foreman
0758f1e95b
ECR #304775 - Use accelerated copy path for read/writeRect if the host memory has offsets. This avoids re-pinning the memory giving nearly a 100% perf boost for such copies. ReviewBoardURL = http://ocltc.amd.com/reviews/r/5371/diff/ Affected files ... ... //depot/stg/opencl/drivers/opencl/runtime/device/gpu/gpuvirtual.cpp#328 edit
3403 라인
114 KiB
C++
3403 라인
114 KiB
C++
//
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// Copyright (c) 2008 Advanced Micro Devices, Inc. All rights reserved.
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//
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#include "platform/perfctr.hpp"
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#include "platform/threadtrace.hpp"
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#include "platform/kernel.hpp"
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#include "platform/commandqueue.hpp"
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#include "device/gpu/gpuconstbuf.hpp"
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#include "device/gpu/gpuvirtual.hpp"
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#include "device/gpu/gpukernel.hpp"
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#include "device/gpu/gpuprogram.hpp"
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#include "device/gpu/gpucounters.hpp"
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#include "device/gpu/gputhreadtrace.hpp"
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#include "device/gpu/gputimestamp.hpp"
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#include "device/gpu/gpublit.hpp"
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#include "newcore.h"
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#include "sc-hsa/Interface/SCHSAInterface.h"
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#include <fstream>
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#include <sstream>
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#ifdef _WIN32
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#include <d3d10_1.h>
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#include "amdocl/cl_d3d9_amd.hpp"
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#include "amdocl/cl_d3d10_amd.hpp"
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#include "amdocl/cl_d3d11_amd.hpp"
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#endif // _WIN32
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namespace gpu {
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bool
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VirtualGPU::MemoryDependency::create(size_t numMemObj)
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{
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if (numMemObj > 0) {
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// Allocate the array of memory objects for dependency tracking
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memObjectsInQueue_ = new MemoryState[numMemObj];
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if (NULL == memObjectsInQueue_) {
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return false;
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}
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memset(memObjectsInQueue_, 0, sizeof(MemoryState) * numMemObj);
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maxMemObjectsInQueue_ = numMemObj;
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}
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return true;
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}
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void
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VirtualGPU::MemoryDependency::validate(
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VirtualGPU& gpu,
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const Memory* memory,
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bool readOnly)
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{
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bool flushL1Cache = false;
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if (maxMemObjectsInQueue_ == 0) {
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return;
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}
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uint64_t curStart = memory->hbOffset();
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uint64_t curEnd = curStart + memory->hbSize();
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// Loop through all memory objects in the queue and find dependency
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// @note don't include objects from the current kernel
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for (size_t j = 0; j < endMemObjectsInQueue_; ++j) {
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// Check if the queue already contains this mem object and
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// GPU operations aren't readonly
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uint64_t busyStart = memObjectsInQueue_[j].start_;
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uint64_t busyEnd = memObjectsInQueue_[j].end_;
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// Check if the start inside the busy region
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if ((((curStart >= busyStart) && (curStart < busyEnd)) ||
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// Check if the end inside the busy region
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((curEnd > busyStart) && (curEnd <= busyEnd)) ||
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// Check if the start/end cover the busy region
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((curStart <= busyStart) && (curEnd >= busyEnd))) &&
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// If the buys region was written or the current one is for write
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(!memObjectsInQueue_[j].readOnly_ || !readOnly)) {
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flushL1Cache = true;
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break;
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}
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}
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// Did we reach the limit?
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if (maxMemObjectsInQueue_ <= (numMemObjectsInQueue_ + 1)) {
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flushL1Cache = true;
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}
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if (flushL1Cache) {
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// Flush cache
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gpu.flushCUCaches();
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// Clear memory dependency state
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const static bool All = true;
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clear(!All);
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}
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// Insert current memory object into the queue always,
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// since runtime calls flush before kernel execution and it has to keep
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// current kernel in tracking
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memObjectsInQueue_
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[numMemObjectsInQueue_].start_ = curStart;
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memObjectsInQueue_
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[numMemObjectsInQueue_].end_ = curEnd;
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memObjectsInQueue_
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[numMemObjectsInQueue_].readOnly_ = readOnly;
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numMemObjectsInQueue_++;
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}
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void
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VirtualGPU::MemoryDependency::clear(bool all)
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{
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if (numMemObjectsInQueue_ > 0) {
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size_t i, j;
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if (all) {
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endMemObjectsInQueue_ = numMemObjectsInQueue_;
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}
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// Preserve all objects from the current kernel
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for (i = 0, j = endMemObjectsInQueue_; j < numMemObjectsInQueue_; i++, j++) {
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memObjectsInQueue_[i].start_ = memObjectsInQueue_[j].start_;
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memObjectsInQueue_[i].end_ = memObjectsInQueue_[j].end_;
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memObjectsInQueue_[i].readOnly_ = memObjectsInQueue_[j].readOnly_;
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}
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// Clear all objects except current kernel
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memset(&memObjectsInQueue_[i], 0, sizeof(amd::Memory*) * numMemObjectsInQueue_);
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numMemObjectsInQueue_ -= endMemObjectsInQueue_;
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endMemObjectsInQueue_ = 0;
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}
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}
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VirtualGPU::DmaFlushMgmt::DmaFlushMgmt(const Device& dev)
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: cbWorkload_(0)
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, dispatchSplitSize_(0)
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{
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aluCnt_ = dev.info().simdPerCU_ * dev.info().simdWidth_ * dev.info().maxComputeUnits_;
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maxDispatchWorkload_ = static_cast<uint64_t>(dev.info().maxClockFrequency_) *
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// find time in us
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100 * dev.settings().maxWorkloadTime_ *
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aluCnt_;
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resetCbWorkload(dev);
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}
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void
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VirtualGPU::DmaFlushMgmt::resetCbWorkload(const Device& dev)
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{
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cbWorkload_ = 0;
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maxCbWorkload_ = static_cast<uint64_t>(dev.info().maxClockFrequency_) *
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// find time in us
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100 * dev.settings().minWorkloadTime_ * aluCnt_;
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}
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void
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VirtualGPU::DmaFlushMgmt::findSplitSize(
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const Device& dev, uint64_t threads, uint instructions)
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{
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uint64_t workload = threads * instructions;
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if (maxDispatchWorkload_ < workload) {
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dispatchSplitSize_ = static_cast<uint>(maxDispatchWorkload_ / instructions);
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uint fullLoad = dev.info().maxComputeUnits_ * dev.info().maxWorkGroupSize_;
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if ((dispatchSplitSize_ % fullLoad) != 0) {
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dispatchSplitSize_ = (dispatchSplitSize_ / fullLoad + 1) * fullLoad;
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}
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}
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else {
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dispatchSplitSize_ = (threads > dev.settings().workloadSplitSize_) ?
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dev.settings().workloadSplitSize_ : 0;
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}
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}
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bool
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VirtualGPU::DmaFlushMgmt::isCbReady(
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VirtualGPU& gpu, uint64_t threads, uint instructions)
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{
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bool cbReady = false;
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uint64_t workload = amd::alignUp(threads, 4 * aluCnt_) * instructions;
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// Add current workload to the overall workload in the current DMA
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cbWorkload_ += workload;
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// Did it exceed maximum?
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if (cbWorkload_ > maxCbWorkload_) {
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// Reset DMA workload
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cbWorkload_ = 0;
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// Increase workload of the next DMA buffer by 50%
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maxCbWorkload_ = maxCbWorkload_ * 3 / 2;
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if (maxCbWorkload_ > maxDispatchWorkload_) {
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maxCbWorkload_ = maxDispatchWorkload_;
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}
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cbReady = true;
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}
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return cbReady;
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}
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bool
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VirtualGPU::gslOpen(uint nEngines, gslEngineDescriptor *engines)
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{
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// GSL device initialization
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dev().PerformFullInitialization();
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// Wait the event
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m_waitType = dev().settings().syncObject_
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? CAL_WAIT_LOW_CPU_UTILIZATION
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: CAL_WAIT_POLLING;
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if (!open(&dev(), nEngines, engines)) {
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return false;
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}
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return true;
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}
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void
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VirtualGPU::gslDestroy()
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{
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closeVideoSession();
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close(dev().getNative());
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}
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void
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VirtualGPU::addXferWrite(Resource& resource)
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{
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if (xferWriteBuffers_.size() > 7) {
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dev().xferWrite().release(*this, *xferWriteBuffers_.front());
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xferWriteBuffers_.pop_front();
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}
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// Delay destruction
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xferWriteBuffers_.push_back(&resource);
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}
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void
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VirtualGPU::releaseXferWrite()
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{
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for (std::list<Resource*>::iterator it = xferWriteBuffers_.begin();
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it != xferWriteBuffers_.end(); ++it) {
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dev().xferWrite().release(*this, *(*it));
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}
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xferWriteBuffers_.clear();
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}
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void
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VirtualGPU::addPinnedMem(amd::Memory* mem)
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{
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if (pinnedMems_.size() > 7) {
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pinnedMems_.front()->release();
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pinnedMems_.pop_front();
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}
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// Start operation, since we should release mem object
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flushDMA(getGpuEvent(dev().getGpuMemory(mem))->engineId_);
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// Delay destruction
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pinnedMems_.push_back(mem);
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}
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void
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VirtualGPU::releasePinnedMem()
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{
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for (std::list<amd::Memory*>::iterator it = pinnedMems_.begin();
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it != pinnedMems_.end(); ++it) {
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(*it)->release();
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}
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pinnedMems_.clear();
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}
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bool
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VirtualGPU::createVirtualQueue(uint deviceQueueSize)
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{
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if (deviceQueueSize_ == deviceQueueSize) {
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return true;
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}
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else {
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//! @todo Temporarily keep the buffer mapped for debug purpose
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if (NULL != schedParams_) {
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schedParams_->unmap(this);
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}
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delete vqHeader_;
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delete virtualQueue_;
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delete schedParams_;
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vqHeader_ = NULL;
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virtualQueue_ = NULL;
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schedParams_ = NULL;
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schedParamIdx_ = 0;
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deviceQueueSize_ = 0;
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}
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uint numSlots = deviceQueueSize / sizeof(AmdAqlWrap);
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uint allocSize = deviceQueueSize;
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// Add the virtual queue header
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allocSize += sizeof(AmdVQueueHeader);
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allocSize = amd::alignUp(allocSize, 128);
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uint argOffs = allocSize;
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// Add the kernel arguments and wait events
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uint singleArgSize = amd::alignUp(dev().info().maxParameterSize_ + 64 +
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dev().settings().numWaitEvents_ * sizeof(uint64_t), 128);
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allocSize += singleArgSize * numSlots;
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uint eventsOffs = allocSize;
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// Add the device events
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allocSize += dev().settings().numDeviceEvents_ * sizeof(AmdEvent);
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uint eventMaskOffs = allocSize;
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// Add mask array for events
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allocSize += amd::alignUp(dev().settings().numDeviceEvents_, 32) / 8;
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uint slotMaskOffs = allocSize;
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// Add mask array for AmdAqlWrap slots
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allocSize += amd::alignUp(numSlots, 32) / 8;
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virtualQueue_ = new Memory(dev(), allocSize);
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Resource::MemoryType type = (GPU_PRINT_CHILD_KERNEL == 0) ?
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Resource::Local : Resource::Remote;
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if ((virtualQueue_ == NULL) || !virtualQueue_->create(type)) {
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return false;
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}
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address ptr = reinterpret_cast<address>(
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virtualQueue_->map(this, Resource::WriteOnly));
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if (NULL == ptr) {
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return false;
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}
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// Clear memory
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memset(ptr, 0, allocSize);
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uint64_t vaBase = virtualQueue_->vmAddress();
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AmdVQueueHeader* header = reinterpret_cast<AmdVQueueHeader*>(ptr);
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// Initialize the virtual queue header
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header->aql_slot_num = numSlots;
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header->event_slot_num = dev().settings().numDeviceEvents_;
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header->event_slot_mask = vaBase + eventMaskOffs;
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header->event_slots = vaBase + eventsOffs;
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header->aql_slot_mask = vaBase + slotMaskOffs;
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header->wait_size = dev().settings().numWaitEvents_;
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header->arg_size = dev().info().maxParameterSize_ + 64;
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vqHeader_ = new AmdVQueueHeader;
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if (NULL == vqHeader_) {
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return false;
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}
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*vqHeader_ = *header;
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// Go over all slots and perform initialization
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AmdAqlWrap* slots = reinterpret_cast<AmdAqlWrap*>(&header[1]);
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for (uint i = 0; i < numSlots; ++i) {
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uint64_t argStart = vaBase + argOffs + i * singleArgSize;
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slots[i].aql.kernel_arg_address = argStart;
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slots[i].wait_list = argStart + dev().info().maxParameterSize_ + 64;
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}
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// Upload data back to local memory
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if (GPU_PRINT_CHILD_KERNEL == 0) {
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virtualQueue_->unmap(this);
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}
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schedParams_ = new Memory(dev(), 64 * Ki);
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if ((schedParams_ == NULL) || !schedParams_->create(Resource::RemoteUSWC)) {
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return false;
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}
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ptr = reinterpret_cast<address>(schedParams_->map(this));
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deviceQueueSize_ = deviceQueueSize;
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return true;
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}
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VirtualGPU::VirtualGPU(
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Device& device)
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: device::VirtualDevice(device)
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, CALGSLContext()
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, engineID_(MainEngine)
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, activeKernelDesc_(NULL)
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, gpuDevice_(static_cast<Device&>(device))
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, execution_("Virtual GPU execution lock", true)
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, printfDbg_(NULL)
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, printfDbgHSA_(NULL)
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, tsCache_(NULL)
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, vmMems_(NULL)
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, numVmMems_(0)
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, dmaFlushMgmt_(device)
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, numGrpCb_(NULL)
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, scratchRegNum_(0)
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, hwRing_(0)
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, readjustTimeGPU_(0)
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, currTs_(NULL)
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, vqHeader_(NULL)
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, virtualQueue_(NULL)
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, schedParams_(NULL)
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, schedParamIdx_(0)
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, deviceQueueSize_(0)
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, hsaQueueMem_(NULL)
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{
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memset(&cal_, 0, sizeof(CalVirtualDesc));
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for (uint i = 0; i < AllEngines; ++i) {
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cal_.events_[i].invalidate();
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}
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memset(&cal_.samplersState_, 0xff, sizeof(cal_.samplersState_));
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// Note: Virtual GPU device creation must be a thread safe operation
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index_ = gpuDevice_.numOfVgpus_++;
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gpuDevice_.vgpus_.resize(gpuDevice_.numOfVgpus());
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gpuDevice_.vgpus_[index()] = this;
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}
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bool
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VirtualGPU::create(
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bool profiling
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#if cl_amd_open_video
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, void* calVideoProperties
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#endif // cl_amd_open_video
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, uint deviceQueueSize
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)
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{
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device::BlitManager::Setup blitSetup;
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gslEngineDescriptor engines[2];
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uint engineMask = 0;
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uint32_t num = 0;
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if (index() >= GPU_MAX_COMMAND_QUEUES) {
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// Cap the maximum number of concurrent Virtual GPUs.
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return false;
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}
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// Virtual GPU will have profiling enabled
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state_.profiling_ = profiling;
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#if cl_amd_open_video
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if(calVideoProperties) {
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cl_video_encode_desc_amd* ptr_ovSessionProperties =
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reinterpret_cast<cl_video_encode_desc_amd *>(calVideoProperties);
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CALvideoProperties* ptr_calVideoProperties =
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reinterpret_cast<CALvideoProperties *>(ptr_ovSessionProperties->calVideoProperties);
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switch (ptr_calVideoProperties->VideoEngine_name) {
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case CAL_CONTEXT_VIDEO:
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engineMask = dev().engines().getMask(GSL_ENGINEID_UVD);
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num = dev().engines().getRequested(engineMask, engines);
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// Open GSL context
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if ((num == 0) || !gslOpen(num, engines)) {
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return false;
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}
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openVideoSession(*ptr_calVideoProperties);
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break;
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case CAL_CONTEXT_VIDEO_VCE:
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engineMask = dev().engines().getMask(GSL_ENGINEID_VCE);
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num = dev().engines().getRequested(engineMask, engines);
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// Open GSL context
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if ((num == 0) || !gslOpen(num, engines)) {
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return false;
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}
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break;
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default:
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assert(false && "Unknown video engine!");
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break;
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}
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if (ptr_calVideoProperties->VideoEngine_name == CAL_CONTEXT_VIDEO_VCE) {
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CALEncodeCreateVCE encodeVCE;
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createVCE(&encodeVCE, 0);
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CAL_VID_PROFILE_LEVEL encode_profile_level;
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encode_profile_level.profile = ptr_ovSessionProperties->attrib.profile;
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encode_profile_level.level = ptr_ovSessionProperties->attrib.level;
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createEncodeSession(
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0,
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(CALencodeMode)ptr_ovSessionProperties->encodeMode,//CAL_VID_encode_AVC_FULL
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encode_profile_level,
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(CAL_VID_PICTURE_FORMAT)ptr_ovSessionProperties->attrib.format, //CAL_VID_PICTURE_NV12
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ptr_ovSessionProperties->image_width,
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ptr_ovSessionProperties->image_height,
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ptr_ovSessionProperties->frameRateNumerator,
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ptr_ovSessionProperties->frameRateDenominator,
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(CAL_VID_ENCODE_JOB_PRIORITY)ptr_ovSessionProperties->priority); //CAL_VID_ENCODE_JOB_PRIORITY_LEVEL1
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}
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}
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else
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#endif // !cl_amd_open_video
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{
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if (dev().engines().numComputeRings()) {
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uint idx = index() % dev().engines().numComputeRings();
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// hwRing_ should be set 0 if forced to have single scratch buffer
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hwRing_ = (dev().settings().useSingleScratch_) ? 0 : idx;
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engineMask = dev().engines().getMask((gslEngineID)(GSL_ENGINEID_COMPUTE0 + idx));
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if (dev().canDMA()) {
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if (idx & 0x1) {
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engineMask |= dev().engines().getMask(GSL_ENGINEID_DRMDMA1);
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}
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else {
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engineMask |= dev().engines().getMask(GSL_ENGINEID_DRMDMA0);
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}
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}
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}
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else {
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engineMask = dev().engines().getMask(GSL_ENGINEID_3DCOMPUTE0);
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if (dev().canDMA()) {
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engineMask |= dev().engines().getMask(GSL_ENGINEID_DRMDMA0);
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}
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}
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num = dev().engines().getRequested(engineMask, engines);
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// Open GSL context
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if ((num == 0) || !gslOpen(num, engines)) {
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return false;
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}
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}
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// Diable double copy optimization,
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// since UAV read from nonlocal is fast enough
|
|
blitSetup.disableCopyBufferToImageOpt_ = true;
|
|
if (!allocConstantBuffers()) {
|
|
return false;
|
|
}
|
|
|
|
// Create Printf class
|
|
printfDbg_ = new PrintfDbg(gpuDevice_);
|
|
if ((NULL == printfDbg_) || !printfDbg_->create()) {
|
|
delete printfDbg_;
|
|
LogError("Could not allocate debug buffer for printf()!");
|
|
return false;
|
|
}
|
|
|
|
// Create HSAILPrintf class
|
|
printfDbgHSA_ = new PrintfDbgHSA(gpuDevice_);
|
|
if (NULL == printfDbgHSA_) {
|
|
delete printfDbgHSA_;
|
|
LogError("Could not create PrintfDbgHSA class!");
|
|
return false;
|
|
}
|
|
|
|
// Choose the appropriate class for blit engine
|
|
switch (dev().settings().blitEngine_) {
|
|
default:
|
|
// Fall through ...
