Library imports for ClusterResolvers.
This library contains all implementations of ClusterResolvers. ClusterResolvers are a way of specifying cluster information for distributed execution. Built on top of existing ClusterSpec
framework, ClusterResolvers are a way for TensorFlow to communicate with various cluster management systems (e.g. GCE, AWS, etc...).
class ClusterResolver
: Abstract class for all implementations of ClusterResolvers.
class GCEClusterResolver
: ClusterResolver for Google Compute Engine.
class KubernetesClusterResolver
: ClusterResolver for Kubernetes.
class SimpleClusterResolver
: Simple implementation of ClusterResolver that accepts all attributes.
class SlurmClusterResolver
: ClusterResolver for system with Slurm workload manager.
class TFConfigClusterResolver
: Implementation of a ClusterResolver which reads the TF_CONFIG EnvVar.
class TPUClusterResolver
: Cluster Resolver for Google Cloud TPUs.
class UnionResolver
: Performs a union on underlying ClusterResolvers.
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/compat/v1/distribute/cluster_resolver