From a430ac2334ff99e89180cf1ecc6b37fcd8e35082 Mon Sep 17 00:00:00 2001 From: Amog Kamsetty Date: Thu, 11 Feb 2021 15:43:09 -0800 Subject: [PATCH] [Tune] Revert Pinning Tune Dependencies (#14059) * remove lockfiles * docker * remove constraint file * fix --- .github/dependabot.yml | 12 - ci/travis/install-dependencies.sh | 10 +- docker/ray-ml/Dockerfile | 3 +- python/{requirements => }/requirements.txt | 0 .../linux-py3.6-requirements_tune.txt | 885 ------------------ .../linux-py3.7-requirements_tune.txt | 877 ----------------- .../linux-py3.8-requirements_tune.txt | 864 ----------------- ...irements_tune.in => requirements_tune.txt} | 3 - 8 files changed, 3 insertions(+), 2651 deletions(-) rename python/{requirements => }/requirements.txt (100%) delete mode 100644 python/requirements/linux-py3.6-requirements_tune.txt delete mode 100644 python/requirements/linux-py3.7-requirements_tune.txt delete mode 100644 python/requirements/linux-py3.8-requirements_tune.txt rename python/requirements/{requirements_tune.in => requirements_tune.txt} (92%) diff --git a/.github/dependabot.yml b/.github/dependabot.yml index 3074b6042..9f8b6b7a7 100644 --- a/.github/dependabot.yml +++ b/.github/dependabot.yml @@ -21,15 +21,3 @@ updates: open-pull-requests-limit: 3 reviewers: - "ray-project/ray-tune" - ignore: - # Ignore pinned dependencies in requirements.txt. - - dependency-name: aiohttp - - dependency-name: msgpack - - dependency-name: opencv-python-headless - - dependency-name: pandas - - dependency-name: scipy - - dependency-name: pydantic - - dependency-name: cython - - dependency-name: llmvlite - - dependency-name: pytest - - dependency-name: scikit-learn diff --git a/ci/travis/install-dependencies.sh b/ci/travis/install-dependencies.sh index 498aaf419..ea4691723 100755 --- a/ci/travis/install-dependencies.sh +++ b/ci/travis/install-dependencies.sh @@ -293,7 +293,7 @@ install_dependencies() { local status="0"; local errmsg=""; for _ in {1..3}; do - errmsg=$(CC=gcc pip install -r "${WORKSPACE_DIR}"/python/requirements/requirements.txt 2>&1) && break; + errmsg=$(CC=gcc pip install -r "${WORKSPACE_DIR}"/python/requirements.txt 2>&1) && break; status=$errmsg && echo "'pip install ...' failed, will retry after n seconds!" && sleep 30; done if [ "$status" != "0" ]; then @@ -324,13 +324,7 @@ install_dependencies() { # Additional Tune/SGD/Doc test dependencies. if [ "${TUNE_TESTING-}" = 1 ] || [ "${SGD_TESTING-}" = 1 ] || [ "${DOC_TESTING-}" = 1 ]; then - if [ -n "${PYTHON-}" ] && [ "${PYTHON-}" = "3.7" ]; then - # Install Python 3.7 dependencies if 3.7 is set. - pip install -r "${WORKSPACE_DIR}"/python/requirements/linux-py3.7-requirements_tune.txt - else - # Else default to Python 3.6. - pip install -r "${WORKSPACE_DIR}"/python/requirements/linux-py3.6-requirements_tune.txt - fi + pip install -r "${WORKSPACE_DIR}"/python/requirements/requirements_tune.txt fi # For Tune, install upstream dependencies. diff --git a/docker/ray-ml/Dockerfile b/docker/ray-ml/Dockerfile index 908351df1..2c5f37540 100644 --- a/docker/ray-ml/Dockerfile +++ b/docker/ray-ml/Dockerfile @@ -6,8 +6,7 @@ ARG PYTHON_MINOR_VERSION=7 COPY requirements.txt ./ COPY requirements_ml_docker.txt ./ COPY requirements_rllib.txt ./ -# Docker image uses Python 3.7 -COPY linux-py3."$PYTHON_MINOR_VERSION"-requirements_tune.txt ./requirements_tune.txt +COPY requirements_tune.txt ./requirements_tune.txt RUN sudo apt-get update \ && sudo apt-get install -y gcc \ diff --git a/python/requirements/requirements.txt b/python/requirements.txt similarity index 100% rename from python/requirements/requirements.txt rename to python/requirements.txt diff --git a/python/requirements/linux-py3.6-requirements_tune.txt b/python/requirements/linux-py3.6-requirements_tune.txt deleted file mode 100644 index 1bafdac84..000000000 --- a/python/requirements/linux-py3.6-requirements_tune.txt +++ /dev/null @@ -1,885 +0,0 @@ -# -# This file is autogenerated by pip-compile -# To update, run: -# -# pip-compile requirements_tune.in -# ---find-links https://download.pytorch.org/whl/torch_stable.html - -absl-py==0.11.0 - # via tensorboard -alembic==1.4.1 - # via - # mlflow - # optuna -argon2-cffi==20.1.0 - # via notebook -async-generator==1.10 - # via nbclient -atari-py==0.2.6 - # via - # -c ../requirements.txt - # gym -attrs==20.3.0 - # via - # cmd2 - # jsonschema - # pytest -autocfg==0.0.6 - # via gluoncv -autogluon.core==0.0.16b20210125 - # via gluoncv -autograd==1.3 - # via autogluon.core -ax-platform==0.1.9 ; python_version < "3.7" - # via -r requirements_tune.in -azure-core==1.10.0 - # via azure-storage-blob -azure-storage-blob==12.7.1 - # via mlflow -backcall==0.2.0 - # via ipython -bayesian-optimization==1.2.0 - # via - # -r requirements_tune.in - # nevergrad -bcrypt==3.2.0 - # via paramiko -bleach==3.2.2 - # via nbconvert -bokeh==2.2.3 - # via dask -boto3==1.16.58 - # via - # -c ../requirements.txt - # autogluon.core - # smart-open -botocore==1.19.58 - # via - # boto3 - # s3transfer -botorch==0.2.1 - # via ax-platform -cached-property==1.5.2 - # via h5py -cachetools==4.2.0 - # via google-auth -certifi==2020.12.5 - # via - # kubernetes - # msrest - # requests - # sentry-sdk -cffi==1.14.4 - # via - # argon2-cffi - # bcrypt - # cryptography - # pynacl -chardet==4.0.0 - # via requests -click==7.1.2 - # via - # -c ../requirements.txt - # databricks-cli - # distributed - # flask - # mlflow - # sacremoses - # wandb -cliff==3.6.0 - # via optuna -cloudpickle==1.6.0 - # via - # dask - # distributed - # gym - # hyperopt - # mlflow - # tensorflow-probability -cma==3.0.3 - # via nevergrad -cmaes==0.7.0 - # via optuna -cmd2==1.4.0 - # via cliff -colorama==0.4.4 - # via - # -c ../requirements.txt - # cmd2 -colorlog==4.7.2 - # via optuna -configparser==5.0.1 - # via wandb -configspace==0.4.10 - # via - # -r requirements_tune.in - # autogluon.core - # hpbandster -contextvars==2.4 - # via distributed -cryptography==3.3.1 - # via - # azure-storage-blob - # paramiko -cycler==0.10.0 - # via matplotlib -cython==0.29.0 - # via - # -c ../requirements.txt - # autogluon.core - # configspace -dask[complete]==2021.1.0 - # via - # -c ../requirements.txt - # autogluon.core - # distributed -databricks-cli==0.14.1 - # via mlflow -dataclasses==0.8 ; python_version < "3.7" - # via - # -c ../requirements.txt - # autocfg - # torch - # transformers -decorator==4.4.2 - # via - # ipython - # networkx - # paramz - # tensorflow-probability - # traitlets -decord==0.4.2 - # via gluoncv -defusedxml==0.6.0 - # via nbconvert -dill==0.3.3 - # via autogluon.core -distributed==2021.1.1 - # via - # autogluon.core - # dask -dm-tree==0.1.5 - # via - # -c ../requirements.txt - # tensorflow-probability -docker-pycreds==0.4.0 - # via wandb -docker==4.4.1 - # via mlflow -dragonfly-opt==0.1.6 - # via -r requirements_tune.in -entrypoints==0.3 - # via - # mlflow - # nbconvert -filelock==3.0.12 - # via - # -c ../requirements.txt - # transformers -flask==1.1.2 - # via - # -c ../requirements.txt - # mlflow - # prometheus-flask-exporter -fsspec==0.8.5 - # via - # dask - # pytorch-lightning -future==0.18.2 - # via - # autograd - # dragonfly-opt - # hyperopt - # pyglet - # pytorch-lightning - # torch -gast==0.4.0 - # via tensorflow-probability -gitdb==4.0.5 - # via gitpython -gitpython==3.1.12 - # via - # mlflow - # wandb -gluoncv==0.9.1 - # via -r requirements_tune.in -google-auth-oauthlib==0.4.2 - # via tensorboard -google-auth==1.24.0 - # via - # google-auth-oauthlib - # kubernetes - # tensorboard -gpy==1.9.9 - # via -r requirements_tune.in -gpytorch==1.3.1 - # via botorch -graphviz==0.8.4 - # via - # autogluon.core - # mxnet -grpcio==1.35.0 - # via - # -c ../requirements.txt - # tensorboard -gunicorn==20.0.4 - # via mlflow -gym[atari]==0.18.0 - # via - # -c ../requirements.txt - # -r requirements_tune.in -h5py==3.1.0 - # via - # -r requirements_tune.in - # keras -heapdict==1.0.1 - # via zict -hpbandster==0.7.4 - # via -r requirements_tune.in -hyperopt==0.2.5 - # via -r requirements_tune.in -idna==2.10 - # via requests -immutables==0.14 - # via contextvars -importlib-metadata==3.4.0 - # via - # cmd2 - # jsonschema - # markdown - # pluggy - # pytest - # stevedore -ipykernel==5.4.3 - # via - # ipywidgets - # jupyter - # jupyter-console - # notebook - # qtconsole -ipython-genutils==0.2.0 - # via - # nbformat - # notebook - # qtconsole - # traitlets -ipython==7.16.1 - # via - # ipykernel - # ipywidgets - # jupyter-console -ipywidgets==7.6.3 - # via jupyter -isodate==0.6.0 - # via msrest -itsdangerous==1.1.0 - # via flask -jedi==0.18.0 - # via ipython -jinja2==2.11.2 - # via - # ax-platform - # bokeh - # flask - # nbconvert - # notebook -jmespath==0.10.0 - # via - # boto3 - # botocore -joblib==1.0.0 - # via - # optuna - # sacremoses - # scikit-learn - # scikit-optimize -jsonschema==3.2.0 - # via - # -c ../requirements.txt - # nbformat -jupyter-client==6.1.11 - # via - # ipykernel - # jupyter-console - # nbclient - # notebook - # qtconsole -jupyter-console==6.2.0 - # via jupyter -jupyter-core==4.7.0 - # via - # jupyter-client - # nbconvert - # nbformat - # notebook - # qtconsole -jupyter==1.0.0 - # via -r requirements_tune.in -jupyterlab-pygments==0.1.2 - # via nbconvert -jupyterlab-widgets==1.0.0 - # via ipywidgets -keras==2.4.3 - # via -r requirements_tune.in -kiwisolver==1.3.1 - # via matplotlib -kubernetes==12.0.1 - # via - # -c ../requirements.txt - # -r requirements_tune.in -lightgbm==3.1.1 - # via -r requirements_tune.in -locket==0.2.1 - # via partd -mako==1.1.4 - # via alembic -markdown==3.3.3 - # via tensorboard -markupsafe==1.1.1 - # via - # jinja2 - # mako -matplotlib==3.3.3 - # via - # -r requirements_tune.in - # autogluon.core - # gluoncv - # zoopt -mistune==0.8.4 - # via nbconvert -mlflow==1.13.1 - # via -r requirements_tune.in -more-itertools==8.6.0 - # via pytest -msgpack==1.0.2 - # via - # -c ../requirements.txt - # distributed -msrest==0.6.19 - # via azure-storage-blob -mxnet==1.7.0.post1 - # via -r requirements_tune.in -nbclient==0.5.1 - # via nbconvert -nbconvert==6.0.7 - # via - # jupyter - # notebook -nbformat==5.1.2 - # via - # ipywidgets - # nbclient - # nbconvert - # notebook -nest-asyncio==1.4.3 - # via nbclient -netifaces==0.10.9 - # via hpbandster -networkx==2.5 - # via - # -c ../requirements.txt - # hyperopt -nevergrad==0.4.2.post5 - # via -r requirements_tune.in -notebook==6.2.0 - # via - # jupyter - # widgetsnbextension -numpy==1.19.5 - # via - # -c ../requirements.txt - # atari-py - # autogluon.core - # autograd - # bayesian-optimization - # bokeh - # cma - # cmaes - # configspace - # dask - # decord - # dragonfly-opt - # gluoncv - # gpy - # gym - # h5py - # hpbandster - # hyperopt - # keras - # lightgbm - # matplotlib - # mlflow - # mxnet - # nevergrad - # opencv-python - # optuna - # pandas - # paramz - # patsy - # pytorch-lightning - # scikit-learn - # scikit-optimize - # scipy - # statsmodels - # tensorboard - # tensorboardx - # tensorflow-probability - # torch - # torchvision - # transformers - # xgboost - # zoopt -oauthlib==3.1.0 - # via requests-oauthlib -opencv-python==4.5.1.48 - # via - # gluoncv - # gym -optuna==2.4.0 - # via -r requirements_tune.in -packaging==20.8 - # via - # bleach - # bokeh - # optuna - # pytest - # transformers -pandas==1.0.5 - # via - # -c ../requirements.txt - # autogluon.core - # ax-platform - # dask - # gluoncv - # mlflow - # statsmodels -pandocfilters==1.4.3 - # via nbconvert -paramiko==2.7.2 - # via autogluon.core -paramz==0.9.5 - # via gpy -parso==0.8.1 - # via jedi -partd==1.1.0 - # via dask -patsy==0.5.1 - # via statsmodels -pbr==5.5.1 - # via - # cliff - # stevedore -pexpect==4.8.0 - # via - # -c ../requirements.txt - # ipython -pickleshare==0.7.5 - # via ipython -pillow==7.2.0 ; platform_system != "Windows" - # via - # -c ../requirements.txt - # bokeh - # gluoncv - # gym - # matplotlib - # torchvision -plotly==4.14.3 - # via ax-platform -pluggy==0.13.1 - # via pytest -portalocker==2.0.0 - # via gluoncv -prettytable==0.7.2 - # via cliff -prometheus-client==0.9.0 - # via - # -c ../requirements.txt - # notebook - # prometheus-flask-exporter -prometheus-flask-exporter==0.18.1 - # via mlflow -promise==2.3 - # via wandb -prompt-toolkit==3.0.13 - # via - # ipython - # jupyter-console -protobuf==3.14.0 - # via - # -c ../requirements.txt - # mlflow - # tensorboard - # tensorboardx - # wandb -psutil==5.8.0 - # via - # distributed - # wandb -ptyprocess==0.7.0 - # via - # pexpect - # terminado -py==1.10.0 - # via pytest -pyaml==20.4.0 - # via scikit-optimize -pyasn1-modules==0.2.8 - # via google-auth -pyasn1==0.4.8 - # via - # pyasn1-modules - # rsa -pycparser==2.20 - # via cffi -pyglet==1.5.0 - # via gym -pygments==2.7.4 - # via - # -c ../requirements.txt - # ipython - # jupyter-console - # jupyterlab-pygments - # nbconvert - # qtconsole -pynacl==1.4.0 - # via paramiko -pyparsing==2.4.7 - # via - # cliff - # configspace - # matplotlib - # packaging -pyperclip==1.8.1 - # via cmd2 -pyro4==4.80 - # via hpbandster -pyrsistent==0.17.3 - # via jsonschema -pytest-remotedata==0.3.2 - # via -r requirements_tune.in -pytest==5.4.3 - # via - # -c ../requirements.txt - # autogluon.core - # pytest-remotedata -python-dateutil==2.8.1 - # via - # alembic - # bokeh - # botocore - # jupyter-client - # kubernetes - # matplotlib - # mlflow - # pandas - # wandb -python-editor==1.0.4 - # via alembic -pytorch-lightning-bolts==0.2.5 - # via -r requirements_tune.in -pytorch-lightning==1.0.3 - # via - # -r requirements_tune.in - # pytorch-lightning-bolts -pytz==2020.5 - # via pandas -pyyaml==5.4.1 - # via - # -c ../requirements.txt - # autocfg - # bokeh - # cliff - # dask - # distributed - # gluoncv - # keras - # kubernetes - # mlflow - # pyaml - # pytorch-lightning - # wandb - # yacs -pyzmq==21.0.1 - # via - # jupyter-client - # notebook - # qtconsole -qtconsole==5.0.2 - # via jupyter -qtpy==1.9.0 - # via qtconsole -querystring-parser==1.2.4 - # via mlflow -regex==2020.11.13 - # via - # sacremoses - # transformers -requests-oauthlib==1.3.0 - # via - # google-auth-oauthlib - # kubernetes - # msrest -requests==2.25.1 - # via - # -c ../requirements.txt - # autogluon.core - # azure-core - # databricks-cli - # docker - # gluoncv - # kubernetes - # mlflow - # msrest - # mxnet - # requests-oauthlib - # sigopt - # tensorboard - # transformers - # wandb -retrying==1.3.3 - # via plotly -rsa==4.7 - # via google-auth -s3transfer==0.3.4 - # via boto3 -sacremoses==0.0.43 - # via transformers -scikit-learn==0.22.2 - # via - # -c ../requirements.txt - # -r requirements_tune.in - # autogluon.core - # ax-platform - # bayesian-optimization - # gpytorch - # lightgbm - # scikit-optimize -scikit-optimize==0.8.1 - # via - # -r requirements_tune.in - # autogluon.core -scipy==1.4.1 - # via - # -c ../requirements.txt - # autogluon.core - # ax-platform - # bayesian-optimization - # botorch - # dragonfly-opt - # gluoncv - # gpy - # gpytorch - # gym - # hpbandster - # hyperopt - # keras - # lightgbm - # optuna - # paramz - # scikit-learn - # scikit-optimize - # statsmodels - # xgboost -send2trash==1.5.0 - # via notebook -sentencepiece==0.1.95 - # via transformers -sentry-sdk==0.19.5 - # via wandb -serpent==1.30.2 - # via - # hpbandster - # pyro4 -shortuuid==1.0.1 - # via wandb -sigopt==5.7.0 - # via -r requirements_tune.in -six==1.15.0 - # via - # absl-py - # argon2-cffi - # atari-py - # azure-core - # bcrypt - # bleach - # cryptography - # cycler - # databricks-cli - # dm-tree - # docker - # docker-pycreds - # dragonfly-opt - # google-auth - # gpy - # grpcio - # hyperopt - # isodate - # jsonschema - # kubernetes - # mlflow - # paramz - # patsy - # plotly - # promise - # protobuf - # pynacl - # pytest-remotedata - # python-dateutil - # querystring-parser - # retrying - # sacremoses - # tensorboard - # tensorboardx - # tensorflow-probability - # traitlets - # wandb - # websocket-client -smart_open[s3]==4.1.2 - # via - # -c ../requirements.txt - # -r requirements_tune.in -smmap==3.0.4 - # via gitdb -sortedcontainers==2.3.0 - # via distributed -sqlalchemy==1.3.22 - # via - # alembic - # mlflow - # optuna -sqlparse==0.4.1 - # via mlflow -statsmodels==0.12.1 - # via hpbandster -stevedore==3.3.0 - # via cliff -subprocess32==3.5.4 - # via wandb -tabulate==0.8.7 - # via - # -c ../requirements.txt - # databricks-cli -tblib==1.7.0 - # via distributed -tensorboard-plugin-wit==1.8.0 - # via tensorboard -tensorboard==2.4.1 - # via pytorch-lightning -tensorboardx==2.1 - # via - # -c ../requirements.txt - # gluoncv -tensorflow-probability==0.11.1 - # via -r requirements_tune.in -terminado==0.9.2 - # via notebook -testpath==0.4.4 - # via nbconvert -timm==0.3.2 - # via -r requirements_tune.in -tokenizers==0.8.1.rc2 - # via transformers -toolz==0.11.1 - # via - # dask - # distributed - # partd -torch==1.7.0+cpu ; sys_platform != "darwin" - # via - # -r requirements_tune.in - # botorch - # gpytorch - # pytorch-lightning - # pytorch-lightning-bolts - # timm - # torchvision -torchvision==0.8.1+cpu ; sys_platform != "darwin" - # via - # -r requirements_tune.in - # timm -tornado==6.1 - # via - # autogluon.core - # bokeh - # distributed - # ipykernel - # jupyter-client - # notebook - # terminado -tqdm==4.56.0 - # via - # autogluon.core - # gluoncv - # hyperopt - # optuna - # pytorch-lightning - # sacremoses - # transformers -traitlets==4.3.3 - # via - # ipykernel - # ipython - # ipywidgets - # jupyter-client - # jupyter-core - # nbclient - # nbconvert - # nbformat - # notebook - # qtconsole -transformers==3.1 - # via -r requirements_tune.in -typing-extensions==3.7.4.3 - # via - # bokeh - # importlib-metadata - # nevergrad - # torch -typing==3.7.4.3 - # via configspace -urllib3==1.26.2 - # via - # botocore - # kubernetes - # requests - # sentry-sdk -wandb==0.10.12 - # via -r requirements_tune.in -watchdog==1.0.2 - # via wandb -wcwidth==0.2.5 - # via - # cmd2 - # prompt-toolkit - # pytest -webencodings==0.5.1 - # via bleach -websocket-client==0.57.0 - # via - # docker - # kubernetes -werkzeug==1.0.1 - # via - # -c ../requirements.txt - # flask - # tensorboard -wheel==0.36.2 - # via - # lightgbm - # tensorboard -widgetsnbextension==3.5.1 - # via ipywidgets -xgboost==1.3.0.post0 - # via -r requirements_tune.in -yacs==0.1.8 - # via gluoncv -zict==2.0.0 - # via distributed -zipp==3.4.0 - # via importlib-metadata -zoopt==0.4.1 - # via -r requirements_tune.in - -# The following packages are considered to be unsafe in a requirements file: -# setuptools diff --git a/python/requirements/linux-py3.7-requirements_tune.txt b/python/requirements/linux-py3.7-requirements_tune.txt deleted file mode 100644 index 920222b45..000000000 --- a/python/requirements/linux-py3.7-requirements_tune.txt +++ /dev/null @@ -1,877 +0,0 @@ -# -# This file is autogenerated by pip-compile -# To update, run: -# -# pip-compile requirements_tune.in -# ---find-links https://download.pytorch.org/whl/torch_stable.html - -absl-py==0.11.0 - # via tensorboard -alembic==1.4.1 - # via - # mlflow - # optuna -argon2-cffi==20.1.0 - # via notebook -async-generator==1.10 - # via nbclient -atari-py==0.2.6 - # via - # -c ../requirements.txt - # gym -attrs==20.3.0 - # via - # cmd2 - # jsonschema - # pytest -autocfg==0.0.6 - # via gluoncv -autogluon.core==0.0.16b20210125 - # via gluoncv -autograd==1.3 - # via autogluon.core -ax-platform==0.1.19 ; python_version >= "3.7" - # via -r requirements_tune.in -azure-core==1.10.0 - # via azure-storage-blob -azure-storage-blob==12.7.1 - # via mlflow -backcall==0.2.0 - # via ipython -bayesian-optimization==1.2.0 - # via - # -r requirements_tune.in - # nevergrad -bcrypt==3.2.0 - # via paramiko -bleach==3.2.2 - # via nbconvert -bokeh==2.2.3 - # via dask -boto3==1.16.58 - # via - # -c ../requirements.txt - # autogluon.core - # smart-open -botocore==1.19.58 - # via - # boto3 - # s3transfer -botorch==0.3.3 - # via ax-platform -cached-property==1.5.2 - # via h5py -cachetools==4.2.0 - # via google-auth -certifi==2020.12.5 - # via - # kubernetes - # msrest - # requests - # sentry-sdk -cffi==1.14.4 - # via - # argon2-cffi - # bcrypt - # cryptography - # pynacl -chardet==4.0.0 - # via requests -click==7.1.2 - # via - # -c ../requirements.txt - # databricks-cli - # distributed - # flask - # mlflow - # sacremoses - # wandb -cliff==3.6.0 - # via optuna -cloudpickle==1.6.0 - # via - # dask - # distributed - # gym - # hyperopt - # mlflow - # tensorflow-probability -cma==3.0.3 - # via nevergrad -cmaes==0.7.0 - # via optuna -cmd2==1.4.0 - # via cliff -colorama==0.4.4 - # via - # -c ../requirements.txt - # cmd2 -colorlog==4.7.2 - # via optuna -configparser==5.0.1 - # via wandb -configspace==0.4.10 - # via - # -r requirements_tune.in - # autogluon.core - # hpbandster -cryptography==3.3.1 - # via - # azure-storage-blob - # paramiko -cycler==0.10.0 - # via matplotlib -cython==0.29.0 - # via - # -c ../requirements.txt - # autogluon.core - # configspace -dask[complete]==2021.1.0 - # via - # -c ../requirements.txt - # autogluon.core - # distributed -databricks-cli==0.14.1 - # via mlflow -dataclasses==0.6 - # via torch -decorator==4.4.2 - # via - # ipython - # networkx - # paramz - # tensorflow-probability -decord==0.4.2 - # via gluoncv -defusedxml==0.6.0 - # via nbconvert -dill==0.3.3 - # via autogluon.core -distributed==2021.1.1 - # via - # autogluon.core - # dask -dm-tree==0.1.5 - # via - # -c ../requirements.txt - # tensorflow-probability -docker-pycreds==0.4.0 - # via wandb -docker==4.4.1 - # via mlflow -dragonfly-opt==0.1.6 - # via -r requirements_tune.in -entrypoints==0.3 - # via - # mlflow - # nbconvert -filelock==3.0.12 - # via - # -c ../requirements.txt - # transformers -flask==1.1.2 - # via - # -c ../requirements.txt - # mlflow - # prometheus-flask-exporter -fsspec==0.8.5 - # via - # dask - # pytorch-lightning -future==0.18.2 - # via - # autograd - # dragonfly-opt - # hyperopt - # pyglet - # pytorch-lightning - # torch -gast==0.4.0 - # via tensorflow-probability -gitdb==4.0.5 - # via gitpython -gitpython==3.1.12 - # via - # mlflow - # wandb -gluoncv==0.9.1 - # via -r requirements_tune.in -google-auth-oauthlib==0.4.2 - # via tensorboard -google-auth==1.24.0 - # via - # google-auth-oauthlib - # kubernetes - # tensorboard -gpy==1.9.9 - # via -r requirements_tune.in -gpytorch==1.3.1 - # via botorch -graphviz==0.8.4 - # via - # autogluon.core - # mxnet -grpcio==1.35.0 - # via - # -c ../requirements.txt - # tensorboard -gunicorn==20.0.4 - # via mlflow -gym[atari]==0.18.0 - # via - # -c ../requirements.txt - # -r requirements_tune.in -h5py==3.1.0 - # via - # -r requirements_tune.in - # keras -heapdict==1.0.1 - # via zict -hpbandster==0.7.4 - # via -r requirements_tune.in -hyperopt==0.2.5 - # via -r requirements_tune.in -idna==2.10 - # via requests -importlib-metadata==3.4.0 - # via - # cmd2 - # jsonschema - # markdown - # pluggy - # pytest - # stevedore -ipykernel==5.4.3 - # via - # ipywidgets - # jupyter - # jupyter-console - # notebook - # qtconsole -ipython-genutils==0.2.0 - # via - # nbformat - # notebook - # qtconsole - # traitlets -ipython==7.19.0 - # via - # ipykernel - # ipywidgets - # jupyter-console -ipywidgets==7.6.3 - # via jupyter -isodate==0.6.0 - # via msrest -itsdangerous==1.1.0 - # via flask -jedi==0.18.0 - # via ipython -jinja2==2.11.2 - # via - # ax-platform - # bokeh - # flask - # nbconvert - # notebook -jmespath==0.10.0 - # via - # boto3 - # botocore -joblib==1.0.0 - # via - # optuna - # sacremoses - # scikit-learn - # scikit-optimize -jsonschema==3.2.0 - # via - # -c ../requirements.txt - # nbformat -jupyter-client==6.1.11 - # via - # ipykernel - # jupyter-console - # nbclient - # notebook - # qtconsole -jupyter-console==6.2.0 - # via jupyter -jupyter-core==4.7.0 - # via - # jupyter-client - # nbconvert - # nbformat - # notebook - # qtconsole -jupyter==1.0.0 - # via -r requirements_tune.in -jupyterlab-pygments==0.1.2 - # via nbconvert -jupyterlab-widgets==1.0.0 - # via ipywidgets -keras==2.4.3 - # via -r requirements_tune.in -kiwisolver==1.3.1 - # via matplotlib -kubernetes==12.0.1 - # via - # -c ../requirements.txt - # -r requirements_tune.in -lightgbm==3.1.1 - # via -r requirements_tune.in -locket==0.2.1 - # via partd -mako==1.1.4 - # via alembic -markdown==3.3.3 - # via tensorboard -markupsafe==1.1.1 - # via - # jinja2 - # mako -matplotlib==3.3.3 - # via - # -r requirements_tune.in - # autogluon.core - # gluoncv - # zoopt -mistune==0.8.4 - # via nbconvert -mlflow==1.13.1 - # via -r requirements_tune.in -more-itertools==8.6.0 - # via pytest -msgpack==1.0.2 - # via - # -c ../requirements.txt - # distributed -msrest==0.6.19 - # via azure-storage-blob -mxnet==1.7.0.post1 - # via -r requirements_tune.in -nbclient==0.5.1 - # via nbconvert -nbconvert==6.0.7 - # via - # jupyter - # notebook -nbformat==5.1.2 - # via - # ipywidgets - # nbclient - # nbconvert - # notebook -nest-asyncio==1.4.3 - # via nbclient -netifaces==0.10.9 - # via hpbandster -networkx==2.5 - # via - # -c ../requirements.txt - # hyperopt -nevergrad==0.4.2.post5 - # via -r requirements_tune.in -notebook==6.2.0 - # via - # jupyter - # widgetsnbextension -numpy==1.19.5 - # via - # -c ../requirements.txt - # atari-py - # autogluon.core - # autograd - # bayesian-optimization - # bokeh - # cma - # cmaes - # configspace - # dask - # decord - # dragonfly-opt - # gluoncv - # gpy - # gym - # h5py - # hpbandster - # hyperopt - # keras - # lightgbm - # matplotlib - # mlflow - # mxnet - # nevergrad - # opencv-python - # optuna - # pandas - # paramz - # patsy - # pytorch-lightning - # scikit-learn - # scikit-optimize - # scipy - # statsmodels - # tensorboard - # tensorboardx - # tensorflow-probability - # torch - # torchvision - # transformers - # xgboost - # zoopt -oauthlib==3.1.0 - # via requests-oauthlib -opencv-python==4.5.1.48 - # via - # gluoncv - # gym -optuna==2.4.0 - # via -r requirements_tune.in -packaging==20.8 - # via - # bleach - # bokeh - # optuna - # pytest - # transformers -pandas==1.0.5 - # via - # -c ../requirements.txt - # autogluon.core - # ax-platform - # dask - # gluoncv - # mlflow - # statsmodels -pandocfilters==1.4.3 - # via nbconvert -paramiko==2.7.2 - # via autogluon.core -paramz==0.9.5 - # via gpy -parso==0.8.1 - # via jedi -partd==1.1.0 - # via dask -patsy==0.5.1 - # via statsmodels -pbr==5.5.1 - # via - # cliff - # stevedore -pexpect==4.8.0 - # via - # -c ../requirements.txt - # ipython -pickleshare==0.7.5 - # via ipython -pillow==7.2.0 ; platform_system != "Windows" - # via - # -c ../requirements.txt - # bokeh - # gluoncv - # gym - # matplotlib - # torchvision -plotly==4.14.3 - # via ax-platform -pluggy==0.13.1 - # via pytest -portalocker==2.0.0 - # via gluoncv -prettytable==0.7.2 - # via cliff -prometheus-client==0.9.0 - # via - # -c ../requirements.txt - # notebook - # prometheus-flask-exporter -prometheus-flask-exporter==0.18.1 - # via mlflow -promise==2.3 - # via wandb -prompt-toolkit==3.0.13 - # via - # ipython - # jupyter-console -protobuf==3.14.0 - # via - # -c ../requirements.txt - # mlflow - # tensorboard - # tensorboardx - # wandb -psutil==5.8.0 - # via - # distributed - # wandb -ptyprocess==0.7.0 - # via - # pexpect - # terminado -py==1.10.0 - # via pytest -pyaml==20.4.0 - # via scikit-optimize -pyasn1-modules==0.2.8 - # via google-auth -pyasn1==0.4.8 - # via - # pyasn1-modules - # rsa -pycparser==2.20 - # via cffi -pyglet==1.5.0 - # via gym -pygments==2.7.4 - # via - # -c ../requirements.txt - # ipython - # jupyter-console - # jupyterlab-pygments - # nbconvert - # qtconsole -pynacl==1.4.0 - # via paramiko -pyparsing==2.4.7 - # via - # cliff - # configspace - # matplotlib - # packaging -pyperclip==1.8.1 - # via cmd2 -pyro4==4.80 - # via hpbandster -pyrsistent==0.17.3 - # via jsonschema -pytest-remotedata==0.3.2 - # via -r requirements_tune.in -pytest==5.4.3 - # via - # -c ../requirements.txt - # autogluon.core - # pytest-remotedata -python-dateutil==2.8.1 - # via - # alembic - # bokeh - # botocore - # jupyter-client - # kubernetes - # matplotlib - # mlflow - # pandas - # wandb -python-editor==1.0.4 - # via alembic -pytorch-lightning-bolts==0.2.5 - # via -r requirements_tune.in -pytorch-lightning==1.0.3 - # via - # -r requirements_tune.in - # pytorch-lightning-bolts -pytz==2020.5 - # via pandas -pyyaml==5.4.1 - # via - # -c ../requirements.txt - # autocfg - # bokeh - # cliff - # dask - # distributed - # gluoncv - # keras - # kubernetes - # mlflow - # pyaml - # pytorch-lightning - # wandb - # yacs -pyzmq==21.0.1 - # via - # jupyter-client - # notebook - # qtconsole -qtconsole==5.0.2 - # via jupyter -qtpy==1.9.0 - # via qtconsole -querystring-parser==1.2.4 - # via mlflow -regex==2020.11.13 - # via - # sacremoses - # transformers -requests-oauthlib==1.3.0 - # via - # google-auth-oauthlib - # kubernetes - # msrest -requests==2.25.1 - # via - # -c ../requirements.txt - # autogluon.core - # azure-core - # databricks-cli - # docker - # gluoncv - # kubernetes - # mlflow - # msrest - # mxnet - # requests-oauthlib - # sigopt - # tensorboard - # transformers - # wandb -retrying==1.3.3 - # via plotly -rsa==4.7 - # via google-auth -s3transfer==0.3.4 - # via boto3 -sacremoses==0.0.43 - # via transformers -scikit-learn==0.22.2 - # via - # -c ../requirements.txt - # -r requirements_tune.in - # autogluon.core - # ax-platform - # bayesian-optimization - # gpytorch - # lightgbm - # scikit-optimize -scikit-optimize==0.8.1 - # via - # -r requirements_tune.in - # autogluon.core -scipy==1.4.1 - # via - # -c ../requirements.txt - # autogluon.core - # ax-platform - # bayesian-optimization - # botorch - # dragonfly-opt - # gluoncv - # gpy - # gpytorch - # gym - # hpbandster - # hyperopt - # keras - # lightgbm - # optuna - # paramz - # scikit-learn - # scikit-optimize - # statsmodels - # xgboost -send2trash==1.5.0 - # via notebook -sentencepiece==0.1.95 - # via transformers -sentry-sdk==0.19.5 - # via wandb -serpent==1.30.2 - # via - # hpbandster - # pyro4 -shortuuid==1.0.1 - # via wandb -sigopt==5.7.0 - # via -r requirements_tune.in -six==1.15.0 - # via - # absl-py - # argon2-cffi - # atari-py - # azure-core - # bcrypt - # bleach - # cryptography - # cycler - # databricks-cli - # dm-tree - # docker - # docker-pycreds - # dragonfly-opt - # google-auth - # gpy - # grpcio - # hyperopt - # isodate - # jsonschema - # kubernetes - # mlflow - # paramz - # patsy - # plotly - # promise - # protobuf - # pynacl - # pytest-remotedata - # python-dateutil - # querystring-parser - # retrying - # sacremoses - # tensorboard - # tensorboardx - # tensorflow-probability - # wandb - # websocket-client -smart_open[s3]==4.1.2 - # via - # -c ../requirements.txt - # -r requirements_tune.in -smmap==3.0.4 - # via gitdb -sortedcontainers==2.3.0 - # via distributed -sqlalchemy==1.3.22 - # via - # alembic - # mlflow - # optuna -sqlparse==0.4.1 - # via mlflow -statsmodels==0.12.1 - # via hpbandster -stevedore==3.3.0 - # via cliff -subprocess32==3.5.4 - # via wandb -tabulate==0.8.7 - # via - # -c ../requirements.txt - # databricks-cli -tblib==1.7.0 - # via distributed -tensorboard-plugin-wit==1.8.0 - # via tensorboard -tensorboard==2.4.1 - # via pytorch-lightning -tensorboardx==2.1 - # via - # -c ../requirements.txt - # gluoncv -tensorflow-probability==0.11.1 - # via -r requirements_tune.in -terminado==0.9.2 - # via notebook -testpath==0.4.4 - # via nbconvert -timm==0.3.2 - # via -r requirements_tune.in -tokenizers==0.8.1.rc2 - # via transformers -toolz==0.11.1 - # via - # dask - # distributed - # partd -torch==1.7.0+cpu ; sys_platform != "darwin" - # via - # -r requirements_tune.in - # botorch - # gpytorch - # pytorch-lightning - # pytorch-lightning-bolts - # timm - # torchvision -torchvision==0.8.1+cpu ; sys_platform != "darwin" - # via - # -r requirements_tune.in - # timm -tornado==6.1 - # via - # autogluon.core - # bokeh - # distributed - # ipykernel - # jupyter-client - # notebook - # terminado -tqdm==4.56.0 - # via - # autogluon.core - # gluoncv - # hyperopt - # optuna - # pytorch-lightning - # sacremoses - # transformers -traitlets==5.0.5 - # via - # ipykernel - # ipython - # ipywidgets - # jupyter-client - # jupyter-core - # nbclient - # nbconvert - # nbformat - # notebook - # qtconsole -transformers==3.1 - # via -r requirements_tune.in -typeguard==2.10.0 - # via ax-platform -typing-extensions==3.7.4.3 - # via - # bokeh - # importlib-metadata - # nevergrad - # torch -typing==3.7.4.3 - # via configspace -urllib3==1.26.2 - # via - # botocore - # kubernetes - # requests - # sentry-sdk -wandb==0.10.12 - # via -r requirements_tune.in -watchdog==1.0.2 - # via wandb -wcwidth==0.2.5 - # via - # cmd2 - # prompt-toolkit - # pytest -webencodings==0.5.1 - # via bleach -websocket-client==0.57.0 - # via - # docker - # kubernetes -werkzeug==1.0.1 - # via - # -c ../requirements.txt - # flask - # tensorboard -wheel==0.36.2 - # via - # lightgbm - # tensorboard -widgetsnbextension==3.5.1 - # via ipywidgets -xgboost==1.3.0.post0 - # via -r requirements_tune.in -yacs==0.1.8 - # via gluoncv -zict==2.0.0 - # via distributed -zipp==3.4.0 - # via importlib-metadata -zoopt==0.4.1 - # via -r requirements_tune.in - -# The following packages are considered to be unsafe in a requirements file: -# setuptools diff --git a/python/requirements/linux-py3.8-requirements_tune.txt b/python/requirements/linux-py3.8-requirements_tune.txt deleted file mode 100644 index 14aade654..000000000 --- a/python/requirements/linux-py3.8-requirements_tune.txt +++ /dev/null @@ -1,864 +0,0 @@ -# -# This file is autogenerated by pip-compile -# To update, run: -# -# pip-compile requirements_tune.in -# ---find-links https://download.pytorch.org/whl/torch_stable.html - -absl-py==0.11.0 - # via tensorboard -alembic==1.4.1 - # via - # mlflow - # optuna -argon2-cffi==20.1.0 - # via notebook -async-generator==1.10 - # via nbclient -atari-py==0.2.6 - # via - # -c ../requirements.txt - # gym -attrs==20.3.0 - # via - # cmd2 - # jsonschema - # pytest -autocfg==0.0.6 - # via gluoncv -autogluon.core==0.0.16b20210125 - # via gluoncv -autograd==1.3 - # via autogluon.core -ax-platform==0.1.19 ; python_version >= "3.7" - # via -r requirements_tune.in -azure-core==1.10.0 - # via azure-storage-blob -azure-storage-blob==12.7.1 - # via mlflow -backcall==0.2.0 - # via ipython -bayesian-optimization==1.2.0 - # via - # -r requirements_tune.in - # nevergrad -bcrypt==3.2.0 - # via paramiko -bleach==3.2.2 - # via nbconvert -bokeh==2.2.3 - # via dask -boto3==1.16.58 - # via - # -c ../requirements.txt - # autogluon.core - # smart-open -botocore==1.19.58 - # via - # boto3 - # s3transfer -botorch==0.3.3 - # via ax-platform -cachetools==4.2.0 - # via google-auth -certifi==2020.12.5 - # via - # kubernetes - # msrest - # requests - # sentry-sdk -cffi==1.14.4 - # via - # argon2-cffi - # bcrypt - # cryptography - # pynacl -chardet==4.0.0 - # via requests -click==7.1.2 - # via - # -c ../requirements.txt - # databricks-cli - # distributed - # flask - # mlflow - # sacremoses - # wandb -cliff==3.6.0 - # via optuna -cloudpickle==1.6.0 - # via - # dask - # distributed - # gym - # hyperopt - # mlflow - # tensorflow-probability -cma==3.0.3 - # via nevergrad -cmaes==0.7.0 - # via optuna -cmd2==1.4.0 - # via cliff -colorama==0.4.4 - # via - # -c ../requirements.txt - # cmd2 -colorlog==4.7.2 - # via optuna -configparser==5.0.1 - # via wandb -configspace==0.4.10 - # via - # -r requirements_tune.in - # autogluon.core - # hpbandster -cryptography==3.3.1 - # via - # azure-storage-blob - # paramiko -cycler==0.10.0 - # via matplotlib -cython==0.29.0 - # via - # -c ../requirements.txt - # autogluon.core - # configspace -dask[complete]==2021.1.0 - # via - # -c ../requirements.txt - # autogluon.core - # distributed -databricks-cli==0.14.1 - # via mlflow -dataclasses==0.6 - # via torch -decorator==4.4.2 - # via - # ipython - # networkx - # paramz - # tensorflow-probability -decord==0.4.2 - # via gluoncv -defusedxml==0.6.0 - # via nbconvert -dill==0.3.3 - # via autogluon.core -distributed==2021.1.1 - # via - # autogluon.core - # dask -dm-tree==0.1.5 - # via - # -c ../requirements.txt - # tensorflow-probability -docker-pycreds==0.4.0 - # via wandb -docker==4.4.1 - # via mlflow -dragonfly-opt==0.1.6 - # via -r requirements_tune.in -entrypoints==0.3 - # via - # mlflow - # nbconvert -filelock==3.0.12 - # via - # -c ../requirements.txt - # transformers -flask==1.1.2 - # via - # -c ../requirements.txt - # mlflow - # prometheus-flask-exporter -fsspec==0.8.5 - # via - # dask - # pytorch-lightning -future==0.18.2 - # via - # autograd - # dragonfly-opt - # hyperopt - # pyglet - # pytorch-lightning - # torch -gast==0.4.0 - # via tensorflow-probability -gitdb==4.0.5 - # via gitpython -gitpython==3.1.12 - # via - # mlflow - # wandb -gluoncv==0.9.1 - # via -r requirements_tune.in -google-auth-oauthlib==0.4.2 - # via tensorboard -google-auth==1.24.0 - # via - # google-auth-oauthlib - # kubernetes - # tensorboard -gpy==1.9.9 - # via -r requirements_tune.in -gpytorch==1.3.1 - # via botorch -graphviz==0.8.4 - # via - # autogluon.core - # mxnet -grpcio==1.35.0 - # via - # -c ../requirements.txt - # tensorboard -gunicorn==20.0.4 - # via mlflow -gym==0.18.0 - # via - # -c ../requirements.txt - # -r requirements_tune.in -h5py==3.1.0 - # via - # -r requirements_tune.in - # keras -heapdict==1.0.1 - # via zict -hpbandster==0.7.4 - # via -r requirements_tune.in -hyperopt==0.2.5 - # via -r requirements_tune.in -idna==2.10 - # via requests -ipykernel==5.4.3 - # via - # ipywidgets - # jupyter - # jupyter-console - # notebook - # qtconsole -ipython-genutils==0.2.0 - # via - # nbformat - # notebook - # qtconsole - # traitlets -ipython==7.19.0 - # via - # ipykernel - # ipywidgets - # jupyter-console -ipywidgets==7.6.3 - # via jupyter -isodate==0.6.0 - # via msrest -itsdangerous==1.1.0 - # via flask -jedi==0.18.0 - # via ipython -jinja2==2.11.2 - # via - # ax-platform - # bokeh - # flask - # nbconvert - # notebook -jmespath==0.10.0 - # via - # boto3 - # botocore -joblib==1.0.0 - # via - # optuna - # sacremoses - # scikit-learn - # scikit-optimize -jsonschema==3.2.0 - # via - # -c ../requirements.txt - # nbformat -jupyter-client==6.1.11 - # via - # ipykernel - # jupyter-console - # nbclient - # notebook - # qtconsole -jupyter-console==6.2.0 - # via jupyter -jupyter-core==4.7.0 - # via - # jupyter-client - # nbconvert - # nbformat - # notebook - # qtconsole -jupyter==1.0.0 - # via -r requirements_tune.in -jupyterlab-pygments==0.1.2 - # via nbconvert -jupyterlab-widgets==1.0.0 - # via ipywidgets -keras==2.4.3 - # via -r requirements_tune.in -kiwisolver==1.3.1 - # via matplotlib -kubernetes==12.0.1 - # via - # -c ../requirements.txt - # -r requirements_tune.in -lightgbm==3.1.1 - # via -r requirements_tune.in -locket==0.2.1 - # via partd -mako==1.1.4 - # via alembic -markdown==3.3.3 - # via tensorboard -markupsafe==1.1.1 - # via - # jinja2 - # mako -matplotlib==3.3.3 - # via - # -r requirements_tune.in - # autogluon.core - # gluoncv - # zoopt -mistune==0.8.4 - # via nbconvert -mlflow==1.13.1 - # via -r requirements_tune.in -more-itertools==8.6.0 - # via pytest -msgpack==1.0.2 - # via - # -c ../requirements.txt - # distributed -msrest==0.6.19 - # via azure-storage-blob -mxnet==1.7.0.post1 - # via -r requirements_tune.in -nbclient==0.5.1 - # via nbconvert -nbconvert==6.0.7 - # via - # jupyter - # notebook -nbformat==5.1.2 - # via - # ipywidgets - # nbclient - # nbconvert - # notebook -nest-asyncio==1.4.3 - # via nbclient -netifaces==0.10.9 - # via hpbandster -networkx==2.5 - # via - # -c ../requirements.txt - # hyperopt -nevergrad==0.4.2.post5 - # via -r requirements_tune.in -notebook==6.2.0 - # via - # jupyter - # widgetsnbextension -numpy==1.19.5 - # via - # -c ../requirements.txt - # atari-py - # autogluon.core - # autograd - # bayesian-optimization - # bokeh - # cma - # cmaes - # configspace - # dask - # decord - # dragonfly-opt - # gluoncv - # gpy - # gym - # h5py - # hpbandster - # hyperopt - # keras - # lightgbm - # matplotlib - # mlflow - # mxnet - # nevergrad - # opencv-python - # optuna - # pandas - # paramz - # patsy - # pytorch-lightning - # scikit-learn - # scikit-optimize - # scipy - # statsmodels - # tensorboard - # tensorboardx - # tensorflow-probability - # torch - # torchvision - # transformers - # xgboost - # zoopt -oauthlib==3.1.0 - # via requests-oauthlib -opencv-python==4.5.1.48 - # via - # gluoncv - # gym -optuna==2.4.0 - # via -r requirements_tune.in -packaging==20.8 - # via - # bleach - # bokeh - # optuna - # pytest - # transformers -pandas==1.0.5 - # via - # -c ../requirements.txt - # autogluon.core - # ax-platform - # dask - # gluoncv - # mlflow - # statsmodels -pandocfilters==1.4.3 - # via nbconvert -paramiko==2.7.2 - # via autogluon.core -paramz==0.9.5 - # via gpy -parso==0.8.1 - # via jedi -partd==1.1.0 - # via dask -patsy==0.5.1 - # via statsmodels -pbr==5.5.1 - # via - # cliff - # stevedore -pexpect==4.8.0 - # via - # -c ../requirements.txt - # ipython -pickleshare==0.7.5 - # via ipython -pillow==7.2.0 ; platform_system != "Windows" - # via - # -c ../requirements.txt - # bokeh - # gluoncv - # gym - # matplotlib - # torchvision -plotly==4.14.3 - # via ax-platform -pluggy==0.13.1 - # via pytest -portalocker==2.0.0 - # via gluoncv -prettytable==0.7.2 - # via cliff -prometheus-client==0.9.0 - # via - # -c ../requirements.txt - # notebook - # prometheus-flask-exporter -prometheus-flask-exporter==0.18.1 - # via mlflow -promise==2.3 - # via wandb -prompt-toolkit==3.0.13 - # via - # ipython - # jupyter-console -protobuf==3.14.0 - # via - # -c ../requirements.txt - # mlflow - # tensorboard - # tensorboardx - # wandb -psutil==5.8.0 - # via - # distributed - # wandb -ptyprocess==0.7.0 - # via - # pexpect - # terminado -py==1.10.0 - # via pytest -pyaml==20.4.0 - # via scikit-optimize -pyasn1-modules==0.2.8 - # via google-auth -pyasn1==0.4.8 - # via - # pyasn1-modules - # rsa -pycparser==2.20 - # via cffi -pyglet==1.5.0 - # via gym -pygments==2.7.4 - # via - # -c ../requirements.txt - # ipython - # jupyter-console - # jupyterlab-pygments - # nbconvert - # qtconsole -pynacl==1.4.0 - # via paramiko -pyparsing==2.4.7 - # via - # cliff - # configspace - # matplotlib - # packaging -pyperclip==1.8.1 - # via cmd2 -pyro4==4.80 - # via hpbandster -pyrsistent==0.17.3 - # via jsonschema -pytest-remotedata==0.3.2 - # via -r requirements_tune.in -pytest==5.4.3 - # via - # -c ../requirements.txt - # autogluon.core - # pytest-remotedata -python-dateutil==2.8.1 - # via - # alembic - # bokeh - # botocore - # jupyter-client - # kubernetes - # matplotlib - # mlflow - # pandas - # wandb -python-editor==1.0.4 - # via alembic -pytorch-lightning-bolts==0.2.5 - # via -r requirements_tune.in -pytorch-lightning==1.0.3 - # via - # -r requirements_tune.in - # pytorch-lightning-bolts -pytz==2020.5 - # via pandas -pyyaml==5.4.1 - # via - # -c ../requirements.txt - # autocfg - # bokeh - # cliff - # dask - # distributed - # gluoncv - # keras - # kubernetes - # mlflow - # pyaml - # pytorch-lightning - # wandb - # yacs -pyzmq==21.0.1 - # via - # jupyter-client - # notebook - # qtconsole -qtconsole==5.0.2 - # via jupyter -qtpy==1.9.0 - # via qtconsole -querystring-parser==1.2.4 - # via mlflow -regex==2020.11.13 - # via - # sacremoses - # transformers -requests-oauthlib==1.3.0 - # via - # google-auth-oauthlib - # kubernetes - # msrest -requests==2.25.1 - # via - # -c ../requirements.txt - # autogluon.core - # azure-core - # databricks-cli - # docker - # gluoncv - # kubernetes - # mlflow - # msrest - # mxnet - # requests-oauthlib - # sigopt - # tensorboard - # transformers - # wandb -retrying==1.3.3 - # via plotly -rsa==4.7 - # via google-auth -s3transfer==0.3.4 - # via boto3 -sacremoses==0.0.43 - # via transformers -scikit-learn==0.22.2 - # via - # -c ../requirements.txt - # -r requirements_tune.in - # autogluon.core - # ax-platform - # bayesian-optimization - # gpytorch - # lightgbm - # scikit-optimize -scikit-optimize==0.8.1 - # via - # -r requirements_tune.in - # autogluon.core -scipy==1.4.1 - # via - # -c ../requirements.txt - # autogluon.core - # ax-platform - # bayesian-optimization - # botorch - # dragonfly-opt - # gluoncv - # gpy - # gpytorch - # gym - # hpbandster - # hyperopt - # keras - # lightgbm - # optuna - # paramz - # scikit-learn - # scikit-optimize - # statsmodels - # xgboost -send2trash==1.5.0 - # via notebook -sentencepiece==0.1.95 - # via transformers -sentry-sdk==0.19.5 - # via wandb -serpent==1.30.2 - # via - # hpbandster - # pyro4 -shortuuid==1.0.1 - # via wandb -sigopt==5.7.0 - # via -r requirements_tune.in -six==1.15.0 - # via - # absl-py - # argon2-cffi - # atari-py - # azure-core - # bcrypt - # bleach - # cryptography - # cycler - # databricks-cli - # dm-tree - # docker - # docker-pycreds - # dragonfly-opt - # google-auth - # gpy - # grpcio - # hyperopt - # isodate - # jsonschema - # kubernetes - # mlflow - # paramz - # patsy - # plotly - # promise - # protobuf - # pynacl - # pytest-remotedata - # python-dateutil - # querystring-parser - # retrying - # sacremoses - # tensorboard - # tensorboardx - # tensorflow-probability - # wandb - # websocket-client -smart_open==4.0.1 - # via - # -c ../requirements.txt - # -r requirements_tune.in -smmap==3.0.4 - # via gitdb -sortedcontainers==2.3.0 - # via distributed -sqlalchemy==1.3.22 - # via - # alembic - # mlflow - # optuna -sqlparse==0.4.1 - # via mlflow -statsmodels==0.12.1 - # via hpbandster -stevedore==3.3.0 - # via cliff -subprocess32==3.5.4 - # via wandb -tabulate==0.8.7 - # via - # -c ../requirements.txt - # databricks-cli -tblib==1.7.0 - # via distributed -tensorboard-plugin-wit==1.8.0 - # via tensorboard -tensorboard==2.4.1 - # via pytorch-lightning -tensorboardx==2.1 - # via - # -c ../requirements.txt - # gluoncv -tensorflow-probability==0.11.1 - # via -r requirements_tune.in -terminado==0.9.2 - # via notebook -testpath==0.4.4 - # via nbconvert -timm==0.3.2 - # via -r requirements_tune.in -tokenizers==0.8.1.rc2 - # via transformers -toolz==0.11.1 - # via - # dask - # distributed - # partd -torch==1.7.0+cpu ; sys_platform != "darwin" - # via - # -r requirements_tune.in - # botorch - # gpytorch - # pytorch-lightning - # pytorch-lightning-bolts - # timm - # torchvision -torchvision==0.8.1+cpu ; sys_platform != "darwin" - # via - # -r requirements_tune.in - # timm -tornado==6.1 - # via - # autogluon.core - # bokeh - # distributed - # ipykernel - # jupyter-client - # notebook - # terminado -tqdm==4.56.0 - # via - # autogluon.core - # gluoncv - # hyperopt - # optuna - # pytorch-lightning - # sacremoses - # transformers -traitlets==5.0.5 - # via - # ipykernel - # ipython - # ipywidgets - # jupyter-client - # jupyter-core - # nbclient - # nbconvert - # nbformat - # notebook - # qtconsole -transformers==3.1 - # via -r requirements_tune.in -typeguard==2.10.0 - # via ax-platform -typing-extensions==3.7.4.3 - # via - # bokeh - # nevergrad - # torch -typing==3.7.4.3 - # via configspace -urllib3==1.26.2 - # via - # botocore - # kubernetes - # requests - # sentry-sdk -wandb==0.10.12 - # via -r requirements_tune.in -watchdog==1.0.2 - # via wandb -wcwidth==0.2.5 - # via - # cmd2 - # prompt-toolkit - # pytest -webencodings==0.5.1 - # via bleach -websocket-client==0.57.0 - # via - # docker - # kubernetes -werkzeug==1.0.1 - # via - # -c ../requirements.txt - # flask - # tensorboard -wheel==0.36.2 - # via - # lightgbm - # tensorboard -widgetsnbextension==3.5.1 - # via ipywidgets -xgboost==1.3.0.post0 - # via -r requirements_tune.in -yacs==0.1.8 - # via gluoncv -zict==2.0.0 - # via distributed -zoopt==0.4.1 - # via -r requirements_tune.in - -# The following packages are considered to be unsafe in a requirements file: -# setuptools diff --git a/python/requirements/requirements_tune.in b/python/requirements/requirements_tune.txt similarity index 92% rename from python/requirements/requirements_tune.in rename to python/requirements/requirements_tune.txt index 96a263204..5ee1b9026 100644 --- a/python/requirements/requirements_tune.in +++ b/python/requirements/requirements_tune.txt @@ -1,6 +1,3 @@ -# Use base requirements to constrain these requirements. --c ./requirements.txt - ax-platform==0.1.9; python_version < '3.7' ax-platform==0.1.19; python_version >= '3.7' bayesian-optimization==1.2.0