tensorflow::serving

Summary

Typedefs
`LoaderSource`	using `Source< std::unique_ptr< Loader >>`

Functions
`operator!=(const Loader::Metadata & a, const Loader::Metadata & b)`	`bool`
`operator!=(const ServableHandle< T > & l, const ServableHandle< U > & r)`	`constexpr bool`
`operator!=(const ServableStateMonitor::ServableStateAndTime & a, const ServableStateMonitor::ServableStateAndTime & b)`	`bool`
`operator<<(std::ostream & os, const ServableStateMonitor::ServableStateAndTime & state_and_time)`	`std::ostream &`
`operator==(const AspiredVersionPolicy::ServableAction & lhs, const AspiredVersionPolicy::ServableAction & rhs)`	`bool`
`operator==(const Loader::Metadata & a, const Loader::Metadata & b)`	`bool`
`operator==(const ServableHandle< T > & l, const ServableHandle< U > & r)`	`constexpr bool`
`operator==(const ServableStateMonitor::ServableStateAndTime & a, const ServableStateMonitor::ServableStateAndTime & b)`	`bool`

Classes
tensorflow::serving::AspiredVersionPolicy	An interface for the policy to be applied for transitioning servable versions in a servable stream.
tensorflow::serving::AspiredVersionsManager	A manager that implements the Target<Loader> API which uses aspired-versions callbacks to dictate which servable versions to load.
tensorflow::serving::AspiredVersionsManagerBuilder	Builds an AspiredVersionsManager with options and sources connected to it.
tensorflow::serving::BasicManager	Helps manage the lifecycle of servables including loading, serving and unloading them.
tensorflow::serving::CachingManager	A manager that manages and loads servables on-demand.
tensorflow::serving::ClassifierInterface	Model-type agnostic interface for performing classification.
tensorflow::serving::FileSystemStoragePathSource	A storage path source that aspires versions for a given set of servables.
tensorflow::serving::Loader	A standardized abstraction for an object that manages the lifecycle of a servable, including loading and unloading it.
tensorflow::serving::LoaderHarness	LoaderHarness is a widget the Manager uses to hold on to and talk to a Loader while it owns it.
tensorflow::serving::Manager	Manager is responsible for loading, unloading, lookup and lifetime management of all Servable objects via their Loaders.
tensorflow::serving::PathPrefixLoaderFactory	A simple LoaderFactory that looks for a servable at a path formed by concatenating a fixed path prefix with the servable's name.
tensorflow::serving::RegressorInterface	Model agnostic interface for performing regression.
tensorflow::serving::ResourceUnsafeLoader	A Loader that is oblivious to resources.
tensorflow::serving::SavedModelBundleFactory	A factory that creates SavedModelBundles from SavedModel or SessionBundle export paths.
tensorflow::serving::ServableHandle	A smart pointer to the underlying servable object T retrieved from the Loader.
tensorflow::serving::ServableStateMonitor	A utility that listens to an EventBus<ServableState>, and keeps track of the state of each servable mentioned on the bus.
tensorflow::serving::ServerCore	ServerCore contains state and helper methods enabling the building of ModelServers that support multiple interfaces.
tensorflow::serving::ServingSession	A Session that blocks state-changing methods such as Close(), while allowing Run() for read-only access (not enforced).
tensorflow::serving::ServingSessionWrapper	A ServingSession that wraps a given Session, and blocks all calls other than Run().
tensorflow::serving::SessionWrapperIgnoreThreadPoolOptions
tensorflow::serving::SharedPtrHandle	An implementation of UntypedServableHandle using shared_ptr to do ref-counting on the Loader that owns the Servable.
tensorflow::serving::Source	An abstraction for a module that sources servables to load, or, more precisely, handles to data that can be used to load those servables.
tensorflow::serving::SourceAdapter	An abstraction for a module that receives aspired-version callbacks with data of type InputType and converts them into calls with data of type OutputType.
tensorflow::serving::UntypedServableHandle	A non-templatized handle to a servable, used internally in the Manager to retrieve a type-erased servable object from the Loader.

Structs
tensorflow::serving::AspiredServableStateSnapshot	A snapshot of a servable's state and aspiredness.
tensorflow::serving::ServableRequest	A query for a specific loaded servable object.

Namespaces
tensorflow::serving::internal
tensorflow::serving::test_util

Typedefs

LoaderSource

Source< std::unique_ptr< Loader >> LoaderSource

Functions

operator!=

bool operator!=(
  const Loader::Metadata & a,
  const Loader::Metadata & b
)

operator!=

constexpr bool operator!=(
  const ServableHandle< T > & l,
  const ServableHandle< U > & r
)

operator!=

bool operator!=(
  const ServableStateMonitor::ServableStateAndTime & a,
  const ServableStateMonitor::ServableStateAndTime & b
)

operator<<

std::ostream & operator<<(
  std::ostream & os,
  const ServableStateMonitor::ServableStateAndTime & state_and_time
)

operator==

bool operator==(
  const AspiredVersionPolicy::ServableAction & lhs,
  const AspiredVersionPolicy::ServableAction & rhs
)

operator==

bool operator==(
  const Loader::Metadata & a,
  const Loader::Metadata & b
)

operator==

constexpr bool operator==(
  const ServableHandle< T > & l,
  const ServableHandle< U > & r
)

operator==

bool operator==(
  const ServableStateMonitor::ServableStateAndTime & a,
  const ServableStateMonitor::ServableStateAndTime & b
)

tensorflow::serving

Summary

Typedefs

Functions

Classes

Structs

Namespaces

Typedefs

LoaderSource

Functions

operator!=

operator!=

operator!=

operator<<

operator==

operator==

operator==

operator==