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TheRock/rocm-systems/projects/clr/rocclr/device/devkernel.hpp
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Flatten subprojects into a single base monorepo
2026-09-02 16:34:47 -07:00

413 lines
14 KiB
C++

/*
* Copyright (c) Advanced Micro Devices, Inc., or its affiliates.
*
* SPDX-License-Identifier: MIT
*/
#pragma once
#include "platform/context.hpp"
#include "platform/object.hpp"
#include "platform/memory.hpp"
namespace amd {
class Device;
class KernelSignature;
class NDRange;
struct KernelParameterDescriptor {
enum Desc {
Value = 0,
MemoryObject = 1,
ReferenceObject = 2,
ValueObject = 3,
ImageObject = 4,
SamplerObject = 5,
QueueObject = 6,
HiddenNone = 7,
HiddenGlobalOffsetX = 8,
HiddenGlobalOffsetY = 9,
HiddenGlobalOffsetZ = 10,
HiddenPrintfBuffer = 11,
HiddenDefaultQueue = 12,
HiddenCompletionAction = 13,
HiddenMultiGridSync = 14,
HiddenHeap = 15,
HiddenHostcallBuffer = 16,
HiddenBlockCountX = 17,
HiddenBlockCountY = 18,
HiddenBlockCountZ = 19,
HiddenGroupSizeX = 20,
HiddenGroupSizeY = 21,
HiddenGroupSizeZ = 22,
HiddenRemainderX = 23,
HiddenRemainderY = 24,
HiddenRemainderZ = 25,
HiddenGridDims = 26,
HiddenPrivateBase = 27,
HiddenSharedBase = 28,
HiddenQueuePtr = 29,
HiddenDynamicLdsSize = 30,
HiddenLast = 31,
MaxSize = 32,
};
clk_value_type_t type_; //!< The parameter's type
size_t offset_; //!< Its offset in the parameter's stack
size_t size_; //!< Its size in bytes
union InfoData {
struct {
uint32_t oclObject_ : 6; //!< OCL object type
uint32_t readOnly_ : 1; //!< OCL object is read only, applied to memory only
uint32_t rawPointer_ : 1; //!< Arguments have a raw GPU VA
uint32_t defined_ : 1; //!< The argument was defined by the app
uint32_t hidden_ : 1; //!< It's a hidden argument
uint32_t shared_ : 1; //!< Dynamic shared memory
uint32_t isReadOnlyByCompiler : 1; //!< Compiler determine it is read only
uint32_t arrayIndex_ : 20; //!< Index in the objects array or LDS alignment
};
uint32_t allValues_;
InfoData() : allValues_(0) {}
} info_;
cl_kernel_arg_address_qualifier addressQualifier_ =
CL_KERNEL_ARG_ADDRESS_PRIVATE; //!< Argument's address qualifier
cl_kernel_arg_access_qualifier accessQualifier_ =
CL_KERNEL_ARG_ACCESS_NONE; //!< Argument's access qualifier
cl_kernel_arg_type_qualifier typeQualifier_; //!< Argument's type qualifier
std::string name_; //!< The parameter's name in the source
std::string typeName_; //!< Argument's type name
uint32_t alignment_; //!< Argument's alignment
};
} // namespace amd
//! Runtime handle structure for device enqueue
struct RuntimeHandle {
uint64_t kernel_handle; //!< Pointer to amd_kernel_code_s or kernel_descriptor_t
uint32_t private_segment_size; //!< From PRIVATE_SEGMENT_FIXED_SIZE
uint32_t group_segment_size; //!< From GROUP_SEGMENT_FIXED_SIZE
};
#include "amd_comgr/amd_comgr.h"
// for Code Object V3
enum class ArgField : uint8_t {
Name = 0,
TypeName = 1,
Size = 2,
Align = 3,
ValueKind = 4,
PointeeAlign = 5,
AddrSpaceQual = 6,
AccQual = 7,
ActualAccQual = 8,
IsConst = 9,
IsRestrict = 10,
IsVolatile = 11,
IsPipe = 12,
Offset = 13,
MaxSize = 14
};
enum class AttrField : uint8_t {
ReqdWorkGroupSize = 0,
WorkGroupSizeHint = 1,
VecTypeHint = 2,
RuntimeHandle = 3,
MaxSize = 4,
};
enum class CodePropField : uint8_t {
KernargSegmentSize = 0,
GroupSegmentFixedSize = 1,
PrivateSegmentFixedSize = 2,
KernargSegmentAlign = 3,
