diff options
Diffstat (limited to 'neuralnetworks/1.2/utils/src/Burst.cpp')
| -rw-r--r-- | neuralnetworks/1.2/utils/src/Burst.cpp | 16 |
1 files changed, 10 insertions, 6 deletions
diff --git a/neuralnetworks/1.2/utils/src/Burst.cpp b/neuralnetworks/1.2/utils/src/Burst.cpp index 911fbfa981..23e80709a0 100644 --- a/neuralnetworks/1.2/utils/src/Burst.cpp +++ b/neuralnetworks/1.2/utils/src/Burst.cpp @@ -305,8 +305,9 @@ Burst::OptionalCacheHold Burst::cacheMemory(const nn::SharedMemory& memory) cons nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> Burst::execute( const nn::Request& request, nn::MeasureTiming measure, - const nn::OptionalTimePoint& deadline, - const nn::OptionalDuration& loopTimeoutDuration) const { + const nn::OptionalTimePoint& deadline, const nn::OptionalDuration& loopTimeoutDuration, + const std::vector<nn::TokenValuePair>& /*hints*/, + const std::vector<nn::ExtensionNameAndPrefix>& /*extensionNameToPrefix*/) const { // This is the first point when we know an execution is occurring, so begin to collect // systraces. Note that the first point we can begin collecting systraces in // ExecutionBurstServer is when the RequestChannelReceiver realizes there is data in the FMQ, so @@ -317,7 +318,7 @@ nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> Burst:: // fall back to another execution path if (!compliantVersion(request).ok()) { // fallback to another execution path if the packet could not be sent - return kPreparedModel->execute(request, measure, deadline, loopTimeoutDuration); + return kPreparedModel->execute(request, measure, deadline, loopTimeoutDuration, {}, {}); } // ensure that request is ready for IPC @@ -346,7 +347,7 @@ nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> Burst:: // send request packet const auto requestPacket = serialize(hidlRequest, hidlMeasure, slots); const auto fallback = [this, &request, measure, &deadline, &loopTimeoutDuration] { - return kPreparedModel->execute(request, measure, deadline, loopTimeoutDuration); + return kPreparedModel->execute(request, measure, deadline, loopTimeoutDuration, {}, {}); }; return executeInternal(requestPacket, relocation, fallback); } @@ -354,14 +355,17 @@ nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> Burst:: // See IBurst::createReusableExecution for information on this method. nn::GeneralResult<nn::SharedExecution> Burst::createReusableExecution( const nn::Request& request, nn::MeasureTiming measure, - const nn::OptionalDuration& loopTimeoutDuration) const { + const nn::OptionalDuration& loopTimeoutDuration, + const std::vector<nn::TokenValuePair>& /*hints*/, + const std::vector<nn::ExtensionNameAndPrefix>& /*extensionNameToPrefix*/) const { NNTRACE_RT(NNTRACE_PHASE_EXECUTION, "Burst::createReusableExecution"); // if the request is valid but of a higher version than what's supported in burst execution, // fall back to another execution path if (!compliantVersion(request).ok()) { // fallback to another execution path if the packet could not be sent - return kPreparedModel->createReusableExecution(request, measure, loopTimeoutDuration); + return kPreparedModel->createReusableExecution(request, measure, loopTimeoutDuration, {}, + {}); } // ensure that request is ready for IPC |