e5e635f9bf
This addresses the rocprof hang seen with direct dispatch. The workaround queues the handler back if any of the signal value in the batch is not decremented. To rememmber the last position in the list, we save the parsed command in the current timestamp struct. Change-Id: I02959e463cfe3cee83c54808ffd6e6f48f43b4e8
528 lines
22 KiB
C++
528 lines
22 KiB
C++
/* Copyright (c) 2008-present Advanced Micro Devices, Inc.
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in
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all copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
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THE SOFTWARE. */
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#ifndef GPUVIRTUAL_HPP_
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#define GPUVIRTUAL_HPP_
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#include "device/gpu/gpudefs.hpp"
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#include "device/gpu/gpuconstbuf.hpp"
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#include "device/gpu/gpuprintf.hpp"
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#include "device/gpu/gputimestamp.hpp"
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#include "device/gpu/gpusched.hpp"
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#include "platform/commandqueue.hpp"
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#include "device/blit.hpp"
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#include "device/gpu/gpudebugger.hpp"
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/*! \addtogroup GPU GPU Resource Implementation
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* @{
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*/
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//! GPU Device Implementation
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namespace gpu {
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class Device;
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class Kernel;
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class Memory;
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class CalCounterReference;
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class VirtualGPU;
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class Program;
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class BlitManager;
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class ThreadTrace;
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class HSAILKernel;
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//! Virtual GPU
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class VirtualGPU : public device::VirtualDevice, public CALGSLContext {
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public:
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struct CommandBatch : public amd::HeapObject {
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amd::Command* head_; //!< Command batch head
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GpuEvent events_[AllEngines]; //!< Last known GPU events
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TimeStamp* lastTS_; //!< TS associated with command batch
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//! Constructor
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CommandBatch(amd::Command* head, //!< Command batch head
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const GpuEvent* events, //!< HW events on all engines
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TimeStamp* lastTS //!< Last TS in command batch
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)
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: head_(head), lastTS_(lastTS) {
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memcpy(&events_, events, AllEngines * sizeof(GpuEvent));
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}
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};
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//! The virtual GPU states
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union State {
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struct {
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uint boundGlobal_ : 1; //!< Global buffer was bound
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uint profiling_ : 1; //!< Profiling is enabled
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uint forceWait_ : 1; //!< Forces wait in flush()
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uint boundCb_ : 1; //!< Constant buffer was bound
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uint boundPrintf_ : 1; //!< Printf buffer was bound
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uint hsailKernel_ : 1; //!< True if HSAIL kernel was used
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};
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uint value_;
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State() : value_(0) {}
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};
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//! CAL descriptor for the GPU virtual device
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struct CalVirtualDesc : public amd::EmbeddedObject {
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gslDomain3D gridBlock; //!< size of a block of data
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gslDomain3D gridSize; //!< size of 'blocks' to execute
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gslDomain3D partialGridBlock; //!< Partial grid block
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CALuint localSize; //!< size of OpenCL Local Memory in bytes
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uint memCount_; //!< Memory objects count
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GpuEvent events_[AllEngines]; //!< Last known GPU events
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uint iterations_; //!< Number of iterations for the execution
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TimeStamp* lastTS_; //!< Last timestamp executed on Virtual GPU
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gslMemObject constBuffers_[MaxConstBuffers]; //!< Constant buffer names
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gslMemObject uavs_[MaxUavArguments]; //!< UAV bindings
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gslMemObject readImages_[MaxReadImage]; //!< Read images
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uint32_t samplersState_[MaxSamplers]; //!< State of all samplers
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};
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typedef std::vector<ConstBuffer*> constbufs_t;
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//! GSL descriptor for the GPU kernel, specific to the virtual device
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struct GslKernelDesc : public amd::HeapObject {
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CALimage image_; //!< CAL image for the program
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gslProgramObject func_; //!< GSL program object
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gslMemObject intCb_; //!< Internal constant buffer
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};
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struct ResourceSlot {
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union State {
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struct {
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uint bound_ : 1; //!< Resource is bound
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uint constant_ : 1; //!< Resource is a constant
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};
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uint value_;
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State() : value_(0) {}
