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author | Colm Donelan <colm.donelan@arm.com> | 2022-07-06 12:09:05 +0100 |
---|---|---|
committer | Nikhil Raj <nikhil.raj@arm.com> | 2022-07-27 15:56:33 +0100 |
commit | d7ceec59ce45f690deba2c0d452ec91fabbdadf9 (patch) | |
tree | ddea3d4092d1d9df21a751bf8cf1750c746ad644 /src/backends/backendsCommon | |
parent | 9d9dd223ba9fbc509ea8ff1c211d3c63943a5989 (diff) | |
download | armnn-d7ceec59ce45f690deba2c0d452ec91fabbdadf9.tar.gz |
IVGCVSW-6896 Fix pre-import when using sync execute.
* Refactor backend capability checks in LoadedNetwork.
* ImportInputs should check the number of tensors does not exceed the
number of inputs.
* In EnqueueWorkload the check for for the count of input tensors
was ignoring pre-imported inputs.
* Added checks to verify ImportInputs/ImportOutputs worked as expected
in EndToEndTestImpl.
* Improve documentation on ImportInputs/ImportOutputs in IRuntime.hpp.
* Disabled import tests in CL and Neon EndToEndTests that cannot work.
Signed-off-by: Colm Donelan <colm.donelan@arm.com>
Change-Id: Iae4b2644a1c9f01ee72bce1afb211661cc9ae2e3
Diffstat (limited to 'src/backends/backendsCommon')
-rw-r--r-- | src/backends/backendsCommon/test/EndToEndTestImpl.hpp | 36 |
1 files changed, 30 insertions, 6 deletions
diff --git a/src/backends/backendsCommon/test/EndToEndTestImpl.hpp b/src/backends/backendsCommon/test/EndToEndTestImpl.hpp index cc5aa23ca3..44ae2beb76 100644 --- a/src/backends/backendsCommon/test/EndToEndTestImpl.hpp +++ b/src/backends/backendsCommon/test/EndToEndTestImpl.hpp @@ -887,10 +887,12 @@ inline void ForceImportWithAlignedBuffersEndToEndTest(std::vector<BackendId> bac runtime->GetProfiler(netId)->EnableProfiling(true); std::vector<ImportedInputId> importedInputIds = runtime->ImportInputs(netId, inputTensors, MemorySource::Malloc); + CHECK(importedInputIds.size() == 1); std::vector<ImportedOutputId> importedOutputIds = runtime->ImportOutputs(netId, outputTensors, MemorySource::Malloc); + CHECK(importedOutputIds.size() == 1); // Do the inference and force the import as the memory is aligned. - runtime->EnqueueWorkload(netId, inputTensors, outputTensors, importedInputIds, importedOutputIds); + runtime->EnqueueWorkload(netId, InputTensors(), OutputTensors(), importedInputIds, importedOutputIds); // Retrieve the Profiler.Print() output to get the workload execution ProfilerManager& profilerManager = armnn::ProfilerManager::GetInstance(); @@ -997,11 +999,14 @@ inline void ForceImportWithMisalignedInputBuffersEndToEndTest(std::vector<Backen runtime->GetProfiler(netId)->EnableProfiling(true); std::vector<ImportedInputId> importedInputIds = runtime->ImportInputs(netId, inputTensors, MemorySource::Malloc); + // We expect the import to have failed. + CHECK(importedInputIds.size() == 0); std::vector<ImportedOutputId> importedOutputIds = runtime->ImportOutputs(netId, outputTensors, MemorySource::Malloc); + CHECK(importedOutputIds.size() == 1); // Do the inference and force the import as the memory is misaligned. - runtime->EnqueueWorkload(netId, inputTensors, outputTensors, importedInputIds, importedOutputIds); + runtime->EnqueueWorkload(netId, inputTensors, OutputTensors(), importedInputIds, importedOutputIds); // Retrieve the Profiler.Print() output to get the workload execution ProfilerManager& profilerManager = armnn::ProfilerManager::GetInstance(); @@ -1113,11 +1118,14 @@ inline void ForceImportWithMisalignedOutputBuffersEndToEndTest(std::vector<Backe runtime->GetProfiler(netId)->EnableProfiling(true); std::vector<ImportedInputId> importedInputIds = runtime->ImportInputs(netId, inputTensors, MemorySource::Malloc); + CHECK(importedInputIds.size() == 1); + // We expect this to fail. std::vector<ImportedOutputId> importedOutputIds = runtime->ImportOutputs(netId, outputTensors, MemorySource::Malloc); + CHECK(importedOutputIds.size() == 0); - // Do the inference and force the import as the memory is misaligned. - runtime->EnqueueWorkload(netId, inputTensors, outputTensors, importedInputIds, importedOutputIds); + // Even