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/aosp12/frameworks/native/vulkan/vkjson/
H A Dvkjson.cc558 visitor->Visit("logicOp", &features->logicOp) && in Iterate()
561 visitor->Visit("depthClamp", &features->depthClamp) && in Iterate()
564 visitor->Visit("depthBounds", &features->depthBounds) && in Iterate()
565 visitor->Visit("wideLines", &features->wideLines) && in Iterate()
566 visitor->Visit("largePoints", &features->largePoints) && in Iterate()
567 visitor->Visit("alphaToOne", &features->alphaToOne) && in Iterate()
590 visitor->Visit("shaderInt64", &features->shaderInt64) && in Iterate()
591 visitor->Visit("shaderInt16", &features->shaderInt16) && in Iterate()
725 &features->storageInputOutput16); in Iterate()
763 &features->samplerYcbcrConversion); in Iterate()
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/aosp12/art/runtime/arch/
H A Dinstruction_set_features.cc190 std::vector<std::string> features; in AddFeaturesFromString() local
191 Split(feature_list, ',', &features); in AddFeaturesFromString()
192 std::transform(std::begin(features), std::end(features), std::begin(features), in AddFeaturesFromString()
194 auto empty_strings_begin = std::copy_if(std::begin(features), std::end(features), in AddFeaturesFromString()
197 features.erase(empty_strings_begin, std::end(features)); in AddFeaturesFromString()
198 if (features.empty()) { in AddFeaturesFromString()
205 for (const std::string& feature : features) { in AddFeaturesFromString()
207 if (features.size() > 1) { in AddFeaturesFromString()
212 features.pop_back(); in AddFeaturesFromString()
215 if (features.size() > 1) { in AddFeaturesFromString()
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/aosp12/system/bt/stack/acl/
H A Dpeer_packet_types.h32 PeerPacketTypes(const BD_FEATURES& features) { in PeerPacketTypes() argument
34 if (HCI_3_SLOT_PACKETS_SUPPORTED(features)) in PeerPacketTypes()
37 if (HCI_5_SLOT_PACKETS_SUPPORTED(features)) in PeerPacketTypes()
41 if (!HCI_EDR_ACL_2MPS_SUPPORTED(features)) in PeerPacketTypes()
47 if (!HCI_EDR_ACL_3MPS_SUPPORTED(features)) in PeerPacketTypes()
54 if (HCI_EDR_ACL_2MPS_SUPPORTED(features) || in PeerPacketTypes()
55 HCI_EDR_ACL_3MPS_SUPPORTED(features)) { in PeerPacketTypes()
56 if (!HCI_3_SLOT_EDR_ACL_SUPPORTED(features)) in PeerPacketTypes()
63 if (!HCI_5_SLOT_EDR_ACL_SUPPORTED(features)) in PeerPacketTypes()
/aosp12/frameworks/base/telephony/java/android/telephony/ims/compat/
H A DImsService.java191 if (features == null) { in addImsFeature()
193 features = new SparseArray<>(); in addImsFeature()
194 mFeaturesBySlot.put(slotId, features); in addImsFeature()
196 features.put(featureType, f); in addImsFeature()
205 if (features == null) { in addImsFeatureStatusCallback()
210 ImsFeature f = features.get(featureType); in addImsFeatureStatusCallback()
222 if (features == null) { in removeImsFeatureStatusCallback()
227 ImsFeature f = features.get(featureType); in removeImsFeatureStatusCallback()
238 if (features == null) { in removeImsFeature()
243 ImsFeature f = features.get(featureType); in removeImsFeature()
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/aosp12/frameworks/compile/libbcc/lib/
H A DCompilerConfig.cpp38 llvm::StringMap<bool> features; in AddX86NativeCPUFeatures() local
39 if (llvm::sys::getHostCPUFeatures(features)) { in AddX86NativeCPUFeatures()
40 for (const auto& f : features) in AddX86NativeCPUFeatures()
109 llvm::StringMap<bool> features; in initializeArch() local
110 llvm::sys::getHostCPUFeatures(features); in initializeArch()
132 if (features.count("hwdiv-arm") && features["hwdiv-arm"]) in initializeArch()
135 if (features.count("hwdiv") && features["hwdiv"]) in initializeArch()
142 if (features.count("fp16") && features["fp16"]) in initializeArch()
150 if (features.count("neon") && features["neon"]) in initializeArch()
/aosp12/frameworks/opt/telephony/tests/telephonytests/src/com/android/internal/telephony/ims/
H A DImsResolverTest.java426 verify(controller).bind(features); in testCarrierPackageBind()
561 verify(controller).bind(features); in testCarrierPackageBindWithEmergencyCalling()
590 verify(controller).bind(features); in testCarrierPackageBindWithEmergencyButNotMmtel()
614 verify(controller).bind(features); in testCarrierPackageChangeEmergencyCalling()
663 Set<String> features = new HashSet<>(); in testDevicePackageBind() local
1063 convertToHashSet(features, 0); in testAddDeviceFeatureNoCarrier()
1145 convertToHashSet(features, 0); in testAddDeviceFeatureNoCarrierRcsNotSupported()
2136 return features.stream() in convertToHashSet()
2145 int slotId, String... features) { in convertToFeatureSlotPairs() argument
2166 for (String f : features) { in isImsServiceInfoEqual()
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/aosp12/packages/apps/DocumentsUI/tests/unit/com/android/documentsui/files/
H A DQuickViewIntentBuilderTest.java66 assertEquals(0, features.length); in testSetsNoFeatures_InArchiveDocument()
76 Set<String> features = new HashSet<>( in testSetsFullFeatures_RegularDocument() local
79 assertEquals("Unexpected features set: " + features, 6, features.size()); in testSetsFullFeatures_RegularDocument()
80 assertTrue(features.contains(QuickViewConstants.FEATURE_VIEW)); in testSetsFullFeatures_RegularDocument()
81 assertTrue(features.contains(QuickViewConstants.FEATURE_EDIT)); in testSetsFullFeatures_RegularDocument()
82 assertTrue(features.contains(QuickViewConstants.FEATURE_DELETE)); in testSetsFullFeatures_RegularDocument()
83 assertTrue(features.contains(QuickViewConstants.FEATURE_SEND)); in testSetsFullFeatures_RegularDocument()
85 assertTrue(features.contains(QuickViewConstants.FEATURE_PRINT)); in testSetsFullFeatures_RegularDocument()
96 Set<String> features = new HashSet<>( in testPickerFeatures_RegularDocument() local
99 assertEquals("Unexpected features set: " + features, 1, features.size()); in testPickerFeatures_RegularDocument()
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/aosp12/packages/modules/NeuralNetworks/runtime/test/specs/V1_0/
H A Dsvdf.mod.py18 features = 4 variable
20 units = int(features / rank)
27 weights_feature = Input("weights_feature", "TENSOR_FLOAT32", "{%d, %d}" % (features, input_size))
28 weights_time = Input("weights_time", "TENSOR_FLOAT32", "{%d, %d}" % (features, memory_size))
30 state_in = Input("state_in", "TENSOR_FLOAT32", "{%d, %d}" % (batches, memory_size*features))
33 …te_out = IgnoredOutput("state_out", "TENSOR_FLOAT32", "{%d, %d}" % (batches, memory_size*features))
60 state_in: [0 for _ in range(batches * memory_size * features)],
127 output0 = {state_out: [0 for _ in range(batches * memory_size * features)],
H A Dsvdf2.mod.py18 features = 8 variable
20 units = int(features / rank)
27 weights_feature = Input("weights_feature", "TENSOR_FLOAT32", "{%d, %d}" % (features, input_size))
28 weights_time = Input("weights_time", "TENSOR_FLOAT32", "{%d, %d}" % (features, memory_size))
30 state_in = Input("state_in", "TENSOR_FLOAT32", "{%d, %d}" % (batches, memory_size*features))
33 …te_out = IgnoredOutput("state_out", "TENSOR_FLOAT32", "{%d, %d}" % (batches, memory_size*features))
75 state_in: [0 for _ in range(batches * memory_size * features)],
142 output0 = {state_out: [0 for _ in range(batches * memory_size * features)],
H A Dsvdf_bias_present.mod.py18 features = 4 variable
20 units = int(features / rank)
27 weights_feature = Input("weights_feature", "TENSOR_FLOAT32", "{%d, %d}" % (features, input_size))
28 weights_time = Input("weights_time", "TENSOR_FLOAT32", "{%d, %d}" % (features, memory_size))
30 state_in = Input("state_in", "TENSOR_FLOAT32", "{%d, %d}" % (batches, memory_size*features))
33 …te_out = IgnoredOutput("state_out", "TENSOR_FLOAT32", "{%d, %d}" % (batches, memory_size*features))
60 state_in: [0 for _ in range(batches * memory_size * features)],
127 output0 = {state_out: [0 for _ in range(batches * memory_size * features)],
H A Dembedding_lookup.mod.py20 features = 4 variable
22 actual_values = [x for x in range(rows * columns * features)]
25 for k in range(features):
26 actual_values[(i * columns + j) * features + k] = i + j / 10. + k / 100.
