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276 lines
9.6 KiB
C++
276 lines
9.6 KiB
C++
/*******************************************************************************
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*
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* MIT License
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*
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* Copyright (C) 2021-2025 Advanced Micro Devices, Inc. All rights reserved.
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*
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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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*
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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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*
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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 THE
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* SOFTWARE.
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*
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*******************************************************************************/
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#ifndef HIPTENSOR_REDUCTION_RESOURCE_IMPL_HPP
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#define HIPTENSOR_REDUCTION_RESOURCE_IMPL_HPP
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#include "reduction_resource.hpp"
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#include "data_types.hpp"
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#include "utils.hpp"
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namespace hiptensor
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{
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ReductionResource::ReductionResource()
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: HipResource()
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, mDeviceA(Base::allocDevice(0))
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, mDeviceC(Base::allocDevice(0))
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, mDeviceD(Base::allocDevice(0))
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, mHostA(Base::allocHost(0))
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, mHostC(Base::allocHost(0))
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, mHostD(Base::allocHost(0))
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, mCurrentDataType(HIPTENSOR_R_32F)
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, mCurrentInputElementCount(0)
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, mCurrentInputAllocByte(0)
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, mCurrentOutputElementCount(0)
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, mCurrentOutputAllocByte(0)
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{
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}
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ReductionResource::ReductionResource(ReductionResource&& rhs)
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: HipResource()
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, mDeviceA(std::move(rhs.mDeviceA))
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, mDeviceC(std::move(rhs.mDeviceC))
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, mDeviceD(std::move(rhs.mDeviceD))
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, mHostA(std::move(rhs.mHostA))
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, mHostC(std::move(rhs.mHostC))
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, mHostD(std::move(rhs.mHostD))
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, mCurrentDataType(rhs.mCurrentDataType)
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, mCurrentInputElementCount(rhs.mCurrentInputElementCount)
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, mCurrentInputAllocByte(rhs.mCurrentInputAllocByte)
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, mCurrentOutputElementCount(rhs.mCurrentOutputElementCount)
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, mCurrentOutputAllocByte(rhs.mCurrentOutputAllocByte)
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{
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}
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void ReductionResource::setupStorage(ProblemDims const& dimSizes,
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ProblemDims const& outputSizes,
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hiptensorDataType_t dataType)
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{
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// check buffer for A
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auto requiredInputElementCount = getProduct(dimSizes);
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auto requiredInputMemorySize = requiredInputElementCount * hiptensorDataTypeSize(dataType);
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bool needFillDataA = false;
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if(requiredInputMemorySize > mCurrentInputAllocByte)
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{
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Base::reallocDeviceHostPair(mDeviceA, mHostA, requiredInputMemorySize);
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mCurrentInputAllocByte = requiredInputMemorySize;
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needFillDataA = true;
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}
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if(mCurrentDataType != dataType || mCurrentInputElementCount < requiredInputElementCount)
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{
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needFillDataA = true;
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}
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mCurrentInputElementCount = requiredInputElementCount;
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// check buffer for C
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bool needFillDataC = false;
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auto requiredOutputElementCount
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= getProduct(outputSizes); // returns 1 for empty container which is correct
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auto requiredOutputMemorySize
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= requiredOutputElementCount * hiptensorDataTypeSize(dataType);
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if(requiredOutputMemorySize > mCurrentOutputAllocByte)
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{
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Base::reallocDeviceHostPair(mDeviceC, mHostC, requiredOutputMemorySize);
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Base::reallocDeviceHostPair(mDeviceD, mHostD, requiredOutputMemorySize);
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Base::reallocDeviceHostPair(mDeviceReference, mHostReference, requiredOutputMemorySize);
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mCurrentOutputAllocByte = requiredOutputMemorySize;
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needFillDataC = true;
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}
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if(mCurrentDataType != dataType || mCurrentOutputElementCount < requiredOutputElementCount)
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{
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needFillDataC = true;
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}
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mCurrentOutputElementCount = requiredOutputElementCount;
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mCurrentDataType = dataType;
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const uint32_t seedA = 17;
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const uint32_t seedC = 19;
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if(needFillDataA)
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{
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fillRand(hostA(), deviceA(), dataType, getCurrentInputElementCount(), seedA);
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}
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if(needFillDataC)
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{
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fillRand(hostC(), deviceC(), dataType, getCurrentOutputElementCount(), seedC);
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}
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fillConstant(hostD(), deviceD(), dataType, getCurrentOutputElementCount(), 0);
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copyData(hostReference(), hostD(), getCurrentOutputMemorySize());
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}
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void ReductionResource::setupWorkspace(uint64_t workspaceSize)
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{
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reallocDevice(mDeviceWorkspace, workspaceSize);
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}
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void ReductionResource::reset()
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{
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Base::reallocDeviceHostPair(mDeviceA, mHostA, 0);
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Base::reallocDeviceHostPair(mDeviceC, mHostC, 0);
