tf.compat.v1.ReaderBase Base class for different Reader types, that produce a record every step. 
tf.compat.v1.ReaderBase(
    reader_ref, supports_serialize=False
)
 Conceptually, Readers convert string 'work units' into records (key, value pairs). Typically the 'work units' are filenames and the records are extracted from the contents of those files. We want a single record produced per step, but a work unit can correspond to many records. Therefore we introduce some decoupling using a queue. The queue contains the work units and the Reader dequeues from the queue when it is asked to produce a record (via Read()) but it has finished the last work unit.
 


 Args
  reader_ref   The operation that implements the reader.  
  supports_serialize   True if the reader implementation can serialize its state.   
 


 Raises
  RuntimeError   If eager execution is enabled.    Eager Compatibility Readers are not compatible with eager execution. Instead, please use tf.data to get data into your model.
 


 Attributes
  reader_ref   Op that implements the reader.  
  supports_serialize   Whether the Reader implementation can serialize its state.    Methods num_records_produced View source 
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 View source 
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 View source 
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 View source 
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 View source 
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 View source 
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 View source 
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.