tensorflow::serving::SavedModelBundleFactory

#include <saved_model_bundle_factory.h>

A factory that creates SavedModelBundles from SavedModel or SessionBundle export paths.

Summary

The emitted sessions only support Run(), and although not enforced it is expected that the client will only make non-mutating Run() calls. (If this restriction, which we've added as a safety measure, is problematic for your use-case please contact the TensorFlow Serving team to discuss disabling it.)

If the config calls for batching, the emitted sessions automatically batch Run() calls behind the scenes, using a SharedBatchScheduler owned by the factory. The 'config.num_batch_threads' threads are shared across all session instances created by this factory. However, each session has its own dedicated queue of size 'config.max_enqueued_batches'.

The factory can also estimate the resource (e.g. RAM) requirements of a SavedModelBundle based on the SavedModel (i.e. prior to loading the session).

This class is thread-safe.

Public static functions

Create(const SessionBundleConfig & config, std::unique_ptr< SavedModelBundleFactory > *factory)
Status
Instantiates a SavedModelBundleFactory using a config.

Public functions

CreateSavedModelBundle(const string & path, std::unique_ptr< SavedModelBundle > *bundle)
Status
Instantiates a bundle from a given export or SavedModel path.
EstimateResourceRequirement(const string & path, ResourceAllocation *estimate) const
Status
Estimates the resources a SavedModel bundle will use once loaded, from its export path.
config() const
const SessionBundleConfig &

Public static functions

Create

Status Create(
  const SessionBundleConfig & config,
  std::unique_ptr< SavedModelBundleFactory > *factory
)

Instantiates a SavedModelBundleFactory using a config.

Details
Parameters
config
Config with initialization options.
factory
Newly created factory if the returned Status is OK.

Public functions

CreateSavedModelBundle

Status CreateSavedModelBundle(
  const string & path,
  std::unique_ptr< SavedModelBundle > *bundle
)

Instantiates a bundle from a given export or SavedModel path.

Details
Parameters
path
Path to the model.
bundle
Newly created SavedModelBundle if the returned Status is OK.

EstimateResourceRequirement

Status EstimateResourceRequirement(
  const string & path,
  ResourceAllocation *estimate
) const 

Estimates the resources a SavedModel bundle will use once loaded, from its export path.

Details
Parameters
path
Path to the model.
estimate
Output resource usage estimates. Different kinds of resources (e.g. CPU, RAM, etc.) may get populated.

config

const SessionBundleConfig & config() const