Running example `textured_shape_gen_mini.py` throw Error ModuleNotFoundError: No module named 'custom_rasterizer'

Open flixyudh opened this issue 11 months ago • 1 comments

I'm completely new in pythonverse, and I just tried to generate image into 3d model using example script.

but, when I tried it on google colab I got an error:

File "/content/Hunyuan3D-2/hy3dgen/texgen/pipelines.py", line 77, in from_pretrained
    return cls(Hunyuan3DTexGenConfig(delight_model_path, multiview_model_path, subfolder))
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/content/Hunyuan3D-2/hy3dgen/texgen/pipelines.py", line 90, in __init__
    self.render = MeshRender(
                  ^^^^^^^^^^^
  File "/content/Hunyuan3D-2/hy3dgen/texgen/differentiable_renderer/mesh_render.py", line 145, in __init__
    import custom_rasterizer as cr
ModuleNotFoundError: No module named 'custom_rasterizer'
---------------------------------------------------------------------------
ModuleNotFoundError                       Traceback (most recent call last)
[/content/Hunyuan3D-2/hy3dgen/texgen/pipelines.py](https://localhost:8080/#) in from_pretrained(cls, model_path, subfolder)
     76                     multiview_model_path = os.path.join(model_path, subfolder)
---> 77                     return cls(Hunyuan3DTexGenConfig(delight_model_path, multiview_model_path, subfolder))
     78                 except Exception:

3 frames
ModuleNotFoundError: No module named 'custom_rasterizer'

During handling of the above exception, another exception occurred:

RuntimeError                              Traceback (most recent call last)
[/content/Hunyuan3D-2/hy3dgen/texgen/pipelines.py](https://localhost:8080/#) in from_pretrained(cls, model_path, subfolder)
     79                     import traceback
     80                     traceback.print_exc()
---> 81                     raise RuntimeError(f"Something wrong while loading {model_path}")
     82             else:
     83                 return cls(Hunyuan3DTexGenConfig(delight_model_path, multiview_model_path, subfolder))

RuntimeError: Something wrong while loading /root/.cache/huggingface/hub/models--tencent--Hunyuan3D-2/snapshots/34e28261f71c32975727be8db0eace439a280f82

any advice what should i do?

What I've did so far:

run setup:

# 🛠️ Step 1: Clone the repo and install dependencies
!git clone https://github.com/Tencent-Hunyuan/Hunyuan3D-2.git
%cd Hunyuan3D-2

!pip install -r requirements.txt
!pip install -e .
# for texture
!cd hy3dgen/texgen/custom_rasterizer
!python3 setup.py install
!cd ../../..
!cd hy3dgen/texgen/differentiable_renderer
!python3 setup.py install

use example:

import time

import torch
from PIL import Image

from hy3dgen.rembg import BackgroundRemover
from hy3dgen.shapegen import Hunyuan3DDiTFlowMatchingPipeline
from hy3dgen.texgen import Hunyuan3DPaintPipeline

image_path = 'assets/demo.png'
image = Image.open(image_path).convert("RGBA")
if image.mode == 'RGB':
    rembg = BackgroundRemover()
    image = rembg(image)

pipeline = Hunyuan3DDiTFlowMatchingPipeline.from_pretrained(
    'tencent/Hunyuan3D-2mini',
    subfolder='hunyuan3d-dit-v2-mini',
    variant='fp16'
)
pipeline_texgen = Hunyuan3DPaintPipeline.from_pretrained('tencent/Hunyuan3D-2') # this line raise an error

start_time = time.time()
mesh = pipeline(
    image=image,
    num_inference_steps=50,
    octree_resolution=380,
    num_chunks=20000,
    generator=torch.manual_seed(12345),
    output_type='trimesh'
)[0]
print("--- %s seconds ---" % (time.time() - start_time))
mesh.export(f'demo_mini.glb')

mesh = pipeline_texgen(mesh, image=image)
mesh.export('demo_textured_mini.glb')

May 31 '25 09:05 flixyudh

@flixyudh I was able to run it with this exact dependencies versions:

it seemed that torch 2.4 was the problem, since transformers does not allow it to load .bin tensors anymore due to a vulnerability.

