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RELEASE.md
shards to disk. `tf.train.experimental.ShardByTaskPolicy` is the default sharding behavior, but `tf.train.experimental.MaxShardSizePolicy` can be used to shard the checkpoint with a maximum shard file size. Users with advanced use cases can also write their own custom `tf.train.experimental.ShardingCallback`s. * `tf.train.CheckpointOptions`
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ci/official/containers/linux_arm64/devel.usertools/squash_testlogs.py
r._elem.remove(testsuite._elem) if len(r) > 0: # pylint: disable=g-explicit-length-test result += r # Insert the number of failures for each test to help identify flakes # need to clarify for shard for p in result._elem.xpath(".//error | .//failure"): key = re.sub(r"0x\w+", "", p.getparent().get("name", "")) + p.text p.text = runfiles_matcher.sub("[testroot]/", p.text)
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