问题
I'm trying to deploy a Streamlit app written in python to Heroku. My whole directory is 4.73 MB, where 4.68 MB is my ML model. My requirements.txt looks like this:
absl-py==0.9.0
altair==4.0.1
astor==0.8.1
attrs==19.3.0
backcall==0.1.0
base58==2.0.0
bleach==3.1.3
blinker==1.4
boto3==1.12.29
botocore==1.15.29
cachetools==4.0.0
certifi==2019.11.28
chardet==3.0.4
click==7.1.1
colorama==0.4.3
cycler==0.10.0
decorator==4.4.2
defusedxml==0.6.0
docutils==0.15.2
entrypoints==0.3
enum-compat==0.0.3
future==0.18.2
gast==0.2.2
google-auth==1.11.3
google-auth-oauthlib==0.4.1
google-pasta==0.2.0
grpcio==1.27.2
h5py==2.10.0
idna==2.9
importlib-metadata==1.5.2
ipykernel==5.2.0
ipython==7.13.0
ipython-genutils==0.2.0
ipywidgets==7.5.1
jedi==0.16.0
Jinja2==2.11.1
jmespath==0.9.5
joblib==0.14.1
jsonschema==3.2.0
jupyter-client==6.1.1
jupyter-core==4.6.3
Keras-Applications==1.0.8
Keras-Preprocessing==1.1.0
kiwisolver==1.1.0
Markdown==3.2.1
MarkupSafe==1.1.1
matplotlib==3.2.1
mistune==0.8.4
nbconvert==5.6.1
nbformat==5.0.4
notebook==6.0.3
numpy==1.18.2
oauthlib==3.1.0
opencv-python==4.2.0.32
opt-einsum==3.2.0
pandas==1.0.3
pandocfilters==1.4.2
parso==0.6.2
pathtools==0.1.2
pickleshare==0.7.5
Pillow==7.0.0
prometheus-client==0.7.1
prompt-toolkit==3.0.4
protobuf==3.11.3
pyasn1==0.4.8
pyasn1-modules==0.2.8
pydeck==0.3.0b2
Pygments==2.6.1
pyparsing==2.4.6
pyrsistent==0.16.0
python-dateutil==2.8.0
pytz==2019.3
pywinpty==0.5.7
pyzmq==19.0.0
requests==2.23.0
requests-oauthlib==1.3.0
rsa==4.0
s3transfer==0.3.3
scikit-learn==0.22.2.post1
scipy==1.4.1
Send2Trash==1.5.0
six==1.14.0
sklearn==0.0
streamlit==0.56.0
tensorboard==2.1.1
tensorflow==2.1.0
tensorflow-estimator==2.1.0
termcolor==1.1.0
terminado==0.8.3
testpath==0.4.4
toml==0.10.0
toolz==0.10.0
tornado==5.1.1
traitlets==4.3.3
tzlocal==2.0.0
urllib3==1.25.8
validators==0.14.2
watchdog==0.10.2
wcwidth==0.1.9
webencodings==0.5.1
Werkzeug==1.0.0
widgetsnbextension==3.5.1
wincertstore==0.2
wrapt==1.12.1
zipp==3.1.0
When I push my app to Heroku, the message is:
remote: -----> Discovering process types
remote: Procfile declares types -> web
remote:
remote: -----> Compressing...
remote: ! Compiled slug size: 623.5M is too large (max is 500M).
remote: ! See: http://devcenter.heroku.com/articles/slug-size
remote:
remote: ! Push failed
How can my slug size be too large? Is it the size of the requirements? Then how is it possible to deploy a python app using tensorflow to Heroku after all? Thanks for the help!
回答1:
I have already answered this here.
Turns out the Tensorflow 2.0 module is very large (more than 500MB, the limit for Heroku) because of its GPU support. Since Heroku doesn't support GPU, it doesn't make sense to install the module with GPU support.
Solution:
Simply replace tensorflow with tensorflow-cpu in your requirements.
This worked for me, hope it works for you too!
回答2:
Just replace your TensorFlow version to 2.0.0 by doing: tensorflow==2.0.0
It has a much lighter whl file and will fit your memory limit.
Also, you can use 1.7.0 or 1.5.0 versions.
回答3:
just use tensorflow version 1.14 as it is almost half the size of tf2.0+ and servers most purposes.
In my case the slug size almost halved from tf1.14(580MB) at place of tf.2.1(280MB)
回答4:
it means when downloaded all your requirements are summing upto 600mb but you have only 500mb of memory
来源：https://stackoverflow.com/questions/61062303/deploy-python-app-to-heroku-slug-size-too-large