Converting a 2D tensor using LayerNorm

This code sample from clients/samples/22_layernorm_ext/sample_hipblaslt_ext_op_layernorm.cpp converts a 2D tensor using LayerNorm to generate a new 2D normalized tensor.

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

#include "helper.h"

void simpleLayerNorm(hipDataType type,
                     void*       d_out,
                     void*       d_mean,
                     void*       d_invvar,
                     void*       d_in,
                     int64_t     m,
                     int64_t     n,
                     float       eps,
                     void*       d_gamma,
                     void*       d_beta,
                     hipStream_t stream);

int main()
{
    int             deviceId;
    hipDeviceProp_t deviceProperties;
    static_cast<void>(hipGetDevice(&deviceId));
    static_cast<void>(hipGetDeviceProperties(&deviceProperties, deviceId));
    if(gpu_arch_match(deviceProperties.gcnArchName, "1[12]\\d{2}"))
    {
        std::cout << "This arch doesn't support Layernorm op yet" << std::endl;
        return 0;
    }

    LayerNormRunner<float> runnerF32(135, 345);

    runnerF32.run([&runnerF32] {
        simpleLayerNorm(HIP_R_32F,
                        runnerF32.d_out,
                        runnerF32.d_mean,
                        runnerF32.d_invvar,
                        runnerF32.d_in,
                        runnerF32.m,
                        runnerF32.n,
                        1e-5,
                        runnerF32.d_gamma,
                        runnerF32.d_beta,
                        runnerF32.stream);
    });

    return 0;
}

void simpleLayerNorm(hipDataType type,
                     void*       d_out,
                     void*       d_mean,
                     void*       d_invvar,
                     void*       d_in,
                     int64_t     m,
                     int64_t     n,
                     float       eps,
                     void*       d_gamma,
                     void*       d_beta,
                     hipStream_t stream)
{
    CHECK_HIPBLASLT_ERROR(hipblasltExtLayerNorm(
        type, d_out, d_mean, d_invvar, d_in, m, n, eps, d_gamma, d_beta, stream));
}