| """ Summary utilities | |
| Hacked together by / Copyright 2020 Ross Wightman | |
| """ | |
| import csv | |
| import os | |
| from collections import OrderedDict | |
| try: | |
| import wandb | |
| except ImportError: | |
| pass | |
| def get_outdir(path, *paths, inc=False): | |
| outdir = os.path.join(path, *paths) | |
| if not os.path.exists(outdir): | |
| os.makedirs(outdir) | |
| elif inc: | |
| count = 1 | |
| outdir_inc = outdir + '-' + str(count) | |
| while os.path.exists(outdir_inc): | |
| count = count + 1 | |
| outdir_inc = outdir + '-' + str(count) | |
| assert count < 100 | |
| outdir = outdir_inc | |
| os.makedirs(outdir) | |
| return outdir | |
| def update_summary( | |
| epoch, | |
| train_metrics, | |
| eval_metrics, | |
| filename, | |
| lr=None, | |
| write_header=False, | |
| log_wandb=False, | |
| ): | |
| rowd = OrderedDict(epoch=epoch) | |
| rowd.update([('train_' + k, v) for k, v in train_metrics.items()]) | |
| if eval_metrics: | |
| rowd.update([('eval_' + k, v) for k, v in eval_metrics.items()]) | |
| if lr is not None: | |
| rowd['lr'] = lr | |
| if log_wandb: | |
| wandb.log(rowd) | |
| with open(filename, mode='a') as cf: | |
| dw = csv.DictWriter(cf, fieldnames=rowd.keys()) | |
| if write_header: # first iteration (epoch == 1 can't be used) | |
| dw.writeheader() | |
| dw.writerow(rowd) | |