From 9fc0ab415c564d278b673c694de9b884ea1121d2 Mon Sep 17 00:00:00 2001
From: Max Ryabinin <mryabinin0@gmail.com>
Date: Wed, 24 Aug 2022 18:43:18 +0300
Subject: Remove unused code

---
 bitsandbytes/cuda_setup/compute_capability.py | 79 ---------------------------
 1 file changed, 79 deletions(-)
 delete mode 100644 bitsandbytes/cuda_setup/compute_capability.py

(limited to 'bitsandbytes/cuda_setup/compute_capability.py')

diff --git a/bitsandbytes/cuda_setup/compute_capability.py b/bitsandbytes/cuda_setup/compute_capability.py
deleted file mode 100644
index 7a3f463..0000000
--- a/bitsandbytes/cuda_setup/compute_capability.py
+++ /dev/null
@@ -1,79 +0,0 @@
-import ctypes
-from dataclasses import dataclass, field
-
-
-@dataclass
-class CudaLibVals:
-    # code bits taken from
-    # https://gist.github.com/f0k/63a664160d016a491b2cbea15913d549
-
-    nGpus: ctypes.c_int = field(default=ctypes.c_int())
-    cc_major: ctypes.c_int = field(default=ctypes.c_int())
-    cc_minor: ctypes.c_int = field(default=ctypes.c_int())
-    device: ctypes.c_int = field(default=ctypes.c_int())
-    error_str: ctypes.c_char_p = field(default=ctypes.c_char_p())
-    cuda: ctypes.CDLL = field(init=False, repr=False)
-    ccs: List[str, ...] = field(init=False)
-
-    def _initialize_driver_API(self):
-        self.check_cuda_result(self.cuda.cuInit(0))
-
-    def _load_cuda_lib(self):
-        """
-        1. find libcuda.so library (GPU driver) (/usr/lib)
-           init_device -> init variables -> call function by reference
-        """
-        libnames = "libcuda.so"
-        for libname in libnames:
-            try:
-                self.cuda = ctypes.CDLL(libname)
-            except OSError:
-                continue
-            else:
-                break
-        else:
-            raise OSError("could not load any of: " + " ".join(libnames))
-
-    def call_cuda_func(self, function_obj, **kwargs):
-        CUDA_SUCCESS = 0  # constant taken from cuda.h
-        pass
-        # if (CUDA_SUCCESS := function_obj(
-
-    def _error_handle(cuda_lib_call_return_value):
-        """
-        2. call extern C function to determine CC
-           (see https://docs.nvidia.com/cuda/cuda-driver-api/group__CUDA__DEVICE__DEPRECATED.html)
-        """
-        CUDA_SUCCESS = 0  # constant taken from cuda.h
-
-        if cuda_lib_call_return_value != CUDA_SUCCESS:
-            self.cuda.cuGetErrorString(
-                cuda_lib_call_return_value,
-                ctypes.byref(self.error_str),
-            )
-            print("Count not initialize CUDA - failure!")
-            raise Exception("CUDA exception!")
-        return cuda_lib_call_return_value
-
-    def __post_init__(self):
-        self._load_cuda_lib()
-        self._initialize_driver_API()
-        self.check_cuda_result(
-            self.cuda, self.cuda.cuDeviceGetCount(ctypes.byref(self.nGpus))
-        )
-        tmp_ccs = []
-        for gpu_index in range(self.nGpus.value):
-            check_cuda_result(
-                self.cuda,
-                self.cuda.cuDeviceGet(ctypes.byref(self.device), gpu_index),
-            )
-            check_cuda_result(
-                self.cuda,
-                self.cuda.cuDeviceComputeCapability(
-                    ctypes.byref(self.cc_major),
-                    ctypes.byref(self.cc_minor),
-                    self.device,
-                ),
-            )
-            tmp_ccs.append(f"{self.cc_major.value}.{self.cc_minor.value}")
-        self.ccs = sorted(tmp_ccs, reverse=True)
-- 
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