Open JordiSucciGirl opened 1 month ago
(base) gwen@GwenSeidr:~/2/parler-tts$ virtualenv parler_tts_env created virtual environment CPython3.10.12.final.0-64 in 328ms creator CPython3Posix(dest=/home/gwen/2/parler-tts/parler_tts_env, clear=False, no_vcs_ignore=False, global=False) seeder FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/gwen/.local/share/virtualenv) added seed packages: GitPython==3.1.43, Jinja2==3.1.3, Markdown==3.6, MarkupSafe==2.1.5, PyYAML==6.0.1, absl_py==2.1.0, accelerate==0.29.2, aiohttp==3.9.4, aiosignal==1.3.1, appdirs==1.4.4, argbind==0.3.7, asttokens==2.4.1, async_timeout==4.0.3, attrs==23.2.0, audioread==3.0.1, certifi==2024.2.2, cffi==1.16.0, charset_normalizer==3.3.2, click==8.1.7, contourpy==1.2.1, cycler==0.12.1, datasets==2.18.0, decorator==5.1.1, descript_audio_codec==1.0.0, descript_audiotools==0.7.2, dill==0.3.8, docker_pycreds==0.4.0, docstring_parser==0.16, einops==0.7.0, evaluate==0.4.1, exceptiongroup==1.2.0, executing==2.0.1, ffmpy==0.3.2, filelock==3.13.4, fire==0.6.0, flatten_dict==0.4.2, fonttools==4.51.0, frozenlist==1.4.1, fsspec==2024.2.0, future==1.0.0, gitdb==4.0.11, grpcio==1.62.1, huggingface_hub==0.22.2, idna==3.7, importlib_resources==6.4.0, ipython==8.23.0, jedi==0.19.1, jiwer==3.0.3, joblib==1.4.0, julius==0.2.7, kiwisolver==1.4.5, lazy_loader==0.4, librosa==0.10.1, llvmlite==0.42.0, markdown2==2.4.13, markdown_it_py==3.0.0, matplotlib==3.8.4, matplotlib_inline==0.1.6, mdurl==0.1.2, mpmath==1.3.0, msgpack==1.0.8, multidict==6.0.5, multiprocess==0.70.16, networkx==3.3, numba==0.59.1, numpy==1.26.4, nvidia_cublas_cu12==12.1.3.1, nvidia_cuda_cupti_cu12==12.1.105, nvidia_cuda_nvrtc_cu12==12.1.105, nvidia_cuda_runtime_cu12==12.1.105, nvidia_cudnn_cu12==8.9.2.26, nvidia_cufft_cu12==11.0.2.54, nvidia_curand_cu12==10.3.2.106, nvidia_cusolver_cu12==11.4.5.107, nvidia_cusparse_cu12==12.1.0.106, nvidia_nccl_cu12==2.19.3, nvidia_nvjitlink_cu12==12.4.127, nvidia_nvtx_cu12==12.1.105, packaging==24.0, pandas==2.2.2, parler_tts==0.1, parso==0.8.4, pexpect==4.9.0, pillow==10.3.0, pip==24.0, platformdirs==4.2.0, pooch==1.8.1, prompt_toolkit==3.0.43, protobuf==3.19.6, psutil==5.9.8, ptyprocess==0.7.0, pure_eval==0.2.2, pyarrow==15.0.2, pyarrow_hotfix==0.6, pycparser==2.22, pygments==2.17.2, pyloudnorm==0.1.1, pyparsing==3.1.2, pystoi==0.4.1, python_dateutil==2.9.0.post0, pytz==2024.1, randomname==0.2.1, rapidfuzz==3.8.1, regex==2023.12.25, requests==2.31.0, responses==0.18.0, rich==13.7.1, safetensors==0.4.2, scikit_learn==1.4.2, scipy==1.13.0, sentencepiece==0.2.0, sentry_sdk==1.45.0, setproctitle==1.3.3, setuptools==69.2.0, six==1.16.0, smmap==5.0.1, soundfile==0.12.1, soxr==0.3.7, stack_data==0.6.3, sympy==1.12, tensorboard==2.16.2, tensorboard_data_server==0.7.2, termcolor==2.4.0, threadpoolctl==3.4.0, tokenizers==0.15.2, torch==2.2.2, torch_stoi==0.2.1, torchaudio==2.2.2, tqdm==4.66.2, traitlets==5.14.2, transformers==4.39.3, triton==2.2.0, typing_extensions==4.11.0, tzdata==2024.1, urllib3==2.2.1, wandb==0.16.6, wcwidth==0.2.13, werkzeug==3.0.2, wheel==0.43.0, xxhash==3.4.1, yarl==1.9.4 activators BashActivator,CShellActivator,FishActivator,NushellActivator,PowerShellActivator,PythonActivator (base) gwen@GwenSeidr:~/2/parler-tts$ source parler_tts_env/bin/activate (parler_tts_env) (base) gwen@GwenSeidr:~/2/parler-tts$ source parler_tts_env/bin/activate (parler_tts_env) (base) gwen@GwenSeidr:~/2/parler-tts$ python helpers/model_init_scripts/init_model_600M.py ./parler-tts-untrained-600M --text_model "google/flan-t5-base" --audio_model "parler-tts/dac_44khZ_8kbps" num_codebooks 9 /home/gwen/2/parler-tts/parler_tts_env/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py:28: UserWarning: torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm. warnings.warn("torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.") Removed shared tensor {'text_encoder.encoder.embed_tokens.weight'} while saving. This should be OK, but check by verifying that you don't receive any warning while reloading