|
|
case Settings::BlitEngineHost:
|
|
blitSetup.disableAll();
|
|
// Fall through ...
|
|
case Settings::BlitEngineCAL:
|
|
case Settings::BlitEngineKernel:
|
|
if (!dev().heap()->isVirtual()) {
|
|
blitSetup.disableReadBufferRect_ = true;
|
|
blitSetup.disableWriteBufferRect_ = true;
|
|
}
|
|
blitMgr_ = new KernelBlitManager(*this, blitSetup);
|
|
break;
|
|
}
|
|
if ((NULL == blitMgr_) || !blitMgr_->create(gpuDevice_)) {
|
|
LogError("Could not create BlitManager!");
|
|
return false;
|
|
}
|
|
|
|
tsCache_ = new TimeStampCache(*this);
|
|
if (NULL == tsCache_) {
|
|
LogError("Could not create TimeStamp cache!");
|
|
return false;
|
|
}
|
|
|
|
if (!memoryDependency().create(dev().settings().numMemDependencies_)) {
|
|
LogError("Could not create the array of memory objects!");
|
|
return false;
|
|
}
|
|
|
|
if(!allocHsaQueueMem()) {
|
|
LogError("Could not create hsaQueueMem object!");
|
|
return false;
|
|
}
|
|
|
|
// Check if the app requested a device queue creation
|
|
if (dev().settings().useDeviceQueue_ &&
|
|
(0 != deviceQueueSize) && !createVirtualQueue(deviceQueueSize)) {
|
|
LogError("Could not create a virtual queue!");
|
|
return false;
|
|
}
|
|
|
|
|
|
return true;
|
|
}
|
|
|
|
bool
|
|
VirtualGPU::allocHsaQueueMem()
|
|
{
|
|
amd_queue_t queue = {0};
|
|
hsaQueueMem_ = new gpu::Memory(dev(), sizeof(queue));
|
|
if (hsaQueueMem_ == NULL) {
|
|
return false;
|
|
}
|
|
if (!hsaQueueMem_->create(gpu::Resource::Local)) {
|
|
delete hsaQueueMem_;
|
|
return false;
|
|
}
|
|
void* cpuPtr = hsaQueueMem_->map(NULL, gpu::Resource::WriteOnly);
|
|
queue.private_segment_aperture_base_hi =
|
|
static_cast<uint32>(dev().gslCtx()->getPrivateApertureBase()>>32);
|
|
queue.group_segment_aperture_base_hi =
|
|
static_cast<uint32>(dev().gslCtx()->getSharedApertureBase()>>32);
|
|
memcpy(cpuPtr, &queue, sizeof(queue));
|
|
hsaQueueMem_->unmap(NULL);
|
|
return true;
|
|
}
|
|
|
|
VirtualGPU::~VirtualGPU()
|
|
{
|
|
// Not safe to remove a queue. So lock the device
|
|
amd::ScopedLock k(dev().lockAsyncOps());
|
|
amd::ScopedLock lock(dev().vgpusAccess());
|
|
|
|
uint i;
|
|
// Destroy all kernels
|
|
for (GslKernels::const_iterator it = gslKernels_.begin();
|
|
it != gslKernels_.end(); ++it) {
|
|
if (it->first != 0) {
|
|
freeKernelDesc(it->second);
|
|
}
|
|
}
|
|
gslKernels_.clear();
|
|
|
|
// Destroy all memories
|
|
releaseMemObjects();
|
|
|
|
// Destroy printf object
|
|
delete printfDbg_;
|
|
|
|
// Destroy printfHSA object
|
|
delete printfDbgHSA_;
|
|
|
|
// Destroy BlitManager object
|
|
delete blitMgr_;
|
|
|
|
// Destroy TimeStamp cache
|
|
delete tsCache_;
|
|
|
|
// Destroy resource list with the constant buffers
|
|
for (i = 0; i < constBufs_.size(); ++i) {
|
|
delete constBufs_[i];
|
|
}
|
|
delete numGrpCb_;
|
|
|
|
gslDestroy();
|
|
|
|
gpuDevice_.numOfVgpus_--;
|
|
gpuDevice_.vgpus_.erase(gpuDevice_.vgpus_.begin() + index());
|
|
for (uint idx = index(); idx < dev().vgpus().size(); ++idx) {
|
|
dev().vgpus()[idx]->index_--;
|
|
}
|
|
|
|
// Release scratch buffer memory to reduce memory pressure
|
|
//!@note OCLtst uses single device with multiple tests
|
|
//! Release memory only if it's the last command queue.
|
|
//! The first queue is reserved for the transfers on device
|
|
if ((scratchRegNum_ > 0) && (gpuDevice_.numOfVgpus_ <= 1)) {
|
|
gpuDevice_.destroyScratchBuffers();
|
|
}
|
|
|
|
delete [] vmMems_;
|
|
//! @todo Temporarily keep the buffer mapped for debug purpose
|
|
if (NULL != schedParams_) {
|
|
schedParams_->unmap(this);
|
|
}
|
|
delete vqHeader_;
|
|
delete virtualQueue_;
|
|
delete schedParams_;
|
|
delete hsaQueueMem_;
|
|
}
|
|
|
|
void
|
|
VirtualGPU::submitReadMemory(amd::ReadMemoryCommand& vcmd)
|
|
{
|
|
// Make sure VirtualGPU has an exclusive access to the resources
|
|
amd::ScopedLock lock(execution());
|
|
|
|
// Translate memory references and ensure cache up-to-date
|
|
gpu::Memory* memory = dev().getGpuMemory(&vcmd.source());
|
|
|
|
size_t offset = 0;
|
|
// Find if virtual address is a CL allocation
|
|
gpu::Memory* hostMemory = dev().findMemoryFromVA(vcmd.destination(), &offset);
|
|
|
|
profilingBegin(vcmd, true);
|
|
|
|
memory->syncCacheFromHost(*this);
|
|
cl_command_type type = vcmd.type();
|
|
bool result = false;
|
|
amd::Memory* bufferFromImage = NULL;
|
|
|
|
// Force buffer read for IMAGE1D_BUFFER
|
|
if ((type == CL_COMMAND_READ_IMAGE) &&
|
|
(vcmd.source().getType() == CL_MEM_OBJECT_IMAGE1D_BUFFER)) {
|
|
bufferFromImage = createBufferFromImage(vcmd.source());
|
|
if (NULL == bufferFromImage) {
|
|
LogError("We should not fail buffer creation from image_buffer!");
|
|
}
|
|
else {
|
|
type = CL_COMMAND_READ_BUFFER;
|
|
bufferFromImage->setVirtualDevice(this);
|
|
memory = dev().getGpuMemory(bufferFromImage);
|
|
}
|
|
}
|
|
|
|
// Process different write commands
|
|
switch (type) {
|
|
case CL_COMMAND_READ_BUFFER: {
|
|
amd::Coord3D origin(vcmd.origin()[0]);
|
|
amd::Coord3D size(vcmd.size()[0]);
|
|
if (NULL != bufferFromImage) {
|
|
size_t elemSize =
|
|
vcmd.source().asImage()->getImageFormat().getElementSize();
|
|
origin.c[0] *= elemSize;
|
|
size.c[0] *= elemSize;
|
|
}
|
|
if (hostMemory != NULL) {
|
|
// Accelerated transfer without pinning
|
|
amd::Coord3D dstOrigin(offset);
|
|
result = blitMgr().copyBuffer(*memory, *hostMemory,
|
|
origin, dstOrigin, size, vcmd.isEntireMemory());
|
|
}
|
|
else {
|
|
result = blitMgr().readBuffer(
|
|
*memory, vcmd.destination(),
|
|
origin, size, vcmd.isEntireMemory());
|
|
}
|
|
if (NULL != bufferFromImage) {
|
|
bufferFromImage->release();
|
|
}
|
|
}
|
|
break;
|
|
case CL_COMMAND_READ_BUFFER_RECT: {
|
|
amd::BufferRect hostbufferRect;
|
|
amd::Coord3D region(0);
|
|
amd::Coord3D hostOrigin(vcmd.hostRect().start_+ offset);
|
|
hostbufferRect.create(hostOrigin.c, vcmd.size().c , vcmd.hostRect().rowPitch_, vcmd.hostRect().slicePitch_);
|
|
if (hostMemory != NULL) {
|
|
result = blitMgr().copyBufferRect(*memory, *hostMemory,
|
|
vcmd.bufRect(), hostbufferRect, vcmd.size(),
|
|
vcmd.isEntireMemory());
|
|
}
|
|
else {
|
|
result = blitMgr().readBufferRect(*memory,
|
|
vcmd.destination(), vcmd.bufRect(), vcmd.hostRect(), vcmd.size(),
|
|
vcmd.isEntireMemory());
|
|
}
|
|
}
|
|
break;
|
|
case CL_COMMAND_READ_IMAGE:
|
|
if (hostMemory != NULL) {
|
|
// Accelerated image to buffer transfer without pinning
|
|
amd::Coord3D dstOrigin(offset);
|
|
result = blitMgr().copyImageToBuffer(*memory, *hostMemory,
|
|
vcmd.origin(), dstOrigin, vcmd.size(),
|
|
vcmd.isEntireMemory());
|
|
}
|
|
else {
|
|
result = blitMgr().readImage(*memory, vcmd.destination(),
|
|
vcmd.origin(), vcmd.size(), vcmd.rowPitch(), vcmd.slicePitch(),
|
|
vcmd.isEntireMemory());
|
|
}
|
|
break;
|
|
default:
|
|
LogError("Unsupported type for the read command");
|
|
break;
|
|
}
|
|
|
|
if (!result) {
|
|
LogError("submitReadMemory failed!");
|
|
vcmd.setStatus(CL_INVALID_OPERATION);
|
|
}
|
|
|
|
profilingEnd(vcmd);
|
|
}
|
|
|
|
void
|
|
VirtualGPU::submitWriteMemory(amd::WriteMemoryCommand& vcmd)
|
|
{
|
|
// Make sure VirtualGPU has an exclusive access to the resources
|
|
amd::ScopedLock lock(execution());
|
|
|
|
// Translate memory references and ensure cache up to date
|
|
gpu::Memory* memory = dev().getGpuMemory(&vcmd.destination());
|
|
size_t offset = 0;
|
|
// Find if virtual address is a CL allocation
|
|
gpu::Memory* hostMemory = dev().findMemoryFromVA(vcmd.source(), &offset);
|
|
|
|
profilingBegin(vcmd, true);
|
|
|
|
bool entire = vcmd.isEntireMemory();
|
|
|
|
// Synchronize memory from host if necessary
|
|
device::Memory::SyncFlags syncFlags;
|
|
syncFlags.skipEntire_ = entire;
|
|
memory->syncCacheFromHost(*this, syncFlags);
|
|
|
|
cl_command_type type = vcmd.type();
|
|
bool result = false;
|
|
amd::Memory* bufferFromImage = NULL;
|
|
|
|
// Force buffer write for IMAGE1D_BUFFER
|
|
if ((type == CL_COMMAND_WRITE_IMAGE) &&
|
|
(vcmd.destination().getType() == CL_MEM_OBJECT_IMAGE1D_BUFFER)) {
|
|
bufferFromImage = createBufferFromImage(vcmd.destination());
|
|
if (NULL == bufferFromImage) {
|
|
LogError("We should not fail buffer creation from image_buffer!");
|
|
}
|
|
else {
|
|
type = CL_COMMAND_WRITE_BUFFER;
|
|
bufferFromImage->setVirtualDevice(this);
|
|
memory = dev().getGpuMemory(bufferFromImage);
|
|
}
|
|
}
|
|
|
|
// Process different write commands
|
|
switch (type) {
|
|
case CL_COMMAND_WRITE_BUFFER: {
|
|
amd::Coord3D origin(vcmd.origin()[0]);
|
|
amd::Coord3D size(vcmd.size()[0]);
|
|
if (NULL != bufferFromImage) {
|
|
size_t elemSize =
|
|
vcmd.destination().asImage()->getImageFormat().getElementSize();
|
|
origin.c[0] *= elemSize;
|
|
size.c[0] *= elemSize;
|
|
}
|
|
if (hostMemory != NULL) {
|
|
// Accelerated transfer without pinning
|
|
amd::Coord3D srcOrigin(offset);
|
|
result = blitMgr().copyBuffer(*hostMemory, *memory,
|
|
srcOrigin, origin, size, vcmd.isEntireMemory());
|
|
}
|
|
else {
|
|
result = blitMgr().writeBuffer(vcmd.source(), *memory,
|
|
origin, size, vcmd.isEntireMemory());
|
|
}
|
|
if (NULL != bufferFromImage) {
|
|
bufferFromImage->release();
|
|
}
|
|
}
|
|
break;
|
|
case CL_COMMAND_WRITE_BUFFER_RECT: {
|
|
amd::BufferRect hostbufferRect;
|
|
amd::Coord3D region(0);
|
|
amd::Coord3D hostOrigin(vcmd.hostRect().start_+ offset);
|
|
hostbufferRect.create(hostOrigin.c, vcmd.size().c , vcmd.hostRect().rowPitch_, vcmd.hostRect().slicePitch_);
|
|
if ((hostMemory != NULL) && (offset == 0)) {
|
|
result = blitMgr().copyBufferRect(*hostMemory, *memory,
|
|
hostbufferRect, vcmd.bufRect(), vcmd.size(),
|
|
vcmd.isEntireMemory());
|
|
}
|
|
else {
|
|
result = blitMgr().writeBufferRect(vcmd.source(), *memory,
|
|
vcmd.hostRect(), vcmd.bufRect(), vcmd.size(),
|
|
vcmd.isEntireMemory());
|
|
}
|
|
}
|
|
break;
|
|
case CL_COMMAND_WRITE_IMAGE:
|
|
if (hostMemory != NULL) {
|
|
// Accelerated buffer to image transfer without pinning
|
|
amd::Coord3D srcOrigin(offset);
|
|
result = blitMgr().copyBufferToImage(*hostMemory, *memory,
|
|
srcOrigin, vcmd.origin(), vcmd.size(),
|
|
vcmd.isEntireMemory());
|
|
}
|
|
else {
|
|
result = blitMgr().writeImage(vcmd.source(), *memory,
|
|
vcmd.origin(), vcmd.size(), vcmd.rowPitch(), vcmd.slicePitch(),
|
|
vcmd.isEntireMemory());
|
|
}
|
|
break;
|
|
default:
|
|
LogError("Unsupported type for the write command");
|
|
break;
|
|
}
|
|
|
|
if (!result) {
|
|
LogError("submitWriteMemory failed!");
|
|
vcmd.setStatus(CL_INVALID_OPERATION);
|
|
}
|
|
else {
|
|
// Mark this as the most-recently written cache of the destination
|
|
vcmd.destination().signalWrite(&gpuDevice_);
|
|
}
|
|
profilingEnd(vcmd);
|
|
}
|
|
|
|
bool
|
|
VirtualGPU::copyMemory(cl_command_type type
|
|
, amd::Memory& srcMem
|
|
, amd::Memory& dstMem
|
|
, bool entire
|
|
, const amd::Coord3D& srcOrigin
|
|
, const amd::Coord3D& dstOrigin
|
|
, const amd::Coord3D& size
|
|
, const amd::BufferRect& srcRect
|
|
, const amd::BufferRect& dstRect
|
|
)
|
|
{
|
|
// Translate memory references and ensure cache up-to-date
|
|
gpu::Memory* dstMemory = dev().getGpuMemory(&dstMem);
|
|
gpu::Memory* srcMemory = dev().getGpuMemory(&srcMem);
|
|
|
|
// Synchronize source and destination memory
|
|
device::Memory::SyncFlags syncFlags;
|
|
syncFlags.skipEntire_ = entire;
|
|
dstMemory->syncCacheFromHost(*this, syncFlags);
|
|
srcMemory->syncCacheFromHost(*this);
|
|
|
|
amd::Memory* bufferFromImageSrc = NULL;
|
|
amd::Memory* bufferFromImageDst = NULL;
|
|
|
|
// Force buffer read for IMAGE1D_BUFFER
|
|
if ((srcMem.getType() == CL_MEM_OBJECT_IMAGE1D_BUFFER)) {
|
|
bufferFromImageSrc = createBufferFromImage(srcMem);
|
|
if (NULL == bufferFromImageSrc) {
|
|
LogError("We should not fail buffer creation from image_buffer!");
|
|
}
|
|
else {
|
|
type = CL_COMMAND_COPY_BUFFER;
|
|
bufferFromImageSrc->setVirtualDevice(this);
|
|
srcMemory = dev().getGpuMemory(bufferFromImageSrc);
|
|
}
|
|
}
|
|
// Force buffer write for IMAGE1D_BUFFER
|
|
if ((dstMem.getType() == CL_MEM_OBJECT_IMAGE1D_BUFFER)) {
|
|
bufferFromImageDst = createBufferFromImage(dstMem);
|
|
if (NULL == bufferFromImageDst) {
|
|
LogError("We should not fail buffer creation from image_buffer!");
|
|
}
|
|
else {
|
|
type = CL_COMMAND_COPY_BUFFER;
|
|
bufferFromImageDst->setVirtualDevice(this);
|
|
dstMemory = dev().getGpuMemory(bufferFromImageDst);
|
|
}
|
|
}
|
|
|
|
bool result = false;
|
|
|
|
// Check if HW can be used for memory copy
|
|
switch (type) {
|
|
case CL_COMMAND_SVM_MEMCPY:
|
|
case CL_COMMAND_COPY_BUFFER: {
|
|
amd::Coord3D realSrcOrigin(srcOrigin[0]);
|
|
amd::Coord3D realDstOrigin(dstOrigin[0]);
|
|
amd::Coord3D realSize(size.c[0],size.c[1],size.c[2]);
|
|
|
|
if (NULL != bufferFromImageSrc) {
|
|
size_t elemSize =
|
|
srcMem.asImage()->getImageFormat().getElementSize();
|
|
realSrcOrigin.c[0] *= elemSize;
|
|
if (NULL != bufferFromImageDst) {
|
|
realDstOrigin.c[0] *= elemSize;
|
|
}
|
|
realSize.c[0] *= elemSize;
|
|
}
|
|
else if (NULL != bufferFromImageDst) {
|
|
size_t elemSize =
|
|
dstMem.asImage()->getImageFormat().getElementSize();
|
|
realDstOrigin.c[0] *= elemSize;
|
|
realSize.c[0] *= elemSize;
|
|
}
|
|
|
|
result = blitMgr().copyBuffer(*srcMemory, *dstMemory,
|
|
realSrcOrigin, realDstOrigin, realSize, entire);
|
|
|
|
if (NULL != bufferFromImageSrc) {
|
|
bufferFromImageSrc->release();
|
|
}
|
|
if (NULL != bufferFromImageDst) {
|
|
bufferFromImageDst->release();
|
|
}
|
|
}
|
|
break;
|
|
case CL_COMMAND_COPY_BUFFER_RECT:
|
|
result = blitMgr().copyBufferRect(*srcMemory, *dstMemory,
|
|
srcRect, dstRect, size, entire);
|
|
break;
|
|
case CL_COMMAND_COPY_IMAGE_TO_BUFFER:
|
|
result = blitMgr().copyImageToBuffer(*srcMemory, *dstMemory,
|
|
srcOrigin, dstOrigin, size, entire);
|
|
break;
|
|
case CL_COMMAND_COPY_BUFFER_TO_IMAGE:
|
|
result = blitMgr().copyBufferToImage(*srcMemory, *dstMemory,
|
|
srcOrigin, dstOrigin, size, entire);
|
|
break;
|
|
case CL_COMMAND_COPY_IMAGE:
|
|
result = blitMgr().copyImage(*srcMemory, *dstMemory,
|
|
srcOrigin, dstOrigin, size, entire);
|
|
break;
|
|
default:
|
|
LogError("Unsupported command type for memory copy!");
|
|
break;
|
|
}
|
|
|
|
if (!result) {
|
|
LogError("submitCopyMemory failed!");
|
|
return false;
|
|
}
|
|
else {
|
|
// Mark this as the most-recently written cache of the destination
|
|
dstMem.signalWrite(&gpuDevice_);
|
|
}
|
|
return true;
|
|
}
|
|
|
|
void
|
|
VirtualGPU::submitCopyMemory(amd::CopyMemoryCommand& vcmd)
|
|
{
|
|
// Make sure VirtualGPU has an exclusive access to the resources
|
|
amd::ScopedLock lock(execution());
|
|
|
|
profilingBegin(vcmd);
|
|
|
|
cl_command_type type = vcmd.type();
|
|
bool entire = vcmd.isEntireMemory();
|
|
|
|
if (!copyMemory(type, vcmd.source(), vcmd.destination(), entire,
|
|
vcmd.srcOrigin(), vcmd.dstOrigin(), vcmd.size(), vcmd.srcRect(),
|
|
vcmd.dstRect())) {
|
|
vcmd.setStatus(CL_INVALID_OPERATION);
|
|
}
|
|
|
|
profilingEnd(vcmd);
|
|
}
|
|
|
|
void
|
|
VirtualGPU::submitSvmCopyMemory(amd::SvmCopyMemoryCommand& vcmd)
|
|
{
|
|
// Make sure VirtualGPU has an exclusive access to the resources
|
|
amd::ScopedLock lock(execution());
|
|
profilingBegin(vcmd);
|
|
|
|
cl_command_type type = vcmd.type();
|
|
amd::Memory* srcMem = amd::SvmManager::FindSvmBuffer(vcmd.src());
|
|
amd::Memory* dstMem = amd::SvmManager::FindSvmBuffer(vcmd.dst());
|
|
if (NULL == srcMem || NULL == dstMem) {
|
|
vcmd.setStatus(CL_INVALID_OPERATION);
|
|
return;
|
|
}
|
|
|
|
amd::Coord3D srcOrigin(0, 0, 0);
|
|
amd::Coord3D dstOrigin(0, 0, 0);
|
|
amd::Coord3D size(vcmd.srcSize(), 1, 1);
|
|
amd::BufferRect srcRect;
|
|
amd::BufferRect dstRect;
|
|
|
|
srcOrigin.c[0] = static_cast<const_address>(vcmd.src()) - static_cast<address>(srcMem->getSvmPtr());
|
|
dstOrigin.c[0] = static_cast<const_address>(vcmd.dst()) - static_cast<address>(dstMem->getSvmPtr());
|
|
|
|
if (!(srcMem->validateRegion(srcOrigin, size)) || !(dstMem->validateRegion(dstOrigin, size))) {
|
|
vcmd.setStatus(CL_INVALID_OPERATION);
|
|
return;
|
|
}
|
|
|
|
bool entire = srcMem->isEntirelyCovered(srcOrigin, size) &&
|
|
dstMem->isEntirelyCovered(dstOrigin, size);
|
|
|
|
if (!copyMemory(type, *srcMem, *dstMem, entire,
|
|
srcOrigin, dstOrigin, size, srcRect, dstRect)) {
|
|
vcmd.setStatus(CL_INVALID_OPERATION);
|
|
}
|
|
|
|
profilingEnd(vcmd);
|
|
}
|
|
|
|
void
|
|
VirtualGPU::submitMapMemory(amd::MapMemoryCommand& vcmd)
|
|
{
|
|
// Make sure VirtualGPU has an exclusive access to the resources
|
|
amd::ScopedLock lock(execution());
|
|
|
|
profilingBegin(vcmd, true);
|
|
|
|
gpu::Memory* memory = dev().getGpuMemory(&vcmd.memory());
|
|
|
|
// Save write map info for unmap copy
|
|
if (vcmd.mapFlags() & (CL_MAP_WRITE | CL_MAP_WRITE_INVALIDATE_REGION)) {
|
|
memory->saveWriteMapInfo(vcmd.origin(),
|
|
vcmd.size(), vcmd.isEntireMemory());
|
|
}
|
|
|
|
// If we have host memory, use it
|
|
if (memory->owner()->getHostMem() != NULL) {
|
|
if (!memory->isHostMemDirectAccess()) {
|
|
// Make sure GPU finished operation before
|
|
// synchronization with the backing store
|
|
memory->wait(*this);
|
|
}
|
|
|
|
// Target is the backing store, so just ensure that owner is up-to-date
|
|
memory->owner()->cacheWriteBack();
|
|
|
|
// Add memory to VA cache, so rutnime can detect direct access to VA
|
|
dev().addVACache(memory);
|
|
}
|
|
else if (memory->isPersistentDirectMap()) {
|
|
// Nothing to do here
|
|
}
|
|
else if (memory->mapMemory() != NULL) {
|
|
// Target is a remote resource, so copy
|
|
assert(memory->mapMemory() != NULL);
|
|
if (vcmd.mapFlags() & (CL_MAP_READ | CL_MAP_WRITE)) {
|
|
amd::Coord3D dstOrigin(0, 0, 0);
|
|
if (memory->cal()->buffer_) {
|
|
if (!blitMgr().copyBuffer(*memory,
|
|
*memory->mapMemory(), vcmd.origin(), dstOrigin,
|
|
vcmd.size(), vcmd.isEntireMemory())) {
|
|
LogError("submitMapMemory() - copy failed");
|
|
vcmd.setStatus(CL_MAP_FAILURE);
|
|
}
|
|
}
|
|
else if ((vcmd.memory().getType() == CL_MEM_OBJECT_IMAGE1D_BUFFER)) {
|
|
amd::Memory* bufferFromImage = NULL;
|
|
Memory* memoryBuf = memory;
|
|
amd::Coord3D origin(vcmd.origin()[0]);
|
|
amd::Coord3D size(vcmd.size()[0]);
|
|
size_t elemSize =
|
|
vcmd.memory().asImage()->getImageFormat().getElementSize();
|
|
origin.c[0] *= elemSize;
|
|
size.c[0] *= elemSize;
|
|
|
|
bufferFromImage = createBufferFromImage(vcmd.memory());
|
|
if (NULL == bufferFromImage) {
|
|
LogError("We should not fail buffer creation from image_buffer!");
|
|
}
|
|
else {
|
|
bufferFromImage->setVirtualDevice(this);
|
|
memoryBuf = dev().getGpuMemory(bufferFromImage);
|
|
}
|
|
if (!blitMgr().copyBuffer(*memoryBuf,
|
|
*memory->mapMemory(), origin, dstOrigin,
|
|
size, vcmd.isEntireMemory())) {
|
|
LogError("submitMapMemory() - copy failed");
|
|
vcmd.setStatus(CL_MAP_FAILURE);
|
|
}
|
|
if (NULL != bufferFromImage) {
|
|
bufferFromImage->release();
|
|
}
|
|
}
|
|
else {
|
|
if (!blitMgr().copyImageToBuffer(*memory,
|
|
*memory->mapMemory(), vcmd.origin(), dstOrigin,
|
|
vcmd.size(), vcmd.isEntireMemory())) {
|
|
LogError("submitMapMemory() - copy failed");
|
|
vcmd.setStatus(CL_MAP_FAILURE);
|
|
}
|
|
}
|
|
}
|
|
}
|
|
else {
|
|
LogError("Unhandled map!");
|
|
}
|
|
|
|
profilingEnd(vcmd);
|
|
}
|
|
|
|
void
|
|
VirtualGPU::submitUnmapMemory(amd::UnmapMemoryCommand& vcmd)
|
|
{
|
|
// Make sure VirtualGPU has an exclusive access to the resources
|
|
amd::ScopedLock lock(execution());
|
|
|
|
profilingBegin(vcmd, true);
|
|
gpu::Memory* memory = dev().getGpuMemory(&vcmd.memory());
|
|
amd::Memory* owner = memory->owner();
|
|
|
|
// We used host memory
|
|
if (owner->getHostMem() != NULL) {
|
|
if (memory->isUnmapWrite()) {
|
|
// Target is the backing store, so sync
|
|
owner->signalWrite(NULL);
|
|
memory->syncCacheFromHost(*this);
|
|
}
|
|
// Remove memory from VA cache
|
|
dev().removeVACache(memory);
|
|
}
|
|
// data check was added for persistent memory that failed to get aperture
|
|
// and therefore are treated like a remote resource
|
|
else if (memory->isPersistentDirectMap() && (memory->data() != NULL)) {
|
|
memory->unmap(this);
|
|
}
|
|
else if (memory->mapMemory() != NULL) {
|
|
if (memory->isUnmapWrite()) {
|
|
amd::Coord3D srcOrigin(0, 0, 0);
|
|
// Target is a remote resource, so copy
|
|
assert(memory->mapMemory() != NULL);
|
|
if (memory->cal()->buffer_) {
|
|
if (!blitMgr().copyBuffer(
|
|
*memory->mapMemory(), *memory,
|
|
srcOrigin,
|
|
memory->writeMapInfo()->origin_,
|
|
memory->writeMapInfo()->region_,
|
|
memory->writeMapInfo()->entire_)) {
|
|
LogError("submitUnmapMemory() - copy failed");
|
|
vcmd.setStatus(CL_OUT_OF_RESOURCES);
|
|
}
|
|
}
|
|
else if ((vcmd.memory().getType() == CL_MEM_OBJECT_IMAGE1D_BUFFER)) {
|
|
amd::Memory* bufferFromImage = NULL;
|
|
Memory* memoryBuf = memory;
|
|
amd::Coord3D origin(memory->writeMapInfo()->origin_[0]);
|
|
amd::Coord3D size(memory->writeMapInfo()->region_[0]);
|
|
size_t elemSize =
|
|
vcmd.memory().asImage()->getImageFormat().getElementSize();
|
|
origin.c[0] *= elemSize;
|
|
size.c[0] *= elemSize;
|
|
|
|
bufferFromImage = createBufferFromImage(vcmd.memory());
|
|
if (NULL == bufferFromImage) {
|
|
LogError("We should not fail buffer creation from image_buffer!");
|
|
}
|
|
else {
|
|
bufferFromImage->setVirtualDevice(this);
|
|
memoryBuf = dev().getGpuMemory(bufferFromImage);
|
|
}
|
|
if (!blitMgr().copyBuffer(
|
|
*memory->mapMemory(), *memoryBuf,
|
|
srcOrigin, origin, size,
|
|
memory->writeMapInfo()->entire_)) {
|
|
LogError("submitUnmapMemory() - copy failed");
|
|
vcmd.setStatus(CL_OUT_OF_RESOURCES);
|
|
}
|
|
if (NULL != bufferFromImage) {
|
|
bufferFromImage->release();
|
|
}
|
|
}
|
|
else {
|
|
if (!blitMgr().copyBufferToImage(
|
|
*memory->mapMemory(), *memory,
|
|
srcOrigin,
|
|
memory->writeMapInfo()->origin_,
|
|
memory->writeMapInfo()->region_,
|
|
memory->writeMapInfo()->entire_)) {
|
|
LogError("submitUnmapMemory() - copy failed");
|
|
vcmd.setStatus(CL_OUT_OF_RESOURCES);
|
|
}
|
|
}
|
|
}
|
|
}
|
|
else {
|
|
LogError("Unhandled unmap!");
|
|
vcmd.setStatus(CL_INVALID_VALUE);
|
|
}
|
|
|
|
// Clear read only flag
|
|
memory->clearUnmapWrite();
|
|
|
|
profilingEnd(vcmd);
|
|
}
|
|
|
|
bool
|
|
VirtualGPU::fillMemory(cl_command_type type, amd::Memory* amdMemory, const void* pattern,
|
|
size_t patternSize, const amd::Coord3D& origin, const amd::Coord3D& size)
|
|
{
|
|
gpu::Memory* memory = dev().getGpuMemory(amdMemory);
|
|
bool entire = amdMemory->isEntirelyCovered(origin, size);
|
|
|
|
// Synchronize memory from host if necessary
|
|
device::Memory::SyncFlags syncFlags;
|
|
syncFlags.skipEntire_ = entire;
|
|
memory->syncCacheFromHost(*this, syncFlags);
|
|
|
|
bool result = false;
|
|
amd::Memory* bufferFromImage = NULL;
|
|
float fillValue[4];
|
|
|
|
// Force fill buffer for IMAGE1D_BUFFER
|
|
if ((type == CL_COMMAND_FILL_IMAGE) &&
|
|
(amdMemory->getType() == CL_MEM_OBJECT_IMAGE1D_BUFFER)) {
|
|
bufferFromImage = createBufferFromImage(*amdMemory);
|
|
if (NULL == bufferFromImage) {
|
|
LogError("We should not fail buffer creation from image_buffer!");
|
|
}
|
|
else {
|
|
type = CL_COMMAND_FILL_BUFFER;
|
|
bufferFromImage->setVirtualDevice(this);
|
|
memory = dev().getGpuMemory(bufferFromImage);
|
|
}
|
|
}
|
|
|
|
// Find the the right fill operation
|
|
switch (type) {
|
|
case CL_COMMAND_FILL_BUFFER :
|
|
case CL_COMMAND_SVM_MEMFILL : {
|
|
amd::Coord3D realOrigin(origin[0]);
|
|
amd::Coord3D realSize(size[0]);
|
|
// Reprogram fill parameters if it's an IMAGE1D_BUFFER object
|
|
if (NULL != bufferFromImage) {
|
|
size_t elemSize =
|
|
amdMemory->asImage()->getImageFormat().getElementSize();
|
|
realOrigin.c[0] *= elemSize;
|
|
realSize.c[0] *= elemSize;
|
|
memset(fillValue, 0, sizeof(fillValue));
|
|
amdMemory->asImage()->getImageFormat().formatColor(pattern, fillValue);
|
|
pattern = fillValue;
|
|
patternSize = elemSize;
|
|
}
|
|
result = blitMgr().fillBuffer(*memory, pattern,
|
|
patternSize, realOrigin, realSize, amdMemory->isEntirelyCovered(origin, size));
|
|
if (NULL != bufferFromImage) {
|
|
bufferFromImage->release();
|
|
}
|
|
}
|
|
break;
|
|
case CL_COMMAND_FILL_IMAGE:
|
|
result = blitMgr().fillImage(*memory, pattern,
|
|
origin, size, amdMemory->isEntirelyCovered(origin, size));
|
|
break;
|
|
default:
|
|
LogError("Unsupported command type for FillMemory!");
|
|
break;
|
|
}
|
|
|
|
if (!result) {
|
|
LogError("fillMemory failed!");
|
|
return false;
|
|
}
|
|
|
|
// Mark this as the most-recently written cache of the destination
|
|
amdMemory->signalWrite(&gpuDevice_);
|
|
return true;
|
|
}
|
|
|
|
void
|
|
VirtualGPU::submitFillMemory(amd::FillMemoryCommand& vcmd)
|
|
{
|
|
// Make sure VirtualGPU has an exclusive access to the resources
