/external/rust/crates/crossbeam-channel/benches/ |
D | crossbeam.rs | 40 let steps = TOTAL_STEPS / threads; in par_inout() localVariable 49 for i in 0..steps { in par_inout() 73 let steps = TOTAL_STEPS; in spsc() localVariable 81 for i in 0..steps { in spsc() 90 for _ in 0..steps { in spsc() 103 let steps = TOTAL_STEPS / threads; in spmc() localVariable 112 for _ in 0..steps { in spmc() 124 for i in 0..steps * threads { in spmc() 139 let steps = TOTAL_STEPS / threads; in mpsc() localVariable 148 for i in 0..steps { in mpsc() [all …]
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/external/tensorflow/tensorflow/python/keras/engine/ |
D | training_distributed_v1.py | 143 steps_per_epoch: Total number of steps (batches of samples) 147 validation_steps: Number of steps to run validation for 211 count_mode='steps', 214 # Calculate the steps each time on the device. 271 steps=validation_steps, 296 steps=None, argument 304 steps: Total number of steps (batches of samples) 356 progbar = Progbar(target=steps) 368 steps_per_epoch=steps, 370 count_mode='steps', [all …]
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D | training_generator_v1.py | 59 steps_name='steps', 68 steps_per_epoch: Total number of steps (batches of samples) before 81 validation_steps: Total number of steps (batches of samples) before 110 steps_name: The string name of the steps argument, either `steps`, 113 **kwargs: Additional arguments for backwards compatibility. `steps` is 124 if 'steps' in kwargs: 125 steps_per_epoch = kwargs['steps'] 127 # Determine the number of steps per epoch and whether we should reset the 169 count_mode = 'steps' if use_steps else 'samples' 184 True, steps=steps_per_epoch) [all …]
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D | training_arrays_v1.py | 65 steps_name='steps', 90 steps_per_epoch: Total number of steps (batches of samples) before 93 validation_steps: Number of steps to run validation for (only if doing 112 steps_name: The string name of the steps argument, either `steps`, 126 if 'steps' in kwargs: 127 steps_per_epoch = kwargs.pop('steps') 194 # that determines the number of steps required. To avoid this issue, 205 # Get num steps for printing. 216 count_mode = 'steps' if use_steps else 'samples' 242 steps=steps_per_epoch) [all …]
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/external/python/cpython3/.azure-pipelines/ |
D | ci.yml | 13 steps: 25 steps: 26 - template: ./docs-steps.yml 45 steps: 46 - template: ./macos-steps.yml 62 steps: 63 - template: ./posix-steps.yml 88 steps: 89 - template: ./posix-steps.yml 117 steps: [all …]
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D | pr.yml | 13 steps: 25 steps: 26 - template: ./docs-steps.yml 43 steps: 44 - template: ./macos-steps.yml 62 steps: 63 - template: ./posix-steps.yml 88 steps: 89 - template: ./posix-steps.yml 120 steps: [all …]
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/external/oss-fuzz/infra/build/functions/ |
D | base_images.py | 39 """Returns build steps for given images.""" 40 steps = [{ 49 steps.append({ 60 return steps 71 def run_build(steps, images): argument 72 """Execute the retrieved build steps in gcp.""" 75 'steps': steps, 98 steps = _get_base_image_steps(BASE_IMAGES, tag_prefix) 101 run_build(steps, images) 105 """Get build steps for msan-libs-builder.""" [all …]
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/external/apache-commons-math/src/main/java/org/apache/commons/math/ode/ |
D | ContinuousOutputModel.java | 38 * stores a copy of all steps information in a sorted collection for 64 * output model handles the steps of all integration phases, the user 78 * is large, if the integration interval is long or if the steps are 107 /** Steps table. */ 108 private List<StepInterpolator> steps; field in ContinuousOutputModel 114 steps = new ArrayList<StepInterpolator>(); in ContinuousOutputModel() 129 if (model.steps.size() == 0) { in append() 133 if (steps.size() == 0) { in append() 149 final StepInterpolator lastInterpolator = steps.get(index); in append() 161 for (StepInterpolator interpolator : model.steps) { in append() [all …]
