| /frameworks/ml/nn/runtime/test/android_fuzzing/corpus/ |
| D | seed263 | 691 operation {
706 operation {
717 operation {
732 operation {
741 operation {
759 operation {
769 operation {
779 operation {
790 operation {
800 operation {
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| D | seed251 | 1378 operation {
1389 operation {
1403 operation {
1418 operation {
1429 operation {
1439 operation {
1453 operation {
1464 operation {
1475 operation {
1485 operation {
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| D | seed339 | 404 operation {
419 operation {
439 operation {
454 operation {
473 operation {
486 operation {
501 operation {
520 operation {
536 operation {
553 operation {
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| D | seed078 | 931 operation {
942 operation {
954 operation {
983 operation {
992 operation {
1003 operation {
1032 operation {
1042 operation {
1053 operation {
1065 operation {
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| D | seed120 | 1709 operation {
1720 operation {
1731 operation {
1742 operation {
1753 operation {
1764 operation {
1778 operation {
1789 operation {
1801 operation {
1811 operation {
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| D | seed065 | 2384 operation {
2406 operation {
2422 operation {
2432 operation {
2447 operation {
2462 operation {
2477 operation {
2499 operation {
2513 operation {
2528 operation {
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| /frameworks/ml/nn/common/operations/ |
| D | BidirectionalSequenceLSTM.cpp | 81 BidirectionalSequenceLSTM::BidirectionalSequenceLSTM(const Operation& operation, in BidirectionalSequenceLSTM() argument
83 input_ = GetInput(operation, operands, kInputTensor); in BidirectionalSequenceLSTM()
86 GetInput(operation, operands, kFwInputToInputWeightsTensor); // optional in BidirectionalSequenceLSTM()
87 fw_input_to_forget_weights_ = GetInput(operation, operands, kFwInputToForgetWeightsTensor); in BidirectionalSequenceLSTM()
88 fw_input_to_cell_weights_ = GetInput(operation, operands, kFwInputToCellWeightsTensor); in BidirectionalSequenceLSTM()
89 fw_input_to_output_weights_ = GetInput(operation, operands, kFwInputToOutputWeightsTensor); in BidirectionalSequenceLSTM()
92 GetInput(operation, operands, kFwRecurrentToInputWeightsTensor); // optional in BidirectionalSequenceLSTM()
94 GetInput(operation, operands, kFwRecurrentToForgetWeightsTensor); in BidirectionalSequenceLSTM()
95 fw_recurrent_to_cell_weights_ = GetInput(operation, operands, kFwRecurrentToCellWeightsTensor); in BidirectionalSequenceLSTM()
97 GetInput(operation, operands, kFwRecurrentToOutputWeightsTensor); in BidirectionalSequenceLSTM()
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| D | QuantizedLSTM.cpp | 223 QuantizedLSTMCell::QuantizedLSTMCell(const Operation& operation, RunTimeOperandInfo* operands) { in QuantizedLSTMCell() argument
224 input_ = GetInput(operation, operands, kInputTensor); in QuantizedLSTMCell()
226 inputToInputWeights_ = GetInput(operation, operands, kInputToInputWeightsTensor); in QuantizedLSTMCell()
227 inputToForgetWeights_ = GetInput(operation, operands, kInputToForgetWeightsTensor); in QuantizedLSTMCell()
228 inputToCellWeights_ = GetInput(operation, operands, kInputToCellWeightsTensor); in QuantizedLSTMCell()
229 inputToOutputWeights_ = GetInput(operation, operands, kInputToOutputWeightsTensor); in QuantizedLSTMCell()
231 recurrentToInputWeights_ = GetInput(operation, operands, kRecurrentToInputWeightsTensor); in QuantizedLSTMCell()
232 recurrentToForgetWeights_ = GetInput(operation, operands, kRecurrentToForgetWeightsTensor); in QuantizedLSTMCell()
233 recurrentToCellWeights_ = GetInput(operation, operands, kRecurrentToCellWeightsTensor); in QuantizedLSTMCell()
234 recurrentToOutputWeights_ = GetInput(operation, operands, kRecurrentToOutputWeightsTensor); in QuantizedLSTMCell()
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| D | SVDF.cpp | 33 SVDF::SVDF(const Operation& operation, RunTimeOperandInfo* operands) { in SVDF() argument
35 input_ = GetInput(operation, operands, kInputTensor); in SVDF()
36 weights_feature_ = GetInput(operation, operands, kWeightsFeatureTensor); in SVDF()
37 weights_time_ = GetInput(operation, operands, kWeightsTimeTensor); in SVDF()
38 bias_ = GetInput(operation, operands, kBiasTensor); in SVDF()
39 state_in_ = GetInput(operation, operands, kStateInTensor); in SVDF()
41 const auto& rankOperand = *GetInput(operation, operands, kRankParam); in SVDF()
43 const auto& activationOperand = *GetInput(operation, operands, kActivationParam); in SVDF()
47 state_out_ = GetOutput(operation, operands, kStateOutTensor); in SVDF()
48 output_ = GetOutput(operation, operands, kOutputTensor); in SVDF()
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| D | LSHProjection.cpp | 34 LSHProjection::LSHProjection(const Operation& operation, RunTimeOperandInfo* operands) { in LSHProjection() argument
35 input_ = GetInput(operation, operands, kInputTensor); in LSHProjection()
36 weight_ = GetInput(operation, operands, kWeightTensor); in LSHProjection()
37 hash_ = GetInput(operation, operands, kHashTensor); in LSHProjection()
40 getScalarData<int32_t>(*GetInput(operation, operands, kTypeParam))); in LSHProjection()
42 output_ = GetOutput(operation, operands, kOutputTensor); in LSHProjection()
45 bool LSHProjection::Prepare(const Operation& operation, RunTimeOperandInfo* operands, in Prepare() argument
50 NN_RET_CHECK(!IsNullInput(GetInput(operation, operands, requiredInput))) in Prepare()
53 NN_CHECK_EQ(NumOutputs(operation), 1); in Prepare()
55 const RunTimeOperandInfo* hash = GetInput(operation, operands, kHashTensor); in Prepare()
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| D | Multinomial.cpp | 54 Multinomial::Multinomial(const Operation& operation, RunTimeOperandInfo* operands) { in Multinomial() argument
56 input_ = GetInput(operation, operands, kInputTensor); in Multinomial()
57 sample_count_ = getScalarData<int>(*GetInput(operation, operands, kSampleCountParam)); in Multinomial()
58 random_seeds_ = GetInput(operation, operands, kRandomSeedsTensor); in Multinomial()
60 output_ = GetOutput(operation, operands, kOutputTensor); in Multinomial()
63 bool Multinomial::Prepare(const Operation& operation, RunTimeOperandInfo* operands, in Prepare() argument
66 NN_CHECK_EQ(NumInputsWithValues(operation, operands), 3); in Prepare()
67 NN_CHECK_EQ(NumOutputs(operation), 1); in Prepare()
69 const RunTimeOperandInfo* input = GetInput(operation, operands, Multinomial::kInputTensor); in Prepare()
74 getScalarData<int>(*GetInput(operation, operands, kSampleCountParam)); in Prepare()
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| D | RNN.cpp | 34 RNN::RNN(const Operation& operation, RunTimeOperandInfo* operands) { in RNN() argument
36 input_ = GetInput(operation, operands, kInputTensor); in RNN()
37 weights_ = GetInput(operation, operands, kWeightsTensor); in RNN()
38 recurrent_weights_ = GetInput(operation, operands, kRecurrentWeightsTensor); in RNN()
39 hidden_state_in_ = GetInput(operation, operands, kHiddenStateInTensor); in RNN()
40 bias_ = GetInput(operation, operands, kBiasTensor); in RNN()
43 getScalarData<int32_t>(operands[operation.inputs[kActivationParam]])); in RNN()
45 hidden_state_out_ = GetOutput(operation, operands, kHiddenStateOutTensor); in RNN()
46 output_ = GetOutput(operation, operands, kOutputTensor); in RNN()
49 bool RNN::Prepare(const Operation& operation, RunTimeOperandInfo* operands, Shape* hiddenStateShape, in Prepare() argument