tried with 2.6 and not sucess, but surprisingly it worked with torch 2.7.1

your logs also have the error ModuleNotFoundError: No module named 'custom_rasterizer', so double check if it was properly installed

absl-py==2.1.0
accelerate==1.7.0
aiofiles==24.1.0
aiohappyeyeballs @ file:///rapids/aiohappyeyeballs-2.4.3-py3-none-any.whl#sha256=8a7a83727b2756f394ab2895ea0765a0a8c475e3c71e98d43d76f22b4b435572
aiohttp @ file:///rapids/aiohttp-3.10.10-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=a45d85cf20b5e0d0aa5a8dca27cce8eddef3292bc29d72dcad1641f4ed50aa16
aiosignal @ file:///rapids/aiosignal-1.3.1-py3-none-any.whl#sha256=f8376fb07dd1e86a584e4fcdec80b36b7f81aac666ebc724e2c090300dd83b17
annotated-types==0.7.0
antlr4-python3-runtime==4.9.3
anyio==4.6.2.post1
apex @ file:///opt/pytorch/apex/dist/apex-0.1-cp312-cp312-linux_x86_64.whl#sha256=4aa2d4bee4bb1e8bd4111b979c0b7cc932d65eec29a82724dce300b392dfd6e0
argon2-cffi==23.1.0
argon2-cffi-bindings==21.2.0
arrow==1.3.0
asciitree @ file:///rapids/asciitree-0.3.3-py3-none-any.whl#sha256=7c1c5f8deb3f57cb89a64c23e8cc1883a3a74735a1d4198a779425c9cd10454a
asttokens==2.4.1
astunparse==1.6.3
async-lru==2.0.4
attrs==24.2.0
audioread==3.0.1
babel==2.16.0
beautifulsoup4==4.12.3
black==24.10.0
bleach==6.2.0
blis==0.7.11
cachetools @ file:///rapids/cachetools-5.5.0-py3-none-any.whl#sha256=02134e8439cdc2ffb62023ce1debca2944c3f289d66bb17ead3ab3dede74b292
catalogue==2.0.10
certifi==2024.8.30
cffi==1.17.1
charset-normalizer==3.4.0
click==8.1.7
cloudpathlib==0.20.0
cloudpickle @ file:///rapids/cloudpickle-3.1.0-py3-none-any.whl#sha256=fe11acda67f61aaaec473e3afe030feb131d78a43461b718185363384f1ba12e
cmake==3.31.0.1
coloredlogs==15.0.1
comm==0.2.2
confection==0.1.5
contourpy==1.3.1
cuda-python @ file:///rapids/cuda_python-12.6.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=5bd2edf78bc9a56b18887ff8ea58d1ba8f2a48a0b880bd65147ae18ff7ca0415
cudf @ file:///rapids/cudf-24.10.0-cp312-cp312-linux_x86_64.whl#sha256=7f3caaf0a7bb99f4984f86b988e80a94b531b2d24596240c94a21b15892f9fad
cudf-polars @ file:///rapids/cudf_polars-24.10.0-py3-none-any.whl#sha256=e763f7ca3b878cc71bf865cd8af69378c78f426a2f3672b2b379bd04d552e574
cugraph @ file:///rapids/cugraph-24.10.0-cp312-cp312-linux_x86_64.whl#sha256=696df6a2e110b9dd1aba5b9dcdd0bbb2b215561555946be6aef136cda76aa56e
cugraph-dgl @ file:///rapids/cugraph_dgl-24.10.0-py3-none-any.whl#sha256=80ba0f5786ce490179e07fed4574e30ee291e693fca8e6a991a7f7c8ee4120fc
cugraph-equivariant @ file:///rapids/cugraph_equivariant-24.10.0-py3-none-any.whl#sha256=dc6e1bed10138188eee0e8b98ebbad53f5eab56b69c24771f8d1d5325fd6baf6
cugraph-pyg @ file:///rapids/cugraph_pyg-24.10.0-py3-none-any.whl#sha256=051278cbb75e2cceb38980965ff13dcc8aa7ed8618c11cc9a7ab1b74a23e260c
