prompt: We are currently solving the following issue within our repository. Here is the issue text:
  --- BEGIN ISSUE ---
  [tensor] fix some unittests
  
  [tensor] fix some unittests
  
  [tensor] fix some unittests
  
  
  --- END ISSUE ---
  
  Below are some code segments, each from a relevant file. One or more of these files may contain bugs.
  --- BEGIN FILES ---
  Path: `op_builder/gptq.py`
  Content:
  ```
  1 import os
  2 import torch
  3 import re
  4 
  5 from .builder import Builder
  6 from .utils import append_nvcc_threads, get_cuda_cc_flag
  7 
  8 class GPTQBuilder(Builder):
  9 
  10     NAME = "cu_gptq"
  11     PREBUILT_IMPORT_PATH = "colossalai._C.cu_gptq"
  12 
  13     def __init__(self):
  14         super().__init__(name=GPTQBuilder.NAME,
  15         prebuilt_import_path=GPTQBuilder.PREBUILT_IMPORT_PATH)
  16 
  17 
  18     def include_dirs(self):
  19         ret = [self.csrc_abs_path("gptq"), self.get_cuda_home_include()]
  20         return ret
  21 
  22     def sources_files(self):
  23         ret = [
  24             self.csrc_abs_path(fname) for fname in [
  25                 'gptq/linear_gptq.cpp',
  26                 'gptq/column_remap.cu',
  27                 'gptq/cuda_buffers.cu',
  28                 'gptq/q4_matmul.cu',
  29                 'gptq/q4_matrix.cu'
  30             ]
  31         ]
  32         return ret
  33 
  34     def cxx_flags(self):
  35         return ['-O3'] + self.version_dependent_macros
  36 
  37     def nvcc_flags(self):
  38         extra_cuda_flags = ['-v',
  39             '-std=c++14', '-U__CUDA_NO_HALF_OPERATORS__', '-U__CUDA_NO_HALF_CONVERSIONS__',
  40             '-U__CUDA_NO_HALF2_OPERATORS__', '-DTHRUST_IGNORE_CUB_VERSION_CHECK', "-lcublas", "-std=c++17"
  41         ]
  42 
  43 
  44         for arch in torch.cuda.get_arch_list():
  45             res = re.search(r'sm_(\d+)', arch)
  46             if res:
  47                 arch_cap = res[1]
  48                 if int(arch_cap) >= 80:
  49                     extra_cuda_flags.extend(['-gencode', f'arch=compute_{arch_cap},code={arch}'])
  50 
  51         ret = ['-O3', '--use_fast_math'] + self.version_dependent_macros + extra_cuda_flags
  52         return append_nvcc_threads(ret)
  ```
  --- END FILES ---
  
  Please first localize the bug based on the issue statement, and then generate a patch according to the `git diff` format fenced by three backticks.
  
  Here is an example:
  
  ```diff
  diff --git a/examples/server_async.py b/examples/server_async.py
  --- a/examples/server_async.py
  +++ b/examples/server_async.py
  @@ -313,4 +313,4 @@
   
   
   if __name__ == "__main__":
  -    asyncio.run(run_async_server("."), debug=True)
  +    asyncio.run(run_async_server(), debug=True)
  diff --git a/examples/server_sync.py b/examples/server_sync.py
  --- a/examples/server_sync.py
  +++ b/examples/server_sync.py
  @@ -313,5 +313,5 @@
   
   
   if __name__ == "__main__":
  -    server = run_sync_server(".")
  +    server = run_sync_server()
       server.shutdown()
  
  ```
  
golden_diff: diff --git a/op_builder/gptq.py b/op_builder/gptq.py
  --- a/op_builder/gptq.py
  +++ b/op_builder/gptq.py
  @@ -1,19 +1,17 @@
  -import os
  -import torch
   import re
   
  +import torch
  +
   from .builder import Builder
  -from .utils import append_nvcc_threads, get_cuda_cc_flag
  +from .utils import append_nvcc_threads
   