WavefrontSize = 4,
NumSGPRs = 5,
NumVGPRs = 6,
MaxFlatWorkGroupSize = 7,
IsDynamicCallStack = 8,
IsXNACKEnabled = 9,
NumSpilledSGPRs = 10,
NumSpilledVGPRs = 11,
MaxSize = 12,
};
// for Code Object V3
enum class KernelField : uint8_t {
SymbolName = 0,
ReqdWorkGroupSize = 1,
WorkGroupSizeHint = 2,
VecTypeHint = 3,
DeviceEnqueueSymbol = 4,
KernargSegmentSize = 5,
GroupSegmentFixedSize = 6,
PrivateSegmentFixedSize = 7,
KernargSegmentAlign = 8,
WavefrontSize = 9,
NumSGPRs = 10,
NumVGPRs = 11,
MaxFlatWorkGroupSize = 12,
NumSpilledSGPRs = 13,
NumSpilledVGPRs = 14,
Kind = 15,
WgpMode = 16,
UniformWrokGroupSize = 17,
ClusterDims = 18,
MaxSize = 19
};
namespace amd {
namespace hsa {
namespace loader {
class Symbol;
} // namespace loader
namespace code {
namespace Kernel {
class Metadata;
} // namespace Kernel
} // namespace code
} // namespace hsa
} // namespace amd
namespace amd::device {
class Program;
//! Printf info structure
struct PrintfInfo {
std::string fmtString_; //!< formated string for printf
std::vector<uint> arguments_; //!< passed arguments to the printf() call
};
//! \class DeviceKernel, which will contain the common fields for any device
class Kernel {
public:
typedef std::vector<amd::KernelParameterDescriptor> parameters_t;
//! \struct The device kernel workgroup info structure
struct WorkGroupInfo : public amd::EmbeddedObject {
size_t size_; //!< kernel workgroup size
size_t compileSize_[3]; //!< kernel compiled workgroup size
size_t clusterSize_[3]; //!< cluster dims size
uint64_t localMemSize_; //!< amount of used local memory
size_t preferredSizeMultiple_; //!< preferred multiple for launch
uint64_t privateMemSize_; //!< amount of used private memory
size_t scratchRegs_; //!< amount of used scratch registers
size_t wavefrontPerSIMD_; //!< number of wavefronts per SIMD
size_t wavefrontSize_; //!< number of threads per wavefront
size_t availableGPRs_; //!< GPRs available to the program
size_t usedGPRs_; //!< GPRs used by the program
size_t availableSGPRs_; //!< SGPRs available to the program
size_t usedSGPRs_; //!< SGPRs used by the program
size_t availableVGPRs_; //!< VGPRs addressable to the program per thread in DWORDs
size_t usedVGPRs_; //!< VGPRs used by the program per thread in DWORDs
size_t availableLDSSize_; //!< available LDS size
size_t usedLDSSize_; //!< used LDS size
size_t availableStackSize_; //!< available stack size
size_t usedStackSize_; //!< used stack size
size_t compileSizeHint_[3]; //!< kernel compiled workgroup size hint
size_t wavesPerSimdHint_; //!< waves per simd hit
size_t constMemSize_; //!< size of user-allocated constant memory
size_t maxDynamicSharedSizeBytes_;
std::string compileVecTypeHint_; //!< kernel compiled vector type hint
int maxOccupancyPerCu_; //!< Max occupancy per compute unit in threads
bool isWGPMode_; //!< kernel compiled in WGP/cumode
bool uniformWorkGroupSize_; //!< uniform work group size option
bool hasClusterAttr_; //!< cluster metadata present in code object
uint8_t groupMemCarveout_; //!< LDS carveout
};
//! Default constructor
Kernel(const amd::Device& dev, const std::string& name, const Program& prog);
//! Default destructor
virtual ~Kernel();
//! Returns the kernel info structure
const WorkGroupInfo* workGroupInfo() const { return &workGroupInfo_; }
//! Returns the kernel info structure for filling in
WorkGroupInfo* workGroupInfo() { return &workGroupInfo_; }
