tensorflow / tensorflow/tensorboard
Tensorflow debugger slows down minibatch training due to too many session.run calls.
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@caisq is already working on this.
Since Jun 10, 2019.
core:backend
stat:awaiting tensorflower
type:feature
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Description
The problem is described in the title. Because I am doing minibatch training, I have hundreds of session.run calls, and I believe that the problem is that the code needs to report these changes to Tensorboard for every session.run call which slows things down. I am not reporting this as a bug as this seems like expected behavior. So feature request to find a way around this?
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