コード例 #1
0
 def _apply_fn(dataset):
     return readers.ParallelInterleaveDataset(dataset,
                                              map_func,
                                              cycle_length,
                                              block_length,
                                              sloppy=True,
                                              buffer_output_elements=None,
                                              prefetch_input_elements=None)
コード例 #2
0
 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)
コード例 #3
0
 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)
コード例 #4
0
ファイル: utils.py プロジェクト: Federicowengi/zenml
 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)