cugraph-service-client @ file:///rapids/cugraph_service_client-24.10.0-py3-none-any.whl#sha256=75d0f121780f7ccde42ab988e399b09cc186d2e8c1112afc9acd69bbde86b394
cugraph-service-server @ file:///rapids/cugraph_service_server-24.10.0-py3-none-any.whl#sha256=02fd3d4464b54c79bbdace538ffd7cde855dcfe5479b5870e469d25140b61bb2
cuml @ file:///rapids/cuml-24.10.0-cp312-cp312-linux_x86_64.whl#sha256=04970f49b462f9c09e71c715792ecdb82dbf93d2d5af298a3c35f9ca64d6b7c9
cupy-cuda12x @ file:///rapids/cupy_cuda12x-13.2.0-cp312-cp312-linux_x86_64.whl#sha256=0048af9e87efbaa27a52f8d27d1cf3337d7e7f4b52efc7baa597482dc1261b94
custom_rasterizer==0.1
cuvs @ file:///rapids/cuvs-24.10.0-cp312-cp312-linux_x86_64.whl#sha256=41c923ca4029a66dea431242dbf830ea2869b149a93f7e7f3b823070da6760ea
cycler==0.12.1
cymem==2.0.8
Cython==3.0.11
dask @ file:///rapids/dask-2024.9.0-py3-none-any.whl#sha256=ceede9cfd418178a01ec3d11a0cde3f46678bd4a292ba84b57bbb401ce3f1cb8
dask-cuda @ file:///rapids/dask_cuda-24.10.0-py3-none-any.whl#sha256=7333994c386fad055f6745010a5b86d78a7ea9e0f011f62ea61b5c246e74599b
dask-cudf @ file:///rapids/dask_cudf-24.10.0-py3-none-any.whl#sha256=5e3acac9904ac0b9c6cb2bd171e9160142a054a24709b0729b0f003b19c1eca7
dask-expr @ file:///rapids/dask_expr-1.1.14-py3-none-any.whl#sha256=86a59c51a84d88b6a653f5b4e2c578213a349a963206dcd29219e4826560ada2
dataclasses-json==0.6.7
debugpy==1.8.8
decorator==5.1.1
defusedxml==0.7.1
Deprecated==1.2.18
diffusers==0.33.1
dill==0.3.9
distributed @ file:///rapids/distributed-2024.9.0-py3-none-any.whl#sha256=d3a6407efffd3ab70a7f3a068be0f15c7ba36adc4fc666ed3d3505ced2c79cbe
distributed-ucxx @ file:///rapids/distributed_ucxx-0.40.0-py3-none-any.whl#sha256=723d870923ac8a6b5a8b49055f76f52640d6303ebd301b543e131e151221d60e
dm-tree==0.1.8
einops==0.8.1
execnet==2.1.1
executing==2.1.0
expecttest==0.2.1
fastapi==0.115.13
fasteners @ file:///rapids/fasteners-0.19-py3-none-any.whl#sha256=758819cb5d94cdedf4e836988b74de396ceacb8e2794d21f82d131fd9ee77237
fastjsonschema==2.20.0
fastrlock @ file:///rapids/fastrlock-0.8.2-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_28_x86_64.whl#sha256=dcc1bf0ac8a194313cf6e645e300a8a379674ceed8e0b1e910a2de3e3c28989e
ffmpy==0.6.0
filelock==3.16.1
flatbuffers==25.2.10
fonttools==4.55.0
fqdn==1.5.1
frozenlist @ file:///rapids/frozenlist-1.5.0-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=000a77d6034fbad9b6bb880f7ec073027908f1b40254b5d6f26210d2dab1240e
fsspec==2024.10.0
gast==0.6.0
gradio==5.34.0
gradio_client==1.10.3
groovy==0.1.2
grpcio @ file:///rapids/grpcio-1.62.1-cp312-cp312-linux_x86_64.whl#sha256=01219057e6970dce2472401b5b979bcce4e9c00a4cafae13954de86fcbeceb70
h11==0.14.0
hf-xet==1.1.4
httpcore==1.0.7
httpx==0.27.2
huggingface-hub==0.33.0
humanfriendly==10.0
-e git+https://github.com/Tencent-Hunyuan/Hunyuan3D-2.git@e4ece4cb8ac05ef92fd90f8d91c03a29e3932529#egg=hy3dgen