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Base::reallocDeviceHostPair(mDeviceD, mHostD, 0);
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Base::reallocDeviceHostPair(mDeviceReference, mHostReference, 0);
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mCurrentDataType = HIPTENSOR_R_32F;
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mCurrentInputElementCount = 0;
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mCurrentInputAllocByte = 0;
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mCurrentOutputElementCount = 0;
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mCurrentOutputAllocByte = 0;
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}
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void ReductionResource::fillRand(HostPtrT& hostBuf,
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DevicePtrT& deviceBuf,
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hiptensorDataType_t dataType,
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size_t elementCount,
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uint32_t seed)
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{
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if(dataType == HIPTENSOR_R_16F)
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{
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fillLaunchKernel<float16_t>((float16_t*)deviceBuf.get(), elementCount, seed);
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}
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else if(dataType == HIPTENSOR_R_16BF)
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{
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fillLaunchKernel<bfloat16_t>((bfloat16_t*)deviceBuf.get(), elementCount, seed);
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}
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else if(dataType == HIPTENSOR_R_32F)
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{
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fillLaunchKernel<float32_t>((float32_t*)deviceBuf.get(), elementCount, seed);
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}
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else if(dataType == HIPTENSOR_R_64F)
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{
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fillLaunchKernel<float64_t>((float64_t*)deviceBuf.get(), elementCount, seed);
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}
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Base::copyData(hostBuf, deviceBuf, elementCount * hiptensorDataTypeSize(dataType));
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}
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void ReductionResource::fillConstant(HostPtrT& hostBuf,
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DevicePtrT& deviceBuf,
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hiptensorDataType_t dataType,
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size_t elementCount,
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double value)
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{
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if(dataType == HIPTENSOR_R_16F)
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{
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fillValLaunchKernel<float16_t>(
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(float16_t*)deviceBuf.get(), elementCount, (float16_t)value);
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}
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else if(dataType == HIPTENSOR_R_16BF)
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{
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fillValLaunchKernel<bfloat16_t>(
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(bfloat16_t*)deviceBuf.get(), elementCount, (bfloat16_t)value);
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}
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else if(dataType == HIPTENSOR_R_32F)
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{
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fillValLaunchKernel<float32_t>(
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(float32_t*)deviceBuf.get(), elementCount, (float32_t)value);
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}
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else if(dataType == HIPTENSOR_R_64F)
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{
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fillValLaunchKernel<float64_t>(
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(float64_t*)deviceBuf.get(), elementCount, (float64_t)value);
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}
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Base::copyData(hostBuf, deviceBuf, elementCount * hiptensorDataTypeSize(dataType));
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}
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void ReductionResource::copyOutputToHost()
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{
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Base::copyData(hostD(), deviceD(), getCurrentOutputMemorySize());
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}
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void ReductionResource::copyReferenceToDevice()
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{
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Base::copyData(deviceReference(), hostReference(), getCurrentOutputMemorySize());
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}
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size_t ReductionResource::getCurrentInputElementCount() const
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{
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return mCurrentInputElementCount;
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}
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size_t ReductionResource::getCurrentInputMemorySize() const
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{
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return mCurrentInputElementCount * hiptensorDataTypeSize(mCurrentDataType);
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}
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size_t ReductionResource::getCurrentOutputElementCount() const
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{
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return mCurrentOutputElementCount;
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}
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size_t ReductionResource::getCurrentOutputMemorySize() const
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{
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return mCurrentOutputElementCount * hiptensorDataTypeSize(mCurrentDataType);
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}
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auto ReductionResource::hostA() -> HostPtrT&
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{
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return mHostA;
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}
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auto ReductionResource::hostC() -> HostPtrT&
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{
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return mHostC;
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}
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auto ReductionResource::hostD() -> HostPtrT&
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{
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return mHostD;
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}
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auto ReductionResource::hostReference() -> HostPtrT&
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{
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return mHostReference;
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}
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auto ReductionResource::deviceA() -> DevicePtrT&
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{
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return mDeviceA;
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}
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auto ReductionResource::deviceC() -> DevicePtrT&
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{
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return mDeviceC;
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}
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auto ReductionResource::deviceD() -> DevicePtrT&
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{
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return mDeviceD;
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}
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auto ReductionResource::deviceReference() -> DevicePtrT&
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{
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return mDeviceReference;
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}
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auto ReductionResource::deviceWorkspace() -> DevicePtrT&
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{
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return mDeviceWorkspace;
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}
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} // namespace hiptensor
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#endif // HIPTENSOR_REDUCTION_RESOURCE_IMPL_HPP
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