mirror of
https://github.com/NVIDIA/TensorRT-LLM.git
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317 lines
12 KiB
C++
317 lines
12 KiB
C++
/*
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* SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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* SPDX-License-Identifier: Apache-2.0
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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 <cstdint>
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#include "tensorrt_llm/batch_manager/kvCacheTransferManager.h"
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#include "tensorrt_llm/batch_manager/kvCacheEventManager.h"
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#include "tensorrt_llm/batch_manager/kvCacheManager.h"
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#include "tensorrt_llm/common/logger.h"
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#include "tensorrt_llm/executor/executor.h"
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#include "tensorrt_llm/kernels/kvCachePartialCopy.h"
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#include "tensorrt_llm/runtime/bufferManager.h"
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#include "tensorrt_llm/runtime/cudaEvent.h"
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#include "tensorrt_llm/runtime/cudaStream.h"
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#ifdef ENABLE_CUFILE
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#include <cufile.h>
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#endif
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#include <fcntl.h>
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#include <sys/stat.h>
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#include <sys/types.h>
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#include <unistd.h>
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#include <cstring>
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#include <string>
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#include <vector>
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namespace tr = tensorrt_llm::runtime;
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namespace tk = tensorrt_llm::kernels;
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namespace tensorrt_llm::batch_manager::kv_cache_manager
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{
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static bool gpuToFilePosix(tr::ITensor::SharedPtr const& srcPtr, std::string const& filename)
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{
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int fd = ::open(filename.c_str(), O_CREAT | O_WRONLY, 0664);
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TLLM_CHECK_WITH_INFO(fd >= 0, "Failed to open '%s' for writing (POSIX fallback)", filename.c_str());
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ssize_t numBytes = static_cast<ssize_t>(srcPtr->getSizeInBytes());
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std::vector<uint8_t> hostBuffer(numBytes);
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cudaError_t cpyErr = cudaMemcpy(hostBuffer.data(), srcPtr->data(), numBytes, cudaMemcpyDeviceToHost);
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TLLM_CHECK_WITH_INFO(cpyErr == cudaSuccess, "cudaMemcpy to host failed, error=%d", cpyErr);
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ssize_t written = ::write(fd, hostBuffer.data(), numBytes);
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TLLM_CHECK_WITH_INFO(written >= 0, "POSIX write error=%zd", written);
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TLLM_LOG_DEBUG("Wrote %zd bytes to %s (POSIX fallback)", written, filename.c_str());
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::close(fd);
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return true;
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}
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static bool fileToGpuPosix(tr::ITensor::SharedPtr const& dstPtr, std::string const& filename)
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{
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int fd = ::open(filename.c_str(), O_RDONLY);
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TLLM_CHECK_WITH_INFO(fd >= 0, "Failed to open '%s' for reading (POSIX fallback)", filename.c_str());
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ssize_t numBytes = static_cast<ssize_t>(dstPtr->getSizeInBytes());
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std::vector<uint8_t> hostBuffer(numBytes);
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ssize_t bytesRead = ::read(fd, hostBuffer.data(), numBytes);
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TLLM_CHECK_WITH_INFO(bytesRead >= 0, "POSIX read error=%zd", bytesRead);
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TLLM_LOG_DEBUG("Read %zd bytes from %s (POSIX fallback)", bytesRead, filename.c_str());
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cudaError_t cpyErr = cudaMemcpy(dstPtr->data(), hostBuffer.data(), numBytes, cudaMemcpyHostToDevice);
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TLLM_CHECK_WITH_INFO(cpyErr == cudaSuccess, "cudaMemcpy to device failed, error=%d", cpyErr);
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::close(fd);
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return true;
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}
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KVCacheTransferManager::KVCacheTransferManager(tr::BufferManager const& bufferManager)
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: mBufferManager{bufferManager}
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, mOnboardManager(std::make_shared<tr::CudaStream>())
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, mOffloadManager(std::make_shared<tr::CudaStream>())
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{
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}
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tr::ITensor::SharedPtr KVCacheTransferManager::computeBlockPointer(
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BlockPtr const& block, std::vector<KVCacheBlockPool> const& pools, size_t poolIdx)
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{
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TLLM_CHECK_WITH_INFO(!pools.empty(), "Pool index %lu is out of bounds", poolIdx);
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auto const& pool = pools.at(poolIdx);
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auto ptr = block->isPrimary() ? pool.primaryPtr : pool.secondaryPtr;
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auto const blockOffset = block->getMemoryPoolBlockIndex();
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tr::ITensor::SharedPtr blockTensor{tr::ITensor::slice(ptr, blockOffset, 1)};
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return blockTensor;
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}
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void KVCacheTransferManager::copyBlock(BlockPtr const& src, BlockPtr const& dst,
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std::vector<KVCacheBlockPool> const& pools, bool isOffload, int numTokensToCopy, executor::KvCacheTransferMode mode,
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std::optional<std::string> directory)
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{
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TLLM_LOG_DEBUG("copyBlock entered: srcId=%d, dstId=%d, isOffload=%s, mode=%d", src->getBlockId(), dst->getBlockId(),
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(isOffload ? "true" : "false"), static_cast<int>(mode));
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if (mode == executor::KvCacheTransferMode::DRAM)
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{
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TLLM_LOG_DEBUG("Using DRAM-based copy (GPU <-> CPU) for this block.");
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// Iterate over all pools, partial-copy logic
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for (size_t poolIdx = 0; poolIdx < pools.size(); ++poolIdx)
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{
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auto srcPtr = computeBlockPointer(src, pools, poolIdx);
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auto dstPtr = computeBlockPointer(dst, pools, poolIdx);
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// If no partial tokens or if the dataType is not supported for partial copy, copy entire block.
