[−][src]Crate tfrecord

The crate provides the functionality to serialize and deserialize TFRecord data format from TensorFlow.

The crate provides several cargo features that you can conditionally compile modules.

Optional features:

full: Enable all features.
async_: Enable async/await feature.
dataset: Enable the dataset API.
summary: Enable the summary and event API, which is mainly targeted for TensorBoard.

Third-party supports:

serde: Enable interoperability with serde to serialize and deserialize example types.
tch: Enable tch types support.
image: Enable image types support.
ndarray: Enable ndarray types support.

Re-exports

pub use error::Error;

pub use markers::GenericRecord;

pub use protos::Event;

pub use protos::Example as RawExample;

pub use protos::Summary;

pub use reader::BytesReader;

pub use reader::ExampleReader;

pub use reader::RawExampleReader;

pub use record::Example;

pub use record::Feature;

pub use writer::BytesWriter;

pub use writer::ExampleWriter;

pub use writer::RawExampleWriter;

pub use writer::RecordWriter;

pub use writer::RecordWriterInit;

pub use dataset::Dataset;

pub use dataset::DatasetInit;

dataset	The dataset API that accesses multiple TFRecord files.
error	Error types and error handling utilities.
io	Low level synchronous and asynchronous I/O functions.
markers	Marker traits and impls.
protos	ProtocolBuffer types compiled from TensorFlow.
reader	Reading TFRecord data format.
record	High level example and feature types.
summary	Summary and event types and writers for TensorBoard.
writer	Writing TFRecord data format.

EventInit	A Event initializer.
EventWriter	The event writer type.
EventWriterInit	The event writer initializer.
Histogram	Concurrent histogram data structure.
RecordReader	The generic reader type.
RecordReaderInit	The reader initializer.
RecordStreamInit	The stream initializer.
SummaryInit	A Summary initializer.