TheRock/rocm-libraries/projects/hipblas/clients/samples/example_sgemm_strided_batched.cpp

/* ************************************************************************
 * Copyright (C) 2016-2024 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
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 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
 * SOFTWARE.
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#include <hipblas/hipblas.h>
#include <iostream>
#include <limits>
#include <stdio.h>
#include <stdlib.h>
#include <vector>

#ifndef CHECK_HIP_ERROR
#define CHECK_HIP_ERROR(error)                    \
    if(error != hipSuccess)                       \
    {                                             \
        fprintf(stderr,                           \
                "Hip error: '%s'(%d) at %s:%d\n", \
                hipGetErrorString(error),         \
                error,                            \
                __FILE__,                         \
                __LINE__);                        \
        exit(EXIT_FAILURE);                       \
    }
#endif

#ifndef CHECK_HIPBLAS_ERROR
#define CHECK_HIPBLAS_ERROR(error)                              \
    if(error != HIPBLAS_STATUS_SUCCESS)                         \
    {                                                           \
        fprintf(stderr, "hipBLAS error: ");                     \
        if(error == HIPBLAS_STATUS_NOT_INITIALIZED)             \
            fprintf(stderr, "HIPBLAS_STATUS_NOT_INITIALIZED");  \
        if(error == HIPBLAS_STATUS_ALLOC_FAILED)                \
            fprintf(stderr, "HIPBLAS_STATUS_ALLOC_FAILED");     \
        if(error == HIPBLAS_STATUS_INVALID_VALUE)               \
            fprintf(stderr, "HIPBLAS_STATUS_INVALID_VALUE");    \
        if(error == HIPBLAS_STATUS_MAPPING_ERROR)               \
            fprintf(stderr, "HIPBLAS_STATUS_MAPPING_ERROR");    \
        if(error == HIPBLAS_STATUS_EXECUTION_FAILED)            \
            fprintf(stderr, "HIPBLAS_STATUS_EXECUTION_FAILED"); \
        if(error == HIPBLAS_STATUS_INTERNAL_ERROR)              \
            fprintf(stderr, "HIPBLAS_STATUS_INTERNAL_ERROR");   \
        if(error == HIPBLAS_STATUS_NOT_SUPPORTED)               \
            fprintf(stderr, "HIPBLAS_STATUS_NOT_SUPPORTED");    \
        if(error == HIPBLAS_STATUS_INVALID_ENUM)                \
            fprintf(stderr, "HIPBLAS_STATUS_INVALID_ENUM");     \
        if(error == HIPBLAS_STATUS_UNKNOWN)                     \
            fprintf(stderr, "HIPBLAS_STATUS_UNKNOWN");          \
        fprintf(stderr, "\n");                                  \
        exit(EXIT_FAILURE);                                     \
    }
#endif

#define DIM1 127
#define DIM2 128
#define DIM3 129
#define BATCH_COUNT 10

template <typename T>
void mat_mat_mult(T   alpha,
                  T   beta,
                  int M,
                  int N,
                  int K,
                  T*  A,
                  int As1,
                  int As2,
                  T*  B,
                  int Bs1,
                  int Bs2,
                  T*  C,
                  int Cs1,
                  int Cs2)
{
    for(int i1 = 0; i1 < M; i1++)
    {
        for(int i2 = 0; i2 < N; i2++)
        {
            T t = 0.0;
            for(int i3 = 0; i3 < K; i3++)
            {
                t += A[i1 * As1 + i3 * As2] * B[i3 * Bs1 + i2 * Bs2];
            }
            C[i1 * Cs1 + i2 * Cs2] = beta * C[i1 * Cs1 + i2 * Cs2] + alpha * t;
        }
    }
}

int main()
{
    hipblasOperation_t transa = HIPBLAS_OP_N, transb = HIPBLAS_OP_T;
    float              alpha = 1.1, beta = 0.9;

    int m = DIM1, n = DIM2, k = DIM3, batch_count = BATCH_COUNT;
    int lda, ldb, ldc, bsa, bsb, bsc;
    int a_stride_1, a_stride_2, b_stride_1, b_stride_2;
    std::cout << "sgemm_strided_batched example" << std::endl;
    if(transa == HIPBLAS_OP_N)
    {
        lda        = m;
        bsa        = k * lda;
        a_stride_1 = 1;
        a_stride_2 = lda;
        std::cout << "N";
    }
    else
    {
        lda        = k;
        bsa        = m * lda;
        a_stride_1 = lda;
        a_stride_2 = 1;
        std::cout << "T";
    }
    if(transb == HIPBLAS_OP_N)
    {
        ldb        = k;
        bsb        = n * ldb;
        b_stride_1 = 1;
        b_stride_2 = ldb;
        std::cout << "N: ";
    }
    else
    {
        ldb        = n;
        bsb        = k * ldb;
        b_stride_1 = ldb;
        b_stride_2 = 1;
        std::cout << "T: ";
    }
    ldc = m;
    bsc = n * ldc;

    std::cout << "M, N, K, lda, bsa, ldb, bsb, ldc, bsc = " << m << ", " << n << ", " << k << ", "
              << lda << ", " << bsa << ", " << ldb << ", " << bsb << ", " << ldc << ", " << bsc
              << std::endl;

    int size_a = bsa * batch_count;
    int size_b = bsb * batch_count;
    int size_c = bsc * batch_count;

    // Naming: da is in GPU (device) memory. ha is in CPU (host) memory
    std::vector<float> ha(size_a);
    std::vector<float> hb(size_b);
    std::vector<float> hc(size_c);
    std::vector<float> hc_gold(size_c);

    // initial data on host
    srand(1);
    for(int i = 0; i < size_a; ++i)
    {
        ha[i] = rand() % 17;
    }
    for(int i = 0; i < size_b; ++i)
    {
        hb[i] = rand() % 17;
    }
    for(int i = 0; i < size_c; ++i)
    {
        hc[i] = rand() % 17;
    }
    hc_gold = hc;

    // allocate memory on device
    float *da, *db, *dc;
    CHECK_HIP_ERROR(hipMalloc(&da, size_a * sizeof(float)));
    CHECK_HIP_ERROR(hipMalloc(&db, size_b * sizeof(float)));
    CHECK_HIP_ERROR(hipMalloc(&dc, size_c * sizeof(float)));

    // copy matrices from host to device
    CHECK_HIP_ERROR(hipMemcpy(da, ha.data(), sizeof(float) * size_a, hipMemcpyHostToDevice));
    CHECK_HIP_ERROR(hipMemcpy(db, hb.data(), sizeof(float) * size_b, hipMemcpyHostToDevice));
    CHECK_HIP_ERROR(hipMemcpy(dc, hc.data(), sizeof(float) * size_c, hipMemcpyHostToDevice));

    hipblasHandle_t handle;
    CHECK_HIPBLAS_ERROR(hipblasCreate(&handle));

    CHECK_HIPBLAS_ERROR(hipblasSgemmStridedBatched(handle,
                                                   transa,
                                                   transb,
                                                   m,
                                                   n,
                                                   k,
                                                   &alpha,
                                                   da,
                                                   lda,
                                                   bsa,
                                                   db,
                                                   ldb,
                                                   bsb,
                                                   &beta,
                                                   dc,
                                                   ldc,
                                                   bsc,
                                                   batch_count));

    // copy output from device to CPU
    CHECK_HIP_ERROR(hipMemcpy(hc.data(), dc, sizeof(float) * size_c, hipMemcpyDeviceToHost));

    // calculate golden or correct result
    for(int i = 0; i < batch_count; i++)
    {
        float* a_ptr = &ha[i * bsa];
        float* b_ptr = &hb[i * bsb];
        float* c_ptr = &hc_gold[i * bsc];
        mat_mat_mult<float>(alpha,
                            beta,
                            m,
                            n,
                            k,
                            a_ptr,
                            a_stride_1,
                            a_stride_2,
                            b_ptr,
                            b_stride_1,
                            b_stride_2,
                            c_ptr,
                            1,
                            ldc);
    }

    float max_relative_error = std::numeric_limits<float>::min();
    for(int i = 0; i < size_c; i++)
    {
        float relative_error
            = hc_gold[i] == 0 ? (hc_gold[i] - hc[i]) : (hc_gold[i] - hc[i]) / hc_gold[i];
        relative_error = relative_error > 0 ? relative_error : -relative_error;
        max_relative_error
            = relative_error < max_relative_error ? max_relative_error : relative_error;
    }
    float eps       = std::numeric_limits<float>::epsilon();
    float tolerance = 10;
    if(max_relative_error != max_relative_error || max_relative_error > eps * tolerance)
    {
        std::cout << "FAIL: max_relative_error = " << max_relative_error << std::endl;
    }
    else
    {
        std::cout << "PASS: max_relative_error = " << max_relative_error << std::endl;
    }

    CHECK_HIP_ERROR(hipFree(da));
    CHECK_HIP_ERROR(hipFree(db));
    CHECK_HIP_ERROR(hipFree(dc));
    CHECK_HIPBLAS_ERROR(hipblasDestroy(handle));
    return EXIT_SUCCESS;
}