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Google Cloud Certified Professional Machine Learning Engineer · Google Cloud
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C is easiest and least effort so should be tried first.
I focus on 'the first step' - splitting CSV and interleave are very easy and quick to try/
By splitting the data into multiple CSV files and using tf.data.Dataset.interleave(..., num_parallel_calls=tf.data.AUTOTUNE) you: -Enable parallel reads from Cloud Storage -Dramatically improve throughput -Reduce GPU/CPU idle time -Achieve performance gains with minimal engineering effort