hypothesis==5.35.1
idna==3.10
igraph==0.11.8
imageio==2.37.0
importlib_metadata==8.5.0
iniconfig==2.0.0
intel-openmp==2021.4.0
ipykernel==6.29.5
ipython==8.29.0
isoduration==20.11.0
isort==5.13.2
jedi==0.19.2
Jinja2==3.1.4
joblib==1.4.2
json5==0.9.28
jsonpointer==3.0.0
jsonschema==4.23.0
jsonschema-specifications==2024.10.1
jupyter-events==0.10.0
jupyter-lsp==2.2.5
jupyter_client==8.6.3
jupyter_core==5.7.2
jupyter_server==2.14.2
jupyter_server_terminals==0.5.3
jupyterlab==4.2.5
jupyterlab-tensorboard-pro==4.0.0
jupyterlab_code_formatter==3.0.2
jupyterlab_pygments==0.3.0
jupyterlab_server==2.27.3
jupytext==1.16.4
kiwisolver==1.4.7
kvikio @ file:///rapids/kvikio-24.10.0-cp312-cp312-linux_x86_64.whl#sha256=7f6687e2bcf352e9d69636ffc011f36963a3dee1d62c141a9435bc8a4abd43c4
langcodes==3.4.1
language_data==1.2.0
lazy_loader==0.4
libcudf @ file:///rapids/libcudf-24.10.0-py3-none-linux_x86_64.whl#sha256=4699b391e7148b87b942e1446376b8bca5bebba31b80a9056868e2c7d348e8d1
libkvikio @ file:///rapids/libkvikio-24.10.0-py3-none-linux_x86_64.whl#sha256=14f3050c64b59e01563fd209daf5f0e52564c4e033edb9b96ac741cd4448f091
librmm @ file:///rapids/librmm-24.10.0-py3-none-linux_x86_64.whl#sha256=407d028262319cff5b03450940e48d3951971d0f687b3f51c4154235b6d1393c
librosa==0.10.1
libucxx @ file:///rapids/libucxx-0.40.0-py3-none-linux_x86_64.whl#sha256=a75f6c01493b2a5020b5b54d9762f507ba8e4e6e9a9f224b16bf8dda18820df0
lightning-thunder==0.2.0.dev0
lightning-utilities==0.11.8
lintrunner==0.12.5
llvmlite @ file:///rapids/llvmlite-0.42.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=d47494552559e00d81bfb836cf1c4d5a5062e54102cc5767d5aa1e77ccd2505c
locket @ file:///rapids/locket-1.0.0-py2.py3-none-any.whl#sha256=b6c819a722f7b6bd955b80781788e4a66a55628b858d347536b7e81325a3a5e3
looseversion==1.3.0
marisa-trie==1.2.1
Markdown==3.7
markdown-it-py==3.0.0
MarkupSafe==3.0.2
marshmallow==3.26.1
matplotlib==3.9.2
matplotlib-inline==0.1.7
mdit-py-plugins==0.4.2
mdurl==0.1.2
mesh_processor==0.0.0
mistune==3.0.2
mkl==2021.1.1
mkl-devel==2021.1.1
mkl-include==2021.1.1
mock==5.1.0
mpmath==1.3.0
msgpack==1.1.0
multidict @ file:///rapids/multidict-6.1.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=4b820514bfc0b98a30e3d85462084779900347e4d49267f747ff54060cc33925
murmurhash==1.0.10
mypy-extensions==1.0.0
nbclient==0.10.0
nbconvert==7.16.4
nbformat==5.10.4
nest-asyncio==1.6.0
networkx==3.4.2
ninja==1.11.1.4
notebook==7.2.2
notebook_shim==0.2.4
numba @ file:///rapids/numba-0.59.1-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl#sha256=f7ad1d217773e89a9845886401eaaab0a156a90aa2f179fdc125261fd1105096
numcodecs @ file:///rapids/numcodecs-0.13.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=da2230484e6102e5fa3cc1a5dd37ca1f92dfbd183d91662074d6f7574e3e8f53
numpy==1.26.4
