code_public/lidar_rendu
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Supprimer le code mort (imports inutilisés, variable _xp, conseil GPU inatteignable)

Browse Source
This commit is contained in:
Antoine Jacquin
2026-09-18 21:31:19 +02:00
parent 7e2dcfe656
commit 796e68c870
7 changed files with 8 additions and 27 deletions
Download Patch File Download Diff File Expand all files Collapse all files

11
lidar_pipeline/gpu.py
View File

@ -80,7 +80,6 @@ except Exception:
# ---------------------------------------------------------------------------
# Lazy CuPy initialization — tries each GPU until one works
# ---------------------------------------------------------------------------
_xp = np
_cp = None
_cp_ndimage = None
_cupy_ndarray = None # type ref qui survit à disable_gpu() pour que to_cpu() récupère les tableaux orphelins
@ -154,7 +153,7 @@ def _init_gpu():
import CuPy directly (no subprocess test needed)
3. Otherwise: test each GPU in a subprocess, pick the first that works
"""
global _xp, _cp, _cp_ndimage, _cupy_ndarray, _gpu_initialized, HAS_GPU, _best_gpu_id, _gpu_name, _gpu_mem_gb
global _cp, _cp_ndimage, _cupy_ndarray, _gpu_initialized, HAS_GPU, _best_gpu_id, _gpu_name, _gpu_mem_gb
if _gpu_initialized:
return
_gpu_initialized = True
@ -165,7 +164,6 @@ def _init_gpu():
candidates = _filter_candidates(_runtime_candidates())
if not candidates:
logger.info("Pas de GPU utilisable — mode CPU uniquement")
_xp = np
_cp = None
_cp_ndimage = None
HAS_GPU = False
@ -191,14 +189,12 @@ def _init_gpu():
_gpu_name = name
_gpu_mem_gb = mem_mi // 1024
HAS_GPU = True
_xp = _real_cupy
_cp = _real_cupy
_cp_ndimage = _real_cupy_ndimage
_cupy_ndarray = _real_cupy.ndarray
return
except Exception as e:
logger.warning(f"GPU indisponible (CUDA_VISIBLE_DEVICES={cuda_visible}): {e}")
_xp = np
_cp = None
_cp_ndimage = None
HAS_GPU = False
@ -230,7 +226,6 @@ def _init_gpu():
if _working_gpu is None:
logger.info("Pas de GPU utilisable — mode CPU uniquement")
_xp = np
_cp = None
_cp_ndimage = None
HAS_GPU = False
@ -248,7 +243,6 @@ def _init_gpu():
_gpu_name = name
_gpu_mem_gb = mem_mi // 1024
HAS_GPU = True
_xp = _real_cupy
_cp = _real_cupy
_cp_ndimage = _real_cupy_ndimage
_cupy_ndarray = _real_cupy.ndarray
@ -444,13 +438,12 @@ def disable_gpu():
Libère le memory pool GPU avant de nuller les références (anti-fuite VRAM).
Garde _cupy_ndarray vivant pour que to_cpu() récupère les tableaux orphelins.
"""
global HAS_GPU, _xp, _cp, _cp_ndimage
global HAS_GPU, _cp, _cp_ndimage
if not HAS_GPU:
return
logger.warning("GPU désactivé — passage en mode CPU pour la suite du processus")
gpu_cleanup()
HAS_GPU = False
_xp = np
_cp = None
_cp_ndimage = None