SpatialLM/pyproject.toml at main · manycore-research/SpatialLM · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
[tool.poetry]
name = "spatiallm"
version = "0.1.1"
description = "SpatialLM: Training Large Language Models for Structured Indoor Modeling"
authors = ["ManyCore Research Team"]
license = "Llama3.2"
readme = "README.md"

[tool.poetry.dependencies]
python = ">=3.10,<=3.12"
torch = { version = "^2.4.1+cu124", source = "pytorch" }
torchvision = { version = "^0.19.1+cu124", source = "pytorch" }
torchaudio = { version = "^2.4.1+cu124", source = "pytorch" }
transformers = ">=4.41.2,<=4.46.1"
safetensors = "^0.4.5"
pandas = "^2.2.3"
einops = "^0.8.1"
numpy = "^1.26"
scipy = "^1.15.2"
scikit-learn = "^1.6.1"
toml = "^0.10.2"
tokenizers = ">=0.19.0,<0.20.4"
huggingface_hub = ">=0.25.0"
rerun-sdk = "^0.21.0"
shapely = "^2.0.7"
bbox = "^0.9.4"
terminaltables = "^3.1.10"
open3d = "^0.18.0"
nvidia-cudnn-cu12 = "*"
nvidia-nccl-cu12 = "*"
poethepoet = { extras = ["poetry-plugin"], version = "^0.33.1" }
addict = "^2.4.0"

[tool.poe.tasks]
install-torchsparse = "pip install git+https://github.com/mit-han-lab/torchsparse.git"
install-flash-attn = "pip install ninja flash-attn --no-build-isolation"
install-torch-scatter = "pip install torch-scatter -f https://data.pyg.org/whl/torch-2.4.0+cu124.html"
install-spconv = "pip install timm spconv-cu120"
install-sonata = [
    "install-flash-attn",
    "install-torch-scatter",
    "install-spconv",
]
install-training = "pip install omegaconf datasets<=3.6.0 accelerate<=1.7.0 wandb"

[build-system]
requires = ["poetry-core", "setuptools", "wheel", "torch"]
build-backend = "poetry.core.masonry.api"

[[tool.poetry.source]]
priority = "supplemental"
name = "pytorch"
url = "https://download.pytorch.org/whl/cu124"