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/hardware/interfaces/neuralnetworks/1.3/vts/functional/
DCallbacks.cpp92 const hidl_vec<OutputShape>& outputShapes, in notify_1_2() argument
94 return notifyInternal(static_cast<ErrorStatus>(errorStatus), outputShapes, timing); in notify_1_2()
98 const hidl_vec<OutputShape>& outputShapes, in notify_1_3() argument
100 return notifyInternal(errorStatus, outputShapes, timing); in notify_1_3()
124 hidl_vec<OutputShape> outputShapes, Timing timing) { in notifyInternal() argument
128 if (outputShapes.size() == 0) { in notifyInternal()
131 outputShapes = {}; in notifyInternal()
136 if (outputShapes.size() != 0) { in notifyInternal()
140 outputShapes = {}; in notifyInternal()
155 mOutputShapes = std::move(outputShapes); in notifyInternal()
DValidateRequest.cpp75 const auto& outputShapes = executionCallback->getOutputShapes(); in validate() local
78 ASSERT_EQ(outputShapes.size(), 0); in validate()
88 [](ErrorStatus error, const hidl_vec<OutputShape>& outputShapes, in validate()
91 EXPECT_EQ(outputShapes.size(), 0); in validate()
118 const auto [n, outputShapes, timing, fallback] = burst->compute(request10, measure, keys); in validate()
121 EXPECT_EQ(outputShapes.size(), 0); in validate()
184 [](ErrorStatus error, const hidl_vec<OutputShape>& outputShapes, const Timing& timing) { in validateRequestFailure() argument
186 EXPECT_EQ(outputShapes.size(), 0); in validateRequestFailure()
DQualityOfServiceTests.cpp186 hidl_vec<OutputShape> outputShapes = callback->getOutputShapes(); in executeAsynchronously() local
190 return Results{status, std::move(outputShapes), timing}; in executeAsynchronously()
201 const auto cb = [&results](ErrorStatus status, const hidl_vec<OutputShape>& outputShapes, in executeSynchronously()
203 results.emplace(status, outputShapes, timing); in executeSynchronously()
225 const auto& [status, outputShapes, timing] = results.value(); in runExecutionTest()
251 ASSERT_TRUE(outputShapes.size() == 0 || in runExecutionTest()
252 outputShapes.size() == testModel.main.outputIndexes.size()); in runExecutionTest()
255 for (uint32_t i = 0; i < outputShapes.size(); i++) { in runExecutionTest()
256 EXPECT_TRUE(outputShapes[i].isSufficient); in runExecutionTest()
258 const std::vector<uint32_t> actual = outputShapes[i].dimensions; in runExecutionTest()
/hardware/interfaces/neuralnetworks/1.3/utils/src/
DCallbacks.cpp65 convertExecutionGeneralResultsHelper(const hidl_vec<V1_2::OutputShape>& outputShapes, in convertExecutionGeneralResultsHelper() argument
67 return std::make_pair(NN_TRY(nn::convert(outputShapes)), NN_TRY(nn::convert(timing))); in convertExecutionGeneralResultsHelper()
85 ErrorStatus status, const hidl_vec<V1_2::OutputShape>& outputShapes, in executionCallback() argument
89 nn::convert(outputShapes).value_or(std::vector<nn::OutputShape>{}); in executionCallback()
94 return convertExecutionGeneralResultsHelper(outputShapes, timing); in executionCallback()
131 const hidl_vec<V1_2::OutputShape>& outputShapes, in notify_1_2() argument
133 mData.put(V1_2::utils::executionCallback(status, outputShapes, timing)); in notify_1_2()
138 const hidl_vec<V1_2::OutputShape>& outputShapes, in notify_1_3() argument
140 mData.put(executionCallback(status, outputShapes, timing)); in notify_1_3()
/hardware/interfaces/neuralnetworks/1.2/utils/src/
DCallbacks.cpp56 convertExecutionGeneralResultsHelper(const hidl_vec<OutputShape>& outputShapes, in convertExecutionGeneralResultsHelper() argument
58 return std::make_pair(NN_TRY(nn::convert(outputShapes)), NN_TRY(nn::convert(timing))); in convertExecutionGeneralResultsHelper()
70 V1_0::ErrorStatus status, const hidl_vec<OutputShape>& outputShapes, const Timing& timing) { in executionCallback() argument
73 nn::convert(outputShapes).value_or(std::vector<nn::OutputShape>{}); in executionCallback()
78 return convertExecutionGeneralResultsHelper(outputShapes, timing); in executionCallback()
109 const hidl_vec<OutputShape>& outputShapes, in notify_1_2() argument
111 mData.put(executionCallback(status, outputShapes, timing)); in notify_1_2()
DBurstUtils.cpp142 const std::vector<V1_2::OutputShape>& outputShapes, in serialize() argument
145 size_t count = 2 + outputShapes.size(); in serialize()
146 for (const auto& outputShape : outputShapes) { in serialize()
