(x, indices)
| 258 | |
| 259 | |
| 260 | def parse_index(x, indices): |
| 261 | is_tensor_array = is_tensor_array_type(x) |
| 262 | |
| 263 | advanced_index = ( |
| 264 | [] if is_tensor_array else [None] * 2 * len(x.shape) |
| 265 | ) # content is (dim, index) |
| 266 | # for set_value / slice / strided_slice OP |
| 267 | decrease_axes = [] |
| 268 | axes = [] |
| 269 | starts = [] |
| 270 | ends = [] |
| 271 | steps = [] |
| 272 | use_strided_slice = False |
| 273 | has_advanced_index = False |
| 274 | |
| 275 | if not isinstance(indices, tuple): |
| 276 | indices = (indices,) |
| 277 | |
| 278 | indices = replace_ndarray_and_range(indices) |
| 279 | indices = replace_ellipsis(x, indices) |
| 280 | indices, none_axes = replace_none(indices) |
| 281 | |
| 282 | estimated_dim = 0 |
| 283 | dim = 0 |
| 284 | for i, slice_item in enumerate(indices): |
| 285 | start, end, step = None, None, None |
| 286 | if type(slice_item) is int: |
| 287 | if ( |
| 288 | not is_tensor_array |
| 289 | and x.shape[dim] is not None |
| 290 | and x.shape[dim] >= 0 |
| 291 | and slice_item >= x.shape[dim] |
| 292 | ): |
| 293 | # For python, if users write a, b = var, the __getitem__ |
| 294 | # method will iterate through 0, 1, 2 ... until __getitem__ |
| 295 | # throws an IndexError, then stop. The var[0], var[1] will |
| 296 | # be given to a, b respectively. If more values are given, |
| 297 | # the unpack size would cause error. |
| 298 | # We raises IndexError here to support grammar like `a, b = var` |
| 299 | raise IndexError( |
| 300 | f"slice_item {slice_item} at dim {dim} should be >= 0 and < x.shape[{dim}]: {x.shape[dim]}" |
| 301 | ) |
| 302 | # not calculate result to reduce call times for slice OP. |
| 303 | decrease_axes.append(dim) |
| 304 | start = slice_item |
| 305 | step = 1 |
| 306 | end = slice_item + 1 if slice_item != -1 else MAX_INTEGER |
| 307 | dim += 1 |
| 308 | elif is_scalar_tensor(slice_item): |
| 309 | # not calculate result to reduce call times for slice OP. |
| 310 | decrease_axes.append(dim) |
| 311 | start = slice_item |
| 312 | step = 1 |
| 313 | end = slice_item + 1 |
| 314 | dim += 1 |
| 315 | elif isinstance(slice_item, bool): |
| 316 | # single bool is advanced-indexing |
| 317 | none_axes.append(dim) |
no test coverage detected