Update on "[executorch] Add TorchAO wrapper config to allow filter_fn for quantize_"

Fixing tests for stack that got reverted: #13264

Changes:

Support filter function in quantize_ function when using torchao quantize.
Update unittests accordingly
Use ComposableQuantizer if there are multiple quantizers and is of type torchao, for legacy quantizers use them directly with prepare_pt2e.
Source transform modifies model inplace, so deep copy first to avoid modifying user provided model.

Differential Revision: [D80206543](https://our.internmc.facebook.com/intern/diff/D80206543/)

[ghstack-poisoned]

Author: abhinaykukkadapu

backends/xnnpack/test/recipes/test_xnnpack_recipes.py

@@ -154,9 +154,6 @@ def forward(self, x) -> torch.Tensor:
                 self._compare_eager_quantized_model_outputs(
                     session, example_inputs, 1e-3
                 )
-                self._compare_eager_unquantized_model_outputs(
-                    session, model, example_inputs, 14
-                )
 
     def _get_recipe_for_quant_type(self, quant_type: QuantType) -> XNNPackRecipeType:
         # Map QuantType to corresponding recipe name.