fix: config

config.py

@@ -2,19 +2,6 @@ import argparse
 import torch
 from multiprocessing import cpu_count
 
-
-def config_file_change_fp32():
-    for config_file in ["32k.json", "40k.json", "48k.json"]:
-        with open(f"configs/{config_file}", "r") as f:
-            strr = f.read().replace("true", "false")
-        with open(f"configs/{config_file}", "w") as f:
-            f.write(strr)
-    with open("trainset_preprocess_pipeline_print.py", "r") as f:
-        strr = f.read().replace("3.7", "3.0")
-    with open("trainset_preprocess_pipeline_print.py", "w") as f:
-        f.write(strr)
-
-
 class Config:
     def __init__(self):
         self.device = "cuda:0"
@@ -75,7 +62,6 @@ class Config:
             ):
                 print("16系/10系显卡和P40强制单精度")
                 self.is_half = False
-                config_file_change_fp32()
             else:
                 self.gpu_name = None
             self.gpu_mem = int(
@@ -86,20 +72,15 @@ class Config:
                 + 0.4
             )
             if self.gpu_mem <= 4:
-                with open("trainset_preprocess_pipeline_print.py", "r") as f:
-                    strr = f.read().replace("3.7", "3.0")
-                with open("trainset_preprocess_pipeline_print.py", "w") as f:
-                    f.write(strr)
+                nope = None
         elif torch.backends.mps.is_available():
             print("没有发现支持的N卡, 使用MPS进行推理")
             self.device = "mps"
             self.is_half = False
-            config_file_change_fp32()
         else:
             print("没有发现支持的N卡, 使用CPU进行推理")
             self.device = "cpu"
             self.is_half = False
-            config_file_change_fp32()
 
         if self.n_cpu == 0:
             self.n_cpu = cpu_count()