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+
+# TIPC Linux端Benchmark测试文档
+
+该文档为benchmark测试说明，包括参数介绍以及
+Benchmark预测功能测试的主程序为`benchmark_train.sh`，可以验证监控模型训练的性能。
+
+# 1. 测试流程
+## 1.1 准备数据和环境安装
+运行`test_tipc/prepare.sh`，完成训练数据准备和安装环境流程。
+
+```shell
+# 运行格式：bash test_tipc/prepare.sh  train_benchmark.txt  mode
+bash test_tipc/prepare.sh test_tipc/configs/det_mv3_db_v2.0/train_benchmark.txt benchmark_train
+```
+
+## 1.2 功能测试
+执行`test_tipc/benchmark_train.sh`，完成模型训练和日志解析
+
+```shell
+# 运行格式：bash test_tipc/benchmark_train.sh train_benchmark.txt mode params
+bash test_tipc/benchmark_train.sh test_tipc/configs/det_mv3_db_v2.0/train_benchmark.txt benchmark_train dynamic_bs8_null_SingleP_DP_N1C1
+```
+
+params为test_tipc/benchmark_train.sh传入的参数，包含：模型类型、batchsize、fp精度、进程类型、运行模式以及分布式等信息。
+`${modeltype}_${batch_size}_${fp_item}_${run_process_type}_${run_mode}_${device_num}`
+
+
+## 2. 日志输出
+
+运行后将输出模型的训练日志和日志解析日志，使用 `test_tipc/configs/det_mv3_db_v2.0/train_benchmark.txt` 参数文件的训练日志解析结果是：
+
+```
+{"model_branch": "dygaph", "model_commit": "7c39a1996b19087737c05d883fd346d2f39dbcc0", "model_name": "det_mv3_db_v2.0_bs8_fp32_SingleP_DP", "batch_size": 8, "fp_item": "fp32", "run_process_type": "SingleP", "run_mode": "DP", "convergence_value": "5.413110", "convergence_key": "loss:", "ips": 19.333, "speed_unit": "images/s", "device_num": "N1C1", "model_run_time": "0", "frame_commit": "8cc09552473b842c651ead3b9848d41827a3dbab", "frame_version": "0.0.0"}
+```
+
+训练日志和日志解析结果保存在benchmark_log目录下，文件组织格式如下：
+```
+benchmark_log/
+├── index
+│   ├── PaddleOCR_det_mv3_db_v2.0_bs8_fp32_SingleP_DP_N1C1_speed
+│   └── PaddleOCR_det_mv3_db_v2.0_bs8_fp32_SingleP_DP_N1C4_speed
+├── profiling_log
+│   └── PaddleOCR_det_mv3_db_v2.0_bs8_fp32_SingleP_DP_N1C1_profiling
+└── train_log
+    ├── PaddleOCR_det_mv3_db_v2.0_bs8_fp32_SingleP_DP_N1C1_log
+    └── PaddleOCR_det_mv3_db_v2.0_bs8_fp32_SingleP_DP_N1C4_log
+```