Write `value` into index `index` of the TensorArray. Args: index: 0-D. int32 scalar with the index to write to. value: N-D. Tensor of type `dtype`. The Tensor to write to this index. name: A name for the operation (optional). Returns: A new TensorArray object wit
(self, index, value, name=None)
| 1067 | return self._implementation.read(index, name=name) |
| 1068 | |
| 1069 | def write(self, index, value, name=None): |
| 1070 | """Write `value` into index `index` of the TensorArray. |
| 1071 | |
| 1072 | Args: |
| 1073 | index: 0-D. int32 scalar with the index to write to. |
| 1074 | value: N-D. Tensor of type `dtype`. The Tensor to write to this index. |
| 1075 | name: A name for the operation (optional). |
| 1076 | |
| 1077 | Returns: |
| 1078 | A new TensorArray object with flow that ensures the write occurs. |
| 1079 | Use this object all for subsequent operations. |
| 1080 | |
| 1081 | Raises: |
| 1082 | ValueError: if there are more writers than specified. |
| 1083 | """ |
| 1084 | return self._implementation.write(index, value, name=name) |
| 1085 | |
| 1086 | def stack(self, name=None): |
| 1087 | """Return the values in the TensorArray as a stacked `Tensor`. |
no outgoing calls