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6.3 KiB
6.3 KiB
TIPC Linux端Benchmark测试文档
该文档为Benchmark测试说明，Benchmark预测功能测试的主程序为benchmark_train.sh，用于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。
# 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_infer_python.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
# 运行格式：bash test_tipc/benchmark_train.sh train_benchmark.txt mode
bash test_tipc/benchmark_train.sh test_tipc/configs/det_mv3_db_v2_0/train_infer_python.txt benchmark_train
test_tipc/benchmark_train.sh支持根据传入的第三个参数实现只运行某一个训练配置，如下：
# 运行格式：bash test_tipc/benchmark_train.sh train_benchmark.txt mode
bash test_tipc/benchmark_train.sh test_tipc/configs/det_mv3_db_v2_0/train_infer_python.txt benchmark_train dynamic_bs8_fp32_DP_N1C1
dynamic_bs8_fp32_DP_N1C1为test_tipc/benchmark_train.sh传入的参数，格式如下：
${modeltype}_${batch_size}_${fp_item}_${run_mode}_${device_num}
包含的信息有：模型类型、batchsize大小、训练精度如fp32,fp16等、分布式运行模式以及分布式训练使用的机器信息如单机单卡（N1C1）。
2. 日志输出
运行后将保存模型的训练日志和解析日志，使用 test_tipc/configs/det_mv3_db_v2_0/train_infer_python.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": "samples/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：
train_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
3. 各模型单卡性能数据一览
*注：本节中的速度指标均使用单卡（1块Nvidia V100 16G GPU）测得。通常情况下。
| 模型名称 | 配置文件 | 大数据集 float32 fps | 小数据集 float32 fps | diff | 大数据集 float16 fps | 小数据集 float16 fps | diff | 大数据集大小 | 小数据集大小 |
|---|---|---|---|---|---|---|---|---|---|
| ch_ppocr_mobile_v2.0_det | config | 53.836 | 53.343 / 53.914 / 52.785 | 0.020940758 | 45.574 | 45.57 / 46.292 / 46.213 | 0.015596647 | 10,000 | 2,000 |
| ch_ppocr_mobile_v2.0_rec | config | 2083.311 | 2043.194 / 2066.372 / 2093.317 | 0.023944295 | 2153.261 | 2167.561 / 2165.726 / 2155.614 | 0.005511725 | 600,000 | 160,000 |
| ch_ppocr_server_v2.0_det | config | 20.716 | 20.739 / 20.807 / 20.755 | 0.003268131 | 20.592 | 20.498 / 20.993 / 20.75 | 0.023579288 | 10,000 | 2,000 |
| ch_ppocr_server_v2.0_rec | config | 528.56 | 528.386 / 528.991 / 528.391 | 0.001143687 | 1189.788 | 1190.007 / 1176.332 / 1192.084 | 0.013213834 | 600,000 | 160,000 |
| ch_PP-OCRv2_det | config | 13.87 | 13.386 / 13.529 / 13.428 | 0.010569887 | 17.847 | 17.746 / 17.908 / 17.96 | 0.011915367 | 10,000 | 2,000 |
| ch_PP-OCRv2_rec | config | 109.248 | 106.32 / 106.318 / 108.587 | 0.020895687 | 117.491 | 117.62 / 117.757 / 117.726 | 0.001163413 | 140,000 | 40,000 |
| det_mv3_db_v2.0 | config | 61.802 | 62.078 / 61.802 / 62.008 | 0.00444602 | 82.947 | 84.294 / 84.457 / 84.005 | 0.005351836 | 10,000 | 2,000 |
| det_r50_vd_db_v2.0 | config | 29.955 | 29.092 / 29.31 / 28.844 | 0.015899011 | 51.097 | 50.367 / 50.879 / 50.227 | 0.012814717 | 10,000 | 2,000 |
| det_r50_vd_east_v2.0 | config | 42.485 | 42.624 / 42.663 / 42.561 | 0.00239083 | 67.61 | 67.825/ 68.299/ 68.51 | 0.00999854 | 10,000 | 2,000 |
| det_r50_vd_pse_v2.0 | config | 16.455 | 16.517 / 16.555 / 16.353 | 0.012201752 | 27.02 | 27.288 / 27.152 / 27.408 | 0.009340339 | 10,000 | 2,000 |
| rec_mv3_none_bilstm_ctc_v2.0 | config | 2288.358 | 2291.906 / 2293.725 / 2290.05 | 0.001602197 | 2336.17 | 2327.042 / 2328.093 / 2344.915 | 0.007622025 | 600,000 | 160,000 |
| layoutxlm_ser | config | 18.001 | 18.114 / 18.107 / 18.307 | 0.010924783 | 21.982 | 21.507 / 21.116 / 21.406 | 0.018180127 | 1490 | 1490 |
| PP-Structure-table | config | 14.151 | 14.077 / 14.23 / 14.25 | 0.012140351 | 16.285 | 16.595 / 16.878 / 16.531 | 0.020559308 | 20,000 | 5,000 |
| det_r50_dcn_fce_ctw_v2.0 | config | 14.057 | 14.029 / 14.02 / 14.014 | 0.001069214 | 18.298 | 18.411 / 18.376 / 18.331 | 0.004345228 | 10,000 | 2,000 |
| ch_PP-OCRv3_det | config | 8.622 | 8.431 / 8.423 / 8.479 | 0.006604552 | 14.203 | 14.346 14.468 14.23 | 0.016450097 | 10,000 | 2,000 |
| PP-OCRv3_mobile_rec | config | 90.239 | 90.077 / 91.513 / 91.325 | 0.01569176 | 160,000 | 40,000 |