| Commit message (Collapse) | Author | Age |
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implementation-less skeleton.
PiperOrigin-RevId: 204188173
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PiperOrigin-RevId: 190878279
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PiperOrigin-RevId: 187047094
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PiperOrigin-RevId: 186528023
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Adds "cluster_resolver_pip" as a dependancy to opensource contrib, and applies a standard `remove_undocumented` to clear extra symbols.
Docs are build from a bazel bulid, and without this change the cluster resolvers are not directly accessible in "tf.contirb.cluster_resolver" during the docs build, so they do not get documented.
PiperOrigin-RevId: 183993115
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PiperOrigin-RevId: 173889798
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PiperOrigin-RevId: 168650887
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Cluster Resolver classes within this are visible to open source TensorFlow users.
PiperOrigin-RevId: 163733781
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allow users to have a better experienec when specifying one or multiple Cloud TPUs for their training jobs by allowing users to use names rather than IP addresses.
PiperOrigin-RevId: 163393443
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PiperOrigin-RevId: 162466482
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instance group APIs, with support (in conjunction with UnionClusterResolver) for mapping multiple instance groups into one TensorFlow job (see the `testUnionMultipleInstanceRetrieval` test for details).
This should simplify creating and using standardized grpc TensorFlow server based instances using Compute Engine instance groups for distributed training.
PiperOrigin-RevId: 161443891
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PiperOrigin-RevId: 159373397
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PiperOrigin-RevId: 158565259
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retrieving cluster information for running distributed TensorFlow.
Implementations of this class would eventually allow users to simply point TensorFlow at a cluster management endpoint, and TensorFlow will automatically retrieve the host names/IPs and port numbers of TensorFlow workers from the cluster management service.
PiperOrigin-RevId: 158358761
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