[quant][docs] Add x86 inductor quant docs

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ghstack-source-id: 3b9cef0d6a8f4b2322c8c030a906a73d133e9e8e
Pull Request resolved: #112648

docs/source/quantization.rst

@@ -557,8 +557,14 @@ API Example::
 
 Please follow these tutorials to get started on PyTorch 2 Export Quantization:
 
+Modeling Users:
+
 - `PyTorch 2 Export Post Training Quantization <https://pytorch.org/tutorials/prototype/pt2e_quant_ptq.html>`_
+- `PyTorch 2 Export Post Training Quantization with X86 Backend through Inductor <https://pytorch.org/tutorials/prototype/pt2e_quant_ptq_x86_inductor.html>`_
 - `PyTorch 2 Export Quantization Aware Training <https://pytorch.org/tutorials/prototype/pt2e_quant_qat.html>`_
+
+Backend Developers (please check out all Modeling Users docs as well):
+
 - `How to Write a Quantizer for PyTorch 2 Export Quantization <https://pytorch.org/tutorials/prototype/pt2e_quantizer.html>`_
 
 
@@ -1401,4 +1407,4 @@ Please take a look at `Limitations of Symbolic Tracing <https://pytorch.org/docs
 .. py:module:: torch.quantization.quantize_fx
 .. py:module:: torch.quantization.quantize_jit
 .. py:module:: torch.quantization.stubs
-.. py:module:: torch.quantization.utils
+.. py:module:: torch.quantization.utils