Your data science team is training a PyTorch model for image classification based on a pre-trained RestNet model. You need to perform hyperparameter tuning to optimize for several parameters. What should you do?

A. Convert the model to a Keras model, and run a Keras Tuner job. B. Run a hyperparameter tuning job on AI Platform using custom containers. C. Create a Kuberflow Pipelines instance, and run a hyperparameter tuning job on Katib. D. Convert the model to a TensorFlow model, and run a hyperparameter tuning job on AI Platform.