P4 to Git Change 1607329 by jatang@jatang_win_pal_lc on 2018/09/18 10:34:41
SWDEV-148809 - Device Enqueue on LC/PAL. Affected files ... ... //depot/stg/opencl/drivers/opencl/runtime/device/devkernel.cpp#7 edit ... //depot/stg/opencl/drivers/opencl/runtime/device/pal/paldevice.cpp#109 edit ... //depot/stg/opencl/drivers/opencl/runtime/device/pal/palkernel.cpp#66 edit ... //depot/stg/opencl/drivers/opencl/runtime/device/pal/palprogram.cpp#71 edit ... //depot/stg/opencl/drivers/opencl/runtime/device/pal/palprogram.hpp#28 edit ... //depot/stg/opencl/drivers/opencl/runtime/device/pal/palvirtual.cpp#124 edit ... //depot/stg/opencl/drivers/opencl/runtime/device/pal/palvirtual.hpp#55 edit
Tento commit je obsažen v:
@@ -799,6 +799,11 @@ void Kernel::InitParameters(const KernelMD& kernelMD, uint32_t argBufferSize) {
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// Allocate the hidden arguments, but abstraction layer will skip them
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if (isHidden) {
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if (desc.info_.oclObject_ == amd::KernelParameterDescriptor::HiddenCompletionAction) {
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setDynamicParallelFlag(true);
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}
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offset = amd::alignUp(offset, alignment);
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desc.offset_ = offset;
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desc.size_ = size;
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@@ -2179,15 +2179,24 @@ bool Device::createBlitProgram() {
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// Delayed compilation due to brig_loader memory allocation
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const char* scheduler = nullptr;
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const char* ocl20 = nullptr;
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#if !defined(WITH_LIGHTNING_COMPILER)
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std::string sch = SchedulerSourceCode;
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if (settings().oclVersion_ >= OpenCL20) {
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size_t loc = sch.find("%s");
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sch.replace(loc, 2, iDev()->GetDispatchKernelSource());
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#if defined(WITH_LIGHTNING_COMPILER)
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// For LC, replace "amd_scheduler" with "amd_scheduler_pal"
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static const char AmdScheduler[] = "amd_scheduler";
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static const char AmdSchedulerPal[] = "amd_scheduler_pal";
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loc = sch.find(AmdScheduler);
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sch.replace(loc, strlen(AmdScheduler), AmdSchedulerPal);
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loc = sch.find(AmdScheduler, (loc + strlen(AmdSchedulerPal)));
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sch.replace(loc, strlen(AmdScheduler), AmdSchedulerPal);
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#endif
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scheduler = sch.c_str();
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ocl20 = "-cl-std=CL2.0";
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}
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#endif // !defined(WITH_LIGHTNING_COMPILER)
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blitProgram_ = new BlitProgram(context_);
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// Create blit programs
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if (blitProgram_ == nullptr || !blitProgram_->create(this, scheduler, ocl20)) {
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@@ -421,6 +421,26 @@ bool LightningKernel::init(amd::hsa::loader::Symbol* symbol) {
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workGroupInfo_.compileVecTypeHint_ = kernelMD->mAttrs.mVecTypeHint.c_str();
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}
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if (!kernelMD->mAttrs.mRuntimeHandle.empty()) {
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hsa_agent_t agent;
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agent.handle = 1;
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amd::hsa::loader::Symbol* rth_symbol;
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// Get the runtime handle symbol GPU address
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rth_symbol = prog_.GetSymbol(const_cast<char*>(kernelMD->mAttrs.mRuntimeHandle.c_str()),
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const_cast<hsa_agent_t*>(&agent));
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uint64_t symbol_address;
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rth_symbol->GetInfo(HSA_EXECUTABLE_SYMBOL_INFO_VARIABLE_ADDRESS, &symbol_address);
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// Copy the kernel_object pointer to the runtime handle symbol GPU address
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const Memory& codeSegGpu = prog_.codeSegGpu();
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uint64_t offset = symbol_address - codeSegGpu.vmAddress();
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uint64_t kernel_object = gpuAqlCode();
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VirtualGPU* gpu = codeSegGpu.dev().xferQueue();
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codeSegGpu.writeRawData(*gpu, offset, 8, &kernel_object, true);
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}
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// Copy wavefront size
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workGroupInfo_.wavefrontSize_ = dev().info().wavefrontWidth_;
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@@ -1592,11 +1592,6 @@ bool LightningProgram::setKernels(amd::option::Options* options, void* binary, s
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std::max(static_cast<uint>(kernel->workGroupInfo()->scratchRegs_), maxScratchRegs_);
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}
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// Allocate kernel table for device enqueuing
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if (!isNull() && false /*dynamicParallelism*/ && !allocKernelTable()) {
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return false;
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}
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// Get the list of global variables
