mirror of
https://github.com/NVIDIA/TensorRT-LLM.git
synced 2026-01-14 06:27:45 +08:00
89 lines
3.5 KiB
C++
89 lines
3.5 KiB
C++
/*
|
|
* SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
|
|
* SPDX-License-Identifier: Apache-2.0
|
|
*
|
|
* 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.
|
|
*/
|
|
|
|
#pragma once
|
|
|
|
#include "dataTransceiver.h"
|
|
#include "tensorrt_llm/batch_manager/kvCacheManager.h"
|
|
#include "tensorrt_llm/batch_manager/kvCacheUtils.h"
|
|
#include "tensorrt_llm/common/logger.h"
|
|
#include "tensorrt_llm/executor/cache_transmission/cacheConcatenate.h"
|
|
#include "tensorrt_llm/executor/dataTransceiverState.h"
|
|
#include "tensorrt_llm/runtime/bufferManager.h"
|
|
#include "tensorrt_llm/runtime/iTensor.h"
|
|
#include <NvInferRuntimeBase.h>
|
|
#include <condition_variable>
|
|
#include <cstddef>
|
|
#include <cstdint>
|
|
#include <iterator>
|
|
|
|
namespace tensorrt_llm::batch_manager::kv_cache_manager
|
|
{
|
|
|
|
// Simple cache block copy. Because it does not involve data splitting or merging, it performs best when the
|
|
// parallel topology is completely identical, making it the preferred method.
|
|
class MLACacheFormatter final : public IOFormatter
|
|
{
|
|
public:
|
|
using CacheState = executor::kv_cache::CacheState;
|
|
|
|
MLACacheFormatter(BaseKVCacheManager* cacheManager)
|
|
: mCacheManager{cacheManager}
|
|
{
|
|
TLLM_CHECK(mCacheManager);
|
|
}
|
|
|
|
void formatOutput(LlmRequest const& llmRequest,
|
|
std::vector<executor::kv_cache::Connection const*> const& connections, CacheState const& selfConfig,
|
|
SizeType32 selfIdx, CacheState const& destConfig, runtime::BufferManager const& bufferManager) override;
|
|
|
|
void formatInput(LlmRequest const& llmRequest,
|
|
std::vector<executor::kv_cache::Connection const*> const& connections, CacheState const& selfConfig,
|
|
SizeType32 selfIdx, CacheState const& destConfig, runtime::BufferManager const& bufferManager) override;
|
|
|
|
[[nodiscard]] bool inquireSupport(CacheState const& selfConfig, CacheState const& destConfig) const override;
|
|
|
|
[[nodiscard]] std::vector<SizeType32> getCounterparts(
|
|
CacheState const& selfConfig, SizeType32 selfIdx, CacheState const& destConfig) const override
|
|
{
|
|
return executor::kv_cache::targetIRanks(destConfig, selfConfig, selfIdx).mIRanks;
|
|
}
|
|
|
|
static bool needSendCache(CacheState const& selfConfig, CacheState const& destConfig, runtime::SizeType32 selfIdx);
|
|
static std::vector<executor::kv_cache::Connection const*> pickRecvConnections(
|
|
std::vector<executor::kv_cache::Connection const*> const& connections, CacheState const& selfConfig,
|
|
SizeType32 selfIdx, CacheState const& destConfig);
|
|
|
|
private:
|
|
BaseKVCacheManager* mCacheManager{};
|
|
|
|
struct ConcurrenceSendResource
|
|
{
|
|
std::unordered_map<int, runtime::ITensor::SharedPtr> mSendbuffers;
|
|
std::mutex mSendbuffersMutex;
|
|
std::condition_variable mSendbuffersCV;
|
|
std::atomic_int mConcurrence = 0;
|
|
};
|
|
|
|
ConcurrenceSendResource mConcurrenceSendResource;
|
|
|
|
std::unordered_map<std::string, runtime::ITensor::SharedPtr> mProcessToRecvBuffer;
|
|
std::mutex mProcessToRecvBufferMutex;
|
|
};
|
|
|
|
} // namespace tensorrt_llm::batch_manager::kv_cache_manager
|