lint changes

setup.py

@@ -297,6 +297,7 @@ def finalize_options(self):
         "libmklml_gnu.so",
         "libiomp5.so",
         "mimalloc.so",
+        "libonnxruntime.so*",
     ]
     dl_libs = ["libonnxruntime_providers_shared.so"]
     dl_libs.append(providers_cuda_or_rocm)
@@ -311,22 +312,31 @@ def finalize_options(self):
     libs.append(providers_cuda_or_rocm)
     libs.append(providers_tensorrt_or_migraphx)
     libs.append(providers_cann)
-    libs.append("libonnxruntime.so*")
     if nightly_build:
         libs.extend(["libonnxruntime_pywrapper.so"])
 elif platform.system() == "Darwin":
-    libs = ["onnxruntime_pybind11_state.so", "libdnnl.2.dylib", "mimalloc.so"]  # TODO add libmklml and libiomp5 later.
+    libs = [
+        "onnxruntime_pybind11_state.so",
+        "libdnnl.2.dylib",
+        "mimalloc.so",
+        "libonnxruntime.dylib*",
+    ]  # TODO add libmklml and libiomp5 later.
     # DNNL & TensorRT EPs are built as shared libs
     libs.extend(["libonnxruntime_providers_shared.dylib"])
     libs.extend(["libonnxruntime_providers_dnnl.dylib"])
     libs.extend(["libonnxruntime_providers_tensorrt.dylib"])
     libs.extend(["libonnxruntime_providers_cuda.dylib"])
     libs.extend(["libonnxruntime_providers_vitisai.dylib"])
-    libs.append("libonnxruntime.dylib*")
     if nightly_build:
         libs.extend(["libonnxruntime_pywrapper.dylib"])
 else:
-    libs = ["onnxruntime_pybind11_state.pyd", "dnnl.dll", "mklml.dll", "libiomp5md.dll", "onnxruntime.dll",]
+    libs = [
+        "onnxruntime_pybind11_state.pyd",
+        "dnnl.dll",
+        "mklml.dll",
+        "libiomp5md.dll",
+        "onnxruntime.dll",
+    ]
     # DNNL, TensorRT & OpenVINO EPs are built as shared libs
     libs.extend(["onnxruntime_providers_shared.dll"])
     libs.extend(["onnxruntime_providers_dnnl.dll"])

tools/ci_build/build.py

@@ -2591,7 +2591,13 @@ def main():
     if args.build_wheel or args.gen_doc or args.use_tvm or args.enable_training:
         args.enable_pybind = True
 
-    if args.build_csharp or args.build_nuget or args.build_java or args.build_nodejs or (args.enable_pybind and not args.enable_training):
+    if (
+        args.build_csharp
+        or args.build_nuget
+        or args.build_java
+        or args.build_nodejs
+        or (args.enable_pybind and not args.enable_training)
+    ):
         # If pyhon bindings are enabled, we embed the shared lib in the python package.
         # If training is enabled, we don't embed the shared lib in the python package since training requires
         # torch interop.