TensorFlow 1 version
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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...).
Classes
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.