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/*************************************************************************
* Copyright (c) 2022 Advanced Micro Devices, Inc. All rights reserved.
*
* See LICENSE.txt for license information
************************************************************************/
#include "CollectiveArgs.hpp"
#include "PrepDataFuncs.hpp"
#include <cstdio>
#include <hip/hip_runtime.h>
namespace RcclUnitTesting
{
ErrCode DefaultPrepareDataFunc(CollectiveArgs &collArgs)
{
switch (collArgs.funcType)
{
case ncclCollBroadcast: return DefaultPrepData_Broadcast(collArgs);
case ncclCollReduce: return DefaultPrepData_Reduce(collArgs, false);
case ncclCollAllGather: return DefaultPrepData_Gather(collArgs, true);
case ncclCollReduceScatter: return DefaultPrepData_ReduceScatter(collArgs);
case ncclCollAllReduce: return DefaultPrepData_Reduce(collArgs, true);
case ncclCollGather: return DefaultPrepData_Gather(collArgs, false);
case ncclCollScatter: return DefaultPrepData_Scatter(collArgs);
case ncclCollAllToAll: return DefaultPrepData_AllToAll(collArgs);
case ncclCollAllToAllv: return DefaultPrepData_AllToAllv(collArgs);
case ncclCollSend: return DefaultPrepData_Send(collArgs);
case ncclCollRecv: return DefaultPrepData_Recv(collArgs);
default:
ERROR("Unknown func type %d\n", collArgs.funcType);
return TEST_FAIL;
}
}
ErrCode CheckAllocation(CollectiveArgs const& collArgs)
{
if (collArgs.numInputElements > collArgs.numInputElementsAllocated)
{
ERROR("Number of input elements (%lu) exceeds the number of allocated input elements (%lu)\n",
collArgs.numInputElements, collArgs.numInputElementsAllocated);
return TEST_FAIL;
}
if (collArgs.numOutputElements > collArgs.numOutputElementsAllocated)
{
ERROR("Number of output elements (%lu) exceeds the number of allocated output elements (%lu)\n",
collArgs.numOutputElements, collArgs.numOutputElementsAllocated);
return TEST_FAIL;
}
return TEST_SUCCESS;
}
ErrCode DefaultPrepData_Broadcast(CollectiveArgs &collArgs)
{
CHECK_CALL(CheckAllocation(collArgs));
if (collArgs.numInputElements != collArgs.numOutputElements)
{
ERROR("Number of input elements must match number of output elements for Broadcast\n");
return TEST_FAIL;
}
size_t const numBytes = collArgs.numInputElements * DataTypeToBytes(collArgs.dataType);
// Clear output for all ranks (done before filling input in case of in-place)
CHECK_CALL(collArgs.outputGpu.ClearGpuMem(numBytes));
// Only root needs input pattern
if (collArgs.globalRank == collArgs.options.root)
CHECK_CALL(collArgs.inputGpu.FillPattern(collArgs.dataType,
collArgs.numInputElements,
collArgs.options.root, true));
// Otherwise all other ranks expected output is the same as input of root
return collArgs.expected.FillPattern(collArgs.dataType,
collArgs.numInputElements,
collArgs.options.root,
false);
}
ErrCode DefaultPrepData_Reduce(CollectiveArgs &collArgs, bool const isAllReduce)
{
CHECK_CALL(CheckAllocation(collArgs));
if (collArgs.numInputElements != collArgs.numOutputElements)
{
ERROR("Number of input elements must match number of output elements for Reduce\n");
return TEST_FAIL;
}
size_t const numBytes = collArgs.numInputElements * DataTypeToBytes(collArgs.dataType);
// Clear output for all ranks (done before filling input in case of in-place)
CHECK_CALL(collArgs.outputGpu.ClearGpuMem(numBytes));
// Clear expected buffer for holding reduction
PtrUnion result;
CHECK_CALL(result.Attach(collArgs.expected));
CHECK_CALL(result.ClearCpuMem(numBytes));