nvfuser==0.2.13a0+0d33366
nvidia-cublas-cu12==12.6.4.1
nvidia-cuda-cupti-cu12==12.6.80
nvidia-cuda-nvrtc-cu12==12.6.77
nvidia-cuda-runtime-cu12==12.6.77
nvidia-cudnn-cu12==9.5.1.17
nvidia-cudnn-frontend @ file:///opt/pytorch/lightning-thunder/tmp/cudnn_frontend
nvidia-cufft-cu12==11.3.0.4
nvidia-cufile-cu12==1.11.1.6
nvidia-curand-cu12==10.3.7.77
nvidia-cusolver-cu12==11.7.1.2
nvidia-cusparse-cu12==12.5.4.2
nvidia-cusparselt-cu12==0.6.3
nvidia-dali-cuda120==1.43.0
nvidia-modelopt==0.19.0
nvidia-nccl-cu12==2.26.2
nvidia-nvimgcodec-cu12==0.4.0.9
nvidia-nvjitlink-cu12==12.6.85
nvidia-nvtx-cu12==12.6.77
nvidia-pyindex==1.0.9
nvtx @ file:///rapids/nvtx-0.2.5-cp312-cp312-linux_x86_64.whl#sha256=7d861e5ca687715a8ab87fb964de286d0a8b679ea7c698f049da62784c2c1815
nx-cugraph @ file:///rapids/nx_cugraph-24.10.0-py3-none-any.whl#sha256=1b5f3a1693cb3e63be38976125eea89d4a6d42a3820e6da9a953d70b350a7efc
omegaconf==2.3.0
onnx @ file:///opt/pytorch/pytorch/third_party/onnx
onnxruntime==1.22.0
opencv @ file:///opencv-4.10.0/modules/python/package
opencv-python==4.11.0.86
opencv-python-headless==4.11.0.86
opt_einsum==3.4.0
optree==0.13.1
orjson==3.10.18
overrides==7.7.0
packaging @ file:///rapids/packaging-23.2-py3-none-any.whl#sha256=8c491190033a9af7e1d931d0b5dacc2ef47509b34dd0de67ed209b5203fc88c7
pandas @ file:///rapids/pandas-2.2.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=eee3a87076c0756de40b05c5e9a6069c035ba43e8dd71c379e68cab2c20f16ad
pandocfilters==1.5.1
parso==0.8.4
partd @ file:///rapids/partd-1.4.2-py3-none-any.whl#sha256=978e4ac767ec4ba5b86c6eaa52e5a2a3bc748a2ca839e8cc798f1cc6ce6efb0f
pathspec==0.12.1
pexpect==4.9.0
pillow==11.0.0
pip==24.3.1
platformdirs==4.3.6
pluggy==1.5.0
ply @ file:///rapids/ply-3.11-py2.py3-none-any.whl#sha256=096f9b8350b65ebd2fd1346b12452efe5b9607f7482813ffca50c22722a807ce
polars @ file:///rapids/polars-1.8.2-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=67c1e448d6e38697650b22dd359f13c40b567c0b66686c8602e4367400e87801
polygraphy==0.49.13
pooch==1.8.2
preshed==3.0.9
prometheus_client==0.21.0
prompt_toolkit==3.0.48
propcache @ file:///rapids/propcache-0.2.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=55346705687dbd7ef0d77883ab4f6fabc48232f587925bdaf95219bae072491e
protobuf==4.24.4
psutil==6.1.0
ptyprocess==0.7.0
PuLP==2.9.0
pure_eval==0.2.3
pyarrow @ file:///rapids/pyarrow-17.0.0-cp312-cp312-manylinux_2_28_x86_64.whl#sha256=b0c6ac301093b42d34410b187bba560b17c0330f64907bfa4f7f7f2444b0cf9b
pybind11==2.13.6
pybind11_global==2.13.6
pycocotools @ git+https://github.com/nvidia/cocoapi.git@08350a157b41f0755a536441b5abec89ab934c5b#subdirectory=PythonAPI
pycparser==2.22
pydantic==2.9.2
pydantic_core==2.23.4
pydub==0.25.1
pygltflib==1.16.4
Pygments==2.18.0