  -class GPTQBuilder(Builder):
   
  +class GPTQBuilder(Builder):
       NAME = "cu_gptq"
       PREBUILT_IMPORT_PATH = "colossalai._C.cu_gptq"
   
       def __init__(self):
  -        super().__init__(name=GPTQBuilder.NAME,
  -        prebuilt_import_path=GPTQBuilder.PREBUILT_IMPORT_PATH)
  -
  +        super().__init__(name=GPTQBuilder.NAME, prebuilt_import_path=GPTQBuilder.PREBUILT_IMPORT_PATH)
   
       def include_dirs(self):
           ret = [self.csrc_abs_path("gptq"), self.get_cuda_home_include()]
  @@ -21,32 +19,38 @@
   
       def sources_files(self):
           ret = [
  -            self.csrc_abs_path(fname) for fname in [
  -                'gptq/linear_gptq.cpp',
  -                'gptq/column_remap.cu',
  -                'gptq/cuda_buffers.cu',
  -                'gptq/q4_matmul.cu',
  -                'gptq/q4_matrix.cu'
  +            self.csrc_abs_path(fname)
  +            for fname in [
  +                "gptq/linear_gptq.cpp",
  +                "gptq/column_remap.cu",
  +                "gptq/cuda_buffers.cu",
  +                "gptq/q4_matmul.cu",
  +                "gptq/q4_matrix.cu",
               ]
           ]
           return ret
   
       def cxx_flags(self):
  -        return ['-O3'] + self.version_dependent_macros
  +        return ["-O3"] + self.version_dependent_macros
   
       def nvcc_flags(self):
  -        extra_cuda_flags = ['-v',
  -            '-std=c++14', '-U__CUDA_NO_HALF_OPERATORS__', '-U__CUDA_NO_HALF_CONVERSIONS__',
  -            '-U__CUDA_NO_HALF2_OPERATORS__', '-DTHRUST_IGNORE_CUB_VERSION_CHECK', "-lcublas", "-std=c++17"
  +        extra_cuda_flags = [
  +            "-v",
  +            "-std=c++14",
  +            "-U__CUDA_NO_HALF_OPERATORS__",
  +            "-U__CUDA_NO_HALF_CONVERSIONS__",
  +            "-U__CUDA_NO_HALF2_OPERATORS__",
  +            "-DTHRUST_IGNORE_CUB_VERSION_CHECK",
  +            "-lcublas",
  +            "-std=c++17",
           ]
   
  -
           for arch in torch.cuda.get_arch_list():
  -            res = re.search(r'sm_(\d+)', arch)
  +            res = re.search(r"sm_(\d+)", arch)
               if res:
                   arch_cap = res[1]
                   if int(arch_cap) >= 80:
  -                    extra_cuda_flags.extend(['-gencode', f'arch=compute_{arch_cap},code={arch}'])
  +                    extra_cuda_flags.extend(["-gencode", f"arch=compute_{arch_cap},code={arch}"])
   
  -        ret = ['-O3', '--use_fast_math'] + self.version_dependent_macros + extra_cuda_flags
  -        return append_nvcc_threads(ret)
  \ No newline at end of file
  +        ret = ["-O3", "--use_fast_math"] + self.version_dependent_macros + extra_cuda_flags
  +        return append_nvcc_threads(ret)
  
