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 |