pylibcudf @ file:///rapids/pylibcudf-24.10.0-cp312-cp312-linux_x86_64.whl#sha256=c38925c04cf0a517aa571dd1a0549d7a046432b7d07c77bf968277ef082e6ecf
pylibcugraph @ file:///rapids/pylibcugraph-24.10.0-cp312-cp312-linux_x86_64.whl#sha256=8efac9d340e85539fe048d69fd53ad53543253ed814c0fc727dd21d1e13ac109
pylibcugraphops @ file:///rapids/pylibcugraphops-24.10.0-cp312-cp312-linux_x86_64.whl#sha256=b5c97343dcc289459bbb77c8937be55ecf3763d658cc37f9b9e08f3e46ac041f
pylibraft @ file:///rapids/pylibraft-24.10.0-cp312-cp312-linux_x86_64.whl#sha256=5fd722a380ab81282949c9b1a643189b644fecf15398978ef4efe0061329fb0e
pylibwholegraph @ file:///rapids/pylibwholegraph-24.10.0-cp312-cp312-linux_x86_64.whl#sha256=adfb81fa0d30ae1a761a13820a906851e2a75488dc69a1bb9e0d68146fd88c4c
PyMatting==1.1.14
pymeshlab==2023.12.post3
pynvjitlink @ file:///rapids/pynvjitlink-0.3.0-cp312-cp312-linux_x86_64.whl#sha256=f63c999d5ab629ae99a30b9606075b3e81a43a2e726da90f4de545bbca070a11
pynvml @ file:///rapids/pynvml-11.4.1-py3-none-any.whl#sha256=d27be542cd9d06558de18e2deffc8022ccd7355bc7382255d477038e7e424c6c
pyparsing==3.2.0
pytest==8.1.1
pytest-flakefinder==1.1.0
pytest-rerunfailures==14.0
pytest-shard==0.1.2
pytest-xdist==3.6.1
python-dateutil==2.9.0.post0
python-hostlist==2.0.0
python-json-logger==2.0.7
python-multipart==0.0.20
pytorch-triton @ file:///tmp/dist/pytorch_triton-3.0.0%2Bdedb7bdf3-cp312-cp312-linux_x86_64.whl#sha256=7c8dc6cb8c03d6c6e5ef4271fda589518c6663f7a0fca11a7fa77b640978da57
pytz @ file:///rapids/pytz-2023.4-py2.py3-none-any.whl#sha256=f90ef520d95e7c46951105338d918664ebfd6f1d995bd7d153127ce90efafa6a
PyYAML==6.0.2
pyzmq==26.2.0
raft-dask @ file:///rapids/raft_dask-24.10.0-cp312-cp312-linux_x86_64.whl#sha256=b58fa14960b2e7270eed05e61ca25fcb5b3785875065a0f3efd5a9f9b618f983
rapids-dask-dependency @ file:///rapids/rapids_dask_dependency-24.10.0a0-py3-none-any.whl#sha256=e6a8fd98fcb0e52d501cb19e26570dde13ecd424c62fb0d4558d2826e09f4e4b
referencing==0.35.1
regex==2024.11.6
rembg==2.0.66
requests==2.32.3
rfc3339-validator==0.1.4
rfc3986-validator==0.1.1
rich==13.9.4
rmm @ file:///rapids/rmm-24.10.0-cp312-cp312-linux_x86_64.whl#sha256=4afd09ff7a57d389c3f9bb8e012c4e40b5e92d3a1431c5d4f88241685beed177
rpds-py==0.21.0
ruff==0.12.0
safehttpx==0.1.6
safetensors==0.4.5
scikit-image==0.25.2
scikit-learn==1.5.2
scipy @ file:///rapids/scipy-1.14.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=8f9ea80f2e65bdaa0b7627fb00cbeb2daf163caa015e59b7516395fe3bd1e066
semantic-version==2.10.0
Send2Trash==1.8.3
setuptools==70.3.0
shellingham==1.5.4
six==1.16.0
smart-open==7.0.5
sniffio==1.3.1
sortedcontainers==2.4.0
soundfile==0.12.1
soupsieve==2.6
soxr==0.5.0.post1
spacy==3.7.5
spacy-legacy==3.0.12
spacy-loggers==1.0.5
srsly==2.4.8
stack-data==0.6.3
starlette==0.46.2
sympy==1.14.0
tabulate==0.9.0
tbb==2021.13.1
