TFX on Cloud AI Platform Pipelines: Skaffold not deployed on Notebooks instance

[jpatokal]

In Lab 02, "Exercise: deploy your pipeline container to AI Platform Pipelines with TFX CLI" fails because Skaffold is not installed by default:

No executable skaffold
please refer to https://github.com/GoogleContainerTools/skaffold/releases for installation instructions.
No container image is built.
Traceback (most recent call last):
  File "/home/jupyter/.local/lib/python3.7/site-packages/tfx/tools/cli/container_builder/skaffold_cli.py", line 40, in __init__
    stdout=subprocess.DEVNULL)
  File "/opt/conda/lib/python3.7/subprocess.py", line 512, in run
    output=stdout, stderr=stderr)
subprocess.CalledProcessError: Command '['which', 'skaffold']' returned non-zero exit status 1.

Skaffold can be installed by the following:

curl -Lo skaffold https://storage.googleapis.com/skaffold/releases/v1.30.0/skaffold-linux-amd64 && chmod +x skaffold && sudo mv skaffold /usr/local/bin