View source on GitHub
|
Module level imports for tfx_bsl.public.tfxio.
TFXIO defines a common in-memory data representation shared by all TFX libraries and components, as well as an I/O abstraction layer to produce such representations. See the RFC for details: https://github.com/tensorflow/community/blob/master/rfcs/20191017-tfx-standardized-inputs.md
Classes
class BeamRecordCsvTFXIO: TFXIO implementation for CSV records in pcoll[bytes].
class CsvTFXIO: TFXIO implementation for CSV.
class RecordBatchToExamplesEncoder: Encodes pa.RecordBatch as a list of serialized tf.Examples.
class RecordBatchesOptions: Options for TFXIO's RecordBatches.
class TFExampleBeamRecord: TFXIO implementation for serialized tf.Examples in pcoll[bytes].
class TFExampleRecord: TFXIO implementation for tf.Example on TFRecord.
class TFGraphRecordDecoder: Base class for decoders that turns a list of bytes to (composite) tensors.
class TFSequenceExampleBeamRecord: TFXIO implementation for serialized tf.SequenceExamples in pcoll[bytes].
class TFSequenceExampleRecord: TFXIO implementation for tf.SequenceExample on TFRecord.
class TFXIO: Abstract basic class of all TFXIO API implementations.
class TensorAdapter: A TensorAdapter converts a RecordBatch to a collection of TF Tensors.
class TensorAdapterConfig: Config to a TensorAdapter.
class TensorFlowDatasetOptions: Options for TFXIO's TensorFlowDataset.