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The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and TensorFlow code in a local environment to distributed training in the cloud.

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I am using CloudTuner for TFX project, but I keep getting `Internal error occurred for the current attempt` error, and it doesn't show me what is the actual problem under...

I tried so set my compute region to "west europe" using the gcp console. Did not work, jobs where always started in "us-central1". Turns out, the region is hardcoded in...

Deprecated image was in suggested Dockerfile leading to this error: from tensorflow.contrib.boosted_trees.python.ops import gen_quantile_ops ModuleNotFoundError: No module named 'tensorflow.contrib'

Additional '$' causes invalid argument error

https://youtube.com/playlist?list=PLbBPRT1rFX1SkWno3a-ldUEKfXz7ChAb2

Using CloudTuner previously led to erroneous URLs in API calls, e.g. > https://**us-central1**-ml.googleapis.com/v1/projects/my-project/locations/**europe-west4**/studies?studyId=MyStudyID&alt=json This was due to the static discovery file in `src/python/tensorflow_cloud/tuner/api/ml_public_google_rest_v1.json` which statically points to `https://us-central1-ml.googleapis.com`. This modification...

Suggestion for easy patch to support custom wheel files. Please move in containerize.py the line `lines.append("COPY {} {}".format(self.destination_dir, self.destination_dir))` up before the "pip install" block. This way pip will see...

While attempting to follow [this official tutorial](https://colab.research.google.com/github/tensorflow/docs/blob/snapshot-keras/site/en/guide/keras/training_keras_models_on_cloud.ipynb#scrollTo=99e5bc5e0ab8) in a Colab notebook, I run the first line of code to install tensorflow_cloud: `!pip install -q tensorflow_cloud` And get this error: `ERROR:...

Adds telemetry to record whether explainable AI sdk is installed on the local environment. Also fixes readability and lint errors in existing code.

cla: no