feat: YAML-driven torch op codegen with canonical naming and exposed semantic params

CMakeLists.txt

@@ -103,8 +103,23 @@ if(AUTO_DETECT_BACKENDS)
         )
 
         if(_torch_import_result EQUAL 0)
-            set(WITH_TORCH ON)
-            message(STATUS "Auto-detected PyTorch.")
+            # Cambricon's `torch_mlu` fork is pinned to an older ATen
+            # release whose `<op>_out` overloads do not match the
+            # `pytorch v2.4.0` schema we generate against (e.g.
+            # `all.dims_out` takes `int64_t dim`/`Dimname dim` instead of
+            # the `OptionalIntArrayRef dim` we emit).  Skip the auto-
+            # detection on cambricon so the generated torch backends do
+            # not poison the build.  Pass `-DWITH_TORCH=ON` explicitly to
+            # opt back in.
+            if(WITH_CAMBRICON)
+                message(STATUS
+                    "Skipping PyTorch auto-detection on Cambricon "
+                    "(`torch_mlu` ATen overloads incompatible with the "
+                    "codegen's v2.4.0 schema).")
+            else()
+                set(WITH_TORCH ON)
+                message(STATUS "Auto-detected PyTorch.")
+            endif()
         endif()
     endif()
 endif()

pyproject.toml

@@ -1,5 +1,5 @@
 [build-system]
-requires = ["scikit-build-core", "pybind11", "libclang"]
+requires = ["scikit-build-core", "pybind11", "libclang", "pyyaml", "clang-format"]
 build-backend = "scikit_build_core.build"
 
 [project]