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Don't hardcode the library path. Leave it to the dynamic loader.
Index: pytorch-1.13.1/torch/__init__.py
===================================================================
--- a/torch/__init__.py 2023-02-15 20:27:51.747853677 +0100
+++ b/torch/__init__.py 2023-02-15 20:28:23.506341918 +0100
@@ -169,14 +169,14 @@
lib_path = os.path.join(os.path.dirname(here), 'lib', lib_name)
try:
- ctypes.CDLL(lib_path, mode=ctypes.RTLD_GLOBAL)
+ ctypes.CDLL(lib_name, mode=ctypes.RTLD_GLOBAL)
except OSError as err:
# Can only happen of wheel with cublas as PYPI deps
# As PyTorch is not purelib, but nvidia-cublas-cu11 is
if 'libcublas.so.11' not in err.args[0]:
raise err
_preload_cuda_deps()
- ctypes.CDLL(lib_path, mode=ctypes.RTLD_GLOBAL)
+ ctypes.CDLL(lib_name, mode=ctypes.RTLD_GLOBAL)
if (USE_RTLD_GLOBAL_WITH_LIBTORCH or os.getenv('TORCH_USE_RTLD_GLOBAL')) and \
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