// If average or custom reduction operator is used, perform a summation instead
ncclRedOp_t const tempOp = (collArgs.options.redOp >= ncclAvg ? ncclSum : collArgs.options.redOp);
// Loop over each rank and generate their input into a temp buffer, then reduce
PtrUnion scalarsPerRank;
scalarsPerRank.Attach(collArgs.options.scalarTransport.ptr);
PtrUnion tempInputCpu;
CHECK_CALL(tempInputCpu.Attach(collArgs.outputCpu));
for (int rank = 0; rank < collArgs.totalRanks; ++rank)
{
// Generate temporary input for this rank
CHECK_CALL(tempInputCpu.FillPattern(collArgs.dataType, collArgs.numInputElements, rank, false));
// Copy the pre-scaled input into GPU memory for the correct rank
if (rank == collArgs.globalRank)
{
CHECK_HIP(hipMemcpy(collArgs.inputGpu.ptr, tempInputCpu.ptr, numBytes, hipMemcpyHostToDevice));
}
// Scale the temporary input by local scalar for this rank
// (Used by custom reduction ops)
if (collArgs.options.scalarMode >= 0)
{
CHECK_CALL(tempInputCpu.Scale(collArgs.dataType, collArgs.numInputElements,
scalarsPerRank, rank));
}
// Any rank that requires output reduces the scaled-inputs
if (isAllReduce || collArgs.options.root == collArgs.globalRank)
{
if (rank == 0)
{
memcpy(result.ptr, tempInputCpu.ptr, numBytes);
}
else
{
CHECK_CALL(result.Reduce(collArgs.dataType, collArgs.numInputElements,
tempInputCpu, tempOp));
}
}
}
// Perform averaging if necessary
if (collArgs.options.redOp == ncclAvg && (isAllReduce || collArgs.options.root == collArgs.globalRank))
{
CHECK_CALL(result.DivideByInt(collArgs.dataType, collArgs.numInputElements, collArgs.totalRanks));
}
return TEST_SUCCESS;
}
ErrCode DefaultPrepData_Gather(CollectiveArgs &collArgs, bool const isAllGather)
{
CHECK_CALL(CheckAllocation(collArgs));
if (collArgs.totalRanks * collArgs.numInputElements != collArgs.numOutputElements)
{
ERROR("# of output elements must be total ranks * # input elements for AllGather\n");
return TEST_FAIL;
}
// Clear output for all ranks (done before filling input in case of in-place)
size_t const numInputBytes = collArgs.numInputElements * DataTypeToBytes(collArgs.dataType);
size_t const numOutputBytes = collArgs.numOutputElements * DataTypeToBytes(collArgs.dataType);
CHECK_CALL(collArgs.inputGpu.ClearGpuMem(numInputBytes));
CHECK_CALL(collArgs.outputGpu.ClearGpuMem(numOutputBytes));
PtrUnion result;
CHECK_CALL(result.Attach(collArgs.expected.ptr));
CHECK_CALL(result.ClearCpuMem(numOutputBytes));
// Use outputCpu buffer to store temporary input
PtrUnion tempInputCpu;
CHECK_CALL(tempInputCpu.Attach(collArgs.outputCpu.ptr));
for (int rank = 0; rank < collArgs.totalRanks; ++rank)
{
CHECK_CALL(tempInputCpu.FillPattern(collArgs.dataType, collArgs.numInputElements, rank, false));
if (rank == collArgs.globalRank)
{
CHECK_HIP(hipMemcpy(collArgs.inputGpu.ptr, tempInputCpu.ptr, numInputBytes, hipMemcpyHostToDevice));
}
if (isAllGather || collArgs.options.root == collArgs.globalRank)
{
memcpy(result.I1 + (rank * numInputBytes), tempInputCpu.ptr, numInputBytes);
}
}
return TEST_SUCCESS;
}
ErrCode DefaultPrepData_ReduceScatter(CollectiveArgs &collArgs)
{
CHECK_CALL(CheckAllocation(collArgs));
if (collArgs.numInputElements != collArgs.numOutputElements * collArgs.totalRanks)
{
ERROR("# of input elements must be total ranks * # output elements for ReduceScatter\n");
return TEST_FAIL;
}
size_t const numInputBytes = collArgs.numInputElements * DataTypeToBytes(collArgs.dataType);
size_t const numOutputBytes = collArgs.numOutputElements * DataTypeToBytes(collArgs.dataType);
