[Question]
camtrik opened this issue · comments
camtrik commented
❓ Question: Error about numpy and nevergrad version?
When running nndet_prep, got error about numpy has no attribute 'int' in nevergrad==0.4.2
2024-01-22 03:05:20.885 | INFO | nndet.planning.architecture.boxes.c002:_plan_anchors:258 - Filtered 5 boxes, 116 boxes remaining for anchor planning.
Traceback (most recent call last):
File "/home/zhang-h/anaconda3/envs/nndetection/bin/nndet_prep", line 33, in <module>
sys.exit(load_entry_point('nndet', 'console_scripts', 'nndet_prep')())
File "/home/zhang-h/pytest/classic_models/nnDetection/nndet/utils/check.py", line 62, in wrapper
return func(*args, **kwargs)
File "/home/zhang-h/pytest/classic_models/nnDetection/scripts/preprocess.py", line 406, in main
run(OmegaConf.to_container(cfg, resolve=True),
File "/home/zhang-h/pytest/classic_models/nnDetection/scripts/preprocess.py", line 335, in run
run_planning_and_process(
File "/home/zhang-h/pytest/classic_models/nnDetection/scripts/preprocess.py", line 162, in run_planning_and_process
plan_identifiers = planner.plan_experiment(
File "/home/zhang-h/pytest/classic_models/nnDetection/nndet/planning/experiment/v001.py", line 43, in plan_experiment
plan_3d = self.plan_base_stage(
File "/home/zhang-h/pytest/classic_models/nnDetection/nndet/planning/experiment/base.py", line 234, in plan_base_stage
architecture_plan = architecture_planner.plan(
File "/home/zhang-h/pytest/classic_models/nnDetection/nndet/planning/architecture/boxes/c002.py", line 127, in plan
res = super().plan(
File "/home/zhang-h/pytest/classic_models/nnDetection/nndet/planning/architecture/boxes/base.py", line 352, in plan
anchors = self._plan_anchors(
File "/home/zhang-h/pytest/classic_models/nnDetection/nndet/planning/architecture/boxes/c002.py", line 270, in _plan_anchors
params = self.find_anchors(boxes_torch, strides.astype(np.int32), anchor_generator)
File "/home/zhang-h/pytest/classic_models/nnDetection/nndet/planning/architecture/boxes/base.py", line 445, in find_anchors
import nevergrad as ng
File "/home/zhang-h/anaconda3/envs/nndetection/lib/python3.9/site-packages/nevergrad/__init__.py", line 7, in <module>
from .parametrization import parameter as p
File "/home/zhang-h/anaconda3/envs/nndetection/lib/python3.9/site-packages/nevergrad/parametrization/__init__.py", line 9, in <module>
from . import parameter as parameter
File "/home/zhang-h/anaconda3/envs/nndetection/lib/python3.9/site-packages/nevergrad/parametrization/parameter.py", line 14, in <module>
from .data import Array as Array
File "/home/zhang-h/anaconda3/envs/nndetection/lib/python3.9/site-packages/nevergrad/parametrization/data.py", line 16, in <module>
BoundValue = tp.Optional[tp.Union[float, int, np.int, np.float, np.ndarray]]
File "/home/zhang-h/anaconda3/envs/nndetection/lib/python3.9/site-packages/numpy/__init__.py", line 324, in __getattr__
raise AttributeError(__former_attrs__[attr])
AttributeError: module 'numpy' has no attribute 'int'.
`np.int` was a deprecated alias for the builtin `int`. To avoid this error in existing code, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
I tried to downgrade numpy to 1.19.5, but also seems to have dependency issues.
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
contourpy 1.2.0 requires numpy<2.0,>=1.20, but you have numpy 1.19.5 which is incompatible.
matplotlib 3.8.2 requires numpy<2,>=1.21, but you have numpy 1.19.5 which is incompatible.
nibabel 5.2.0 requires numpy>=1.20, but you have numpy 1.19.5 which is incompatible.
pandas 2.1.4 requires numpy<2,>=1.22.4; python_version < "3.11", but you have numpy 1.19.5 which is incompatible.
scikit-image 0.22.0 requires numpy>=1.22, but you have numpy 1.19.5 which is incompatible.
scipy 1.11.4 requires numpy<1.28.0,>=1.21.6, but you have numpy 1.19.5 which is incompatible.
seaborn 0.13.1 requires numpy!=1.24.0,>=1.20, but you have numpy 1.19.5 which is incompatible.