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Upgrade tfx version to 0.26.0 in backend (#5052)
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@zijianjoy
zijianjoy authored Jan 29, 2021
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2 changes: 1 addition & 1 deletion backend/requirements.in
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tfx==0.22.0
tfx==0.26.0
207 changes: 111 additions & 96 deletions backend/requirements.txt
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#
# pip-compile --output-file=- -
#
absl-py==0.8.1 # via ml-metadata, tensorboard, tensorflow, tensorflow-data-validation, tensorflow-model-analysis, tensorflow-transform, tfx, tfx-bsl
apache-beam[gcp]==2.22.0 # via tensorflow-data-validation, tensorflow-model-analysis, tensorflow-transform, tfx, tfx-bsl
absl-py==0.10.0 # via ml-metadata, ml-pipelines-sdk, tensorboard, tensorflow, tensorflow-cloud, tensorflow-data-validation, tensorflow-datasets, tensorflow-metadata, tensorflow-model-analysis, tensorflow-transform, tfx, tfx-bsl
apache-beam[gcp]==2.27.0 # via tensorflow-data-validation, tensorflow-model-analysis, tensorflow-transform, tfx, tfx-bsl
argon2-cffi==20.1.0 # via notebook
astunparse==1.6.3 # via tensorflow
attrs==19.3.0 # via jsonschema
async-generator==1.10 # via nbclient
attrs==20.3.0 # via jsonschema, ml-metadata, tensorflow-datasets, tfx
avro-python3==1.9.2.1 # via apache-beam
backcall==0.2.0 # via ipython
bleach==3.1.5 # via nbconvert
cachetools==3.1.1 # via apache-beam, google-auth
certifi==2020.6.20 # via kubernetes, requests
chardet==3.0.4 # via requests
bleach==3.2.3 # via nbconvert
cachetools==4.2.1 # via apache-beam, google-auth
certifi==2020.12.5 # via kubernetes, requests
cffi==1.14.4 # via argon2-cffi, google-crc32c
chardet==4.0.0 # via requests
click==7.1.2 # via tfx
colorama==0.4.3 # via keras-tuner
colorama==0.4.4 # via keras-tuner
crcmod==1.7 # via apache-beam
decorator==4.4.2 # via ipython, traitlets
decorator==4.4.2 # via ipython
defusedxml==0.6.0 # via nbconvert
dill==0.3.1.1 # via apache-beam
docker==4.2.2 # via tfx
dill==0.3.1.1 # via apache-beam, tensorflow-datasets
docker==4.4.1 # via ml-pipelines-sdk, tensorflow-cloud, tfx
docopt==0.6.2 # via hdfs
entrypoints==0.3 # via nbconvert
fastavro==0.23.5 # via apache-beam
fasteners==0.15 # via google-apitools
future==0.18.2 # via apache-beam, keras-tuner
fastavro==1.3.0 # via apache-beam
fasteners==0.16 # via google-apitools
future==0.18.2 # via apache-beam, keras-tuner, tensorflow-datasets
gast==0.3.3 # via tensorflow
google-api-core[grpc,grpcgcp]==1.21.0 # via google-api-python-client, google-cloud-bigquery, google-cloud-bigtable, google-cloud-core, google-cloud-datastore, google-cloud-dlp, google-cloud-language, google-cloud-pubsub, google-cloud-spanner, google-cloud-videointelligence, google-cloud-vision
google-api-python-client==1.9.3 # via tfx, tfx-bsl
google-api-core[grpc,grpcgcp]==1.25.1 # via google-api-python-client, google-cloud-bigquery, google-cloud-bigtable, google-cloud-build, google-cloud-core, google-cloud-datastore, google-cloud-dlp, google-cloud-language, google-cloud-pubsub, google-cloud-spanner, google-cloud-videointelligence, google-cloud-vision
google-api-python-client==1.12.8 # via tensorflow-cloud, tfx, tfx-bsl
google-apitools==0.5.31 # via apache-beam
google-auth-httplib2==0.0.3 # via google-api-python-client
google-auth-oauthlib==0.4.1 # via tensorboard