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};
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State state_; //!< slot's state
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const Memory* memory_; //!< GPU memory object
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ResourceSlot() : memory_(NULL) {}
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//! Copy constructor for the kernel argument
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ResourceSlot(const ResourceSlot& data) { *this = data; }
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//! Overloads operator=
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ResourceSlot& operator=(const ResourceSlot& data) {
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state_.value_ = data.state_.value_;
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memory_ = data.memory_;
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return *this;
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}
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};
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class MemoryDependency : public amd::EmbeddedObject {
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public:
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//! Default constructor
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MemoryDependency()
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: memObjectsInQueue_(NULL), endMemObjectsInQueue_(0), numMemObjectsInQueue_(0), maxMemObjectsInQueue_(0) {}
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~MemoryDependency() { delete[] memObjectsInQueue_; }
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//! Creates memory dependecy structure
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bool create(size_t numMemObj);
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//! Notify the tracker about new kernel
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void newKernel() { endMemObjectsInQueue_ = numMemObjectsInQueue_; }
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//! Validates memory object on dependency
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void validate(VirtualGPU& gpu, const Memory* memory, bool readOnly);
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//! Clear memory dependency
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void clear(bool all = true);
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private:
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struct MemoryState {
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uint64_t start_; //! Busy memory start address
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uint64_t end_; //! Busy memory end address
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bool readOnly_; //! Current GPU state in the queue
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};
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MemoryState* memObjectsInQueue_; //!< Memory object state in the queue
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size_t endMemObjectsInQueue_; //!< End of mem objects in the queue
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size_t numMemObjectsInQueue_; //!< Number of mem objects in the queue
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size_t maxMemObjectsInQueue_; //!< Maximum number of mem objects in the queue
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};
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class DmaFlushMgmt : public amd::EmbeddedObject {
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public:
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DmaFlushMgmt(const Device& dev);
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// Resets DMA command buffer workload
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void resetCbWorkload(const Device& dev);
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// Finds split size for the current dispatch
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void findSplitSize(const Device& dev, //!< GPU device object
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uint64_t threads, //!< Total number of execution threads
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uint instructions //!< Number of ALU instructions
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);
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// Returns TRUE if DMA command buffer is ready for a flush
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bool isCbReady(VirtualGPU& gpu, //!< Virtual GPU object
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uint64_t threads, //!< Total number of execution threads
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uint instructions //!< Number of ALU instructions
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);
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// Returns dispatch split size
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uint dispatchSplitSize() const { return dispatchSplitSize_; }
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private:
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uint64_t maxDispatchWorkload_; //!< Maximum number of operations for a single dispatch
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uint64_t maxCbWorkload_; //!< Maximum number of operations for DMA command buffer
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uint64_t cbWorkload_; //!< Current number of operations in DMA command buffer
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uint aluCnt_; //!< All ALUs on the chip
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uint dispatchSplitSize_; //!< Dispath split size in elements
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};
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typedef std::vector<ResourceSlot> ResourceSlots;
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public:
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explicit VirtualGPU(Device& device);
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bool create(bool profiling, uint rtCUs = amd::CommandQueue::RealTimeDisabled,
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uint deviceQueueSize = 0,
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amd::CommandQueue::Priority priority = amd::CommandQueue::Priority::Normal);
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~VirtualGPU();
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void submitReadMemory(amd::ReadMemoryCommand& vcmd);
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void submitWriteMemory(amd::WriteMemoryCommand& vcmd);
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void submitCopyMemory(amd::CopyMemoryCommand& vcmd);
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void submitCopyMemoryP2P(amd::CopyMemoryP2PCommand& vcmd) {}
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void submitMapMemory(amd::MapMemoryCommand& vcmd);
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void submitUnmapMemory(amd::UnmapMemoryCommand& vcmd);
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void submitKernel(amd::NDRangeKernelCommand& vcmd);
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bool submitKernelInternal(
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const amd::NDRangeContainer& sizes, //!< Workload sizes
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const amd::Kernel& kernel, //!< Kernel for execution
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const_address parameters, //!< Parameters for the kernel
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bool nativeMem = true, //!< Native memory objects
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amd::Event* enqueueEvent = NULL //!< Event provided in the enqueue kernel command
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);
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bool submitKernelInternalHSA(
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const amd::NDRangeContainer& sizes, //!< Workload sizes
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const amd::Kernel& kernel, //!< Kernel for execution
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const_address parameters, //!< Parameters for the kernel
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bool nativeMem = true, //!< Native memory objects
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amd::Event* enqueueEvent = NULL //!< Event provided in the enqueue kernel command
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);
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void submitNativeFn(amd::NativeFnCommand& vcmd);
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void submitFillMemory(amd::FillMemoryCommand& vcmd);
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void submitMigrateMemObjects(amd::MigrateMemObjectsCommand& cmd);
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void submitMarker(amd::Marker& vcmd);
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void submitAcquireExtObjects(amd::AcquireExtObjectsCommand& vcmd);
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void submitReleaseExtObjects(amd::ReleaseExtObjectsCommand& vcmd);
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void submitPerfCounter(amd::PerfCounterCommand& vcmd);
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void submitThreadTraceMemObjects(amd::ThreadTraceMemObjectsCommand& cmd);
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void submitThreadTrace(amd::ThreadTraceCommand& vcmd);
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void submitSignal(amd::SignalCommand& vcmd);
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void submitMakeBuffersResident(amd::MakeBuffersResidentCommand& vcmd);
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virtual void submitSvmFreeMemory(amd::SvmFreeMemoryCommand& cmd);
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virtual void submitSvmCopyMemory(amd::SvmCopyMemoryCommand& cmd);
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virtual void submitSvmFillMemory(amd::SvmFillMemoryCommand& cmd);
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virtual void submitSvmMapMemory(amd::SvmMapMemoryCommand& cmd);
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virtual void submitSvmUnmapMemory(amd::SvmUnmapMemoryCommand& cmd);
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virtual void submitTransferBufferFromFile(amd::TransferBufferFileCommand& cmd);
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void releaseMemory(gslMemObject gslResource, bool wait = true);
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void releaseKernel(CALimage calImage);
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void flush(amd::Command* list = NULL, bool wait = false);
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//! Returns GPU device object associated with this kernel
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const Device& dev() const { return gpuDevice_; }
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//! Returns CAL descriptor of the virtual device
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const CalVirtualDesc* cal() const { return &cal_; }
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//! Returns active kernel descriptor for this virtual device
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const GslKernelDesc* gslKernelDesc() const { return activeKernelDesc_; }
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//! Returns a GPU event, associated with GPU memory
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GpuEvent* getGpuEvent(const gslMemObject gslMem //!< GSL mem object
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) {
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return &gpuEvents_[gslMem];
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}
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//! Assigns a GPU event, associated with GPU memory
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void assignGpuEvent(const gslMemObject gslMem, //!< GSL mem object
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GpuEvent gpuEvent) {
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gpuEvents_[gslMem] = gpuEvent;
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}
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//! Set the kernel as active
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bool setActiveKernelDesc(const amd::NDRangeContainer& sizes, //!< kernel execution work sizes
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const Kernel* kernel //!< GPU kernel object
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);
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//! Set the last known GPU event
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void setGpuEvent(GpuEvent gpuEvent, //!< GPU event for tracking
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bool flush = false //!< TRUE if flush is required
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);
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//! Flush DMA buffer on the specified engine
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void flushDMA(uint engineID //!< Engine ID for DMA flush
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);
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//! Wait for all engines on this Virtual GPU
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//! Returns TRUE if CPU didn't wait for GPU
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bool waitAllEngines(CommandBatch* cb = NULL //!< Command batch
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);
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//! Waits for the latest GPU event with a lock to prevent multiple entries
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void waitEventLock(CommandBatch* cb //!< Command batch
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);
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//! Returns a resource associated with the constant buffer
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const ConstBuffer* cb(uint idx) const { return constBufs_[idx]; }
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//! Adds CAL objects into the constant buffer vector
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void addConstBuffer(ConstBuffer* cb) { constBufs_.push_back(cb); }
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constbufs_t constBufs_; //!< constant buffers
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//! Start the command profiling
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void profilingBegin(amd::Command& command, //!< Command queue object
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bool drmProfiling = false //!< Measure DRM time
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);
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//! End the command profiling
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void profilingEnd(amd::Command& command);
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//! Attach profiler
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void profilerAttach(bool enable = false) {}
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//! Collect the profiling results
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bool profilingCollectResults(CommandBatch* cb, //!< Command batch
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const amd::Event* waitingEvent //!< Waiting event
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);
