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100 changes: 100 additions & 0 deletions
100
paddle/fluid/memory/allocation/allocator_facade_abs_flags_test.cc
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| // 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. | ||
|
|
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| #include "paddle/fluid/memory/allocation/allocator_facade.h" | ||
| #include <gflags/gflags.h> | ||
| #include <gtest/gtest.h> | ||
|
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| #ifdef PADDLE_WITH_CUDA | ||
| DECLARE_double(fraction_of_gpu_memory_to_use); | ||
| DECLARE_double(fraction_of_cuda_pinned_memory_to_use); | ||
| DECLARE_uint64(initial_gpu_memory_in_mb); | ||
| DECLARE_uint64(reallocate_gpu_memory_in_mb); | ||
| DECLARE_int64(gpu_allocator_retry_time); | ||
| #endif | ||
|
|
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| namespace paddle { | ||
| namespace memory { | ||
| namespace allocation { | ||
|
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| //! Run allocate test cases for different places | ||
| void AllocateTestCases() { | ||
| auto &instance = AllocatorFacade::Instance(); | ||
| platform::Place place; | ||
| size_t size = 1024; | ||
|
|
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| { | ||
| 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); | ||
| } | ||
|
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| #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); | ||
| } | ||
|
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| { | ||
| // 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); | ||
| } | ||
|
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| { | ||
| 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 | ||
| } | ||
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| TEST(Allocator, SpecifyGpuMemory) { | ||
| #ifdef PADDLE_WITH_CUDA | ||
| // Set to 0.0 to test FLAGS_initial_gpu_memory_in_mb and | ||
| // FLAGS_reallocate_gpu_memory_in_mb | ||
| FLAGS_fraction_of_gpu_memory_to_use = 0.0; | ||
| // 512 MB | ||
| FLAGS_initial_gpu_memory_in_mb = 512; | ||
| // 4 MB | ||
| FLAGS_reallocate_gpu_memory_in_mb = 4; | ||
| FLAGS_gpu_allocator_retry_time = 500; | ||
| FLAGS_fraction_of_cuda_pinned_memory_to_use = 0.5; | ||
| #endif | ||
|
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| AllocateTestCases(); | ||
| } | ||
|
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| } // namespace allocation | ||
| } // namespace memory | ||
| } // namespace paddle |
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