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cuda_requirements.txt
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# This file was autogenerated by uv via the following command:
# uv pip compile cuda_requirements.in -o cuda_requirements.txt
absl-py==2.1.0
# via
# array-record
# etils
# keras
# keras-core
# keras-cv
# tensorboard
# tensorflow
# tensorflow-datasets
# tensorflow-metadata
antlr4-python3-runtime==4.9.3
# via
# hydra-core
# omegaconf
anyio==4.4.0
# via
# httpx
# jupyter-server
argon2-cffi==23.1.0
# via jupyter-server
argon2-cffi-bindings==21.2.0
# via argon2-cffi
array-record==0.5.1
# via tensorflow-datasets
arrow==1.3.0
# via isoduration
asttokens==2.4.1
# via stack-data
astunparse==1.6.3
# via tensorflow
async-lru==2.0.4
# via jupyterlab
attrs==23.2.0
# via
# jsonschema
# referencing
babel==2.15.0
# via jupyterlab-server
beautifulsoup4==4.12.3
# via
# gdown
# nbconvert
bleach==6.1.0
# via nbconvert
build==1.2.1
# via -r cuda_requirements.in
certifi==2024.6.2
# via
# httpcore
# httpx
# requests
cffi==1.16.0
# via argon2-cffi-bindings
charset-normalizer==3.3.2
# via requests
click==8.1.7
# via tensorflow-datasets
comm==0.2.2
# via
# ipykernel
# ipywidgets
debugpy==1.8.2
# via ipykernel
decorator==5.1.1
# via ipython
defusedxml==0.7.1
# via nbconvert
dm-tree==0.1.8
# via
# keras-core
# tensorflow-datasets
docstring-parser==0.16
# via simple-parsing
etils==1.9.2
# via
# array-record
# tensorflow-datasets
executing==2.0.1
# via stack-data
fastjsonschema==2.20.0
# via nbformat
filelock==3.15.4
# via gdown
flatbuffers==24.3.25
# via tensorflow
fqdn==1.5.1
# via jsonschema
fsspec==2024.6.1
# via etils
gast==0.6.0
# via tensorflow
gdown==5.2.0
# via -r cuda_requirements.in
google-pasta==0.2.0
# via tensorflow
googleapis-common-protos==1.63.2
# via tensorflow-metadata
grpcio==1.64.1
# via
# tensorboard
# tensorflow
gviz-api==1.10.0
# via tensorboard-plugin-profile
h11==0.14.0
# via httpcore
h5py==3.11.0
# via
# keras
# keras-core
# tensorflow
httpcore==1.0.5
# via httpx
httpx==0.27.0
# via jupyterlab
hydra-core==1.3.2
# via -r cuda_requirements.in
idna==3.7
# via
# anyio
# httpx
# jsonschema
# requests
immutabledict==4.2.0
# via tensorflow-datasets
importlib-resources==6.4.0
# via etils
ipykernel==6.29.4
# via
# jupyter
# jupyter-console
# jupyterlab
# qtconsole
ipython==8.26.0
# via
# ipykernel
# ipywidgets
# jupyter-console
ipywidgets==8.1.3
# via jupyter
isoduration==20.11.0
# via jsonschema
jedi==0.19.1
# via ipython
jinja2==3.1.4
# via
# jupyter-server
# jupyterlab
# jupyterlab-server
# nbconvert
joblib==1.4.2
# via scikit-learn
json5==0.9.25
# via jupyterlab-server
jsonpointer==3.0.0
# via jsonschema
jsonschema==4.22.0
# via
# jupyter-events
# jupyterlab-server
# nbformat
jsonschema-specifications==2023.12.1
# via jsonschema
jupyter==1.0.0
# via -r cuda_requirements.in
jupyter-client==8.6.2
# via
# ipykernel
# jupyter-console
# jupyter-server
# nbclient
# qtconsole
jupyter-console==6.6.3
# via jupyter
jupyter-core==5.7.2
# via
# ipykernel
# jupyter-client
# jupyter-console
# jupyter-server
# jupyterlab
# nbclient
# nbconvert
# nbformat
# qtconsole
jupyter-events==0.10.0
# via jupyter-server
jupyter-lsp==2.2.5
# via jupyterlab
jupyter-server==2.14.1
# via
# jupyter-lsp
# jupyterlab
# jupyterlab-server
# notebook
# notebook-shim
jupyter-server-terminals==0.5.3