// Clear output for all ranks (done before filling input in case of in-place)
CHECK_CALL(collArgs.outputGpu.ClearGpuMem(numOutputBytes));
PtrUnion tempInputCpu;
PtrUnion tempResultCpu;
CHECK_CALL(tempInputCpu.AllocateCpuMem(numInputBytes));
CHECK_CALL(tempResultCpu.AllocateCpuMem(numInputBytes));
CHECK_CALL(tempResultCpu.ClearCpuMem(numInputBytes));
// If average or custom reduction operator is used, perform a summation instead
ncclRedOp_t const tempOp = (collArgs.options.redOp >= ncclAvg ? ncclSum : collArgs.options.redOp);
// Loop over each rank and generate the input / scale / reduce
PtrUnion scalarsPerRank;
scalarsPerRank.Attach(collArgs.options.scalarTransport.ptr);
for (int rank = 0; rank < collArgs.totalRanks; ++rank)
{
CHECK_CALL(tempInputCpu.FillPattern(collArgs.dataType, collArgs.numInputElements, rank, false));
if (rank == collArgs.globalRank)
{
if (hipMemcpy(collArgs.inputGpu.ptr, tempInputCpu.ptr, numInputBytes, hipMemcpyHostToDevice) != hipSuccess)
{
ERROR("hipMemcpy to input failed\n");
CHECK_CALL(tempInputCpu.FreeCpuMem());
CHECK_CALL(tempResultCpu.FreeCpuMem());
return TEST_FAIL;
}
}
// Scale the temporary input by local scalar for this rank
// (Used by custom reduction ops)
if (collArgs.options.scalarMode >= 0)
{
CHECK_CALL(tempInputCpu.Scale(collArgs.dataType, collArgs.numInputElements,
scalarsPerRank, rank));
}
if (rank == 0)
{
memcpy(tempResultCpu.ptr, tempInputCpu.ptr, numInputBytes);
}
else
{
CHECK_CALL(tempResultCpu.Reduce(collArgs.dataType, collArgs.numInputElements,
tempInputCpu, tempOp));
}
}
// Perform averaging if necessary
if (collArgs.options.redOp == ncclAvg)
{
CHECK_CALL(tempResultCpu.DivideByInt(collArgs.dataType, collArgs.numInputElements, collArgs.totalRanks));
}
// Copy over portion of result
memcpy(collArgs.expected.I1,
tempResultCpu.I1 + collArgs.globalRank * numOutputBytes,
numOutputBytes);
CHECK_CALL(tempInputCpu.FreeCpuMem());
CHECK_CALL(tempResultCpu.FreeCpuMem());
return TEST_SUCCESS;
}
ErrCode DefaultPrepData_Scatter(CollectiveArgs &collArgs)
{
CHECK_CALL(CheckAllocation(collArgs));
if (collArgs.numInputElements != collArgs.numOutputElements * collArgs.totalRanks)
{
ERROR("# of input elements must be total ranks * # output elements for Scatter\n");
return TEST_FAIL;
}
size_t const numInputBytes = collArgs.numInputElements * DataTypeToBytes(collArgs.dataType);
size_t const numOutputBytes = collArgs.numOutputElements * DataTypeToBytes(collArgs.dataType);
// Clear outputs on all ranks (prior to input in case of in-place)
collArgs.outputGpu.ClearGpuMem(numOutputBytes);
// Generate input as if on root rank - each rank will receive a portion
PtrUnion tempInput;
tempInput.AllocateCpuMem(numInputBytes);
tempInput.FillPattern(collArgs.dataType, collArgs.numInputElements, collArgs.options.root, false);
// Copy input to root rank
if (collArgs.globalRank == collArgs.options.root)
{
if (hipMemcpy(collArgs.inputGpu.ptr, tempInput.ptr, numInputBytes, hipMemcpyHostToDevice) != hipSuccess)
{
ERROR("hipMemcpy to input failed\n");
tempInput.FreeCpuMem();
return TEST_FAIL;
}
}
else
{
collArgs.inputGpu.ClearGpuMem(numInputBytes);
}
// Each rank receive a portion of the input
memcpy(collArgs.expected.U1, tempInput.U1 + (collArgs.globalRank * numOutputBytes), numOutputBytes);
tempInput.FreeCpuMem();
return TEST_SUCCESS;
}
ErrCode DefaultPrepData_AllToAll(CollectiveArgs &collArgs)
{
CHECK_CALL(CheckAllocation(collArgs));
if (collArgs.numInputElements != collArgs.numOutputElements)
{
ERROR("Number of input elements must match number of output elements for AllToAll\n");
