Format code (#989)

Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>

MDXNet.py

@@ -83,12 +83,13 @@ def get_models(device, dim_f, dim_t, n_fft):
 
 warnings.filterwarnings("ignore")
 import sys
+
 now_dir = os.getcwd()
 sys.path.append(now_dir)
 from config import Config
 
 cpu = torch.device("cpu")
-device=Config().device
+device = Config().device
 # if torch.cuda.is_available():
 #     device = torch.device("cuda:0")
 # elif torch.backends.mps.is_available():
@@ -104,10 +105,15 @@ class Predictor:
             device=cpu, dim_f=args.dim_f, dim_t=args.dim_t, n_fft=args.n_fft
         )
         import onnxruntime as ort
+
         print(ort.get_available_providers())
         self.model = ort.InferenceSession(
             os.path.join(args.onnx, self.model_.target_name + ".onnx"),
-            providers=["CUDAExecutionProvider", "DmlExecutionProvider","CPUExecutionProvider"],
+            providers=[
+                "CUDAExecutionProvider",
+                "DmlExecutionProvider",
+                "CPUExecutionProvider",
+            ],
         )
         print("onnx load done")