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fixed training tracebacks and added Stop Training button

infer-web.py

@@ -3,6 +3,8 @@ import shutil
 import sys
 import json # Mangio fork using json for preset saving
 
+import signal
+
 now_dir = os.getcwd()
 sys.path.append(now_dir)
 import traceback, pdb
@@ -73,6 +75,8 @@ gpu_infos = []
 mem = []
 if_gpu_ok = False
 
+isinterrupted = 0
+
 if torch.cuda.is_available() or ngpu != 0:
     for i in range(ngpu):
         gpu_name = torch.cuda.get_device_name(i)
@@ -587,7 +591,7 @@ def change_choices():
 
 
 def clean():
-    return {"value": "", "__type__": "update"}
+    return ({"value": "", "__type__": "update"})
     
 
 sr_dict = {
@@ -1048,7 +1052,11 @@ def click_train(
             )
         )
     print(cmd)
+    global p
     p = Popen(cmd, shell=True, cwd=now_dir)
+    global PID
+    PID = p.pid
+
     p.wait()
     return "训练结束, 您可查看控制台训练日志或实验文件夹下的train.log"
 
@@ -1838,6 +1846,24 @@ def choveraudio():
     return ''
 
 
+def stoptraining(mim): 
+    if int(mim) == 1:
+        
+        with open("stop.txt", "w+") as tostops:
+
+            
+            tostops.writelines('stop')
+        #p.terminate()
+        #p.kill()
+        os.kill(PID, signal.SIGTERM)
+    else:
+        pass
+    
+    return (
+        {"visible": False, "__type__": "update"}, 
+        {"visible": True, "__type__": "update"},
+    )
+    
 #Default-GUI
 with gr.Blocks(theme='HaleyCH/HaleyCH_Theme') as app:
     gr.HTML("<h1> The Mangio-RVC-Fork 💻 </h1>")
@@ -2415,10 +2441,20 @@ with gr.Blocks(theme='HaleyCH/HaleyCH_Theme') as app:
                         value=gpus,
                         interactive=True,
                     )
-                    but3 = gr.Button(i18n("训练模型"), variant="primary")
+                    butstop = gr.Button(
+                            "Stop Training",
+                            variant='primary',
+                            visible=False,
+                    )
+                    but3 = gr.Button(i18n("训练模型"), variant="primary", visible=True)
+                    but3.click(fn=stoptraining, inputs=[gr.Number(value=0, visible=False)], outputs=[but3, butstop])
+                    butstop.click(fn=stoptraining, inputs=[gr.Number(value=1, visible=False)], outputs=[butstop, but3])
+                    
+                    
                     but4 = gr.Button(i18n("训练特征索引"), variant="primary")
                     #but5 = gr.Button(i18n("一键训练"), variant="primary")
                     info3 = gr.Textbox(label=i18n("输出信息"), value="", max_lines=10)
+                    
                     but3.click(
                         click_train,
                         [
@@ -2437,9 +2473,13 @@ with gr.Blocks(theme='HaleyCH/HaleyCH_Theme') as app:
                             if_save_every_weights18,
                             version19,
                         ],
-                        info3,
+                        [info3],
                     )
+                        
                     but4.click(train_index, [exp_dir1, version19], info3)
+                    
+                    
+                    
                     #but5.click(
                     #    train1key,
                     #    [
@@ -2464,7 +2504,7 @@ with gr.Blocks(theme='HaleyCH/HaleyCH_Theme') as app:
                     #    ],
                     #    info3,
                     #)
-
+                
         with gr.TabItem(i18n("ckpt处理")):
             with gr.Group():
                 gr.Markdown(value=i18n("模型融合, 可用于测试音色融合"))
@@ -2761,7 +2801,7 @@ with gr.Blocks(theme='HaleyCH/HaleyCH_Theme') as app:
             server_name="0.0.0.0",
             inbrowser=not config.noautoopen,
             server_port=config.listen_port,
-            quiet=True,
+            quiet=False,
         )
 
 #endregion
@@ -3695,4 +3735,4 @@ with gr.Blocks(theme='HaleyCH/HaleyCH_Theme') as app:
         )
 
 #endregion
-''' 
+''' 

train_nsf_sim_cache_sid_load_pretrain.py

@@ -568,7 +568,28 @@ def train_and_evaluate(
                     ),
                 )
             )
-
+    
+    with open("stop.txt", "r+") as tostop:
+        content = tostop.read()
+        if 'stop' in content:
+            logger.info("Stop Button was pressed. The program is closed.")
+            if hasattr(net_g, "module"):
+                ckpt = net_g.module.state_dict()
+            else:
+                ckpt = net_g.state_dict()
+            logger.info(
+                "saving final ckpt:%s"
+                % (
+                    savee(
+                        ckpt, hps.sample_rate, hps.if_f0, hps.name, epoch, hps.version, hps
+                    )
+                )
+            )
+            
+            tostop.truncate(0)
+            tostop.writelines("not")
+            os._exit(2333333)
+    
     if rank == 0:
         logger.info("====> Epoch: {} {}".format(epoch, epoch_recorder.record()))
     if epoch >= hps.total_epoch and rank == 0: