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feat: [aiplatform] add annotation_labels to ImportDataConfig in aiplatform v1 dataset.proto #8725
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…ccelerator_type.proto feat: add annotation_labels to ImportDataConfig in aiplatform v1beta1 dataset.proto feat: add total_deployed_model_count and total_endpoint_count to QueryDeployedModelsResponse in aiplatform v1beta1 deployment_resource_pool_service.proto feat: add start_time to BatchReadFeatureValuesRequest in aiplatform v1beta1 featurestore_service.proto feat: add metadata_artifact to Model in aiplatform v1beta1 model.proto feat: add failed_main_jobs and failed_pre_caching_check_jobs to ContainerDetail in aiplatform v1beta1 pipeline_job.proto feat: add persist_ml_use_assignment to InputDataConfig in aiplatform v1beta1 training_pipeline.proto PiperOrigin-RevId: 485963130 Source-Link: googleapis/googleapis@af14709 Source-Link: https://github.com/googleapis/googleapis-gen/commit/3d9d484a0104e0ccc4367769b79305c2cb6fc3d8 Copy-Tag: eyJwIjoiamF2YS1haXBsYXRmb3JtLy5Pd2xCb3QueWFtbCIsImgiOiIzZDlkNDg0YTAxMDRlMGNjYzQzNjc3NjliNzkzMDVjMmNiNmZjM2Q4In0=
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…set.proto feat: add start_time to BatchReadFeatureValuesRequest in aiplatform v1 featurestore_service.proto feat: add metadata_artifact to Model in aiplatform v1 model.proto feat: add failed_main_jobs and failed_pre_caching_check_jobs to ContainerDetail in aiplatform v1 pipeline_job.proto feat: add persist_ml_use_assignment to InputDataConfig in aiplatform v1 training_pipeline.proto PiperOrigin-RevId: 485963171 Source-Link: googleapis/googleapis@9691f51 Source-Link: https://github.com/googleapis/googleapis-gen/commit/85710316f329dfc73f244610eb019924e4580a56 Copy-Tag: eyJwIjoiamF2YS1haXBsYXRmb3JtLy5Pd2xCb3QueWFtbCIsImgiOiI4NTcxMDMxNmYzMjlkZmM3M2YyNDQ2MTBlYjAxOTkyNGU0NTgwYTU2In0=
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feat: [aiplatform] add NVIDIA_A100_80GB to AcceleratorType in aiplatform v1beta1 accelerator_type.proto
feat: [aiplatform] add annotation_labels to ImportDataConfig in aiplatform v1 dataset.proto
Nov 4, 2022
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feat: add start_time to BatchReadFeatureValuesRequest in aiplatform v1 featurestore_service.proto
feat: add metadata_artifact to Model in aiplatform v1 model.proto
feat: add failed_main_jobs and failed_pre_caching_check_jobs to ContainerDetail in aiplatform v1 pipeline_job.proto
feat: add persist_ml_use_assignment to InputDataConfig in aiplatform v1 training_pipeline.proto
PiperOrigin-RevId: 485963171
Source-Link: googleapis/googleapis@9691f51
Source-Link: https://github.com/googleapis/googleapis-gen/commit/85710316f329dfc73f244610eb019924e4580a56
Copy-Tag: eyJwIjoiamF2YS1haXBsYXRmb3JtLy5Pd2xCb3QueWFtbCIsImgiOiI4NTcxMDMxNmYzMjlkZmM3M2YyNDQ2MTBlYjAxOTkyNGU0NTgwYTU2In0=
BEGIN_NESTED_COMMIT
feat: [aiplatform] add NVIDIA_A100_80GB to AcceleratorType in aiplatform v1beta1 accelerator_type.proto
feat: add annotation_labels to ImportDataConfig in aiplatform v1beta1 dataset.proto
feat: add total_deployed_model_count and total_endpoint_count to QueryDeployedModelsResponse in aiplatform v1beta1 deployment_resource_pool_service.proto
feat: add start_time to BatchReadFeatureValuesRequest in aiplatform v1beta1 featurestore_service.proto
feat: add metadata_artifact to Model in aiplatform v1beta1 model.proto
feat: add failed_main_jobs and failed_pre_caching_check_jobs to ContainerDetail in aiplatform v1beta1 pipeline_job.proto
feat: add persist_ml_use_assignment to InputDataConfig in aiplatform v1beta1 training_pipeline.proto
PiperOrigin-RevId: 485963130
Source-Link: googleapis/googleapis@af14709
Source-Link: https://github.com/googleapis/googleapis-gen/commit/3d9d484a0104e0ccc4367769b79305c2cb6fc3d8
Copy-Tag: eyJwIjoiamF2YS1haXBsYXRmb3JtLy5Pd2xCb3QueWFtbCIsImgiOiIzZDlkNDg0YTAxMDRlMGNjYzQzNjc3NjliNzkzMDVjMmNiNmZjM2Q4In0=
END_NESTED_COMMIT