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//! Adds a memory handle into the GSL memory array for Virtual Heap
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bool addVmMemory(const Memory* memory //!< GPU memory object
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);
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//! Adds a stage write buffer into a list
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void addXferWrite(Memory& memory);
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//! Adds a pinned memory object into a map
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void addPinnedMem(amd::Memory* mem);
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//! Release pinned memory objects
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void releasePinnedMem();
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//! Finds if pinned memory is cached
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amd::Memory* findPinnedMem(void* addr, size_t size);
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//! Returns gsl memory object for VM
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const gslMemObject* vmMems() const { return vmMems_; }
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//! Get the PrintfDbg object
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PrintfDbg& printfDbg() const { return *printfDbg_; }
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//! Get the PrintfDbgHSA object
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PrintfDbgHSA& printfDbgHSA() const { return *printfDbgHSA_; }
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//! Enables synchronized transfers
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void enableSyncedBlit() const;
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//! Checks if profiling is enabled
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bool profiling() const { return state_.profiling_; }
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//! Returns memory dependency class
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MemoryDependency& memoryDependency() { return memoryDependency_; }
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//! Returns hsaQueueMem_
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const Memory* hsaQueueMem() const { return hsaQueueMem_; }
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//! Returns DMA flush management structure
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const DmaFlushMgmt& dmaFlushMgmt() const { return dmaFlushMgmt_; }
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//! Releases GSL memory objects allocated on this queue
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void releaseMemObjects(bool scratch = true);
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//! Returns the HW ring used on this virtual device
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uint hwRing() const { return hwRing_; }
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//! Returns current timestamp object for profiling
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TimeStamp* currTs() const { return cal_.lastTS_; }
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//! Returns virtual queue object for device enqueuing
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Memory* vQueue() const { return virtualQueue_; }
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//! Update virtual queue header
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void writeVQueueHeader(VirtualGPU& hostQ, uint64_t kernelTable);
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//! Returns TRUE if virtual queue was successfully allocatted
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bool createVirtualQueue(uint deviceQueueSize //!< Device queue size
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);
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EngineType engineID_; //!< Engine ID for this VirtualGPU
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ResourceSlots slots_; //!< Resource slots for kernel arguments
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State state_; //!< virtual GPU current state
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CalVirtualDesc cal_; //!< CAL virtual device descriptor
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void flushCuCaches(HwDbgGpuCacheMask cache_mask); //!< flush/invalidate SQ cache
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protected:
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virtual void profileEvent(EngineType engine, bool type) const;
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//! Creates buffer object from image
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amd::Memory* createBufferFromImage(
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amd::Memory& amdImage //! The parent image object(untiled images only)
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);
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private:
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typedef std::unordered_map<CALimage, GslKernelDesc*> GslKernels;
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typedef std::unordered_map<gslMemObject, GpuEvent> GpuEvents;
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//! Finds total amount of necessary iterations
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inline void findIterations(const amd::NDRangeContainer& sizes, //!< Original workload sizes
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const amd::NDRange& local, //!< Local workgroup size
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amd::NDRange& groups, //!< Calculated workgroup sizes
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amd::NDRange& remainder, //!< Calculated remainder sizes
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size_t& extra //!< Amount of extra executions for remainder
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);
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//! Setups workloads for the current iteration
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inline void setupIteration(
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uint iteration, //!< Current iteration
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const amd::NDRangeContainer& sizes, //!< Original workload sizes
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Kernel& gpuKernel, //!< GPU kernel
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amd::NDRange& global, //!< Global size for the current iteration
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amd::NDRange& offsets, //!< Offsets for the current iteration
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amd::NDRange& local, //!< Local sizes for the current iteration
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amd::NDRange& groups, //!< Group sizes for the current iteration
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amd::NDRange& groupOffset, //!< Group offsets for the current iteration
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amd::NDRange& divider, //!< Group divider
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amd::NDRange& remainder, //!< Remain workload
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size_t extra //!< Extra groups
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);
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//! Allocates constant buffers
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bool allocConstantBuffers();
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//! Allocates CAL kernel descriptor of the virtual device
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GslKernelDesc* allocKernelDesc(const Kernel* kernel, //!< Kernel object
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CALimage calImage); //!< CAL image
