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paddlepaddle--paddle/paddle/phi/kernels/funcs/fft_cache.h
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2026-07-13 12:40:42 +08:00

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// Copyright (c) 2022 PaddlePaddle 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.
#pragma once
#include <functional>
#include <limits>
#include <list>
#include <memory>
#include <mutex>
#include <unordered_map>
#include <utility>
#if defined(PADDLE_WITH_CUDA)
#include "paddle/phi/kernels/funcs/cufft_util.h"
#elif defined(PADDLE_WITH_HIP)
#include "paddle/phi/kernels/funcs/hipfft_util.h"
#elif defined(PADDLE_WITH_XPU_FFT)
#include "paddle/phi/kernels/funcs/xpufft_util.h"
#endif
namespace phi {
namespace funcs {
namespace detail {
#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
#if CUDA_VERSION < 10000
// Note that the max plan number for CUDA version < 10 has to be 1023
// due to a bug that fails on the 1024th plan
constexpr size_t CUFFT_MAX_PLAN_NUM = 1023;
constexpr size_t CUFFT_DEFAULT_CACHE_SIZE = CUFFT_MAX_PLAN_NUM;
#else
constexpr size_t CUFFT_MAX_PLAN_NUM = std::numeric_limits<size_t>::max();
// The default max cache size chosen for CUDA version > 10 is arbitrary.
// This number puts a limit on how big of a plan cache should we maintain by
// default. Users can always configure it via cufft_set_plan_cache_max_size.
constexpr size_t CUFFT_DEFAULT_CACHE_SIZE = 4096;
#endif
#endif
#ifdef PADDLE_WITH_XPU_FFT
constexpr size_t CUFFT_MAX_PLAN_NUM = 1023;
constexpr size_t CUFFT_DEFAULT_CACHE_SIZE = CUFFT_MAX_PLAN_NUM;
#endif
static_assert(CUFFT_MAX_PLAN_NUM >= 0 &&
CUFFT_MAX_PLAN_NUM <= std::numeric_limits<size_t>::max(),
"CUFFT_MAX_PLAN_NUM not in size_t range");
static_assert(CUFFT_DEFAULT_CACHE_SIZE >= 0 &&
CUFFT_DEFAULT_CACHE_SIZE <= CUFFT_MAX_PLAN_NUM,
"CUFFT_DEFAULT_CACHE_SIZE not in [0, CUFFT_MAX_PLAN_NUM] range");
class FFTConfigCache {
public:
using kv_t = typename std::pair<FFTConfigKey, FFTConfig>;
using map_t =
typename std::unordered_map<std::reference_wrapper<FFTConfigKey>,
typename std::list<kv_t>::iterator,
KeyHash<FFTConfigKey>,
KeyEqual<FFTConfigKey>>;
using map_kkv_iter_t = typename map_t::iterator;
FFTConfigCache() : FFTConfigCache(CUFFT_DEFAULT_CACHE_SIZE) {}
explicit FFTConfigCache(int64_t max_size) { _set_max_size(max_size); }
FFTConfigCache(const FFTConfigCache& other) = delete;
FFTConfigCache& operator=(const FFTConfigCache& other) = delete;
FFTConfigCache(FFTConfigCache&& other) noexcept
: _usage_list(std::move(other._usage_list)),
_cache_map(std::move(other._cache_map)),
_max_size(other._max_size) {}
FFTConfigCache& operator=(FFTConfigCache&& other) noexcept {
_usage_list = std::move(other._usage_list);
_cache_map = std::move(other._cache_map);
_max_size = other._max_size;
return *this;
}
// If key is in this cache, return the cached config. Otherwise, emplace the
// config in this cache and return it.
FFTConfig& lookup(FFTConfigKey params) {
PADDLE_ENFORCE_GT(_max_size,
0,
common::errors::InvalidArgument(
"The max size of FFTConfigCache must be great than 0,"
"But received is [%d]",
_max_size));
map_kkv_iter_t map_it = _cache_map.find(params);
// Hit, put to list front
if (map_it != _cache_map.end()) {
_usage_list.splice(_usage_list.begin(), _usage_list, map_it->second);
return map_it->second->second;
}
// Miss
// remove if needed
if (_usage_list.size() >= _max_size) {
auto last = _usage_list.end();
last--;
_cache_map.erase(last->first);
_usage_list.pop_back();
}
// construct new plan at list front, then insert into _cache_map
_usage_list.emplace_front(std::piecewise_construct,
std::forward_as_tuple(params),
std::forward_as_tuple(params));
auto kv_it = _usage_list.begin();
_cache_map.emplace(std::piecewise_construct,
std::forward_as_tuple(kv_it->first),
std::forward_as_tuple(kv_it));
return kv_it->second;
}
void clear() {
_cache_map.clear();
_usage_list.clear();
}
void resize(int64_t new_size) {
_set_max_size(new_size);
auto cur_size = _usage_list.size();
if (cur_size > _max_size) {
auto delete_it = _usage_list.end();
for (size_t i = 0; i < cur_size - _max_size; i++) {
delete_it--;
_cache_map.erase(delete_it->first);
}
_usage_list.erase(delete_it, _usage_list.end());
}
}
size_t size() const { return _cache_map.size(); }
size_t max_size() const noexcept { return _max_size; }
std::mutex mutex;
private:
// Only sets size and does value check. Does not resize the data structures.
void _set_max_size(int64_t new_size) {
// We check that 0 <= new_size <= CUFFT_MAX_PLAN_NUM here. Since
// CUFFT_MAX_PLAN_NUM is of type size_t, we need to do non-negativity check
// first.
PADDLE_ENFORCE_GE(
new_size,
0,
common::errors::InvalidArgument(
"cuFFT plan cache size must be non-negative, But received is [%d]",
new_size));
PADDLE_ENFORCE_LE(new_size,
CUFFT_MAX_PLAN_NUM,
common::errors::InvalidArgument(
"cuFFT plan cache size can not be larger than [%d], "
"But received is [%d]",
CUFFT_MAX_PLAN_NUM,
new_size));
_max_size = static_cast<size_t>(new_size);
}
std::list<kv_t> _usage_list;
map_t _cache_map;
size_t _max_size;
};
static std::vector<std::unique_ptr<FFTConfigCache>> plan_caches;
static std::mutex plan_caches_mutex;
static inline FFTConfigCache& get_fft_plan_cache(int64_t device_index) {
std::lock_guard<std::mutex> guard(plan_caches_mutex);
if (device_index >= static_cast<int64_t>(plan_caches.size())) {
plan_caches.resize(device_index + 1);
}
if (!plan_caches[device_index]) {
plan_caches[device_index] = std::make_unique<FFTConfigCache>();
}
return *plan_caches[device_index];
}
} // namespace detail
} // namespace funcs
} // namespace phi