tf.compat.v1.TextLineReader A Reader that outputs the lines of a file delimited by newlines. Inherits From: ReaderBase 
tf.compat.v1.TextLineReader(
    skip_header_lines=None, name=None
)
 Newlines are stripped from the output. See ReaderBase for supported methods.
 


 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).    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.