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

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Ayush Chaurasia 2021-08-30 20:37:20 +05:30 committed by GitHub
parent 3a72d4a7e3
commit 11e7c7b48d
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2 changed files with 9 additions and 5 deletions
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4
utils/loggers/__init__.py
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@ -138,7 +138,11 @@ class Loggers():
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
if not self.opt.evolve:
wandb.log_artifact(str(best if best.exists() else last), type='model', wandb.log_artifact(str(best if best.exists() else last), type='model',
name='run_' + self.wandb.wandb_run.id + '_model', name='run_' + self.wandb.wandb_run.id + '_model',
aliases=['latest', 'best', 'stripped']) aliases=['latest', 'best', 'stripped'])
self.wandb.finish_run() self.wandb.finish_run()
else:
self.wandb.finish_run()
self.wandb = WandbLogger(self.opt)

2
utils/loggers/wandb/wandb_utils.py
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@ -112,7 +112,7 @@ class WandbLogger():
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