square-agency-59624
10/09/2025, 4:21 PM╭─────────────────────────────── Traceback (most recent call last) ────────────────────────────────╮
│ 455 │ │ │ │ if self._state in [CANCELLED, CANCELLED_AND_NOTIFIED]: │
│ 456 │ │ │ │ │ raise CancelledError() │
│ 457 │ │ │ │ elif self._state == FINISHED: │
│ ❱ 458 │ │ │ │ │ return self.__get_result() │
│ 459 │ │ │ │ else: │
│ 460 │ │ │ │ │ raise TimeoutError() │
│ 461 │ │ finally: │
│ │
│ __get_result │
│ │
│ 400 │ def __get_result(self): │
│ 401 │ │ if self._exception: │
│ 402 │ │ │ try: │
│ ❱ 403 │ │ │ │ raise self._exception │
│ 404 │ │ │ finally: │
│ 405 │ │ │ │ # Break a reference cycle with the exception in self._exception │
│ 406 │ │ │ │ self = None │
╰──────────────────────────────────────────────────────────────────────────────────────────────────╯
ValueError: cuda and cudnn do not need to be specified. If you are installed a GPU accelerated library on PyPI, then it likely will install cuda from PyPI.With conda you can installed cuda from the `nvidia` channel by adding `nvidia` to ImageSpec.conda_channels and
adding packages from <https://anaconda.org/nvidia> into ImageSpec.conda_packages. If you require cuda for non-python dependencies, you can set a `base_image` with cuda preinstalled.ancient-wolf-19325
10/09/2025, 4:21 PM