30 value = Input("value", "TENSOR_FLOAT32", "{%d, %d, %d}" % (rows, columns, features))
31 output = Output("output", "TENSOR_FLOAT32", "{%d, %d, %d}" % (lookups, columns, features))
H A Dhashtable_lookup_float.mod.py20 features = 2 variable
22 table = [x for x in range(rows * features)]
24 for j in range(features):
25 table[i * features + j] = i + j / 10.
31 value = Input("value", "TENSOR_FLOAT32", "{%d, %d}" % (rows, features))
32 output = Output("output", "TENSOR_FLOAT32", "{%d, %d}" % (lookups, features))
H A Dhashtable_lookup_quant8.mod.py20 features = 2 variable
22 table = [x for x in range(rows * features)]
24 for j in range(features):
25 table[i * features + j] = i * 10 + j
31 value = Input("value", "TENSOR_QUANT8_ASYMM", "{%d, %d}, 0.5f, 0" % (rows, features))
32 output = Output("output", "TENSOR_QUANT8_ASYMM", "{%d, %d}, 0.5f, 0" % (lookups, features))
/aosp12/packages/modules/NeuralNetworks/runtime/test/specs/V1_2/
H A Dsvdf_bias_present_float16.mod.py18 features = 4 variable
20 units = int(features / rank)
27 weights_feature = Input("weights_feature", "TENSOR_FLOAT16", "{%d, %d}" % (features, input_size))
28 weights_time = Input("weights_time", "TENSOR_FLOAT16", "{%d, %d}" % (features, memory_size))
30 state_in = Input("state_in", "TENSOR_FLOAT16", "{%d, %d}" % (batches, memory_size*features))
33 …te_out = IgnoredOutput("state_out", "TENSOR_FLOAT16", "{%d, %d}" % (batches, memory_size*features))
60 state_in: [0 for _ in range(batches * memory_size * features)],
127 output0 = {state_out: [0 for _ in range(batches * memory_size * features)],
H A Dsvdf_float16.mod.py18 features = 4 variable
20 units = int(features / rank)
27 weights_feature = Input("weights_feature", "TENSOR_FLOAT16", "{%d, %d}" % (features, input_size))
28 weights_time = Input("weights_time", "TENSOR_FLOAT16", "{%d, %d}" % (features, memory_size))
30 state_in = Input("state_in", "TENSOR_FLOAT16", "{%d, %d}" % (batches, memory_size*features))
33 …te_out = IgnoredOutput("state_out", "TENSOR_FLOAT16", "{%d, %d}" % (batches, memory_size*features))
60 state_in: [0 for _ in range(batches * memory_size * features)],
127 output0 = {state_out: [0 for _ in range(batches * memory_size * features)],
H A Dembedding_lookup_v1_2.mod.py20 features = 4 variable
22 actual_values = [x for x in range(rows * columns * features)]
25 for k in range(features):
26 actual_values[(i * columns + j) * features + k] = i + j / 10. + k / 100.
