updated notebooks to use the new "main" setup

notebook.ipynb

@@ -71,16 +71,29 @@
       {
          "cell_type":"code",
          "source":[
-            "%cd ai-voice-cloning\n",
-            "import src.webui as mrq\n",
+            "%cd /content/ai-voice-cloning\n",
+            "\n",
+            "import os\n",
             "import sys\n",
+            "\n",
             "sys.argv = [\"\"]\n",
+            "sys.path.append('./src/')\n",
+            "\n",
+            "if 'TORTOISE_MODELS_DIR' not in os.environ:\n",
+            "\tos.environ['TORTOISE_MODELS_DIR'] = os.path.realpath(os.path.join(os.getcwd(), './models/tortoise/'))\n",
+            "\n",
+            "if 'TRANSFORMERS_CACHE' not in os.environ:\n",
+            "\tos.environ['TRANSFORMERS_CACHE'] = os.path.realpath(os.path.join(os.getcwd(), './models/transformers/'))\n",
+            "\n",
+            "from utils import *\n",
+            "from webui import *\n",
+            "\n",
+            "args = setup_args()\n",
             "\n",
-            "mrq.args = mrq.setup_args()\n",
-            "mrq.webui = mrq.setup_gradio()\n",
-            "mrq.webui.launch(share=True, prevent_thread_lock=True, height=1000)\n",
-            "mrq.tts = mrq.setup_tortoise()\n",
-            "mrq.webui.block_thread()"
+            "webui = setup_gradio()\n",
+            "tts = setup_tortoise()\n",
+            "webui.launch(share=True, prevent_thread_lock=True, height=1000)\n",
+            "webui.block_thread()"
          ],
          "metadata":{
             "id":"c_EQZLTA19c7"
@@ -102,6 +115,7 @@
       {
          "cell_type":"code",
          "source":[
+            "%cd /content/ai-voice-cloning\n",
             "!apt install -y p7zip-full\n",
             "from datetime import datetime\n",
             "timestamp = datetime.now().strftime('%m-%d-%Y_%H:%M:%S')\n",

src/train.py

@@ -1,35 +0,0 @@
-import torch
-import argparse
-
-from ..dlas.codes import *
-from ..dlas.codes.utils import util, options as option
-
-parser = argparse.ArgumentParser()
-parser.add_argument('-opt', type=str, help='Path to option YAML file.', default='../options/train_vit_latent.yml')
-parser.add_argument('--launcher', choices=['none', 'pytorch'], default='none', help='job launcher')
-args = parser.parse_args()
-opt = option.parse(args.opt, is_train=True)
-if args.launcher != 'none':
-    # export CUDA_VISIBLE_DEVICES for running in distributed mode.
-    if 'gpu_ids' in opt.keys():
-        gpu_list = ','.join(str(x) for x in opt['gpu_ids'])
-        os.environ['CUDA_VISIBLE_DEVICES'] = gpu_list
-        print('export CUDA_VISIBLE_DEVICES=' + gpu_list)
-trainer = Trainer()
-
-#### distributed training settings
-if args.launcher == 'none':  # disabled distributed training
-    opt['dist'] = False
-    trainer.rank = -1
-    if len(opt['gpu_ids']) == 1:
-        torch.cuda.set_device(opt['gpu_ids'][0])
-    print('Disabled distributed training.')
-else:
-    opt['dist'] = True
-    init_dist('nccl')
-    trainer.world_size = torch.distributed.get_world_size()
-    trainer.rank = torch.distributed.get_rank()
-    torch.cuda.set_device(torch.distributed.get_rank())
-
-trainer.init(args.opt, opt, args.launcher)
-trainer.do_training()

src/utils.py

@@ -450,7 +450,6 @@ def save_training_settings( batch_size=None, learning_rate=None, print_rate=None
 		yaml = f.read()
 
 	for k in settings:
-		print(f"${{{k}}} => {settings[k]}")
 		yaml = yaml.replace(f"${{{k}}}", str(settings[k]))
 	
 	with open(f'./training/{settings["name"]}.yaml', 'w', encoding="utf-8") as f:

train.ipynb

@@ -0,0 +1,69 @@
+{
+	"nbformat":4,
+	"nbformat_minor":0,
+	"metadata":{
+		"colab":{
+			"private_outputs":true,
+			"provenance":[
+				
+			]
+		},
+		"kernelspec":{
+			"name":"python3",
+			"display_name":"Python 3"
+		},
+		"language_info":{
+			"name":"python"
+		},
+		"accelerator":"GPU",
+		"gpuClass":"standard"
+	},
+	"cells":[
+		{
+			"cell_type":"code",
+			"execution_count":null,
+			"metadata":{
+				"id":"AaKpV3rCI3Eo"
+			},
+			"outputs":[
+				
+			],
+			"source":[
+				"!git clone https://git.ecker.tech/mrq/DL-Art-School\n",
+				"%cd DL-Art-School\n",
+				"!pip install -r requirements.txt"
+			]
+		},
+		{
+			"cell_type":"code",
+			"source":[
+				"from google.colab import drive\n",
+				"drive.mount('/content/drive')",
+				"%cd /content/DL-Art-School/\n",
+				"#!rm -r experiments\n",
+				"!ln -s /content/drive/MyDrive/experiments/\n",
+			],
+			"metadata":{
+				"id":"8eV92cjGI4XL"
+			},
+			"execution_count":null,
+			"outputs":[
+				
+			]
+		},
+		{
+			"cell_type":"code",
+			"source":[
+				"%cd /content/DL-Art-School/\n",
+				"!python ./codes/train.py -opt ./experiments/ar.yml"
+			],
+			"metadata":{
+				"id":"7lcRGqglX2FC"
+			},
+			"execution_count":null,
+			"outputs":[
+				
+			]
+		}
+	]
+}