add include headers to fix travis-ci test=developrevert-16555-model_data_cryption_link_all_lib
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// Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#include <gflags/gflags.h>
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#include <gtest/gtest.h>
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#include "paddle/fluid/memory/allocation/allocator_facade.h"
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#ifdef PADDLE_WITH_CUDA
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DECLARE_double(fraction_of_gpu_memory_to_use);
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DECLARE_double(fraction_of_cuda_pinned_memory_to_use);
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DECLARE_int64(gpu_allocator_retry_time);
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#endif
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DECLARE_string(allocator_strategy);
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namespace paddle {
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namespace memory {
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namespace allocation {
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TEST(allocator, allocator) {
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#ifdef PADDLE_WITH_CUDA
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FLAGS_fraction_of_gpu_memory_to_use = 0.01;
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FLAGS_gpu_allocator_retry_time = 500;
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FLAGS_fraction_of_cuda_pinned_memory_to_use = 0.5;
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#endif
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FLAGS_allocator_strategy = "naive_best_fit";
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auto &instance = AllocatorFacade::Instance();
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platform::Place place;
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size_t size = 1024;
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{
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place = platform::CPUPlace();
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size = 1024;
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auto cpu_allocation = instance.Alloc(place, size);
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ASSERT_NE(cpu_allocation, nullptr);
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ASSERT_NE(cpu_allocation->ptr(), nullptr);
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ASSERT_EQ(cpu_allocation->place(), place);
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ASSERT_EQ(cpu_allocation->size(), size);
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}
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#ifdef PADDLE_WITH_CUDA
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{
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place = platform::CUDAPlace(0);
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size = 1024;
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auto gpu_allocation = instance.Alloc(place, size);
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ASSERT_NE(gpu_allocation, nullptr);
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ASSERT_NE(gpu_allocation->ptr(), nullptr);
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ASSERT_EQ(gpu_allocation->place(), place);
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ASSERT_GE(gpu_allocation->size(), size);
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}
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{
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// Allocate 2GB gpu memory
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place = platform::CUDAPlace(0);
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size = 2 * static_cast<size_t>(1 << 30);
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auto gpu_allocation = instance.Alloc(place, size);
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ASSERT_NE(gpu_allocation, nullptr);
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ASSERT_NE(gpu_allocation->ptr(), nullptr);
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ASSERT_EQ(gpu_allocation->place(), place);
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ASSERT_GE(gpu_allocation->size(), size);
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}
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{
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place = platform::CUDAPinnedPlace();
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size = (1 << 20);
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auto cuda_pinned_allocation =
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instance.Alloc(platform::CUDAPinnedPlace(), 1 << 20);
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ASSERT_NE(cuda_pinned_allocation, nullptr);
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ASSERT_NE(cuda_pinned_allocation->ptr(), nullptr);
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ASSERT_EQ(cuda_pinned_allocation->place(), place);
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ASSERT_GE(cuda_pinned_allocation->size(), size);
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}
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#endif
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}
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} // namespace allocation
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} // namespace memory
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} // namespace paddle
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