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//
// Copyright © 2023 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "GpuFsaContextControl.hpp"
#include <armnn/Exceptions.hpp>
#include <armnn/utility/Assert.hpp>
#include <LeakChecking.hpp>
#include <arm_compute/core/CL/CLKernelLibrary.h>
#include <arm_compute/runtime/CL/CLScheduler.h>
#include <fmt/format.h>
namespace cl
{
class Context;
class CommandQueue;
class Device;
}
namespace armnn
{
GpuFsaContextControl::GpuFsaContextControl(arm_compute::CLTuner *tuner,
arm_compute::CLGEMMHeuristicsHandle* heuristicsHandle,
bool profilingEnabled)
: m_Tuner(tuner)
, m_HeuristicsHandle(heuristicsHandle)
, m_ProfilingEnabled(profilingEnabled)
{
try
{
std::vector<cl::Platform> platforms;
cl::Platform::get(&platforms);
// Selects default platform for the first element.
cl::Platform::setDefault(platforms[0]);
std::vector<cl::Device> devices;
platforms[0].getDevices(CL_DEVICE_TYPE_GPU, &devices);
// Selects default device for the first element.
cl::Device::setDefault(devices[0]);
}
catch (const cl::Error& clError)
{
throw ClRuntimeUnavailableException(fmt::format(
"Could not initialize the CL runtime. Error description: {0}. CL error code: {1}",
clError.what(), clError.err()));
}
// Removes the use of global CL context.
cl::Context::setDefault(cl::Context{});
ARMNN_ASSERT(cl::Context::getDefault()() == NULL);
// Removes the use of global CL command queue.
cl::CommandQueue::setDefault(cl::CommandQueue{});
ARMNN_ASSERT(cl::CommandQueue::getDefault()() == NULL);
// Always load the OpenCL runtime.
LoadOpenClRuntime();
}
GpuFsaContextControl::~GpuFsaContextControl()
{
// Load the OpencCL runtime without the tuned parameters to free the memory for them.
try
{
UnloadOpenClRuntime();
}
catch (const cl::Error& clError)
{
// This should not happen, it is ignored if it does.
// Coverity fix: BOOST_LOG_TRIVIAL (previously used here to report the error) may throw an
// exception of type std::length_error.
// Using stderr instead in this context as there is no point in nesting try-catch blocks here.
std::cerr << "A CL error occurred unloading the runtime tuner parameters: "
<< clError.what() << ". CL error code is: " << clError.err() << std::endl;
}
}
void GpuFsaContextControl::LoadOpenClRuntime()
{
DoLoadOpenClRuntime(true);
}
void GpuFsaContextControl::UnloadOpenClRuntime()
{
DoLoadOpenClRuntime(false);
}
void GpuFsaContextControl::DoLoadOpenClRuntime(bool updateTunedParameters)
{
cl::Device device = cl::Device::getDefault();
cl::Context context;
cl::CommandQueue commandQueue;
if (arm_compute::CLScheduler::get().is_initialised() && arm_compute::CLScheduler::get().context()() != NULL)
{
// Wait for all queued CL requests to finish before reinitialising it.
arm_compute::CLScheduler::get().sync();
}
try
{
arm_compute::CLKernelLibrary::get().clear_programs_cache();
// Initialise the scheduler with a dummy context to release the LLVM data (which only happens when there are no
// context references); it is initialised again, with a proper context, later.
arm_compute::CLScheduler::get().init(context, commandQueue, device);
arm_compute::CLKernelLibrary::get().init(".", context, device);
{
//
// Here we replace the context with a new one in which
// the memory leak checks show it as an extra allocation but
// because of the scope of the leak checks, it doesn't count
// the disposal of the original object. On the other hand it
// does count the creation of this context which it flags
// as a memory leak. By adding the following line we prevent
// this to happen.
//
ARMNN_DISABLE_LEAK_CHECKING_IN_SCOPE();
context = cl::Context(device);
}
// NOTE: In this specific case profiling has to be enabled on the command queue
// in order for the CLTuner to work.
bool profilingNeededForClTuner = updateTunedParameters && m_Tuner &&
m_Tuner->tune_new_kernels();
if (m_ProfilingEnabled || profilingNeededForClTuner)
{
// Create a new queue with profiling enabled.
commandQueue = cl::CommandQueue(context, device, CL_QUEUE_PROFILING_ENABLE);
}
else
{
// Use default queue.
commandQueue = cl::CommandQueue(context, device);
}
}
catch (const cl::Error& clError)
{
throw ClRuntimeUnavailableException(fmt::format(
"Could not initialize the CL runtime. Error description: {0}. CL error code: {1}",
clError.what(), clError.err()));
}
// Note the first argument (path to cl source code) will be ignored as they should be embedded in the armcompute.
arm_compute::CLKernelLibrary::get().init(".", context, device);
arm_compute::CLScheduler::get().init(context, commandQueue, device, m_Tuner, m_HeuristicsHandle);
}
void GpuFsaContextControl::ClearClCache()
{
DoLoadOpenClRuntime(true);
}
} // namespace armnn
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