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requirements-cuda.txt
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941 lines (939 loc) · 17.5 KB
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#
# This file is autogenerated by pip-compile with Python 3.10
# by the following command:
#
# pip-compile --allow-unsafe --output-file=requirements-cuda.txt requirements-cuda.in
#
--find-links https://storage.googleapis.com/jax-releases/libtpu_releases.html
--find-links https://storage.googleapis.com/jax-releases/jax_cuda_releases.html
absl-py==1.4.0
# via
# -r requirements.in
# array-record
# chex
# clu
# fiddle
# mesh-tensorflow
# ml-collections
# optax
# orbax-checkpoint
# orbax-export
# paxml
# praxis
# rouge-score
# seqio
# seqio-nightly
# t5
# tensorboard
# tensorflow
# tensorflow-datasets
# tensorflow-metadata
# tfds-nightly
anyio==4.3.0
# 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 tfds-nightly
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
# lingvo
# referencing
babel==2.14.0
# via
# jupyterlab-server
# t5
beautifulsoup4==4.12.3
# via nbconvert
bleach==6.1.0
# via nbconvert
blobfile==0.2.3
# via -r requirements.in
cachetools==5.3.3
# via google-auth
certifi==2024.2.2
# via
# httpcore
# httpx
# requests
cffi==1.16.0
# via argon2-cffi-bindings
charset-normalizer==3.3.2
# via requests
chex==0.1.86
# via
# optax
# praxis
click==8.1.7
# via
# nltk
# tensorflow-datasets
# tfds-nightly
clu @ git+https://github.com/google/CommonLoopUtils
# via
# paxml
# praxis
# seqio
# seqio-nightly
colorama==0.4.6
# via sacrebleu
comm==0.2.2
# via
# ipykernel
# ipywidgets
contextlib2==21.6.0
# via ml-collections
contourpy==1.2.1
# via matplotlib
cycler==0.12.1
# via matplotlib
dataclasses-json==0.6.4
# via orbax-export
debugpy==1.8.1
# via ipykernel
decorator==5.1.1
# via ipython
defusedxml==0.7.1
# via nbconvert
dm-tree==0.1.8
# via
# tensorflow-datasets
# tfds-nightly
docstring-parser==0.16
# via pyglove
editdistance==0.8.1
# via
# seqio
# seqio-nightly
# t5
einops==0.7.0
# via praxis
etils[enp,epath,epy]==1.7.0
# via
# array-record
# clu
# lingvo
# orbax-checkpoint
# orbax-export
# paxml
# praxis
# tensorflow-datasets
# tfds-nightly
exceptiongroup==1.2.0
# via
# anyio
# ipython
executing==2.0.1
# via stack-data
fastjsonschema==2.19.1
# via nbformat
fiddle @ git+https://github.com/google/fiddle
# via praxis
filelock==3.13.3
# via
# huggingface-hub
# transformers
flatbuffers==1.12
# via tensorflow
flax @ git+https://github.com/google/flax
# via
# clu
# paxml
# praxis
fonttools==4.50.0
# via matplotlib
fqdn==1.5.1
# via jsonschema
fsspec==2024.3.1
# via
# etils
# huggingface-hub
future==1.0.0
# via mesh-tensorflow
gast==0.4.0
# via tensorflow
gin-config==0.5.0
# via
# mesh-tensorflow
# t5
google-api-core==2.19.0
# via
# google-cloud-core
# google-cloud-storage
google-auth==2.29.0
# via
# google-api-core
# google-auth-oauthlib
# google-cloud-core
# google-cloud-storage
# tensorboard
google-auth-oauthlib==0.4.6
# via tensorboard
google-cloud-core==2.4.1
# via google-cloud-storage
google-cloud-storage==1.44.0
# via blobfile
google-crc32c==1.5.0
# via google-resumable-media
google-pasta==0.2.0
# via tensorflow
google-resumable-media==2.7.0
# via google-cloud-storage
googleapis-common-protos==1.63.0
# via
# google-api-core
# tensorflow-metadata
graph-compression-google-research==0.0.4
# via lingvo
graphviz==0.20.3
# via
# fiddle
# paxml
grpcio==1.62.1
# via
# -r requirements.in
# grpcio-reflection
# tensorboard
# tensorflow
grpcio-reflection==1.48.2
