Python experimental_matching_files_dataset Examples

Example #1

 def __init__(self, patterns):
     self._patterns = ops.convert_to_tensor(patterns,
                                            dtype=dtypes.string,
                                            name="patterns")
     variant_tensor = ged_ops.experimental_matching_files_dataset(
         self._patterns)
     super(MatchingFilesDataset, self).__init__(variant_tensor)

Example #2

File: matching_files.py Project: zzted/tensorflow

 def __init__(self, patterns):
     self._patterns = ops.convert_to_tensor(patterns,
                                            dtype=dtypes.string,
                                            name="patterns")
     if compat.forward_compatible(2019, 8, 3):
         variant_tensor = ged_ops.matching_files_dataset(self._patterns)
     else:
         variant_tensor = ged_ops.experimental_matching_files_dataset(
             self._patterns)
     super(MatchingFilesDataset, self).__init__(variant_tensor)

Example #3

 def _as_variant_tensor(self):
     return ged_ops.experimental_matching_files_dataset(self._patterns)

Example #4

File: matching_files.py Project: aeverall/tensorflow

 def _as_variant_tensor(self):
   return ged_ops.experimental_matching_files_dataset(self._patterns)

Example #5

File: matching_files.py Project: Wajih-O/tensorflow

 def __init__(self, patterns):
   self._patterns = ops.convert_to_tensor(
       patterns, dtype=dtypes.string, name="patterns")
   variant_tensor = ged_ops.experimental_matching_files_dataset(self._patterns)
   super(MatchingFilesDataset, self).__init__(variant_tensor)