mirror of
https://github.com/NVIDIA/TensorRT-LLM.git
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51 lines
1.6 KiB
C++
51 lines
1.6 KiB
C++
/*
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* Copyright (c) 2022-2024, 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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#pragma once
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#include "tensorrt_llm/common/assert.h"
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#include "tensorrt_llm/common/config.h"
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#include "tensorrt_llm/common/cudaUtils.h"
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#include "tensorrt_llm/kernels/communicationKernels/allReduceFusionKernels.h"
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#include "tensorrt_llm/runtime/ipcUtils.h"
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TRTLLM_NAMESPACE_BEGIN
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namespace kernels::ar_fusion
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{
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class Workspace
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{
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public:
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Workspace(int rank, int tp_size, int max_token_num, int hidden_dim,
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std::shared_ptr<tensorrt_llm::runtime::CudaStream> stream_ptr);
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~Workspace();
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void** get_workspace();
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private:
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tensorrt_llm::runtime::WorldConfig m_world_config;
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std::shared_ptr<tensorrt_llm::runtime::BufferManager> m_buffer_mgr;
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std::vector<tensorrt_llm::runtime::IpcMemory> m_ipc_mem_handles;
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void* m_workspace;
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std::shared_ptr<tensorrt_llm::runtime::CudaStream> m_cuda_stream;
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void* m_flag_d_ptr;
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void* m_layout_d_ptr;
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};
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void lamport_initialize(void* ptr, size_t bytes, cudaStream_t stream);
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} // namespace kernels::ar_fusion
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TRTLLM_NAMESPACE_END
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