commit | 7ed2ba3fa483a40f5cd5435df6b6c63f957d99a6 | [log] [tgz] |
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author | Andrew Audibert <aaudibert@google.com> | Tue Sep 29 11:35:20 2020 -0700 |
committer | TensorFlower Gardener <gardener@tensorflow.org> | Tue Sep 29 12:20:59 2020 -0700 |
tree | 76fe0379f460257c1ede2f5b4d9fe208d11e424b | |
parent | 9442c157f2fefa96224de689ba4f5877dc0fbd93 [diff] |
[tf.data service] Disable fingerprint checking. Previously we would check that datasets distributed under the same job name would have identical graph fingerprints. If the fingerprints are identical, we arbitrarily pick one of the datasets to actually generate the data for the job. This saves users from accidentally distributing two different datasets (e.g. sharded differently) under the same job name. However, this check has a major problem: graph creation is not always deterministic: - We will skip some optimizations if a deadline is exceeded, resulting in the generated graph being reliant on timing. - Experimental optimizations may be enabled on some hosts but not others. - Optimizations are not guaranteed to execute deterministically. These factors lead to difficult-to-debug situations where the tf.data service fails (potentially flakily) even though datasets are logically identical. Removing this check will result in using the *first* dataset distributed under a job name to generate the data for that job. We may add the check back in the future as an option. PiperOrigin-RevId: 334425335 Change-Id: I123d2ddb71bdb5ccbe519a6e22a95677ba55fd79
Documentation |
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