google-auth==1.18.0 # via google-api-core, google-api-python-client, google-auth-httplib2, google-auth-oauthlib, google-cloud-bigquery, kubernetes, tensorboard
google-cloud-bigquery==1.24.0 # via apache-beam
google-cloud-bigtable==1.0.0 # via apache-beam
google-cloud-core==1.3.0 # via apache-beam, google-cloud-bigquery, google-cloud-bigtable, google-cloud-datastore, google-cloud-spanner
google-cloud-datastore==1.7.4 # via apache-beam
google-cloud-dlp==0.13.0 # via apache-beam
google-auth-httplib2==0.0.4 # via google-api-python-client
google-auth-oauthlib==0.4.2 # via tensorboard
google-auth==1.24.0 # via apache-beam, google-api-core, google-api-python-client, google-auth-httplib2, google-auth-oauthlib, google-cloud-storage, kubernetes, tensorboard, tensorflow-cloud
google-cloud-bigquery==1.28.0 # via apache-beam
google-cloud-bigtable==1.6.1 # via apache-beam
google-cloud-build==2.0.0 # via apache-beam
google-cloud-core==1.5.0 # via apache-beam, google-cloud-bigquery, google-cloud-bigtable, google-cloud-datastore, google-cloud-spanner, google-cloud-storage
google-cloud-datastore==1.15.3 # via apache-beam
google-cloud-dlp==1.0.0 # via apache-beam
google-cloud-language==1.3.0 # via apache-beam
google-cloud-pubsub==1.0.2 # via apache-beam
google-cloud-spanner==1.13.0 # via apache-beam
google-cloud-videointelligence==1.13.0 # via apache-beam
google-cloud-vision==0.42.0 # via apache-beam
google-cloud-pubsub==1.7.0 # via apache-beam
google-cloud-spanner==1.19.1 # via apache-beam
google-cloud-storage==1.35.0 # via tensorflow-cloud
google-cloud-videointelligence==1.16.1 # via apache-beam
google-cloud-vision==1.0.0 # via apache-beam
google-crc32c==1.1.2 # via google-resumable-media
google-pasta==0.2.0 # via tensorflow
google-resumable-media==0.5.1 # via google-cloud-bigquery
google-resumable-media==1.2.0 # via google-cloud-bigquery, google-cloud-storage
googleapis-common-protos[grpc]==1.52.0 # via google-api-core, grpc-google-iam-v1, tensorflow-metadata
grpc-google-iam-v1==0.12.3 # via google-cloud-bigtable, google-cloud-pubsub, google-cloud-spanner
grpcio-gcp==0.2.2 # via apache-beam, google-api-core
grpcio==1.30.0 # via apache-beam, google-api-core, googleapis-common-protos, grpc-google-iam-v1, grpcio-gcp, tensorboard, tensorflow, tensorflow-serving-api, tfx
grpcio==1.35.0 # via apache-beam, google-api-core, googleapis-common-protos, grpc-google-iam-v1, grpcio-gcp, ml-metadata, tensorboard, tensorflow, tensorflow-serving-api, tfx
h5py==2.10.0 # via tensorflow
hdfs==2.5.8 # via apache-beam
httplib2==0.17.4 # via apache-beam, google-api-python-client, google-apitools, google-auth-httplib2, oauth2client
idna==2.10 # via requests
importlib-metadata==1.7.0 # via jsonschema, markdown
ipykernel==5.3.0 # via ipywidgets, jupyter, jupyter-console, notebook, qtconsole
ipython-genutils==0.2.0 # via nbformat, notebook, qtconsole, traitlets
ipython==7.9.0 # via ipykernel, ipywidgets, jupyter-console
ipywidgets==7.5.1 # via jupyter, tensorflow-model-analysis
jedi==0.17.1 # via ipython
jinja2==2.11.2 # via nbconvert, notebook, tfx
importlib-metadata==3.4.0 # via jsonschema, markdown
ipykernel==5.4.3 # via ipywidgets, notebook
ipython-genutils==0.2.0 # via nbformat, notebook, traitlets
ipython==7.19.0 # via ipykernel, ipywidgets, tensorflow-model-analysis
ipywidgets==7.6.3 # via tensorflow-model-analysis
jedi==0.18.0 # via ipython
