keras example mnist_mlp.R with cloudml

[philipus]

I have got problems (see below) by applying mnist_mlp.R (https://github.com/rstudio/keras/blob/master/vignettes/examples/mnist_mlp.R) using cloudml_train on google cloud platform.

Any Idea what I can do. On my computer the code (mnist_mlp.R) works fine.

R commands:

library(cloudml)
cloudml_train("mnist_mlp.R", config = "config.yml")

config.yml:

trainingInput:
scaleTier: BASIC
runtimeVersion: "2.1"
pythonVersion: "3.7"

error message in logs of the google cloud platform:

"Traceback (most recent call last):
File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
"main", mod_spec)
File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
exec(code, run_globals)
File "/root/.local/lib/python3.7/site-packages/cloudml-model/cloudml/deploy.py", line 40, in
sys.stdout.write(line)
TypeError: write() argument must be str, not bytes
"

[pzet]

This issue is resolved in pull request #207. Briefly, this originates from different coding between the default Python 2.7 and 3.X versions and you need to change decoding to "UTF-8" in the deploy.py file to make it work.

[philipus]

Thank you, that worked out for me!