Support pre released pytorch2.1.0 (#2865)

mmcv/ops/csrc/common/utils/spconv/tensorview/tensorview.h

@@ -319,8 +319,9 @@ struct ShapeBase : public SimpleVector<int, MaxDim> {
   TV_HOST_DEVICE_INLINE ShapeBase(std::initializer_list<int> shape)
       : SimpleVector<int, MaxDim>(shape) {}
 
-  template <typename scalar_t, template <class...> class Container>
-  ShapeBase(Container<scalar_t> shape) : SimpleVector<int, MaxDim>(shape) {}
+  // TODO: find out why this template can no be used on windows
+  // template <typename scalar_t, template <class...> class Container>
+  // ShapeBase(Container<scalar_t> shape) : SimpleVector<int, MaxDim>(shape) {}
   TV_HOST_DEVICE_INLINE ShapeBase(const ShapeBase<MaxDim> &shape)
       : SimpleVector<int, MaxDim>(shape) {}
   ShapeBase(const std::vector<int> &arr) : SimpleVector<int, MaxDim>(arr) {}

setup.py

@@ -201,13 +201,15 @@ def get_extensions():
         extra_compile_args = {'cxx': []}
 
         if platform.system() != 'Windows':
-            extra_compile_args['cxx'] = ['-std=c++14']
+            if parse_version(torch.__version__) <= parse_version('1.12.1'):
+                extra_compile_args['cxx'] = ['-std=c++14']
+            else:
+                extra_compile_args['cxx'] = ['-std=c++17']
         else:
-            # TODO: In Windows, C++17 is chosen to compile extensions in
-            # PyTorch2.0 , but a compile error will be reported.
-            # As a temporary solution, force the use of C++14.
-            if parse_version(torch.__version__) >= parse_version('2.0.0'):
+            if parse_version(torch.__version__) <= parse_version('1.12.1'):
                 extra_compile_args['cxx'] = ['/std:c++14']
+            else:
+                extra_compile_args['cxx'] = ['/std:c++17']
 
         include_dirs = []
         library_dirs = []
@@ -418,7 +420,10 @@ def get_mluops_version(file_path):
         # to compile those cpp files, so there is no need to add the
         # argument
         if 'nvcc' in extra_compile_args and platform.system() != 'Windows':
-            extra_compile_args['nvcc'] += ['-std=c++14']
+            if parse_version(torch.__version__) <= parse_version('1.12.1'):
+                extra_compile_args['nvcc'] += ['-std=c++14']
+            else:
+                extra_compile_args['nvcc'] += ['-std=c++17']
 
         ext_ops = extension(
             name=ext_name,