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[LLM] First commit the llm deployment code
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57
custom_ops/gpu_ops/share_external_data.cu
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57
custom_ops/gpu_ops/share_external_data.cu
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// Copyright (c) 2025 PaddlePaddle Authors. 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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#include "helper.h"
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#include<stdlib.h>
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#include<string.h>
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#include<sys/types.h>
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#include<sys/stat.h>
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#include<unistd.h>
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#include<fcntl.h>
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#include<sys/mman.h>
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#include<stdio.h>
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#include "cuda_multiprocess.h"
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#include "paddle/phi/core/tensor_meta.h"
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std::vector<paddle::Tensor> ShareExternalData(paddle::Tensor& input,
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const std::string shm_name,
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const std::vector<int>& shape) {
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volatile shmStruct *shm = NULL;
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sharedMemoryInfo info;
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if (sharedMemoryOpen(shm_name.c_str(), sizeof(shmStruct), &info) != 0) {
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printf("Failed to create shared memory slab\n");
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printf("Func ShareExternalData. Shm_name: %s\n", shm_name.c_str());
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exit(EXIT_FAILURE);
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}
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shm = (volatile shmStruct *)info.addr;
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void *ptr = nullptr;
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checkCudaErrors(
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cudaIpcOpenMemHandle(&ptr,
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*(cudaIpcMemHandle_t *)&shm->memHandle, // NOLINT
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cudaIpcMemLazyEnablePeerAccess));
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paddle::Tensor tmp_tensor = paddle::from_blob(
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ptr,
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shape,
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input.type()
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);
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sharedMemoryClose(&info);
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return {tmp_tensor};
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}
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PD_BUILD_STATIC_OP(share_external_data)
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.Inputs({"input"})
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.Outputs({"output"})
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.Attrs({"shm_name: std::string", "shape: std::vector<int>"})
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.SetKernelFn(PD_KERNEL(ShareExternalData));
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