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#include <hip/hip_runtime.h>
#include <hipblaslt/hipblaslt-ext.hpp>
#include <iostream>

#include "helper.h"

void simpleGemmGetAllAlgosExt(hipblasLtHandle_t  handle,
                              hipblasOperation_t trans_a,
                              hipblasOperation_t trans_b,
                              int64_t            m,
                              int64_t            n,
                              int64_t            k,
                              int64_t            batch_count,
                              float&             alpha,
                              float&             beta,
                              void*              d_a,
                              void*              d_b,
                              void*              d_c,
                              void*              d_d,
                              void*              d_workspace,
                              int64_t            max_workspace_size,
                              hipStream_t        stream);

int main()
{
    /** This is an example using hipblaslt extension API.
     *  This is a NN example with
     *  a = (m, k). lda = m
     *  b = (k, n). ldb = k
     *  c = d = (m, n). ldc = ldd = m
     */
    Runner<hipblasLtHalf, hipblasLtHalf, hipblasLtHalf, float, float> runner(
        1024, 512, 1024, 1, 1.f, 1.f, 32 * 1024 * 1024);

    runner.run([&runner] {
        simpleGemmGetAllAlgosExt(runner.handle,
                                 HIPBLAS_OP_N,
                                 HIPBLAS_OP_N,
                                 runner.m,
                                 runner.n,
                                 runner.k,
                                 runner.batch_count,
                                 runner.alpha,
                                 runner.beta,
                                 runner.d_a,
                                 runner.d_b,
                                 runner.d_c,
                                 runner.d_d,
                                 runner.d_workspace,
                                 runner.max_workspace_size,
                                 runner.stream);
    });

    return 0;
}

void simpleGemmGetAllAlgosExt(hipblasLtHandle_t  handle,
                              hipblasOperation_t trans_a,
                              hipblasOperation_t trans_b,
                              int64_t            m,
                              int64_t            n,
                              int64_t            k,
                              int64_t            batch_count,
                              float&             alpha,
                              float&             beta,
                              void*              d_a,
                              void*              d_b,
                              void*              d_c,
                              void*              d_d,
                              void*              d_workspace,
                              int64_t            max_workspace_size,
                              hipStream_t        stream)
{
    // Get all algo doesn't require a gemm instance.
    std::vector<hipblasLtMatmulHeuristicResult_t> heuristicResult;
    CHECK_HIPBLASLT_ERROR(hipblaslt_ext::getAllAlgos(handle,
                                                     hipblaslt_ext::GemmType::HIPBLASLT_GEMM,
                                                     trans_a,
                                                     trans_a,
                                                     HIP_R_16F,
                                                     HIP_R_16F,
                                                     HIP_R_16F,
                                                     HIP_R_16F,
                                                     HIPBLAS_COMPUTE_32F,
                                                     heuristicResult));

    hipblaslt_ext::GemmPreference gemmPref;
    gemmPref.setMaxWorkspaceBytes(max_workspace_size);
    hipblaslt_ext::Gemm gemm(
        handle, trans_a, trans_b, HIP_R_16F, HIP_R_16F, HIP_R_16F, HIP_R_16F, HIPBLAS_COMPUTE_32F);

    hipblaslt_ext::GemmEpilogue
        epilogue; // No action needed, default is HIPBLASLT_EPILOGUE_DEFAULT. (Gemm only)
    hipblaslt_ext::GemmInputs inputs;
    inputs.setA(d_a);
    inputs.setB(d_b);
    inputs.setC(d_c);
    inputs.setD(d_d);
    inputs.setAlpha(&alpha);
    inputs.setBeta(&beta);
    gemm.setProblem(m, n, k, batch_count, epilogue, inputs);

    uint64_t            workspace_size = 0;
    std::vector<size_t> validIdx;
    for(size_t i = 0; i < heuristicResult.size(); i++)
    {
        size_t workspaceSizeInBytes = 0;
        if(gemm.isAlgoSupported(heuristicResult[i].algo, workspaceSizeInBytes)
           == HIPBLAS_STATUS_SUCCESS)
        {
            if(workspaceSizeInBytes <= max_workspace_size)
            {
                workspace_size = max(workspace_size, workspaceSizeInBytes);
                validIdx.push_back(i);
            }
        }
    }

    if(validIdx.empty())
    {
        std::cerr << "No valid solution found!" << std::endl;
        return;
    }

    // In this sample, the workspace is already allocated with max_workspace_size
    // If not, allocate d_workspace here
    // Then initialize gemm with calculated d_workspace and workspace_size
    // CHECK_HIP_ERRORhipMalloc(&d_workspace, workspace_size));

    // Make sure to initialize every time when algo changes
    gemm.setMaxWorkspaceBytes(max_workspace_size);
    CHECK_HIPBLASLT_ERROR(gemm.initialize(heuristicResult[validIdx[0]].algo, d_workspace));
    CHECK_HIPBLASLT_ERROR(gemm.run(stream));
    return;
}