if importing the output failed we still expect to be able to get it to work. + runtime->EnqueueWorkload(netId, InputTensors(), outputTensors, importedInputIds, importedOutputIds); // Retrieve the Profiler.Print() output to get the workload execution ProfilerManager& profilerManager = armnn::ProfilerManager::GetInstance(); @@ -1233,8 +1241,12 @@ inline void ForceImportWithMisalignedInputAndOutputBuffersEndToEndTest(std::vect runtime->GetProfiler(netId)->EnableProfiling(true); std::vector<ImportedInputId> importedInputIds = runtime->ImportInputs(netId, inputTensors, MemorySource::Malloc); + // Import should have failed. + CHECK(importedInputIds.size() == 0); std::vector<ImportedOutputId> importedOutputIds = runtime->ImportOutputs(netId, outputTensors, MemorySource::Malloc); + // Import should have failed. + CHECK(importedOutputIds.size() == 0); // Do the inference and force the import as the memory is misaligned. runtime->EnqueueWorkload(netId, inputTensors, outputTensors, importedInputIds, importedOutputIds); @@ -1339,10 +1351,12 @@ inline void ForceImportRepeatedInferencesEndToEndTest(std::vector<BackendId> bac runtime->GetProfiler(netId)->EnableProfiling(true); std::vector<ImportedInputId> importedInputIds = runtime->ImportInputs(netId, inputTensors, MemorySource::Malloc); + CHECK(importedInputIds.size() == 1); std::vector<ImportedOutputId> importedOutputIds = runtime->ImportOutputs(netId, outputTensors, MemorySource::Malloc); + CHECK(importedOutputIds.size() == 1); // Do the inference and force the import as the memory is aligned. - runtime->EnqueueWorkload(netId, inputTensors, outputTensors, importedInputIds, importedOutputIds); + runtime->EnqueueWorkload(netId, InputTensors(), OutputTensors(), importedInputIds, importedOutputIds); // Retrieve the Profiler.AnalyzeEventsAndWriteResults() output to get the workload execution ProfilerManager& profilerManager = armnn::ProfilerManager::GetInstance(); @@ -1408,7 +1422,11 @@ inline void ForceImportRepeatedInferencesEndToEndTest(std::vector<BackendId> bac {0,armnn::Tensor(runtime->GetOutputTensorInfo(netId, 0), misalignedOutputPtr)} }; importedInputIds = runtime->ImportInputs(netId, inputTensorsMisaligned, MemorySource::Malloc); + // Import should fail. + CHECK(importedInputIds.size() == 0); importedOutputIds = runtime->ImportOutputs(netId, outputTensorsMisaligned, MemorySource::Malloc); + // Import should fail. + CHECK(importedOutputIds.size() == 0); // Do the inference and force the import as the memory is misaligned. runtime->EnqueueWorkload(netId, @@ -1527,8 +1545,12 @@ inline void ForceImportRepeatedInferencesInvertedEndToEndTest(std::vector<Backen runtime->GetProfiler(netId)->EnableProfiling(true); std::vector<ImportedInputId> importedInputIds = runtime->ImportInputs(netId, inputTensorsMisaligned, MemorySource::Malloc); + // Import should fail. + CHECK(importedInputIds.size() == 0); std::vector<ImportedOutputId> importedOutputIds = runtime->ImportOutputs(netId, outputTensorsMisaligned, MemorySource::Malloc); + // Import should fail. + CHECK(importedOutputIds.size() == 0); // Do the inference and force the import as the memory is misaligned. runtime->EnqueueWorkload(netId, @@ -1593,9 +1615,11 @@ inline void ForceImportRepeatedInferencesInvertedEndToEndTest(std::vector<Backen }; importedInputIds = runtime->ImportInputs(netId, inputTensors, MemorySource::Malloc); + CHECK(importedInputIds.size() == 1); importedOutputIds = runtime->ImportOutputs(netId, outputTensors, MemorySource::Malloc); + CHECK(importedOutputIds.size() == 1); // Do the inference and force the import as the memory is aligned. - runtime->EnqueueWorkload(netId, inputTensors, outputTensors, importedInputIds, importedOutputIds); + runtime->EnqueueWorkload(netId, InputTensors(), OutputTensors(), importedInputIds, importedOutputIds); // Retrieve the Profiler.AnalyzeEventsAndWriteResults() output to get the workload execution // We need to use AnalyzeEventsAndWriteResults here to make sure the second inference has been profiled |