return TEST_FAIL;
}
if (collArgs.numInputElements % collArgs.totalRanks)
{
ERROR("Input / Output size for AllToAll must be a multiple of %d\n", collArgs.totalRanks);
return TEST_FAIL;
}
size_t const numInputBytes = collArgs.numInputElements * DataTypeToBytes(collArgs.dataType);
size_t const numOutputBytes = collArgs.numOutputElements * DataTypeToBytes(collArgs.dataType);
size_t const numBytes = numInputBytes / collArgs.totalRanks;
// Clear outputs on all ranks (prior to input in case of in-place)
collArgs.outputGpu.ClearGpuMem(numOutputBytes);
// Generate input on root rank - each rank will receive a portion
PtrUnion tempInput;
tempInput.Attach(collArgs.outputCpu);
for (int rank = 0; rank < collArgs.totalRanks; ++rank)
{
tempInput.FillPattern(collArgs.dataType, collArgs.numInputElements, rank, false);
// Copy input
if (rank == collArgs.globalRank)
{
CHECK_HIP(hipMemcpy(collArgs.inputGpu.ptr, tempInput.ptr, numInputBytes, hipMemcpyHostToDevice));
}
memcpy(collArgs.expected.U1 + (numBytes * rank), tempInput.U1 + (numBytes * collArgs.globalRank), numBytes);
}
return TEST_SUCCESS;
}
ErrCode DefaultPrepData_AllToAllv(CollectiveArgs &collArgs)
{
CHECK_CALL(CheckAllocation(collArgs));
size_t const numInputBytes = collArgs.numInputElements * DataTypeToBytes(collArgs.dataType);
size_t const numOutputBytes = collArgs.numOutputElements * DataTypeToBytes(collArgs.dataType);
// calculating maxNumElements as the maximum number of input bytes out of all the ranks
size_t maxNumElements = 0;
for (int sendRank = 0; sendRank < collArgs.totalRanks; ++sendRank)
for (int recvRank = 0; recvRank < collArgs.totalRanks; ++recvRank)
{
size_t rankSendCount = collArgs.options.sdispls[(sendRank)*collArgs.totalRanks+recvRank] + collArgs.options.sendcounts[(sendRank)*collArgs.totalRanks+recvRank];
maxNumElements = std::max(maxNumElements, rankSendCount);
}
// Clear outputs on all ranks (prior to input in case of in-place)
collArgs.outputGpu.ClearGpuMem(numOutputBytes);
// Generate input on root rank - each rank will receive a portion
PtrUnion tempInput;
tempInput.AllocateCpuMem(maxNumElements*DataTypeToBytes(collArgs.dataType));
for (int sendRank = 0; sendRank < collArgs.totalRanks; ++sendRank)
{
tempInput.FillPattern(collArgs.dataType, maxNumElements, sendRank, false);
size_t recvDspls = collArgs.options.rdispls[collArgs.globalRank*collArgs.totalRanks + sendRank] * DataTypeToBytes(collArgs.dataType);
size_t sendDspls = collArgs.options.sdispls[sendRank*collArgs.totalRanks + collArgs.globalRank] * DataTypeToBytes(collArgs.dataType);
size_t numBytes = collArgs.options.recvcounts[collArgs.globalRank*collArgs.totalRanks + sendRank] * DataTypeToBytes(collArgs.dataType);
memcpy(collArgs.expected.U1 + recvDspls, tempInput.U1 + sendDspls, numBytes);
}
tempInput.FillPattern(collArgs.dataType, collArgs.numInputElements, collArgs.globalRank, false);
CHECK_HIP(hipMemcpy(collArgs.inputGpu.ptr, tempInput.ptr, numInputBytes, hipMemcpyHostToDevice));
tempInput.FreeCpuMem();
return TEST_SUCCESS;
}
ErrCode DefaultPrepData_Send(CollectiveArgs &collArgs)
{
CHECK_CALL(CheckAllocation(collArgs));
return collArgs.inputGpu.FillPattern(collArgs.dataType,
collArgs.numInputElements,
collArgs.globalRank, true);
}
ErrCode DefaultPrepData_Recv(CollectiveArgs &collArgs)
{
CHECK_CALL(CheckAllocation(collArgs));
return collArgs.expected.FillPattern(collArgs.dataType,
collArgs.numOutputElements,
collArgs.options.root,
false);
}
}
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