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A demo of distributed deep learning with TensorFlow and Apache Ignite.
Thanks very much for posting this example for distributed training, I've been looking all over for some examples.
I was able to create a multi-node ignite cluster and followed the instructions to load the Cifar data to the cluster however, when I followed the command ./ignite-tf.sh start TEST_DATA models python3 official/resnet/cifar10_main.py
it gives me the following result:
Apache Ignite and TensorFlow integration command line tool that allows to
start, maintain and stop distributed deep learning utilizing Apache Ignite
infrastructure and data.
-c, --config=<cfg> Apache Ignite client configuration.
-h, --help Show this help message and exit.
-V, --version Print version information and exit.
Commands:
start Starts a new TensorFlow cluster and attaches to user script process.
stop Stops a running TensorFlow cluster.
attach Attaches to running TensorFlow cluster (user script process).
ps Prints identifiers of all running TensorFlow clusters.
also, is there a way to just create a tensorflow cluster on ignite and perform the distributed code on Jupyter notebook?
Thanks,
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