mirror of
https://github.com/ROCm/composable_kernel.git
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250 lines
8.7 KiB
C++
250 lines
8.7 KiB
C++
// Copyright (c) Advanced Micro Devices, Inc., or its affiliates.
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// SPDX-License-Identifier: MIT
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#include <algorithm>
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#include <cstdlib>
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#include <iostream>
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#include <numeric>
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#include <tuple>
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#include <vector>
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#include "ck/ck.hpp"
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#include "ck/library/utility/device_memory.hpp"
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#include "ck/library/utility/host_tensor.hpp"
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#include "ck/library/utility/check_err.hpp"
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#include "ck/host_utility/hip_check_error.hpp"
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#include <hip/hip_runtime.h>
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namespace ck {
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namespace s_prefetch_op_util {
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// Enable scalar prefetch in hardware (required on gfx12 before using s_prefetch)
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__device__ __forceinline__ void enable_scalar_prefetch()
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{
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#if defined(__gfx12__)
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// SCALAR_PREFETCH_EN is bit 24 in MODE register (hwreg 1)
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// Set 1 bit at offset 24 to value 1
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__builtin_amdgcn_s_setreg(1 | (24 << 6), 1); // Set bit to 1
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#endif
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}
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template <typename T>
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struct SPrefetchDataOp
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{
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// Prefetch to constant cache using AMD builtin with cachelines to prefetch(1..32)
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__device__ __forceinline__ void operator()(const T CK_CONSTANT_ADDRESS_SPACE* addr,
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unsigned int num_cachelines) const
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{
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#if defined(__gfx12__)
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assert(num_cachelines > 0 && num_cachelines <= 32);
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__builtin_amdgcn_s_prefetch_data(addr, num_cachelines - 1); // we need to pass 0..31
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#else
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// ignore - not supported
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(void)addr;
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(void)num_cachelines;
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#endif
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}
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};
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template <typename T, uint32_t NUM_SCALARS>
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struct SBufferPrefetchDataOp
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{
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// Prefetch to constant cache using AMD builtin with cachelines to prefetch(1..32)
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__device__ __forceinline__ void operator()(const T CK_CONSTANT_ADDRESS_SPACE* addr,
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unsigned int num_cachelines) const
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{
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#if defined(__gfx12__)
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__amdgpu_buffer_rsrc_t buf_res = make_wave_buffer_resource_new(addr, NUM_SCALARS);
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assert(num_cachelines > 0 && num_cachelines <= 32);
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__builtin_amdgcn_s_buffer_prefetch_data(buf_res, 0, num_cachelines - 1);
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#else
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// ignore - not supported
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(void)addr;
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(void)num_cachelines;
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#endif
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}
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};
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template <typename T, uint32_t NUM_THREADS, uint32_t NUM_SCALARS, typename PrefetchOp>
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__global__ void kernel_with_prefetch(const T* src,
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T* dst,
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const T CK_CONSTANT_ADDRESS_SPACE* scalar_data,
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bool enable_prefetch)
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{
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uint32_t tid = blockIdx.x * blockDim.x + threadIdx.x;
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// Calculate number of 128B cachelines needed to cover num_scalars elements
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constexpr index_t cachelineSize = 128;
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constexpr index_t elements_per_cachelineSize = cachelineSize / sizeof(T);
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constexpr unsigned int cachelinesNeeded =
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(NUM_SCALARS + elements_per_cachelineSize - 1) / elements_per_cachelineSize;
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// Prefetch all scalar data at once
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if(threadIdx.x == 0)
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{
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if(enable_prefetch)
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{
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enable_scalar_prefetch();
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}
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PrefetchOp{}(scalar_data, cachelinesNeeded);
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}
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T sum = 0;
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if(tid < NUM_THREADS)
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{
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sum = src[tid]; // load from global mem to give time for prefetch to finish or be close to
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// finishs
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}
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__syncthreads(); // waits on loads from global mem
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if(tid < NUM_THREADS)
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{
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// Access prefetched scalar data
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for(uint32_t i = 0; i < NUM_SCALARS; i++)
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{
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sum += scalar_data[i]; // should be fast due to scalars being preloaded
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}
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dst[tid] = sum;
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}
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}
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template <typename PrefetchKernel, typename T, uint32_t NUM_THREADS, uint32_t NUM_SCALARS>
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bool test_prefetch_impl(bool time_kernels,
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const PrefetchKernel& prefetch_kernel,
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const std::string& kernel_name)
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{
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// TODO: maybe add more prefetch instructions inside kernel to support more values
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assert(NUM_SCALARS / sizeof(T) < (128 * 32));
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constexpr index_t num_elements = NUM_THREADS;
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constexpr index_t num_scalars = NUM_SCALARS;
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constexpr index_t block_size = 256;