# via -r requirements.in
h11==0.14.0
# via httpcore
h5py==3.10.0
# via tensorflow
httpcore==1.0.5
# via httpx
httpx==0.27.0
# via jupyterlab
huggingface-hub==0.22.2
# via
# tokenizers
# transformers
idna==3.6
# via
# anyio
# httpx
# jsonschema
# requests
immutabledict==4.2.0
# via t5
importlib-metadata==7.1.0
# via -r requirements.in
importlib-resources==6.4.0
# via etils
ipykernel==6.29.4
# via
# jupyter
# jupyter-console
# jupyterlab
# lingvo
# qtconsole
ipython==8.23.0
# via
# ipykernel
# ipywidgets
# jupyter-console
ipywidgets==8.1.2
# via jupyter
isoduration==20.11.0
# via jsonschema
jax[cuda12-pip,tpu] @ git+https://github.com/google/jax
# via
# -r requirements-cuda.in
# -r requirements.in
# chex
# clu
# flax
# optax
# orbax-checkpoint
# orbax-export
# paxml
# praxis
# seqio
# seqio-nightly
jax-bitempered-loss==0.0.2
# via praxis
jaxlib==0.4.28+cuda12.cudnn89
# via
# chex
# clu
# jax
# optax
# orbax-checkpoint
# orbax-export
# seqio
# seqio-nightly
jaxtyping==0.2.28
# via praxis
jedi==0.19.1
# via ipython
jinja2==3.1.3
# via
# jupyter-server
# jupyterlab
# jupyterlab-server
# nbconvert
joblib==1.3.2
# via
# nltk
# scikit-learn
json5==0.9.24
# via jupyterlab-server
jsonpointer==2.4
# via jsonschema
jsonschema[format-nongpl]==4.21.1
# via
# jupyter-events
# jupyterlab-server
# nbformat
jsonschema-specifications==2023.12.1
# via jsonschema
jupyter==1.0.0
# via lingvo
jupyter-client==8.6.1
# 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-http-over-ws==0.0.8
# via lingvo
jupyter-lsp==2.2.4
# via jupyterlab
jupyter-server==2.13.0
# via
# jupyter-lsp
# jupyterlab
# jupyterlab-server
# notebook
# notebook-shim
jupyter-server-terminals==0.5.3
# via jupyter-server
jupyterlab==4.1.5
# via notebook
jupyterlab-pygments==0.3.0
# via nbconvert
jupyterlab-server==2.25.4
# via
# jupyterlab
# notebook
jupyterlab-widgets==3.0.10
# via ipywidgets
keras==2.9.0
# via tensorflow
keras-preprocessing==1.1.2
# via tensorflow
kiwisolver==1.4.5
# via matplotlib
libclang==18.1.1
# via tensorflow
libcst==1.3.1
# via fiddle
libtpu-nightly==0.1.dev20240508
# via jax
lingvo==0.12.7
# via
# paxml
# praxis
lxml==5.2.1
# via sacrebleu
markdown==3.6
# via tensorboard
markdown-it-py==3.0.0
# via rich
markupsafe==2.1.5
# via
# jinja2
# nbconvert
# werkzeug
marshmallow==3.21.1
# via dataclasses-json
matplotlib==3.8.4
# via lingvo
matplotlib-inline==0.1.6
# via
# ipykernel
# ipython
mdurl==0.1.2
# via markdown-it-py
mesh-tensorflow[transformer]==0.1.21
# via t5
mistune==3.0.2
# via nbconvert
ml-collections==0.1.1
# via clu
ml-dtypes==0.4.0
# via
# jax
# jaxlib
# tensorstore
model-pruning-google-research==0.0.5
# via lingvo
mpmath==1.3.0
# via sympy
msgpack==1.0.8
# via
# flax
# orbax-checkpoint
mypy-extensions==1.0.0
# via typing-inspect
nbclient==0.10.0
# via nbconvert
nbconvert==7.16.3
# via
# jupyter
# jupyter-server
nbformat==5.10.4
# via
# jupyter-server
# nbclient
# nbconvert
nest-asyncio==1.6.0
# via
# ipykernel
# orbax-checkpoint
nltk==3.8.1
# via
# rouge-score
# t5
notebook==7.1.2
# via
# jupyter
# jupyter-http-over-ws
notebook-shim==0.2.4
# via
# jupyterlab
# notebook
numpy==1.26.4
# via
# -r requirements.in
# chex
# clu
# contourpy
# etils
# flax
# h5py
# jax
# jaxlib
# jaxtyping
# keras-preprocessing
# matplotlib
# ml-dtypes
# opt-einsum
# optax
# orbax-checkpoint
# orbax-export
# pandas
# paxml
# praxis
# rouge-score
# sacrebleu
# scikit-learn
# scipy
# seqio
# seqio-nightly
# t5
# tensorboard
# tensorflow
# tensorflow-datasets
# tensorflow-hub
# tensorstore
# tfds-nightly
# transformers
nvidia-cublas-cu12==12.4.5.8
