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// Copyright 2016 The Gemmlowp Authors. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
#ifndef GEMMLOWP_META_MULTI_THREAD_GEMM_H_
#define GEMMLOWP_META_MULTI_THREAD_GEMM_H_
#include "multi_thread_common.h"
#include "single_thread_gemm.h"
namespace gemmlowp {
namespace meta {
namespace internal {
const std::int32_t kMinGemmTaskSize = 16000;
const std::int32_t kMinGemmTaskDimension = 4;
template <typename Executor, typename Params>
std::uint8_t* PrepareGemmTask(const Params& params, int kernel_m, int kernel_n,
int kernel_k, std::uint8_t* scratch, int m_start,
int m, int n_start, int n,
std::vector<Params>* tasks) {
tasks->push_back(params);
Params& task = tasks->back();
task.scratch = scratch;
task.m = m;
task.lhs =
StreamUtil<typename Params::InType, typename Params::LeftStream>::Offset(
params.left_stream, params.lhs, m_start, 0);
task.n = n;
task.rhs =
StreamUtil<typename Params::InType, typename Params::RightStream>::Offset(
params.right_stream, params.rhs, n_start, 0);
task.result =
StreamUtil<typename Params::OutType, typename Params::OutputStream>::
Offset(params.fused_kernel.output_stream, params.result, m_start,
n_start);
return scratch + Executor::template EstimateScratchSize<Params>(
task, kernel_m, kernel_n, kernel_k);
}
template <typename MultiThreadingContext, typename Executor, typename Params>
bool PrepareGemmTasks(MultiThreadingContext* context, const Params& params,
int kernel_m, int kernel_n, int kernel_k,
std::vector<Params>* task_params) {
const int max_threads = ResolveMaxThreads(context->max_num_threads());
const int max_tasks_by_size =
(params.m * params.n * params.k) / kMinGemmTaskSize;
const int max_tasks_m = params.m / kMinGemmTaskDimension;
const int max_tasks_n = params.n / kMinGemmTaskDimension;
const int max_tasks_dimension = std::max(max_tasks_m, max_tasks_n);
const int real_tasks = std::max(
1,
std::min(max_threads, std::min(max_tasks_by_size, max_tasks_dimension)));
if (real_tasks == 1) {
return false;
}
std::uint8_t* scratch = params.scratch;
if (max_tasks_m > max_tasks_n) {
const int m_chunk = params.m / real_tasks;
for (int i = 0; i < real_tasks - 1; ++i) {
scratch = PrepareGemmTask<Executor, Params>(
params, kernel_m, kernel_n, kernel_k, scratch, i * m_chunk, m_chunk,
0, params.n, task_params);
}
const int sum_m = (real_tasks - 1) * m_chunk;
PrepareGemmTask<Executor, Params>(params, kernel_m, kernel_n, kernel_k,
scratch, sum_m, params.m - sum_m, 0,
params.n, task_params);
} else {
const int n_chunk = params.n / real_tasks;
for (int i = 0; i < real_tasks - 1; ++i) {
scratch = PrepareGemmTask<Executor, Params>(
params, kernel_m, kernel_n, kernel_k, scratch, 0, params.m,
i * n_chunk, n_chunk, task_params);
}
int sum_n = (real_tasks - 1) * n_chunk;
PrepareGemmTask<Executor, Params>(params, kernel_m, kernel_n, kernel_k,
scratch, 0, params.m, sum_n,
params.n - sum_n, task_params);
}
return true;
}
template <typename Executor, typename Params, int kernel_m, int kernel_n,
int kernel_k>
struct GemmTaskRunner : gemmlowp::Task {
GemmTaskRunner(const Params& params) : params(params) {}
void Run() override {
Gemm<Executor, Params, kernel_m, kernel_n, kernel_k>(params);
}
Params params;
};
} // namespace internal
template <typename MultiThreadingContext, typename Executor, typename Params,
int kernel_m, int kernel_n, int kernel_k>
inline void MultiThreadGemm(MultiThreadingContext* context,
const Params& params) {
typedef internal::GemmTaskRunner<Executor, Params, kernel_m, kernel_n,
kernel_k>
TaskRunnerType;
std::vector<Params> task_params;
if (!internal::PrepareGemmTasks<MultiThreadingContext, Executor, Params>(
context, params, kernel_m, kernel_n, kernel_k, &task_params)) {
Gemm<Executor, Params, kernel_m, kernel_n, kernel_k>(params);
return;
}
auto workers_pool = context->workers_pool();
std::vector<Task*> tasks;
for (auto& task_param : task_params) {
tasks.push_back(new TaskRunnerType(task_param));
};
workers_pool->Execute(tasks);
}
} // namespace meta
} // namespace gemmlowp
#endif // GEMMLOWP_META_MULTI_THREAD_GEMM_H_
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