From 56fccb03c8fc974ee7e9299604a30738b197cfd6 Mon Sep 17 00:00:00 2001 From: Manan Goel Date: Fri, 15 Apr 2022 06:44:22 +0000 Subject: [PATCH] Added functionality to use multiple loggers simultaneously and addded the english documentation on how to use them --- doc/doc_en/logging_en.md | 54 ++++++++++++++++++++++++++++ doc/imgs_en/wandb_metrics.png | Bin 0 -> 91765 bytes doc/imgs_en/wandb_models.png | Bin 0 -> 98283 bytes ppocr/utils/loggers/__init__.py | 3 +- ppocr/utils/loggers/loggers.py | 18 ++++++++++ ppocr/utils/loggers/vdl_logger.py | 5 ++- ppocr/utils/loggers/wandb_logger.py | 4 +-- tools/program.py | 31 +++++++++------- 8 files changed, 99 insertions(+), 16 deletions(-) create mode 100644 doc/doc_en/logging_en.md create mode 100644 doc/imgs_en/wandb_metrics.png create mode 100644 doc/imgs_en/wandb_models.png create mode 100644 ppocr/utils/loggers/loggers.py diff --git a/doc/doc_en/logging_en.md b/doc/doc_en/logging_en.md new file mode 100644 index 00000000..f57d8419 --- /dev/null +++ b/doc/doc_en/logging_en.md @@ -0,0 +1,54 @@ +## Logging metrics and models + +PaddleOCR comes with two metric logging tools integrated directly into the training API: [VisualDL](https://readthedocs.org/projects/visualdl/) and [Weights & Biases](https://docs.wandb.ai/). + +### VisualDL +VisualDL is a visualization analysis tool of PaddlePaddle. The integration allows all training metrics to be logged to a VisualDL dashboard. To use it, add the following line to the `Global` section of the config yaml file - + +``` +Global: + use_visualdl: True +``` + +To see the visualizations run the following command in your terminal + +```shell +visualdl --logdir +``` + +Now open `localhost:8040` in your browser of choice! + +### Weights & Biases +W&B is a MLOps tool that can be used for experiment tracking, dataset/model versioning, visualizing results and collaborating with colleagues. A W&B logger is integrated directly into PaddleOCR and to use it, first you need to install the `wandb` sdk and login to your wandb account. + +```shell +pip install wandb +wandb login +``` + +If you do not have a wandb account, you can make one [here](https://wandb.ai/site). + +To visualize and track your model training add the following flag to your config yaml file under the `Global` section - + +``` +Global: + use_wandb: True +``` + +To add more arguments to the `WandbLogger` listed [here](./config_en.md) add the header `wandb` to the yaml file and add the arguments under it - + +``` +wandb: + project: my_project + entity: my_team +``` + +This will automatically log all the training and evaluation metrics to the W&B dashboard along with models at every model saving step and evaluation step are with the appropriate tags and metadata. +![W&B Dashboard](../imgs_en/wandb_metrics.png) + +![W&B Models](../imgs_en/wandb_models.png) + +To view the dashboard, the link to the dashboard is printed to the console at the beginning and end of every training job and you can also access it by logging into your W&B account on your browser. + +### Using Multiple Loggers +Both VisualDL and W&B can also be used simultaneously by just setting both the aforementioned flags to True. \ No newline at end of file diff --git a/doc/imgs_en/wandb_metrics.png b/doc/imgs_en/wandb_metrics.png new file mode 100644 index 0000000000000000000000000000000000000000..45f0041ae4d3819c2bf9c9fababcceb3ff20a115 GIT binary patch literal 91765 zcmeFZXE>Z~yEcpvLJ&Q=1kr*-^xj49y#>)3(YqlMHAsX=h~AA}Mj0h~C+g_Ex6wx% z^G)tM_p_dDeeaX?=l${iShj7r%ypgZIFIuv`?1eNYN#pT<5J!)#Q8Lve2pY~#* z)nHdpbN7+OoiM+fV0syX1CMdPVj_%l-@(itArXJB`Scwh`j5{-G>XD#uSq)8hF9|# zU3-FXW+Q#1iQ0NxmO9Da_~6jX_}F-P4GH!WfhBJ`(KHTmUT7gnUm&=Tw8@TyzI$M) zmpV!x21yqRMpvyN=aP|}(}tCWG&T|OSn(MJM?}*t{@;Wi;gaVL-AlK8I$y~nlTYe677r5fI{FYsj^!ZY5geE(+yI0rZHdZZxy(Z z;9I|b7f{IM`TJ!5barzElXT0q$d)B zWAC9l>*n>S+Z(f 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dist.get_world_size() != 1 - if "use_visualdl" in config['Global'] and config['Global']['use_visualdl'] and dist.get_rank() == 0: + loggers = [] + + if config['Global']['use_visualdl']: save_model_dir = config['Global']['save_model_dir'] vdl_writer_path = '{}/vdl/'.format(save_model_dir) log_writer = VDLLogger(save_model_dir) - elif ("use_wandb" in config['Global'] and config['Global']['use_wandb']) or "wandb" in config: + loggers.append(log_writer) + if config['Global']['use_wandb'] or 'wandb' in config: save_dir = config['Global']['save_model_dir'] wandb_writer_path = "{}/wandb".format(save_dir) if "wandb" in config: @@ -574,9 +574,16 @@ def preprocess(is_train=False): wandb_params = dict() wandb_params.update({'save_dir': save_model_dir}) log_writer = WandbLogger(**wandb_params, config=config) + loggers.append(log_writer) else: log_writer = None print_dict(config, logger) + + if loggers: + log_writer = Loggers(loggers) + else: + log_writer = None + logger.info('train with paddle {} and device {}'.format(paddle.__version__, device)) return config, device, logger, log_writer -- GitLab