(base) gwen@GwenSeidr:~/2/parler-tts$ virtualenv parler_tts_env created virtual environment CPython3.10.12.final.0-64 in 328ms creator CPython3Posix(dest=/home/gwen/2/parler-tts/parler_tts_env, clear=False, no_vcs_ignore=False, global=False) seeder FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/gwen/.local/share/virtualenv) added seed packages: GitPython==3.1.43, Jinja2==3.1.3, Markdown==3.6, MarkupSafe==2.1.5, PyYAML==6.0.1, absl_py==2.1.0, accelerate==0.29.2, aiohttp==3.9.4, aiosignal==1.3.1, appdirs==1.4.4, argbind==0.3.7, asttokens==2.4.1, async_timeout==4.0.3, attrs==23.2.0, audioread==3.0.1, certifi==2024.2.2, cffi==1.16.0, charset_normalizer==3.3.2, click==8.1.7, contourpy==1.2.1, cycler==0.12.1, datasets==2.18.0, decorator==5.1.1, descript_audio_codec==1.0.0, descript_audiotools==0.7.2, dill==0.3.8, docker_pycreds==0.4.0, docstring_parser==0.16, einops==0.7.0, evaluate==0.4.1, exceptiongroup==1.2.0, executing==2.0.1, ffmpy==0.3.2, filelock==3.13.4, fire==0.6.0, flatten_dict==0.4.2, fonttools==4.51.0, frozenlist==1.4.1, fsspec==2024.2.0, future==1.0.0, gitdb==4.0.11, grpcio==1.62.1, huggingface_hub==0.22.2, idna==3.7, importlib_resources==6.4.0, ipython==8.23.0, jedi==0.19.1, jiwer==3.0.3, joblib==1.4.0, julius==0.2.7, kiwisolver==1.4.5, lazy_loader==0.4, librosa==0.10.1, llvmlite==0.42.0, markdown2==2.4.13, markdown_it_py==3.0.0, matplotlib==3.8.4, matplotlib_inline==0.1.6, mdurl==0.1.2, mpmath==1.3.0, msgpack==1.0.8, multidict==6.0.5, multiprocess==0.70.16, networkx==3.3, numba==0.59.1, numpy==1.26.4, nvidia_cublas_cu12==12.1.3.1, nvidia_cuda_cupti_cu12==12.1.105, nvidia_cuda_nvrtc_cu12==12.1.105, nvidia_cuda_runtime_cu12==12.1.105, nvidia_cudnn_cu12==8.9.2.26, nvidia_cufft_cu12==11.0.2.54, nvidia_curand_cu12==10.3.2.106, nvidia_cusolver_cu12==11.4.5.107, nvidia_cusparse_cu12==12.1.0.106, nvidia_nccl_cu12==2.19.3, nvidia_nvjitlink_cu12==12.4.127, nvidia_nvtx_cu12==12.1.105, packaging==24.0, pandas==2.2.2, parler_tts==0.1, parso==0.8.4, pexpect==4.9.0, pillow==10.3.0, pip==24.0, platformdirs==4.2.0, pooch==1.8.1, prompt_toolkit==3.0.43, protobuf==3.19.6, psutil==5.9.8, ptyprocess==0.7.0, pure_eval==0.2.2, pyarrow==15.0.2, pyarrow_hotfix==0.6, pycparser==2.22, pygments==2.17.2, pyloudnorm==0.1.1, pyparsing==3.1.2, pystoi==0.4.1, python_dateutil==2.9.0.post0, pytz==2024.1, randomname==0.2.1, rapidfuzz==3.8.1, regex==2023.12.25, requests==2.31.0, responses==0.18.0, rich==13.7.1, safetensors==0.4.2, scikit_learn==1.4.2, scipy==1.13.0, sentencepiece==0.2.0, sentry_sdk==1.45.0, setproctitle==1.3.3, setuptools==69.2.0, six==1.16.0, smmap==5.0.1, soundfile==0.12.1, soxr==0.3.7, stack_data==0.6.3, sympy==1.12, tensorboard==2.16.2, tensorboard_data_server==0.7.2, termcolor==2.4.0, threadpoolctl==3.4.0, tokenizers==0.15.2, torch==2.2.2, torch_stoi==0.2.1, torchaudio==2.2.2, tqdm==4.66.2, traitlets==5.14.2, transformers==4.39.3, triton==2.2.0, typing_extensions==4.11.0, tzdata==2024.1, urllib3==2.2.1, wandb==0.16.6, wcwidth==0.2.13, werkzeug==3.0.2, wheel==0.43.0, xxhash==3.4.1, yarl==1.9.4 activators BashActivator,CShellActivator,FishActivator,NushellActivator,PowerShellActivator,PythonActivator (base) gwen@GwenSeidr:~/2/parler-tts$ source parler_tts_env/bin/activate (parler_tts_env) (base) gwen@GwenSeidr:~/2/parler-tts$ source parler_tts_env/bin/activate (parler_tts_env) (base) gwen@GwenSeidr:~/2/parler-tts$ python helpers/model_init_scripts/init_model_600M.py ./parler-tts-untrained-600M --text_model "google/flan-t5-base" --audio_model "parler-tts/dac_44khZ_8kbps" num_codebooks 9 /home/gwen/2/parler-tts/parler_tts_env/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py:28: UserWarning: torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm. warnings.warn("torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.") Removed shared tensor {'text_encoder.encoder.embed_tokens.weight'} while saving. This should be OK, but check by verifying that you don't receive any warning while reloading