Converts a list of same-length lists of values to eager tensors.
(lists, ctx)
| 279 | |
| 280 | |
| 281 | def args_to_mixed_eager_tensors(lists, ctx): |
| 282 | """Converts a list of same-length lists of values to eager tensors.""" |
| 283 | assert len(lists) > 1 |
| 284 | |
| 285 | # Generate an error if len(lists[i]) is not the same for all i. |
| 286 | lists_ret = [] |
| 287 | for l in lists[1:]: |
| 288 | if len(l) != len(lists[0]): |
| 289 | raise ValueError( |
| 290 | "Expected list arguments to be the same length: %d != %d (%r vs. %r)." |
| 291 | % (len(lists[0]), len(l), lists[0], l)) |
| 292 | lists_ret.append([]) |
| 293 | |
| 294 | # Convert the first element of each list first, then the second element, etc. |
| 295 | types = [] |
| 296 | for i in range(len(lists[0])): |
| 297 | dtype = None |
| 298 | # If any list has a Tensor, use that dtype |
| 299 | for l in lists: |
| 300 | if isinstance(l[i], ops.EagerTensor): |
| 301 | dtype = l[i].dtype |
| 302 | break |
| 303 | if dtype is None: |
| 304 | # Convert the first one and use its dtype. |
| 305 | lists_ret[0].append(ops.internal_convert_to_tensor(lists[0][i], ctx=ctx)) |
| 306 | dtype = lists_ret[0][i].dtype |
| 307 | for j in range(1, len(lists)): |
| 308 | lists_ret[j].append( |
| 309 | ops.internal_convert_to_tensor(lists[j][i], dtype=dtype, ctx=ctx)) |
| 310 | else: |
| 311 | # Convert everything to the found dtype. |
| 312 | for j in range(len(lists)): |
| 313 | lists_ret[j].append( |
| 314 | ops.internal_convert_to_tensor(lists[j][i], dtype=dtype, ctx=ctx)) |
| 315 | types.append(dtype.as_datatype_enum) |
| 316 | return types, lists_ret |