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std::vector<std::string> glbVarNames;
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status = executable_->IterateSymbols(GetGlobalVarNamesCallback, &glbVarNames);
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@@ -181,6 +181,11 @@ class HSAILProgram : public device::Program {
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//! Global variables are a part of the code segment
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bool GlobalVariables() const { return globalVars_; }
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//! Get symbol by name
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amd::hsa::loader::Symbol* GetSymbol(const char* symbol_name, const hsa_agent_t *agent) const {
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return executable_->GetSymbol(symbol_name, agent);
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}
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protected:
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//! pre-compile setup for GPU
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virtual bool initBuild(amd::option::Options* options);
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@@ -1894,18 +1894,10 @@ void VirtualGPU::PrintChildren(const HSAILKernel& hsaKernel, VirtualGPU* gpuDefQ
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print << wraps[i].aql.grid_size_y << ", ";
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print << wraps[i].aql.grid_size_z << "]\n";
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uint64_t* kernels =
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(uint64_t*)(const_cast<Memory*>(hsaKernel.prog().kernelTable())->map(this));
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for (j = 0; j < hsaKernel.prog().kernels().size(); ++j) {
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if (kernels[j] == wraps[i].aql.kernel_object) {
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break;
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}
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}
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const_cast<Memory*>(hsaKernel.prog().kernelTable())->unmap(this);
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HSAILKernel* child = nullptr;
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for (auto it = hsaKernel.prog().kernels().begin();
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it != hsaKernel.prog().kernels().end(); ++it) {
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if (j == static_cast<HSAILKernel*>(it->second)->index()) {
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if (wraps[i].aql.kernel_object == static_cast<HSAILKernel*>(it->second)->gpuAqlCode()) {
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child = static_cast<HSAILKernel*>(it->second);
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}
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}
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@@ -1996,14 +1988,15 @@ bool VirtualGPU::PreDeviceEnqueue(
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}
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*vmDefQueue = (*gpuDefQueue)->virtualQueue_->vmAddress();
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(*gpuDefQueue)->writeVQueueHeader(*this, hsaKernel.prog().kernelTable()->vmAddress());
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(*gpuDefQueue)->writeVQueueHeader(*this, hsaKernel.prog().kernelTable());
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// Acquire USWC memory for the scheduler parameters
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(*gpuDefQueue)->schedParams_ = &xferWrite().Acquire(sizeof(SchedulerParam));
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// Add memory handles before the actual dispatch
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addVmMemory((*gpuDefQueue)->virtualQueue_);
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addVmMemory((*gpuDefQueue)->schedParams_);
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addVmMemory(hsaKernel.prog().kernelTable());
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return true;
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}
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@@ -3252,10 +3245,15 @@ amd::Memory* VirtualGPU::createBufferFromImage(amd::Memory& amdImage) {
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return mem;
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}
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void VirtualGPU::writeVQueueHeader(VirtualGPU& hostQ, uint64_t kernelTable) {
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const static bool Wait = true;
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vqHeader_->kernel_table = kernelTable;
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virtualQueue_->writeRawData(hostQ, 0, sizeof(AmdVQueueHeader), vqHeader_, Wait);
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void VirtualGPU::writeVQueueHeader(VirtualGPU& hostQ, const Memory* kernelTable) {
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if (nullptr == kernelTable) {
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vqHeader_->kernel_table = 0;
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} else {
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vqHeader_->kernel_table = kernelTable->vmAddress();
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addVmMemory(kernelTable);
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}
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virtualQueue_->writeRawData(hostQ, 0, sizeof(AmdVQueueHeader), vqHeader_, true);
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}
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void VirtualGPU::buildKernelInfo(const HSAILKernel& hsaKernel, hsa_kernel_dispatch_packet_t* aqlPkt,
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@@ -423,7 +423,7 @@ class VirtualGPU : public device::VirtualDevice {
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Memory* vQueue() const { return virtualQueue_; }
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//! Update virtual queue header
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void writeVQueueHeader(VirtualGPU& hostQ, uint64_t kernelTable);
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void writeVQueueHeader(VirtualGPU& hostQ, const Memory* kernelTable);
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//! Returns TRUE if virtual queue was successfully allocatted
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bool createVirtualQueue(uint deviceQueueSize //!< Device queue size
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