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if (numTokensToCopy <= 0 || srcPtr->getDataType() == nvinfer1::DataType::kINT4
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|| srcPtr->getDataType() == nvinfer1::DataType::kFP4)
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{
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// For partial copy not implemented with these data types,
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// just do a full copy.
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(isOffload ? mOffloadManager : mOnboardManager).copy(*srcPtr, *dstPtr);
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}
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else
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{
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int const tokensPerBlock = pools[poolIdx].tokensPerBlock;
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if (numTokensToCopy >= tokensPerBlock)
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{
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// If requested tokens >= entire block, just do a full copy.
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(isOffload ? mOffloadManager : mOnboardManager).copy(*srcPtr, *dstPtr);
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}
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else
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{
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auto stream = (isOffload ? mOffloadManager : mOnboardManager).getStream().get();
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int const numLayers = pools[poolIdx].numLayers;
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int const kvFactor = pools[poolIdx].kvFactor;
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int const numHeads = pools[poolIdx].numKvHeads;
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int const sizePerHead = pools[poolIdx].sizePerHead;
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auto shape = srcPtr->getShape();
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TLLM_CHECK_WITH_INFO(
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shape.nbDims == 4, "Expected KVCache block to have 4 dims, got %d", shape.nbDims);
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tk::kvCacheBlockPartialCopy(*dstPtr, *srcPtr, numLayers, numHeads, tokensPerBlock, sizePerHead,
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numTokensToCopy, kvFactor, stream);
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}
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}
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}
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TLLM_LOG_DEBUG("copyBlock: DRAM mode complete. Returning...");
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return;
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}
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for (size_t poolIdx = 0; poolIdx < pools.size(); ++poolIdx)
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{
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auto srcPtr = computeBlockPointer(src, pools, poolIdx);
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auto dstPtr = computeBlockPointer(dst, pools, poolIdx);
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TLLM_CHECK_WITH_INFO(
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directory.has_value(), "Expected a directory path for KVCache offload, but none was provided.");
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int size = std::snprintf(
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nullptr, 0, "%s/block_%d_pool_%zu.bin", directory.value().c_str(), src->getBlockId(), poolIdx);
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std::string filename(size + 1, '\0');
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std::snprintf(filename.data(), filename.size(), "%s/block_%d_pool_%zu.bin", directory.value().c_str(),
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src->getBlockId(), poolIdx);
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if (mode == executor::KvCacheTransferMode::POSIX_DEBUG_FALLBACK)
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{
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TLLM_LOG_INFO("Forcing POSIX fallback for file: %s", filename.c_str());
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if (isOffload)
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{
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gpuToFilePosix(srcPtr, filename);
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}
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else
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{
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fileToGpuPosix(dstPtr, filename);
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}
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continue;
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}
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int openFlags = isOffload ? (O_CREAT | O_WRONLY) : O_RDONLY;
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int fd = ::open(filename.c_str(), openFlags, 0664);
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if (fd < 0)
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{
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TLLM_LOG_ERROR(
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"Failed to open '%s' for %s; fallback POSIX", filename.c_str(), (isOffload ? "writing" : "reading"));
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if (isOffload)
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{
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gpuToFilePosix(srcPtr, filename);
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}
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else
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{
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fileToGpuPosix(dstPtr, filename);
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}
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continue;
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}
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#ifdef ENABLE_CUFILE
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CUfileDescr_t cufileDesc = {};
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cufileDesc.type = CU_FILE_HANDLE_TYPE_OPAQUE_FD;
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cufileDesc.handle.fd = fd;
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CUfileHandle_t cufileHandle;
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CUfileError_t status = cuFileHandleRegister(&cufileHandle, &cufileDesc);
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if (status.err != CU_FILE_SUCCESS)
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{
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// Fallback to POSIX
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TLLM_LOG_WARN(
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"cuFileHandleRegister failed (err=%d). Falling back to POSIX for '%s'", status.err, filename.c_str());
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::close(fd);
