def _apply_fn(dataset): return readers.ParallelInterleaveDataset(dataset, map_func, cycle_length, block_length, sloppy=True, buffer_output_elements=None, prefetch_input_elements=None)
def apply_fn(dataset): return core_readers.ParallelInterleaveDataset( dataset, filename_to_dataset, cycle_length=num_parallel_reads, block_length=1, sloppy=sloppy, buffer_output_elements=None, prefetch_input_elements=None)
def apply_fn(dataset): return core_readers.ParallelInterleaveDataset( dataset, lambda filename: reader(filename, *reader_args), cycle_length=reader_num_threads, block_length=1, sloppy=sloppy_ordering, buffer_output_elements=None, prefetch_input_elements=None)
def apply_fn(d): return core_readers.ParallelInterleaveDataset( d, lambda filename: reader(filename), cycle_length=reader_num_threads, block_length=1, sloppy=True, buffer_output_elements=None, prefetch_input_elements=None)