| /frameworks/base/packages/FusedLocation/src/com/android/location/fused/ |
| FusedLocationService.java | 17 package com.android.location.fused;
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| FusedLocationProvider.java | 17 package com.android.location.fused;
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| FusionEngine.java | 17 package com.android.location.fused;
46 private static final String FUSED = LocationProviderBase.FUSED_PROVIDER;
235 mFusedLocation.setProvider(FUSED);
288 s.append("fused=").append(mFusedLocation).append('\n');
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| /cts/tests/inputmethod/mockime/src/com/android/cts/mockime/ |
| ImeEventStream.java | 144 boolean fused) {
147 fused ? event.getEnterWallTime() :
153 sb.append(fused ? "" : event.isEnterEvent() ? "[" : "]");
154 if (fused || event.isEnterEvent()) {
174 final boolean fused = areEnterExitPairedMessages(latest, i);
175 if (i == mCurrentPosition || (fused && ((i + 1) == mCurrentPosition))) {
178 dumpEvent(sb, latest.mArray[fused ? ++i : i], fused);
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| /external/tensorflow/tensorflow/compiler/xla/service/ |
| logical_buffer_analysis.cc | 33 for (auto* fused : instruction->fused_instructions()) {
34 if (fused->opcode() == HloOpcode::kFusion) {
35 GatherFusionInstructions(fused, fusion_instructions);
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| batchnorm_expander.cc | 221 auto fused = computation_->CreateFusionInstruction( local
225 sum = add(HloInstruction::CreateGetTupleElement(feature_shape, fused, 0));
228 add(HloInstruction::CreateGetTupleElement(feature_shape, fused, 1));
518 auto fused = computation_->CreateFusionInstruction( local
523 add(HloInstruction::CreateGetTupleElement(feature_shape, fused, 0));
526 add(HloInstruction::CreateGetTupleElement(feature_shape, fused, 1));
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| tuple_points_to_analysis.cc | 130 for (auto* fused : instruction->fused_instructions()) {
131 if (fused->opcode() == HloOpcode::kFusion) {
132 GatherFusionInstructions(fused, fusion_instructions);
553 for (auto* fused : instruction->fused_instructions()) {
554 InstructionToString(fused, &output);
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| hlo_verifier.cc | 622 "Instruction of fused computation does not match expected instruction "
627 // Fused root instruction and fused parameters must all be owned by the fusion
664 // Fused root must have no users.
670 // All uses of fused instructions must be in the fusion computation, and every
690 // Fused parameter instructions must be numbered contiguously and match up
755 for (const auto& fused : instruction->fused_instructions()) {
756 TF_RET_CHECK(fused->parent() ==
758 << "Fused HLO was missing a parent: " << fused->ToString(
[all...] |
| tuple_points_to_analysis_test.cc | 654 // Run points-to analysis (should include fused instructions from 'fusion').
709 fusion->fused_instructions().end(), [=](const HloInstruction* fused) {
710 return fused->opcode() == HloOpcode::kParameter &&
711 fusion->operand(fused->parameter_number()) == operand
[all...] |
| /external/tensorflow/tensorflow/contrib/rnn/python/kernel_tests/ |
| fused_rnn_cell_test.py | 83 for basic, fused in zip(basic_wgrads, fused_static_wgrads):
84 self.assertAllClose(basic, fused, rtol=1e-2, atol=1e-2)
105 for basic, fused in zip(basic_wgrads, fused_dynamic_wgrads):
106 self.assertAllClose(basic, fused, rtol=1e-2, atol=1e-2)
137 with variable_scope.variable_scope("fused", initializer=initializer):
149 if v.name.startswith("fused/")
161 for basic, fused in zip(basic_wgrads, fused_wgrads):
162 self.assertAllClose(basic, fused, rtol=1e-2, atol=1e-2)
|
| lstm_ops_test.py | 332 for basic, fused in zip(block_wgrads, fused_wgrads):
333 self.assertAllClose(basic, fused, rtol=1e-6, atol=1e-6)
350 for basic, fused in zip(block_wgrads, fused_wgrads):
351 self.assertAllClose(basic, fused, rtol=1e-6, atol=1e-6)
429 for fused, unfused in zip(fused_wgrads, unfused_wgrads):
430 self.assertAllClose(fused, unfused, rtol=1e-6, atol=1e-6)
|
| /external/tensorflow/tensorflow/contrib/quantize/python/ |
| fold_batch_norms_test.py | 59 # Fused batch norm always has scaling enabled.
78 fused_batch_norm: Bool, when true the batch norm is fused.
99 scale=has_scaling, fused=fused_batch_norm),
148 fused_batch_norm: Bool, when true the batch norm is fused.
168 scale=has_scaling, fused=fused_batch_norm),
213 fused_batch_norm: Bool, when true the batch norm is fused.
231 scale=has_scaling, fused=fused_batch_norm),
277 fused_batch_norm: Bool, when true the batch norm is fused.
298 scale=has_scaling, fused=fused_batch_norm),
354 fused_batch_norm: Bool, when true the batch norm is fused
[all...] |
| graph_matcher_test.py | 43 [layers.batch_norm], fused=True, is_training=True, trainable=True):
|
| quantize_parameterized_test.py | 578 def _BatchNormParams(self, fused=False):
579 return {'center': True, 'scale': True, 'decay': 1.0 - 0.003, 'fused': fused}
|
| /prebuilts/go/darwin-x86/src/cmd/compile/internal/gc/testdata/ |
| fp.go | 242 // supports fused multiply-add instructions.
244 {0.6046603, 0.9405091, 0.6645601, 1.2332485}, // fused multiply-add result: 1.2332486
245 {0.67908466, 0.21855305, 0.20318687, 0.3516029}, // fused multiply-add result: 0.35160288
246 {0.29311424, 0.29708257, 0.752573, 0.8396522}, // fused multiply-add result: 0.8396521
247 {0.5305857, 0.2535405, 0.282081, 0.41660595}, // fused multiply-add result: 0.41660598
248 {0.29711226, 0.89436173, 0.097454615, 0.36318043}, // fused multiply-add result: 0.36318046
249 {0.6810783, 0.24151509, 0.31152245, 0.47601312}, // fused multiply-add result: 0.47601315
250 {0.73023146, 0.18292491, 0.4283571, 0.5619346}, // fused multiply-add result: 0.56193465
251 {0.89634174, 0.32208398, 0.7211478, 1.009845}, // fused multiply-add result: 1.0098451
252 {0.6280982, 0.12675293, 0.2813303, 0.36094356}, // fused multiply-add result: 0.360943
[all...] |
| /prebuilts/go/linux-x86/src/cmd/compile/internal/gc/testdata/ |
| fp.go | 242 // supports fused multiply-add instructions.
244 {0.6046603, 0.9405091, 0.6645601, 1.2332485}, // fused multiply-add result: 1.2332486
245 {0.67908466, 0.21855305, 0.20318687, 0.3516029}, // fused multiply-add result: 0.35160288
246 {0.29311424, 0.29708257, 0.752573, 0.8396522}, // fused multiply-add result: 0.8396521
247 {0.5305857, 0.2535405, 0.282081, 0.41660595}, // fused multiply-add result: 0.41660598
248 {0.29711226, 0.89436173, 0.097454615, 0.36318043}, // fused multiply-add result: 0.36318046
249 {0.6810783, 0.24151509, 0.31152245, 0.47601312}, // fused multiply-add result: 0.47601315
250 {0.73023146, 0.18292491, 0.4283571, 0.5619346}, // fused multiply-add result: 0.56193465
251 {0.89634174, 0.32208398, 0.7211478, 1.009845}, // fused multiply-add result: 1.0098451
252 {0.6280982, 0.12675293, 0.2813303, 0.36094356}, // fused multiply-add result: 0.360943
[all...] |
| /external/tensorflow/tensorflow/python/layers/ |
| normalization.py | 97 fused: if `None` or `True`, use a faster, fused implementation if possible.
139 fused=None,
166 if fused is None:
167 fused = True
169 self.fused = fused
219 if self.fused:
220 # Currently fused batch norm doesn't support renorm. It also only supports
224 self.fused = (not self.renorm an
[all...] |
| normalization_test.py | 42 def _simple_model(self, image, fused, freeze_mode):
50 bn_layer = normalization_layers.BatchNormalization(fused=fused)
286 bn = normalization_layers.BatchNormalization(axis=1, fused=True)
519 axis=3, epsilon=epsilon, momentum=0.9, fused=True)
560 axis=1, epsilon=epsilon, momentum=0.9, fused=True)
[all...] |
| /frameworks/compile/libbcc/include/bcc/ |
| RSCompilerDriver.h | 155 const std::list<std::string>& fused,
|
| /external/tensorflow/tensorflow/contrib/layers/python/layers/ |
| layers_test.py | [all...] |
| /frameworks/compile/libbcc/lib/ |
| RSCompilerDriver.cpp | 308 const std::list<std::string>& fused,
361 // Create fused kernels
365 for (const std::string& nameOfFused : fused) {
397 // Compile the new module with fused kernels
|
| /packages/services/Car/tests/carservice_test/src/com/android/car/ |
| VmsHalServiceSubscriptionEventTest.java | 142 int fused = v.get(VmsMessageWithLayerIntegerValuesIndex.LAYER_SUBTYPE); local
|
| /build/soong/cc/config/ |
| clang.go | 73 "-mno-fused-madd",
|
| mips_device.go | 61 "-mno-fused-madd",
|
| /external/tensorflow/tensorflow/compiler/tests/ |
| image_ops_test.py | 284 fused = False
285 if not fused:
286 # The tests are known to pass with the fused adjust_hue. We will enable
287 # them when the fused implementation is the default.
291 fused = False
|
