Public API for tf._api.v2.io namespace
Modules
gfile module: Public API for tf._api.v2.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 the contents of file.
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.
write_graph(...): Writes a graph proto to a file.