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if (isOffload)
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gpuToFilePosix(srcPtr, filename);
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else
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fileToGpuPosix(dstPtr, filename);
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continue;
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}
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ssize_t numBytes = static_cast<ssize_t>(srcPtr->getSizeInBytes());
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if (isOffload)
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{
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ssize_t written = cuFileWrite(cufileHandle, srcPtr->data(), numBytes, 0, 0);
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if (written < 0)
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{
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TLLM_LOG_ERROR("cuFileWrite error=%zd. Fallback to POSIX", written);
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cuFileHandleDeregister(cufileHandle);
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::close(fd);
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gpuToFilePosix(srcPtr, filename);
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continue;
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}
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}
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else
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{
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ssize_t readCount = cuFileRead(cufileHandle, dstPtr->data(), numBytes, 0, 0);
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if (readCount < 0)
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{
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TLLM_LOG_ERROR("cuFileRead error=%zd. Fallback to POSIX", readCount);
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cuFileHandleDeregister(cufileHandle);
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::close(fd);
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fileToGpuPosix(dstPtr, filename);
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continue;
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}
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}
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cuFileHandleDeregister(cufileHandle);
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::close(fd);
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#else
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// If GDS isn't enabled, fallback to POSIX automatically
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TLLM_LOG_DEBUG("ENABLE_CUFILE=OFF, so fallback to POSIX for %s", filename.c_str());
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::close(fd); // close the file opened for GDS
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if (isOffload)
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{
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gpuToFilePosix(srcPtr, filename);
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}
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else
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{
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fileToGpuPosix(dstPtr, filename);
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}
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#endif
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}
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}
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void KVCacheTransferManager::onboard(BlockPtr const& offloadBlock, BlockPtr const& block,
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std::vector<KVCacheBlockPool> const& pools, int numTokensToCopy, executor::KvCacheTransferMode mode,
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std::optional<std::string> directory)
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{
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if (mode != executor::KvCacheTransferMode::DRAM
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&& mPendingOffloads.find(offloadBlock->getBlockId()) == mPendingOffloads.end())
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{
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TLLM_LOG_DEBUG("Skipping onboard for block %d because it was never previously offloaded to disk",
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offloadBlock->getBlockId());
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return;
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}
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if (mPendingOffloads.find(offloadBlock->getBlockId()) != mPendingOffloads.end())
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{
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mOnboardManager.getStream().wait(mPendingOffloads[offloadBlock->getBlockId()]);
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}
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copyBlock(offloadBlock, block, pools, false, numTokensToCopy, mode, directory);
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}
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void KVCacheTransferManager::offload(BlockPtr const& block, BlockPtr const& offloadBlock,
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std::vector<KVCacheBlockPool> const& pools, int numTokensToCopy, executor::KvCacheTransferMode mode,
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std::optional<std::string> directory)
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{
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mPendingOffloads[block->getBlockId()] = tr::CudaEvent();
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copyBlock(block, offloadBlock, pools, true, numTokensToCopy, mode, directory);
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mOffloadManager.getStream().record(mPendingOffloads[block->getBlockId()]);
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}
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void KVCacheTransferManager::syncTransfers()
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{
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tr::CudaEvent offloadEvent;
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mOffloadManager.getStream().record(offloadEvent);
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tr::CudaEvent onboardEvent;
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mOnboardManager.getStream().record(onboardEvent);
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mBufferManager.getStream().wait(offloadEvent);
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mBufferManager.getStream().wait(onboardEvent);
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// Once we synchronize, clear our list of pending thransfers.
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mPendingOffloads.clear();
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}
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} // namespace tensorrt_llm::batch_manager::kv_cache_manager
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