|
|
amd::ScopedLock lock(execution());
|
|
|
|
profilingBegin(vcmd, true);
|
|
|
|
if (!fillMemory(vcmd.type(), &vcmd.memory(),vcmd.pattern(),
|
|
vcmd.patternSize(), vcmd.origin(), vcmd.size())) {
|
|
vcmd.setStatus(CL_INVALID_OPERATION);
|
|
}
|
|
|
|
profilingEnd(vcmd);
|
|
}
|
|
|
|
void
|
|
VirtualGPU::submitSvmMapMemory(amd::SvmMapMemoryCommand& vcmd)
|
|
{
|
|
// Make sure VirtualGPU has an exclusive access to the resources
|
|
amd::ScopedLock lock(execution());
|
|
|
|
profilingBegin(vcmd, true);
|
|
|
|
//check if the ptr is in the svm space
|
|
amd::Memory* svmMem = vcmd.getSvmMem();
|
|
if (NULL == svmMem) {
|
|
LogWarning("wrong svm address ");
|
|
vcmd.setStatus(CL_INVALID_VALUE);
|
|
return;
|
|
}
|
|
|
|
// Make sure we have memory for the command execution
|
|
gpu::Memory* memory = dev().getGpuMemory(svmMem);
|
|
|
|
if (vcmd.mapFlags() & (CL_MAP_WRITE | CL_MAP_WRITE_INVALIDATE_REGION)) {
|
|
memory->saveWriteMapInfo(vcmd.origin(), vcmd.size(), vcmd.isEntireMemory());
|
|
}
|
|
|
|
if (memory->mapMemory() != NULL) {
|
|
if (vcmd.mapFlags() & (CL_MAP_READ | CL_MAP_WRITE)) {
|
|
amd::Coord3D dstOrigin(0, 0, 0);
|
|
if (memory->cal()->buffer_) {
|
|
if (!blitMgr().copyBuffer(*memory,
|
|
*memory->mapMemory(), vcmd.origin(), dstOrigin,
|
|
vcmd.size(), vcmd.isEntireMemory())) {
|
|
LogError("submitSVMMapMemory() - copy failed");
|
|
vcmd.setStatus(CL_MAP_FAILURE);
|
|
}
|
|
}
|
|
}
|
|
}
|
|
else {
|
|
LogError("Unhandled svm map!");
|
|
}
|
|
|
|
profilingEnd(vcmd);
|
|
}
|
|
|
|
void
|
|
VirtualGPU::submitSvmUnmapMemory(amd::SvmUnmapMemoryCommand& vcmd)
|
|
{
|
|
// Make sure VirtualGPU has an exclusive access to the resources
|
|
amd::ScopedLock lock(execution());
|
|
profilingBegin(vcmd, true);
|
|
|
|
amd::Memory* svmMem = vcmd.getSvmMem();
|
|
if (NULL == svmMem) {
|
|
LogWarning("wrong svm address ");
|
|
vcmd.setStatus(CL_INVALID_VALUE);
|
|
return;
|
|
}
|
|
|
|
gpu::Memory* memory = dev().getGpuMemory(svmMem);
|
|
|
|
if (memory->mapMemory() != NULL) {
|
|
if (memory->isUnmapWrite()) {
|
|
amd::Coord3D srcOrigin(0, 0, 0);
|
|
// Target is a remote resource, so copy
|
|
assert(memory->mapMemory() != NULL);
|
|
if (memory->cal()->buffer_) {
|
|
if (!blitMgr().copyBuffer(
|
|
*memory->mapMemory(), *memory,
|
|
srcOrigin,
|
|
memory->writeMapInfo()->origin_,
|
|
memory->writeMapInfo()->region_,
|
|
memory->writeMapInfo()->entire_)) {
|
|
LogError("submitUnmapMemory() - copy failed");
|
|
vcmd.setStatus(CL_OUT_OF_RESOURCES);
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
profilingEnd(vcmd);
|
|
}
|
|
|
|
void
|
|
VirtualGPU::submitSvmFillMemory(amd::SvmFillMemoryCommand& vcmd)
|
|
{
|
|
// Make sure VirtualGPU has an exclusive access to the resources
|
|
amd::ScopedLock lock(execution());
|
|
|
|
profilingBegin(vcmd, true);
|
|
|
|
amd::Memory* dstMemory = amd::SvmManager::FindSvmBuffer(vcmd.dst());
|
|
assert(dstMemory&&"No svm Buffer to fill with!");
|
|
size_t offset = reinterpret_cast<uintptr_t>(vcmd.dst())
|
|
- reinterpret_cast<uintptr_t>(dstMemory->getSvmPtr());
|
|
assert((offset >= 0)&&"wrong svm ptr to fill with!");
|
|
|
|
gpu::Memory* memory = dev().getGpuMemory(dstMemory);
|
|
size_t fillSize = vcmd.patternSize() * vcmd.times();
|
|
|
|
amd::Coord3D origin(offset, 0, 0);
|
|
amd::Coord3D size(fillSize, 1, 1);
|
|
assert((dstMemory->validateRegion(origin, size))&&"The incorrect fill size!");
|
|
|
|
if (!fillMemory(vcmd.type(), dstMemory, vcmd.pattern(),
|
|
vcmd.patternSize(), origin, size)) {
|
|
vcmd.setStatus(CL_INVALID_OPERATION);
|
|
}
|
|
profilingEnd(vcmd);
|
|
}
|
|
|
|
void
|
|
VirtualGPU::submitMigrateMemObjects(amd::MigrateMemObjectsCommand& vcmd)
|
|
{
|
|
// Make sure VirtualGPU has an exclusive access to the resources
|
|
amd::ScopedLock lock(execution());
|
|
|
|
profilingBegin(vcmd, true);
|
|
|
|
std::vector<amd::Memory*>::const_iterator itr;
|
|
for (itr = vcmd.memObjects().begin(); itr != vcmd.memObjects().end(); itr++) {
|
|
// Find device memory
|
|
gpu::Memory* memory = dev().getGpuMemory(*itr);
|
|
|
|
if (vcmd.migrationFlags() & CL_MIGRATE_MEM_OBJECT_HOST) {
|
|
memory->mgpuCacheWriteBack();
|
|
}
|
|
else if (vcmd.migrationFlags() & CL_MIGRATE_MEM_OBJECT_CONTENT_UNDEFINED) {
|
|
// Synchronize memory from host if necessary.
|
|
// The sync function will perform memory migration from
|
|
// another device if necessary
|
|
device::Memory::SyncFlags syncFlags;
|
|
memory->syncCacheFromHost(*this, syncFlags);
|
|
}
|
|
else {
|
|
LogWarning("Unknown operation for memory migration!");
|
|
}
|
|
}
|
|
|
|
profilingEnd(vcmd);
|
|
}
|
|
|
|
void
|
|
VirtualGPU::submitSvmFreeMemory(amd::SvmFreeMemoryCommand& vcmd)
|
|
{
|
|
// in-order semantics: previous commands need to be done before we start
|
|
// Make sure VirtualGPU has an exclusive access to the resources
|
|
amd::ScopedLock lock(execution());
|
|
|
|
profilingBegin(vcmd);
|
|
std::vector<void*>& svmPointers = vcmd.svmPointers();
|
|
if (vcmd.pfnFreeFunc() == NULL) {
|
|
// pointers allocated using clSVMAlloc
|
|
for (cl_uint i = 0; i < svmPointers.size(); i++) {
|
|
dev().svmFree(svmPointers[i]);
|
|
}
|
|
}
|
|
else {
|
|
vcmd.pfnFreeFunc()(as_cl(vcmd.queue()->asCommandQueue()), svmPointers.size(),
|
|
static_cast<void**>(&(svmPointers[0])), vcmd.userData());
|
|
}
|
|
profilingEnd(vcmd);
|
|
}
|
|
|
|
void
|
|
VirtualGPU::findIterations(
|
|
const amd::NDRangeContainer& sizes,
|
|
const amd::NDRange& local,
|
|
amd::NDRange& groups,
|
|
amd::NDRange& remainder,
|
|
size_t& extra)
|
|
{
|
|
size_t dimensions = sizes.dimensions();
|
|
|
|
if (cal()->iterations_ > 1) {
|
|
size_t iterations = cal()->iterations_;
|
|
cal_.iterations_ = 1;
|
|
|
|
// Find the total amount of all groups
|
|
groups = sizes.global() / local;
|
|
if (dev().settings().partialDispatch_) {
|
|
for (uint j = 0; j < dimensions; ++j) {
|
|
if ((sizes.global()[j] % local[j]) != 0) {
|
|
groups[j]++;
|
|
}
|
|
}
|
|
}
|
|
|
|
// Calculate the real number of required iterations and
|
|
// the workgroup size of each iteration
|
|
for (int j = (dimensions - 1); j >= 0; --j) {
|
|
// Find possible size of each iteration
|
|
size_t tmp = (groups[j] / iterations);
|
|
// Make sure the group size is more than 1
|
|
if (tmp > 0) {
|
|
remainder = groups;
|
|
remainder[j] = (groups[j] % tmp);
|
|
|
|
extra = ((groups[j] / tmp) +
|
|
// Check for the remainder
|
|
((remainder[j] != 0) ? 1 : 0));
|
|
// Recalculate the number of iterations
|
|
cal_.iterations_ *= extra;
|
|
if (remainder[j] == 0) {
|
|
extra = 0;
|
|
}
|
|
groups[j] = tmp;
|
|
break;
|
|
}
|
|
else {
|
|
iterations = ((iterations / groups[j]) +
|
|
(((iterations % groups[j]) != 0) ? 1 : 0));
|
|
cal_.iterations_ *= groups[j];
|
|
groups[j] = 1;
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
void
|
|
VirtualGPU::setupIteration(
|
|
uint iteration,
|
|
const amd::NDRangeContainer& sizes,
|
|
Kernel& gpuKernel,
|
|
amd::NDRange& global,
|
|
amd::NDRange& offsets,
|
|
amd::NDRange& local,
|
|
amd::NDRange& groups,
|
|
amd::NDRange& groupOffset,
|
|
amd::NDRange& divider,
|
|
amd::NDRange& remainder,
|
|
size_t extra)
|
|
{
|
|
size_t dimensions = sizes.dimensions();
|
|
|
|
// Calculate the workload size for the remainder
|
|
if ((extra != 0) && ((iteration % extra) == 0)) {
|
|
groups = remainder;
|
|
}
|
|
else {
|
|
groups = divider;
|
|
}
|
|
global = groups * local;
|
|
|
|
if (dev().settings().partialDispatch_) {
|
|
for (uint j = 0; j < dimensions; ++j) {
|
|
size_t offset = groupOffset[j] * local[j];
|
|
if ((offset + global[j]) > sizes.global()[j]) {
|
|
global[j] = sizes.global()[j] - offset;
|
|
}
|
|
}
|
|
}
|
|
|
|
// Reprogram the kernel parameters for the GPU execution
|
|
gpuKernel.setupProgramGrid(*this, dimensions,
|
|
offsets, global, local, groupOffset,
|
|
sizes.offset(), sizes.global());
|
|
|
|
// Update the constant buffers
|
|
gpuKernel.bindConstantBuffers(*this);
|
|
|
|
uint sub = 0;
|
|
// Find the offsets for the next execution
|
|
for (uint j = 0; j < dimensions; ++j) {
|
|
groupOffset[j] += groups[j];
|
|
// Make sure the offset doesn't go over the size limit
|
|
if (sizes.global()[j] <= groupOffset[j] * local[j]) {
|
|
// Check if we counted a group in one dimension already
|
|
if (sub) {
|
|
groupOffset[j] -= groups[j];
|
|
}
|
|
else {
|
|
groupOffset[j] = 0;
|
|
}
|
|
}
|
|
else {
|
|
groupOffset[j] -= sub;
|
|
// We already counted elements in one dimension
|
|
sub = 1;
|
|
}
|
|
|
|
offsets[j] = groupOffset[j] * local[j] +
|
|
sizes.offset()[j];
|
|
}
|
|
}
|
|
|
|
void
|
|
VirtualGPU::submitKernel(amd::NDRangeKernelCommand& vcmd)
|
|
{
|
|
// Make sure VirtualGPU has an exclusive access to the resources
|
|
amd::ScopedLock lock(execution());
|
|
|
|
profilingBegin(vcmd);
|
|
|
|
// Submit kernel to HW
|
|
if (!submitKernelInternal(vcmd.sizes(), vcmd.kernel(), vcmd.parameters(), false)) {
|
|
vcmd.setStatus(CL_INVALID_OPERATION);
|
|
}
|
|
|
|
profilingEnd(vcmd);
|
|
}
|
|
|
|
bool
|
|
VirtualGPU::submitKernelInternalHSA(
|
|
const amd::NDRangeContainer& sizes,
|
|
const amd::Kernel& kernel,
|
|
const_address parameters,
|
|
bool nativeMem)
|
|
{
|
|
uint64_t vmParentWrap = 0;
|
|
uint64_t vmDefQueue = 0;
|
|
amd::DeviceQueue* defQueue = kernel.program().context().defDeviceQueue(dev());
|
|
VirtualGPU* gpuDefQueue = NULL;
|
|
|
|
// Get the HSA kernel object
|
|
const HSAILKernel& hsaKernel =
|
|
static_cast<const HSAILKernel&>(*(kernel.getDeviceKernel(dev())));
|
|
std::vector<const Resource*> memList;
|
|
|
|
bool printfEnabled = (hsaKernel.printfInfo().size() > 0) ? true:false;
|
|
if (!printfDbgHSA().init(*this, printfEnabled )){
|
|
LogError( "Printf debug buffer initialization failed!");
|
|
return false;
|
|
}
|
|
|
|
bool deviceSupportFGS = 0 != (dev().info().svmCapabilities_ & CL_DEVICE_SVM_FINE_GRAIN_SYSTEM);
|
|
bool supportFineGrainedSystem = deviceSupportFGS;
|
|
FGSStatus status = kernel.parameters().getSvmSystemPointersSupport();
|
|
switch (status) {
|
|
case FGS_YES:
|
|
if (!deviceSupportFGS) {
|
|
return false;
|
|
}
|
|
supportFineGrainedSystem = true;
|
|
break;
|
|
case FGS_NO:
|
|
supportFineGrainedSystem = false;
|
|
break;
|
|
case FGS_DEFAULT:
|
|
default:
|
|
break;
|
|
}
|
|
|
|
size_t count = kernel.parameters().getNumberOfSvmPtr();
|
|
size_t execInfoOffset = kernel.parameters().getExecInfoOffset();
|
|
amd::Memory* memory = NULL;
|
|
//get svm non arugment information
|
|
void* const* svmPtrArray = reinterpret_cast<void* const*>(parameters + execInfoOffset);
|
|
for (size_t i = 0; i < count; i++) {
|
|
memory = amd::SvmManager::FindSvmBuffer(svmPtrArray[i]);
|
|
if (NULL == memory) {
|
|
if (!supportFineGrainedSystem) {
|
|
return false;
|
|
}
|
|
}
|
|
else {
|
|
Memory* gpuMemory = dev().getGpuMemory(memory);
|
|
if (NULL != gpuMemory) {
|
|
memList.push_back(gpuMemory);
|
|
}
|
|
else {
|
|
return false;
|
|
}
|
|
}
|
|
}
|
|
|
|
// Check memory dependency and cache coherency
|
|
processMemObjectsHSA(kernel, parameters, nativeMem);
|
|
cal_.memCount_ = 0;
|
|
|
|
if (hsaKernel.dynamicParallelism()) {
|
|
if (NULL == defQueue) {
|
|
LogError("Default device queue wasn't allocated");
|
|
return false;
|
|
}
|
|
else {
|
|
if (dev().settings().useDeviceQueue_) {
|
|
gpuDefQueue = static_cast<VirtualGPU*>(defQueue->vDev());
|
|
if (gpuDefQueue->hwRing() == hwRing()) {
|
|
LogError("Can't submit the child kernels to the same HW ring as the host queue!");
|
|
return false;
|
|
}
|
|
}
|
|
else {
|
|
createVirtualQueue(defQueue->size());
|
|
gpuDefQueue = this;
|
|
}
|
|
}
|
|
vmDefQueue = gpuDefQueue->virtualQueue_->vmAddress();
|
|
|
|
// Add memory handles before the actual dispatch
|
|
memList.push_back(gpuDefQueue->virtualQueue_);
|
|
memList.push_back(gpuDefQueue->schedParams_);
|
|
memList.push_back(hsaKernel.prog().kernelTable());
|
|
gpuDefQueue->writeVQueueHeader(*this,
|
|
hsaKernel.prog().kernelTable()->vmAddress());
|
|
}
|
|
|
|
// Program the kernel arguments for the GPU execution
|
|
HsaAqlDispatchPacket* aqlPkt =
|
|
hsaKernel.loadArguments(*this, kernel, sizes, parameters, nativeMem,
|
|
vmDefQueue, &vmParentWrap, memList);
|
|
if (NULL == aqlPkt) {
|
|
LogError("Couldn't load kernel arguments");
|
|
return false;
|
|
}
|
|
|
|
gslMemObject scratch = NULL;
|
|
