mirror of
https://github.com/ROCm/composable_kernel.git
synced 2026-05-14 10:09:41 +00:00
Merge commit '88d72178d6739c7e277074e5f9bb5d1e59bf0152' into develop
This commit is contained in:
@@ -458,7 +458,8 @@ auto create_args(int argc, char* argv[])
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.insert("split_k", "1", "splitK value")
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.insert("init", "0", "0:random, 1:linear, 2:constant(1)")
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.insert("persistent", "0", "0:non-persistent, 1:persistent")
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.insert("bench_time_ms", "0", "benchmark time in ms, defaults to 0 ms");
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.insert("flush_cache", "true", "flush cache before running the kernel, defaults to true")
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.insert("rotating_count", "1", "rotating count, defaults to 1");
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bool result = arg_parser.parse(argc, argv);
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return std::make_tuple(result, arg_parser);
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@@ -184,7 +184,8 @@ float invoke_gemm(ck_tile::DeviceMem& a_m_k_dev_buf,
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int n_warmup,
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int n_repeat,
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bool persistent,
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int bench_time_ms)
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bool flush_cache,
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int rotating_count)
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{
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ck_tile::GemmHostArgs args = {a_m_k_dev_buf.GetDeviceBuffer(),
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b_k_n_dev_buf.GetDeviceBuffer(),
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@@ -214,7 +215,7 @@ float invoke_gemm(ck_tile::DeviceMem& a_m_k_dev_buf,
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CDEElementWise>(
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args,
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ck_tile::stream_config{
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nullptr, true, 1, n_warmup, n_repeat, true, true, 50, bench_time_ms});
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nullptr, true, 1, n_warmup, n_repeat, true, flush_cache, rotating_count});
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}
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else
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{
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@@ -232,7 +233,7 @@ float invoke_gemm(ck_tile::DeviceMem& a_m_k_dev_buf,
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CDEElementWise>(
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args,
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ck_tile::stream_config{
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nullptr, true, 1, n_warmup, n_repeat, true, true, 50, bench_time_ms});
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nullptr, true, 1, n_warmup, n_repeat, true, flush_cache, rotating_count});
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}
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std::size_t flop = std::size_t(2) * M * N * K;
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@@ -303,7 +304,8 @@ int run_gemm_example_with_layouts(int argc,
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int n_repeat = arg_parser.get_int("repeat");
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ck_tile::index_t init_method = arg_parser.get_int("init");
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bool persistent = arg_parser.get_int("persistent");
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int bench_time_ms = arg_parser.get_int("bench_time_ms");
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bool flush_cache = arg_parser.get_bool("flush_cache");
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int rotating_count = arg_parser.get_int("rotating_count");
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const bool preshuffle = GemmConfig::Preshuffle;
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@@ -422,7 +424,8 @@ int run_gemm_example_with_layouts(int argc,
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n_warmup,
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n_repeat,
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persistent,
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bench_time_ms);
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flush_cache,
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rotating_count);
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c_m_n_dev_buf.FromDevice(c_m_n_dev_result.data());
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bool pass = true;
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@@ -168,7 +168,7 @@ float flatmm_calc(const ck_tile::FlatmmHostArgs<>& args, const ck_tile::stream_c
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hipGetErrorString(hipMemsetAsync(
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args.e_ptr, 0, args.M * args.N * sizeof(CDataType), s.stream_id_));
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};
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ave_time = ck_tile::launch_kernel_preprocess(
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ave_time = ck_tile::launch_kernel_time_mask(
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s,
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run_flush_cache,
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ck_tile::make_kernel<blocks.x, FlatmmConfig::kBlockPerCu>(
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@@ -120,7 +120,7 @@ float grouped_conv_bwd_weight(const ck_tile::GroupedConvBwdWeightHostArgs& args,
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<< ", Vector size C: " << ConvEpilogue::GetVectorSizeC() << std::endl;
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}
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float ave_time = ck_tile::launch_kernel_preprocess(
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float ave_time = ck_tile::launch_kernel_time_mask(
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s,
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Kernel::Preprocess(kargs, s),
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ck_tile::make_kernel<blocks.x, kBlockPerCu>(Kernel{}, grids, blocks, 0, kargs));
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@@ -15,12 +15,6 @@
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namespace ck_tile {
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#define LOW_CU_PROCESSORS 80
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#define HIGH_CU_PROCESSORS 228
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#define OPTIMAL_LATENCY_LOW_CU_PROCESSORS 0.005
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#define OPTIMAL_LATENCY_HIGH_CU_PROCESSORS 0.0015
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#define OPTIMAL_LATENCY_SAFE_MARGIN 0.01