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constexpr index_t grid_size = (num_elements + block_size - 1) / block_size;
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std::cout << "Testing " << kernel_name << " to constant cache for type: " << typeid(T).name()
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<< std::endl;
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std::cout << "Elements: " << num_elements << ", Scalars: " << num_scalars << std::endl;
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// Host data
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std::vector<T> h_src(num_elements);
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std::vector<T> h_scalar(num_scalars);
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std::vector<T> h_dst_with_prefetch_chunks(num_elements);
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std::vector<T> h_expected(num_elements);
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// Initialize data
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for(index_t i = 0; i < num_elements; i++)
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{
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h_src[i] = static_cast<T>(i % 100);
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}
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T scalar_sum = 0;
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for(index_t i = 0; i < num_scalars; i++)
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{
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h_scalar[i] = static_cast<T>(i + 1);
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scalar_sum += h_scalar[i];
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}
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// Expected results
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for(index_t i = 0; i < num_elements; i++)
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{
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h_expected[i] = h_src[i] + scalar_sum;
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}
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// Device memory
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DeviceMem d_src(sizeof(T) * num_elements);
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DeviceMem d_scalar(sizeof(T) * num_scalars);
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DeviceMem d_dst_with_prefetch_chunks(sizeof(T) * num_elements);
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d_src.ToDevice(h_src.data());
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d_scalar.ToDevice(h_scalar.data());
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hipStream_t stream;
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hip_check_error(hipStreamCreate(&stream));
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if(time_kernels)
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{
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ck::static_for<0, 2, 1>{}([&](auto static_i) {
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constexpr bool prefetch_enabled = static_i == 0;
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std::cout << "PREFETCH " << (prefetch_enabled ? "ENABLED!" : "DISABLED!") << std::endl;
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constexpr int num_warmup = 1;
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constexpr int num_iterations = 10;
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// Warmup runs
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for(int i = 0; i < num_warmup; i++)
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{
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prefetch_kernel<<<grid_size, block_size, 0, stream>>>(
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static_cast<const T*>(d_src.GetDeviceBuffer()),
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static_cast<T*>(d_dst_with_prefetch_chunks.GetDeviceBuffer()),
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cast_pointer_to_constant_address_space(
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static_cast<const T*>(d_scalar.GetDeviceBuffer())),
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prefetch_enabled);
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}
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hip_check_error(hipStreamSynchronize(stream));
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// Performance measurement
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hipEvent_t start, stop;
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hip_check_error(hipEventCreate(&start));
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hip_check_error(hipEventCreate(&stop));
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hip_check_error(hipEventRecord(start, stream));
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for(int i = 0; i < num_iterations; i++)
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{
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prefetch_kernel<<<grid_size, block_size, 0, stream>>>(
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static_cast<const T*>(d_src.GetDeviceBuffer()),
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static_cast<T*>(d_dst_with_prefetch_chunks.GetDeviceBuffer()),
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cast_pointer_to_constant_address_space(
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static_cast<const T*>(d_scalar.GetDeviceBuffer())),
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prefetch_enabled);
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}
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hip_check_error(hipEventRecord(stop, stream));
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hip_check_error(hipStreamSynchronize(stream));
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float elapsed_ms = 0;
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hip_check_error(hipEventElapsedTime(&elapsed_ms, start, stop));
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float avg_time_us = (elapsed_ms * 1000.0f) / num_iterations;
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float total_bytes = (num_elements * sizeof(T) + num_scalars * sizeof(T)); // read
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float bandwidth_gb_s = (total_bytes / (avg_time_us * 1e-6)) / 1e9;
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float ops_per_iteration = num_elements * num_scalars; // adds
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float gflops = (ops_per_iteration / (avg_time_us * 1e-6)) / 1e9;
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std::cout << " Performance: " << std::endl;
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std::cout << " Average kernel time: " << avg_time_us << " us" << std::endl;
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std::cout << " Effective bandwidth: " << bandwidth_gb_s << " GB/s" << std::endl;
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std::cout << " Compute throughput: " << gflops << " GFLOPS" << std::endl;
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hip_check_error(hipEventDestroy(start));
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hip_check_error(hipEventDestroy(stop));
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});
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}
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else
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{
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prefetch_kernel<<<grid_size, block_size, 0, stream>>>(
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static_cast<const T*>(d_src.GetDeviceBuffer()),
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static_cast<T*>(d_dst_with_prefetch_chunks.GetDeviceBuffer()),
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cast_pointer_to_constant_address_space(
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static_cast<const T*>(d_scalar.GetDeviceBuffer())),
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true);
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hip_check_error(hipStreamSynchronize(stream));
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}
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// Copy results back
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d_dst_with_prefetch_chunks.FromDevice(h_dst_with_prefetch_chunks.data());
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// Verify results
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bool pass = ck::utils::check_err(h_dst_with_prefetch_chunks, h_expected);
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std::cout << " Correctness: " << (pass ? "PASS" : "FAIL") << std::endl;
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std::cout << std::endl;
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hip_check_error(hipStreamDestroy(stream));
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return pass;
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}
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} // namespace s_prefetch_op_util
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} // namespace ck
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