mirror of
https://github.com/NVIDIA/TensorRT-LLM.git
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52 lines
1.7 KiB
C++
52 lines
1.7 KiB
C++
/*
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* Copyright (c) 2022-2023, NVIDIA CORPORATION. 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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*/
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#include <gtest/gtest.h>
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#include "tensorrt_llm/common/cudaAllocator.h"
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#include "tensorrt_llm/runtime/bufferManager.h"
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#include "tensorrt_llm/runtime/cudaStream.h"
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#include <memory>
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namespace tc = tensorrt_llm::common;
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namespace tr = tensorrt_llm::runtime;
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TEST(Allocator, DeviceDestruction)
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{
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auto streamPtr = std::make_shared<tr::CudaStream>();
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{
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auto allocator = std::make_unique<tc::CudaAllocator>(tr::BufferManager(streamPtr));
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auto constexpr sizeBytes = 1024 * 1024;
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void* ptr{};
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// device alloc
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ptr = allocator->reMalloc(ptr, sizeBytes, false);
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EXPECT_NE(ptr, nullptr);
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allocator->free(&ptr);
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EXPECT_EQ(ptr, nullptr);
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ptr = allocator->reMalloc(ptr, sizeBytes, true);
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EXPECT_NE(ptr, nullptr);
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ptr = allocator->reMalloc(ptr, sizeBytes / 2, true);
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EXPECT_NE(ptr, nullptr);
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ptr = allocator->reMalloc(ptr, sizeBytes * 2, true);
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EXPECT_NE(ptr, nullptr);
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ptr = allocator->reMalloc(ptr, sizeBytes, false);
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EXPECT_NE(ptr, nullptr);
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}
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streamPtr->synchronize();
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}
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