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template <int MaxThreadPerBlock, int MinBlockPerCu, typename Kernel, typename... Args>
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#if CK_TILE_USE_LAUNCH_BOUNDS
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__launch_bounds__(MaxThreadPerBlock, MinBlockPerCu)
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@@ -65,71 +59,58 @@ CK_TILE_HOST void launch_and_check(const stream_config& sc, Callables&&... calla
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}
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}
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template <class it>
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typename std::iterator_traits<it>::value_type median(it begin, it end)
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// Measure the preprocess time during the cold iterations
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template <typename TimerType, typename PreprocessFunc>
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CK_TILE_HOST double
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preprocess_profiling_impl(TimerType timer, const stream_config& s, PreprocessFunc preprocess)
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{
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if(begin == end)
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timer.start(s.stream_id_);
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for(int i = 0; i < s.nrepeat_; i++)
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{
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return std::numeric_limits<double>::quiet_NaN();
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if constexpr(!std::is_same_v<PreprocessFunc, std::nullptr_t>)
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{
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preprocess();
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}
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}
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auto n = std::distance(begin, end);
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auto n2 = n / 2;
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std::nth_element(begin, begin + n2, end);
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return (n % 2) ? begin[n2] : (*std::max_element(begin, begin + n2) + begin[n2]) / 2.0;
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timer.stop(s.stream_id_);
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return timer.duration() / s.nrepeat_;
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}
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inline void remove_outliers(std::vector<float>& v)
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{
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// 1.5x IQR method to detect and remove outliers
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auto n2 = v.size() / 2;
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std::nth_element(v.begin(), v.begin() + n2, v.end());
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auto q1 = median(v.begin(), v.begin() + n2);
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auto q3 = median(v.begin() + ((v.size() % 2) ? n2 + 1 : n2), v.end());
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auto iqr = q3 - q1;
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auto lb = q1 - 1.5 * iqr;
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auto ub = q3 + 1.5 * iqr;
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v.erase(std::remove_if(v.begin(), v.end(), [&](float f) { return f < lb || f > ub; }), v.end());
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}
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template <typename TimerType, typename CallablesFunc>
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template <typename TimerType, typename CallablesFunc, typename PreprocessFunc = std::nullptr_t>
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CK_TILE_HOST double timing_loop_impl(TimerType timer,
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const stream_config& s,
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CallablesFunc&& callables_func,
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std::function<void()> preprocess = nullptr)
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PreprocessFunc preprocess = nullptr)
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{
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for(int i = 0; i < s.cold_niters_; i++)
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{
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callables_func();
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}
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float per_iter_time = 0.f;
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std::vector<float> times;
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int i = 0;
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while(i < s.nrepeat_ || per_iter_time < s.bench_time_ms_)
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// Only profile preprocess if it's provided
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auto preprocess_time = 0.0;
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if constexpr(!std::is_same_v<PreprocessFunc, std::nullptr_t>)
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{
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if(preprocess)
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preprocess();
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preprocess_time = preprocess_profiling_impl(gpu_timer{}, s, preprocess);
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}
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timer.start(s.stream_id_, i);
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callables_func();
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timer.stop(s.stream_id_, i);
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if(i > 0)
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int i = 0;
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timer.start(s.stream_id_);
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while(i < s.nrepeat_)
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{
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if constexpr(!std::is_same_v<PreprocessFunc, std::nullptr_t>)
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{
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per_iter_time = timer.duration(i - 1);
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times.push_back(per_iter_time);
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per_iter_time = timer.is_exceed(i - 1);
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preprocess();
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}
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callables_func();
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i++;
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}
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timer.stop(s.stream_id_);
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if(!i)
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return 0.;
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per_iter_time = timer.duration(i - 1);
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times.push_back(per_iter_time);
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remove_outliers(times);
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return std::accumulate(times.begin(), times.end(), 0.) / times.size();
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return (timer.duration() / s.nrepeat_) - preprocess_time;
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}
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// clang-format off
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@@ -174,7 +155,7 @@ CK_TILE_HOST float launch_kernel(const stream_config& s, Callables&&... callable
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if(s.is_gpu_timer_)
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{
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return timing_loop_impl(gpu_timer_new{s.stream_id_}, s, callables_func);
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return timing_loop_impl(gpu_timer{}, s, callables_func);
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}
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else
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{
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@@ -199,7 +180,7 @@ launch_kernel_time_mask(const stream_config& s, PreprocessFunc preprocess, Calla
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if(s.is_gpu_timer_)
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{
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return timing_loop_impl(gpu_timer_new{s.stream_id_}, s, callables_func, preprocess);
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return timing_loop_impl(gpu_timer{}, s, callables_func, preprocess);
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}
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else
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{
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@@ -20,6 +20,10 @@ namespace ck_tile {
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*
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* // create stream config with _some_stream_id_, and benchmark using cpu timer
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* stream_config s = stream_config{_some_stream_id_, true, 0, 3, 10, false};
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*
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* // create stream config with _some_stream_id_, and enable gpu timer for rotating buffer with
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*rotating buffer count stream_config s = stream_config{_some_stream_id_, true, 0, 3, 10, true,
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*true, 1};
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**/
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struct stream_config
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@@ -32,6 +36,5 @@ struct stream_config
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bool is_gpu_timer_ = true; // keep compatible
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bool flush_cache_ = false;
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int rotating_count_ = 1;
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int bench_time_ms_ = 0;
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};
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} // namespace ck_tile
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@@ -48,100 +48,31 @@ struct gpu_timer
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hipEvent_t start_evt, stop_evt;
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};
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struct gpu_timer_new
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{
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CK_TILE_HOST gpu_timer_new(const hipStream_t& s)
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{
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for(auto& e : start_event)
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{
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HIP_CHECK_ERROR(hipEventCreate(&e));
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}
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for(auto& e : stop_event)
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{
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HIP_CHECK_ERROR(hipEventCreate(&e));
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}
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HIP_CHECK_ERROR(hipEventCreate(&event0));
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HIP_CHECK_ERROR(hipEventRecord(event0, s));
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}
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CK_TILE_HOST ~gpu_timer_new() noexcept(false)
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{
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for(auto& e : start_event)
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{
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HIP_CHECK_ERROR(hipEventDestroy(e));
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}
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for(auto& e : stop_event)
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{
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HIP_CHECK_ERROR(hipEventDestroy(e));
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}
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HIP_CHECK_ERROR(hipEventDestroy(event0));
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}
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CK_TILE_HOST void start(const hipStream_t& s, int idx = 0)
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{
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HIP_CHECK_ERROR(hipEventRecord(start_event[idx % 2], s));
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}
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CK_TILE_HOST void stop(const hipStream_t& s, int idx = 0)
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{
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HIP_CHECK_ERROR(hipEventRecord(stop_event[idx % 2], s));
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}
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// return in ms
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CK_TILE_HOST float duration(int idx = 0) const
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{
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float ms;
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HIP_CHECK_ERROR(hipEventSynchronize(stop_event[idx % 2]));
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HIP_CHECK_ERROR(hipEventElapsedTime(&ms, start_event[idx % 2], stop_event[idx % 2]));
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return ms;
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}
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CK_TILE_HOST float is_exceed(int idx = 0) const