// Check if the device allocated more registers than the old setup
|
|
if (hsaKernel.workGroupInfo()->scratchRegs_ > 0) {
|
|
const std::vector<Memory*>& mems = dev().scratch(hwRing())->memObjs_;
|
|
scratch = mems[0]->gslResource();
|
|
memList.push_back(mems[0]);
|
|
scratchRegNum_ = dev().scratch(hwRing())->regNum_;
|
|
}
|
|
|
|
// Add GSL handle to the memory list for VidMM
|
|
for (uint i = 0; i < memList.size(); ++i) {
|
|
addVmMemory(memList[i]);
|
|
}
|
|
|
|
GpuEvent gpuEvent;
|
|
// Run AQL dispatch in HW
|
|
runAqlDispatch(gpuEvent, aqlPkt, vmMems(), cal_.memCount_,
|
|
scratch, hsaKernel.cpuAqlCode(), hsaQueueMem_->vmAddress());
|
|
|
|
if (hsaKernel.dynamicParallelism()) {
|
|
// Make sure exculsive access to the device queue
|
|
amd::ScopedLock(defQueue->lock());
|
|
|
|
if (GPU_PRINT_CHILD_KERNEL != 0) {
|
|
waitForEvent(&gpuEvent);
|
|
|
|
AmdAqlWrap* wraps = (AmdAqlWrap*)(&((AmdVQueueHeader*)gpuDefQueue->virtualQueue_->data())[1]);
|
|
uint p = 0;
|
|
for (uint i = 0; i < gpuDefQueue->vqHeader_->aql_slot_num; ++i) {
|
|
if (wraps[i].state != 0) {
|
|
uint j;
|
|
if (p == GPU_PRINT_CHILD_KERNEL) {
|
|
break;
|
|
}
|
|
p++;
|
|
std::stringstream print;
|
|
print.flags(std::ios::right | std::ios_base::hex | std::ios_base::uppercase);
|
|
print << "Slot#: " << i << "\n";
|
|
print << "\tenqueue_flags: " << wraps[i].enqueue_flags << "\n";
|
|
print << "\tcommand_id: " << wraps[i].command_id << "\n";
|
|
print << "\tchild_counter: " << wraps[i].child_counter << "\n";
|
|
print << "\tcompletion: " << wraps[i].completion << "\n";
|
|
print << "\tparent_wrap: " << wraps[i].parent_wrap << "\n";
|
|
print << "\twait_list: " << wraps[i].wait_list << "\n";
|
|
print << "\twait_num: " << wraps[i].wait_num << "\n";
|
|
uint offsEvents = wraps[i].wait_list -
|
|
gpuDefQueue->virtualQueue_->vmAddress();
|
|
size_t* events = reinterpret_cast<size_t*>(
|
|
gpuDefQueue->virtualQueue_->data() + offsEvents);
|
|
for (j = 0; j < wraps[i].wait_num; ++j) {
|
|
uint offs = static_cast<uint64_t>(events[j]) -
|
|
gpuDefQueue->virtualQueue_->vmAddress();
|
|
AmdEvent* eventD = (AmdEvent*)(gpuDefQueue->virtualQueue_->data() + offs);
|
|
print << "Wait Event#: " << j << "\n";
|
|
print << "\tState: " << eventD->state <<
|
|
"; Counter: " << eventD->counter << "\n";
|
|
}
|
|
print << "WorkGroupSize[ " << wraps[i].aql.workgroup_size[0] << ", ";
|
|
print << wraps[i].aql.workgroup_size[1] << ", ";
|
|
print << wraps[i].aql.workgroup_size[2] << "]\n";
|
|
print << "GridSize[ " << wraps[i].aql.grid_size[0] << ", ";
|
|
print << wraps[i].aql.grid_size[1] << ", ";
|
|
print << wraps[i].aql.grid_size[2] << "]\n";
|
|
|
|
uint64_t* kernels = (uint64_t*)(
|
|
const_cast<Memory*>(hsaKernel.prog().kernelTable())->map(this));
|
|
for (j = 0; j < hsaKernel.prog().kernels().size(); ++j) {
|
|
if (kernels[j] == wraps[i].aql.kernel_object_address) {
|
|
break;
|
|
}
|
|
}
|
|
const_cast<Memory*>(hsaKernel.prog().kernelTable())->unmap(this);
|
|
HSAILKernel* child = NULL;
|
|
for (auto it = hsaKernel.prog().kernels().begin();
|
|
it != hsaKernel.prog().kernels().end(); ++it) {
|
|
if (j == static_cast<HSAILKernel*>(it->second)->index()) {
|
|
child = static_cast<HSAILKernel*>(it->second);
|
|
}
|
|
}
|
|
if (child == NULL) {
|
|
printf("Error: couldn't find child kernel!\n");
|
|
continue;
|
|
}
|
|
uint offsArg = wraps[i].aql.kernel_arg_address -
|
|
gpuDefQueue->virtualQueue_->vmAddress();
|
|
address argum = gpuDefQueue->virtualQueue_->data() + offsArg;
|
|
print << "Kernel: " << child->name() << "\n";
|
|
static const char* Names[HSAILKernel::ExtraArguments] = {
|
|
"Offset0: ", "Offset1: ","Offset2: ","PrintfBuf: ", "VqueuePtr: ", "AqlWrap: "};
|
|
for (j = 0; j < HSAILKernel::ExtraArguments; ++j) {
|
|
print << "\t" << Names[j] << *(size_t*)argum;
|
|
print << "\n";
|
|
argum += sizeof(size_t);
|
|
}
|
|
for (j = 0; j < child->numArguments(); ++j) {
|
|
print << "\t" << child->argument(j)->name_ << ": ";
|
|
for (int s = child->argument(j)->size_ - 1; s >= 0; --s) {
|
|
print.width(2);
|
|
print.fill('0');
|
|
print << (uint32_t)(argum[s]);
|
|
}
|
|
argum += child->argument(j)->size_;
|
|
print << "\n";
|
|
}
|
|
printf("%s", print.str().c_str());
|
|
}
|
|
}
|
|
}
|
|
|
|
if (!dev().settings().useDeviceQueue_) {
|
|
// Add the termination handshake to the host queue
|
|
virtualQueueHandshake(gpuEvent, gpuDefQueue->schedParams_->gslResource(),
|
|
vmParentWrap + offsetof(AmdAqlWrap, state), AQL_WRAP_DONE,
|
|
vmParentWrap + offsetof(AmdAqlWrap, child_counter),
|
|
0, dev().settings().useDeviceQueue_);
|
|
}
|
|
|
|
// Get the global loop start before the scheduler
|
|
mcaddr loopStart = gpuDefQueue->virtualQueueDispatcherStart();
|
|
static_cast<KernelBlitManager&>(gpuDefQueue->blitMgr()).runScheduler(
|
|
*gpuDefQueue->virtualQueue_,
|
|
*gpuDefQueue->schedParams_, gpuDefQueue->schedParamIdx_,
|
|
gpuDefQueue->vqHeader_->aql_slot_num);
|
|
const static bool FlushL2 = true;
|
|
gpuDefQueue->flushCUCaches(FlushL2);
|
|
|
|
// Get the address of PM4 template and add write it to params
|
|
//! @note DMA flush must not occur between patch and the scheduler
|
|
mcaddr patchStart = gpuDefQueue->virtualQueueDispatcherStart();
|
|
|
|
// Program parameters for the scheduler
|
|
SchedulerParam* param = &reinterpret_cast<SchedulerParam*>
|
|
(gpuDefQueue->schedParams_->data())[gpuDefQueue->schedParamIdx_];
|
|
param->signal = 1;
|
|
// Scale clock to 1024 to avoid 64 bit div in the scheduler
|
|
param->eng_clk = (1000 * 1024) / dev().info().maxClockFrequency_;
|
|
param->hw_queue = patchStart + sizeof(uint32_t)/* Rewind packet*/;
|
|
param->hsa_queue = gpuDefQueue->hsaQueueMem()->vmAddress();
|
|
param->launch = 0;
|
|
param->releaseHostCP = 0;
|
|
param->parentAQL = vmParentWrap;
|
|
param->dedicatedQueue = dev().settings().useDeviceQueue_;
|
|
|
|
// Fill the scratch buffer information
|
|
if (hsaKernel.prog().maxScratchRegs() > 0) {
|
|
gpu::Memory* scratchBuf = dev().scratch(gpuDefQueue->hwRing())->memObjs_[0];
|
|
param->scratchSize = scratchBuf->size();
|
|
param->scratch = scratchBuf->vmAddress();
|
|
param->numMaxWaves = 32 * dev().info().maxComputeUnits_;
|
|
memList.push_back(scratchBuf);
|
|
}
|
|
else {
|
|
param->numMaxWaves = 0;
|
|
param->scratchSize = 0;
|
|
param->scratch = 0;
|
|
}
|
|
|
|
// Add all kernels in the program to the mem list.
|
|
//! \note Runtime doesn't know which one will be called
|
|
hsaKernel.prog().fillResListWithKernels(memList);
|
|
|
|
// Add GSL handle to the memory list for VidMM
|
|
for (uint i = 0; i < memList.size(); ++i) {
|
|
gpuDefQueue->addVmMemory(memList[i]);
|
|
}
|
|
|
|
mcaddr signalAddr = gpuDefQueue->schedParams_->vmAddress() +
|
|
gpuDefQueue->schedParamIdx_ * sizeof(SchedulerParam);
|
|
gpuDefQueue->virtualQueueDispatcherEnd(gpuEvent,
|
|
gpuDefQueue->vmMems(), gpuDefQueue->cal_.memCount_,
|
|
signalAddr, loopStart);
|
|
|
|
// Set GPU event for the used resources
|
|
for (uint i = 0; i < memList.size(); ++i) {
|
|
memList[i]->setBusy(*gpuDefQueue, gpuEvent);
|
|
}
|
|
|
|
if (dev().settings().useDeviceQueue_) {
|
|
// Add the termination handshake to the host queue
|
|
virtualQueueHandshake(gpuEvent, gpuDefQueue->schedParams_->gslResource(),
|
|
vmParentWrap + offsetof(AmdAqlWrap, state), AQL_WRAP_DONE,
|
|
vmParentWrap + offsetof(AmdAqlWrap, child_counter),
|
|
signalAddr, dev().settings().useDeviceQueue_);
|
|
}
|
|
|
|
++gpuDefQueue->schedParamIdx_ %=
|
|
gpuDefQueue->schedParams_->size() / sizeof(SchedulerParam);
|
|
//! \todo optimize the wrap around
|
|
if (gpuDefQueue->schedParamIdx_ == 0) {
|
|
gpuDefQueue->schedParams_->wait(*gpuDefQueue);
|
|
}
|
|
}
|
|
|
|
// Set GPU event for the used resources
|
|
for (uint i = 0; i < memList.size(); ++i) {
|
|
memList[i]->setBusy(*this, gpuEvent);
|
|
}
|
|
|
|
// Update the global GPU event
|
|
setGpuEvent(gpuEvent);
|
|
|
|
if (!printfDbgHSA().output(*this, printfEnabled, hsaKernel.printfInfo())) {
|
|
LogError("Couldn't read printf data from the buffer!\n");
|
|
return false;
|
|
}
|
|
|
|
// Runtime submitted a HSAIL kernel
|
|
state_.hsailKernel_ = true;
|
|
|
|
return true;
|
|
}
|
|
|
|
bool
|
|
VirtualGPU::submitKernelInternal(
|
|
const amd::NDRangeContainer& sizes,
|
|
const amd::Kernel& kernel,
|
|
const_address parameters,
|
|
bool nativeMem)
|
|
{
|
|
bool result = true;
|
|
uint i;
|
|
size_t dimensions = sizes.dimensions();
|
|
amd::NDRange local(sizes.local());
|
|
amd::NDRange groupOffset(dimensions);
|
|
GpuEvent gpuEvent;
|
|
groupOffset = 0;
|
|
|
|
// Get the GPU kernel object with optimization enabled
|
|
bool noAlias = true;
|
|
device::Kernel* devKernel = const_cast<device::Kernel*>
|
|
(kernel.getDeviceKernel(dev(), noAlias));
|
|
Kernel& gpuKernelOpt = static_cast<gpu::Kernel&>(*devKernel);
|
|
|
|
if (gpuKernelOpt.hsa()) {
|
|
return submitKernelInternalHSA(sizes, kernel, parameters, nativeMem);
|
|
}
|
|
else if (state_.hsailKernel_) {
|
|
// Reload GSL state to HW, so runtime could run AMDIL kernel
|
|
flushDMA(MainEngine);
|
|
// Reset HSAIL state
|
|
state_.hsailKernel_ = false;
|
|
}
|
|
|
|
// Find if arguments contain memory aliases or a dependency in the queue
|
|
if (gpuKernelOpt.processMemObjects(*this, kernel, parameters, nativeMem)) {
|
|
// Try to obtain a kernel object without optimization
|
|
noAlias = false;
|
|
devKernel = const_cast<device::Kernel*>
|
|
(kernel.getDeviceKernel(dev(), noAlias));
|
|
if (devKernel == NULL) {
|
|
// We don't have any, so rebuild kernel
|
|
if (!kernel.program().buildNoOpt(dev(), gpuKernelOpt.name())) {
|
|
LogWarning("Kernel recompilation without noAlias failed!");
|
|
noAlias = true;
|
|
}
|
|
|
|
// Get the GPU kernel object for the final execution
|
|
devKernel = const_cast<device::Kernel*>
|
|
(kernel.getDeviceKernel(dev(), noAlias));
|
|
}
|
|
}
|
|
|
|
Kernel& gpuKernel = static_cast<gpu::Kernel&>(*devKernel);
|
|
bool printfEnabled = (gpuKernel.flags() &
|
|
gpu::NullKernel::PrintfOutput) ? true:false;
|
|
// Set current kernel CAL descriptor as active
|
|
if (!setActiveKernelDesc(sizes, &gpuKernel) ||
|
|
// Initialize printf support
|
|
!printfDbg().init(*this, printfEnabled , sizes.global())) {
|
|
LogPrintfError("We couldn't set \"%s\" kernel as active!",
|
|
gpuKernel.name().data());
|
|
return false;
|
|
}
|
|
|
|
// Find if we have to split workload
|
|
dmaFlushMgmt_.findSplitSize(dev(), sizes.global().product(), gpuKernel.instructionCnt());
|
|
|
|
// Program the kernel parameters for the GPU execution
|
|
cal_.memCount_ = 0;
|
|
gpuKernel.setupProgramGrid(*this, dimensions,
|
|
sizes.offset(), sizes.global(),
|
|
local, groupOffset, sizes.offset(), sizes.global());
|
|
|
|
// Load kernel arguments
|
|
if (gpuKernel.loadParameters(*this, kernel, parameters, nativeMem)) {
|
|
amd::NDRange global(sizes.global());
|
|
amd::NDRange groups(dimensions);
|
|
amd::NDRange offsets(sizes.offset());
|
|
amd::NDRange divider(dimensions);
|
|
amd::NDRange remainder(dimensions);
|
|
size_t extra = 0;
|
|
|
|
// Split the workload if necessary for local/private emulation or printf
|
|
findIterations(sizes, local, groups, remainder, extra);
|
|
|
|
divider = groups;
|
|
i = 0;
|
|
do {
|
|
bool lastRun = (i == (cal()->iterations_ - 1)) ? true : false;
|
|
// Reprogram the CAL grid and constant buffers if
|
|
// the workload split is on
|
|
if (cal()->iterations_ > 1) {
|
|
// Initialize printf support
|
|
if (!printfDbg().init(*this, printfEnabled, local)) {
|
|
result = false;
|
|
break;
|
|
}
|
|
|
|
// Reprogram the CAL grid and constant buffers
|
|
setupIteration(i, sizes,
|
|
gpuKernel, global, offsets, local,
|
|
groups, groupOffset, divider, remainder, extra);
|
|
}
|
|
|
|
// Execute the kernel
|
|
if (gpuKernel.run(*this, &gpuEvent, lastRun)) {
|
|
//! @todo A flush is necessary to make sure
|
|
// that 2 consecutive runs won't access to the same
|
|
// private/local memory. CAL has to generate cache flush
|
|
// and wait for idle commands
|
|
bool flush = ((cal()->iterations_ > 1) ||
|
|
dmaFlushMgmt_.isCbReady(*this, global.product(),
|
|
gpuKernel.instructionCnt())) ? true : false;
|
|
|
|
// Update the global GPU event
|
|
setGpuEvent(gpuEvent, flush);
|
|
|
|
// This code for the kernel execution debugging
|
|
if (dev().settings().debugFlags_ & Settings::LockGlobalMemory) {
|
|
