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Support explicit dataset shard? #47

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pengyuan opened this issue Jan 4, 2021 · 1 comment

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question

pengyuan commented Jan 4, 2021

when tensorflow read dataset from kafka, how to implement each partition read by one worker?

something like hovorod:
a. get the total worker number and worker index by rank()
b. then apply shard() method in tensorflow

Collaborator

zhangys-lucky commented Jan 4, 2021

here has a demo: examples/common/util.py

dataset = ds_data_files.shard(num_shards=tn.core.shard_num(), index=tn.core.self_shard_id())

zhangys-lucky added the question label

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