jinja2==2.11.2 # via ml-pipelines-sdk, nbconvert, notebook, tfx
joblib==0.14.1 # via scikit-learn, tensorflow-data-validation
jsonschema==3.2.0 # via nbformat
jupyter-client==6.1.5 # via ipykernel, jupyter-console, notebook, qtconsole
jupyter-console==6.1.0 # via jupyter
jupyter-core==4.6.3 # via jupyter-client, nbconvert, nbformat, notebook, qtconsole
jupyter==1.0.0 # via tensorflow-model-analysis
jupyter-client==6.1.11 # via ipykernel, nbclient, notebook
jupyter-core==4.7.0 # via jupyter-client, nbconvert, nbformat, notebook
jupyterlab-pygments==0.1.2 # via nbconvert
jupyterlab-widgets==1.0.0 # via ipywidgets
keras-preprocessing==1.1.2 # via tensorflow
keras-tuner==1.0.1 # via tfx
keras-tuner==1.0.1 # via tensorflow-cloud, tfx
kubernetes==11.0.0 # via tfx
markdown==3.2.2 # via tensorboard
libcst==0.3.16 # via google-cloud-build
markdown==3.3.3 # via tensorboard
markupsafe==1.1.1 # via jinja2
mistune==0.8.4 # via nbconvert
ml-metadata==0.22.1 # via tfx
ml-metadata==0.26.0 # via ml-pipelines-sdk, tfx
ml-pipelines-sdk==0.26.0 # via tfx
mock==2.0.0 # via apache-beam
monotonic==1.5 # via fasteners
nbconvert==5.6.1 # via jupyter, notebook
nbformat==5.0.7 # via ipywidgets, nbconvert, notebook
notebook==6.0.3 # via jupyter, widgetsnbextension
numpy==1.18.5 # via apache-beam, h5py, keras-preprocessing, keras-tuner, opt-einsum, pandas, pyarrow, scikit-learn, scipy, tensorboard, tensorflow, tensorflow-data-validation, tensorflow-model-analysis, tensorflow-transform, tfx-bsl
oauth2client==3.0.0 # via apache-beam, google-apitools
mypy-extensions==0.4.3 # via typing-inspect
nbclient==0.5.1 # via nbconvert
nbconvert==6.0.7 # via notebook
nbformat==5.1.2 # via ipywidgets, nbclient, nbconvert, notebook
nest-asyncio==1.5.1 # via nbclient
notebook==6.2.0 # via widgetsnbextension
numpy==1.18.5 # via apache-beam, h5py, keras-preprocessing, keras-tuner, opt-einsum, pandas, pyarrow, scikit-learn, scipy, tensorboard, tensorflow, tensorflow-data-validation, tensorflow-datasets, tensorflow-hub, tensorflow-model-analysis, tensorflow-transform, tfx-bsl
oauth2client==4.1.3 # via apache-beam, google-apitools
oauthlib==3.1.0 # via requests-oauthlib
opt-einsum==3.2.1 # via tensorflow
packaging==20.4 # via bleach
pandas==0.25.3 # via tensorflow-data-validation, tensorflow-model-analysis, tfx-bsl
pandocfilters==1.4.2 # via nbconvert
parso==0.7.0 # via jedi
pbr==5.4.5 # via mock
opt-einsum==3.3.0 # via tensorflow
packaging==20.8 # via bleach
pandas==1.2.1 # via tensorflow-data-validation, tensorflow-model-analysis, tfx-bsl
pandocfilters==1.4.3 # via nbconvert
parso==0.8.1 # via jedi
pbr==5.5.1 # via mock
pexpect==4.8.0 # via ipython
pickleshare==0.7.5 # via ipython
prometheus-client==0.8.0 # via notebook
prompt-toolkit==2.0.10 # via ipython, jupyter-console
protobuf==3.12.2 # via apache-beam, google-api-core, google-cloud-bigquery, googleapis-common-protos, ml-metadata, tensorboard, tensorflow, tensorflow-data-validation, tensorflow-metadata, tensorflow-model-analysis, tensorflow-serving-api, tensorflow-transform, tfx, tfx-bsl
ptyprocess==0.6.0 # via pexpect, terminado
pyarrow==0.16.0 # via apache-beam, tensorflow-data-validation, tensorflow-model-analysis, tfx, tfx-bsl
prometheus-client==0.9.0 # via notebook
promise==2.3 # via tensorflow-datasets
prompt-toolkit==3.0.14 # via ipython
proto-plus==1.13.0 # via google-cloud-build