# via jupyter-server
jupyterlab==4.2.3
# via notebook
jupyterlab-pygments==0.3.0
# via nbconvert
jupyterlab-server==2.27.2
# via
# jupyterlab
# notebook
jupyterlab-widgets==3.0.11
# via ipywidgets
kagglehub==0.2.5
# via keras-cv
keras==3.4.1
# via
# keras-tuner
# tensorflow
keras-core==0.1.7
# via keras-cv
keras-cv==0.9.0
# via -r cuda_requirements.in
keras-tuner==1.4.7
# via -r cuda_requirements.in
kt-legacy==1.0.5
# via keras-tuner
libclang==18.1.1
# via tensorflow
markdown==3.6
# via tensorboard
markdown-it-py==3.0.0
# via rich
markupsafe==2.1.5
# via
# jinja2
# nbconvert
# werkzeug
matplotlib-inline==0.1.7
# via
# ipykernel
# ipython
mdurl==0.1.2
# via markdown-it-py
mistune==3.0.2
# via nbconvert
ml-dtypes==0.3.2
# via
# keras
# tensorflow
namex==0.0.8
# via
# keras
# keras-core
nbclient==0.10.0
# via nbconvert
nbconvert==7.16.4
# via
# jupyter
# jupyter-server
nbformat==5.10.4
# via
# jupyter-server
# nbclient
# nbconvert
nest-asyncio==1.6.0
# via ipykernel
notebook==7.2.1
# via jupyter
notebook-shim==0.2.4
# via
# jupyterlab
# notebook
numpy==1.26.4
# via
# etils
# h5py
# keras
# keras-core
# ml-dtypes
# opencv-python
# opt-einsum
# pandas
# pyarrow
# scikit-learn
# scipy
# tensorboard
# tensorflow
# tensorflow-datasets
# types-tensorflow
nvidia-cublas-cu12==12.3.4.1
# via
# nvidia-cudnn-cu12
# nvidia-cusolver-cu12
# tensorflow
nvidia-cuda-cupti-cu12==12.3.101
# via tensorflow
nvidia-cuda-nvcc-cu12==12.3.107
# via tensorflow
nvidia-cuda-nvrtc-cu12==12.3.107
# via
# nvidia-cudnn-cu12
# tensorflow
nvidia-cuda-runtime-cu12==12.3.101
# via tensorflow
nvidia-cudnn-cu12==8.9.7.29
# via tensorflow
nvidia-cufft-cu12==11.0.12.1
# via tensorflow
nvidia-curand-cu12==10.3.4.107
# via tensorflow
nvidia-cusolver-cu12==11.5.4.101
# via tensorflow
nvidia-cusparse-cu12==12.2.0.103
# via
# nvidia-cusolver-cu12
# tensorflow
nvidia-nccl-cu12==2.19.3
# via tensorflow
nvidia-nvjitlink-cu12==12.3.101
# via
# nvidia-cusolver-cu12
# nvidia-cusparse-cu12
# tensorflow
omegaconf==2.3.0
# via hydra-core
opencv-python==4.10.0.84
# via -r cuda_requirements.in
opt-einsum==3.3.0
# via tensorflow
optree==0.11.0
# via keras
overrides==7.7.0
# via jupyter-server
packaging==24.1
# via
# build
# hydra-core
# ipykernel
# jupyter-server
# jupyterlab
# jupyterlab-server
# kagglehub
# keras
# keras-cv
# keras-tuner
# nbconvert
# plotly
# qtconsole
# qtpy
# tensorflow
pandas==2.2.2
# via -r cuda_requirements.in
pandocfilters==1.5.1
# via nbconvert
parso==0.8.4
# via jedi
pexpect==4.9.0
# via ipython
pillow==10.3.0
# via -r cuda_requirements.in
platformdirs==4.2.2
# via jupyter-core
plotly==5.22.0
# via -r cuda_requirements.in
prometheus-client==0.20.0
# via jupyter-server
promise==2.3
# via tensorflow-datasets
prompt-toolkit==3.0.47
# via
# ipython
# jupyter-console
protobuf==4.25.3
# via
# googleapis-common-protos
# tensorboard
# tensorboard-plugin-profile
# tensorflow
# tensorflow-datasets
# tensorflow-metadata
psutil==6.0.0
# via
# ipykernel
# tensorflow-datasets
ptyprocess==0.7.0
# via
# pexpect
# terminado
pure-eval==0.2.2
# via stack-data
pyarrow==16.1.0
# via tensorflow-datasets
pycparser==2.22
# via cffi
pygments==2.18.0
# via
# ipython
# jupyter-console
# nbconvert
# qtconsole
# rich
pyproject-hooks==1.1.0
# via build
pysocks==1.7.1
