ramanathan831
commented
1 year ago As pointed out, this is a numpy version issue, will be fixed in the 5.0 release of TAO, which is a few weeks away
Closed liviolima80 closed 1 year ago
ramanathan831
commented
1 year ago As pointed out, this is a numpy version issue, will be fixed in the 5.0 release of TAO, which is a few weeks away
Good morning, I tried to run the tao-deploy notebook in order to create a TensorRT engine for PeopleNet model. When I try to run the section 7) I got the following error:
/usr/local/lib/python3.8/dist-packages/pycuda/compyte/dtypes.py:120: FutureWarning: In the future
sys.exit(main())
File "", line 12, in main
File "", line 196, in launch_job
File "", line 50, in get_modules
File "/usr/lib/python3.8/importlib/init.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "", line 1014, in _gcd_import
File "", line 991, in _find_and_load
File "", line 975, in _find_and_load_unlocked
File "", line 671, in _load_unlocked
File "", line 848, in exec_module
File "", line 219, in _call_with_frames_removed
File "</usr/local/lib/python3.8/dist-packages/nvidia_tao_deploy/cv/detectnet_v2/scripts/evaluate.py>", line 3, in
File "", line 26, in
File "</usr/local/lib/python3.8/dist-packages/nvidia_tao_deploy/cv/detectnet_v2/inferencer.py>", line 1, in
File "", line 50, in
File "</usr/local/lib/python3.8/dist-packages/nvidia_tao_deploy/inferencer/utils.py>", line 1, in
File "", line 15, in
File "/usr/local/lib/python3.8/dist-packages/pycuda/autoinit.py", line 7, in
from pycuda.tools import make_default_context
File "/usr/local/lib/python3.8/dist-packages/pycuda/tools.py", line 49, in
_fill_dtype_registry(respect_windows=True)
File "/usr/local/lib/python3.8/dist-packages/pycuda/compyte/dtypes.py", line 221, in _fill_dtype_registry
fill_registry_with_c_types(
File "/usr/local/lib/python3.8/dist-packages/pycuda/compyte/dtypes.py", line 120, in fill_registry_with_c_types
reg.get_or_register_dtype("bool", np.bool)
File "/usr/local/lib/python3.8/dist-packages/numpy/init.py", line 305, in getattr
raise AttributeError(__former_attrs_[attr])
AttributeError: module 'numpy' has no attribute 'bool'.
np.boolwill be defined as the corresponding NumPy scalar. reg.get_or_register_dtype("bool", np.bool) Traceback (most recent call last): File "/usr/local/bin/detectnet_v2", line 8, innp.boolwas a deprecated alias for the builtinbool. To avoid this error in existing code, useboolby itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool` here. 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#deprecationsAny suggestions?
Regards