Skip to content

training always jam at session.run() #7

@scofield7419

Description

@scofield7419

I tried hundreds times of training the model with singleton.py, the processing always suspend at:
tf_loss, tf_global_step, _ = session.run([model.loss, model.global_step, model.train_op])

image
you see from the snapshot that the codes is ok to run but, is suspended at there.

After several debug, I will say the problem is located on the:
enqueue_thread = threading.Thread(target=_enqueue_loop)
since the process never get into the '_enqueue_loop()'.

Other word, the 'FIFOQueue' with 'thread' failed to schedule.

Help with this plz.

Metadata

Metadata

Assignees

No one assigned

    Labels

    No labels
    No labels

    Projects

    No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions