Update config.py

config.py

@@ -16,56 +16,10 @@ def use_fp32_config():
         device_capability = torch.cuda.get_device_capability(device)[0]
         if device_capability >= 7:
             usefp16 = True
-            for config_file in ["32k.json", "40k.json", "48k.json"]:
-                with open(f"configs/{config_file}", "r") as d:
-                    data = json.load(d)
-
-                if "train" in data and "fp16_run" in data["train"]:
-                    data["train"]["fp16_run"] = True
-
-                with open(f"configs/{config_file}", "w") as d:
-                    json.dump(data, d, indent=4)
-
-                print(f"Set fp16_run to true in {config_file}")
-
-            with open(
-                "trainset_preprocess_pipeline_print.py", "r", encoding="utf-8"
-            ) as f:
-                strr = f.read()
-
-            strr = strr.replace("3.0", "3.7")
-
-            with open(
-                "trainset_preprocess_pipeline_print.py", "w", encoding="utf-8"
-            ) as f:
-                f.write(strr)
-        else:
-            for config_file in ["32k.json", "40k.json", "48k.json"]:
-                with open(f"configs/{config_file}", "r") as f:
-                    data = json.load(f)
-
-                if "train" in data and "fp16_run" in data["train"]:
-                    data["train"]["fp16_run"] = False
-
-                with open(f"configs/{config_file}", "w") as d:
-                    json.dump(data, d, indent=4)
-
-                print(f"Set fp16_run to false in {config_file}")
-
-            with open(
-                "trainset_preprocess_pipeline_print.py", "r", encoding="utf-8"
-            ) as f:
-                strr = f.read()
-
-            strr = strr.replace("3.7", "3.0")
-
-            with open(
-                "trainset_preprocess_pipeline_print.py", "w", encoding="utf-8"
-            ) as f:
-                f.write(strr)
+            
     else:
         print(
-            "CUDA is not available. Make sure you have an NVIDIA GPU and CUDA installed."
+            "CUDA is not available: Make sure you have an NVIDIA GPU and CUDA installed."
         )
     return (usefp16, device_capability)