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/external/python/google-api-python-client/docs/dyn/ |
D | games_v1.achievements.html | 79 <p class="firstline">Increments the steps of the achievement with the given ID for the currently au… 90 <code><a href="#setStepsAtLeast">setStepsAtLeast(achievementId, steps)</a></code></p> 91 … the steps for the currently authenticated player towards unlocking an achievement. If the steps p… 101 …<pre>Increments the steps of the achievement with the given ID for the currently authenticated pla… 105 stepsToIncrement: integer, The number of steps to increment. (required) 112 "currentSteps": 42, # The current steps recorded for this incremental achievement. 113 …Unlocked": True or False, # Whether the current steps for the achievement has reached the number o… 148 "currentSteps": 42, # The current steps for an incremental achievement. 150 …"formattedCurrentStepsString": "A String", # The current steps for an incremental achievement as a… 192 <code class="details" id="setStepsAtLeast">setStepsAtLeast(achievementId, steps)</code> [all …]
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/external/python/cpython3/Lib/ |
D | pipes.py | 8 conversion involves several steps (e.g. piping it through compress or 9 uuencode). Some of the conversion steps may require that their input 15 more conversion steps together. It will take care of creating and 22 different conversion steps and store them in a dictionary, for 92 return '<Template instance, steps=%r>' % (self.steps,) 96 self.steps = [] 102 t.steps = self.steps[:] 118 if self.steps and self.steps[-1][1] == SINK: 124 self.steps.append((cmd, kind)) 134 if self.steps and self.steps[0][1] == SOURCE: [all …]
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/external/python/cpython2/Lib/ |
D | pipes.py | 8 conversion involves several steps (e.g. piping it through compress or 9 uuencode). Some of the conversion steps may require that their input 15 more conversion steps together. It will take care of creating and 22 different conversion steps and store them in a dictionary, for 90 return '<Template instance, steps=%r>' % (self.steps,) 94 self.steps = [] 100 t.steps = self.steps[:] 119 if self.steps and self.steps[-1][1] == SINK: 128 self.steps.append((cmd, kind)) 141 if self.steps and self.steps[0][1] == SOURCE: [all …]
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/external/zstd/.github/workflows/ |
D | generic-dev.yml | 27 steps: 34 steps: 41 steps: 55 steps: 66 steps: 77 steps: 89 steps: 100 steps: 109 steps: 118 steps: [all …]
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/external/libhevc/decoder/ |
D | ihevcd_statistics.h | 100 …l_size_hist[16][16]; /* PU Sizes [Width from 4 to 64 in steps of 4] [Height from 4 to 64 in steps … 101 …st[16][16]; /* PU sizes for skip [Width from 4 to 64 in steps of 4] [Height from 4 to 64 in steps … 102 …t[16][16]; /* PU sizes for inter [Width from 4 to 64 in steps of 4] [Height from 4 to 64 in steps … 103 …t[16][16]; /* PU sizes for intra [Width from 4 to 64 in steps of 4] [Height from 4 to 64 in steps … 104 …[16][16]; /* PU sizes for bipred [Width from 4 to 64 in steps of 4] [Height from 4 to 64 in steps … 105 …t[16][16]; /* PU sizes for merge [Width from 4 to 64 in steps of 4] [Height from 4 to 64 in steps … 106 …16][16]; /* PU sizes for Zero MV [Width from 4 to 64 in steps of 4] [Height from 4 to 64 in steps … 107 …l less than +/- 1 full pel units [Width from 4 to 64 in steps of 4] [Height from 4 to 64 in steps …
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/external/skia/site/docs/user/ |