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| D | HashtableLookup.cpp | 40 HashtableLookup::HashtableLookup(const Operation& operation, RunTimeOperandInfo* operands) { in HashtableLookup() argument
41 lookup_ = GetInput(operation, operands, kLookupTensor); in HashtableLookup()
42 key_ = GetInput(operation, operands, kKeyTensor); in HashtableLookup()
43 value_ = GetInput(operation, operands, kValueTensor); in HashtableLookup()
45 output_ = GetOutput(operation, operands, kOutputTensor); in HashtableLookup()
46 hits_ = GetOutput(operation, operands, kHitsTensor); in HashtableLookup()
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| /frameworks/base/cmds/statsd/tests/condition/ |
| D | CombinationConditionTracker_test.cpp | 28 LogicalOperation operation = LogicalOperation::AND; in TEST() local
40 EXPECT_EQ(evaluateCombinationCondition(children, operation, conditionResults), in TEST()
46 LogicalOperation operation = LogicalOperation::AND; in TEST() local
58 EXPECT_FALSE(evaluateCombinationCondition(children, operation, conditionResults)); in TEST()
65 EXPECT_TRUE(evaluateCombinationCondition(children, operation, conditionResults)); in TEST()
70 LogicalOperation operation = LogicalOperation::OR; in TEST() local
82 EXPECT_TRUE(evaluateCombinationCondition(children, operation, conditionResults)); in TEST()
89 EXPECT_FALSE(evaluateCombinationCondition(children, operation, conditionResults)); in TEST()
94 LogicalOperation operation = LogicalOperation::NOT; in TEST() local
102 EXPECT_FALSE(evaluateCombinationCondition(children, operation, conditionResults)); in TEST()
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| /frameworks/ml/nn/runtime/test/fuzzing/ |
| D | RandomGraphGenerator.cpp | 82 RandomOperation::RandomOperation(const OperationSignature& operation) in RandomOperation() argument
83 : opType(operation.opType), finalizer(operation.finalizer) { in RandomOperation()
87 TestOperandType dataType = getRandomChoice(operation.supportedDataTypes); in RandomOperation()
88 uint32_t rank = getRandomChoice(operation.supportedRanks); in RandomOperation()
91 for (const auto& op : operation.inputs) { in RandomOperation()
94 for (const auto& op : operation.outputs) { in RandomOperation()
97 if (operation.constructor) operation.constructor(dataType, rank, this); in RandomOperation()
179 for (const auto& operation : mOperations) { in generateValue() local
180 fillOperands(operation.inputs); in generateValue()
181 fillOperands(operation.outputs); in generateValue()
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| /frameworks/base/core/java/android/app/ |
| D | AlarmManager.java | 355 public void set(@AlarmType int type, long triggerAtMillis, PendingIntent operation) { in set() argument
356 setImpl(type, triggerAtMillis, legacyExactLength(), 0, 0, operation, null, null, in set()
444 long intervalMillis, PendingIntent operation) { in setRepeating() argument
445 setImpl(type, triggerAtMillis, legacyExactLength(), intervalMillis, 0, operation, in setRepeating()
494 PendingIntent operation) { in setWindow() argument
495 setImpl(type, windowStartMillis, windowLengthMillis, 0, 0, operation, in setWindow()
547 public void setExact(@AlarmType int type, long triggerAtMillis, PendingIntent operation) { in setExact() argument
548 setImpl(type, triggerAtMillis, WINDOW_EXACT, 0, 0, operation, null, null, null, in setExact()
614 public void setAlarmClock(AlarmClockInfo info, PendingIntent operation) { in setAlarmClock() argument
615 setImpl(RTC_WAKEUP, info.getTriggerTime(), WINDOW_EXACT, 0, 0, operation, in setAlarmClock()
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| /frameworks/base/core/java/android/database/sqlite/ |
| D | SQLiteConnection.java | 1411 Operation operation = mOperations[index]; in beginOperation() local
