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TheRock/rocm-libraries/projects/hiptensor/test/03_reduction/reduction_resource.hpp
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/*******************************************************************************
*
* MIT License
*
* Copyright (C) 2021-2025 Advanced Micro Devices, Inc. All rights reserved.
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in
* all copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*
*******************************************************************************/
#pragma once
#include <memory>
#include <tuple>
#include "hip_resource.hpp"
#include "singleton.hpp"
// ReductionResource class is intended to manage a shared pool of resources for
// testing hiptensor reduction kernels on the GPU.
//
// It minimizes the memory handling overhead for launching thousands of GPU
// kernels by allowing re-use of existing memory allocations. Memory is only
// re-allocated as necessary to satisfy minimum size requirements.
//
// The interface indicates memory ownership by this class and shall only be
// used to access for read/write purposes.
//
// Currently uses HIP as the backend for device allocation.
namespace hiptensor
{
struct ReductionResource : public HipResource, public LazySingleton<ReductionResource>
{
// For static initialization
friend std::unique_ptr<ReductionResource> std::make_unique<ReductionResource>();
using Base = HipResource;
public:
using DevicePtrT = Base::DevicePtrT;
using HostPtrT = Base::HostPtrT;
// N, C, W, H
using ProblemDims = std::vector<std::size_t>;
private: // No public instantiation except make_unique.
// No copy
ReductionResource();
ReductionResource(const ReductionResource&) = delete;
ReductionResource& operator=(const ReductionResource&) = delete;
public:
ReductionResource(ReductionResource&&);
virtual ~ReductionResource() = default;
void setupStorage(ProblemDims const& dimSizes,
ProblemDims const& outputSizes,
hiptensorDataType_t dataType);
void setupWorkspace(uint64_t workspaceSize);
void fillRand(HostPtrT& hostBuf,
DevicePtrT& deviceBuf,
hiptensorDataType_t dataType,
size_t elementCount,
uint32_t seed);
void fillConstant(HostPtrT& hostBuf,
DevicePtrT& deviceBuf,
hiptensorDataType_t dataType,
size_t elementCount,
double value);
void copyOutputToHost();
void copyReferenceToDevice();
HostPtrT& hostA();
HostPtrT& hostC();
HostPtrT& hostD();
HostPtrT& hostReference();
DevicePtrT& deviceA();
DevicePtrT& deviceC();
DevicePtrT& deviceD();
DevicePtrT& deviceReference();
DevicePtrT& deviceWorkspace();
size_t getCurrentInputElementCount() const;
size_t getCurrentInputMemorySize() const;
size_t getCurrentOutputElementCount() const;
size_t getCurrentOutputMemorySize() const;
void reset() final;
protected:
DevicePtrT mDeviceA;
DevicePtrT mDeviceC;
DevicePtrT mDeviceD;
DevicePtrT mDeviceReference;
DevicePtrT mDeviceWorkspace;
HostPtrT mHostA;
HostPtrT mHostC;
HostPtrT mHostD;
HostPtrT mHostReference;
hiptensorDataType_t mCurrentDataType; /**< Type size of element of A/C */
size_t mCurrentInputElementCount; /**< Element count of A */
size_t mCurrentInputAllocByte; /**< Allocated size of memory */
size_t mCurrentOutputElementCount; /**< Element count of C */
size_t mCurrentOutputAllocByte; /**< Allocated size of memory */
};
} // namespace hiptensor