Module: tf.compat.v1.io Public API for tf.io namespace. Modules gfile module: Public API for tf.io.gfile namespace. Classes class FixedLenFeature: Configuration for parsing a fixed-length input feature. class FixedLenSequenceFeature: Configuration for parsing a variable-length input feature into a Tensor. class PaddingFIFOQueue: A FIFOQueue that supports batching variable-sized tensors by padding. class PriorityQueue: A queue implementation that dequeues elements in prioritized order. class QueueBase: Base class for queue implementations. class RaggedFeature: Configuration for passing a RaggedTensor input feature. class RandomShuffleQueue: A queue implementation that dequeues elements in a random order. class SparseFeature: Configuration for parsing a sparse input feature from an Example. class TFRecordCompressionType: The type of compression for the record. class TFRecordOptions: Options used for manipulating TFRecord files. class TFRecordWriter: A class to write records to a TFRecords file. class VarLenFeature: Configuration for parsing a variable-length input feature. Functions decode_and_crop_jpeg(...): Decode and Crop a JPEG-encoded image to a uint8 tensor. decode_base64(...): Decode web-safe base64-encoded strings. decode_bmp(...): Decode the first frame of a BMP-encoded image to a uint8 tensor. decode_compressed(...): Decompress strings. decode_csv(...): Convert CSV records to tensors. Each column maps to one tensor. decode_gif(...): Decode the frame(s) of a GIF-encoded image to a uint8 tensor. decode_image(...): Function for decode_bmp, decode_gif, decode_jpeg, and decode_png. decode_jpeg(...): Decode a JPEG-encoded image to a uint8 tensor. decode_json_example(...): Convert JSON-encoded Example records to binary protocol buffer strings. decode_png(...): Decode a PNG-encoded image to a uint8 or uint16 tensor. decode_proto(...): The op extracts fields from a serialized protocol buffers message into tensors. decode_raw(...): Convert raw byte strings into tensors. (deprecated arguments) deserialize_many_sparse(...): Deserialize and concatenate SparseTensors from a serialized minibatch. encode_base64(...): Encode strings into web-safe base64 format. encode_jpeg(...): JPEG-encode an image. encode_png(...): PNG-encode an image. encode_proto(...): The op serializes protobuf messages provided in the input tensors. extract_jpeg_shape(...): Extract the shape information of a JPEG-encoded image. is_jpeg(...): Convenience function to check if the 'contents' encodes a JPEG image. match_filenames_once(...): Save the list of files matching pattern, so it is only computed once. matching_files(...): Returns the set of files matching one or more glob patterns. parse_example(...): Parses Example protos into a dict of tensors. parse_sequence_example(...): Parses a batch of SequenceExample protos. parse_single_example(...): Parses a single Example proto. parse_single_sequence_example(...): Parses a single SequenceExample proto. parse_tensor(...): Transforms a serialized tensorflow.TensorProto proto into a Tensor. read_file(...): Reads and outputs the entire contents of the input filename. serialize_many_sparse(...): Serialize N-minibatch SparseTensor into an [N, 3] Tensor. serialize_sparse(...): Serialize a SparseTensor into a 3-vector (1-D Tensor) object. serialize_tensor(...): Transforms a Tensor into a serialized TensorProto proto. tf_record_iterator(...): An iterator that read the records from a TFRecords file. (deprecated) write_file(...): Writes contents to the file at input filename. Creates file and recursively write_graph(...): Writes a graph proto to a file.