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TensorFlow Cloud enables you to go from a local tf.keras script or Colab notebook to a distributed training job in the Cloud with no code changes or VM configuration -- just add one line to your file. Check it out: https://github.com/tensorflow/cloud …pic.twitter.com/DdbO4rFjni
- Develop & debug in Colab - Host your datasets in a cloud bucket - When ready, add one line to your notebook to start training on as many GPUs as you want - Monitor your results via hosted TensorBoard and save your models to a cloud bucket
Very slick!
Working on getting this to work on @kaggle :)
Wow, excellent! Please be in touch
does this interop with TFX pipelines?
Does it work with TPUs from Tensorflow Research Cloud?
Yes, it supports TPUs
This is great! Some more elaborate examples would be appreciated, though. Real world projects usually contains multiple files and usage of multiple libraries. Examples showing such usage (if possible) would increase the usefulness a lot.
Good suggestion, we'll add a multi file example. This is supported. Thanks!
Does TensorFlow Cloud run on TrnsorFlow Quantum?
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