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rocm-systems/test/test_AllReduce.hpp
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2020-01-29 15:28:08 -08:00

80 satır
3.6 KiB
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/*************************************************************************
* Copyright (c) 2019-2020 Advanced Micro Devices, Inc. All rights reserved.
*
* See LICENSE.txt for license information
************************************************************************/
#ifndef TEST_ALLREDUCE_HPP
#define TEST_ALLREDUCE_HPP
#include "CorrectnessTest.hpp"
namespace CorrectnessTests
{
class AllReduceCorrectnessTest : public CorrectnessTest
{
public:
static void ComputeExpectedResults(Dataset& dataset, ncclRedOp_t const op)
{
// Copy all inputs to expected arrays temporarily to perform reduction on host
for (int i = 0; i < dataset.numDevices; i++)
HIP_CALL(hipMemcpy(dataset.expected[i], dataset.inputs[i],
dataset.NumBytes(), hipMemcpyDeviceToHost));
// Allocate temporary host array to accumulate results
int8_t* resultI1 = (int8_t *)malloc(dataset.NumBytes());
uint8_t* resultU1 = (uint8_t *)resultI1;
int32_t* resultI4 = (int32_t *)resultI1;
uint32_t* resultU4 = (uint32_t *)resultI1;
int64_t* resultI8 = (int64_t *)resultI1;
uint64_t* resultU8 = (uint64_t *)resultI1;
float* resultF4 = (float *)resultI1;
double* resultF8 = (double *)resultI1;
rccl_bfloat16* resultB2 = (rccl_bfloat16 *)resultI1;
// Initialize the result with the first device's array
memcpy(resultI1, dataset.expected[0], dataset.NumBytes());
// Perform reduction on the other device arrays
for (int i = 1; i < dataset.numDevices; i++)
{
int8_t* arrayI1 = (int8_t *)dataset.expected[i];
uint8_t* arrayU1 = (uint8_t *)arrayI1;
int32_t* arrayI4 = (int32_t *)arrayI1;
uint32_t* arrayU4 = (uint32_t *)arrayI1;
int64_t* arrayI8 = (int64_t *)arrayI1;
uint64_t* arrayU8 = (uint64_t *)arrayI1;
float* arrayF4 = (float *)arrayI1;
double* arrayF8 = (double *)arrayI1;
rccl_bfloat16* arrayB2 = (rccl_bfloat16 *)arrayI1;
for (int j = 0; j < dataset.numElements; j++)
{
switch (dataset.dataType)
{
case ncclInt8: resultI1[j] = ReduceOp(op, resultI1[j], arrayI1[j]); break;
case ncclUint8: resultU1[j] = ReduceOp(op, resultU1[j], arrayU1[j]); break;
case ncclInt32: resultI4[j] = ReduceOp(op, resultI4[j], arrayI4[j]); break;
case ncclUint32: resultU4[j] = ReduceOp(op, resultU4[j], arrayU4[j]); break;
case ncclInt64: resultI8[j] = ReduceOp(op, resultI8[j], arrayI8[j]); break;
case ncclUint64: resultU8[j] = ReduceOp(op, resultU8[j], arrayU8[j]); break;
case ncclFloat32: resultF4[j] = ReduceOp(op, resultF4[j], arrayF4[j]); break;
case ncclFloat64: resultF8[j] = ReduceOp(op, resultF8[j], arrayF8[j]); break;
case ncclBfloat16: resultB2[j] = ReduceOp(op, resultB2[j], arrayB2[j]); break;
default:
fprintf(stderr, "[ERROR] Unsupported datatype\n");
exit(0);
}
}
}
// Copy results into expected arrays
for (int i = 0; i < dataset.numDevices; i++)
memcpy(dataset.expected[i], resultI1, dataset.NumBytes());
free(resultI1);
}
};
}
#endif