crooked-artist-67935
-d staging
development
/usr/bin/pyflyte register -p flytetester -d staging -i <image> atomwise/examples/flyte/
Running pyflyte register from /app/atomwise/examples/flyte/canonicalize_smiles_py_image.binary.runfiles/__main__ with images ImageConfig(default_image=Image(name='default', fqn='<account>/flyte_canonicalize_smiles', tag='<tag>'), images=[Image(name='default', fqn='<account>/flyte_canonicalize_smiles', tag='<tag>')]) and image destination folder staging on 1 package(s) ('/app/atomwise/examples/flyte/canonicalize_smiles_py_image.binary.runfiles/__main__/atomwise/exmples/flyte',)
agreeable-kitchen-44189
flytekit
python -c "import flytekit;print(flytekit.__version__)"
<1.3.0
--domain
-d
--destination-dir
development/
Flyte enables production-grade orchestration for machine learning workflows and data processing created to accelerate local workflows to production.