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paddlepaddle--paddle/paddle/phi/backends/context_pool.cc
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2026-07-13 12:40:42 +08:00

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/* Copyright (c) 2023 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. */
#include "paddle/phi/backends/context_pool.h"
#include "glog/logging.h"
#include "paddle/common/flags.h"
#include "paddle/phi/common/memory_utils.h"
#include "paddle/phi/core/enforce.h"
COMMON_DECLARE_bool(use_default_stream);
namespace phi {
#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP) || \
defined(PADDLE_WITH_CUSTOM_DEVICE)
#if defined(PADDLE_WITH_CUSTOM_DEVICE)
bool allow_tf32_cublas = true;
#else
bool allow_tf32_cublas = false;
#endif
void SetAllowTF32Cublas(bool active) { allow_tf32_cublas = active; }
bool AllowTF32Cublas() { return allow_tf32_cublas; }
bool allow_tf32_cudnn = true;
void SetAllowTF32Cudnn(bool active) { allow_tf32_cudnn = active; }
bool AllowTF32Cudnn() { return allow_tf32_cudnn; }
#endif // PADDLE_WITH_CUDA
static DeviceContextPool* pool = nullptr;
TEST_API DeviceContextPool& DeviceContextPool::Instance() {
PADDLE_ENFORCE_NOT_NULL(pool,
common::errors::PreconditionNotMet(
"Need to Create DeviceContextPool firstly!"));
return *pool;
}
/*! \brief Create should only called by Init function */
TEST_API DeviceContextPool& DeviceContextPool::Init(
const std::vector<Place>& places) {
if (pool == nullptr) {
pool = new DeviceContextPool(places);
}
return *pool;
}
TEST_API bool DeviceContextPool::IsInitialized() { return pool != nullptr; }
TEST_API void DeviceContextPool::SetPool(DeviceContextPool* dev_pool) {
pool = dev_pool;
}
thread_local const std::map<Place,
std::shared_future<std::unique_ptr<DeviceContext>>>*
DeviceContextPool::external_device_contexts_ = nullptr;
TEST_API DeviceContext* DeviceContextPool::Get(const Place& place) {
VLOG(6) << "DeviceContextPool Get: " << place;
const std::map<Place, std::shared_future<std::unique_ptr<DeviceContext>>>*
ptr = nullptr;
if (external_device_contexts_ && external_device_contexts_->count(place)) {
ptr = external_device_contexts_;
} else {
ptr = &device_contexts_;
}
auto it = ptr->find(place);
if (it == ptr->end()) {
PADDLE_THROW(common::errors::Unimplemented(
"Place %s is not supported. Please check that your paddle compiles "
"with WITH_GPU, WITH_XPU or WITH_IPU option "
"or check "
"that your train process set the correct device id if you use "
"Executor.",
place));
}
return it->second.get().get();
}
TEST_API size_t DeviceContextPool::Size() const {
if (external_device_contexts_) {
return external_device_contexts_->size();
}
return device_contexts_.size();
}
TEST_API const
std::map<Place, std::shared_future<std::unique_ptr<DeviceContext>>>&
DeviceContextPool::device_contexts() const {
if (external_device_contexts_) {
return *external_device_contexts_;
}
return device_contexts_;
}
TEST_API void DeviceContextPool::SetDeviceContexts(
const std::map<Place, std::shared_future<std::unique_ptr<DeviceContext>>>*
dev_ctxs) {
external_device_contexts_ = dev_ctxs;
}
DeviceContextPool::DeviceContextPool(const std::vector<Place>& places) {
memory_utils::EmplaceDeviceContexts(
&device_contexts_,
places,
/*disable_setting_default_stream_for_allocator=*/false,
/*stream_priority=*/0,
FLAGS_use_default_stream);
}
} // namespace phi