Add parameter_name support to _mx_inference_linear_transform

[jcaip]

Stack from ghstack (oldest at bottom):

• Add parameter_name support to _nvfp4_weight_only_linear_transform #3977
• Add parameter_name support to _nvfp4_inference_linear_transform #3976
• -> Add parameter_name support to _mx_inference_linear_transform #3975

Add parameter_name keyword-only argument to support FqnToConfig
per-parameter quantization. Replace module.weight reads/writes with
getattr/setattr, and use _module_extra_repr partial pattern.

[pytorch-bot]

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❌ 1 New Failure, 1 Unrelated Failure

As of commit e4bb6ea with merge base cd062f2 ():

NEW FAILURE - The following job has failed:

• Run 1xH100 Tests / test (H100, linux.aws.h100, --pre torch torchvision torchaudio mslk --index-url https://download.... / linux-job (gh)
  RuntimeError: Command docker exec -t 91a412ca69375f075618349102262a57f3cb3640ab76ecce4eb4664f14fe1ee8 /exec failed with exit code 1

BROKEN TRUNK - The following job failed but were present on the merge base:

👉 Rebase onto the `viable/strict` branch to avoid these failures

• Run Regression Tests / test-nightly (CPU Nightly, linux.4xlarge, --pre torch --index-url https://download.pytorch.org/wh... / linux-job (gh) (trunk failure)
  test/quantization/pt2e/test_x86inductor_fusion.py::DynamicShapesCppWrapperCpuTests::test_qlinear_add_int8_mixed_bf16_use_relu_True_is_qat_True_is_dynamic_True_dynamic_shapes_cpp_wrapper

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