//! Returns the kernel signature
const amd::KernelSignature& signature() const { return *signature_; }
//! Returns the kernel name
const std::string& name() const { return name_; }
//! Initializes the kernel parameters for the abstraction layer
bool createSignature(const parameters_t& params, uint32_t numParameters, uint32_t version);
void setUniformWorkGroupSize(bool u) { workGroupInfo_.uniformWorkGroupSize_ = u; }
bool getUniformWorkGroupSize() const { return workGroupInfo_.uniformWorkGroupSize_; }
void setReqdWorkGroupSize(size_t x, size_t y, size_t z) {
workGroupInfo_.compileSize_[0] = x;
workGroupInfo_.compileSize_[1] = y;
workGroupInfo_.compileSize_[2] = z;
}
size_t getReqdWorkGroupSize(int dim) { return workGroupInfo_.compileSize_[dim]; }
void setWorkGroupSizeHint(size_t x, size_t y, size_t z) {
workGroupInfo_.compileSizeHint_[0] = x;
workGroupInfo_.compileSizeHint_[1] = y;
workGroupInfo_.compileSizeHint_[2] = z;
}
size_t getWorkGroupSizeHint(int dim) const { return workGroupInfo_.compileSizeHint_[dim]; }
void setClusterSize(size_t x, size_t y, size_t z) {
workGroupInfo_.hasClusterAttr_ = true;
workGroupInfo_.clusterSize_[0] = x;
workGroupInfo_.clusterSize_[1] = y;
workGroupInfo_.clusterSize_[2] = z;
}
size_t getClusterSize(int dim) const { return workGroupInfo_.clusterSize_[dim]; }
//! Returns whether cluster_dims was specified in the object metadata. If false,
//! it was not specified, and getClusterSize() would return the default implicit value
bool hasClusterAttr() const { return workGroupInfo_.hasClusterAttr_; }
//! Returns GPU device object, associated with this kernel
const amd::Device& device() const { return dev_; }
void setVecTypeHint(const std::string& hint) { workGroupInfo_.compileVecTypeHint_ = hint; }
const std::string& RuntimeHandle() const { return runtimeHandle_; }
void setRuntimeHandle(const std::string& handle) { runtimeHandle_ = handle; }
//! Return the build log
const std::string& buildLog() const { return buildLog_; }
const std::unordered_map<size_t, size_t>& patch() const { return patchReferences_; }
//! Returns TRUE if kernel uses dynamic parallelism
bool dynamicParallelism() const { return (flags_.dynamicParallelism_) ? true : false; }
//! set dynamic parallelism flag
void setDynamicParallelFlag(bool flag) { flags_.dynamicParallelism_ = flag; }
//! Returns TRUE if kernel is internal kernel
bool isInternalKernel() const { return (flags_.internalKernel_) ? true : false; }
//! set internal kernel flag
void setInternalKernelFlag(bool flag) { flags_.internalKernel_ = flag; }
//! Return TRUE if kernel uses images
bool imageEnable() const { return (flags_.imageEna_) ? true : false; }
//! Return TRUE if kernel wirtes images
bool imageWrite() const { return (flags_.imageWriteEna_) ? true : false; }
//! Returns TRUE if it's a HSA kernel
bool hsa() const { return (flags_.hsa_) ? true : false; }
//! Return printf info array
const std::vector<PrintfInfo>& printfInfo() const { return printf_; }
//! Finds local workgroup size
void FindLocalWorkSize(size_t workDim, //!< Work dimension
const amd::NDRange& gblWorkSize, //!< Global work size
amd::NDRange& lclWorkSize //!< Calculated local work size
) const;
const uint64_t KernelCodeHandle() const { return kernelCodeHandle_; }
const uint32_t WorkgroupGroupSegmentByteSize() const { return workgroupGroupSegmentByteSize_; }
