tensorflow::ops::RecordInput

Emits randomized records.

Summary

Args:

• scope: A Scope object
• file_pattern: Glob pattern for the data files.

Optional attributes (see Attrs):

• file_random_seed: Random seeds used to produce randomized records.
• file_shuffle_shift_ratio: Shifts the list of files after the list is randomly shuffled.
• file_buffer_size: The randomization shuffling buffer.
• file_parallelism: How many sstables are opened and concurrently iterated over.
• batch_size: The batch size.
• compression_type: The type of compression for the file. Currently ZLIB and GZIP are supported. Defaults to none.

Returns:

• Output: A tensor of shape [batch_size].

Public attributes

Operation operation

::tensorflow::Output records

Public functions

 RecordInput(
  const ::tensorflow::Scope & scope,
  StringPiece file_pattern
)

 RecordInput(
  const ::tensorflow::Scope & scope,
  StringPiece file_pattern,
  const RecordInput::Attrs & attrs
)

::tensorflow::Node * node() const 

 operator::tensorflow::Input() const 

 operator::tensorflow::Output() const 

Public static functions

Attrs BatchSize(
  int64 x
)

Attrs CompressionType(
  StringPiece x
)

Attrs FileBufferSize(
  int64 x
)

Attrs FileParallelism(
  int64 x
)

Attrs FileRandomSeed(
  int64 x
)

Attrs FileShuffleShiftRatio(
  float x
)