# via
# jax
# nvidia-cudnn-cu12
# nvidia-cusolver-cu12
nvidia-cuda-cupti-cu12==12.4.127
# via jax
nvidia-cuda-nvcc-cu12==12.4.131
# via jax
nvidia-cuda-nvrtc-cu12==12.4.127
# via nvidia-cudnn-cu12
nvidia-cuda-runtime-cu12==12.4.127
# via jax
nvidia-cudnn-cu12==8.9.7.29
# via jax
nvidia-cufft-cu12==11.2.1.3
# via jax
nvidia-cusolver-cu12==11.6.1.9
# via jax
nvidia-cusparse-cu12==12.3.1.170
# via
# jax
# nvidia-cusolver-cu12
nvidia-nccl-cu12==2.21.5
# via jax
nvidia-nvjitlink-cu12==12.4.127
# via
# jax
# nvidia-cusolver-cu12
# nvidia-cusparse-cu12
oauthlib==3.2.2
# via requests-oauthlib
opt-einsum==3.3.0
# via
# jax
# praxis
# tensorflow
optax==0.2.2
# via
# flax
# praxis
optax-shampoo==0.0.6
# via praxis
orbax-checkpoint==0.5.14
# via
# flax
# orbax-export
# paxml
orbax-export==0.0.3
# via -r requirements.in
overrides==7.7.0
# via jupyter-server
packaging==24.0
# via
# clu
# huggingface-hub
# ipykernel
# jupyter-server
# jupyterlab
# jupyterlab-server
# marshmallow
# matplotlib
# nbconvert
# qtconsole
# qtpy
# seqio
# seqio-nightly
# tensorflow
# transformers
pandas==2.2.1
# via t5
pandocfilters==1.5.1
# via nbconvert
parso==0.8.3
# via jedi
paxml @ git+https://github.com/google/paxml
# via -r requirements.in
pexpect==4.9.0
# via ipython
pillow==10.3.0
# via
# lingvo
# matplotlib
platformdirs==4.2.0
# via jupyter-core
portalocker==2.8.2
# via sacrebleu
portpicker==1.6.0
# via -r requirements.in
praxis @ git+https://github.com/google/praxis
# via
# -r requirements.in
# paxml
prometheus-client==0.20.0
# via jupyter-server
promise==2.3
# via
# tensorflow-datasets
# tfds-nightly
prompt-toolkit==3.0.43
# via
# ipython
# jupyter-console
proto-plus==1.23.0
# via google-api-core
protobuf==3.19.6
# via
# google-api-core
# google-cloud-storage
# googleapis-common-protos
# grpcio-reflection
# lingvo
# orbax-checkpoint
# paxml
# proto-plus
# seqio
# seqio-nightly
# tensorboard
# tensorflow
# tensorflow-datasets
# tensorflow-hub
# tensorflow-metadata
# tfds-nightly
psutil==5.9.8
# via
# ipykernel
# portpicker
# tensorflow-datasets
# tfds-nightly
ptyprocess==0.7.0
# via
# pexpect
# terminado
pure-eval==0.2.2
# via stack-data
pyasn1==0.6.0
# via
# pyasn1-modules
# rsa
pyasn1-modules==0.4.0
# via google-auth
pycparser==2.22
# via cffi
pyglove==0.4.4
# via
# paxml
# seqio
# seqio-nightly
pygments==2.17.2
# via
# ipython
# jupyter-console
# nbconvert
# qtconsole
# rich
pyparsing==3.1.2
# via matplotlib
python-dateutil==2.9.0.post0
# via
# arrow
# jupyter-client
# matplotlib
# pandas
python-json-logger==2.0.7
# via jupyter-events
pytz==2024.1
# via pandas
pyyaml==6.0.1
# via
# flax
# huggingface-hub
# jupyter-events
# libcst
# ml-collections
# orbax-checkpoint
# transformers
pyzmq==25.1.2
# via
# ipykernel
# jupyter-client
# jupyter-console
# jupyter-server
# qtconsole
qtconsole==5.5.1
# via jupyter
qtpy==2.4.1
# via qtconsole
referencing==0.34.0
# via
# jsonschema
# jsonschema-specifications
# jupyter-events
regex==2023.12.25
# via
# nltk
# sacrebleu
# tiktoken
# transformers
requests==2.31.0
# via
# google-api-core
# google-cloud-storage
# huggingface-hub
# jax
# jupyterlab-server
# requests-oauthlib
# tensorboard
# tensorflow-datasets
# tfds-nightly
# tiktoken
# transformers
requests-oauthlib==2.0.0
# via google-auth-oauthlib
rfc3339-validator==0.1.4
# via
# jsonschema
# jupyter-events
rfc3986-validator==0.1.1
# via
# jsonschema
# jupyter-events
rich==13.7.1
# via flax
rouge-score==0.1.2
# via t5
rpds-py==0.18.0