gpuKernel.debug(*this);
|
|
}
|
|
}
|
|
else {
|
|
result = false;
|
|
break;
|
|
}
|
|
|
|
// Print the debug buffer output result
|
|
if (printfDbg().output(*this, printfEnabled,
|
|
(cal()->iterations_ > 1) ? local : sizes.global(),
|
|
gpuKernel.prog().printfInfo())) {
|
|
// Go to the next iteration
|
|
++i;
|
|
}
|
|
else {
|
|
result = false;
|
|
break;
|
|
}
|
|
}
|
|
// Check if we have to make multiple iterations
|
|
while (i < cal()->iterations_);
|
|
}
|
|
else {
|
|
result = false;
|
|
}
|
|
|
|
if (!result) {
|
|
LogPrintfError("submitKernel failed to execute the \"%s\" kernel on HW!",
|
|
gpuKernel.name().data());
|
|
}
|
|
|
|
return result;
|
|
}
|
|
|
|
void
|
|
VirtualGPU::submitNativeFn(amd::NativeFnCommand& vcmd)
|
|
{
|
|
// Make sure VirtualGPU has an exclusive access to the resources
|
|
amd::ScopedLock lock(execution());
|
|
|
|
Unimplemented(); //!< @todo: Unimplemented
|
|
}
|
|
|
|
void
|
|
VirtualGPU::submitMarker(amd::Marker& vcmd)
|
|
{
|
|
//!@note runtime doesn't need to lock this command on execution
|
|
|
|
if (vcmd.waitingEvent() != NULL) {
|
|
bool foundEvent = false;
|
|
|
|
// Loop through all outstanding command batches
|
|
while (!cbList_.empty()) {
|
|
CommandBatchList::const_iterator it = cbList_.begin();
|
|
// Wait for completion
|
|
foundEvent = awaitCompletion(*it, vcmd.waitingEvent());
|
|
// Release a command batch
|
|
delete *it;
|
|
// Remove command batch from the list
|
|
cbList_.pop_front();
|
|
// Early exit if we found a command
|
|
if (foundEvent) break;
|
|
}
|
|
|
|
// Event should be in the current command batch
|
|
if (!foundEvent) {
|
|
state_.forceWait_ = true;
|
|
}
|
|
// If we don't have any more batches, then assume GPU is idle
|
|
else if (cbList_.empty()) {
|
|
dmaFlushMgmt_.resetCbWorkload(dev());
|
|
}
|
|
}
|
|
}
|
|
|
|
void
|
|
VirtualGPU::releaseMemory(gslMemObject gslResource, bool wait)
|
|
{
|
|
bool result = true;
|
|
if (wait) {
|
|
waitForEvent(&gpuEvents_[gslResource]);
|
|
}
|
|
|
|
// Unbind resource if it's active kernel desc
|
|
for (uint i = 0; i < MaxUavArguments; ++i) {
|
|
if (gslResource == cal_.uavs_[i]) {
|
|
result = setUAVBuffer(i, 0, GSL_UAV_TYPE_UNKNOWN);
|
|
cal_.uavs_[i] = 0;
|
|
}
|
|
}
|
|
for (uint i = 0; i < MaxReadImage; ++i) {
|
|
if (gslResource == cal_.readImages_[i]) {
|
|
result = setInput(i, 0);
|
|
cal_.readImages_[i] = 0;
|
|
}
|
|
}
|
|
for (uint i = 0; i < MaxConstBuffers; ++i) {
|
|
if (gslResource == cal_.constBuffers_[i]) {
|
|
result = setConstantBuffer(i, 0, 0, 0);
|
|
cal_.constBuffers_[i] = 0;
|
|
}
|
|
}
|
|
|
|
//!@todo optimize unbind
|
|
if (numGrpCb_ != NULL) {
|
|
setConstantBuffer(SC_INFO_CONSTANTBUFFER, NULL, 0, 0);
|
|
}
|
|
|
|
if ((dev().scratch(hwRing()) != NULL) &&
|
|
(dev().scratch(hwRing())->regNum_ > 0)) {
|
|
// Unbind scratch memory
|
|
const std::vector<Memory*>& mems = dev().scratch(hwRing())->memObjs_;
|
|
for (uint i = 0; i < mems.size(); ++i) {
|
|
if ((mems[i] != NULL) && (mems[i]->gslResource() == gslResource)) {
|
|
setScratchBuffer(NULL, i);
|
|
scratchRegNum_ = 0;
|
|
}
|
|
}
|
|
}
|
|
|
|
gpuEvents_.erase(gslResource);
|
|
}
|
|
|
|
void
|
|
VirtualGPU::releaseKernel(CALimage calImage)
|
|
{
|
|
GslKernelDesc* desc = gslKernels_[calImage];
|
|
if (desc != NULL) {
|
|
freeKernelDesc(desc);
|
|
}
|
|
gslKernels_.erase(calImage);
|
|
}
|
|
|
|
void
|
|
VirtualGPU::submitPerfCounter(amd::PerfCounterCommand& vcmd)
|
|
{
|
|
// Make sure VirtualGPU has an exclusive access to the resources
|
|
amd::ScopedLock lock(execution());
|
|
|
|
gslQueryObject gslCounter;
|
|
|
|
const amd::PerfCounterCommand::PerfCounterList counters = vcmd.getCounters();
|
|
|
|
// Create a HW counter
|
|
gslCounter = createCounter(GSL_PERFORMANCE_COUNTERS_ATI);
|
|
if (0 == gslCounter) {
|
|
LogError("We failed to allocate memory for the GPU perfcounter");
|
|
vcmd.setStatus(CL_INVALID_OPERATION);
|
|
return;
|
|
}
|
|
CalCounterReference* calRef = new CalCounterReference(*this, gslCounter);
|
|
if (calRef == NULL) {
|
|
LogError("We failed to allocate memory for the GPU perfcounter");
|
|
vcmd.setStatus(CL_INVALID_OPERATION);
|
|
return;
|
|
}
|
|
gslCounter = 0;
|
|
|
|
for (uint i = 0; i < vcmd.getNumCounters(); ++i) {
|
|
amd::PerfCounter* amdCounter =
|
|
static_cast<amd::PerfCounter*>(counters[i]);
|
|
const PerfCounter* counter =
|
|
static_cast<const PerfCounter*>(amdCounter->getDeviceCounter());
|
|
|
|
// Make sure we have a valid gpu performance counter
|
|
if (NULL == counter) {
|
|
amd::PerfCounter::Properties prop = amdCounter->properties();
|
|
PerfCounter* gpuCounter = new PerfCounter(
|
|
gpuDevice_,
|
|
*this,
|
|
prop[CL_PERFCOUNTER_GPU_BLOCK_INDEX],
|
|
prop[CL_PERFCOUNTER_GPU_COUNTER_INDEX],
|
|
prop[CL_PERFCOUNTER_GPU_EVENT_INDEX]);
|
|
if (NULL == gpuCounter) {
|
|
LogError("We failed to allocate memory for the GPU perfcounter");
|
|
vcmd.setStatus(CL_INVALID_OPERATION);
|
|
return;
|
|
}
|
|
else if (gpuCounter->create(calRef)) {
|
|
amdCounter->setDeviceCounter(gpuCounter);
|
|
}
|
|
else {
|
|
LogPrintfError("We failed to allocate a perfcounter in CAL.\
|
|
Block: %d, counter: #d, event: %d",
|
|
gpuCounter->info()->blockIndex_,
|
|
gpuCounter->info()->counterIndex_,
|
|
gpuCounter->info()->eventIndex_);
|
|
delete gpuCounter;
|
|
vcmd.setStatus(CL_INVALID_OPERATION);
|
|
return;
|
|
}
|
|
counter = gpuCounter;
|
|
}
|
|
}
|
|
|
|
calRef->release();
|
|
|
|
for (uint i = 0; i < vcmd.getNumCounters(); ++i) {
|
|
amd::PerfCounter* amdCounter =
|
|
static_cast<amd::PerfCounter*>(counters[i]);
|
|
const PerfCounter* counter =
|
|
static_cast<const PerfCounter*>(amdCounter->getDeviceCounter());
|
|
|
|
if (gslCounter != counter->gslCounter()) {
|
|
gslCounter = counter->gslCounter();
|
|
// Find the state and sends the command to CAL
|
|
if (vcmd.getState() == amd::PerfCounterCommand::Begin) {
|
|
beginCounter(gslCounter, GSL_PERFORMANCE_COUNTERS_ATI);
|
|
}
|
|
else if (vcmd.getState() == amd::PerfCounterCommand::End) {
|
|
GpuEvent event;
|
|
endCounter(gslCounter, event);
|
|
setGpuEvent(event);
|
|
}
|
|
else {
|
|
LogError("Unsupported performance counter state");
|
|
vcmd.setStatus(CL_INVALID_OPERATION);
|
|
return;
|
|
}
|
|
}
|
|
}
|
|
}
|
|
void
|
|
VirtualGPU::submitThreadTraceMemObjects(amd::ThreadTraceMemObjectsCommand& cmd)
|
|
{
|
|
// Make sure VirtualGPU has an exclusive access to the resources
|
|
amd::ScopedLock lock(execution());
|
|
|
|
profilingBegin(cmd);
|
|
|
|
switch(cmd.type()) {
|
|
case CL_COMMAND_THREAD_TRACE_MEM:
|
|
{
|
|
amd::ThreadTrace* amdThreadTrace = &cmd.getThreadTrace();
|
|
ThreadTrace* threadTrace =
|
|
static_cast<ThreadTrace*>(amdThreadTrace->getDeviceThreadTrace());
|
|
|
|
if (threadTrace == NULL) {
|
|
gslQueryObject gslThreadTrace;
|
|
// Create a HW thread trace query object
|
|
gslThreadTrace = createThreadTrace();
|
|
if (0 == gslThreadTrace) {
|
|
LogError("Failure in memory allocation for the GPU threadtrace");
|
|
cmd.setStatus(CL_INVALID_OPERATION);
|
|
return;
|
|
}
|
|
CalThreadTraceReference* calRef = new CalThreadTraceReference(*this,gslThreadTrace);
|
|
if (calRef == NULL) {
|
|
LogError("Failure in memory allocation for the GPU threadtrace");
|
|
cmd.setStatus(CL_INVALID_OPERATION);
|
|
return;
|
|
}
|
|
size_t seNum = amdThreadTrace->deviceSeNumThreadTrace();
|
|
ThreadTrace* gpuThreadTrace = new ThreadTrace(
|
|
gpuDevice_,
|
|
*this,
|
|
seNum);
|
|
if (NULL == gpuThreadTrace) {
|
|
LogError("Failure in memory allocation for the GPU threadtrace");
|
|
cmd.setStatus(CL_INVALID_OPERATION);
|
|
return;
|
|
}
|
|
if (gpuThreadTrace->create(calRef)) {
|
|
amdThreadTrace->setDeviceThreadTrace(gpuThreadTrace);
|
|
}
|
|
else {
|
|
LogError("Failure in memory allocation for the GPU threadtrace");
|
|
delete gpuThreadTrace;
|
|
cmd.setStatus(CL_INVALID_OPERATION);
|
|
return;
|
|
}
|
|
threadTrace = gpuThreadTrace;
|
|
calRef->release();
|
|
}
|
|
gslShaderTraceBufferObject* threadTraceBufferObjects = threadTrace->getThreadTraceBufferObjects();
|
|
const size_t memObjSize = cmd.getMemoryObjectSize();
|
|
const std::vector<amd::Memory*>& memObj = cmd.getMemList();
|
|
size_t se = 0;
|
|
for (std::vector<amd::Memory*>::const_iterator itMemObj = memObj.begin();itMemObj != memObj.end();++itMemObj,++se) {
|
|
// Find GSL Mem Object
|
|
gslMemObject gslMemObj = dev().getGpuMemory(*itMemObj)->gslResource();
|
|
|
|
// Bind GSL MemObject to the appropriate SE Thread Trace Buffer Object
|
|
configMemThreadTrace(threadTraceBufferObjects[se],gslMemObj,se,memObjSize);
|
|
}
|
|
break;
|
|
}
|
|
default:
|
|
LogError("Unsupported command type for ThreadTraceMemObjects!");
|
|
break;
|
|
}
|
|
}
|
|
|
|
void
|
|
VirtualGPU::submitThreadTrace(amd::ThreadTraceCommand& cmd)
|
|
{
|
|
// Make sure VirtualGPU has an exclusive access to the resources
|
|
amd::ScopedLock lock(execution());
|
|
|
|
profilingBegin(cmd);
|
|
|
|
switch(cmd.type()) {
|
|
case CL_COMMAND_THREAD_TRACE:
|
|
{
|
|
amd::ThreadTrace* amdThreadTrace =
|
|
static_cast<amd::ThreadTrace*>(&cmd.getThreadTrace());
|
|
ThreadTrace* threadTrace =
|
|
static_cast<ThreadTrace*>(amdThreadTrace->getDeviceThreadTrace());
|
|
|
|
// gpu thread trace object had to be generated prior to begin/end/pause/resume due
|
|
// to ThreadTraceMemObjectsCommand execution
|
|
if (threadTrace == NULL) {
|
|
return;
|
|
}
|
|
else {
|
|
gslQueryObject gslThreadTrace;
|
|
gslThreadTrace = threadTrace->gslThreadTrace();
|
|
// Find the state and sends the command to CAL
|
|
if (cmd.getState() == amd::ThreadTraceCommand::Begin) {
|
|
size_t amdMemObjsNumThreadTrace = amdThreadTrace->deviceSeNumThreadTrace();
|
|
amd::ThreadTrace::ThreadTraceConfig* amdThreadTraceConfig =
|
|
static_cast<amd::ThreadTrace::ThreadTraceConfig*>(cmd.threadTraceConfig());
|
|
CALthreadTraceConfig calTthreadTraceConfig;
|
|
|
|
calTthreadTraceConfig.cu = amdThreadTraceConfig->cu_;
|
|
calTthreadTraceConfig.sh = amdThreadTraceConfig->sh_;
|
|
calTthreadTraceConfig.simd_mask = amdThreadTraceConfig->simdMask_;
|
|
calTthreadTraceConfig.vm_id_mask = amdThreadTraceConfig->vmIdMask_;
|
|
calTthreadTraceConfig.token_mask = amdThreadTraceConfig->tokenMask_;
|
|
calTthreadTraceConfig.reg_mask = amdThreadTraceConfig->regMask_;
|
|
calTthreadTraceConfig.inst_mask = amdThreadTraceConfig->instMask_;
|
|
calTthreadTraceConfig.random_seed = amdThreadTraceConfig->randomSeed_;
|
|
calTthreadTraceConfig.user_data = amdThreadTraceConfig->userData_;
|
|
calTthreadTraceConfig.capture_mode = amdThreadTraceConfig->captureMode_;
|
|
if (amdThreadTraceConfig->isUserData_) {
|
|
calTthreadTraceConfig.is_user_data = CAL_TRUE;
|
|
}
|
|
else {
|
|
calTthreadTraceConfig.is_user_data = CAL_FALSE;
|
|
}
|
|
if (amdThreadTraceConfig->isWrapped_) {
|
|
calTthreadTraceConfig.is_wrapped = CAL_TRUE;
|
|
}
|
|
else {
|
|
calTthreadTraceConfig.is_wrapped = CAL_FALSE;
|
|
}
|
|
beginThreadTrace(gslThreadTrace,0,GSL_SHADER_TRACE_BYTES_WRITTEN,amdMemObjsNumThreadTrace,calTthreadTraceConfig);
|
|
}
|
|
else if (cmd.getState() == amd::ThreadTraceCommand::End) {
|
|
endThreadTrace(gslThreadTrace,2);
|
|
}
|
|
else if (cmd.getState() == amd::ThreadTraceCommand::Pause) {
|
|
pauseThreadTrace(2);
|
|
}
|
|
else if (cmd.getState() == amd::ThreadTraceCommand::Resume) {
|
|
resumeThreadTrace(2);
|
|
}
|
|
}
|
|
break;
|
|
}
|
|
default:
|
|
LogError("Unsupported command type for ThreadTrace!");
|
|
break;
|
|
}
|
|
}
|
|
|
|
void
|
|
VirtualGPU::submitAcquireExtObjects(amd::AcquireExtObjectsCommand& vcmd)
|
|
{
|
|
// Make sure VirtualGPU has an exclusive access to the resources
|
|
amd::ScopedLock lock(execution());
|
|
|
|
profilingBegin(vcmd);
|
|
|
|
for (std::vector<amd::Memory*>::const_iterator it = vcmd.getMemList().begin();
|
|
it != vcmd.getMemList().end(); it++) {
|
|
// amd::Memory object should never be NULL
|
|
assert(*it && "Memory object for interop is NULL");
|
|
gpu::Memory* memory = dev().getGpuMemory(*it);
|
|
|
|
// If resource is a shared copy of original resource, then
|
|
// runtime needs to copy data from original resource
|
|
(*it)->getInteropObj()->copyOrigToShared();
|
|
|
|
// Check if OpenCL has direct access to the interop memory
|
|
if (memory->interopType() == Memory::InteropDirectAccess) {
|
|
continue;
|
|
}
|
|
|
|
// Does interop use HW emulation?