protobuf==3.14.0 # via apache-beam, google-api-core, googleapis-common-protos, ml-metadata, ml-pipelines-sdk, proto-plus, tensorboard, tensorflow, tensorflow-data-validation, tensorflow-datasets, tensorflow-hub, tensorflow-metadata, tensorflow-model-analysis, tensorflow-serving-api, tensorflow-transform, tfx, tfx-bsl
ptyprocess==0.7.0 # via pexpect, terminado
pyarrow==0.17.1 # via apache-beam, tensorflow-data-validation, tensorflow-model-analysis, tensorflow-transform, tfx, tfx-bsl
pyasn1-modules==0.2.8 # via google-auth, oauth2client
pyasn1==0.4.8 # via oauth2client, pyasn1-modules, rsa
pycparser==2.20 # via cffi
pydot==1.4.1 # via apache-beam, tensorflow-transform
pygments==2.6.1 # via ipython, jupyter-console, nbconvert, qtconsole
pymongo==3.10.1 # via apache-beam
pygments==2.7.4 # via ipython, jupyterlab-pygments, nbconvert
pymongo==3.11.2 # via apache-beam
pyparsing==2.4.7 # via packaging, pydot
pyrsistent==0.16.0 # via jsonschema
pyrsistent==0.17.3 # via jsonschema
python-dateutil==2.8.1 # via apache-beam, jupyter-client, kubernetes, pandas
pytz==2020.1 # via apache-beam, fastavro, google-api-core, pandas
pyyaml==5.3.1 # via kubernetes, tfx
pyzmq==19.0.1 # via jupyter-client, notebook, qtconsole
qtconsole==4.7.5 # via jupyter
qtpy==1.9.0 # via qtconsole
pytz==2020.5 # via apache-beam, google-api-core, pandas
pyyaml==5.4.1 # via kubernetes, libcst, tfx
pyzmq==22.0.0 # via jupyter-client, notebook
requests-oauthlib==1.3.0 # via google-auth-oauthlib, kubernetes
requests==2.24.0 # via docker, google-api-core, hdfs, keras-tuner, kubernetes, requests-oauthlib, tensorboard
rsa==4.6 # via google-auth, oauth2client
scikit-learn==0.22.2.post1 # via keras-tuner
scipy==1.4.1 # via keras-tuner, scikit-learn, tensorflow, tensorflow-model-analysis
requests==2.25.1 # via apache-beam, docker, google-api-core, google-cloud-storage, hdfs, keras-tuner, kubernetes, requests-oauthlib, tensorboard, tensorflow-datasets
rsa==4.7 # via google-auth, oauth2client
scikit-learn==0.24.1 # via keras-tuner
scipy==1.6.0 # via keras-tuner, scikit-learn, tensorflow-model-analysis
send2trash==1.5.0 # via notebook
six==1.15.0 # via absl-py, astunparse, bleach, docker, fasteners, google-api-core, google-api-python-client, google-apitools, google-auth, google-cloud-bigquery, google-pasta, google-resumable-media, grpcio, h5py, hdfs, jsonschema, keras-preprocessing, kubernetes, ml-metadata, mock, oauth2client, packaging, prompt-toolkit, protobuf, pyarrow, pyrsistent, python-dateutil, tensorboard, tensorflow, tensorflow-data-validation, tensorflow-model-analysis, tensorflow-transform, tfx, tfx-bsl, traitlets, websocket-client
six==1.15.0 # via absl-py, argon2-cffi, astunparse, bleach, docker, fasteners, google-api-core, google-api-python-client, google-apitools, google-auth, google-auth-httplib2, google-cloud-bigquery, google-cloud-core, google-pasta, google-resumable-media, grpcio, h5py, hdfs, jsonschema, keras-preprocessing, kubernetes, ml-metadata, ml-pipelines-sdk, mock, oauth2client, promise, protobuf, python-dateutil, tensorboard, tensorflow, tensorflow-data-validation, tensorflow-datasets, tensorflow-hub, tensorflow-model-analysis, tensorflow-transform, tfx, websocket-client
tabulate==0.8.7 # via keras-tuner
tensorboard-plugin-wit==1.7.0 # via tensorboard
tensorboard==2.2.2 # via tensorflow
tensorflow-data-validation==0.22.2 # via tfx
tensorflow-estimator==2.2.0 # via tensorflow
