Cleanup config.py (#992)

* Update config.py

* miss

Author: Tps-F

config.py

@@ -1,3 +1,4 @@
+import os
 import argparse
 import sys
 import torch
@@ -35,11 +36,13 @@ def __init__(self):
             self.iscolab,
             self.noparallel,
             self.noautoopen,
+            self.dml
         ) = self.arg_parse()
-        self.instead=""
+        self.instead = ""
         self.x_pad, self.x_query, self.x_center, self.x_max = self.device_config()
 
-    def arg_parse(self) -> tuple:
+    @staticmethod
+    def arg_parse() -> tuple:
         exe = sys.executable or "python"
         parser = argparse.ArgumentParser()
         parser.add_argument("--port", type=int, default=7865, help="Listen port")
@@ -61,13 +64,14 @@ def arg_parse(self) -> tuple:
         cmd_opts = parser.parse_args()
 
         cmd_opts.port = cmd_opts.port if 0 <= cmd_opts.port <= 65535 else 7865
-        self.dml=cmd_opts.dml
+
         return (
             cmd_opts.pycmd,
             cmd_opts.port,
             cmd_opts.colab,
             cmd_opts.noparallel,
             cmd_opts.noautoopen,
+            cmd_opts.dml
         )
 
     # has_mps is only available in nightly pytorch (for now) and MasOS 12.3+.
@@ -112,12 +116,12 @@ def device_config(self) -> tuple:
                     f.write(strr)
         elif self.has_mps():
             print("No supported Nvidia GPU found")
-            self.device = self.instead="mps"
+            self.device = self.instead = "mps"
             self.is_half = False
             use_fp32_config()
         else:
             print("No supported Nvidia GPU found")
-            self.device = self.instead="cpu"
+            self.device = self.instead = "cpu"
             self.is_half = False
             use_fp32_config()
 
@@ -137,25 +141,34 @@ def device_config(self) -> tuple:
             x_center = 38
             x_max = 41
 
-        if self.gpu_mem != None and self.gpu_mem <= 4:
+        if self.gpu_mem is not None and self.gpu_mem <= 4:
             x_pad = 1
             x_query = 5
             x_center = 30
             x_max = 32
-        if(self.dml==True):
+        if self.dml:
             print("use DirectML instead")
-            try:os.rename("runtime\Lib\site-packages\onnxruntime","runtime\Lib\site-packages\onnxruntime-cuda")
-            except:pass
-            try:os.rename("runtime\Lib\site-packages\onnxruntime-dml","runtime\Lib\site-packages\onnxruntime")
-            except:pass
+            try:
+                os.rename("runtime\Lib\site-packages\onnxruntime","runtime\Lib\site-packages\onnxruntime-cuda")
+            except:
+                pass
+            try:
+                os.rename("runtime\Lib\site-packages\onnxruntime-dml","runtime\Lib\site-packages\onnxruntime")
+            except:
+
+                pass
             import torch_directml
-            self.device= torch_directml.device(torch_directml.default_device())
-            self.is_half=False
+            self.device = torch_directml.device(torch_directml.default_device())
+            self.is_half = False
         else:
-            if(self.instead):
-                print("use %s instead"%self.instead)
-            try:os.rename("runtime\Lib\site-packages\onnxruntime","runtime\Lib\site-packages\onnxruntime-cuda")
-            except:pass
-            try:os.rename("runtime\Lib\site-packages\onnxruntime-dml","runtime\Lib\site-packages\onnxruntime")
-            except:pass
+            if self.instead:
+                print(f"use {self.instead} instead")
+            try:
+                os.rename("runtime\Lib\site-packages\onnxruntime","runtime\Lib\site-packages\onnxruntime-cuda")
+            except:
+                pass
+            try:
+                os.rename("runtime\Lib\site-packages\onnxruntime-dml","runtime\Lib\site-packages\onnxruntime")
+            except:
+                pass
         return x_pad, x_query, x_center, x_max