{"nbformat":4,"nbformat_minor":0,"metadata":{"accelerator":"GPU","colab":{"name":"hhhh.ipynb","provenance":[],"collapsed_sections":[]},"kernelspec":{"display_name":"Python 3","name":"python3"}},"cells":[{"cell_type":"code","metadata":{"id":"8qEqdj8u0gdN","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1659796105720,"user_tz":-180,"elapsed":12,"user":{"displayName":"Ivan Ivanov","userId":"14212634423080719601"}},"outputId":"178ab62d-db65-4cd2-c1b2-fa8a0ce9491c"},"source":["!nvidia-smi -L\n","import psutil\n","print(psutil.virtual_memory())\n","\n","lemodel = 'slon'\n","leartist = 'unknown'\n","legenre = 'unknown'\n","leeventlog = False"],"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["GPU 0: Tesla T4 (UUID: GPU-1d6551b6-262e-815d-1255-6b5128ef486c)\n","svmem(total=13617745920, available=12766134272, percent=6.3, used=600608768, free=10925678592, active=975699968, inactive=1472458752, buffers=115712000, cached=1975746560, shared=1241088, slab=136245248)\n"]}]},{"cell_type":"code","metadata":{"id":"ZPdMgaH_BPGN","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1659796129619,"user_tz":-180,"elapsed":23904,"user":{"displayName":"Ivan Ivanov","userId":"14212634423080719601"}},"outputId":"e6033314-c5e3-4631-d475-0559c6a086a5"},"source":[" from google.colab import drive\n","drive.mount('/content/gdrive')"],"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Mounted at /content/gdrive\n"]}]},{"cell_type":"markdown","metadata":{"id":"UXXsstiqTSxI"},"source":["๐Ÿ’ฎ Setup ๐Ÿ’ฎ"]},{"cell_type":"code","metadata":{"id":"e1jVq3CbTSxI","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1659796210286,"user_tz":-180,"elapsed":80676,"user":{"displayName":"Ivan Ivanov","userId":"14212634423080719601"}},"outputId":"48a15649-5605-47bf-b624-24e83ba0f636"},"source":["!pip install git+https://github.com/openai/jukebox.git\n","!git clone https://github.com/openai/jukebox.git\n","!pip install av==8.1.0\n","!pip install tensorboardX \n","import os\n","\n","lemodelpath = '/content/gdrive/MyDrive/juke/' + lemodel + '_prior/checkpoint_latest.pth.tar'\n","leaudio_files_dir = '/content/gdrive/MyDrive/' + lemodel\n","lepriorname = lemodel + '_prior'\n","\n","print(lemodelpath,leaudio_files_dir,lepriorname,os.path.isfile(lemodelpath))\n","\n","############### To Change to Google Drive\n","\n","fin = open(\"/usr/local/lib/python3.7/dist-packages/jukebox/utils/logger.py\", \"rt\")\n","data = fin.read()\n","data = data.replace('logdir = f\"{hps.local_logdir}/{hps.name}\"', 'logdir = f\"/content/gdrive/MyDrive/juke/{hps.name}\"')\n","fin.close()\n","fin = open(\"/usr/local/lib/python3.7/dist-packages/jukebox/utils/logger.py\", \"wt\")\n","fin.write(data)\n","fin.close()\n","\n","############### To Sample with Google Drive\n","\n","fin = open(\"/usr/local/lib/python3.7/dist-packages/jukebox/hparams.py\", \"rt\")\n","data = fin.read()\n","fin.close()\n","\n","data += lemodel + \"\"\"_prior = Hyperparams() \n","\"\"\" + lemodel + \"\"\"_prior.update(prior_1b_lyrics)\n","\"\"\" + lemodel + \"\"\"_prior.restore_prior='\"\"\" + lemodelpath + \"\"\"'\n","\"\"\" + lemodel + \"\"\"_prior.level=2\n","HPARAMS_REGISTRY['\"\"\" + lemodel + \"\"\"_prior'] = \"\"\" + lemodel + \"\"\"_prior\n","\"\"\"\n","\n","#data = data.replace('y_bins=(10,100)','y_bins=(604, 7898)')\n","data = data.replace('min_duration=60.0','min_duration=24.0')\n","#data = data.replace('max_duration=600.0','max_duration=666.0')\n","\n","fin = open(\"/usr/local/lib/python3.7/dist-packages/jukebox/hparams.py\", \"wt\")\n","fin.write(data)\n","fin.close()\n","\n","####################### To get Artist Genre, Lyrics \n","\n","fin = open(\"/usr/local/lib/python3.7/dist-packages/jukebox/data/files_dataset.py\", \"rt\")\n","data = fin.read()\n","fin.close()\n","\n","data = data.replace('def get_metadata(self, filename, test):','''def get_metadata(self, filename, test):\n"," lyr = \"\"\n"," letx = filename.replace('.wav','.txt').replace('.mp3','.txt')\n"," print(letx)\n"," if os.path.isfile(letx):\n"," fin = open(letx, \"rt\")\n"," lyr = fin.read()\n"," print('yes')\n"," fin.close''')\n","\n","data = data.replace('return None, None, None',\"return '\" + leartist + \"', '\" + legenre + \"', lyr\")\n","data = data.replace('import librosa', '''import librosa\n","import os''')\n","\n","\n","fin = open(\"/usr/local/lib/python3.7/dist-packages/jukebox/data/files_dataset.py\", \"wt\")\n","fin.write(data)\n","fin.close()\n","\n","####################### step print\n","\n","fin = open(\"/content/jukebox/jukebox/train.py\", \"rt\")\n","data = fin.read()\n","fin.close()\n","\n","data = data.replace('log_inputs(orig_model, logger, x_in, y, x_out, hps)','log_inputs(orig_model, logger, x_in, y, x_out, hps);print(colored(\"steps:\" + str(logger.iters),\"magenta\"))')\n","data = \"\"\"from termcolor import colored\n","\n","\"\"\" + data\n","\n","if leeventlog == False:\n"," data = data.replace('logger.flush()','#logger.flush()')\n"," \n","fin = open(\"/content/jukebox/jukebox/train.py\", \"wt\")\n","fin.write(data)\n","fin.close()\n","\n","\n","fin = open(\"/usr/local/lib/python3.7/dist-packages/jukebox/make_models.py\", \"rt\")\n","data = fin.read(); fin.close() \n","\n","data = data.replace(\"dist.barrier()\",\"dist.barrier(); print('1')\")\n","#data = data.replace(\"checkpoint = t.load(restore, map_location=t.device('cpu'))\",\"checkpoint = t.load(restore, map_location=t.device('cuda')); print('2')\")\n","data = data.replace(\".format(restore))\",\".format(restore)); print(3); import gc; gc.collect()\")\n","\n","fin = open(\"/usr/local/lib/python3.7/dist-packages/jukebox/make_models.py\", \"wt\")\n","fin.write(data); fin.close() \n"],"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n","Collecting git+https://github.com/openai/jukebox.git\n"," Cloning https://github.com/openai/jukebox.git to /tmp/pip-req-build-h_njyndg\n"," Running command git clone -q https://github.com/openai/jukebox.git /tmp/pip-req-build-h_njyndg\n","Collecting fire==0.1.3\n"," Downloading fire-0.1.3.tar.gz (33 kB)\n","Collecting tqdm==4.45.0\n"," Downloading tqdm-4.45.0-py2.py3-none-any.whl (60 kB)\n","\u001b[K |โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 60 kB 8.0 MB/s \n","\u001b[?25hRequirement already satisfied: soundfile==0.10.3.post1 in /usr/local/lib/python3.7/dist-packages (from jukebox==1.0) (0.10.3.post1)\n","Collecting unidecode==1.1.1\n"," Downloading Unidecode-1.1.1-py2.py3-none-any.whl (238 kB)\n","\u001b[K |โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 238 kB 2.5 MB/s \n","\u001b[?25hCollecting numba==0.48.0\n"," Downloading numba-0.48.0-1-cp37-cp37m-manylinux2014_x86_64.whl (3.5 MB)\n","\u001b[K |โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 3.5 MB 45.9 MB/s \n","\u001b[?25hCollecting librosa==0.7.2\n"," Downloading librosa-0.7.2.tar.gz (1.6 MB)\n","\u001b[K |โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 1.6 MB 55.6 MB/s \n","\u001b[?25hCollecting mpi4py>=3.0.0\n"," Downloading mpi4py-3.1.3.tar.gz (2.5 MB)\n","\u001b[K |โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 2.5 MB 10.3 MB/s \n","\u001b[?25h Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n"," Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n"," Preparing wheel metadata ... \u001b[?25l\u001b[?25hdone\n","Requirement already satisfied: six in /usr/local/lib/python3.7/dist-packages (from fire==0.1.3->jukebox==1.0) (1.15.0)\n","Requirement already satisfied: audioread>=2.0.0 in /usr/local/lib/python3.7/dist-packages (from librosa==0.7.2->jukebox==1.0) (2.1.9)\n","Requirement already satisfied: numpy>=1.15.0 in /usr/local/lib/python3.7/dist-packages (from librosa==0.7.2->jukebox==1.0) (1.21.6)\n","Requirement already satisfied: scipy>=1.0.0 in /usr/local/lib/python3.7/dist-packages (from librosa==0.7.2->jukebox==1.0) (1.7.3)\n","Requirement already satisfied: scikit-learn!=0.19.0,>=0.14.0 in /usr/local/lib/python3.7/dist-packages (from librosa==0.7.2->jukebox==1.0) (1.0.2)\n","Requirement already satisfied: joblib>=0.12 in /usr/local/lib/python3.7/dist-packages (from librosa==0.7.2->jukebox==1.0) (1.1.0)\n","Requirement already satisfied: decorator>=3.0.0 in /usr/local/lib/python3.7/dist-packages (from librosa==0.7.2->jukebox==1.0) (4.4.2)\n","Requirement already satisfied: resampy>=0.2.2 in /usr/local/lib/python3.7/dist-packages (from librosa==0.7.2->jukebox==1.0) (0.3.1)\n","Collecting llvmlite<0.32.0,>=0.31.0dev0\n"," Downloading llvmlite-0.31.0-cp37-cp37m-manylinux1_x86_64.whl (20.2 MB)\n","\u001b[K |โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 20.2 MB 1.2 MB/s \n","\u001b[?25hRequirement already satisfied: setuptools in /usr/local/lib/python3.7/dist-packages (from numba==0.48.0->jukebox==1.0) (57.4.0)\n","Requirement already satisfied: cffi>=1.0 in /usr/local/lib/python3.7/dist-packages (from soundfile==0.10.3.post1->jukebox==1.0) (1.15.1)\n","Requirement already satisfied: pycparser in /usr/local/lib/python3.7/dist-packages (from cffi>=1.0->soundfile==0.10.3.post1->jukebox==1.0) (2.21)\n","Requirement already satisfied: threadpoolctl>=2.0.0 in /usr/local/lib/python3.7/dist-packages (from scikit-learn!=0.19.0,>=0.14.0->librosa==0.7.2->jukebox==1.0) (3.1.0)\n","Building wheels for collected packages: jukebox, fire, librosa, mpi4py\n"," Building wheel for jukebox (setup.py) ... \u001b[?25l\u001b[?25hdone\n"," Created wheel for jukebox: filename=jukebox-1.0-py3-none-any.whl size=197916 sha256=a4b63eeb069c2a8404e81d288f7083cc035f56ab8a00f4eef04a4b2240840813\n"," Stored in directory: /tmp/pip-ephem-wheel-cache-ehxjqqzn/wheels/d6/42/39/91f8a32505a445499702ae0f887769e6bb5030c42382d74ae0\n"," Building wheel for fire (setup.py) ... \u001b[?25l\u001b[?25hdone\n"," Created wheel for fire: filename=fire-0.1.3-py2.py3-none-any.whl size=49719 sha256=19f25e55721603f0bfe989fa8a24048180c9cf309837d070c45026bfc357ef01\n"," Stored in directory: /root/.cache/pip/wheels/dd/c5/df/d9bf8223023d31343b65f1cc57d2dc005610ebbcd2b4a5d1e7\n"," Building wheel for librosa (setup.py) ... \u001b[?25l\u001b[?25hdone\n"," Created wheel for librosa: filename=librosa-0.7.2-py3-none-any.whl size=1612902 sha256=ee1070d1c7a79eb748ec8445304db62ca4a9ed11094d07d544333736259bffa5\n"," Stored in directory: /root/.cache/pip/wheels/18/9e/42/3224f85730f92fa2925f0b4fb6ef7f9c5431a64dfc77b95b39\n"," Building wheel for mpi4py (PEP 517) ... \u001b[?25l\u001b[?25hdone\n"," Created wheel for mpi4py: filename=mpi4py-3.1.3-cp37-cp37m-linux_x86_64.whl size=2185270 sha256=605539953018e4e3312369ede372145d3ae621232b86e2e09b5cfd4b45ae7d19\n"," Stored in directory: /root/.cache/pip/wheels/7a/07/14/6a0c63fa2c6e473c6edc40985b7d89f05c61ff25ee7f0ad9ac\n","Successfully built jukebox fire librosa mpi4py\n","Installing collected packages: llvmlite, numba, unidecode, tqdm, mpi4py, librosa, fire, jukebox\n"," Attempting uninstall: llvmlite\n"," Found existing installation: llvmlite 0.39.0\n"," Uninstalling llvmlite-0.39.0:\n"," Successfully uninstalled llvmlite-0.39.0\n"," Attempting uninstall: numba\n"," Found existing installation: numba 0.56.0\n"," Uninstalling numba-0.56.0:\n"," Successfully uninstalled numba-0.56.0\n"," Attempting uninstall: tqdm\n"," Found existing installation: tqdm 4.64.0\n"," Uninstalling tqdm-4.64.0:\n"," Successfully uninstalled tqdm-4.64.0\n"," Attempting uninstall: librosa\n"," Found existing installation: librosa 0.8.1\n"," Uninstalling librosa-0.8.1:\n"," Successfully uninstalled librosa-0.8.1\n","\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n","panel 0.12.1 requires tqdm>=4.48.0, but you have tqdm 4.45.0 which is incompatible.\u001b[0m\n","Successfully installed fire-0.1.3 jukebox-1.0 librosa-0.7.2 llvmlite-0.31.0 mpi4py-3.1.3 numba-0.48.0 tqdm-4.45.0 unidecode-1.1.1\n","Cloning into 'jukebox'...\n","remote: Enumerating objects: 932, done.\u001b[K\n","remote: Total 932 (delta 0), reused 0 (delta 0), pack-reused 932\u001b[K\n","Receiving objects: 100% (932/932), 2.75 MiB | 2.89 MiB/s, done.\n","Resolving deltas: 100% (456/456), done.\n","Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n","Collecting av==8.1.0\n"," Downloading av-8.1.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (36.1 MB)\n","\u001b[K |โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 36.1 MB 372 kB/s \n","\u001b[?25hInstalling collected packages: av\n","Successfully installed av-8.1.0\n","Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n","Collecting tensorboardX\n"," Downloading tensorboardX-2.5.1-py2.py3-none-any.whl (125 kB)\n","\u001b[K |โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 125 kB 35.7 MB/s \n","\u001b[?25hRequirement already satisfied: protobuf<=3.20.1,>=3.8.0 in /usr/local/lib/python3.7/dist-packages (from tensorboardX) (3.17.3)\n","Requirement already satisfied: numpy in /usr/local/lib/python3.7/dist-packages (from tensorboardX) (1.21.6)\n","Requirement already satisfied: six>=1.9 in /usr/local/lib/python3.7/dist-packages (from protobuf<=3.20.1,>=3.8.0->tensorboardX) (1.15.0)\n","Installing