1412 if (operation == null) { in beginOperation()
1413 operation = new Operation(); in beginOperation()
1414 mOperations[index] = operation; in beginOperation()
1416 operation.mFinished = false; in beginOperation()
1417 operation.mException = null; in beginOperation()
1418 if (operation.mBindArgs != null) { in beginOperation()
1419 operation.mBindArgs.clear(); in beginOperation()
1422 operation.mStartWallTime = System.currentTimeMillis(); in beginOperation()
1423 operation.mStartTime = SystemClock.uptimeMillis(); in beginOperation()
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| /frameworks/ml/nn/common/include/ |
| D | CpuExecutor.h | 173 int executeOperation(const hal::Operation& operation, RunTimeOperandInfo* operands);
174 int executeIfOperation(const hal::Operation& operation, RunTimeOperandInfo* operands);
175 int executeWhileOperation(const hal::Operation& operation, RunTimeOperandInfo* operands);
265 inline int NumInputsWithValues(const hal::Operation& operation, in NumInputsWithValues() argument
267 const std::vector<uint32_t>& inputs = operation.inputs; in NumInputsWithValues()
272 inline int NumOutputs(const hal::Operation& operation) { in NumOutputs() argument
273 return operation.outputs.size(); in NumOutputs()
284 inline RunTimeOperandInfo* GetInput(const hal::Operation& operation, RunTimeOperandInfo* operands, in GetInput() argument
286 return &operands[operation.inputs[index]]; in GetInput()
289 inline RunTimeOperandInfo* GetOutput(const hal::Operation& operation, RunTimeOperandInfo* operands, in GetOutput() argument
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| /frameworks/ml/nn/runtime/test/fibonacci_extension/ |
| D | FibonacciDriver.cpp | 58 bool isFibonacciOperation(const Operation& operation, const Model& model) { in isFibonacciOperation() argument
59 int32_t operationType = static_cast<int32_t>(operation.type); in isFibonacciOperation()
66 bool validate(const Operation& operation, const Model& model) { in validate() argument
67 NN_RET_CHECK(isFibonacciOperation(operation, model)); in validate()
68 NN_RET_CHECK_EQ(operation.inputs.size(), kNumInputs); in validate()
69 NN_RET_CHECK_EQ(operation.outputs.size(), kNumOutputs); in validate()
70 int32_t inputType = static_cast<int32_t>(model.main.operands[operation.inputs[0]].type); in validate()
71 int32_t outputType = static_cast<int32_t>(model.main.operands[operation.outputs[0]].type); in validate()
199 const Operation& operation = model.main.operations[i]; in getSupportedOperations_1_3() local
200 if (fibonacci_op::isFibonacciOperation(operation, model)) { in getSupportedOperations_1_3()
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| /frameworks/ml/nn/driver/sample/ |
| D | SampleDriverQuant.cpp | 69 const Operation& operation = model.main.operations[i]; in getSupportedOperationsImpl() local
70 if (!isExtensionOperationType(operation.type) && operation.inputs.size() > 0) { in getSupportedOperationsImpl()
71 const Operand& firstOperand = model.main.operands[operation.inputs[0]]; in getSupportedOperationsImpl()
73 if (operation.type == OperationType::SELECT) { in getSupportedOperationsImpl()
74 const Operand& secondOperand = model.main.operands[operation.inputs[1]]; in getSupportedOperationsImpl()
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| /frameworks/ml/nn/runtime/ |
| D | ModelBuilder.cpp | 542 static void logRemoval(const Operation& operation, uint32_t count, in logRemoval() argument
545 message << "Operation " << toString(operation.type) << " with inputs {"; in logRemoval()
546 for (uint32_t i = 0; i < operation.inputs.size(); ++i) { in logRemoval()
550 message << toString(operands[operation.inputs[i]].type); in logRemoval()
558 for (Operation& operation : mOperations) { in removeTrailingArgumentsWithDefaultValues()