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{
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float ms;
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HIP_CHECK_ERROR(hipEventElapsedTime(&ms, event0, stop_event[idx % 2]));
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return ms;
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}
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private:
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std::array<hipEvent_t, 2> start_event;
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std::array<hipEvent_t, 2> stop_event;
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hipEvent_t event0;
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};
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struct cpu_timer
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{
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// torch.utils.benchmark.Timer(), there is a sync inside each timer callback
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CK_TILE_HOST void start(const hipStream_t& s, [[maybe_unused]] int idx = 0)
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CK_TILE_HOST void start(const hipStream_t& s)
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{
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HIP_CHECK_ERROR(hipStreamSynchronize(s));
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start_tick = std::chrono::high_resolution_clock::now();
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time_event0 = std::chrono::high_resolution_clock::now();
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start_tick = std::chrono::high_resolution_clock::now();
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}
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// torch.utils.benchmark.Timer(), there is a sync inside each timer callback
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CK_TILE_HOST void stop(const hipStream_t& s, [[maybe_unused]] int idx = 0)
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CK_TILE_HOST void stop(const hipStream_t& s)
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{
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HIP_CHECK_ERROR(hipStreamSynchronize(s));
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stop_tick = std::chrono::high_resolution_clock::now();
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}
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// return in ms
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CK_TILE_HOST float duration([[maybe_unused]] int idx = 0) const
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CK_TILE_HOST float duration() const
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{
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double sec =
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std::chrono::duration_cast<std::chrono::duration<double>>(stop_tick - start_tick)
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.count();
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return static_cast<float>(sec * 1e3);
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}
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// return in ms
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CK_TILE_HOST float is_exceed([[maybe_unused]] int idx = 0) const
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{
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double sec =
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std::chrono::duration_cast<std::chrono::duration<double>>(stop_tick - time_event0)
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.count();
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return static_cast<float>(sec * 1e3);
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}
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private:
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std::chrono::time_point<std::chrono::high_resolution_clock> start_tick;
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std::chrono::time_point<std::chrono::high_resolution_clock> time_event0;
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std::chrono::time_point<std::chrono::high_resolution_clock> stop_tick;
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};
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@@ -34,8 +34,7 @@ void benchmark_gemm(const ck_tile::ArgParser& arg_parser)
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arg_parser.get_bool("log"),
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arg_parser.get_str("csv_filename"),
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arg_parser.get_bool("flush_cache"),
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arg_parser.get_int("rotating_count"),
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arg_parser.get_int("bench_time")};
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arg_parser.get_int("rotating_count")};
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auto& profiler = GemmProfiler::instance(setting);
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@@ -125,7 +125,6 @@ struct Setting
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std::string csv_filename_;
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bool flush_cache_;
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int rotating_count_;
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int bench_time_ms_;
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};
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inline std::string get_rocm_version()
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@@ -110,7 +110,6 @@ inline auto create_args(int argc, char* argv[])
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"To flush cache, possible values are true or false. "
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"Default is false.")
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.insert("rotating_count", "5", "number of iterations to rotate the cache. default is 5.")
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.insert("bench_time", "0", "benchmark time in ms. default is 0 ms.")
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.insert("metric",
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"0",
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"Metric with which to measure kernel performance. Set to 0 for latency, 1 for "
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@@ -131,8 +131,7 @@ class GemmProfiler
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setting_.n_repeat_,
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setting_.is_gpu_timer_,
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setting_.flush_cache_,
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setting_.rotating_count_,
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setting_.bench_time_ms_});
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setting_.rotating_count_});
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process_result(gemm_problem,
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c_m_n_dev_buf,
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c_m_n_host_result,
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