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W&B: Don't log models in evolve operation (#4611)

modifyDataloader
Ayush Chaurasia GitHub 3 years ago
parent
commit
11e7c7b48d
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2 changed files with 9 additions and 5 deletions
  1. +8
    -4
      utils/loggers/__init__.py
  2. +1
    -1
      utils/loggers/wandb/wandb_utils.py

+ 8
- 4
utils/loggers/__init__.py View File

if self.wandb: if self.wandb:
self.wandb.log({"Results": [wandb.Image(str(f), caption=f.name) for f in files]}) self.wandb.log({"Results": [wandb.Image(str(f), caption=f.name) for f in files]})
# Calling wandb.log. TODO: Refactor this into WandbLogger.log_model # Calling wandb.log. TODO: Refactor this into WandbLogger.log_model
wandb.log_artifact(str(best if best.exists() else last), type='model',
name='run_' + self.wandb.wandb_run.id + '_model',
aliases=['latest', 'best', 'stripped'])
self.wandb.finish_run()
if not self.opt.evolve:
wandb.log_artifact(str(best if best.exists() else last), type='model',
name='run_' + self.wandb.wandb_run.id + '_model',
aliases=['latest', 'best', 'stripped'])
self.wandb.finish_run()
else:
self.wandb.finish_run()
self.wandb = WandbLogger(self.opt)

+ 1
- 1
utils/loggers/wandb/wandb_utils.py View File

https://docs.wandb.com/guides/integrations/yolov5 https://docs.wandb.com/guides/integrations/yolov5
""" """


def __init__(self, opt, run_id, job_type='Training'):
def __init__(self, opt, run_id=None, job_type='Training'):
""" """
- Initialize WandbLogger instance - Initialize WandbLogger instance
- Upload dataset if opt.upload_dataset is True - Upload dataset if opt.upload_dataset is True

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