Sets the shape of each element of the queue. tuple_shapes must be a list of length self.number_of_tuple_elements, and each element must be convertible to a TensorShape. Args: tuple_shapes: the shapes of each queue element. Raises: ValueError: if tuple_shapes is not
(self, tuple_shapes)
| 258 | return self._tuple_shapes |
| 259 | |
| 260 | def set_tuple_shapes(self, tuple_shapes): |
| 261 | """Sets the shape of each element of the queue. |
| 262 | |
| 263 | tuple_shapes must be a list of length |
| 264 | self.number_of_tuple_elements, and each element must be |
| 265 | convertible to a TensorShape. |
| 266 | |
| 267 | Args: |
| 268 | tuple_shapes: the shapes of each queue element. |
| 269 | |
| 270 | Raises: |
| 271 | ValueError: if tuple_shapes is not of length |
| 272 | self.number_of_tuple_elements. |
| 273 | TypeError: if an element of tuple_shapes cannot be converted to |
| 274 | a TensorShape. |
| 275 | """ |
| 276 | if len(tuple_shapes) != self.number_of_tuple_elements: |
| 277 | raise ValueError("tuple_shapes is %s, but must be a list of length %d" % |
| 278 | (str(tuple_shapes), self.number_of_tuple_elements)) |
| 279 | try: |
| 280 | tuple_shapes = [tensor_shape.as_shape(shape) for shape in tuple_shapes] |
| 281 | except (ValueError, TypeError) as e: |
| 282 | raise TypeError( |
| 283 | "tuple_shapes is %s, but must be a list of elements each " |
| 284 | "convertible to TensorShape: got error %s" % (str(tuple_shapes), |
| 285 | str(e))) |
| 286 | if self._frozen: |
| 287 | for (frozen, updated) in zip(self._tuple_shapes, tuple_shapes): |
| 288 | if frozen != updated: |
| 289 | raise ValueError( |
| 290 | "Trying to update InfeedQueue with frozen configuration with an " |
| 291 | "incompatible shape. Frozen shapes are %s, updated shapes are %s" |
| 292 | % (str(self._tuple_shapes), str(tuple_shapes))) |
| 293 | else: |
| 294 | self._tuple_shapes = tuple_shapes |
| 295 | self._validate() |
| 296 | |
| 297 | @property |
| 298 | def sharding_policies(self): |