Crate tensorflow

This crate provides Rust bindings for the TensorFlow machine learning library.

If you aren't sure how to use something, please see the examples folder.

Modules

io	A module for writing TFRecords, Tensorflow's preferred on-disk data format.

Structs

AttrMetadata	AttrMetadata describes the value of an attribute on an operation.
BFloat16	BFloat16 provides a Rust type for BFloat16.
Device	Metadata about a device.
FetchToken	An opaque token for retrieving an output from a computation.
Function	Function is a grouping of operations with defined inputs and outputs. Once created and added to graphs, functions can be invoked by creating an operation whose operation type matches the function name.
FunctionOptions	Options that can be passed during function creation.
Graph	Represents a computation graph. Graphs may be shared between sessions. Graphs are thread-safe when used as directed.
ImportGraphDefOptions	ImportGraphDefOptions holds options that can be passed to Graph::import_graph_def.
ImportGraphDefResults	ImportGraphDefResults holds results that are generated by Graph::import_graph_def_with_results().
Input	A Input is one end of a graph edge. It holds an operation and an index into the inputs of that operation.
Library	Dynamically loaded plugins. The C API doesn't provide a way to unload libraries, so nothing happens when this goes out of scope.
Operation	An Operation is a node in a Graph. It is a computation which accepts inputs and produces outputs.
OperationDescription	An OperationDescription is an Operation in the process of being built (i.e. the builder pattern).
OperationIter	Iterator over the operations in a Graph.
Output	A Output is one end of a graph edge. It holds an operation and an index into the outputs of that operation.
QInt8	Quantized type for i8.
QInt16	Quantized type for i16.
QInt32	Quantized type for i32.
QUInt8	Quantized type for u8.
QUInt16	Quantized type for u16.
SavedModelBundle	Aggregation type for a saved model bundle.
Session	Manages a single graph and execution.
SessionOptions	Options that can be passed during session creation.
SessionRunArgs	Manages the inputs and outputs for a single execution of a graph.
Shape	A Shape is the shape of a tensor. A Shape may be an unknown rank, or it may have a known rank with each dimension being known or unknown.
Status	Holds error information when communicating with back and forth with tensorflow.
Tensor	Holds a multi-dimensional array of elements of a single data type.
WhileBuilder	A WhileBuilder is used to build a while loop.

Enums

AttrType	Describes the type of the value of an attribute on an operation.
Code	Error values that can be returned.
DataType	Type of a single tensor element.

Traits

TensorType

A Rust type that maps to a DataType.

Functions

get_all_registered_kernels	Returns a serialized KernelList protocol buffer containing KernelDefs for all registered kernels.
get_registered_kernels_for_op	Returns a serialized KernelList protocol buffer containing KernelDefs for all kernels registered for the operation named name.
version	Returns a string describing version information of the TensorFlow library. TensorFlow is using semantic versioning.

Type Definitions

OutputToken	Deprecated Deprecated alias for FetchToken.
Result	Convenience type for Result with Status as the error type.
StepWithGraph	Deprecated Deprecated alias for SessionRunArgs.