tf.TextLineReader

Class TextLineReader

Inherits From: ReaderBase

Defined in tensorflow/python/ops/io_ops.py.

See the guides: Inputs and Readers > Readers, Reading data > QueueRunner

A Reader that outputs the lines of a file delimited by newlines.

Newlines are stripped from the output. 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.

Properties

reader_ref

Op that implements the reader.

supports_serialize

Whether the Reader implementation can serialize its state.

Methods

__init__

__init__(
    skip_header_lines=None,
    name=None
)

Create a TextLineReader.

Args:

  • skip_header_lines: An optional int. Defaults to 0. Number of lines to skip from the beginning of every file.
  • name: A name for the operation (optional).

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.

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.

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.

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.

reset

reset(name=None)

Restore a reader to its initial clean state.

Args:

  • name: A name for the operation (optional).

Returns:

The created Operation.

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.

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.