reuse) {
229 mTunerHalManager.releaseTunerHal(hal, sessionId, mCancelled && reuse);
275 private void releaseTunerHal(TunerHal hal, int sessionId, boolean reuse) {
276 if (!reuse || !hal.isReusable()) {
|
| /cts/suite/audio_quality/lib/src/ |
| ClientSocket.cpp | 48 int reuse = 1; local
49 if (setsockopt(mSocket, SOL_SOCKET, SO_REUSEADDR, &reuse, sizeof(reuse)) == -1) {
|
| /external/nanopb-c/examples/network_server/ |
| server.c | 91 int reuse = 1; local
95 setsockopt(listenfd, SOL_SOCKET, SO_REUSEADDR, &reuse, sizeof(reuse));
|
| /external/tensorflow/tensorflow/python/ops/ |
| 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...] |
| 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):
|
| /device/google/contexthub/firmware/os/platform/stm32/flash_script/ |
| Makefile | 20 FLAGS += -mthumb -mcpu=cortex-m4 -march=armv7e-m -mno-thumb-interwork -fno-unwind-tables -fstack-reuse=all -Os -Wall -Werror -nostartfiles
|
| /external/tensorflow/tensorflow/contrib/model_pruning/python/layers/ |
| 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=reuse
[all...] |
| 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=reuse
[all...] |
| /external/tensorflow/tensorflow/contrib/quantize/python/ |
| 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...] |
| /art/runtime/ |
| mem_map.h | 87 // "reuse" allows re-mapping an address range from an existing mapping.
99 bool reuse,
128 /*reuse*/false,
135 // "reuse" allows us to create a view into an existing mapping where we do not take ownership of
148 bool reuse,
238 bool reuse,
|
| /prebuilts/go/darwin-x86/src/runtime/race/testdata/ |
| pool_test.go | 15 // Repeat so that at least one iteration gets reuse.
|
| /prebuilts/go/linux-x86/src/runtime/race/testdata/ |
| pool_test.go | 15 // Repeat so that at least one iteration gets reuse.
|
| /external/tensorflow/tensorflow/python/kernel_tests/ |
| 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=True) as tower_shared
[all...] |
| /device/google/contexthub/firmware/build/ |
| common_config.mk | 33 -fstack-reuse=all \
|
