Update config.py

config.py

@@ -1,5 +1,4 @@
 import argparse
-import sys
 import torch
 from multiprocessing import cpu_count
 
@@ -11,38 +10,45 @@ class Config:
         self.gpu_name = None
         self.gpu_mem = None
         (
+            self.python_cmd,
+            self.listen_port,
             self.colab,
-            self.api,
-            self.unsupported
+            self.noparallel,
+            self.noautoopen,
+            self.api
         ) = self.arg_parse()
         self.x_pad, self.x_query, self.x_center, self.x_max = self.device_config()
 
     @staticmethod
     def arg_parse() -> tuple:
         parser = argparse.ArgumentParser()
+        parser.add_argument("--port", type=int, default=7865, help="Listen port")
+        parser.add_argument(
+            "--pycmd", type=str, default="python", help="Python command"
+        )
         parser.add_argument("--colab", action="store_true", help="Launch in colab")
+        parser.add_argument(
+            "--noparallel", action="store_true", help="Disable parallel processing"
+        )
+        parser.add_argument(
+            "--noautoopen",
+            action="store_true",
+            help="Do not open in browser automatically",
+        )
         parser.add_argument("--api", action="store_true", help="Launch with api")
-        parser.add_argument("--unsupported", action="store_true", help="Enable unsupported feature")
         cmd_opts = parser.parse_args()
 
+        cmd_opts.port = cmd_opts.port if 0 <= cmd_opts.port <= 65535 else 7865
+
         return (
+            cmd_opts.pycmd,
+            cmd_opts.port,
             cmd_opts.colab,
-            cmd_opts.api,
-            cmd_opts.unsupported
+            cmd_opts.noparallel,
+            cmd_opts.noautoopen,
+            cmd_opts.api
         )
 
-    # has_mps is only available in nightly pytorch (for now) and MasOS 12.3+.
-    # check `getattr` and try it for compatibility
-    @staticmethod
-    def has_mps() -> bool:
-        if not torch.backends.mps.is_available():
-            return False
-        try:
-            torch.zeros(1).to(torch.device("mps"))
-            return True
-        except Exception:
-            return False
-
     def device_config(self) -> tuple:
         if torch.cuda.is_available():
             i_device = int(self.device.split(":")[-1])
@@ -54,10 +60,11 @@ class Config:
                 or "1070" in self.gpu_name
                 or "1080" in self.gpu_name
             ):
-                print("INFO: Found GPU", self.gpu_name, ", force to fp32")
+                print("16 series/10 series graphics cards and P40 force single precision")
                 self.is_half = False
+
             else:
-                print("INFO: Found GPU", self.gpu_name)
+                self.gpu_name = None
             self.gpu_mem = int(
                 torch.cuda.get_device_properties(i_device).total_memory
                 / 1024
@@ -65,7 +72,7 @@ class Config:
                 / 1024
                 + 0.4
             )
-        elif self.has_mps():
+        elif torch.backends.mps.is_available():
             print("INFO: No supported Nvidia GPU found, use MPS instead")
             self.device = "mps"
             self.is_half = False