Hi maintainers,
similarly to #122, while reviewing for JOSS (openjournals/joss-reviews#10439), I realized that the DACbench example (https://github.com/automl/Mighty/tree/joss_paper#learning-a-configuration-policy-via-dac) does not run as well.
Installed dacbench v0.4.0 from PyPI.
Full trace:
(Mighty) janik@Mac Mighty % python mighty/run_mighty.py 'algorithm=ppo' 'environment=dacbench/function_approximation'
/Users/janik/source/Mighty/.venv/lib/python3.11/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
import pynvml # type: ignore[import]
Gym has been unmaintained since 2022 and does not support NumPy 2.0 amongst other critical functionality.
Please upgrade to Gymnasium, the maintained drop-in replacement of Gym, or contact the authors of your software and request that they upgrade.
See the migration guide at https://gymnasium.farama.org/introduction/migration_guide/ for additional information.
Using default wandb logging. If you prefer trackio, please install it with `pip install trackio`.
Error executing job with overrides: ['algorithm=ppo', 'environment=dacbench/function_approximation']
Traceback (most recent call last):
File "/Users/janik/source/Mighty/mighty/run_mighty.py", line 30, in <module>
run_mighty()
File "/Users/janik/source/Mighty/.venv/lib/python3.11/site-packages/hydra/main.py", line 94, in decorated_main
_run_hydra(
File "/Users/janik/source/Mighty/.venv/lib/python3.11/site-packages/hydra/_internal/utils.py", line 394, in _run_hydra
_run_app(
File "/Users/janik/source/Mighty/.venv/lib/python3.11/site-packages/hydra/_internal/utils.py", line 457, in _run_app
run_and_report(
File "/Users/janik/source/Mighty/.venv/lib/python3.11/site-packages/hydra/_internal/utils.py", line 223, in run_and_report
raise ex
File "/Users/janik/source/Mighty/.venv/lib/python3.11/site-packages/hydra/_internal/utils.py", line 220, in run_and_report
return func()
^^^^^^
File "/Users/janik/source/Mighty/.venv/lib/python3.11/site-packages/hydra/_internal/utils.py", line 458, in <lambda>
lambda: hydra.run(
^^^^^^^^^^
File "/Users/janik/source/Mighty/.venv/lib/python3.11/site-packages/hydra/_internal/hydra.py", line 132, in run
_ = ret.return_value
^^^^^^^^^^^^^^^^
File "/Users/janik/source/Mighty/.venv/lib/python3.11/site-packages/hydra/core/utils.py", line 260, in return_value
raise self._return_value
File "/Users/janik/source/Mighty/.venv/lib/python3.11/site-packages/hydra/core/utils.py", line 186, in run_job
ret.return_value = task_function(task_cfg)
^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/janik/source/Mighty/mighty/run_mighty.py", line 14, in run_mighty
runner = runner_cls(cfg)
^^^^^^^^^^^^^^^
File "/Users/janik/source/Mighty/mighty/mighty_runners/mighty_runner.py", line 63, in __init__
self.agent = agent_class( # type: ignore
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/janik/source/Mighty/mighty/mighty_agents/ppo.py", line 126, in __init__
super().__init__(
File "/Users/janik/source/Mighty/mighty/mighty_agents/base_agent.py", line 299, in __init__
json.dump(self.env.instance_set, f)
File "/Users/janik/.local/share/uv/python/cpython-3.11.15-macos-aarch64-none/lib/python3.11/json/__init__.py", line 179, in dump
for chunk in iterable:
File "/Users/janik/.local/share/uv/python/cpython-3.11.15-macos-aarch64-none/lib/python3.11/json/encoder.py", line 430, in _iterencode
yield from _iterencode_list(o, _current_indent_level)
File "/Users/janik/.local/share/uv/python/cpython-3.11.15-macos-aarch64-none/lib/python3.11/json/encoder.py", line 326, in _iterencode_list
yield from chunks
File "/Users/janik/.local/share/uv/python/cpython-3.11.15-macos-aarch64-none/lib/python3.11/json/encoder.py", line 406, in _iterencode_dict
yield from chunks
File "/Users/janik/.local/share/uv/python/cpython-3.11.15-macos-aarch64-none/lib/python3.11/json/encoder.py", line 439, in _iterencode
o = _default(o)
^^^^^^^^^^^
File "/Users/janik/.local/share/uv/python/cpython-3.11.15-macos-aarch64-none/lib/python3.11/json/encoder.py", line 180, in default
raise TypeError(f'Object of type {o.__class__.__name__} '
TypeError: Object of type FunctionApproximationInstance is not JSON serializable
Exception ignored in: <function MightyAgent.__del__ at 0x128d89800>
Traceback (most recent call last):
File "/Users/janik/source/Mighty/mighty/mighty_agents/base_agent.py", line 442, in __del__
File "/Users/janik/source/Mighty/mighty/mighty_utils/wrappers.py", line 240, in close
File "/Users/janik/source/Mighty/.venv/lib/python3.11/site-packages/dacbench/envs/function_approximation.py", line 107, in close
AttributeError: 'FunctionApproximationEnv' object has no attribute 'instance_set'
Hi maintainers,
similarly to #122, while reviewing for JOSS (openjournals/joss-reviews#10439), I realized that the DACbench example (https://github.com/automl/Mighty/tree/joss_paper#learning-a-configuration-policy-via-dac) does not run as well.
Installed
dacbench v0.4.0from PyPI.Full trace: