// // Copyright © 2017 Arm Ltd. All rights reserved. // See LICENSE file in the project root for full license information. // #include "ClContextControl.hpp" #include "armnn/Exceptions.hpp" #ifdef ARMCOMPUTECL_ENABLED #include #include #endif #include #include #include #include #include "LeakChecking.hpp" namespace cl { class Context; class CommandQueue; class Device; } namespace armnn { ClContextControl::ClContextControl(IClTunedParameters* clTunedParameters) : m_clTunedParameters(boost::polymorphic_downcast(clTunedParameters)) { #ifdef ARMCOMPUTECL_ENABLED try { std::vector platforms; cl::Platform::get(&platforms); // Select default platform as the first element cl::Platform::setDefault(platforms[0]); std::vector devices; platforms[0].getDevices(CL_DEVICE_TYPE_GPU, &devices); // Select default device as the first element cl::Device::setDefault(devices[0]); } catch (const cl::Error& clError) { throw ClRuntimeUnavailableException(boost::str(boost::format( "Could not initialize the CL runtime. Error description: %1%. CL error code: %2%" ) % clError.what() % clError.err())); } // Remove the use of global CL context cl::Context::setDefault(cl::Context{}); BOOST_ASSERT(cl::Context::getDefault()() == NULL); // Remove the use of global CL command queue cl::CommandQueue::setDefault(cl::CommandQueue{}); BOOST_ASSERT(cl::CommandQueue::getDefault()() == NULL); // always load the OpenCL runtime LoadOpenClRuntime(); #endif } ClContextControl::~ClContextControl() { #ifdef ARMCOMPUTECL_ENABLED // 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; } #endif } void ClContextControl::LoadOpenClRuntime() { DoLoadOpenClRuntime(true); } void ClContextControl::UnloadOpenClRuntime() { DoLoadOpenClRuntime(false); } void ClContextControl::DoLoadOpenClRuntime(bool useTunedParameters) { #ifdef ARMCOMPUTECL_ENABLED cl::Device device = cl::Device::getDefault(); cl::Context context; cl::CommandQueue commandQueue; if (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 which in // the memory leak checks shows as an extra allocation but // because of the scope of the leak check 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); } bool enableProfiling = false; #if ARMNN_PROFILING_ENABLED enableProfiling = true; #endif if (useTunedParameters && m_clTunedParameters && m_clTunedParameters->m_Mode == IClTunedParameters::Mode::UpdateTunedParameters) { enableProfiling = true; // Needed for the CLTuner to work. } if (enableProfiling) { // 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(boost::str(boost::format( "Could not initialize the CL runtime. Error description: %1%. CL error code: %2%" ) % 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::ICLTuner* tuner = nullptr; if (useTunedParameters && m_clTunedParameters) { tuner = &m_clTunedParameters->m_Tuner; } arm_compute::CLScheduler::get().init(context, commandQueue, device, tuner); #endif } void ClContextControl::ClearClCache() { DoLoadOpenClRuntime(true); } armnn::IClTunedParameters* IClTunedParameters::CreateRaw(armnn::IClTunedParameters::Mode mode) { return new ClTunedParameters(mode); } armnn::IClTunedParametersPtr IClTunedParameters::Create(armnn::IClTunedParameters::Mode mode) { return IClTunedParametersPtr(CreateRaw(mode), &IClTunedParameters::Destroy); } void IClTunedParameters::Destroy(IClTunedParameters* params) { delete params; } ClTunedParameters::ClTunedParameters(armnn::IClTunedParameters::Mode mode) : m_Mode(mode) #ifdef ARMCOMPUTECL_ENABLED , m_Tuner(mode == ClTunedParameters::Mode::UpdateTunedParameters) #endif { } void ClTunedParameters::Load(const char* filename) { #ifdef ARMCOMPUTECL_ENABLED try { m_Tuner.load_from_file(filename); } catch (const std::exception& e) { throw armnn::Exception(std::string("Failed to load tuned parameters file '") + filename + "': " + e.what()); } #endif } void ClTunedParameters::Save(const char* filename) const { #ifdef ARMCOMPUTECL_ENABLED try { m_Tuner.save_to_file(filename); } catch (const std::exception& e) { throw armnn::Exception(std::string("Failed to save tuned parameters file to '") + filename + "': " + e.what()); } #endif } } // namespace armnn