TensorRT-LLMs/cpp/tensorrt_llm/common/cudaAllocator.cpp
2023-09-20 00:29:41 -07:00

74 lines
2.1 KiB
C++

/*
* Copyright (c) 2022-2023, NVIDIA CORPORATION. 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 "cudaAllocator.h"
#include "tensorrt_llm/common/cudaUtils.h"
#include <utility>
using namespace tensorrt_llm::common;
namespace tr = tensorrt_llm::runtime;
CudaAllocator::CudaAllocator(tr::BufferManager bufferManager)
: mBufferManager(std::move(bufferManager))
{
}
ReallocType CudaAllocator::reallocType(void const* ptr, size_t size) const
{
TLLM_CHECK(contains(ptr));
auto const currentSize = mPointerMapping.at(ptr)->getSize();
TLLM_LOG_DEBUG("current_buffer_size: %d, original buffer: %p, new buffer: %d", currentSize, ptr, size);
if (currentSize < size)
{
return ReallocType::INCREASE;
}
else if (currentSize == size)
{
return ReallocType::REUSE;
}
else
{
return ReallocType::DECREASE;
}
}
void* CudaAllocator::malloc(std::size_t size, bool const setZero)
{
TLLM_LOG_DEBUG(__PRETTY_FUNCTION__);
auto bufferPtr = mBufferManager.gpu(size);
if (setZero)
{
mBufferManager.setZero(*bufferPtr);
}
void* ptr{bufferPtr->data()};
TLLM_LOG_DEBUG("malloc buffer %p with size %ld", ptr, size);
mPointerMapping.insert({ptr, std::move(bufferPtr)});
return ptr;
}
void CudaAllocator::free(void** ptr)
{
TLLM_LOG_DEBUG(__PRETTY_FUNCTION__);
mPointerMapping.erase(*ptr);
*ptr = nullptr;
}
void CudaAllocator::memSet(void* ptr, int const val, size_t const size)
{
check_cuda_error(cudaMemsetAsync(ptr, val, size, mBufferManager.getStream().get()));
}