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Bump tensorflow from 1.12 to 2.5.1 #2

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Bump tensorflow from 1.12 to 2.5.1 #2

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2 changes: 1 addition & 1 deletion requirements.in
100755 → 100644
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Original file line number Diff line number Diff line change
@@ -1,5 +1,5 @@
jupyterlab
tensorflow==1.12
tensorflow==2.5.1
sympy
sklearn
scipy # implicitly reqiuired by sklearn
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360 changes: 284 additions & 76 deletions requirements.txt
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Original file line number Diff line number Diff line change
Expand Up @@ -4,90 +4,298 @@
#
# pip-compile --output-file requirements.txt requirements.in
#
absl-py==0.6.1 # via tensorflow
appnope==0.1.0 # via ipython
astor==0.7.1 # via tensorflow
backcall==0.1.0 # via ipython
bleach==3.0.2 # via nbconvert
cachetools==3.0.0 # via google-auth
certifi==2018.11.29 # via requests
chardet==3.0.4 # via requests
cycler==0.10.0 # via matplotlib
decorator==4.3.0 # via ipython, traitlets
defusedxml==0.5.0 # via nbconvert
entrypoints==0.2.3 # via nbconvert
gast==0.2.0 # via tensorflow
google-api-core==1.6.0 # via google-cloud-core, google-cloud-storage
absl-py==0.13.0
# via
# tensorboard
# tensorflow
astunparse==1.6.3
# via tensorflow
backcall==0.1.0
# via ipython
bleach==3.0.2
# via nbconvert
cachetools==3.0.0
# via google-auth
certifi==2018.11.29
# via requests
chardet==3.0.4
# via requests
cycler==0.10.0
# via matplotlib
decorator==4.3.0
# via
# ipython
# traitlets
defusedxml==0.5.0
# via nbconvert
entrypoints==0.2.3
# via nbconvert
flatbuffers==1.12
# via tensorflow
gast==0.4.0
# via tensorflow
google-api-core==1.6.0
# via
# google-cloud-core
# google-cloud-storage
google-api-python-client==1.7.6
google-auth-httplib2==0.0.3 # via google-api-python-client
google-auth==1.6.1 # via google-api-core, google-api-python-client, google-auth-httplib2
google-cloud-core==0.29.0 # via google-cloud-storage
# via -r requirements.in
google-auth==1.35.0
# via
# google-api-core
# google-api-python-client
# google-auth-httplib2
# google-auth-oauthlib
# tensorboard
google-auth-httplib2==0.0.3
# via google-api-python-client
google-auth-oauthlib==0.4.5
# via tensorboard
google-cloud-core==0.29.0
# via google-cloud-storage
google-cloud-storage==1.13.1
google-resumable-media==0.3.1 # via google-cloud-storage
googleapis-common-protos==1.5.5 # via google-api-core
grpcio==1.17.1 # via tensorboard, tensorflow
h5py==2.8.0 # via keras-applications
httplib2==0.12.0 # via google-api-python-client, google-auth-httplib2, oauth2client
idna==2.8 # via requests
ipykernel==5.1.0 # via notebook
ipython-genutils==0.2.0 # via nbformat, notebook, traitlets
ipython==7.2.0 # via ipykernel
jedi==0.13.1 # via ipython
jinja2==2.10 # via nbconvert, notebook
jsonschema==2.6.0 # via jupyterlab-server, nbformat
jupyter-client==5.2.4 # via ipykernel, notebook
jupyter-core==4.4.0 # via jupyter-client, nbconvert, nbformat, notebook
jupyterlab-server==0.2.0 # via jupyterlab
# via -r requirements.in
google-pasta==0.2.0
# via tensorflow
google-resumable-media==0.3.1
# via google-cloud-storage
googleapis-common-protos==1.5.5
# via google-api-core
grpcio==1.34.1
# via
# tensorboard
# tensorflow
h5py==3.1.0
# via tensorflow
httplib2==0.12.0
# via
# google-api-python-client
# google-auth-httplib2
# oauth2client
idna==2.8
# via requests
ipykernel==5.1.0
# via notebook
ipython==7.2.0
# via ipykernel
ipython-genutils==0.2.0
# via
# nbformat
# notebook
# traitlets
jedi==0.13.1
# via ipython
jinja2==2.10
# via
# nbconvert
# notebook
jsonschema==2.6.0
# via
# jupyterlab-server
# nbformat
jupyter-client==5.2.4
# via
# ipykernel
# notebook
jupyter-core==4.4.0
# via
# jupyter-client
# nbconvert
# nbformat
# notebook
jupyterlab==0.35.4
keras-applications==1.0.6 # via tensorflow
keras-preprocessing==1.0.5 # via tensorflow
kiwisolver==1.0.1 # via matplotlib
markdown==3.0.1 # via tensorboard
markupsafe==1.1.0 # via jinja2
# via -r requirements.in
jupyterlab-server==0.2.0
# via jupyterlab
keras-nightly==2.5.0.dev2021032900
# via tensorflow
keras-preprocessing==1.1.2
# via tensorflow
kiwisolver==1.0.1
# via matplotlib
markdown==3.0.1
# via tensorboard
markupsafe==1.1.0
# via jinja2
matplotlib==3.0.2
mistune==0.8.4 # via nbconvert
mpmath==1.1.0 # via sympy
nbconvert==5.4.0 # via notebook
nbformat==4.4.0 # via nbconvert, notebook
notebook==5.7.2 # via jupyterlab, jupyterlab-server
