From 45293e07a6acb207bf66d2bdb2040e5aa319bd2e Mon Sep 17 00:00:00 2001
From: kalomaze <66376113+kalomaze@users.noreply.github.com>
Date: Sat, 22 Jul 2023 22:26:40 -0500
Subject: [PATCH] Update it properly

---
 config.py | 63 ++++++++++++++++++++++++++++++++++++++-----------------
 1 file changed, 44 insertions(+), 19 deletions(-)

diff --git a/config.py b/config.py
index 8342fb8..a3365e9 100644
--- a/config.py
+++ b/config.py
@@ -1,37 +1,62 @@
 import argparse
 import sys
 import torch
+import json
 from multiprocessing import cpu_count
 
-global IsFp16Support
-IsFp16Support = False
+global usefp16
+usefp16 = False
 
 def use_fp32_config():
+    usefp16 = False
+    device_capability = 0
     if torch.cuda.is_available():
         device = torch.device("cuda:0")  # Assuming you have only one GPU (index 0).
-        if torch.cuda.get_device_capability(device)[0] >= 7:
-            print("Fp16 supported!")
-            IsFp16Support = True
+        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 f:
-                    strr = f.read().replace("false", "true")
-                    f.write(strr)
-            with open("trainset_preprocess_pipeline_print.py", "r+") as f:
-                strr = f.read().replace("3.0", "3.7")
+                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:
-            print("fp16 unavailable! Using 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")
-                    f.write(strr)
-            with open("trainset_preprocess_pipeline_print.py", "r+") as f:
-                strr = f.read().replace("3.7", "3.0")
+                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.")
-    return (IsFp16Support, torch.cuda.get_device_capability(device)[0])
-
+    return (usefp16, device_capability)
 
 class Config:
     def __init__(self):
@@ -114,7 +139,7 @@ class Config:
                 self.is_half = False
             else:
                 print("Found GPU", self.gpu_name)
-                print(use_fp32_config())
+                use_fp32_config()
             self.gpu_mem = int(
                 torch.cuda.get_device_properties(i_device).total_memory
                 / 1024