LabeledTensor version of `tf.{op_name}`. See `tf.{op_name}` for full details. Args: labeled_tensor: Input tensor. name: Optional op name. Returns: A LabeledTensor with result of applying `tf.{op_name}` elementwise.
(labeled_tensor, name=None)
| 1075 | @tc.returns(LabeledTensor) |
| 1076 | @tc.accepts(LabeledTensorLike, tc.Optional(string_types)) |
| 1077 | def op(labeled_tensor, name=None): |
| 1078 | """LabeledTensor version of `tf.{op_name}`. |
| 1079 | |
| 1080 | See `tf.{op_name}` for full details. |
| 1081 | |
| 1082 | Args: |
| 1083 | labeled_tensor: Input tensor. |
| 1084 | name: Optional op name. |
| 1085 | |
| 1086 | Returns: |
| 1087 | A LabeledTensor with result of applying `tf.{op_name}` elementwise. |
| 1088 | """ |
| 1089 | with ops.name_scope(name, default_name, [labeled_tensor]) as scope: |
| 1090 | labeled_tensor = convert_to_labeled_tensor(labeled_tensor) |
| 1091 | result_tensor = elementwise_function(labeled_tensor.tensor, name=scope) |
| 1092 | return LabeledTensor(result_tensor, labeled_tensor.axes) |
| 1093 | |
| 1094 | op.__doc__ = op.__doc__.format(op_name=op_name) |
| 1095 | op.__name__ = op_name |
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