verification_info: {"golden_diff": "diff --git a/op_builder/gptq.py b/op_builder/gptq.py\n--- a/op_builder/gptq.py\n+++ b/op_builder/gptq.py\n@@ -1,19 +1,17 @@\n-import os\n-import torch\n import re\n \n+import torch\n+\n from .builder import Builder\n-from .utils import append_nvcc_threads, get_cuda_cc_flag\n+from .utils import append_nvcc_threads\n \n-class GPTQBuilder(Builder):\n \n+class GPTQBuilder(Builder):\n     NAME = \"cu_gptq\"\n     PREBUILT_IMPORT_PATH = \"colossalai._C.cu_gptq\"\n \n     def __init__(self):\n-        super().__init__(name=GPTQBuilder.NAME,\n-        prebuilt_import_path=GPTQBuilder.PREBUILT_IMPORT_PATH)\n-\n+        super().__init__(name=GPTQBuilder.NAME, prebuilt_import_path=GPTQBuilder.PREBUILT_IMPORT_PATH)\n \n     def include_dirs(self):\n         ret = [self.csrc_abs_path(\"gptq\"), self.get_cuda_home_include()]\n@@ -21,32 +19,38 @@\n \n     def sources_files(self):\n         ret = [\n-            self.csrc_abs_path(fname) for fname in [\n-                'gptq/linear_gptq.cpp',\n-                'gptq/column_remap.cu',\n-                'gptq/cuda_buffers.cu',\n-                'gptq/q4_matmul.cu',\n-                'gptq/q4_matrix.cu'\n+            self.csrc_abs_path(fname)\n+            for fname in [\n+                \"gptq/linear_gptq.cpp\",\n+                \"gptq/column_remap.cu\",\n+                \"gptq/cuda_buffers.cu\",\n+                \"gptq/q4_matmul.cu\",\n+                \"gptq/q4_matrix.cu\",\n             ]\n         ]\n         return ret\n \n     def cxx_flags(self):\n-        return ['-O3'] + self.version_dependent_macros\n+        return [\"-O3\"] + self.version_dependent_macros\n \n     def nvcc_flags(self):\n-        extra_cuda_flags = ['-v',\n-            '-std=c++14', '-U__CUDA_NO_HALF_OPERATORS__', '-U__CUDA_NO_HALF_CONVERSIONS__',\n-            '-U__CUDA_NO_HALF2_OPERATORS__', '-DTHRUST_IGNORE_CUB_VERSION_CHECK', \"-lcublas\", \"-std=c++17\"\n+        extra_cuda_flags = [\n+            \"-v\",\n+            \"-std=c++14\",\n+            \"-U__CUDA_NO_HALF_OPERATORS__\",\n+            \"-U__CUDA_NO_HALF_CONVERSIONS__\",\n+            \"-U__CUDA_NO_HALF2_OPERATORS__\",\n+            \"-DTHRUST_IGNORE_CUB_VERSION_CHECK\",\n+            \"-lcublas\",\n+            \"-std=c++17\",\n         ]\n \n-\n         for arch in torch.cuda.get_arch_list():\n-            res = re.search(r'sm_(\\d+)', arch)\n+            res = re.search(r\"sm_(\\d+)\", arch)\n             if res:\n                 arch_cap = res[1]\n                 if int(arch_cap) >= 80:\n-                    extra_cuda_flags.extend(['-gencode', f'arch=compute_{arch_cap},code={arch}'])\n+                    extra_cuda_flags.extend([\"-gencode\", f\"arch=compute_{arch_cap},code={arch}\"])\n \n-        ret = ['-O3', '--use_fast_math'] + self.version_dependent_macros + extra_cuda_flags\n-        return append_nvcc_threads(ret)\n\\ No newline at end of file\n+        ret = [\"-O3\", \"--use_fast_math\"] + self.version_dependent_macros + extra_cuda_flags\n+        return append_nvcc_threads(ret)\n", "issue": "[tensor] fix some unittests\n\n[tensor] fix some unittests\n\n[tensor] fix some unittests\n\n", "before_files": [{"content": "import os\nimport torch\nimport re\n\nfrom .builder import Builder\nfrom .utils import append_nvcc_threads, get_cuda_cc_flag\n\nclass GPTQBuilder(Builder):\n\n    NAME = \"cu_gptq\"\n    PREBUILT_IMPORT_PATH = \"colossalai._C.cu_gptq\"\n\n    def __init__(self):\n        super().