# via
# jsonschema
# referencing
rsa==4.9
# via google-auth
sacrebleu==2.4.1
# via t5
safetensors==0.4.2
# via transformers
scikit-learn==1.4.1.post1
# via
# lingvo
# t5
scipy==1.13.0
# via
# jax
# jaxlib
# mesh-tensorflow
# scikit-learn
# t5
send2trash==1.8.2
# via jupyter-server
sentencepiece==0.1.99
# via
# lingvo
# praxis
# seqio
# seqio-nightly
# t5
seqio==0.0.18
# via -r requirements.in
seqio-nightly==0.0.17.dev20231010
# via
# paxml
# t5
six==1.16.0
# via
# asttokens
# astunparse
# bleach
# google-cloud-storage
# google-pasta
# jupyter-http-over-ws
# keras-preprocessing
# mesh-tensorflow
# ml-collections
# promise
# python-dateutil
# rfc3339-validator
# rouge-score
# t5
# tensorflow
sniffio==1.3.1
# via
# anyio
# httpx
soupsieve==2.5
# via beautifulsoup4
stack-data==0.6.3
# via ipython
sympy==1.12
# via lingvo
t5==0.9.4
# via paxml
tabulate==0.9.0
# via sacrebleu
tensorboard==2.9.1
# via tensorflow
tensorboard-data-server==0.6.1
# via tensorboard
tensorboard-plugin-wit==1.8.1
# via tensorboard
tensorflow==2.9.3
# via
# lingvo
# paxml
# praxis
# tensorflow-text
tensorflow-datasets==4.8.3
# via
# lingvo
# mesh-tensorflow
# paxml
# praxis
tensorflow-estimator==2.9.0
# via tensorflow
tensorflow-hub==0.16.1
# via
# lingvo
# tensorflow-text
tensorflow-io-gcs-filesystem==0.36.0
# via tensorflow
tensorflow-metadata==1.12.0
# via
# paxml
# praxis
# tensorflow-datasets
# tfds-nightly
tensorflow-text==2.9.0
# via
# lingvo
# paxml
# praxis
# seqio
# seqio-nightly
tensorstore==0.1.56
# via
# flax
# orbax-checkpoint
# paxml
termcolor==2.4.0
# via
# tensorflow
# tensorflow-datasets
# tfds-nightly
terminado==0.18.1
# via
# jupyter-server
# jupyter-server-terminals
tf-keras==2.15.0
# via tensorflow-hub
tfds-nightly==4.8.3.dev202303280045
# via
# paxml
# praxis
# seqio
# seqio-nightly
# t5
threadpoolctl==3.4.0
# via scikit-learn
tiktoken==0.6.0
# via -r requirements.in
tinycss2==1.2.1
# via nbconvert
tokenizers==0.15.2
# via transformers
toml==0.10.2
# via
# tensorflow-datasets
# tfds-nightly
tomli==2.0.1
# via jupyterlab
toolz==0.12.1
# via chex
tornado==6.4
# via
# ipykernel
# jupyter-client
# jupyter-http-over-ws
# jupyter-server
# jupyterlab
# notebook
# terminado
tqdm==4.66.2
# via
# huggingface-hub
# nltk
# tensorflow-datasets
# tfds-nightly
# transformers
traitlets==5.14.2
# via
# comm
# ipykernel
# ipython
# ipywidgets
# jupyter-client
# jupyter-console
# jupyter-core
# jupyter-events
# jupyter-server
# jupyterlab
# matplotlib-inline
# nbclient
# nbconvert
# nbformat
# qtconsole
transformers==4.39.3
# via
# -r requirements.in
# t5
typeguard==2.13.3
# via
# jaxtyping
# praxis
types-python-dateutil==2.9.0.20240316
# via arrow
typing-extensions==4.10.0
# via
# anyio
# async-lru
# chex
# clu
# etils
# fiddle
# flax
# huggingface-hub
# ipython
# orbax-checkpoint
# tensorflow
# typing-inspect
typing-inspect==0.9.0
# via dataclasses-json
tzdata==2024.1
# via pandas
uri-template==1.3.0
# via jsonschema
urllib3==2.2.1
# via requests
wcwidth==0.2.13
# via prompt-toolkit
webcolors==1.13
# via jsonschema
webencodings==0.5.1
# via
# bleach
# tinycss2
websocket-client==1.7.0
# via jupyter-server
werkzeug==3.0.2
# via tensorboard
wheel==0.43.0
# via
# astunparse
# tensorboard
widgetsnbextension==4.0.10
# via ipywidgets
wrapt==1.16.0
# via
# clu
# tensorflow
# tensorflow-datasets
# tfds-nightly
zipp==3.18.1
# via
# etils
# importlib-metadata
# The following packages are considered to be unsafe in a requirements file:
setuptools==69.2.0
# via
# tensorboard
# tensorflow