run benchmarks

[tachella]

This PR adds the run_benchmark function to this repo such that users can quickly evaluate their model on a given benchmark as

from deepinv_bench import run_benchmark
my_solver = lambda y, physics: ...  # your solver here
results = run_benchmark(my_solver, "benchmark_name")

@tomMoral is there an easy way to do this with benchopt? see todo in the PR :)

[tachella]

many thanks for the proposed solution!

I'm getting an error when running locally, I was wondering if you get the same?

[tachella]

why do we need this?

[tachella]

I'm getting an error when running locally, do you get the same?

ValueError: Objective.evaluate_result() should contain a key named 'value' to be used with this stopping_criterion. The name of this key can be changed via the 'key_to_monitor' parameter. Available keys are ['PSNR', 'PSNR_std', 'NIQE', 'NIQE_std', 'runtime']