[CI/Build][REDO] Add is_quant_method_supported to control quantization test configurations

[mgoin]

There were many separate uses of checking CUDA compute capability in order to run quantization tests, so it is best practice to have one function to be the source-of-truth to check support.

Instead of each quantization test having duplicated code such as:

from vllm.model_executor.layers.quantization import QUANTIZATION_METHODS

aqlm_not_supported = True

if torch.cuda.is_available():
    capability = torch.cuda.get_device_capability()
    capability = capability[0] * 10 + capability[1]
    aqlm_not_supported = (capability <
                          QUANTIZATION_METHODS["aqlm"].get_min_capability())

It can be replaced with:

from tests.quantization.utils import is_quant_method_supported

aqlm_not_supported = not is_quant_method_supported("aqlm")