HAL interface for compilation and execution hints
The following AIDL types are added:
- TokenValuePair
- PrepareModelConfig
- ExecutionConfig
The following AIDL methods are added:
- IDevice::prepareModelWithConfig
- IPreparedModel::executeSynchronouslyWithConfig
- IPreparedModel::executeFencedWithConfig
- IBurst::executeSynchronouslyWithConfig
The compilation and execution hints are being stored as a list of
token-value pairs as part of the PrepareModelConfig / ExecutionConfig.
And the PrepareModelConfig / ExecutionConfig parcelables are created in
order to make future extensions to the execution related interfaces
easier.
It is the drivers responsibility to verify the hints, and it is allowed
for the driver to ignore them.
Bug: 203248587
Test: neuralnetworks_utils_hal_aidl_test
Change-Id: I98240fd75089fc85cdfcaa0be28aab8a6f0dfca5
diff --git a/neuralnetworks/1.2/utils/src/Burst.cpp b/neuralnetworks/1.2/utils/src/Burst.cpp
index 911fbfa..23e8070 100644
--- a/neuralnetworks/1.2/utils/src/Burst.cpp
+++ b/neuralnetworks/1.2/utils/src/Burst.cpp
@@ -305,8 +305,9 @@
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 @@
// 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 @@
// 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 @@
// 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