/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve. 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 #include #include namespace paddle { namespace platform { static std::vector kCudaProfileConfiguration = { "gpustarttimestamp", "gpuendtimestamp", "gridsize3d", "threadblocksize", "dynsmemperblock", "stasmemperblock", "regperthread", "memtransfersize", "memtransferdir", "memtransferhostmemtype", "streamid", "cacheconfigrequested", "cacheconfigexecuted", "countermodeaggregate", "enableonstart 0", "active_warps", "active_cycles", }; void CudaProfilerInit(std::string output_file, std::string output_mode) { std::array buf; std::string tmpl = "/tmp/cuda_profile_config.XXXXXX"; PADDLE_ENFORCE_LT(tmpl.size(), buf.size()); memcpy(buf.data(), tmpl.data(), tmpl.size()); auto result = mktemp(buf.data()); PADDLE_ENFORCE(strlen(result) != 0); std::string config = result; { std::ofstream ofs(config, std::ios::out | std::ios::trunc); PADDLE_ENFORCE(ofs.is_open(), "ofstream: ", ofs.rdstate()); for (const auto& line : kCudaProfileConfiguration) { ofs << line << std::endl; } } PADDLE_ENFORCE(output_mode == "key_value" || output_mode == "csv"); cudaOutputMode_t mode = output_mode == "csv" ? cudaCSV : cudaKeyValuePair; PADDLE_ENFORCE( cudaProfilerInitialize(config.c_str(), output_file.c_str(), mode)); } void CudaProfilerStart() { PADDLE_ENFORCE(cudaProfilerStart()); } void CudaProfilerStop() { PADDLE_ENFORCE((cudaProfilerStop())); } } }