| /external/libchrome/base/ |
| D | feature_list.cc | 49 bool GetFeatureAndTrialName(StringPiece* feature_name, in GetFeatureAndTrialName()
57 if (!pickle_iter.ReadStringPiece(feature_name)) in GetFeatureAndTrialName()
106 StringPiece feature_name; in InitializeFromSharedMemory() local
108 if (!entry->GetFeatureAndTrialName(&feature_name, &trial_name)) in InitializeFromSharedMemory()
112 RegisterOverride(feature_name, override_state, trial); in InitializeFromSharedMemory()
117 const std::string& feature_name, in IsFeatureOverriddenFromCommandLine() argument
119 auto it = overrides_.find(feature_name); in IsFeatureOverriddenFromCommandLine()
125 const std::string& feature_name, in AssociateReportingFieldTrial() argument
129 IsFeatureOverriddenFromCommandLine(feature_name, for_overridden_state)); in AssociateReportingFieldTrial()
133 OverrideEntry* entry = &overrides_.find(feature_name)->second; in AssociateReportingFieldTrial()
[all …]
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| D | feature_list.h | 112 bool IsFeatureOverriddenFromCommandLine(const std::string& feature_name,
120 void AssociateReportingFieldTrial(const std::string& feature_name,
131 void RegisterFieldTrialOverride(const std::string& feature_name,
253 void RegisterOverride(StringPiece feature_name,
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| /external/tensorflow/tensorflow/python/tools/ |
| D | freeze_graph_test.py | 119 def _createTFExampleString(self, feature_name, feature_value): argument
122 example.features.feature[feature_name].float_list.value.extend([
126 def _writeDummySavedModel(self, path, feature_name): argument
131 feature_name: parsing_ops.FixedLenFeature(shape=[],
135 feature = features[feature_name]
140 "class_%s" % feature_name)
221 feature_name = "feature"
222 self._writeDummySavedModel(saved_model_dir, feature_name)
258 example = self._createTFExampleString(feature_name, feature_value)
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| D | saved_model_cli.py | 434 for feature_name, feature_list in example_dict.items():
437 (feature_name, feature_list, type(feature_list)))
439 example.features.feature[feature_name].float_list.value.extend(
442 example.features.feature[feature_name].bytes_list.value.extend(
445 example.features.feature[feature_name].int64_list.value.extend(
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| /external/tensorflow/tensorflow/core/util/ |
| D | example_proto_fast_parsing.cc | 470 void LogDenseFeatureDataLoss(StringPiece feature_name) { in LogDenseFeatureDataLoss() argument
471 LOG(WARNING) << "Data loss! Feature '" << feature_name in LogDenseFeatureDataLoss()
481 void LogSparseFeatureDataLoss(StringPiece feature_name) { in LogSparseFeatureDataLoss() argument
482 LOG(WARNING) << "Data loss! Feature '" << feature_name in LogSparseFeatureDataLoss()
517 const StringPiece feature_name = name_and_feature.first; in FastParseSerializedExample() local
521 uint64 h = hasher(feature_name); in FastParseSerializedExample()
531 ? config.dense[d].feature_name in FastParseSerializedExample()
532 : config.sparse[d].feature_name; in FastParseSerializedExample()
533 if (feature_name != config_feature_name) continue; in FastParseSerializedExample()
538 ", Key: ", feature_name, in FastParseSerializedExample()
[all …]
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| D | example_proto_fast_parsing.h | 44 string feature_name; member
56 string feature_name; member
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| /external/tensorflow/tensorflow/core/platform/ |
| D | cpu_feature_guard.cc | 29 void CheckFeatureOrDie(CPUFeature feature, const string& feature_name) { in CheckFeatureOrDie() argument
38 << "The TensorFlow library was compiled to use " << feature_name in CheckFeatureOrDie()
44 void CheckIfFeatureUnused(CPUFeature feature, const string& feature_name, in CheckIfFeatureUnused() argument
48 missing_instructions.append(feature_name); in CheckIfFeatureUnused()
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| /external/mesa3d/src/mapi/glapi/gen/ |
| D | gl_enums.py | 252 feature_name = feature.get('name')
258 m = re.match('GL_VERSION_([0-9])_([0-9])', feature_name)
262 m = re.match('GL_ES_VERSION_([0-9])_([0-9])', feature_name)
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| /external/tensorflow/tensorflow/contrib/timeseries/python/timeseries/ |
| D | ar_model_test.py | 292 for feature_name in raw_evaluation.predictions:
296 raw_evaluation_evaled.predictions[feature_name].shape)
298 np.reshape(chunked_evaluation_evaled.predictions[feature_name],
300 np.reshape(raw_evaluation_evaled.predictions[feature_name],
326 for feature_name in raw_evaluation.predictions:
331 raw_evaluation_evaled.predictions[feature_name].shape)
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| D | ar_model.py | 455 features = {feature_name: ops.convert_to_tensor(feature_value)
456 for feature_name, feature_value in features.items()}
485 features = {feature_name: feature_value[:, -crop_length:]
486 for feature_name, feature_value in features.items()}
500 feature_name:
502 for feature_name, feature_value in features.items()},
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| D | input_pipeline_test.py | 239 data = {feature_name: feature_value[None]
240 for feature_name, feature_value in data_nobatch.items()}
319 data = {feature_name: feature_value[None]
320 for feature_name, feature_value in data_nobatch.items()}
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| D | input_pipeline.py | 278 return {feature_name: array_ops.squeeze(feature_value, axis=0)
279 for feature_name, feature_value in features.items()}
602 return ({feature_name: feature_value[None, ...]
603 for feature_name, feature_value in features.items()},
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| D | head.py | 267 feature_name=name,
316 feature_name=feature_keys.TrainEvalFeatures.VALUES,
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| /external/tensorflow/tensorflow/contrib/boosted_trees/estimator_batch/ |
| D | custom_export_strategy.py | 109 for feature_name in sorted_feature_names:
111 model_and_features.features[feature_name].SetInParent()
113 model_and_features.features[feature_name].CopyFrom(
114 feature_name_to_proto[feature_name])
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| /external/tensorflow/tensorflow/compiler/xla/service/cpu/ |
| D | simple_orc_jit.cc | 53 llvm::StringRef feature_name = feature.first(); in DetectMachineAttributes() local
55 if (feature_name.startswith("avx512")) { in DetectMachineAttributes()
58 result.push_back(feature_name); in DetectMachineAttributes()
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| /external/tensorflow/tensorflow/contrib/tensor_forest/kernels/v4/ |
| D | input_data.h | 104 void RandomSample(int example, decision_trees::FeatureId* feature_name,
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| /external/vulkan-validation-layers/layers/ |
| D | shader_validation.cpp | 1112 …require_feature(debug_report_data const *report_data, VkBool32 feature, char const *feature_name) { in require_feature() argument
1116 … "Shader requires VkPhysicalDeviceFeatures::%s but is not enabled on the device", feature_name)) { in require_feature()
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| /external/tensorflow/tensorflow/docs_src/get_started/ |
| D | datasets_quickstart.md | 45 * `features`: A `{'feature_name':array}` dictionary (or
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| /external/mesa3d/ |
| D | configure.ac | 2256 feature_name="$1"
2261 AC_MSG_CHECKING([whether $CXX supports $feature_name])
2290 AC_MSG_ERROR([swr requires $feature_name support])
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| /external/clang/docs/ |
| D | LanguageExtensions.rst | 519 These are macros with names of the form ``__cpp_<feature_name>``, and are
|