tf.raw_ops.FixedLengthRecordDataset

Creates a dataset that emits the records from one or more binary files.

tf.raw_ops.FixedLengthRecordDataset(
    filenames, header_bytes, record_bytes, footer_bytes, buffer_size, name=None
)

Args:

  • filenames: A Tensor of type string. A scalar or a vector containing the name(s) of the file(s) to be read.
  • header_bytes: A Tensor of type int64. A scalar representing the number of bytes to skip at the beginning of a file.
  • record_bytes: A Tensor of type int64. A scalar representing the number of bytes in each record.
  • footer_bytes: A Tensor of type int64. A scalar representing the number of bytes to skip at the end of a file.
  • buffer_size: A Tensor of type int64. A scalar representing the number of bytes to buffer. Must be > 0.
  • name: A name for the operation (optional).

Returns:

A Tensor of type variant.