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//! Frees CAL kernel descriptor of the virtual device
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void freeKernelDesc(GslKernelDesc* desc);
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bool gslOpen(uint nEngines, gslEngineDescriptor* engines, uint32_t rtCUs);
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void gslDestroy();
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//! Releases stage write buffers
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void releaseXferWrite();
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//! Allocate hsaQueueMem_
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bool allocHsaQueueMem();
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//! Awaits a command batch with a waiting event
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bool awaitCompletion(CommandBatch* cb, //!< Command batch for to wait
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const amd::Event* waitingEvent = NULL //!< A waiting event
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);
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//! Validates the scratch buffer memory for a specified kernel
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void validateScratchBuffer(const Kernel* kernel //!< Kernel for validaiton
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);
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//! Detects memory dependency for HSAIL kernels and flushes caches
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bool processMemObjectsHSA(const amd::Kernel& kernel, //!< AMD kernel object for execution
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const_address params, //!< Pointer to the param's store
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bool nativeMem, //!< Native memory objects
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std::vector<const Memory*>* memList //!< Memory list for KMD tracking
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);
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//! Common function for fill memory used by both svm Fill and non-svm fill
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bool fillMemory(cl_command_type type, //!< the command type
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amd::Memory* amdMemory, //!< memory object to fill
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const void* pattern, //!< pattern to fill the memory
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size_t patternSize, //!< pattern size
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const amd::Coord3D& origin, //!< memory origin
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const amd::Coord3D& size //!< memory size for filling
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);
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bool copyMemory(cl_command_type type, //!< the command type
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amd::Memory& srcMem, //!< source memory object
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amd::Memory& dstMem, //!< destination memory object
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bool entire, //!< flag of entire memory copy
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const amd::Coord3D& srcOrigin, //!< source memory origin
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const amd::Coord3D& dstOrigin, //!< destination memory object
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const amd::Coord3D& size, //!< copy size
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const amd::BufferRect& srcRect, //!< region of source for copy
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const amd::BufferRect& dstRect //!< region of destination for copy
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);
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void buildKernelInfo(const HSAILKernel& hsaKernel, //!< hsa kernel
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hsa_kernel_dispatch_packet_t* aqlPkt, //!< aql packet for dispatch
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HwDbgKernelInfo& kernelInfo, //!< kernel info for the dispatch
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amd::Event* enqueueEvent //!< Event provided in the enqueue kernel command
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);
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void assignDebugTrapHandler(const DebugToolInfo& dbgSetting, //!< debug settings
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HwDbgKernelInfo& kernelInfo //!< kernel info for the dispatch
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);
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GslKernels gslKernels_; //!< GSL kernel descriptors
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GslKernelDesc* activeKernelDesc_; //!< active GSL kernel descriptors
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GpuEvents gpuEvents_; //!< GPU events
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Device& gpuDevice_; //!< physical GPU device
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PrintfDbg* printfDbg_; //!< GPU printf implemenation
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PrintfDbgHSA* printfDbgHSA_; //!< HSAIL printf implemenation
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TimeStampCache* tsCache_; //!< TimeStamp cache
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MemoryDependency memoryDependency_; //!< Memory dependency class
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gslMemObject* vmMems_; //!< Array of GSL memories for VM mode
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uint numVmMems_; //!< Number of entries in VM mem array
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DmaFlushMgmt dmaFlushMgmt_; //!< DMA flush management
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std::list<Memory*> xferWriteBuffers_; //!< Stage write buffers
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std::list<amd::Memory*> pinnedMems_; //!< Pinned memory list
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typedef std::list<CommandBatch*> CommandBatchList;
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CommandBatchList cbList_; //!< List of command batches
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uint hwRing_; //!< HW ring used on this virtual device
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uint64_t readjustTimeGPU_; //!< Readjust time between GPU and CPU timestamps
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TimeStamp* currTs_; //!< current timestamp for command
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AmdVQueueHeader* vqHeader_; //!< Sysmem copy for virtual queue header
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Memory* virtualQueue_; //!< Virtual device queue
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Memory* schedParams_; //!< The scheduler parameters
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uint schedParamIdx_; //!< Index in the scheduler parameters buffer
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uint deviceQueueSize_; //!< Device queue size
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uint maskGroups_; //!< The number of mask groups processed in the scheduler by one thread
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Memory* hsaQueueMem_; //!< Memory for the amd_queue_t object
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bool profileEnabled_; //!< Profiling is enabled
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};
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/*@}*/} // namespace gpu
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#endif /*GPUVIRTUAL_HPP_*/
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