|
|
if (memory->interopType() == Memory::InteropHwEmulation) {
|
|
static const bool Entire = true;
|
|
amd::Coord3D origin(0, 0, 0);
|
|
amd::Coord3D region(memory->size());
|
|
|
|
// Synchronize the object
|
|
if (!blitMgr().copyBuffer(*memory->interop(),
|
|
*memory, origin, origin, region, Entire)) {
|
|
LogError("submitAcquireExtObjects - Interop synchronization failed!");
|
|
vcmd.setStatus(CL_INVALID_OPERATION);
|
|
return;
|
|
}
|
|
}
|
|
}
|
|
|
|
profilingEnd(vcmd);
|
|
}
|
|
|
|
void
|
|
VirtualGPU::submitReleaseExtObjects(amd::ReleaseExtObjectsCommand& vcmd)
|
|
{
|
|
// Make sure VirtualGPU has an exclusive access to the resources
|
|
amd::ScopedLock lock(execution());
|
|
|
|
profilingBegin(vcmd);
|
|
|
|
for (std::vector<amd::Memory*>::const_iterator it = vcmd.getMemList().begin();
|
|
it != vcmd.getMemList().end(); it++) {
|
|
// amd::Memory object should never be NULL
|
|
assert(*it && "Memory object for interop is NULL");
|
|
gpu::Memory* memory = dev().getGpuMemory(*it);
|
|
|
|
// Check if we can use HW interop
|
|
if (memory->interopType() == Memory::InteropHwEmulation) {
|
|
static const bool Entire = true;
|
|
amd::Coord3D origin(0, 0, 0);
|
|
amd::Coord3D region(memory->size());
|
|
|
|
// Synchronize the object
|
|
if (!blitMgr().copyBuffer(*memory, *memory->interop(),
|
|
origin, origin, region, Entire)) {
|
|
LogError("submitReleaseExtObjects interop synchronization failed!");
|
|
vcmd.setStatus(CL_INVALID_OPERATION);
|
|
return;
|
|
}
|
|
}
|
|
else {
|
|
if (memory->interopType() != Memory::InteropDirectAccess) {
|
|
LogError("None interop release!");
|
|
}
|
|
}
|
|
|
|
// If resource is a shared copy of original resource, then
|
|
// runtime needs to copy data back to original resource
|
|
(*it)->getInteropObj()->copySharedToOrig();
|
|
}
|
|
|
|
profilingEnd(vcmd);
|
|
}
|
|
|
|
#if cl_amd_open_video
|
|
void
|
|
VirtualGPU::submitRunVideoProgram(amd::RunVideoProgramCommand& vcmd)
|
|
{
|
|
// Make sure VirtualGPU has an exclusive access to the resources
|
|
amd::ScopedLock lock(execution());
|
|
|
|
profilingBegin(vcmd);
|
|
|
|
switch(vcmd.type()) {
|
|
case CL_COMMAND_VIDEO_DECODE_AMD: {
|
|
CALprogramVideoDecode calVideoData;
|
|
cl_video_decode_data_amd* clVideoData =
|
|
static_cast<cl_video_decode_data_amd*>(vcmd.videoData());
|
|
|
|
//Convert cl_video_program_type_amd to CALvideoType
|
|
calVideoData.videoType.type = CAL_VIDEO_DECODE;
|
|
calVideoData.videoType.size = sizeof(CALprogramVideoDecode);
|
|
// Copy video data from CL to CAL structure
|
|
calVideoData.videoType.flags = clVideoData->video_type.flags;
|
|
calVideoData.picture_parameter_1 = clVideoData->picture_parameter_1;
|
|
calVideoData.picture_parameter_2 = clVideoData->picture_parameter_2;
|
|
calVideoData.picture_parameter_2_size = clVideoData->picture_parameter_2_size;
|
|
calVideoData.bitstream_data = clVideoData->bitstream_data;
|
|
calVideoData.bitstream_data_size = clVideoData->bitstream_data_size;
|
|
calVideoData.slice_data_control = clVideoData->slice_data_control;
|
|
calVideoData.slice_data_size = clVideoData->slice_data_control_size;
|
|
|
|
gpu::Memory* gpuMem = dev().getGpuMemory(&vcmd.memory());
|
|
|
|
GpuEvent event;
|
|
if (!runProgramVideoDecode(event, gpuMem->gslResource(),
|
|
reinterpret_cast<CALprogramVideoDecode&>(calVideoData))) {
|
|
vcmd.setStatus(CL_INVALID_OPERATION);
|
|
return;
|
|
}
|
|
// Mark source and destination as busy
|
|
gpuMem->setBusy(*this, event);
|
|
|
|
// Update the global GPU event and flush the DMA buffer,
|
|
// so runtime can synchronize UVD and SDMA engines
|
|
// @todo - do we need to flush here?
|
|
setGpuEvent(event, true);
|
|
}
|
|
break;
|
|
case CL_COMMAND_VIDEO_ENCODE_AMD: {
|
|
cl_video_encode_data_amd* clVideoData =
|
|
static_cast<cl_video_encode_data_amd*>(vcmd.videoData());
|
|
|
|
CAL_VID_ENCODE_PARAMETERS_H264 *ppicture_parameter =
|
|
reinterpret_cast<CAL_VID_ENCODE_PARAMETERS_H264*>(clVideoData->pictureParam2);
|
|
uint num_of_encode_task_input_buffer =
|
|
(uint)(clVideoData->pictureParam1Size);
|
|
CAL_VID_BUFFER_DESCRIPTION *encode_task_input_buffer_list =
|
|
reinterpret_cast<CAL_VID_BUFFER_DESCRIPTION *>(clVideoData->pictureParam1);
|
|
|
|
CAL_VID_BUFFER_DESCRIPTION *encode_task_input_buffer_listbackup =
|
|
new CAL_VID_BUFFER_DESCRIPTION [num_of_encode_task_input_buffer];
|
|
if (encode_task_input_buffer_listbackup == NULL) {
|
|
LogError("calCtxRunProgramVideo unable to allocate memory");
|
|
vcmd.setStatus(CL_OUT_OF_RESOURCES);
|
|
return;
|
|
}
|
|
|
|
// Entropy mode
|
|
cl_mem buffer_surface;
|
|
gpu::Memory* gpuMem;
|
|
|
|
// Convert cl_mem object to gslMemObject object
|
|
for (uint i = 0; i < num_of_encode_task_input_buffer; i++) {
|
|
encode_task_input_buffer_listbackup[i] = encode_task_input_buffer_list[i];
|
|
buffer_surface = (cl_mem)encode_task_input_buffer_list[i].buffer.pPicture;
|
|
gpuMem = dev().getGpuMemory(as_amd(buffer_surface));
|
|
encode_task_input_buffer_listbackup[i].buffer.pPicture = gpuMem->gslResource();
|
|
}
|
|
|
|
gpuMem = dev().getGpuMemory(&(vcmd.memory()));
|
|
|
|
// Encode the picture - call QueryTask to get the results...
|
|
GpuEvent event;
|
|
EncodeePicture(event, num_of_encode_task_input_buffer,
|
|
encode_task_input_buffer_listbackup, ppicture_parameter,
|
|
&(clVideoData->uiTaskID),
|
|
gpuMem->gslResource(), 0);
|
|
|
|
// Mark source and destination as busy
|
|
gpuMem->setBusy(*this, event);
|
|
|
|
// Update the global GPU event and flush the DMA buffer,
|
|
// so runtime can synchronize VCE and SDMA engines
|
|
// @todo - do we need to flush here?
|
|
setGpuEvent(event, true);
|
|
delete[] encode_task_input_buffer_listbackup;
|
|
}
|
|
break;
|
|
default:
|
|
vcmd.setStatus(CL_INVALID_VIDEO_CONFIG_TYPE_AMD);
|
|
LogError("Invalid video command type");
|
|
return;
|
|
}
|
|
profilingEnd(vcmd);
|
|
}
|
|
|
|
void
|
|
VirtualGPU::submitSetVideoSession(amd::SetVideoSessionCommand& cmd)
|
|
{
|
|
switch (cmd.operation()) {
|
|
case amd::SetVideoSessionCommand::CloseSession:
|
|
closeVideoEncodeSession(0);
|
|
destroyVCE(0);
|
|
break;
|
|
case amd::SetVideoSessionCommand::ConfigTypePictureControl:
|
|
getPictureConfig(
|
|
(CALEncodeGetPictureControlConfig*)(cmd.paramValue()), 0);
|
|
break;
|
|
case amd::SetVideoSessionCommand::ConfigTypeRateControl:
|
|
getRateControlConfig(
|
|
(CALEncodeGetRateControlConfig*)(cmd.paramValue()), 0);
|
|
break;
|
|
case amd::SetVideoSessionCommand::ConfigTypeMotionEstimation:
|
|
getMotionEstimationConfig(
|
|
(CALEncodeGetMotionEstimationConfig*)(cmd.paramValue()), 0);
|
|
break;
|
|
case amd::SetVideoSessionCommand::ConfigTypeRDO:
|
|
getRDOConfig(
|
|
(CALEncodeGetRDOControlConfig*)(cmd.paramValue()), 0);
|
|
break;
|
|
case amd::SetVideoSessionCommand::SendEncodeConfig:
|
|
SendConfig(
|
|
cmd.numBuffers(), (CAL_VID_CONFIG*)(cmd.paramValue()), 0);
|
|
break;
|
|
case amd::SetVideoSessionCommand::GetDeviceCapVCE: {
|
|
CALEncodeGetDeviceCAP EncodeCAP;
|
|
EncodeCAP.num_of_encode_cap = 1;
|
|
EncodeCAP.encode_caps = (CAL_VID_ENCODE_CAPS *)(cmd.paramValue());
|
|
getDeviceCAPVCE(0, cmd.numBuffers(), &EncodeCAP, 0);
|
|
}
|
|
break;
|
|
case amd::SetVideoSessionCommand::EncodeQueryTaskDescription:
|
|
QueryTaskDescription(
|
|
cmd.numBuffers(), cmd.paramValue2(),
|
|
(CAL_VID_OUTPUT_DESCRIPTION *)cmd.paramValue(), 0);
|
|
break;
|
|
case amd::SetVideoSessionCommand::ReleaseOutputResource:
|
|
ReleaseOutputResource(cmd.numBuffers(), 0);
|
|
break;
|
|
default:
|
|
break;
|
|
}
|
|
}
|
|
#endif // cl_amd_open_video
|
|
|
|
void
|
|
VirtualGPU::submitSignal(amd::SignalCommand & vcmd)
|
|
{
|
|
bool res = true;
|
|
amd::ScopedLock lock(execution());
|
|
profilingBegin(vcmd);
|
|
gpu::Memory* gpuMemory = dev().getGpuMemory(&vcmd.memory());
|
|
if (vcmd.type() == CL_COMMAND_WAIT_SIGNAL_AMD) {
|
|
res = WaitSignal(gpuMemory->gslResource(), vcmd.markerValue());
|
|
}
|
|
else if (vcmd.type() == CL_COMMAND_WRITE_SIGNAL_AMD) {
|
|
res = WriteSignal(gpuMemory->gslResource(), vcmd.markerValue(),
|
|
vcmd.markerOffset());
|
|
}
|
|
if(res != true) {
|
|
LogError("submitSignal failed");
|
|
vcmd.setStatus(CL_INVALID_OPERATION);
|
|
}
|
|
profilingEnd(vcmd);
|
|
}
|
|
|
|
void
|
|
VirtualGPU::submitMakeBuffersResident(amd::MakeBuffersResidentCommand & vcmd)
|
|
{
|
|
amd::ScopedLock lock(execution());
|
|
profilingBegin(vcmd);
|
|
std::vector<amd::Memory*> memObjects = vcmd.memObjects();
|
|
cl_uint numObjects = memObjects.size();
|
|
gslMemObject* pGSLMemObjects = new gslMemObject[numObjects];
|
|
|
|
for(cl_uint i = 0; i < numObjects; ++i)
|
|
{
|
|
gpu::Memory* gpuMemory = dev().getGpuMemory(memObjects[i]);
|
|
pGSLMemObjects[i] = gpuMemory->gslResource();
|
|
gpuMemory->syncCacheFromHost(*this);
|
|
}
|
|
|
|
cl_ulong* surfBusAddr = new cl_ulong[numObjects];
|
|
cl_ulong* markerBusAddr = new cl_ulong[numObjects];
|
|
bool res = MakeBuffersResident(
|
|
numObjects,
|
|
pGSLMemObjects,
|
|
(CALuint64*)surfBusAddr,
|
|
(CALuint64*)markerBusAddr);
|
|
if(res != true) {
|
|
LogError("MakeBuffersResident failed");
|
|
vcmd.setStatus(CL_INVALID_OPERATION);
|
|
}
|
|
else {
|
|
cl_bus_address_amd* busAddr = vcmd.busAddress();
|
|
for(cl_uint i = 0; i < numObjects; ++i)
|
|
{
|
|
busAddr[i].surface_bus_address = surfBusAddr[i];
|
|
busAddr[i].marker_bus_address = markerBusAddr[i];
|
|
}
|
|
}
|
|
delete[] pGSLMemObjects;
|
|
delete[] surfBusAddr;
|
|
delete[] markerBusAddr;
|
|
profilingEnd(vcmd);
|
|
}
|
|
|
|
|
|
bool
|
|
VirtualGPU::awaitCompletion(CommandBatch* cb, const amd::Event* waitingEvent)
|
|
{
|
|
bool found = false;
|
|
amd::Command* current;
|
|
amd::Command* head = cb->head_;
|
|
|
|
// Make sure that profiling is enabled
|
|
if (head->profilingInfo().enabled_) {
|
|
return profilingCollectResults(cb, waitingEvent);
|
|
}
|
|
// Mark the first command in the batch as running
|
|
if (head != NULL) {
|
|
head->setStatus(CL_RUNNING);
|
|
}
|
|
else {
|
|
return found;
|
|
}
|
|
|
|
// Wait for the last known GPU event
|
|
waitEventLock(cb);
|
|
|
|
while (NULL != head) {
|
|
current = head->getNext();
|
|
if (head->status() == CL_SUBMITTED) {
|
|
head->setStatus(CL_RUNNING);
|
|
head->setStatus(CL_COMPLETE);
|
|
}
|
|
else if (head->status() == CL_RUNNING) {
|
|
head->setStatus(CL_COMPLETE);
|
|
}
|
|
else if ((head->status() != CL_COMPLETE) && (current != NULL)) {
|
|
LogPrintfError("Unexpected command status - %d!", head->status());
|
|
}
|
|
|
|
// Check if it's a waiting command
|
|
if (head == waitingEvent) {
|
|
found = true;
|
|
}
|
|
|
|
head->release();
|
|
head = current;
|
|
}
|
|
|
|
return found;
|
|
}
|
|
|
|
void
|
|
VirtualGPU::flush(amd::Command* list, bool wait)
|
|
{
|
|
CommandBatch* cb = NULL;
|
|
bool gpuCommand = false;
|
|
|
|
for (uint i = 0; i < AllEngines; ++i) {
|
|
if (cal_.events_[i].isValid()) {
|
|
gpuCommand = true;
|
|
}
|
|
}
|
|
|
|
// If the batch doesn't have any GPU command and the list is empty
|
|
if (!gpuCommand && cbList_.empty()) {
|
|
state_.forceWait_ = true;
|
|
}
|
|
|
|
// Insert the current batch into a list
|
|
if (NULL != list) {
|
|
cb = new CommandBatch(list, cal()->events_, cal()->lastTS_);
|
|
}
|
|
|
|
for (uint i = 0; i < AllEngines; ++i) {
|
|
flushDMA(i);
|
|
// Reset event so we won't try to wait again,
|
|
// if runtime didn't submit any commands
|
|
// @note: it's safe to invalidate events, since
|
|
// we already saved them with the batch creation step above
|
|
cal_.events_[i].invalidate();
|
|
}
|
|
|
|
// Mark last TS as NULL, so runtime won't process empty batches with the old TS
|
|
cal_.lastTS_ = NULL;
|
|
if (NULL != cb) {
|
|
cbList_.push_back(cb);
|
|
}
|
|
|
|
wait |= state_.forceWait_;
|
|
// Loop through all outstanding command batches
|
|
while (!cbList_.empty()) {
|
|
CommandBatchList::const_iterator it = cbList_.begin();
|
|
// Check if command batch finished without a wait
|
|
bool finished = true;
|
|
for (uint i = 0; i < AllEngines; ++i) {
|
|
finished &= isDone(&(*it)->events_[i]);
|
|
}
|
|
if (finished || wait) {
|
|
// Wait for completion
|
|
awaitCompletion(*it);
|
|
// Release a command batch
|
|
delete *it;
|
|
// Remove command batch from the list
|
|
cbList_.pop_front();
|
|
}
|
|
else {
|
|
// Early exit if no finished
|
|
break;
|
|
}
|
|
}
|
|
state_.forceWait_ = false;
|
|
}
|
|
|
|
void
|
|
VirtualGPU::enableSyncedBlit() const
|
|
{
|
|
return blitMgr_->enableSynchronization();
|
|
}
|
|
|
|
void
|
|
VirtualGPU::releaseMemObjects()
|
|
{
|
|
for (GpuEvents::const_iterator it = gpuEvents_.begin();
|
|
it != gpuEvents_.end(); ++it) {
|
|
GpuEvent event = it->second;
|
|
waitForEvent(&event);
|
|
}
|
|
// Unbind all resources.So the queue won't have any bound mem objects
|
|
for (uint i = 0; i < MaxUavArguments; ++i) {
|
|
if (NULL != cal_.uavs_[i]) {
|
|
setUAVBuffer(i, 0, GSL_UAV_TYPE_UNKNOWN);
|
|
cal_.uavs_[i] = 0;
|
|
}
|
|
}
|
|
for (uint i = 0; i < MaxReadImage; ++i) {
|
|
if (NULL != cal_.readImages_[i]) {
|
|
setInput(i, 0);
|
|
cal_.readImages_[i] = 0;
|
|
}
|
|
}
|
|
for (uint i = 0; i < MaxConstBuffers; ++i) {
|
|
if (NULL != cal_.constBuffers_[i]) {
|
|
setConstantBuffer(i, 0, 0, 0);
|
|
cal_.constBuffers_[i] = 0;
|
|
}
|
|
}
|
|
//!@todo optimize unbind
|
|
if (numGrpCb_ != NULL) {
|
|
setConstantBuffer(SC_INFO_CONSTANTBUFFER, NULL, 0, 0);
|
|
}
|
|
gpuEvents_.clear();
|
|
}
|
|
|
|
void
|
|
VirtualGPU::setGpuEvent(
|
|
GpuEvent gpuEvent,
|
|
bool flush)
|
|
{
|
|
cal_.events_[engineID_] = gpuEvent;
|
|
|
|
// Flush current DMA buffer if requested
|
|
if (flush || GPU_FLUSH_ON_EXECUTION) {
|
|
flushDMA(engineID_);
|
|
}
|
|
}
|
|
|
|
void
|
|
VirtualGPU::flushDMA(uint engineID)
|
|
{
|
|
if (engineID == MainEngine) {
|
|
// Clear memory dependency state, since runtime flushes compute
|
|
// memoryDependency().clear();
|
|
//!@todo Keep memory dependency alive even if we flush DMA,
|
|
//! since only L2 cache is flushed in KMD frame,
|
|
//! but L1 still has to be invalidated.