31 "{%d, %d, %d}" % (rows, columns, features))
33 "{%d, %d, %d}" % (lookups, columns, features))
/aosp12/packages/apps/DocumentsUI/tests/common/com/android/documentsui/testing/
H A DTestEnv.java81 public final Features features; field in TestEnv
88 private TestEnv(Context context, Features features, String authority) { in TestEnv() argument
89 this.features = features; in TestEnv()
94 model = new TestModel(userId, authority, features); in TestEnv()
100 features, in TestEnv()
128 public static TestEnv create(Features features) { in create() argument
129 return create(features, TestProvidersAccess.HOME.authority); in create()
136 public static TestEnv create(Features features, String authority) { in create() argument
138 return create(context, features, authority); in create()
144 return create(context, features, authority); in create()
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/aosp12/packages/modules/NeuralNetworks/runtime/test/specs/V1_1/
H A Dsvdf2_relaxed.mod.py18 features = 8 variable
20 units = int(features / rank)
27 weights_feature = Input("weights_feature", "TENSOR_FLOAT32", "{%d, %d}" % (features, input_size))
28 weights_time = Input("weights_time", "TENSOR_FLOAT32", "{%d, %d}" % (features, memory_size))
30 state_in = Input("state_in", "TENSOR_FLOAT32", "{%d, %d}" % (batches, memory_size*features))
33 …te_out = IgnoredOutput("state_out", "TENSOR_FLOAT32", "{%d, %d}" % (batches, memory_size*features))
76 state_in: [0 for _ in range(batches * memory_size * features)],
143 output0 = {state_out: [0 for _ in range(batches * memory_size * features)],
H A Dsvdf_bias_present_relaxed.mod.py18 features = 4 variable
20 units = int(features / rank)
27 weights_feature = Input("weights_feature", "TENSOR_FLOAT32", "{%d, %d}" % (features, input_size))
28 weights_time = Input("weights_time", "TENSOR_FLOAT32", "{%d, %d}" % (features, memory_size))
30 state_in = Input("state_in", "TENSOR_FLOAT32", "{%d, %d}" % (batches, memory_size*features))
33 …te_out = IgnoredOutput("state_out", "TENSOR_FLOAT32", "{%d, %d}" % (batches, memory_size*features))
61 state_in: [0 for _ in range(batches * memory_size * features)],
128 output0 = {state_out: [0 for _ in range(batches * memory_size * features)],
H A Dsvdf_relaxed.mod.py18 features = 4 variable
20 units = int(features / rank)
27 weights_feature = Input("weights_feature", "TENSOR_FLOAT32", "{%d, %d}" % (features, input_size))
28 weights_time = Input("weights_time", "TENSOR_FLOAT32", "{%d, %d}" % (features, memory_size))
30 state_in = Input("state_in", "TENSOR_FLOAT32", "{%d, %d}" % (batches, memory_size*features))
33 …te_out = IgnoredOutput("state_out", "TENSOR_FLOAT32", "{%d, %d}" % (batches, memory_size*features))
61 state_in: [0 for _ in range(batches * memory_size * features)],
128 output0 = {state_out: [0 for _ in range(batches * memory_size * features)],
H A Dembedding_lookup_relaxed.mod.py20 features = 4 variable
22 actual_values = [x for x in range(rows * columns * features)]
25 for k in range(features):
26 actual_values[(i * columns + j) * features + k] = i + j / 10. + k / 100.
30 value = Input("value", "TENSOR_FLOAT32", "{%d, %d, %d}" % (rows, columns, features))
31 output = Output("output", "TENSOR_FLOAT32", "{%d, %d, %d}" % (lookups, columns, features))
H A Dhashtable_lookup_float_relaxed.mod.py20 features = 2 variable
22 table = [x for x in range(rows * features)]
24 for j in range(features):
25 table[i * features + j] = i + j / 10.
31 value = Input("value", "TENSOR_FLOAT32", "{%d, %d}" % (rows, features))
32 output = Output("output", "TENSOR_FLOAT32", "{%d, %d}" % (lookups, features))
/aosp12/frameworks/base/telephony/java/android/telephony/ims/
H A DImsService.java331 if (features == null) { in addImsFeatureStatusCallback()
336 ImsFeature f = features.get(featureType); in addImsFeatureStatusCallback()
348 if (features == null) { in removeImsFeatureStatusCallback()
353 ImsFeature f = features.get(featureType); in removeImsFeatureStatusCallback()
364 if (features == null) { in addImsFeature()
366 features = new SparseArray<>(); in addImsFeature()
367 mFeaturesBySlot.put(slotId, features); in addImsFeature()
369 features.put(featureType, f); in addImsFeature()
377 if (features == null) { in removeImsFeature()
382 ImsFeature f = features.get(featureType); in removeImsFeature()
[all …]
/aosp12/packages/modules/NeuralNetworks/runtime/test/specs/V1_3/
H A Dembedding_lookup_v1_3.mod.py20 features = 4 variable
22 actual_values = [x for x in range(rows * columns * features)]
25 for k in range(features):
26 actual_values[(i * columns + j) * features + k] = i + j / 10. + k / 100.
31 "{%d, %d, %d}" % (rows, columns, features))
33 "{%d, %d, %d}" % (lookups, columns, features))
H A Dembedding_lookup_quant8_signed.mod.py20 features = 4 variable
22 actual_values = [x for x in range(rows * columns * features)]
25 for k in range(features):
26 actual_values[(i * columns + j) * features + k] = i + j / 10. + k / 100.
31 "{%d, %d, %d}" % (rows, columns, features))
33 "{%d, %d, %d}" % (lookups, columns, features))

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