Training Notebook not working

[ltextor]

First of all, thanks for the great work!

Unfortunately, I am not able to train a new voice with the Colab Notebook. I get some errors when installing the software. Because I have seen a video where that happened too and it still worked, I went on and tried to train. But the training fails with an error that it cannot import "_compare_version" from "torchmetrics.utilities.imports". I have tried different settings but always get the same error.

Output from "Install software":
/content/piper/src/python Collecting pip==24.0 Downloading pip-24.0-py3-none-any.whl.metadata (3.6 kB) Downloading pip-24.0-py3-none-any.whl (2.1 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2.1/2.1 MB 45.8 MB/s eta 0:00:00 Installing collected packages: pip Attempting uninstall: pip Found existing installation: pip 24.1.2 Uninstalling pip-24.1.2: Successfully uninstalled pip-24.1.2 Successfully installed pip-24.0 DEPRECATION: pytorch-lightning 1.7.7 has a non-standard dependency specifier torch>=1.9.*. pip 24.1 will enforce this behaviour change. A possible replacement is to upgrade to a newer version of pytorch-lightning or contact the author to suggest that they release a version with a conforming dependency specifiers. Discussion can be found at https://github.com/pypa/pip/issues/12063 ERROR: 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. torchaudio 2.5.1+cu121 requires torch==2.5.1, but you have torch 1.13.0+cu117 which is incompatible. pymc 5.19.1 requires numpy>=1.25.0, but you have numpy 1.24.0 which is incompatible. torchvision 0.20.1+cu121 requires torch==2.5.1, but you have torch 1.13.0+cu117 which is incompatible. chex 0.1.88 requires numpy>=1.24.1, but you have numpy 1.24.0 which is incompatible. imbalanced-learn 0.13.0 requires numpy<3,>=1.24.3, but you have numpy 1.24.0 which is incompatible. albucore 0.0.19 requires numpy>=1.24.4, but you have numpy 1.24.0 which is incompatible. seaborn 0.13.2 requires numpy!=1.24.0,>=1.20, but you have numpy 1.24.0 which is incompatible. blosc2 3.0.0 requires numpy>=1.25.0, but you have numpy 1.24.0 which is incompatible. albumentations 1.4.20 requires numpy>=1.24.4, but you have numpy 1.24.0 which is incompatible. ERROR: Could not find a version that satisfies the requirement torchtext==0.14.0 (from versions: 0.1.1, 0.2.0, 0.2.1, 0.2.3, 0.3.1, 0.4.0, 0.5.0, 0.6.0, 0.15.1, 0.15.2, 0.16.0, 0.16.1, 0.16.2, 0.17.0, 0.17.1, 0.17.2, 0.18.0) ERROR: No matching distribution found for torchtext==0.14.0 ERROR: Ignored the following yanked versions: 2.0.0 ERROR: Could not find a version that satisfies the requirement torchaudio==0.13.0 (from versions: 2.0.1, 2.0.2, 2.1.0, 2.1.1, 2.1.2, 2.2.0, 2.2.1, 2.2.2, 2.3.0, 2.3.1, 2.4.0, 2.4.1, 2.5.0, 2.5.1) ERROR: No matching distribution found for torchaudio==0.13.0 Requirement already satisfied: gdown in /usr/local/lib/python3.11/dist-packages (5.2.0) Requirement already satisfied: transformers in /usr/local/lib/python3.11/dist-packages (4.47.1) Collecting transformers Downloading transformers-4.48.1-py3-none-any.whl.metadata (44 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 44.4/44.4 kB 2.0 MB/s eta 0:00:00 Requirement already satisfied: beautifulsoup4 in /usr/local/lib/python3.11/dist-packages (from gdown) (4.12.3) Requirement already satisfied: filelock in /usr/local/lib/python3.11/dist-packages (from gdown) (3.16.1) Requirement already satisfied: requests[socks] in /usr/local/lib/python3.11/dist-packages (from gdown) (2.32.3) Requirement already satisfied: tqdm in /usr/local/lib/python3.11/dist-packages (from gdown) (4.67.1) Requirement already satisfied: huggingface-hub<1.0,>=0.24.0 in /usr/local/lib/python3.11/dist-packages (from transformers) (0.27.1) Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.11/dist-packages (from transformers) (1.24.0) Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.11/dist-packages (from transformers) (24.2) Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.11/dist-packages (from transformers) (6.0.2) Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.11/dist-packages (from transformers) (2024.11.6) Requirement already satisfied: tokenizers<0.22,>=0.21 in /usr/local/lib/python3.11/dist-packages (from transformers) (0.21.0) Requirement already satisfied: safetensors>=0.4.1 in /usr/local/lib/python3.11/dist-packages (from transformers) (0.5.2) Requirement already satisfied: fsspec>=2023.5.0 in /usr/local/lib/python3.11/dist-packages (from huggingface-hub<1.0,>=0.24.0->transformers) (2024.10.0) Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.11/dist-packages (from huggingface-hub<1.0,>=0.24.0->transformers) (4.12.2) Requirement already satisfied: soupsieve>1.2 in /usr/local/lib/python3.11/dist-packages (from beautifulsoup4->gdown) (2.6) Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.11/dist-packages (from requests[socks]->gdown) (3.4.1) Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.11/dist-packages (from requests[socks]->gdown) (3.10) Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.11/dist-packages (from requests[socks]->gdown) (2.3.0) Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.11/dist-packages (from requests[socks]->gdown) (2024.12.14) Requirement already satisfied: PySocks!=1.5.7,>=1.5.6 in /usr/local/lib/python3.11/dist-packages (from requests[socks]->gdown) (1.7.1) Downloading transformers-4.48.1-py3-none-any.whl (9.7 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 9.7/9.7 MB 39.3 MB/s eta 0:00:00 DEPRECATION: pytorch-lightning 1.7.7 has a non-standard dependency specifier torch>=1.9.*. pip 24.1 will enforce this behaviour change. A possible replacement is to upgrade to a newer version of pytorch-lightning or contact the author to suggest that they release a version with a conforming dependency specifiers. Discussion can be found at https://github.com/pypa/pip/issues/12063 Installing collected packages: transformers Attempting uninstall: transformers Found existing installation: transformers 4.47.1 Uninstalling transformers-4.47.1: Successfully uninstalled transformers-4.47.1 Successfully installed transformers-4.48.1 Compiling /content/piper/src/python/piper_train/vits/monotonic_align/core.pyx because it changed. [1/1] Cythonizing /content/piper/src/python/piper_train/vits/monotonic_align/core.pyx /usr/local/lib/python3.11/dist-packages/Cython/Compiler/Main.py:381: FutureWarning: Cython directive 'language_level' not set, using '3str' for now (Py3). This has changed from earlier releases! File: /content/piper/src/python/piper_train/vits/monotonic_align/core.pyx tree = Parsing.p_module(s, pxd, full_module_name) performance hint: core.pyx:7:5: Exception check on 'maximum_path_each' will always require the GIL to be acquired. Possible solutions: 1. Declare 'maximum_path_each' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on 'maximum_path_each' to allow an error code to be returned. performance hint: core.pyx:38:6: Exception check on 'maximum_path_c' will always require the GIL to be acquired. Possible solutions: 1. Declare 'maximum_path_c' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on 'maximum_path_c' to allow an error code to be returned. performance hint: core.pyx:42:21: Exception check after calling 'maximum_path_each' will always require the GIL to be acquired. Possible solutions: 1. Declare 'maximum_path_each' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on 'maximum_path_each' to allow an error code to be returned. Done!

Output from "6. Train":
Traceback (most recent call last): File "<frozen runpy>", line 198, in _run_module_as_main File "<frozen runpy>", line 88, in _run_code File "/content/piper/src/python/piper_train/__main__.py", line 7, in <module> from pytorch_lightning import Trainer File "/usr/local/lib/python3.11/dist-packages/pytorch_lightning/__init__.py", line 34, in <module> from pytorch_lightning.callbacks import Callback # noqa: E402 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.11/dist-packages/pytorch_lightning/callbacks/__init__.py", line 25, in <module> from pytorch_lightning.callbacks.progress import ProgressBarBase, RichProgressBar, TQDMProgressBar File "/usr/local/lib/python3.11/dist-packages/pytorch_lightning/callbacks/progress/__init__.py", line 22, in <module> from pytorch_lightning.callbacks.progress.rich_progress import RichProgressBar # noqa: F401 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.11/dist-packages/pytorch_lightning/callbacks/progress/rich_progress.py", line 20, in <module> from torchmetrics.utilities.imports import _compare_version ImportError: cannot import name '_compare_version' from 'torchmetrics.utilities.imports' (/usr/local/lib/python3.11/dist-packages/torchmetrics/utilities/imports.py)

[thanhnew2001]

You can reinstall torchmetrics
I fixed it with torchmetrics==0.11.4, then the ExponentialLR problem appeared.

[ltextor]

Sorry I do not understand that solution. The notebook already specifies it like that, but it's still not working. What am I missing?

Thank you!

[is33]

I am having the same issue with both this and the updated notebook

…

On Sun, Feb 2, 2025, 10:52 AM lotex ***@***.***> wrote: Sorry I do not understand that solution. The notebook already specifies it like that, but it's still not working. What am I missing? Thank you! — Reply to this email directly, view it on GitHub <#707 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AAKPHSAEA7KG6637O66VLXL2NY5K7AVCNFSM6AAAAABVVWI3RCVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDMMRZGQ2DSMRZGY> . You are receiving this because you commented.Message ID: ***@***.***>

[rajuaryan21]

I am getting the same error.