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/external/tensorflow/tensorflow/python/keras/engine/
Ddata_adapter.py1064 def broadcast_sample_weight_modes(target_structure, sample_weight_modes): argument
1066 if target_structure is None or not nest.flatten(target_structure):
1070 if isinstance(target_structure, dict):
1071 return {key: sample_weight_modes for key in target_structure.keys()}
1072 return [sample_weight_modes for _ in target_structure]
1077 training_utils.list_to_tuple(target_structure),
1080 target_str = str(nest.map_structure(lambda _: "...", target_structure))
1088 target_structure, nest.flatten(sample_weight_modes))