__init__(name=GPTQBuilder.NAME,\n        prebuilt_import_path=GPTQBuilder.PREBUILT_IMPORT_PATH)\n\n\n    def include_dirs(self):\n        ret = [self.csrc_abs_path(\"gptq\"), self.get_cuda_home_include()]\n        return ret\n\n    def sources_files(self):\n        ret = [\n            self.csrc_abs_path(fname) for fname in [\n                'gptq/linear_gptq.cpp',\n                'gptq/column_remap.cu',\n                'gptq/cuda_buffers.cu',\n                'gptq/q4_matmul.cu',\n                'gptq/q4_matrix.cu'\n            ]\n        ]\n        return ret\n\n    def cxx_flags(self):\n        return ['-O3'] + self.version_dependent_macros\n\n    def nvcc_flags(self):\n        extra_cuda_flags = ['-v',\n            '-std=c++14', '-U__CUDA_NO_HALF_OPERATORS__', '-U__CUDA_NO_HALF_CONVERSIONS__',\n            '-U__CUDA_NO_HALF2_OPERATORS__', '-DTHRUST_IGNORE_CUB_VERSION_CHECK', \"-lcublas\", \"-std=c++17\"\n        ]\n\n\n        for arch in torch.cuda.get_arch_list():\n            res = re.search(r'sm_(\\d+)', arch)\n            if res:\n                arch_cap = res[1]\n                if int(arch_cap) >= 80:\n                    extra_cuda_flags.extend(['-gencode', f'arch=compute_{arch_cap},code={arch}'])\n\n        ret = ['-O3', '--use_fast_math'] + self.version_dependent_macros + extra_cuda_flags\n        return append_nvcc_threads(ret)", "path": "op_builder/gptq.py"}], "after_files": [{"content": "import re\n\nimport torch\n\nfrom .builder import Builder\nfrom .utils import append_nvcc_threads\n\n\nclass GPTQBuilder(Builder):\n    NAME = \"cu_gptq\"\n    PREBUILT_IMPORT_PATH = \"colossalai._C.cu_gptq\"\n\n    def __init__(self):\n        super().__init__(name=GPTQBuilder.NAME, prebuilt_import_path=GPTQBuilder.PREBUILT_IMPORT_PATH)\n\n    def include_dirs(self):\n        ret = [self.csrc_abs_path(\"gptq\"), self.get_cuda_home_include()]\n        return ret\n\n    def sources_files(self):\n        ret = [\n            self.csrc_abs_path(fname)\n            for fname in [\n                \"gptq/linear_gptq.cpp\",\n                \"gptq/column_remap.cu\",\n                \"gptq/cuda_buffers.cu\",\n                \"gptq/q4_matmul.cu\",\n                \"gptq/q4_matrix.cu\",\n            ]\n        ]\n        return ret\n\n    def cxx_flags(self):\n        return [\"-O3\"] + self.version_dependent_macros\n\n    def nvcc_flags(self):\n        extra_cuda_flags = [\n            \"-v\",\n            \"-std=c++14\",\n            \"-U__CUDA_NO_HALF_OPERATORS__\",\n            \"-U__CUDA_NO_HALF_CONVERSIONS__\",\n            \"-U__CUDA_NO_HALF2_OPERATORS__\",\n            \"-DTHRUST_IGNORE_CUB_VERSION_CHECK\",\n            \"-lcublas\",\n            \"-std=c++17\",\n        ]\n\n        for arch in torch.cuda.get_arch_list():\n            res = re.search(r\"sm_(\\d+)\", arch)\n            if res:\n                arch_cap = res[1]\n                if int(arch_cap) >= 80:\n                    extra_cuda_flags.extend([\"-gencode\", f\"arch=compute_{arch_cap},code={arch}\"])\n\n        ret = [\"-O3\", \"--use_fast_math\"] + self.version_dependent_macros + extra_cuda_flags\n        return append_nvcc_threads(ret)\n", "path": "op_builder/gptq.py"}]}