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Hello, I'M Trying To Save A Keras Model As A Task Artifact, And Then Upload It From Another Task. Does Anyone Know The Syntax For That? What I'Ve Seen Is Not Quite Working.


Hi ConfusedPig65
Any keras model will be automatically uploaded if you pass an upload url to the Task init:
task = Task.init('examples', 'keras upload test', output_uri=" ")(You can also pass to output_uri s3://buckket/folder or change the default output_uri in the clearml.conf file)
After this line any keras model will be automatically uploaded (you will see it under the Artifacts Tab)
Accessing models from executed tasks:
trains_task = Task.get_task('task_uid_here') last_checkpoint = trains_task.models['output'][-1].get_local_copy()

  
  
Posted 3 years ago
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