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Make global scope not thread-safe #4850

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Oct 17, 2017
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14 changes: 5 additions & 9 deletions paddle/framework/scope.cc
Original file line number Diff line number Diff line change
Expand Up @@ -65,16 +65,12 @@ void Scope::DropKids() {
kids_.clear();
}

std::once_flag feed_variable_flag;

framework::Scope& GetGlobalScope() {
static std::unique_ptr<framework::Scope> g_scope{nullptr};
std::call_once(feed_variable_flag, [&]() {
g_scope.reset(new framework::Scope());
g_scope->Var("feed_value");
g_scope->Var("fetch_value");
});
return *(g_scope.get());
static framework::Scope* g_scope = nullptr;
if (g_scope == nullptr) {
g_scope = new framework::Scope();
}
return *g_scope;
}

} // namespace framework
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51 changes: 15 additions & 36 deletions paddle/memory/memory.cc
Original file line number Diff line number Diff line change
Expand Up @@ -14,11 +14,6 @@ limitations under the License. */

#include "paddle/memory/memory.h"

#include <algorithm> // for transform
#include <cstring> // for memcpy
#include <memory> // for unique_ptr
#include <mutex> // for call_once

#include "glog/logging.h"

#include "paddle/memory/detail/buddy_allocator.h"
Expand All @@ -32,19 +27,14 @@ namespace memory {

using BuddyAllocator = detail::BuddyAllocator;

std::once_flag cpu_allocator_flag;
std::once_flag gpu_allocator_flag;

BuddyAllocator* GetCPUBuddyAllocator() {
static std::unique_ptr<BuddyAllocator> a{nullptr};

std::call_once(cpu_allocator_flag, [&]() {
a.reset(new BuddyAllocator(new detail::CPUAllocator,
platform::CpuMinChunkSize(),
platform::CpuMaxChunkSize()));
});

return a.get();
static detail::BuddyAllocator* a = nullptr;
if (a == nullptr) {
a = new detail::BuddyAllocator(new detail::CPUAllocator,
platform::CpuMinChunkSize(),
platform::CpuMaxChunkSize());
}
return a;
}

template <>
Expand All @@ -65,35 +55,24 @@ size_t Used<platform::CPUPlace>(platform::CPUPlace place) {
#ifdef PADDLE_WITH_CUDA

BuddyAllocator* GetGPUBuddyAllocator(int gpu_id) {
using BuddyAllocVec = std::vector<BuddyAllocator*>;
static std::unique_ptr<BuddyAllocVec, void (*)(BuddyAllocVec * p)> as{
new BuddyAllocVec, [](BuddyAllocVec* p) {
std::for_each(p->begin(), p->end(),
[](BuddyAllocator* p) { delete p; });
}};

// GPU buddy allocators
auto& allocators = *as.get();

// GPU buddy allocator initialization
std::call_once(gpu_allocator_flag, [&]() {
static BuddyAllocator** as = NULL;
if (as == NULL) {
int gpu_num = platform::GetCUDADeviceCount();
allocators.reserve(gpu_num);
as = new BuddyAllocator*[gpu_num];
for (int gpu = 0; gpu < gpu_num; gpu++) {
platform::SetDeviceId(gpu);
allocators.emplace_back(new BuddyAllocator(new detail::GPUAllocator,
platform::GpuMinChunkSize(),
platform::GpuMaxChunkSize()));
as[gpu] = new BuddyAllocator(new detail::GPUAllocator,
platform::GpuMinChunkSize(),
platform::GpuMaxChunkSize());
}
VLOG(3) << "\n\nNOTE: each GPU device use "
<< FLAGS_fraction_of_gpu_memory_to_use * 100 << "% of GPU memory.\n"
<< "You can set environment variable '"
<< platform::kEnvFractionGpuMemoryToUse
<< "' to change the fraction of GPU usage.\n\n";
});

}
platform::SetDeviceId(gpu_id);
return allocators[gpu_id];
return as[gpu_id];
}

template <>
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