Class FixedLengthRecordReader
Inherits From: ReaderBase
Defined in tensorflow/python/ops/io_ops.py.
A Reader that outputs fixed-length records from a file.
See ReaderBase for supported methods.
Eager Compatibility
Readers are not compatible with eager execution. Instead, please
use tf.data to get data into your model.
__init__
__init__(
record_bytes,
header_bytes=None,
footer_bytes=None,
hop_bytes=None,
name=None,
encoding=None
)
Create a FixedLengthRecordReader. (deprecated)
Args:
record_bytes: An int.header_bytes: An optional int. Defaults to 0.footer_bytes: An optional int. Defaults to 0.hop_bytes: An optional int. Defaults to 0.name: A name for the operation (optional).encoding: The type of encoding for the file. Defaults to none.
Properties
reader_ref
Op that implements the reader.
supports_serialize
Whether the Reader implementation can serialize its state.
Methods
tf.FixedLengthRecordReader.num_records_produced
num_records_produced(name=None)
Returns the number of records this reader has produced.
This is the same as the number of Read executions that have succeeded.
Args:
name: A name for the operation (optional).
Returns:
An int64 Tensor.
tf.FixedLengthRecordReader.num_work_units_completed
num_work_units_completed(name=None)
Returns the number of work units this reader has finished processing.
Args:
name: A name for the operation (optional).
Returns:
An int64 Tensor.
tf.FixedLengthRecordReader.read
read(
queue,
name=None
)
Returns the next record (key, value) pair produced by a reader.
Will dequeue a work unit from queue if necessary (e.g. when the Reader needs to start reading from a new file since it has finished with the previous file).
Args:
queue: A Queue or a mutable string Tensor representing a handle to a Queue, with string work items.name: A name for the operation (optional).
Returns:
A tuple of Tensors (key, value).
* key: A string scalar Tensor.
* value: A string scalar Tensor.
tf.FixedLengthRecordReader.read_up_to
read_up_to(
queue,
num_records,
name=None
)
Returns up to num_records (key, value) pairs produced by a reader.
Will dequeue a work unit from queue if necessary (e.g., when the Reader needs to start reading from a new file since it has finished with the previous file). It may return less than num_records even before the last batch.
Args:
queue: A Queue or a mutable string Tensor representing a handle to a Queue, with string work items.num_records: Number of records to read.name: A name for the operation (optional).
Returns:
A tuple of Tensors (keys, values).
* keys: A 1-D string Tensor.
* values: A 1-D string Tensor.
tf.FixedLengthRecordReader.reset
reset(name=None)
Restore a reader to its initial clean state.
Args:
name: A name for the operation (optional).
Returns:
The created Operation.
tf.FixedLengthRecordReader.restore_state
restore_state(
state,
name=None
)
Restore a reader to a previously saved state.
Not all Readers support being restored, so this can produce an Unimplemented error.
Args:
state: A string Tensor. Result of a SerializeState of a Reader with matching type.name: A name for the operation (optional).
Returns:
The created Operation.
tf.FixedLengthRecordReader.serialize_state
serialize_state(name=None)
Produce a string tensor that encodes the state of a reader.
Not all Readers support being serialized, so this can produce an Unimplemented error.
Args:
name: A name for the operation (optional).
Returns:
A string Tensor.