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//
// Copyright © 2017, 2023 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "ClBackendContext.hpp"
#include "ClContextControl.hpp"
#include <armnn/Logging.hpp>
#include <armnn/utility/Assert.hpp>
#include <armnn/utility/PolymorphicDowncast.hpp>
#include <arm_compute/core/CL/OpenCL.h>
#include <arm_compute/core/CL/CLKernelLibrary.h>
#include <arm_compute/runtime/CL/CLScheduler.h>
#include <arm_compute/runtime/CL/CLTunerTypes.h>
namespace armnn
{
struct ClBackendContext::ClContextControlWrapper
{
ClContextControlWrapper(arm_compute::CLTuner* tuner,
arm_compute::CLGEMMHeuristicsHandle* heuristicsHandle,
bool profilingEnabled)
: m_ClContextControl(tuner, heuristicsHandle, profilingEnabled)
{}
bool Sync()
{
if (arm_compute::CLScheduler::get().context()() != NULL)
{
// Waits for all queued CL requests to finish before unloading the network they may be using.
try
{
// Coverity fix: arm_compute::CLScheduler::sync() may throw an exception of type cl::Error.
arm_compute::CLScheduler::get().sync();
}
catch (const cl::Error&)
{
ARMNN_LOG(warning) << "Runtime::UnloadNetwork(): an error occurred while waiting for "
"the queued CL requests to finish";
return false;
}
}
return true;
}
void ClearClCache()
{
if (arm_compute::CLScheduler::get().context()() != NULL)
{
// There are no loaded networks left, so clear the CL cache to free up memory
m_ClContextControl.ClearClCache();
}
}
ClContextControl m_ClContextControl;
};
ClBackendContext::ClBackendContext(const IRuntime::CreationOptions& options)
: IBackendContext(options)
, m_TuningFile()
{
bool kernelProfiling = options.m_EnableGpuProfiling;
arm_compute::CLTuner* tuner = nullptr;
arm_compute::CLGEMMHeuristicsHandle* mlgoTuner = nullptr;
bool useLegacyTunerAPI = options.m_GpuAccTunedParameters.get() != nullptr;
if (useLegacyTunerAPI)
{
auto clTunerParams = PolymorphicDowncast<ClTunedParameters*>(
options.m_GpuAccTunedParameters.get());
tuner = &clTunerParams->m_Tuner;
if (tuner)
{
auto ConvertTuningLevel = [](IGpuAccTunedParameters::TuningLevel level,
armnn::IGpuAccTunedParameters::Mode mode)
{
if (mode == armnn::IGpuAccTunedParameters::Mode::UseTunedParameters)
{
return TuningLevel::None;
}
switch(level)
{
case IGpuAccTunedParameters::TuningLevel::Rapid:
return TuningLevel::Rapid;
case IGpuAccTunedParameters::TuningLevel::Normal:
return TuningLevel::Normal;
case IGpuAccTunedParameters::TuningLevel::Exhaustive:
return TuningLevel::Exhaustive;
default:
{
ARMNN_ASSERT_MSG(false, "Tuning level not recognised.");
return TuningLevel::None;
}
}
};
TuningLevel tuningLevel = ConvertTuningLevel(clTunerParams->m_TuningLevel, clTunerParams->m_Mode);
ConfigureTuner(*tuner, tuningLevel);
}
}
else //New backend options API
{
const TuningLevel defaultTuningLevel = TuningLevel::None;
auto tuningLevel = defaultTuningLevel;
ParseOptions(options.m_BackendOptions, "GpuAcc", [&](std::string name, const BackendOptions::Var& value)
{
if (name == "KernelProfilingEnabled")
{
kernelProfiling |= ParseBooleanBackendOption(value, false);
} else if (name == "TuningFile")
{
m_TuningFile = ParseStringBackendOption(value, "");
} else if (name == "TuningLevel")
{
tuningLevel = ParseTuningLevel(value, defaultTuningLevel);
}
else if (name == "MLGOTuningFilePath")
{
m_MLGOTuningFile = ParseStringBackendOption(value, "");
}
});
// Create the tuner, in tuning mode initially.
m_Tuner = std::make_unique<arm_compute::CLTuner>(true);
ConfigureTuner(*(m_Tuner.get()), tuningLevel);
if (!m_TuningFile.empty())
{
try
{
ARMNN_LOG(info) << "Loading Gpu tuning data from file: " << m_TuningFile;
m_Tuner->load_from_file(m_TuningFile.c_str());
}
catch (const std::exception& e)
{
// Warn if not tuning, otherwise tuning will generate new params
if (tuningLevel == TuningLevel::None)
{
ARMNN_LOG(warning) << "Could not load GpuAcc tuner data file.";
}
}
}
if (!m_MLGOTuningFile.empty())
{
try
{
ARMNN_LOG(info) << "Loading Gpu MLGO tuning data from file: " << m_TuningFile;
if(m_MLGOTuner.reload_from_file(m_MLGOTuningFile.c_str()))
{
mlgoTuner = &m_MLGOTuner;
}
}
catch (const std::exception& e)
{
ARMNN_LOG(warning) << "Could not load GpuAcc MLGO tuner data file.";
}
}
tuner = m_Tuner.get();
}
m_ClContextControlWrapper = std::make_unique<ClContextControlWrapper>(
tuner,
mlgoTuner,
kernelProfiling
);
}
bool ClBackendContext::BeforeLoadNetwork(NetworkId)
{
return true;
}
bool ClBackendContext::AfterLoadNetwork(NetworkId networkId)
{
{
std::lock_guard<std::mutex> lockGuard(m_Mutex);
m_NetworkIds.insert(networkId);
}
return true;
}
bool ClBackendContext::BeforeUnloadNetwork(NetworkId)
{
return m_ClContextControlWrapper->Sync();
}
bool ClBackendContext::AfterUnloadNetwork(NetworkId networkId)
{
bool clearCache = false;
{
std::lock_guard<std::mutex> lockGuard(m_Mutex);
m_NetworkIds.erase(networkId);
clearCache = m_NetworkIds.empty();
}
if (clearCache)
{
m_ClContextControlWrapper->ClearClCache();
}
return true;
}
bool ClBackendContext::AfterEnqueueWorkload(NetworkId)
{
return m_ClContextControlWrapper->Sync();
}
ClBackendContext::~ClBackendContext()
{
if (m_Tuner && !m_TuningFile.empty())
{
try
{
m_Tuner->save_to_file(m_TuningFile.c_str());
}
catch(const std::exception& e)
{
ARMNN_LOG(warning) << "Could not save GpuAcc tuner data to file " << m_TuningFile;
}
}
}
} // namespace armnn
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