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| author | Slava Shklyaev <slavash@google.com> | 2020-05-13 11:13:13 +0100 |
|---|---|---|
| committer | Slava Shklyaev <slavash@google.com> | 2020-05-13 12:09:24 +0000 |
| commit | 5529caefe11203d99de92a718b830ea6d8ae39fb (patch) | |
| tree | d82051f48d87bafbc2768f888eddca765870dd48 /nn | |
| parent | 6a8e397336cb494c488951183cc2d591deb8fe13 (diff) | |
| download | ml-5529caefe11203d99de92a718b830ea6d8ae39fb.tar.gz | |
Avoid compiling ExecutionPlan::SimpleBody multiple times
Bug: 153143917
Test: NNT_static 256 --gtest_filter=TrivialTest.AddTwoWithHardwareBufferInput
Change-Id: I4c851cbae28a3bba48e5bbc842b1d880b555a8ed
Diffstat (limited to 'nn')
| -rw-r--r-- | nn/runtime/ExecutionPlan.cpp | 4 |
1 files changed, 3 insertions, 1 deletions
diff --git a/nn/runtime/ExecutionPlan.cpp b/nn/runtime/ExecutionPlan.cpp index 0557f95d4..508b00611 100644 --- a/nn/runtime/ExecutionPlan.cpp +++ b/nn/runtime/ExecutionPlan.cpp @@ -607,6 +607,7 @@ void LogicalStep::dump() const { int ExecutionPlan::CompoundBody::finish(const SourceModels* sourceModels, int32_t executionPreference, int32_t priority, const std::optional<Deadline>& deadline) { + CHECK(!mSuccessfulFinish); CHECK(!deadline.has_value()); const ModelBuilder* mainModel = sourceModels->getModel(kMainModelInSourceModels); @@ -700,6 +701,7 @@ void ExecutionPlan::CompoundBody::findControlFlowBoundaryConstants( int ExecutionPlan::SimpleBody::finish(const SourceModels*, int32_t executionPreference, int32_t priority, const std::optional<Deadline>& deadline) { + CHECK(!mSuccessfulFinish); CHECK(mDevice != nullptr); VLOG(COMPILATION) << "ExecutionPlan::SimpleBody::finish, compilation"; const int n = compile(*mDevice, *mModel, executionPreference, priority, deadline, *mCacheDir, @@ -1637,7 +1639,7 @@ int ModelBuilder::partitionTheWorkInternal(uint32_t sourceModelIndex, VLOG(COMPILATION) << "ModelBuilder::partitionTheWork: only one best device: " << bestDeviceIndex << " = " << devices[bestDeviceIndex]->getName(); plan->becomeSingleStep(devices[bestDeviceIndex], this); - return plan->finish(preference, priority, deadline); + return ANEURALNETWORKS_NO_ERROR; } } |