| /external/libtextclassifier/lang_id/common/flatbuffers/ |
| D | model-utils.cc | 41 const mobile::uint32 expected_crc32 = model.crc32(); in ClearlyFailsChecksum()
42 const mobile::uint32 actual_crc32 = ComputeCrc2Checksum(&model); in ClearlyFailsChecksum()
97 mobile::StringPiece GetInputBytes(const ModelInput *input) { in GetInputBytes()
100 return mobile::StringPiece(nullptr, 0); in GetInputBytes()
105 return mobile::StringPiece(nullptr, 0); in GetInputBytes()
107 return mobile::StringPiece(reinterpret_cast<const char *>(input_data->data()), in GetInputBytes()
111 bool FillParameters(const Model &model, mobile::TaskContext *context) { in FillParameters()
154 void UpdateCrc(mobile::Crc32 *crc, const flatbuffers::Vector<T> *s, in UpdateCrc()
155 mobile::StringPiece info) { in UpdateCrc()
168 mobile::uint32 ComputeCrc2Checksum(const Model *model) { in ComputeCrc2Checksum()
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| D | model-utils.h | 42 inline const Model *GetVerifiedModelFromBytes(mobile::StringPiece bytes) { in GetVerifiedModelFromBytes()
53 mobile::StringPiece GetInputBytes(const ModelInput *input);
59 bool FillParameters(const Model &model, mobile::TaskContext *context);
67 mobile::uint32 ComputeCrc2Checksum(const Model *model);
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| /external/libtextclassifier/lang_id/common/lite_base/ |
| D | compact-logging.h | 28 namespace mobile {
111 ::libtextclassifier3::mobile::internal_logging::LogMessage( \
112 ::libtextclassifier3::mobile::internal_logging::severity, __FILE__, __LINE__) \
132 ::libtextclassifier3::mobile::internal_logging::NullStream().stream()
170 ::libtextclassifier3::mobile::internal_logging::LogMessage( \
171 ::libtextclassifier3::mobile::internal_logging::INFO, __FILE__, __LINE__) \
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| D | compact-logging-raw.cc | 30 namespace mobile { namespace
71 namespace mobile { namespace
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| D | compact-logging-raw.h | 25 namespace mobile {
|
| /external/tensorflow/tensorflow/lite/g3doc/guide/ |
| D | index.md | 4 TensorFlow Lite is TensorFlow’s lightweight solution for mobile and embedded
11 optimizing the kernels for mobile apps, pre-fused activations, and quantized
21 float, which have been tuned for mobile platforms. They incorporate pre-fused
35 TensorFlow Lite has a new mobile-optimized interpreter, which has the key goals
45 ## Why do we need a new mobile-specific library?
48 trend of new use cases on mobile and embedded devices. Consumer expectations are
59 have led to mobile-optimized benchmark models being open sourced
66 to leave the mobile device.
72 processing on mobile and embedded devices.
79 tuned for mobile platforms. These can be used to create and run custom
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| /external/libtextclassifier/lang_id/ |
| D | lang-id_jni.cc | 30 using libtextclassifier3::mobile::lang_id::GetLangIdFromFlatbufferFile;
31 using libtextclassifier3::mobile::lang_id::GetLangIdFromFlatbufferFileDescriptor;
32 using libtextclassifier3::mobile::lang_id::LangId;
33 using libtextclassifier3::mobile::lang_id::LangIdResult;
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| D | light-sentence.h | 24 namespace mobile {
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| /external/toolchain-utils/deprecated/repo_to_repo_files/ |
| D | gcc-branches_google_4_7.json.rtr | 6 "branches/google/gcc-4_7-mobile"
18 "branch": "gcc.gnu.org/branches/google/gcc-4_7-mobile",
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| /external/libtextclassifier/lang_id/common/ |
| D | registry.h | 138 namespace mobile {
295 const char ::libtextclassifier3::mobile::RegisterableClass<base_class>::kRegistryName[]
301 ::libtextclassifier3::mobile::RegisterableClass<base_class>::kRegistryName[] \
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| D | embedding-network-params.h | 94 const ::libtextclassifier3::mobile::float16 *quant_scales = nullptr;
182 mobile::TaskContext *task_context) = 0;
216 virtual const ::libtextclassifier3::mobile::float16 *embeddings_quant_scales( in embeddings_quant_scales()
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| /external/antlr/runtime/JavaScript/src/org/ |
| D | antlr.js | 150 mobile: null, property
185 o.mobile = "Apple"; // iPhone or iPod Touch
189 o.mobile = m[0]; // Nokia N-series, ex: NokiaN95
207 o.mobile = m[0]; // ex: Opera Mini/2.0.4509/1316
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| /external/skqp/tools/skp/page_sets/other/ |
| D | CRASHING-skia_wikipedia_galaxynexus.json | 18 self.user_agent_type = 'mobile'
32 user_agent_type='mobile',
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| /external/libtextclassifier/lang_id/script/ |
| D | tiny-script-detector.h | 23 namespace mobile {
167 return libtextclassifier3::mobile::lang_id::GetScript(s, num_bytes); in GetScript()
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| D | script-detector.cc | 20 namespace mobile { namespace
|
| D | tiny-script-detector.cc | 20 namespace mobile { namespace
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| D | approx-script-data.cc | 27 namespace mobile { namespace
|
| /external/skia/tools/skp/page_sets/other/ |
| D | CRASHING-skia_wikipedia_galaxynexus.json | 18 self.user_agent_type = 'mobile'
32 user_agent_type='mobile',
|
| /external/robolectric-shadows/shadows/framework/src/main/java/org/robolectric/shadows/ |
| D | ShadowConnectivityManager.java | 56 NetworkInfo mobile = ShadowNetworkInfo.newInstance(NetworkInfo.DetailedState.CONNECTED, in ShadowConnectivityManager() local
58 networkTypeToNetworkInfo.put(ConnectivityManager.TYPE_MOBILE, mobile); in ShadowConnectivityManager()
60 this.activeNetworkInfo = mobile; in ShadowConnectivityManager()
66 netIdToNetworkInfo.put(NET_ID_MOBILE, mobile); in ShadowConnectivityManager()
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| /external/webrtc/ |
| D | README.md | 1 **WebRTC is a free, open software project** that provides browsers and mobile
6 developed for the browser, mobile platforms, and IoT devices, and allow them
|
| /external/tensorflow/tensorflow/lite/g3doc/performance/ |
| D | best_practices.md | 21 One example of models optimized for mobile devices are
22 [MobileNets](https://arxiv.org/abs/1704.04861), which are optimized for mobile
24 models that have been optimized specifically for mobile and embedded devices.
28 …[object detection](https://medium.com/tensorflow/training-and-serving-a-realtime-mobile-object-det…
47 more energy efficient, so that they can be deployed on mobile devices.
76 particularly the case for mobile apps. For example, isolated tests may show 2x
|
| /external/tensorflow/tensorflow/cc/saved_model/ |
| D | BUILD | 44 # cannot be built on mobile platforms. Instead, include the appropriate
106 # mobile not supported yet
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| /external/libtextclassifier/lang_id/features/ |
| D | light-sentence-features.cc | 20 namespace mobile { namespace
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| D | light-sentence-features.h | 25 namespace mobile {
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| /external/libtextclassifier/lang_id/common/lite_strings/ |
| D | str-split.h | 25 namespace mobile {
|