559 const uint32_t count = getNumTrailingArgumentsToRemove(operation); in removeTrailingArgumentsWithDefaultValues()
564 logRemoval(operation, count, mOperands); in removeTrailingArgumentsWithDefaultValues()
566 const uint32_t inputCount = operation.inputs.size(); in removeTrailingArgumentsWithDefaultValues()
570 --mOperands[operation.inputs[i]].numberOfConsumers; in removeTrailingArgumentsWithDefaultValues()
572 operation.inputs.resize(newInputCount); in removeTrailingArgumentsWithDefaultValues()
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| /frameworks/ml/nn/runtime/test/android_fuzzing/ |
| D | Converter.cpp | 114 TestOperation convert(const Operation& operation) { in convert() argument
115 const TestOperationType type = convert(operation.type()); in convert()
116 std::vector<uint32_t> inputs = convert(operation.inputs()); in convert()
117 std::vector<uint32_t> outputs = convert(operation.outputs()); in convert()
124 const auto& repeatedOperation = operations.operation(); in convert()
127 [](const auto& operation) { return convert(operation); }); in convert() argument
139 const auto addAllConsumers = [&addConsumer](const TestOperation& operation) { in calculateNumberOfConsumers() argument
140 std::for_each(operation.inputs.begin(), operation.inputs.end(), addConsumer); in calculateNumberOfConsumers()
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| /frameworks/ml/nn/common/ |
| D | CpuExecutor.cpp | 55 OperationExecutionContext(const Operation* operation, RunTimeOperandInfo* operands) in OperationExecutionContext() argument
56 : operation(operation), operands(operands) {} in OperationExecutionContext()
87 const Operation* operation; member in android::nn::__anonec8350e20111::OperationExecutionContext
94 CHECK(index < operation->inputs.size()); in getInputInfo()
95 return &operands[operation->inputs[index]]; in getInputInfo()
99 CHECK(index < operation->outputs.size()); in getOutputInfo()
100 return &operands[operation->outputs[index]]; in getOutputInfo()
104 CHECK(index < operation->outputs.size()); in getOutputInfo()
105 return &operands[operation->outputs[index]]; in getOutputInfo()
137 return operation->inputs.size(); in getNumInputs()
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| D | GraphDump.cpp | 223 const Operation& operation = model.main.operations[i]; in graphDump() local
225 const uint32_t maxArity = std::max(operation.inputs.size(), operation.outputs.size()); in graphDump()
227 if (maxArity == operation.inputs.size()) { in graphDump()
233 dump << " label=\"" << i << ": " << toString(operation.type) << "\"]" << Dumper::endl; in graphDump()
236 for (unsigned in = 0, inE = operation.inputs.size(); in < inE; in++) { in graphDump()
237 dump << " d" << operation.inputs[in] << " -> n" << i; in graphDump()
247 for (unsigned out = 0, outE = operation.outputs.size(); out < outE; out++) { in graphDump()
248 dump << " n" << i << " -> d" << operation.outputs[out]; in graphDump()
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| /frameworks/base/services/core/java/com/android/server/location/ |
| D | RemoteListenerHelper.java | 139 protected void foreach(ListenerOperation<TListener> operation) { in foreach() argument
141 foreachUnsafe(operation); in foreach()
196 private void foreachUnsafe(ListenerOperation<TListener> operation) { in foreachUnsafe() argument
198 post(identifiedListener, operation); in foreachUnsafe()
203 ListenerOperation<TListener> operation) { in post() argument
204 if (operation != null) { in post()
205 mHandler.post(new HandlerRunnable(identifiedListener, operation)); in post()
274 ListenerOperation<TListener> operation) { in HandlerRunnable() argument
276 mOperation = operation; in HandlerRunnable()
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