numpy==1.15.4 # via h5py, keras-applications, keras-preprocessing, matplotlib, pandas, scikit-learn, scipy, tensorboard, tensorflow
# via -r requirements.in
mistune==0.8.4
# via nbconvert
mpmath==1.1.0
# via sympy
nbconvert==5.4.0
# via notebook
nbformat==4.4.0
# via
# nbconvert
# notebook
notebook==5.7.2
# via
# jupyterlab
# jupyterlab-server
numpy==1.19.5
# via
# h5py
# keras-preprocessing
# matplotlib
# opt-einsum
# pandas
# scikit-learn
# scipy
# tensorboard
# tensorflow
oauth2client==4.1.3
# via -r requirements.in
oauthlib==3.1.1
# via requests-oauthlib
opt-einsum==3.3.0
# via tensorflow
pandas==0.23.4
pandocfilters==1.4.2 # via nbconvert
parso==0.3.1 # via jedi
pexpect==4.6.0 # via ipython
pickleshare==0.7.5 # via ipython
prometheus-client==0.5.0 # via notebook
prompt-toolkit==2.0.7 # via ipython
protobuf==3.6.1 # via google-api-core, googleapis-common-protos, tensorboard, tensorflow
ptyprocess==0.6.0 # via pexpect, terminado
pyasn1-modules==0.2.2 # via google-auth, oauth2client
pyasn1==0.4.4 # via oauth2client, pyasn1-modules, rsa
pygments==2.3.0 # via ipython, nbconvert
pyparsing==2.3.0 # via matplotlib
python-dateutil==2.7.5 # via jupyter-client, matplotlib, pandas
# via -r requirements.in
pandocfilters==1.4.2
# via nbconvert
parso==0.3.1
# via jedi
pexpect==4.6.0
# via ipython
pickleshare==0.7.5
# via ipython
prometheus-client==0.5.0
# via notebook
prompt-toolkit==2.0.7
# via ipython
protobuf==3.17.3
# via
# google-api-core
# googleapis-common-protos
# tensorboard
# tensorflow
ptyprocess==0.6.0
# via
# pexpect
# terminado
pyasn1==0.4.4
# via
# oauth2client
# pyasn1-modules
# rsa
pyasn1-modules==0.2.2
# via
# google-auth
# oauth2client
pygments==2.3.0
# via
# ipython
# nbconvert
pyparsing==2.3.0
# via matplotlib
python-dateutil==2.7.5
# via
# jupyter-client
# matplotlib
# pandas
python-sat==0.1.3.dev25
pytz==2018.7 # via google-api-core, pandas
pyzmq==17.1.2 # via jupyter-client, notebook
requests==2.21.0 # via google-api-core
rsa==4.0 # via google-auth, oauth2client
scikit-learn==0.20.1 # via sklearn
# via -r requirements.in
pytz==2018.7
# via
# google-api-core
# pandas
pyzmq==17.1.2
# via
# jupyter-client
# notebook
requests==2.21.0
# via
# google-api-core
# requests-oauthlib
# tensorboard
requests-oauthlib==1.3.0
# via google-auth-oauthlib
rsa==4.0
# via
# google-auth
# oauth2client
scikit-learn==0.20.1
# via sklearn
scipy==1.1.0
send2trash==1.5.0 # via notebook
six==1.12.0 # via absl-py, bleach, cycler, google-api-core, google-api-python-client, google-auth, google-resumable-media, grpcio, h5py, keras-preprocessing, oauth2client, prompt-toolkit, protobuf, python-dateutil, python-sat, tensorboard, tensorflow, traitlets
# via
# -r requirements.in
# scikit-learn
send2trash==1.5.0
# via notebook
six==1.15.0
# via
# absl-py
# astunparse
# bleach
# cycler
# google-api-core
# google-api-python-client
# google-auth
# google-pasta
# google-resumable-media
# grpcio
# keras-preprocessing
# oauth2client
# prompt-toolkit
# protobuf
# python-dateutil
# python-sat
# tensorflow
# traitlets
sklearn==0.0
# via -r requirements.in
sympy==1.3
tensorboard==1.12.0 # via tensorflow
tensorflow==1.12
termcolor==1.1.0 # via tensorflow
terminado==0.8.1 # via notebook
testpath==0.4.2 # via nbconvert
tornado==5.1.1 # via ipykernel, jupyter-client, notebook, terminado
# via -r requirements.in
tensorboard==2.6.0
# via tensorflow
tensorboard-data-server==0.6.1
# via tensorboard
tensorboard-plugin-wit==1.8.0
# via tensorboard
tensorflow==2.5.1
# via -r requirements.in
tensorflow-estimator==2.5.0
# via tensorflow
termcolor==1.1.0
# via tensorflow
terminado==0.8.1
# via notebook
testpath==0.4.2
# via nbconvert
tornado==5.1.1
# via
# ipykernel
# jupyter-client
# notebook
# terminado
tqdm==4.31.1
traitlets==4.3.2 # via ipykernel, ipython, jupyter-client, jupyter-core, nbconvert, nbformat, notebook
uritemplate==3.0.0 # via google-api-python-client
urllib3==1.24.1 # via requests
wcwidth==0.1.7 # via prompt-toolkit
webencodings==0.5.1 # via bleach
werkzeug==0.14.1 # via tensorboard
wheel==0.32.3 # via tensorboard, tensorflow
# via -r requirements.in
traitlets==4.3.2
# via
# ipykernel
# ipython
# jupyter-client
# jupyter-core
# nbconvert
# nbformat
# notebook
typing-extensions==3.7.4.3
# via tensorflow
uritemplate==3.0.0
# via google-api-python-client
urllib3==1.24.1
# via requests
wcwidth==0.1.7
# via prompt-toolkit
webencodings==0.5.1
# via bleach
werkzeug==0.14.1
# via tensorboard
wheel==0.37.0
# via
# astunparse
# tensorboard
# tensorflow
wrapt==1.12.1
# via tensorflow