- 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.
|Defines an environment for creating and executing TensorFlow
|Used to instantiate an abstract class which overrides the buildSubgraph method to build a conditional or body subgraph for a while loop.
|Interface implemented by operands of a TensorFlow operation.
|Performs computation on Tensors.
|A builder for
|An environment for executing TensorFlow operations eagerly.
|A data flow graph representing a TensorFlow computation.
|Implementation for an
Operation added as a node to a
OperationBuilder for adding
GraphOperations to a
|A symbolic handle to a tensor produced by an
|SavedModelBundle represents a model loaded from storage.
|Options for loading a SavedModel.
|An in-process TensorFlow server, for use in distributed training.
|Output tensors and metadata obtained when executing a session.
Operations and evaluate
|The possibly partially known shape of a tensor produced by an operation.
|A statically typed multi-dimensional array whose elements are of a type described by T.
|Static utility methods describing the TensorFlow runtime.
|Type-safe factory methods for creating
|Represents the type of elements in a
Tensor as an enum.
|Controls how to act when we try to run an operation on a given device but some input tensors are not on that device.
|Controls how TensorFlow resources are cleaned up when they are no longer needed.
|Unchecked exception thrown when executing TensorFlow Graphs.
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Last updated 2020-04-21 UTC.