158 .numberOfOperands = static_cast<uint32_t>(outputShapes.size())}); in serialize()
161 for (const auto& operand : outputShapes) { in serialize()
355 std::vector<V1_2::OutputShape> outputShapes; in deserialize() local
356 outputShapes.reserve(numberOfOperands); in deserialize()
389 outputShapes.push_back({.dimensions = dimensions, .isSufficient = isSufficient}); in deserialize()
408 return std::make_tuple(errorStatus, std::move(outputShapes), timing); in deserialize()
589 const std::vector<V1_2::OutputShape>& outputShapes, in send() argument
[all …]
/hardware/interfaces/neuralnetworks/1.2/vts/functional/
DCallbacks.cpp82 const hidl_vec<OutputShape>& outputShapes, in notify_1_2() argument
86 if (outputShapes.size() == 0) { in notify_1_2()
93 if (outputShapes.size() != 0) { in notify_1_2()
100 notifyInternal(errorStatus, outputShapes, timing); in notify_1_2()
125 const hidl_vec<OutputShape>& outputShapes, in notifyInternal() argument
136 mOutputShapes = outputShapes; in notifyInternal()
DValidateRequest.cpp71 const auto& outputShapes = executionCallback->getOutputShapes(); in validate() local
74 ASSERT_EQ(outputShapes.size(), 0); in validate()
84 [](ErrorStatus error, const hidl_vec<OutputShape>& outputShapes, in validate()
87 EXPECT_EQ(outputShapes.size(), 0); in validate()
110 const auto [n, outputShapes, timing, fallback] = burst->compute(request, measure, keys); in validate()
113 EXPECT_EQ(outputShapes.size(), 0); in validate()
162 [](ErrorStatus error, const hidl_vec<OutputShape>& outputShapes, const Timing& timing) { in validateRequestFailure() argument
164 EXPECT_EQ(outputShapes.size(), 0); in validateRequestFailure()
DGeneratedTestHarness.cpp190 hidl_vec<OutputShape>* outputShapes, in ExecutePreparedModel() argument
195 [&result, outputShapes, timing](ErrorStatus error, const hidl_vec<OutputShape>& shapes, in ExecutePreparedModel()
198 *outputShapes = shapes; in ExecutePreparedModel()
227 hidl_vec<OutputShape> outputShapes; in EvaluatePreparedModel() local
243 outputShapes = executionCallback->getOutputShapes(); in EvaluatePreparedModel()
253 preparedModel, request, testConfig.measureTiming, &outputShapes, &timing); in EvaluatePreparedModel()
275 std::tie(n, outputShapes, timing, std::ignore) = in EvaluatePreparedModel()
306 ASSERT_TRUE(outputShapes.size() == 0 || in EvaluatePreparedModel()
307 outputShapes.size() == testModel.main.outputIndexes.size()); in EvaluatePreparedModel()
313 ASSERT_EQ(outputShapes.size(), testModel.main.outputIndexes.size()); in EvaluatePreparedModel()
[all …]
/hardware/interfaces/neuralnetworks/utils/adapter/hidl/src/
DPreparedModel.cpp100 const std::vector<nn::OutputShape>& outputShapes, const nn::Timing& timing) { in notify() argument
103 const auto hidlOutputShapes = V1_2::utils::convert(outputShapes).value(); in notify()
113 const std::vector<nn::OutputShape>& outputShapes, const nn::Timing& timing) { in notify() argument
116 const auto hidlOutputShapes = V1_3::utils::convert(outputShapes).value(); in notify()
128 const auto [message, status, outputShapes] = std::move(result).error(); in notify()
130 notify(callback, status, outputShapes, {}); in notify()
132 const auto [outputShapes, timing] = std::move(result).value(); in notify()
133 notify(callback, nn::ErrorStatus::NONE, outputShapes, timing); in notify()
149 const auto& [message, code, outputShapes] = result.error(); in execute()
170 const auto& [message, code, outputShapes] = result.error(); in execute_1_2()
[all …]
DBurst.cpp219 const auto& [outputShapes, timing] = result.value(); in task()
220 mResultChannelSender->send(V1_0::ErrorStatus::NONE, outputShapes, timing); in task()
222 const auto& [message, code, outputShapes] = result.error(); in task()
225 V1_2::utils::convert(outputShapes).value(), kTiming); in task()
252 const auto [outputShapes, timing] = in execute()
255 return std::make_pair(NN_TRY(V1_2::utils::convert(outputShapes)), in execute()
/hardware/interfaces/neuralnetworks/1.2/vts/functional/include/1.2/
DCallbacks.h232 Return<void> notify_1_2(V1_0::ErrorStatus status, const hidl_vec<OutputShape>& outputShapes,
236 Return<void> notify(V1_0::ErrorStatus status, const hidl_vec<OutputShape>& outputShapes, in notify() argument
238 return notify_1_2(status, outputShapes, timing); in notify()
311 void notifyInternal(V1_0::ErrorStatus errorStatus, const hidl_vec<OutputShape>& outputShapes,
/hardware/interfaces/neuralnetworks/aidl/vts/functional/
