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chore(components): Change #AutoML #Vision data converter output artifact type 

PiperOrigin-RevId: 580344061
This commit is contained in:
Changyu Zhu 2023-11-07 16:56:49 -08:00 committed by Google Cloud Pipeline Components maintainers
parent 033bfa264d
commit 79a916d067
2 changed files with 4 additions and 3 deletions
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1
components/google-cloud/RELEASE.md
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@ -1,6 +1,7 @@
## Upcoming release
* Bump supported KFP versions to kfp>=2.0.0b10,<=2.4.0
* Add LLM Eval pipeline parameter for customizing eval dataset reference ground truth field
* Fix the output parameter `output_dir` of `preview.automl.vision.DataConverterJobOp`.
## Release 2.5.0
* Upload tensorboard metrics from `preview.llm.rlhf_pipeline` if a `tensorboard_resource_id` is provided at runtime.

6
components/google-cloud/google_cloud_pipeline_components/preview/automl/vision/data_converter.py
View File

@ -29,7 +29,7 @@ def data_converter(
input_file_path: str,
input_file_type: str,
objective: str,
output_dir: dsl.OutputPath(str),
output_dir: dsl.Output[dsl.Artifact],
gcp_resources: dsl.OutputPath(str),
location: str = 'us-central1',
timeout: str = '604800s',
@ -59,7 +59,7 @@ def data_converter(
encryption_spec_key_name: Customer-managed encryption key options for the CustomJob. If this is set, then all resources created by the CustomJob will be encrypted with the provided encryption key.
project: Project to create the custom training job in. Defaults to the project in which the PipelineJob is run.
Returns:
output_dir: Cloud Storage directory storing converted data and pipeline information.
output_dir: Cloud Storage directory storing converted data.
gcp_resources: Serialized JSON of `gcp_resources` [proto](https://github.com/kubeflow/pipelines/tree/master/components/google-cloud/google_cloud_pipeline_components/proto) which tracks the CustomJob.
"""
# fmt: on
@ -83,7 +83,7 @@ def data_converter(
'--objective',
objective,
'--output_dir',
output_dir,
output_dir.path,
IfPresent(
input_name='output_shape',
then=Concat('--output_shape', output_shape),