sloppy fix to actually kill children when using multi-GPU distributed training, set GPU training count based on what CUDA exposes automatically so I don't have to keep setting it to 2

src/utils.py

@@ -17,6 +17,7 @@ import urllib.request
 import signal
 import gc
 import subprocess
+import psutil
 import yaml
 
 import tqdm
@@ -556,7 +557,7 @@ class TrainingState():
 			self.spawn_process(config_path=config_path, gpus=gpus)
 
 	def spawn_process(self, config_path, gpus=1):
-		self.cmd = ['train.bat', config_path] if os.name == "nt" else ['bash', './train.sh', str(int(gpus)), config_path]
+		self.cmd = ['train.bat', config_path] if os.name == "nt" else ['./train.sh', str(int(gpus)), config_path]
 
 		print("Spawning process: ", " ".join(self.cmd))
 		self.process = subprocess.Popen(self.cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT, universal_newlines=True)
@@ -815,6 +816,9 @@ def run_training(config_path, verbose=False, gpus=1, keep_x_past_datasets=0, pro
 	training_state = TrainingState(config_path=config_path, keep_x_past_datasets=keep_x_past_datasets, gpus=gpus)
 
 	for line in iter(training_state.process.stdout.readline, ""):
+		if training_state.killed:
+			return
+
 		result, percent, message = training_state.parse( line=line, verbose=verbose, keep_x_past_datasets=keep_x_past_datasets, progress=progress )
 		print(f"[Training] [{datetime.now().isoformat()}] {line[:-1]}")
 		if result:
@@ -868,10 +872,22 @@ def stop_training():
 		return "No training in progress"
 	print("Killing training process...")
 	training_state.killed = True
+
+	children = []
+	# wrapped in a try/catch in case for some reason this fails outside of Linux
+	try:
+		children = [p.info for p in psutil.process_iter(attrs=['pid', 'name', 'cmdline']) if './src/train.py' in p.info['cmdline']]
+	except Exception as e:
+		pass
+
 	training_state.process.stdout.close()
-	#training_state.process.terminate()
-	training_state.process.send_signal(signal.SIGINT)
+	training_state.process.terminate()
+	training_state.process.kill()
 	return_code = training_state.process.wait()
+
+	for p in children:
+		os.kill( p['pid'], signal.SIGKILL )
+
 	training_state = None
 	print("Killed training process.")
 	return f"Training cancelled: {return_code}"

src/webui.py

@@ -16,6 +16,7 @@ from datetime import datetime
 
 import tortoise.api
 from tortoise.utils.audio import get_voice_dir, get_voices
+from tortoise.utils.device import get_device_count
 
 from utils import *
 
@@ -536,7 +537,7 @@ def setup_gradio():
 						
 						with gr.Row():
 							training_keep_x_past_datasets = gr.Slider(label="Keep X Previous States", minimum=0, maximum=8, value=0, step=1)
-							training_gpu_count = gr.Number(label="GPUs", value=1)
+							training_gpu_count = gr.Number(label="GPUs", value=get_device_count())
 						with gr.Row():
 							start_training_button = gr.Button(value="Train")
 							stop_training_button = gr.Button(value="Stop")