Merge pull request #16506 from sneaxiy/revert-16424-fix_allocator_bug
Revert "Fix allocator bug"revert-16555-model_data_cryption_link_all_lib
commit
69cb9792ea
@ -1,91 +0,0 @@
|
|||||||
// Copyright (c) 2018 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 <gflags/gflags.h>
|
|
||||||
#include <gtest/gtest.h>
|
|
||||||
#include "paddle/fluid/memory/allocation/allocator_facade.h"
|
|
||||||
|
|
||||||
#ifdef PADDLE_WITH_CUDA
|
|
||||||
DECLARE_double(fraction_of_gpu_memory_to_use);
|
|
||||||
DECLARE_double(fraction_of_cuda_pinned_memory_to_use);
|
|
||||||
DECLARE_int64(gpu_allocator_retry_time);
|
|
||||||
#endif
|
|
||||||
|
|
||||||
DECLARE_string(allocator_strategy);
|
|
||||||
|
|
||||||
namespace paddle {
|
|
||||||
namespace memory {
|
|
||||||
namespace allocation {
|
|
||||||
|
|
||||||
TEST(allocator, allocator) {
|
|
||||||
#ifdef PADDLE_WITH_CUDA
|
|
||||||
FLAGS_fraction_of_gpu_memory_to_use = 0.01;
|
|
||||||
FLAGS_gpu_allocator_retry_time = 500;
|
|
||||||
FLAGS_fraction_of_cuda_pinned_memory_to_use = 0.5;
|
|
||||||
#endif
|
|
||||||
|
|
||||||
FLAGS_allocator_strategy = "naive_best_fit";
|
|
||||||
|
|
||||||
auto &instance = AllocatorFacade::Instance();
|
|
||||||
platform::Place place;
|
|
||||||
size_t size = 1024;
|
|
||||||
|
|
||||||
{
|
|
||||||
place = platform::CPUPlace();
|
|
||||||
size = 1024;
|
|
||||||
auto cpu_allocation = instance.Alloc(place, size);
|
|
||||||
ASSERT_NE(cpu_allocation, nullptr);
|
|
||||||
ASSERT_NE(cpu_allocation->ptr(), nullptr);
|
|
||||||
ASSERT_EQ(cpu_allocation->place(), place);
|
|
||||||
ASSERT_EQ(cpu_allocation->size(), size);
|
|
||||||
}
|
|
||||||
|
|
||||||
#ifdef PADDLE_WITH_CUDA
|
|
||||||
{
|
|
||||||
place = platform::CUDAPlace(0);
|
|
||||||
size = 1024;
|
|
||||||
auto gpu_allocation = instance.Alloc(place, size);
|
|
||||||
ASSERT_NE(gpu_allocation, nullptr);
|
|
||||||
ASSERT_NE(gpu_allocation->ptr(), nullptr);
|
|
||||||
ASSERT_EQ(gpu_allocation->place(), place);
|
|
||||||
ASSERT_GE(gpu_allocation->size(), size);
|
|
||||||
}
|
|
||||||
|
|
||||||
{
|
|
||||||
// Allocate 2GB gpu memory
|
|
||||||
place = platform::CUDAPlace(0);
|
|
||||||
size = 2 * static_cast<size_t>(1 << 30);
|
|
||||||
auto gpu_allocation = instance.Alloc(place, size);
|
|
||||||
ASSERT_NE(gpu_allocation, nullptr);
|
|
||||||
ASSERT_NE(gpu_allocation->ptr(), nullptr);
|
|
||||||
ASSERT_EQ(gpu_allocation->place(), place);
|
|
||||||
ASSERT_GE(gpu_allocation->size(), size);
|
|
||||||
}
|
|
||||||
|
|
||||||
{
|
|
||||||
place = platform::CUDAPinnedPlace();
|
|
||||||
size = (1 << 20);
|
|
||||||
auto cuda_pinned_allocation =
|
|
||||||
instance.Alloc(platform::CUDAPinnedPlace(), 1 << 20);
|
|
||||||
ASSERT_NE(cuda_pinned_allocation, nullptr);
|
|
||||||
ASSERT_NE(cuda_pinned_allocation->ptr(), nullptr);
|
|
||||||
ASSERT_EQ(cuda_pinned_allocation->place(), place);
|
|
||||||
ASSERT_GE(cuda_pinned_allocation->size(), size);
|
|
||||||
}
|
|
||||||
#endif
|
|
||||||
}
|
|
||||||
|
|
||||||
} // namespace allocation
|
|
||||||
} // namespace memory
|
|
||||||
} // namespace paddle
|
|
Some files were not shown because too many files have changed in this diff Show More
Loading…
Reference in new issue