|
|
}
|
|
|
|
//! \note Use CtxIsEventDone, so we won't flush compute for DRM engine
|
|
isDone(&cal_.events_[engineID]);
|
|
}
|
|
|
|
bool
|
|
VirtualGPU::waitAllEngines(CommandBatch* cb)
|
|
{
|
|
uint i;
|
|
GpuEvent* events; //!< GPU events for the batch
|
|
|
|
// If command batch is NULL then wait for the current
|
|
if (NULL == cb) {
|
|
events = cal_.events_;
|
|
}
|
|
else {
|
|
events = cb->events_;
|
|
}
|
|
|
|
bool earlyDone = true;
|
|
// The first loop is to flush all engines and/or check if
|
|
// engines are idle already
|
|
for (i = 0; i < AllEngines; ++i) {
|
|
earlyDone &= isDone(&events[i]);
|
|
}
|
|
|
|
// Release all transfer buffers on this command queue
|
|
releaseXferWrite();
|
|
|
|
// Rlease all pinned memory
|
|
releasePinnedMem();
|
|
|
|
// The second loop is to wait all engines
|
|
for (i = 0; i < AllEngines; ++i) {
|
|
waitForEvent(&events[i]);
|
|
}
|
|
|
|
return earlyDone;
|
|
}
|
|
|
|
void
|
|
VirtualGPU::waitEventLock(CommandBatch* cb)
|
|
{
|
|
// Make sure VirtualGPU has an exclusive access to the resources
|
|
amd::ScopedLock lock(execution());
|
|
|
|
bool earlyDone = waitAllEngines(cb);
|
|
|
|
// Free resource cache if we have too many entries
|
|
//! \note we do it here, when all engines are idle,
|
|
// because Vista/Win7 idles GPU on a resource destruction
|
|
static const size_t MinCacheEntries = 4096;
|
|
dev().resourceCache().free(MinCacheEntries);
|
|
|
|
// Find the timestamp object of the last command in the batch
|
|
if (cb->lastTS_ != NULL) {
|
|
// If earlyDone is TRUE, then CPU didn't wait for GPU.
|
|
// Thus the sync point between CPU and GPU is unclear and runtime
|
|
// will use an older adjustment value to maintain the same timeline
|
|
if (!earlyDone ||
|
|
//! \note Workaround for APU(s).
|
|
//! GPU-CPU timelines may go off too much, thus always
|
|
//! force calibration with the last batch in the list
|
|
(cbList_.size() <= 1) ||
|
|
(readjustTimeGPU_ == 0)) {
|
|
uint64_t startTimeStampGPU = 0;
|
|
uint64_t endTimeStampGPU = 0;
|
|
|
|
// Get the timestamp value of the last command in the batch
|
|
cb->lastTS_->value(&startTimeStampGPU, &endTimeStampGPU);
|
|
|
|
uint64_t endTimeStampCPU = amd::Os::timeNanos();
|
|
// Make sure the command batch has a valid GPU TS
|
|
if (!GPU_RAW_TIMESTAMP) {
|
|
// Adjust the base time by the execution time
|
|
readjustTimeGPU_ = endTimeStampGPU - endTimeStampCPU;
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
void
|
|
VirtualGPU::validateScratchBuffer(const Kernel* kernel)
|
|
{
|
|
// Check if the device allocated more registers than the old setup
|
|
if (dev().scratch(hwRing())->regNum_ > scratchRegNum_) {
|
|
const std::vector<Memory*>& mems = dev().scratch(hwRing())->memObjs_;
|
|
for (uint i = 0; i < mems.size(); ++i) {
|
|
// Setup scratch buffer
|
|
setScratchBuffer(mems[i]->gslResource(), i);
|
|
}
|
|
scratchRegNum_ = dev().scratch(hwRing())->regNum_;
|
|
}
|
|
}
|
|
|
|
bool
|
|
VirtualGPU::setActiveKernelDesc(
|
|
const amd::NDRangeContainer& sizes,
|
|
const Kernel* kernel)
|
|
{
|
|
bool result = true;
|
|
CALimage calImage = kernel->calImage();
|
|
|
|
GslKernelDesc* desc = gslKernels_[calImage];
|
|
|
|
validateScratchBuffer(kernel);
|
|
|
|
// Early exit
|
|
if ((activeKernelDesc_ == desc) && (desc != NULL)) {
|
|
return result;
|
|
}
|
|
|
|
// Does the kernel descriptor for this virtual device exist?
|
|
if (desc == NULL) {
|
|
desc = allocKernelDesc(kernel, calImage);
|
|
if (desc == NULL) {
|
|
return false;
|
|
}
|
|
gslKernels_[calImage] = desc;
|
|
}
|
|
|
|
// Update UAV mask if it has a different set of bits
|
|
if ((activeKernelDesc_ == NULL) ||
|
|
(activeKernelDesc_->uavMask_.mask[0] != desc->uavMask_.mask[0])) {
|
|
setUavMask(desc->uavMask_);
|
|
}
|
|
|
|
// Set the descriptor as active
|
|
activeKernelDesc_ = desc;
|
|
|
|
// Program the samplers defined in the kernel
|
|
if (!kernel->setInternalSamplers(*this)) {
|
|
result = false;
|
|
}
|
|
|
|
// Bind global HW constant buffers
|
|
if (!kernel->bindGlobalHwCb(*this, desc)) {
|
|
result = false;
|
|
}
|
|
|
|
if (result) {
|
|
// Set program in GSL
|
|
setProgram(desc->func_);
|
|
|
|
// Update internal constant buffer
|
|
if (desc->intCb_ != 0) {
|
|
setConstants(desc->intCb_);
|
|
}
|
|
}
|
|
|
|
return result;
|
|
}
|
|
|
|
bool
|
|
VirtualGPU::allocConstantBuffers()
|
|
{
|
|
// Allocate/reallocate constant buffers
|
|
const static size_t MinCbSize = 64 * Ki;
|
|
uint i;
|
|
|
|
// Create/reallocate constant buffer resources
|
|
for (i = 0; i < MaxConstBuffersArguments; ++i) {
|
|
ConstBuffer* constBuf = new ConstBuffer(*this, ((MinCbSize +
|
|
ConstBuffer::VectorSize - 1) / ConstBuffer::VectorSize));
|
|
|
|
if ((constBuf != NULL) && constBuf->create()) {
|
|
addConstBuffer(constBuf);
|
|
}
|
|
else {
|
|
// We failed to create a constant buffer
|
|
delete constBuf;
|
|
return false;
|
|
}
|
|
}
|
|
|
|
// 8xx workaround for num workgroups
|
|
if (!dev().settings().siPlus_) {
|
|
numGrpCb_ = new ConstBuffer(*this, ((MinCbSize +
|
|
ConstBuffer::VectorSize - 1) / ConstBuffer::VectorSize));
|
|
if ((numGrpCb_ == NULL) || !numGrpCb_->create()) {
|
|
LogError("Could not allocate num groups constant buffer!");
|
|
return false;
|
|
}
|
|
}
|
|
|
|
return true;
|
|
}
|
|
|
|
VirtualGPU::GslKernelDesc*
|
|
VirtualGPU::allocKernelDesc(const Kernel* kernel, CALimage calImage)
|
|
{
|
|
// Sanity checks
|
|
assert(kernel != NULL);
|
|
GslKernelDesc* desc = new GslKernelDesc;
|
|
|
|
if (desc != NULL) {
|
|
memset(desc, 0, sizeof(GslKernelDesc));
|
|
|
|
if (kernel->calImage() != calImage) {
|
|
desc->image_ = calImage;
|
|
}
|
|
|
|
if (!moduleLoad(calImage, &desc->func_, &desc->intCb_, &desc->uavMask_)) {
|
|
LogPrintfError("calModuleLoad failed for \"%s\" kernel!",
|
|
kernel->name().c_str());
|
|
delete desc;
|
|
return NULL;
|
|
}
|
|
|
|
//
|
|
// prime the func info in the func object.
|
|
//
|
|
getFuncInfo(desc->func_, GSL_COMPUTE_PROGRAM, &desc->funcInfo_);
|
|
}
|
|
|
|
if (kernel->argSize() > slots_.size()) {
|
|
slots_.resize(kernel->argSize());
|
|
}
|
|
|
|
return desc;
|
|
}
|
|
|
|
void
|
|
VirtualGPU::freeKernelDesc(VirtualGPU::GslKernelDesc* desc)
|
|
{
|
|
if (desc) {
|
|
if (gslKernelDesc() == desc) {
|
|
// Clear active kernel desc
|
|
activeKernelDesc_ = NULL;
|
|
setProgram(0);
|
|
}
|
|
|
|
if (desc->image_ != 0) {
|
|
// Free CAL image
|
|
free(desc->image_);
|
|
}
|
|
|
|
if (desc->func_ != 0) {
|
|
if (desc->intCb_ != 0) {
|
|
destroyConstants(desc->intCb_);
|
|
}
|
|
destroyProgramObject(desc->func_);
|
|
}
|
|
|
|
delete desc;
|
|
}
|
|
}
|
|
|
|
void
|
|
VirtualGPU::profilingBegin(amd::Command& command, bool drmProfiling)
|
|
{
|
|
// Is profiling enabled?
|
|
if (command.profilingInfo().enabled_) {
|
|
// Allocate a timestamp object from the cache
|
|
TimeStamp* ts = tsCache_->allocTimeStamp();
|
|
if (NULL == ts) {
|
|
return;
|
|
}
|
|
// Save the TimeStamp object in the current OCL event
|
|
command.setData(ts);
|
|
currTs_ = ts;
|
|
}
|
|
}
|
|
|
|
void
|
|
VirtualGPU::profilingEnd(amd::Command& command)
|
|
{
|
|
// Get the TimeStamp object associated witht the current command
|
|
TimeStamp* ts = reinterpret_cast<TimeStamp*>(command.data());
|
|
if (ts != NULL) {
|
|
// Check if the command actually did any GPU submission
|
|
if (ts->isValid()) {
|
|
cal_.lastTS_ = ts;
|
|
}
|
|
else {
|
|
// Destroy the TimeStamp object
|
|
tsCache_->freeTimeStamp(ts);
|
|
command.setData(NULL);
|
|
}
|
|
}
|
|
}
|
|
|
|
bool
|
|
VirtualGPU::profilingCollectResults(CommandBatch* cb, const amd::Event* waitingEvent)
|
|
{
|
|
bool found = false;
|
|
amd::Command* current;
|
|
amd::Command* first = cb->head_;
|
|
|
|
// If the command list is, empty then exit
|
|
if (NULL == first) {
|
|
return found;
|
|
}
|
|
|
|
// Wait for the last known GPU events on all engines
|
|
waitEventLock(cb);
|
|
|
|
// Find the CPU base time of the entire command batch execution
|
|
uint64_t endTimeStamp = amd::Os::timeNanos();
|
|
uint64_t startTimeStamp = endTimeStamp;
|
|
|
|
// First step, walk the command list to find the first valid command
|
|
//! \note The batch may have empty markers at the beginning.
|
|
//! So the start/end of the empty commands is equal to
|
|
//! the start of the first valid command in the batch.
|
|
first = cb->head_;
|
|
while (NULL != first) {
|
|
// Get the TimeStamp object associated witht the current command
|
|
TimeStamp* ts = reinterpret_cast<TimeStamp*>(first->data());
|
|
|
|
if (ts != NULL) {
|
|
ts->value(&startTimeStamp, &endTimeStamp);
|
|
endTimeStamp -= readjustTimeGPU_;
|
|
startTimeStamp -= readjustTimeGPU_;
|
|
// Assign to endTimeStamp the start of the first valid command
|
|
endTimeStamp = startTimeStamp;
|
|
break;
|
|
}
|
|
first = first->getNext();
|
|
}
|
|
|
|
// Second step, walk the command list to construct the time line
|
|
first = cb->head_;
|
|
while (NULL != first) {
|
|
// Get the TimeStamp object associated witht the current command
|
|
TimeStamp* ts = reinterpret_cast<TimeStamp*>(first->data());
|
|
|
|
current = first->getNext();
|
|
|
|
if (ts != NULL) {
|
|
ts->value(&startTimeStamp, &endTimeStamp);
|
|
endTimeStamp -= readjustTimeGPU_;
|
|
startTimeStamp -= readjustTimeGPU_;
|
|
// Destroy the TimeStamp object
|
|
tsCache_->freeTimeStamp(ts);
|
|
first->setData(NULL);
|
|
}
|
|
else {
|
|
// For empty commands start/end is equal to
|
|
// the end of the last valid command
|
|
startTimeStamp = endTimeStamp;
|
|
}
|
|
|
|
// Update the command status with the proper timestamps
|
|
if (first->status() == CL_SUBMITTED) {
|
|
first->setStatus(CL_RUNNING, startTimeStamp);
|
|
first->setStatus(CL_COMPLETE, endTimeStamp);
|
|
}
|
|
else if (first->status() == CL_RUNNING) {
|
|
first->setStatus(CL_COMPLETE, endTimeStamp);
|
|
}
|
|
else if ((first->status() != CL_COMPLETE) && (current != NULL)) {
|
|
LogPrintfError("Unexpected command status - %d!", first->status());
|
|
}
|
|
|
|
// Do we wait this event?
|
|
if (first == waitingEvent) {
|
|
found = true;
|
|
}
|
|
|
|
first->release();
|
|
first = current;
|
|
}
|
|
|
|
return found;
|
|
}
|
|
|
|
bool
|
|
VirtualGPU::addVmMemory(const Resource* resource)
|
|
{
|
|
if (dev().heap()->isVirtual()) {
|
|
uint* cnt = &cal_.memCount_;
|
|
(*cnt)++;
|
|
// Reallocate array if kernel uses more memory objects
|
|
if (numVmMems_ < *cnt) {
|
|
gslMemObject* tmp;
|
|
tmp = new gslMemObject [*cnt];
|
|
if (tmp == NULL) {
|
|
return false;
|
|
}
|
|
memcpy(tmp, vmMems_, sizeof(gslMemObject) * numVmMems_);
|
|
delete [] vmMems_;
|
|
vmMems_ = tmp;
|
|
numVmMems_ = *cnt;
|
|
}
|
|
vmMems_[*cnt - 1] = resource->gslResource();
|
|
}
|
|
|
|
return true;
|
|
}
|
|
|
|
void
|
|
VirtualGPU::profileEvent(EngineType engine, bool type) const
|
|
{
|
|
if (NULL == currTs_) {
|
|
return;
|
|
}
|
|
if (type) {
|
|
currTs_->begin((engine == SdmaEngine) ? true : false);
|
|
}
|
|
else {
|
|
currTs_->end((engine == SdmaEngine) ? true : false);
|
|
}
|
|
}
|
|
|
|
void
|
|
VirtualGPU::processMemObjectsHSA(
|
|
const amd::Kernel& kernel,
|
|
const_address params,
|
|
bool nativeMem)
|
|
{
|
|
static const bool NoAlias = true;
|
|
const HSAILKernel& hsaKernel = static_cast<const HSAILKernel&>
|
|
(*(kernel.getDeviceKernel(dev(), NoAlias)));
|
|
|
|
// Mark the tracker with a new kernel,
|
|
// so we can avoid checks of the aliased objects
|
|
memoryDependency().newKernel();
|
|
|
|
const amd::KernelSignature& signature = kernel.signature();
|
|
const amd::KernelParameters& kernelParams = kernel.parameters();
|
|
|
|
// Check all parameters for the current kernel
|
|
for (size_t i = 0; i < signature.numParameters(); ++i) {
|
|
const amd::KernelParameterDescriptor& desc = signature.at(i);
|
|
const HSAILKernel::Argument* arg = hsaKernel.argument(i);
|
|
Memory* memory = NULL;
|
|
bool readOnly = false;
|
|
amd::Memory* svmMem = NULL;
|
|
|
|
// Find if current argument is a buffer
|
|
if ((desc.type_ == T_POINTER) && (arg->addrQual_ != HSAIL_ADDRESS_LOCAL)) {
|
|
if (kernelParams.boundToSvmPointer(dev(), params, i)) {
|
|
svmMem = amd::SvmManager::FindSvmBuffer(
|
|
*reinterpret_cast<void* const*>(params + desc.offset_));
|
|
if (!svmMem) {
|
|
//!\todo Do we have to sync cache coherency or wait for SDMA?
|
|
flushCUCaches();
|
|
break;
|
|
}
|
|
}
|
|
|
|
if (nativeMem) {
|
|
memory = *reinterpret_cast<Memory* const*>(params + desc.offset_);
|
|
}
|
|
else if (*reinterpret_cast<amd::Memory* const*>
|
|
(params + desc.offset_) != NULL) {
|
|
if (NULL == svmMem) {
|
|
memory = dev().getGpuMemory(*reinterpret_cast<amd::Memory* const*>
|
|
(params + desc.offset_));
|
|
}
|
|
else {
|
|
memory = dev().getGpuMemory(svmMem);
|
|
}
|
|
// Synchronize data with other memory instances if necessary
|
|
memory->syncCacheFromHost(*this);
|
|
}
|
|
|
|
if (memory != NULL) {
|
|
//!@todo The code below can handle images only,
|
|
//! but the qualifier is broken anyway
|
|
readOnly = (desc.accessQualifier_ ==
|
|
CL_KERNEL_ARG_ACCESS_READ_ONLY) ? true : false;
|
|
// Validate memory for a dependency in the queue
|
|
memoryDependency().validate(*this, memory, readOnly);
|
|
}
|
|
}
|
|
}
|
|
|
|
if (hsaKernel.prog().globalStore() != NULL) {
|
|
const static bool IsReadOnly = false;
|
|
// Validate global store for a dependency in the queue
|
|
memoryDependency().validate(*this, hsaKernel.prog().globalStore(), IsReadOnly);
|
|
}
|
|
}
|
|
|
|
amd::Memory*
|
|
VirtualGPU::createBufferFromImage(amd::Memory& amdImage) const
|
|
{
|
|
amd::Memory* mem = new(amdImage.getContext())
|
|
amd::Buffer(amdImage, 0, 0, amdImage.getSize());
|
|
|
|
if ((mem != NULL) && !mem->create()) {
|
|
mem->release();
|
|
}
|
|
|
|
return mem;
|
|
}
|
|
|
|
void
|
|
VirtualGPU::writeVQueueHeader(VirtualGPU& hostQ, uint64_t kernelTable)
|
|
{
|
|
const static bool Wait = true;
|
|
vqHeader_->kernel_table = kernelTable;
|
|
virtualQueue_->writeRawData(hostQ, sizeof(AmdVQueueHeader), vqHeader_, !Wait);
|
|
}
|
|
|
|
} // namespace gpu
|