platforms/gke-aiml/playground/gateway.tf (2 lines): - line 238: # TODO: Look at adding validation that the OAuth brand exists - line 248: # TODO: Look at possibly converting to google_iap_web_backend_service_iam_member, but would need the gateway to be created first. platforms/gke/base/core/gke_enterprise/configmanagement/git/kubernetes.tf (1 line): - line 17: cluster_host_url = "" # TODO: Find best way to get this value for regular clusters or with DNS endpoints use-cases/rag-pipeline/data-preprocessing/src/preprocessing_rag.py (1 line): - line 49: # TODO: Add logic to handled checkpointing if required platforms/gke/base/_shared_config/configmanagement_variables.tf (1 line): - line 47: # TODO: Add validations platforms/gke-aiml/playground/mvp_alloydb.tf (1 line): - line 238: # TODO: This should be removed when functionality is run as the alloydb_user, not the alloydb_superuser platforms/gke/base/core/gke_enterprise/configmanagement/git/_configmanagement_variables.tf (1 line): - line 47: # TODO: Add validations use-cases/inferencing/benchmark/src/tasks.py (1 line): - line 29: # TODO: Add logic to handled checkpointing if required use-cases/model-fine-tuning-pipeline/model-eval/src/validate_fine_tuned_model.py (1 line): - line 32: # TODO: Add logic to handled checkpointing if required use-cases/model-fine-tuning-pipeline/data-processing/ray/src/preprocessing_finetuning.py (1 line): - line 49: # TODO: Add logic to handled checkpointing if required platforms/gke/base/core/gke_enterprise/configmanagement/oci/_configmanagement_variables.tf (1 line): - line 47: # TODO: Add validations use-cases/model-fine-tuning-pipeline/data-preparation/gemma-it/src/dataprep.py (1 line): - line 354: # TODO: Add logic to handled checkpointing if required platforms/gke/base/use-cases/federated-learning/terraform/config_management/_configmanagement_variables.tf (1 line): - line 47: # TODO: Add validations platforms/gke/base/use-cases/federated-learning/terraform/cloud_storage/_configmanagement_variables.tf (1 line): - line 47: # TODO: Add validations use-cases/model-fine-tuning-pipeline/fine-tuning/pytorch/src/fine_tune.py (1 line): - line 38: # TODO: Add logic to handled checkpointing if required use-cases/inferencing/batch-inference/src/run_batch_predictions.py (1 line): - line 33: # TODO: Add logic to handled checkpointing if required platforms/gke/base/core/initialize/_configmanagement_variables.tf (1 line): - line 47: # TODO: Add validations