Is there a functionality to get number of different configs for Ray Tune based on the search space and num_samples?

[kaushikb11]

# 13 different configs.
tune.run(trainable, num_samples=13, config={
    "x": tune.choice([0, 1, 2]),
    "y": tune.randn([0, 1, 2]),
    }
)

# 6 different configs.
tune.run(trainable, config={"x": tune.grid_search([1, 2, 3])}, num_samples=2)

[rliaw]

Hmm, I think there is no built-in dry-run capability, but you can read more about this here: https://docs.ray.io/en/master/tune/api_docs/search_space.html#overview