Comments (2)
pudae
commented on August 13, 2024
Hi~ @Ellie68
Sorry to late answer.
It seems that there is no way to reduce number of threads with using slim.
I tested evaluation scripts with num_preprocessing_threads=1,
then I found that slim create 6 threads for input pipeline and 1 thread for event logger.
I haven't used new Dataset API yet, I expect it will help to solve the issue.
thanks.
<Thread(QueueRunnerThread-parallel_read/filenames-parallel_read/filenames/filenames_EnqueueMany, started daemon 140364409132800)>
<Thread(QueueRunnerThread-parallel_read/filenames-close_on_stop, started daemon 140364417525504)>
<Thread(QueueRunnerThread-parallel_read/common_queue-parallel_read/common_queue_enqueue, started daemon 140364849583872)>
<Thread(QueueRunnerThread-parallel_read/common_queue-close_on_stop, started daemon 140364857976576)>
<Thread(QueueRunnerThread-batch/fifo_queue-batch/fifo_queue_enqueue, started daemon 140364891547392)>
<Thread(QueueRunnerThread-batch/fifo_queue-close_on_stop, started daemon 140364883154688)>
<_EventLoggerThread(Thread-1, started daemon 140364874761984)>
from tensorflow-densenet.
commented on August 13, 2024
Thanks for your answer @pudae
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