collected packages: tensorboardX\n","Successfully installed tensorboardX-2.5.1\n","/content/gdrive/MyDrive/juke/slon_prior/checkpoint_latest.pth.tar /content/gdrive/MyDrive/slon slon_prior False\n"]}]},{"cell_type":"markdown","metadata":{"id":"NX0gpk1ITSys"},"source":["## Prior\n"]},{"cell_type":"code","metadata":{"id":"tCu02U-OTSys","colab":{"base_uri":"https://localhost:8080/"},"outputId":"4e3578b6-c668-4724-9605-a959bccf31c2"},"source":["import gc; gc.collect()\n","\n","lehps = ('vqvae,prior_1b_lyrics,all_fp16,cpu_ema','vqvae,prior_1b_lyrics,'+lepriorname+',all_fp16,cpu_ema')[os.path.isfile(lemodelpath)]\n","print((\"new training model\",lepriorname + \" model found\")[os.path.isfile(lemodelpath)])\n","\n","!python jukebox/jukebox/train.py \\\n","--prior --test --train --aug_shift --aug_blend \\\n","--hps=$lehps \\\n","--save_iters=238 \\\n","--levels=3 \\\n","--level=2 \\\n","--name=$lepriorname \\\n","--sample_length=786432 \\\n","--bs=1 \\\n","--audio_files_dir=$leaudio_files_dir \\\n","--weight_decay=0.01\n","\n"],"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\u001b[1;30;43mะ’ั‹ั…ะพะดะฝั‹ะต ะดะฐะฝะฝั‹ะต ะฑั‹ะปะธ ะพะฑั€ะตะทะฐะฝั‹ ะดะพ ะฝะตัะบะพะปัŒะบะธั… ะฟะพัะปะตะดะฝะธั… ัั‚ั€ะพะบ (5000).\u001b[0m\n"," 69% 4215/6144 [04:19<01:38, 19.57it/s]\u001b[A\n"," 69% 4218/6144 [04:19<01:37, 19.80it/s]\u001b[A\n"," 69% 4220/6144 [04:19<01:37, 19.83it/s]\u001b[A\n"," 69% 4222/6144 [04:19<01:37, 19.68it/s]\u001b[A\n"," 69% 4225/6144 [04:19<01:38, 19.55it/s]\u001b[A\n"," 69% 4227/6144 [04:19<01:38, 19.45it/s]\u001b[A\n"," 69% 4230/6144 [04:19<01:37, 19.69it/s]\u001b[A\n"," 69% 4232/6144 [04:20<01:38, 19.35it/s]\u001b[A\n"," 69% 4235/6144 [04:20<01:37, 19.64it/s]\u001b[A\n"," 69% 4238/6144 [04:20<01:37, 19.60it/s]\u001b[A\n"," 69% 4240/6144 [04:20<01:36, 19.68it/s]\u001b[A\n"," 69% 4242/6144 [04:20<01:36, 19.75it/s]\u001b[A\n"," 69% 4244/6144 [04:20<01:38, 19.28it/s]\u001b[A\n"," 69% 4246/6144 [04:20<01:38, 19.18it/s]\u001b[A\n"," 69% 4249/6144 [04:20<01:37, 19.47it/s]\u001b[A\n"," 69% 4251/6144 [04:21<01:38, 19.23it/s]\u001b[A\n"," 69% 4253/6144 [04:21<01:37, 19.44it/s]\u001b[A\n"," 69% 4256/6144 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[06:06<00:01, 14.49it/s]\u001b[A\n","100% 6124/6144 [06:06<00:01, 14.32it/s]\u001b[A\n","100% 6126/6144 [06:06<00:01, 14.50it/s]\u001b[A\n","100% 6128/6144 [06:06<00:01, 14.95it/s]\u001b[A\n","100% 6130/6144 [06:06<00:00, 15.82it/s]\u001b[A\n","100% 6132/6144 [06:06<00:00, 16.77it/s]\u001b[A\n","100% 6134/6144 [06:06<00:00, 17.45it/s]\u001b[A\n","100% 6136/6144 [06:06<00:00, 17.72it/s]\u001b[A\n","100% 6138/6144 [06:06<00:00, 18.21it/s]\u001b[A\n","100% 6140/6144 [06:07<00:00, 18.57it/s]\u001b[A\n","100% 6142/6144 [06:07<00:00, 18.83it/s]\u001b[A\n","100% 6144/6144 [06:07<00:00, 16.73it/s]\n","Logging train inputs/ouputs\n","\u001b[35msteps:1\u001b[0m\n"," 1% 1/78 [07:06<9:07:09, 426.35s/it, bpd=5.3, g_l=5.3, gn=2.92, l=4.99, p_l=0.0227]/content/gdrive/MyDrive/slon/slon (20).txt\n"," 3% 2/78 [07:11<6:20:02, 300.04s/it, bpd=5.32, g_l=5.32, gn=3.02, l=5.01, p_l=0.0226]/content/gdrive/MyDrive/slon/slon (28).txt\n"," 4% 3/78 [07:16<4:24:25, 211.55s/it, bpd=6.39, g_l=6.39, gn=2.72, l=6.02, p_l=0.0225]/content/gdrive/MyDrive/slon/slon (28).txt\n"," 5% 4/78 [07:21<3:04:30, 149.60s/it, bpd=4.44, g_l=4.44, gn=2.31, l=4.18, p_l=0.0221]/content/gdrive/MyDrive/slon/slon (4).txt\n"," 6% 5/78 [07:26<2:09:15, 106.24s/it, bpd=3.69, g_l=3.69, gn=2.22, l=3.47, p_l=0.0214]/content/gdrive/MyDrive/slon/slon (13).txt\n"," 8% 6/78 [07:31<1:31:05, 75.91s/it, bpd=3.62, g_l=3.62, gn=2.18, l=3.41, p_l=0.0203] /content/gdrive/MyDrive/slon/slon (4).txt\n"," 9% 7/78 [07:37<1:04:42, 54.69s/it, bpd=4.71, g_l=4.71, gn=2.14, l=4.43, p_l=0.0191]/content/gdrive/MyDrive/slon/slon (16).txt\n"," 10% 8/78 [07:42<46:28, 39.84s/it, bpd=6.35, g_l=6.35, gn=2.28, l=5.98, p_l=0.0177] /content/gdrive/MyDrive/slon/slon (22).txt\n"," 12% 9/78 [07:47<33:52, 29.46s/it, bpd=4.76, g_l=4.76, gn=2.39, l=4.48, p_l=0.0162]/content/gdrive/MyDrive/slon/slon (11).txt\n"," 13% 10/78 [07:52<25:09, 22.20s/it, bpd=5.09, g_l=5.09, gn=2.46, l=4.8, p_l=0.0146]/content/gdrive/MyDrive/slon/slon (17).txt\n"," 14% 11/78 [07:58<19:06, 17.12s/it, bpd=5.28, g_l=5.28, gn=2.38, l=4.97, p_l=0.0132]/content/gdrive/MyDrive/slon/slon (33).txt\n"," 15% 12/78 [08:03<14:55, 13.57s/it, bpd=5.62, g_l=5.62, gn=2.42, l=5.29, p_l=0.0118]/content/gdrive/MyDrive/slon/slon (17).txt\n"," 17% 13/78 [08:08<11:59, 11.08s/it, bpd=5.26, g_l=5.26, gn=2.45, l=4.95, p_l=0.0106]/content/gdrive/MyDrive/slon/slon (19).txt\n"," 18% 14/78 [08:13<09:57, 9.33s/it, bpd=5.15, g_l=5.15, gn=2.4, l=4.85, p_l=0.00932]/content/gdrive/MyDrive/slon/slon (10).txt\n"," 19% 15/78 [08:19<08:29, 8.09s/it, bpd=5.08, g_l=5.08, gn=2.39, l=4.79, p_l=0.00807]/content/gdrive/MyDrive/slon/slon (17).txt\n"," 21% 16/78 [08:24<07:27, 7.22s/it, bpd=6.01, g_l=6.01, gn=2.4, l=5.65, p_l=0.00702]/content/gdrive/MyDrive/slon/slon (14).txt\n"," 22% 17/78 [08:29<06:42, 6.60s/it, bpd=5.26, g_l=5.26, gn=2.44, l=4.96, p_l=0.00582]/content/gdrive/MyDrive/slon/slon (1).txt\n"," 23% 18/78 [08:34<06:09, 6.16s/it, bpd=5.01, g_l=5.01, gn=2.6, l=4.72, p_l=0.00499]/content/gdrive/MyDrive/slon/slon (17).txt\n"," 24% 19/78 [08:39<05:46, 5.87s/it, bpd=6.01, g_l=6.01, gn=2.55, l=5.66, p_l=0.00398]/content/gdrive/MyDrive/slon/slon (35).txt\n"," 26% 20/78 [08:44<05:28, 5.66s/it, bpd=4.69, g_l=4.69, gn=2.7, l=4.41, p_l=0.00322]/content/gdrive/MyDrive/slon/slon (31).txt\n"," 27% 21/78 [08:50<05:14, 5.51s/it, bpd=5.17, g_l=5.17, gn=2.74, l=4.87, p_l=0.00248]/content/gdrive/MyDrive/slon/slon (15).txt\n"," 28% 22/78 [08:55<05:02, 5.41s/it, bpd=5.34, g_l=5.34, gn=2.48, l=5.02, p_l=0.00186]/content/gdrive/MyDrive/slon/slon (4).txt\n"," 29% 23/78 [09:00<04:53, 5.34s/it, bpd=5.93, g_l=5.93, gn=2.37, l=5.58, p_l=0.0014]/content/gdrive/MyDrive/slon/slon (2).txt\n"," 31% 24/78 [09:05<04:46, 5.30s/it, bpd=4.47, g_l=4.47, gn=2.35, l=4.21, p_l=0.00103]/content/gdrive/MyDrive/slon/slon (17).txt\n"," 32% 25/78 [09:10<04:39, 5.27s/it, bpd=4.72, g_l=4.72, gn=2.75, l=4.44, p_l=0.000768]/content/gdrive/MyDrive/slon/slon (17).txt\n"," 33% 26/78 [09:16<04:33, 5.27s/it, bpd=4.71, g_l=4.71, gn=2.53, l=4.44, p_l=0.000572]/content/gdrive/MyDrive/slon/slon (11).txt\n"," 35% 27/78 [09:21<04:27, 5.25s/it, bpd=5.1, g_l=5.1, gn=2.85, l=4.8, p_l=0.000437]/content/gdrive/MyDrive/slon/slon (17).txt\n"," 36% 28/78 [09:26<04:21, 5.24s/it, bpd=5.19, g_l=5.19, gn=2.63, l=4.89, p_l=0.000326]/content/gdrive/MyDrive/slon/slon (19).txt\n"," 37% 29/78 [09:31<04:16, 5.23s/it, bpd=4.42, g_l=4.42, gn=3.29, l=4.16, p_l=0.000253]/content/gdrive/MyDrive/slon/slon (25).txt\n"," 38% 30/78 [09:36<04:10, 5.22s/it, bpd=5.04, g_l=5.04, gn=3.87, l=4.75, p_l=0.000206]/content/gdrive/MyDrive/slon/slon (23).txt\n"," 40% 31/78 [09:42<04:05, 5.23s/it, bpd=6.69, g_l=6.69, gn=2.82, l=6.3, p_l=0.000172]/content/gdrive/MyDrive/slon/slon (24).txt\n"," 41% 32/78 [09:47<04:00, 5.22s/it, bpd=4.51, g_l=4.51, gn=2.24, l=4.25, p_l=0.000145]/content/gdrive/MyDrive/slon/slon (30).txt\n"," 42% 33/78 [09:52<03:54, 5.22s/it, bpd=5.45, g_l=5.45, gn=3.07, l=5.13, p_l=0.000129]/content/gdrive/MyDrive/slon/slon (30).txt\n"," 44% 34/78 [09:57<03:49, 5.22s/it, bpd=6.2, g_l=6.2, gn=2.55, l=5.84, p_l=0.000115]/content/gdrive/MyDrive/slon/slon (1).txt\n"," 45% 35/78 [10:03<03:43, 5.20s/it, bpd=6.57, g_l=6.57, gn=2.5, l=6.18, p_l=0.000103]/content/gdrive/MyDrive/slon/slon (35).txt\n"," 46% 36/78 [10:08<03:38, 5.20s/it, bpd=6.7, g_l=6.7, gn=2.32, l=6.31, p_l=0.0001]/content/gdrive/MyDrive/slon/slon (17).txt\n"," 47% 37/78 [10:13<03:32, 5.18s/it, bpd=5.09, g_l=5.09, gn=3.45, l=4.79, p_l=0.000102]/content/gdrive/MyDrive/slon/slon (32).txt\n"," 49% 38/78 [10:18<03:27, 5.18s/it, bpd=5.53, g_l=5.53, gn=2.54, l=5.21, p_l=0.000108]/content/gdrive/MyDrive/slon/slon (16).txt\n"," 50% 39/78 [10:23<03:21, 5.18s/it, bpd=4.86, g_l=4.86, gn=3.67, l=4.58, p_l=0.000108]/content/gdrive/MyDrive/slon/slon (27).txt\n"," 51% 40/78 [10:28<03:16, 5.18s/it, bpd=5.09, g_l=5.09, gn=2.83, l=4.79, p_l=9.93e-5]/content/gdrive/MyDrive/slon/slon (3).txt\n"," 53% 41/78 [10:34<03:11, 5.17s/it, bpd=5.28, g_l=5.28, gn=2.97, l=4.97, p_l=9.49e-5]/content/gdrive/MyDrive/slon/slon (29).txt\n"," 54% 42/78 [10:39<03:06, 5.18s/it, bpd=3.98, g_l=3.98, gn=3.14, l=3.75, p_l=9.37e-5]/content/gdrive/MyDrive/slon/slon (11).txt\n"," 55% 43/78 [10:44<03:01, 5.19s/it, bpd=5.25, g_l=5.25, gn=2.96, l=4.94, p_l=8.29e-5]/content/gdrive/MyDrive/slon/slon (14).txt\n"," 56% 44/78 [10:49<02:56, 5.20s/it, bpd=4.81, g_l=4.81, gn=3.29, l=4.53, p_l=8.12e-5]/content/gdrive/MyDrive/slon/slon (21).txt\n"," 58% 45/78 [10:54<02:51, 5.21s/it, bpd=4.51, g_l=4.51, gn=5.03, l=4.25, p_l=7.46e-5]/content/gdrive/MyDrive/slon/slon (24).txt\n"," 59% 46/78 [11:00<02:46, 5.22s/it, bpd=6.6, g_l=6.6, gn=3.45, l=6.21, p_l=7.36e-5]/content/gdrive/MyDrive/slon/slon (17).txt\n"," 60% 47/78 [11:05<02:41, 5.22s/it, bpd=5.99, g_l=5.99, gn=3.14, l=5.64, p_l=7.02e-5]/content/gdrive/MyDrive/slon/slon (21).txt\n"," 62% 48/78 [11:10<02:36, 5.23s/it, bpd=6.51, g_l=6.51, gn=2.58, l=6.13, p_l=7.04e-5]/content/gdrive/MyDrive/slon/slon (19).txt\n"," 63% 49/78 [11:15<02:31, 5.23s/it, bpd=5.24, g_l=5.24, gn=4.08, l=4.93, p_l=6.91e-5]/content/gdrive/MyDrive/slon/slon (27).txt\n"," 64% 50/78 [11:21<02:26, 5.23s/it, bpd=6.16, g_l=6.16, gn=4.36, l=5.8, p_l=6.86e-5]/content/gdrive/MyDrive/slon/slon (11).txt\n"," 65% 51/78 [11:26<02:20, 5.21s/it, bpd=6.54, g_l=6.54, gn=3.19, l=6.15, p_l=7.33e-5]/content/gdrive/MyDrive/slon/slon (32).txt\n"," 67% 52/78 [11:31<02:15, 5.19s/it, bpd=5.41, g_l=5.41, gn=4.64, l=5.09, p_l=7.15e-5]/content/gdrive/MyDrive/slon/slon (11).txt\n"," 68% 53/78 [11:36<02:09, 5.18s/it, bpd=6, g_l=6, gn=3.72, l=5.65, p_l=6.25e-5]/content/gdrive/MyDrive/slon/slon (16).txt\n"," 69% 54/78 [11:41<02:04, 5.18s/it, bpd=5.65, g_l=5.65, gn=5.81, l=5.32, p_l=5.11e-5]/content/gdrive/MyDrive/slon/slon (25).txt\n"," 71% 55/78 [11:46<01:59, 5.19s/it, bpd=5.44, g_l=5.44, gn=3.33, l=5.12, p_l=4.05e-5]/content/gdrive/MyDrive/slon/slon (16).txt\n"," 72% 56/78 [11:52<01:54, 5.19s/it, bpd=5.94, g_l=5.94, gn=6.07, l=5.59, p_l=3.26e-5]/content/gdrive/MyDrive/slon/slon (24).txt\n"," 73% 57/78 [11:57<01:48, 5.18s/it, bpd=5.58, g_l=5.58, gn=5.63, l=5.25, p_l=2.8e-5]/content/gdrive/MyDrive/slon/slon (15).txt\n"," 74% 58/78 [12:02<01:43, 5.19s/it, bpd=6.06, g_l=6.06, gn=3.08, l=5.7, p_l=2.68e-5]/content/gdrive/MyDrive/slon/slon (31).txt\n"," 76% 59/78 [12:07<01:38, 5.20s/it, bpd=6.75, g_l=6.75, gn=3.2, l=6.35, p_l=2.58e-5]/content/gdrive/MyDrive/slon/slon (3).txt\n"," 77% 60/78 [12:12<01:33, 5.21s/it, bpd=5.06, g_l=5.06, gn=6.82, l=4.76, p_l=2.62e-5]/content/gdrive/MyDrive/slon/slon (26).txt\n"," 78% 61/78 [12:18<01:28, 5.21s/it, bpd=4.71, g_l=4.71, gn=4.27, l=4.44, p_l=2.54e-5]/content/gdrive/MyDrive/slon/slon (17).txt\n"," 79% 62/78 [12:23<01:23, 5.23s/it, bpd=5.43, g_l=5.43, gn=3.81, l=5.11, p_l=2.61e-5]/content/gdrive/MyDrive/slon/slon (15).txt\n"," 81% 63/78 [12:28<01:18, 5.22s/it, bpd=5.92, g_l=5.92, gn=3.96, l=5.57, p_l=2.72e-5]/content/gdrive/MyDrive/slon/slon (2).txt\n"," 82% 64/78 [12:33<01:12, 5.21s/it, bpd=5.25, g_l=5.25, gn=4.66, l=4.94, p_l=2.77e-5]/content/gdrive/MyDrive/slon/slon (34).txt\n"," 83% 65/78 [12:39<01:07, 5.21s/it, bpd=5.07, g_l=5.07, gn=4.53, l=4.77, p_l=2.64e-5]/content/gdrive/MyDrive/slon/slon (16).txt\n"," 85% 66/78 [12:44<01:02, 5.21s/it, bpd=5.31, g_l=5.31, gn=4.36, l=5, p_l=2.47e-5]/content/gdrive/MyDrive/slon/slon (17).txt\n"," 86% 67/78 [12:49<00:57, 5.21s/it, bpd=4.79, g_l=4.79, gn=3.75, l=4.51, p_l=2.47e-5]/content/gdrive/MyDrive/slon/slon (23).txt\n"," 87% 68/78 [12:54<00:52, 5.21s/it, bpd=5.72, g_l=5.72, gn=3.75, l=5.38, p_l=2.5e-5]/content/gdrive/MyDrive/slon/slon (16).txt\n"," 88% 69/78 [12:59<00:46, 5.21s/it, bpd=5.26, g_l=5.26, gn=4.04, l=4.95, p_l=2.51e-5]/content/gdrive/MyDrive/slon/slon (22).txt\n"," 90% 70/78 [13:05<00:41, 5.21s/it, bpd=5.52, g_l=5.52, gn=2.96, l=5.2, p_l=2.58e-5]/content/gdrive/MyDrive/slon/slon (3).txt\n"," 91% 71/78 [13:10<00:36, 5.20s/it, bpd=5.71, g_l=5.71, gn=3.18, l=5.37, p_l=2.47e-5]/content/gdrive/MyDrive/slon/slon (2).txt\n"," 92% 72/78 [13:15<00:31, 5.21s/it, bpd=5.59, g_l=5.59, gn=3.67, l=5.26, p_l=2.62e-5]/content/gdrive/MyDrive/slon/slon (17).txt\n"," 94% 73/78 [13:20<00:26, 5.20s/it, bpd=6.06, g_l=6.06, gn=5.66, l=5.7, p_l=2.82e-5]/content/gdrive/MyDrive/slon/slon (27).txt\n"," 95% 74/78 [13:25<00:20, 5.21s/it, bpd=5.7, g_l=5.7, gn=4.65, l=5.36, p_l=3.01e-5]/content/gdrive/MyDrive/slon/slon (11).txt\n"," 96% 75/78 [13:31<00:15, 5.20s/it, bpd=5.54, g_l=5.54, gn=6.04, l=5.21, p_l=3.46e-5]/content/gdrive/MyDrive/slon/slon (26).txt\n","100% 78/78 [13:46<00:00, 10.60s/it, bpd=6.06, g_l=6.06, gn=3.6, l=5.71, p_l=7.52e-5]\n","Train bpd: 5.3961 prime_loss: 0.0037 gen_loss: 5.3961 loss: 5.0787 gn: 3.3927 lr: 0.0001 lg_loss_scale: 16.1540 epoch: -1.0000\n"," 0% 0/9 [00:00 ๐Ÿ•ด๏ธโ€โ™€๏ธ "]}]}