D | color.md | 22 All color managed drawing is divided into six parts, three steps connecting the 23 source colors to that XYZ D50 space, then three symmetric steps connecting back 24 from XYZ D50 to the destination color space. Some of these steps can 27 the same. Here are the steps: 29 Color management steps 42 type called SkColorSpaceXformSteps. You'll see it as 5 steps there: we always 48 Whenever we're about to do some drawing we look at which of those steps we 66 whichever lets us skip more steps. 70 with that same color space, we'll notice we can skip all six steps. Sometimes 71 fewer steps are needed, sometimes more. In general if you need to do a gamut [all …]
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/external/tensorflow/tensorflow/compiler/tests/ |
D | ftrl_test.py | 42 def equivAdagradTest_FtrlPart(self, steps, dtype): argument 56 # Run Ftrl for a few steps 57 for _ in range(steps): 62 def equivAdagradTest_AdagradPart(self, steps, dtype): argument 71 # Run Adagrad for a few steps 72 for _ in range(steps): 77 def equivGradientDescentTest_FtrlPart(self, steps, dtype): argument 91 # Run Ftrl for a few steps 92 for _ in range(steps): 97 def equivGradientDescentTest_GradientDescentPart(self, steps, dtype): argument [all …]
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/external/llvm-project/openmp/runtime/test/ompt/misc/ |
D | api_calls_misc.c | 24 int steps = 0; in main() local 25 while (ompt_enumerate_states(state, &state, &state_name) && steps < 1000) { in main() 26 steps++; in main() 31 if (steps >= 1000) { in main() 32 // enumeration did not end after 1000 steps in main() 40 steps = 0; in main() 42 steps < 1000) { in main() 43 steps++; in main() 48 if (steps >= 1000) { in main() 49 // enumeration did not end after 1000 steps in main()
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/external/tensorflow/tensorflow/python/keras/distribute/ |
D | multi_worker_callback_tf2_test.py | 65 A tuple of (model, saving_filepath, train_ds, steps) where train_ds is 69 steps = 2 74 batch_size, steps) 80 return model, saving_filepath, train_ds, steps 100 model, saving_filepath, train_ds, steps = _model_setup( 120 steps_per_epoch=steps, 122 validation_steps=steps, 152 model, _, train_ds, steps = _model_setup(test_obj, file_format='') 161 steps_per_epoch=steps, 194 model, _, train_ds, steps = _model_setup(test_obj, file_format='') [all …]
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/external/skia/src/gpu/ |
D | GrColorSpaceXform.h | 24 GrColorSpaceXform(const SkColorSpaceXformSteps& steps) : fSteps(steps) {} in GrColorSpaceXform() argument 31 const SkColorSpaceXformSteps& steps() const { return fSteps; } in steps() function 38 // Code generation depends on which steps we apply, in XformKey() 42 const SkColorSpaceXformSteps& steps(xform->fSteps); in XformKey() 43 uint32_t key = steps.flags.mask(); in XformKey() 44 if (steps.flags.linearize) { in XformKey() 45 key |= classify_transfer_fn(steps.srcTF) << 8; in XformKey() 47 if (steps.flags.encode) { in XformKey() 48 key |= classify_transfer_fn(steps.dstTFInv) << 16; in XformKey()
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/external/llvm-project/libcxx/utils/libcxx/test/ |
D | format.py | 158 separate compilation and linking steps in this case. 234 steps = [ ] # The steps are already in the script 235 return self._executeShTest(test, litConfig, steps) 237 steps = [ 240 return self._executeShTest(test, litConfig, steps) 242 steps = [ 245 return self._executeShTest(test, litConfig, steps) 247 steps = [ 250 return self._executeShTest(test, litConfig, steps) 252 steps = [ [all …]
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/external/mesa3d/.gitlab-ci/ |
