A Reader that outputs the records from a TFRecords file.

See ReaderBase for supported methods.
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#### `tf.TFRecordReader.__init__(name=None, options=None)` {#TFRecordReader.__init__}

Create a TFRecordReader.

##### Args:


*  <b>`name`</b>: A name for the operation (optional).
*  <b>`options`</b>: A TFRecordOptions object (optional).


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#### `tf.TFRecordReader.num_records_produced(name=None)` {#TFRecordReader.num_records_produced}

Returns the number of records this reader has produced.

This is the same as the number of Read executions that have
succeeded.

##### Args:


*  <b>`name`</b>: A name for the operation (optional).

##### Returns:

  An int64 Tensor.


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#### `tf.TFRecordReader.num_work_units_completed(name=None)` {#TFRecordReader.num_work_units_completed}

Returns the number of work units this reader has finished processing.

##### Args:


*  <b>`name`</b>: A name for the operation (optional).

##### Returns:

  An int64 Tensor.


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#### `tf.TFRecordReader.read(queue, name=None)` {#TFRecordReader.read}

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:


*  <b>`queue`</b>: A Queue or a mutable string Tensor representing a handle
    to a Queue, with string work items.
*  <b>`name`</b>: A name for the operation (optional).

##### Returns:

  A tuple of Tensors (key, value).

*  <b>`key`</b>: A string scalar Tensor.
*  <b>`value`</b>: A string scalar Tensor.


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#### `tf.TFRecordReader.read_up_to(queue, num_records, name=None)` {#TFRecordReader.read_up_to}

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:


*  <b>`queue`</b>: A Queue or a mutable string Tensor representing a handle
    to a Queue, with string work items.
*  <b>`num_records`</b>: Number of records to read.
*  <b>`name`</b>: A name for the operation (optional).

##### Returns:

  A tuple of Tensors (keys, values).

*  <b>`keys`</b>: A 1-D string Tensor.
*  <b>`values`</b>: A 1-D string Tensor.


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#### `tf.TFRecordReader.reader_ref` {#TFRecordReader.reader_ref}

Op that implements the reader.


- - -

#### `tf.TFRecordReader.reset(name=None)` {#TFRecordReader.reset}

Restore a reader to its initial clean state.

##### Args:


*  <b>`name`</b>: A name for the operation (optional).

##### Returns:

  The created Operation.


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#### `tf.TFRecordReader.restore_state(state, name=None)` {#TFRecordReader.restore_state}

Restore a reader to a previously saved state.

Not all Readers support being restored, so this can produce an
Unimplemented error.

##### Args:


*  <b>`state`</b>: A string Tensor.
    Result of a SerializeState of a Reader with matching type.
*  <b>`name`</b>: A name for the operation (optional).

##### Returns:

  The created Operation.


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#### `tf.TFRecordReader.serialize_state(name=None)` {#TFRecordReader.serialize_state}

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:


*  <b>`name`</b>: A name for the operation (optional).

##### Returns:

  A string Tensor.


- - -

#### `tf.TFRecordReader.supports_serialize` {#TFRecordReader.supports_serialize}

Whether the Reader implementation can serialize its state.