tensorboard logdir with s3 path

问题:

I see tensorflow support AWS s3 file system (https://github.com/tensorflow/tensorflow/tree/master/tensorflow/core/platform/s3) but I am unable to use the S3 path with tensorboard.

I tried latest nightly 0.4.0rc3 but no luck. I built locally also and made sure Do you wish to build TensorFlow with Amazon S3 File System support? [Y/n]: set to YES but still i don't see tensorboard --logdir=s3://bucket/path working at all.

Am I missing something here?

回答1:

If you start a tensorboard by using AWS s3 file, you should do as follows:

(1) add ENV VARIBLES

export AWS_ACCESS_KEY_ID=******
export AWS_SECRET_ACCESS_KEY=*******
export S3_ENDPOINT=******
export S3_VERIFY_SSL=0    
export S3_USE_HTTPS=0 

(2) upgrade tensorflow to newest version by using pip:

pip install tensorflow==1.4.1 

(3) you don't need to upgrade tensorboard, because it is revolved in the previous step

Then you can start you tensorboard by using you code

tensorboard --logdir=s3://bucket/path