D | traces-panfrost.yml | 85 - path: glmark2/conditionals-fragment-steps=0:vertex-steps=0.rdc 89 - path: glmark2/conditionals-fragment-steps=0:vertex-steps=5.rdc 93 - path: glmark2/conditionals-fragment-steps=5:vertex-steps=0.rdc 109 - path: glmark2/function-fragment-complexity=low:fragment-steps=5.rdc 113 - path: glmark2/function-fragment-complexity=medium:fragment-steps=5.rdc 129 - path: glmark2/loop-fragment-loop=false:fragment-steps=5:vertex-steps=5.rdc 133 - path: glmark2/loop-fragment-steps=5:fragment-uniform=false:vertex-steps=5.rdc 137 - path: glmark2/loop-fragment-steps=5:fragment-uniform=true:vertex-steps=5.rdc
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D | traces-radeonsi.yml | 73 - path: glmark2/conditionals-fragment-steps=0:vertex-steps=0.rdc 77 - path: glmark2/conditionals-fragment-steps=0:vertex-steps=5.rdc 81 - path: glmark2/conditionals-fragment-steps=5:vertex-steps=0.rdc 97 - path: glmark2/function-fragment-complexity=low:fragment-steps=5.rdc 101 - path: glmark2/function-fragment-complexity=medium:fragment-steps=5.rdc 117 - path: glmark2/loop-fragment-loop=false:fragment-steps=5:vertex-steps=5.rdc 121 - path: glmark2/loop-fragment-steps=5:fragment-uniform=false:vertex-steps=5.rdc 125 - path: glmark2/loop-fragment-steps=5:fragment-uniform=true:vertex-steps=5.rdc
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/external/llvm-project/debuginfo-tests/dexter/dex/heuristic/ |
D | Heuristic.py | 79 '--penalty-misordered-steps', 82 help='set the penalty for differences in the order of steps' 101 def __init__(self, context, steps): argument 114 for command in steps.commands['DexExpectWatchType']: 115 command.eval(steps) 128 for command in steps.commands['DexExpectWatchValue']: 129 command.eval(steps) 143 for expect_state in steps.commands['DexExpectProgramState']: 144 success = expect_state.eval(steps) 167 for step in getattr(steps, 'steps'): [all …]
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/external/libxml2/ |
D | pattern.c | 102 int nbStep; /* number of steps in the automata */ 103 int maxStep; /* allocated number of steps */ 104 xmlStreamStepPtr steps; /* the array of steps */ member 172 xmlStepOpPtr steps; /* ops for computation */ member 214 cur->steps = (xmlStepOpPtr) xmlMalloc(cur->maxStep * sizeof(xmlStepOp)); in xmlNewPattern() 215 if (cur->steps == NULL) { in xmlNewPattern() 246 if (comp->steps != NULL) { in xmlFreePatternInternal() 249 op = &comp->steps[i]; in xmlFreePatternInternal() 256 xmlFree(comp->steps); in xmlFreePatternInternal() 356 temp = (xmlStepOpPtr) xmlRealloc(comp->steps, comp->maxStep * 2 * in xmlPatternAdd() [all …]
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/external/llvm-project/clang/test/SemaCXX/ |
D | constexpr-steps.cpp | 1 // RUN: %clang_cc1 -std=c++1y -fsyntax-only -verify %s -DMAX=1234 -fconstexpr-steps 1234 2 // RUN: %clang_cc1 -std=c++1y -fsyntax-only -verify %s -DMAX=10 -fconstexpr-steps 10 3 // RUN: %clang -std=c++1y -fsyntax-only -Xclang -verify %s -DMAX=12345 -fconstexpr-steps=12345 5 // This takes a total of n + 4 steps according to our current rules: 11 constexpr bool steps(int n) { in steps() function 16 static_assert(steps((MAX - 4)), ""); // ok 17 static_assert(steps((MAX - 3)), ""); // expected-error {{constant}} expected-note{{call}}
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/external/clang/test/SemaCXX/ |
D | constexpr-steps.cpp | 1 // RUN: %clang_cc1 -std=c++1y -fsyntax-only -verify %s -DMAX=1234 -fconstexpr-steps 1234 2 // RUN: %clang_cc1 -std=c++1y -fsyntax-only -verify %s -DMAX=10 -fconstexpr-steps 10 3 // RUN: %clang -std=c++1y -fsyntax-only -Xclang -verify %s -DMAX=12345 -fconstexpr-steps=12345 5 // This takes a total of n + 4 steps according to our current rules: 11 constexpr bool steps(int n) { in steps() function 16 static_assert(steps((MAX - 4)), ""); // ok 17 static_assert(steps((MAX - 3)), ""); // expected-error {{constant}} expected-note{{call}}
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