DQualityOfServiceTests.cpp181 std::move(executionResult.outputShapes), executionResult.timing}); in executeSynchronously()
219 std::move(executionResult.outputShapes), executionResult.timing}); in executeBurst()
232 const auto& [status, outputShapes, timing] = results.value(); in runExecutionTest()
257 ASSERT_TRUE(outputShapes.size() == 0 || in runExecutionTest()
258 outputShapes.size() == testModel.main.outputIndexes.size()); in runExecutionTest()
261 for (uint32_t i = 0; i < outputShapes.size(); i++) { in runExecutionTest()
262 EXPECT_TRUE(outputShapes[i].isSufficient); in runExecutionTest()
266 const std::vector<int32_t>& actual = outputShapes[i].dimensions; in runExecutionTest()
/hardware/interfaces/neuralnetworks/1.3/vts/functional/include/1.3/
DCallbacks.h263 const hidl_vec<V1_2::OutputShape>& outputShapes,
301 const hidl_vec<V1_2::OutputShape>& outputShapes,
378 hidl_vec<V1_2::OutputShape> outputShapes, V1_2::Timing timing);
/hardware/interfaces/neuralnetworks/1.3/utils/include/nnapi/hal/1.3/
DCallbacks.h59 ErrorStatus status, const hidl_vec<V1_2::OutputShape>& outputShapes,
89 const hidl_vec<V1_2::OutputShape>& outputShapes,
91 Return<void> notify_1_3(ErrorStatus status, const hidl_vec<V1_2::OutputShape>& outputShapes,
/hardware/interfaces/neuralnetworks/utils/adapter/aidl/src/
DPreparedModel.cpp137 const auto& [message, code, outputShapes] = result.error(); in executeSynchronously()
140 .outputShapes = utils::convert(outputShapes).value(), in executeSynchronously()
144 const auto& [outputShapes, timing] = NN_TRY(result); in executeSynchronously()
146 .outputShapes = utils::convert(outputShapes).value(), in executeSynchronously()
201 const auto& [message, code, outputShapes] = result.error(); in executeSynchronously()
204 .outputShapes = utils::convert(outputShapes).value(), in executeSynchronously()
208 const auto& [outputShapes, timing] = NN_TRY(result); in executeSynchronously()
210 .outputShapes = utils::convert(outputShapes).value(), in executeSynchronously()
DBurst.cpp120 const auto& [message, code, outputShapes] = result.error(); in executeSynchronously()
122 .outputShapes = utils::convert(outputShapes).value(), in executeSynchronously()
126 const auto& [outputShapes, timing] = NN_TRY(result); in executeSynchronously()
128 .outputShapes = utils::convert(outputShapes).value(), in executeSynchronously()
/hardware/interfaces/neuralnetworks/1.2/
DIExecutionCallback.hal47 * @param outputShapes A list of shape information of model output operands.
48 * The index into "outputShapes" corresponds with to index
50 * outputShapes must be empty unless the status is either
58 oneway notify_1_2(ErrorStatus status, vec<OutputShape> outputShapes, Timing timing);
/hardware/interfaces/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/
DCallbacks.h50 V1_0::ErrorStatus status, const hidl_vec<OutputShape>& outputShapes, const Timing& timing);
77 Return<void> notify_1_2(V1_0::ErrorStatus status, const hidl_vec<OutputShape>& outputShapes,
/hardware/interfaces/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/4/android/hardware/neuralnetworks/
DExecutionResult.aidl38 android.hardware.neuralnetworks.OutputShape[] outputShapes;
/hardware/interfaces/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/3/android/hardware/neuralnetworks/
DExecutionResult.aidl38 android.hardware.neuralnetworks.OutputShape[] outputShapes;
/hardware/interfaces/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/1/android/hardware/neuralnetworks/
DExecutionResult.aidl38 android.hardware.neuralnetworks.OutputShape[] outputShapes;
/hardware/interfaces/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/
DExecutionResult.aidl38 android.hardware.neuralnetworks.OutputShape[] outputShapes;
/hardware/interfaces/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/2/android/hardware/neuralnetworks/
DExecutionResult.aidl38 android.hardware.neuralnetworks.OutputShape[] outputShapes;
/hardware/interfaces/neuralnetworks/1.3/
DIExecutionCallback.hal53 * @param outputShapes A list of shape information of model output operands.
54 * The index into "outputShapes" corresponds with to index
56 * outputShapes must be empty unless the status is either
64 oneway notify_1_3(ErrorStatus status, vec<OutputShape> outputShapes, Timing timing);

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