tensorflow-metadata==0.22.2 # via tensorflow-data-validation, tensorflow-model-analysis, tensorflow-transform, tfx-bsl
tensorflow-model-analysis==0.22.2 # via tfx
tensorflow-serving-api==2.2.0 # via tfx, tfx-bsl
tensorflow-transform==0.22.0 # via tensorflow-data-validation, tfx
tensorflow==2.2.0 # via ml-metadata, tensorflow-data-validation, tensorflow-model-analysis, tensorflow-serving-api, tensorflow-transform, tfx, tfx-bsl
termcolor==1.1.0 # via tensorflow
terminado==0.8.3 # via notebook
tensorboard-plugin-wit==1.8.0 # via tensorboard
tensorboard==2.4.1 # via tensorflow, tensorflow-cloud
tensorflow-cloud==0.1.11 # via tfx
tensorflow-data-validation==0.26.0 # via tfx
tensorflow-datasets==3.0.0 # via tensorflow-cloud
tensorflow-estimator==2.3.0 # via tensorflow
tensorflow-hub==0.9.0 # via tfx
tensorflow-metadata==0.26.0 # via tensorflow-data-validation, tensorflow-datasets, tensorflow-model-analysis, tensorflow-transform, tfx-bsl
tensorflow-model-analysis==0.26.0 # via tfx
tensorflow-serving-api==2.3.0 # via tfx, tfx-bsl
tensorflow-transform==0.26.0 # via tensorflow-data-validation, tfx
tensorflow==2.3.2 # via tensorflow-cloud, tensorflow-data-validation, tensorflow-model-analysis, tensorflow-serving-api, tensorflow-transform, tfx, tfx-bsl
termcolor==1.1.0 # via tensorflow, tensorflow-datasets
terminado==0.9.2 # via notebook
terminaltables==3.1.0 # via keras-tuner
testpath==0.4.4 # via nbconvert
tfx-bsl==0.22.1 # via tensorflow-data-validation, tensorflow-model-analysis, tensorflow-transform, tfx
tfx==0.22.0 # via -r -
tornado==6.0.4 # via ipykernel, jupyter-client, notebook, terminado
tqdm==4.47.0 # via keras-tuner
traitlets==4.3.3 # via ipykernel, ipython, ipywidgets, jupyter-client, jupyter-core, nbconvert, nbformat, notebook, qtconsole
typing-extensions==3.7.4.2 # via apache-beam
typing==3.7.4.1 # via apache-beam
tfx-bsl==0.26.1 # via tensorflow-data-validation, tensorflow-model-analysis, tensorflow-transform, tfx
tfx==0.26.0 # via -r -
threadpoolctl==2.1.0 # via scikit-learn
tornado==6.1 # via ipykernel, jupyter-client, notebook, terminado
tqdm==4.56.0 # via keras-tuner, tensorflow-datasets
traitlets==5.0.5 # via ipykernel, ipython, ipywidgets, jupyter-client, jupyter-core, nbclient, nbconvert, nbformat, notebook
typing-extensions==3.7.4.3 # via apache-beam, importlib-metadata, libcst, typing-inspect
typing-inspect==0.6.0 # via libcst
uritemplate==3.0.1 # via google-api-python-client
urllib3==1.25.9 # via kubernetes, requests
urllib3==1.26.3 # via kubernetes, requests
wcwidth==0.2.5 # via prompt-toolkit
webencodings==0.5.1 # via bleach
websocket-client==0.57.0 # via docker, kubernetes
werkzeug==1.0.1 # via tensorboard
wheel==0.34.2 # via astunparse, tensorboard, tensorflow
wheel==0.36.2 # via astunparse, tensorboard, tensorflow
widgetsnbextension==3.5.1 # via ipywidgets
wrapt==1.12.1 # via tensorflow
zipp==1.2.0 # via importlib-metadata
wrapt==1.12.1 # via tensorflow, tensorflow-datasets
zipp==3.4.0 # via importlib-metadata

# The following packages are considered to be unsafe in a requirements file:
# setuptools
2 changes: 1 addition & 1 deletion backend/update_requirements.sh
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#!/bin/bash

# Usage: update_requirements.sh <requirements.in >requirements.txt
# Usage: ./update_requirements.sh <requirements.in >requirements.txt

set -euo pipefail
IMAGE=${1:-"python:3.7"}
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