Add: test code for CoreMLExecutionProvider on a trial basis

Currently ONNXRuntime's CoreML support is not very good, and on my environment, I get errors like “coreml_execution_provider.cc:192 operator() Input (/sdp/flows.3/GatherND_2_output_0) has a dynamic shape ({-1,-1}) but the runtime shape ({0,10}) has zero elements. This is not supported by the CoreML EP.” and inference fails.
I hope this will be fixed in a future version of ONNXRuntime, and leave the test code as it is.

style_bert_vits2/utils/__init__.py

@@ -5,10 +5,12 @@ def torch_device_to_onnx_providers(
     device: str,
 ) -> Sequence[Union[str, tuple[str, dict[str, Any]]]]:
     if device.startswith("cuda"):
-        # cudnn_conv_algo_search を DEFAULT にすると推論速度が大幅に向上する
-        # ref: https://medium.com/neuml/debug-onnx-gpu-performance-c9290fe07459
         return [
+            # cudnn_conv_algo_search を DEFAULT にすると推論速度が大幅に向上する
+            # ref: https://medium.com/neuml/debug-onnx-gpu-performance-c9290fe07459
             ("CUDAExecutionProvider", {"cudnn_conv_algo_search": "DEFAULT"}),
+            # CUDA が利用できない場合、可能であれば DirectML を利用する
+            ("DmlExecutionProvider", {"device_id": 0}),
             ("CPUExecutionProvider", {}),
         ]
     else: