Incorrect invalid device error introduced in #25956 #29107
Description
Describe the bug
#25956 introduced a new sklearn.utils._array_api._check_device_cpu function to test whether a tensor is on CPU. However, the implementation of the test, which is device not in {"cpu", None}, is incorrect -- the device will actually not be a string, but device(type='cpu'). Therefore, you should attempt to get the type attr, and use that if available.
Steps/Code to Reproduce
You can view a sample error here:
https://github.com/fastai/fastai/actions/runs/9232979440/job/25404873935
Expected Results
ValueError: Unsupported device for NumPy: device(type='cpu') should not be thrown.
Actual Results
File /opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/sklearn/utils/_array_api.py:308, in _check_device_cpu(device)
306 def _check_device_cpu(device): # noqa
307 if device not in {"cpu", None}:
--> 308 raise ValueError(f"Unsupported device for NumPy: {device!r}")
ValueError: Unsupported device for NumPy: device(type='cpu')
Versions
I've seen this on multiple Linux and Mac versions. My current Mac version:
System:
python: 3.11.8 (main, Feb 26 2024, 15:36:12) [Clang 14.0.6 ]
executable: /Users/jhoward/miniconda3/bin/python
machine: macOS-14.3.1-arm64-arm-64bit
Python dependencies:
sklearn: 1.4.2
pip: 23.3.1
setuptools: 68.2.2
numpy: 1.26.4
scipy: 1.13.0
Cython: None
pandas: 2.2.1
matplotlib: 3.8.4
joblib: 1.4.0
threadpoolctl: 2.2.0
Built with OpenMP: True
threadpoolctl info:
filepath: /Users/jhoward/miniconda3/lib/libopenblasp-r0.3.21.dylib
prefix: libopenblas
user_api: blas
internal_api: openblas
version: 0.3.21
num_threads: 8
threading_layer: pthreads
architecture: armv8
filepath: /Users/jhoward/miniconda3/lib/libomp.dylib
prefix: libomp
user_api: openmp
internal_api: openmp
version: None
num_threads: 8