Dependency Conflict and Deprecated API Usage in meshgpt-pytorch #98
Description
encountering issues while setting up and testing the meshgpt-pytorch package. These issues include a dependency conflict and the use of deprecated APIs in x-transformers.
Dependency Conflict: The meshgpt-pytorch package requires x-transformers within the version range <1.31, >=1.30.19, but the current dependency resolver installs an incompatible version (1.44.4).
Error Message:
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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.
meshgpt-pytorch 1.5.12 requires x-transformers<1.31,>=1.30.19, but you have x-transformers 1.44.4 which is incompatible.
We resolved this by downgrading x-transformers to 1.30.19, but this feels like a stopgap solution.
Deprecated API Usage: While running the package, we see warnings related to deprecated functions in x-transformers:
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/home/jeb/meshgpt_env/lib/python3.12/site-packages/x_transformers/x_transformers.py:504: FutureWarning: torch.cuda.amp.autocast(args...) is deprecated. Please use torch.amp.autocast('cuda', args...) instead.
This issue suggests that some parts of the code are not updated to use the latest PyTorch API (torch.amp.autocast).
Steps to Reproduce:
Clone the meshgpt-pytorch repository.
Create and activate a virtual environment using Python 3.12.
Install the package as per the instructions in the repository.
Run the tests or use the library.
Expected Behavior:
Dependencies should resolve without conflict.
No warnings or errors should appear during execution.
Environment Details:
Python version: 3.12
PyTorch version: [specify version]
OS: [Linux/Mac/Windows]
x-transformers version: Initially 1.44.4, downgraded to 1.30.19.
Workaround: We resolved the dependency conflict temporarily by downgrading x-transformers to 1.30.19 but encountered the deprecated API warnings.
Request:
Update the dependency requirements to avoid conflicts.
Modify the code to use the latest PyTorch API for compatibility.
===== Python Environment =====
Python Version: Python 3.12.8
Pip Version: pip 24.3.1 from /home/jeb/programs/mgpt/meshgpt_env/lib/python3.12/site-packages/pip (python 3.12)
Installed Python Packages:
Package Version
accelerate 1.2.1
aiohappyeyeballs 2.4.4
aiohttp 3.11.11
aiosignal 1.3.2
attrs 24.3.0
beartype 0.19.0
certifi 2024.12.14
charset-normalizer 3.4.1
classifier-free-guidance-pytorch 0.7.1
contourpy 1.3.1
cycler 0.12.1
einops 0.8.0
einx 0.3.0
ema-pytorch 0.7.7
environs 14.1.0
filelock 3.16.1
fonttools 4.55.3
frozendict 2.4.6
frozenlist 1.5.0
fsspec 2024.12.0
ftfy 6.3.1
gateloop-transformer 0.2.5
huggingface-hub 0.27.1
idna 3.10
iniconfig 2.0.0
jaxtyping 0.2.36
Jinja2 3.1.5
kiwisolver 1.4.8
local-attention 1.9.15
loguru 0.7.3
MarkupSafe 3.0.2
marshmallow 3.25.0
matplotlib 3.10.0
meshgpt-pytorch 1.5.12
mpmath 1.3.0
multidict 6.1.0
networkx 3.4.2
numpy 2.2.1
nvidia-cublas-cu12 12.4.5.8
nvidia-cuda-cupti-cu12 12.4.127
nvidia-cuda-nvrtc-cu12 12.4.127
nvidia-cuda-runtime-cu12 12.4.127
nvidia-cudnn-cu12 9.1.0.70
nvidia-cufft-cu12 11.2.1.3
nvidia-curand-cu12 10.3.5.147
nvidia-cusolver-cu12 11.6.1.9
nvidia-cusparse-cu12 12.3.1.170
nvidia-nccl-cu12 2.21.5
nvidia-nvjitlink-cu12 12.4.127
nvidia-nvtx-cu12 12.4.127
open_clip_torch 2.30.0
optree 0.13.1
packaging 24.2
pillow 11.1.0
pip 24.3.1
pluggy 1.5.0
propcache 0.2.1
psutil 6.1.1
pyparsing 3.2.1
pytest 8.3.4
python-dateutil 2.9.0.post0
python-dotenv 1.0.1
pytorch-custom-utils 0.0.21
pytorch-warmup 0.2.0
PyYAML 6.0.2
regex 2024.11.6
requests 2.32.3
rotary-embedding-torch 0.8.6
safetensors 0.5.2
sentencepiece 0.2.0
setuptools 75.8.0
six 1.17.0
sympy 1.13.1
taylor-series-linear-attention 0.1.12
timm 1.0.13
tokenizers 0.21.0
torch 2.5.1
torch-geometric 2.6.1
torchtyping 0.1.5
torchvision 0.20.1
tqdm 4.67.1
transformers 4.48.0
triton 3.1.0
typeguard 2.13.3
typing_extensions 4.12.2
urllib3 2.3.0
vector-quantize-pytorch 1.21.1
wcwidth 0.2.13
x-transformers 1.30.19
yarl 1.18.3
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Virtual Environment: /home/jeb/programs/mgpt/meshgpt_env
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