void SetWorkgroupGroupSegmentByteSize(uint32_t size) { workgroupGroupSegmentByteSize_ = size; }
const uint32_t WorkitemPrivateSegmentByteSize() const { return workitemPrivateSegmentByteSize_; }
void SetWorkitemPrivateSegmentByteSize(uint32_t size) { workitemPrivateSegmentByteSize_ = size; }
const bool KernalHasDynamicCallStack() const { return kernelHasDynamicCallStack_; }
const uint32_t KernargSegmentByteSize() const { return kernargSegmentByteSize_; }
void SetKernargSegmentByteSize(uint32_t size) { kernargSegmentByteSize_ = size; }
const uint32_t KernargSegmentAlignment() const { return kernargSegmentAlignment_; }
void SetKernargSegmentAlignment(uint32_t align) { kernargSegmentAlignment_ = align; }
void SetSymbolName(const std::string& name) { symbolName_ = name; }
void SetKernelKind(const std::string& kind) {
kind_ = (kind == "init") ? Init : ((kind == "fini") ? Fini : Normal);
}
void SetWGPMode(bool wgpMode) { workGroupInfo_.isWGPMode_ = wgpMode; }
bool isInitKernel() const { return kind_ == Init; }
bool isFiniKernel() const { return kind_ == Fini; }
protected:
//! Initializes the abstraction layer kernel parameters
void InitParameters(const amd_comgr_metadata_node_t kernelMD);
//! Retrieve kernel attribute and code properties metadata
bool GetAttrCodePropMetadata();
//! Retrieve the printf string metadata
bool GetPrintfStr(std::vector<std::string>* printfStr);
//! Returns the kernel symbol name
const std::string& symbolName() const { return symbolName_; }
//! Returns the kernel code object version
const uint32_t codeObjectVer() const { return prog().codeObjectVer(); }
//! Initializes HSAIL Printf metadata and info for LC
void InitPrintf(const std::vector<std::string>& printfInfoStrings);
//! Returns program associated with this kernel
const Program& prog() const { return prog_; }
const amd::Device& dev_; //!< GPU device object
std::string name_; //!< kernel name
const Program& prog_; //!< Reference to the parent program
std::string symbolName_; //!< kernel symbol name
WorkGroupInfo workGroupInfo_; //!< device kernel info structure
amd::KernelSignature* signature_; //!< kernel signature
std::string buildLog_; //!< build log
std::vector<PrintfInfo> printf_; //!< Format strings for GPU printf support
std::string runtimeHandle_; //!< Runtime handle for context loader
uint64_t kernelCodeHandle_ = 0; //!< Kernel code handle (aka amd_kernel_code_t)
uint32_t workgroupGroupSegmentByteSize_ = 0;
uint32_t workitemPrivateSegmentByteSize_ = 0;
uint32_t kernargSegmentByteSize_ = 0; //!< Size of kernel argument buffer
uint32_t kernargSegmentAlignment_ = 0;
bool kernelHasDynamicCallStack_ = 0;
union Flags {
struct {
uint imageEna_ : 1; //!< Kernel uses images
uint imageWriteEna_ : 1; //!< Kernel uses image writes
uint dynamicParallelism_ : 1; //!< Dynamic parallelism enabled
uint internalKernel_ : 1; //!< True: internal kernel
uint hsa_ : 1; //!< HSA kernel
};
uint value_;
Flags() : value_(0) {}
} flags_;
private:
//! Disable default copy constructor
Kernel(const Kernel&);
//! Disable operator=
Kernel& operator=(const Kernel&);
std::unordered_map<size_t, size_t> patchReferences_; //!< Patch table for references
enum KernelKind { Normal = 0, Init = 1, Fini = 2 };
KernelKind kind_{Normal}; //!< Kernel kind, is normal unless specified otherwise
};
amd_comgr_status_t getMetaBuf(const amd_comgr_metadata_node_t meta, std::string* str);
} // namespace amd::device