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Changes include: - adds version label - adds a minimum pipeline versions supported by the task - adds tags for task - modified description to add a summary This patch moves the bentoml files to the task directory and renames the yaml file - The yaml filename is changed to match the resource name Issue: #386 Signed-off-by: Puneet Punamiya <ppunamiy@redhat.com> |
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README.md |
BentoML
This task allows operations on BentoML services.
Why BentoML Task?
BentoML now supports the ability to retrieve artifact bundles via its cli. This will allow for in integration with CI, so models can be safely packaged into containers and deployed without any manual effort. The build context is auto-generated by BentoML and can be easily connected to CI/CD pipelines. This task offers a new pattern for data scientists.
Parameters
-
YATAISERVICE: Optional address of YataiService to connect to for command.
default: ""`
-
ARGS: The arguments to pass to
bentoml
CLI. This parameter is required to run this task.
Examples
Run bentoml --help
for BentoML usage. Using the Tekton CLI (tkn
):
Use bentoml to retrieve a full ML build environment in the cwd:
tkn task start bentoml -p ARGS="retrieve ServiceName:20200616152703_9E2AD7","YATAISERVICE=10.10.10.1:50051 --target_dir=/workspace/storage"