See TensorArray.
(self, indices, value, name=None)
| 580 | |
| 581 | @tf_should_use.should_use_result |
| 582 | def scatter(self, indices, value, name=None): |
| 583 | """See TensorArray.""" |
| 584 | with ops.name_scope(name, "TensorArrayScatter", |
| 585 | [self._flow, value, indices]): |
| 586 | # TODO(b/129870929): Fix after all callers provide proper init dtype. |
| 587 | value = ops.convert_to_tensor( |
| 588 | value, preferred_dtype=self._dtype, name="value") |
| 589 | _check_dtypes(value, self._dtype) |
| 590 | self._check_element_shape(value.shape[1:]) |
| 591 | flow_out = list_ops.tensor_list_scatter( |
| 592 | tensor=value, indices=indices, element_shape=self.element_shape, |
| 593 | input_handle=self._flow) |
| 594 | return build_ta_with_new_flow(self, flow_out) |
| 595 | |
| 596 | @tf_should_use.should_use_result |
| 597 | def split(self, value, lengths, name=None): |
nothing calls this directly
no test coverage detected