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org.tensorflow

Defines classes to build, save, load and execute TensorFlow models.

WARNING: The API is currently experimental and is not covered by TensorFlow API stability guarantees. See README.md for installation instructions.

The LabelImage example demonstrates use of this API to classify images using a pre-trained Inception architecture convolutional neural network. It demonstrates:

  • Graph construction: using the OperationBuilder class to construct a graph to decode, resize and normalize a JPEG image.
  • Model loading: Using Graph.importGraphDef() to load a pre-trained Inception model.
  • Graph execution: Using a Session to execute the graphs and find the best label for an image.

Additional examples can be found in the tensorflow/models GitHub repository.

Interfaces

ExecutionEnvironment Defines an environment for creating and executing TensorFlow Operations. 
Graph.WhileSubgraphBuilder Used to instantiate an abstract class which overrides the buildSubgraph method to build a conditional or body subgraph for a while loop. 
Operand<T extends TType> Interface implemented by operands of a TensorFlow operation. 
Operation Performs computation on Tensors. 
OperationBuilder A builder for Operations. 
Tensor A statically typed multi-dimensional array. 

Classes

ConcreteFunction A graph that can be invoked as a single function, with an input and output signature. 
DeviceSpec Represents a (possibly partial) specification for a TensorFlow device. 
DeviceSpec.Builder A Builder class for building DeviceSpec class. 
EagerSession An environment for executing TensorFlow operations eagerly. 
EagerSession.Options  
Graph A data flow graph representing a TensorFlow computation. 
GraphOperation Implementation for an Operation added as a node to a Graph
GraphOperationBuilder An OperationBuilder for adding GraphOperations to a Graph
Output<T extends TType> A symbolic handle to a tensor produced by an Operation
RawTensor A tensor which memory has not been mapped to a data space directly accessible from the JVM. 
SavedModelBundle SavedModelBundle represents a model loaded from storage. 
SavedModelBundle.Exporter Options for exporting a SavedModel. 
SavedModelBundle.Loader Options for loading a SavedModel. 
Server An in-process TensorFlow server, for use in distributed training. 
Session Driver for Graph execution. 
Session.Run Output tensors and metadata obtained when executing a session. 
Session.Runner Run Operations and evaluate Tensors
Signature Describe the inputs and outputs of an executable entity, such as a ConcreteFunction, among other useful metadata. 
Signature.Builder Builds a new function signature. 
Signature.TensorDescription  
TensorFlow Static utility methods describing the TensorFlow runtime. 
TensorMapper<T extends TType> Maps the native memory of a RawTensor to a n-dimensional typed data space accessible from the JVM. 

Enums

DeviceSpec.DeviceType  
EagerSession.DevicePlacementPolicy Controls how to act when we try to run an operation on a given device but some input tensors are not on that device. 
ExecutionEnvironment.Types