# via requests
python-dateutil==2.9.0.post0
# via
# arrow
# jupyter-client
# pandas
python-json-logger==2.0.7
# via jupyter-events
pytz==2024.1
# via pandas
pyyaml==6.0.1
# via
# jupyter-events
# omegaconf
pyzmq==26.0.3
# via
# ipykernel
# jupyter-client
# jupyter-console
# jupyter-server
# qtconsole
qtconsole==5.5.2
# via jupyter
qtpy==2.4.1
# via qtconsole
referencing==0.35.1
# via
# jsonschema
# jsonschema-specifications
# jupyter-events
regex==2024.5.15
# via keras-cv
requests==2.32.3
# via
# gdown
# jupyterlab-server
# kagglehub
# keras-tuner
# tensorflow
# tensorflow-datasets
rfc3339-validator==0.1.4
# via
# jsonschema
# jupyter-events
rfc3986-validator==0.1.1
# via
# jsonschema
# jupyter-events
rich==13.7.1
# via
# keras
# keras-core
rpds-py==0.18.1
# via
# jsonschema
# referencing
scikit-learn==1.5.0
# via -r cuda_requirements.in
scipy==1.14.0
# via
# -r cuda_requirements.in
# scikit-learn
send2trash==1.8.3
# via jupyter-server
setuptools==70.1.1
# via
# jupyterlab
# tensorboard
# tensorboard-plugin-profile
# tensorflow
simple-parsing==0.1.5
# via tensorflow-datasets
six==1.16.0
# via
# asttokens
# astunparse
# bleach
# google-pasta
# gviz-api
# promise
# python-dateutil
# rfc3339-validator
# tensorboard
# tensorboard-plugin-profile
# tensorflow
sniffio==1.3.1
# via
# anyio
# httpx
soupsieve==2.5
# via beautifulsoup4
stack-data==0.6.3
# via ipython
tenacity==8.4.2
# via plotly
tensorboard==2.16.2
# via tensorflow
tensorboard-data-server==0.7.2
# via tensorboard
tensorboard-plugin-profile==2.15.1
# via -r cuda_requirements.in
tensorflow==2.16.2
# via -r cuda_requirements.in
tensorflow-datasets==4.9.6
# via
# -r cuda_requirements.in
# keras-cv
tensorflow-io-gcs-filesystem==0.37.0
# via tensorflow
tensorflow-metadata==1.15.0
# via tensorflow-datasets
tensorrt==10.1.0
# via -r cuda_requirements.in
tensorrt-cu12==10.1.0
# via tensorrt
termcolor==2.4.0
# via
# tensorflow
# tensorflow-datasets
terminado==0.18.1
# via
# jupyter-server
# jupyter-server-terminals
threadpoolctl==3.5.0
# via scikit-learn
tinycss2==1.3.0
# via nbconvert
toml==0.10.2
# via tensorflow-datasets
tornado==6.4.1
# via
# ipykernel
# jupyter-client
# jupyter-server
# jupyterlab
# notebook
# terminado
tqdm==4.66.4
# via
# etils
# gdown
# kagglehub
# tensorflow-datasets
traitlets==5.14.3
# via
# comm
# ipykernel
# ipython
# ipywidgets
# jupyter-client
# jupyter-console
# jupyter-core
# jupyter-events
# jupyter-server
# jupyterlab
# matplotlib-inline
# nbclient
# nbconvert
# nbformat
# qtconsole
types-protobuf==5.27.0.20240626
# via types-tensorflow
types-python-dateutil==2.9.0.20240316
# via arrow
types-requests==2.32.0.20240622
# via types-tensorflow
types-tensorflow==2.16.0.20240627
# via -r cuda_requirements.in
typing-extensions==4.12.2
# via
# etils
# ipython
# optree
# simple-parsing
# tensorflow
tzdata==2024.1
# via pandas
uri-template==1.3.0
# via jsonschema
urllib3==2.2.2
# via
# requests
# types-requests
wcwidth==0.2.13
# via prompt-toolkit
webcolors==24.6.0
# via jsonschema
webencodings==0.5.1
# via
# bleach
# tinycss2
websocket-client==1.8.0
# via jupyter-server
werkzeug==3.0.3
# via
# tensorboard
# tensorboard-plugin-profile
wheel==0.43.0
# via astunparse
widgetsnbextension==4.0.11
# via ipywidgets
wrapt==1.16.0
# via
# tensorflow
# tensorflow-datasets
zipp==3.19.2
# via etils