tblib @ file:///rapids/tblib-3.0.0-py3-none-any.whl#sha256=80a6c77e59b55e83911e1e607c649836a69c103963c5f28a46cbeef44acf8129
tensorboard==2.16.2
tensorboard-data-server==0.7.2
tensorrt @ file:///workspace/TensorRT-10.6.0.26/python/tensorrt-10.6.0-cp312-none-linux_x86_64.whl#sha256=a032c1c9990974aedaafd6a700ccb7d72bb78c7a778da9f2a4e2dde045906c16
terminado==0.18.1
texttable==1.7.0
thinc==8.2.5
threadpoolctl==3.5.0
thriftpy2 @ file:///rapids/thriftpy2-0.4.20-cp312-cp312-linux_x86_64.whl#sha256=f84f96a342cbfb35f005c037630be5d6cc8bdaa4bbcd89c567d00cb6f8447a87
tifffile==2025.6.11
tinycss2==1.4.0
tokenizers==0.21.1
tomlkit==0.13.3
toolz @ file:///rapids/toolz-1.0.0-py3-none-any.whl#sha256=292c8f1c4e7516bf9086f8850935c799a874039c8bcf959d47b600e4c44a6236
torch==2.7.1
torch_tensorrt @ file:///opt/pytorch/torch_tensorrt/dist/torch_tensorrt-2.6.0a0-cp312-cp312-linux_x86_64.whl#sha256=aaf760d5fa8db2fc5b5f475d10ce38db7b85ba60ee256df856550bf58a816596
torchaudio==2.4.0+cu121
torchprofile==0.0.4
torchvision==0.22.1
tornado==6.2
tqdm==4.67.1
traitlets==5.14.3
transformer_engine @ git+https://github.com/NVIDIA/TransformerEngine.git@7f2afaaac23c10e37516fc8ff8f53103b9730c78
transformers==4.52.4
treelite @ file:///rapids/treelite-4.3.0-py3-none-linux_x86_64.whl#sha256=ba55ba43ab4a0eca04dd9cfd0c114bae0f88a96b6768fb204858fe6f979c961f
trimesh==4.6.12
triton==3.3.1
typer==0.13.0
types-dataclasses==0.6.6
types-python-dateutil==2.9.0.20241003
typing-inspect==0.9.0
typing_extensions==4.12.2
tzdata @ file:///rapids/tzdata-2024.2-py2.py3-none-any.whl#sha256=a48093786cdcde33cad18c2555e8532f34422074448fbc874186f0abd79565cd
ucx-py @ file:///rapids/ucx_py-0.40.0-cp312-cp312-linux_x86_64.whl#sha256=aa513dd424774341abfc69140ee46a3ed1cc663dfb985ebe0e92071bd9a848f4
ucxx @ file:///rapids/ucxx-0.40.0-cp312-cp312-linux_x86_64.whl#sha256=93e7201580fef6f70d161e48206e4aea49a851d86ad21cf75a9632be5364fa79
uri-template==1.3.0
urllib3 @ file:///rapids/urllib3-2.0.7-py3-none-any.whl#sha256=fdb6d215c776278489906c2f8916e6e7d4f5a9b602ccbcfdf7f016fc8da0596e
uvicorn==0.34.3
wasabi==1.1.3
wcwidth==0.2.13
weasel==0.4.1
webcolors==24.11.1
webencodings==0.5.1
websocket-client==1.8.0
websockets==15.0.1
Werkzeug==3.1.3
wheel==0.45.0
wrapt==1.16.0
xatlas==0.0.10
xdoctest==1.0.2
xgboost @ file:///rapids/xgboost-2.1.1-py3-none-linux_x86_64.whl#sha256=38b7f3100a1e29d6c4efa13d1299e4a99070fdfd9937dfee5a07513a64fc6155
yarl @ file:///rapids/yarl-1.17.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=7f6595c852ca544aaeeb32d357e62c9c780eac69dcd34e40cae7b55bc4fb1147
zarr @ file:///rapids/zarr-2.18.3-py3-none-any.whl#sha256=b1f7dfd2496f436745cdd4c7bcf8d3b4bc1dceef5fdd0d589c87130d842496dd
zict @ file:///rapids/zict-3.0.0-py2.py3-none-any.whl#sha256=5796e36bd0e0cc8cf0fbc1ace6a68912611c1dbd74750a3f3026b9b9d6a327ae
zipp==3.21.0

Jun 17 '25 23:06 ronebrandao