Fix links for torchao tutorials (#2503)

Summary:
att

Test Plan:
see generated docs in PR

Reviewers:

Subscribers:

Tasks:

Tags:

Author: jerryzh168

docs/source/index.rst

@@ -55,5 +55,5 @@ for an overall introduction to the library and recent highlight and updates.
    tutorials_source/pt2e_quant_qat
    tutorials_source/pt2e_quant_x86_inductor
    tutorials_source/pt2e_quant_xpu_inductor
+   tutorials_source/pt2e_quant_openvino_inductor
    tutorials_source/pt2e_quantizer
-   tutorials_source/openvino_quantizer

docs/source/quick_start.rst

@@ -191,16 +191,16 @@ Please follow these tutorials to get started on PyTorch 2 Export Quantization:
 
 Modeling Users:
 
-- `PyTorch 2 Export Post Training Quantization <https://docs.pytorch.org/ao/stable/tutorial_source/pt2e_quant_ptq.html>`_
-- `PyTorch 2 Export Quantization Aware Training <ttps://docs.pytorch.org/ao/stable/tutorial_source/pt2e_quant_qat.html>`_
-- `PyTorch 2 Export Post Training Quantization with X86 Backend through Inductor <https://docs.pytorch.org/ao/stable/tutorial_source/pt2e_quant_x86_inductor.html>`_
-- `PyTorch 2 Export Post Training Quantization with XPU Backend through Inductor <https://docs.pytorch.org/ao/stable/tutorial_source/pt2e_quant_xpu_inductor.html>`_
-- `PyTorch 2 Export Quantization for OpenVINO torch.compile Backend <https://docs.pytorch.org/ao/stable/tutorial_source/pt2e_quant_openvino.html>`_
+- `PyTorch 2 Export Post Training Quantization <tutorials_source/pt2e_quant_ptq.html>`__
+- `PyTorch 2 Export Quantization Aware Training <tutorials_source/pt2e_quant_qat.html>`__
+- `PyTorch 2 Export Post Training Quantization with X86 Backend through Inductor <tutorials_source/pt2e_quant_x86_inductor.html>`__
+- `PyTorch 2 Export Post Training Quantization with XPU Backend through Inductor <tutorials_source/pt2e_quant_xpu_inductor.html>`__
+- `PyTorch 2 Export Quantization for OpenVINO torch.compile Backend <tutorials_source/pt2e_quant_openvino_inductor.html>`__
 
 
 Backend Developers (please check out all Modeling Users docs as well):
 
-- `How to Write a Quantizer for PyTorch 2 Export Quantization <https://docs.pytorch.org/ao/stable/tutorial_source/pt2e_quantizer.html>`_
+- `How to Write a Quantizer for PyTorch 2 Export Quantization <tutorials_source/pt2e_quantizer.html>`_
 
 
 Next Steps

docs/source/tutorials_source/pt2e_quant_openvino.rst renamed to docs/source/tutorials_source/pt2e_quant_openvino_inductor.rst

@@ -30,8 +30,34 @@ The quantization flow has three steps:
 
 The high-level architecture of this flow could look like this:
 
-.. image:: ../_static/img/pt2e_quant_xpu_inductor.png
-    :align: center
+::
+
+    float_model(Python)                          Example Input
+        \                                              /
+         \                                            /
+    —--------------------------------------------------------
+    |                         export                       |
+    —--------------------------------------------------------
+                                |
+                        FX Graph in ATen
+                                |            X86InductorQuantizer
+                                |                 /
+    —--------------------------------------------------------
+    |                      prepare_pt2e                     |
+    |                           |                           |
+    |                     Calibrate/Train                   |
+    |                           |                           |
+    |                      convert_pt2e                     |
+    —--------------------------------------------------------
+                                |
+                         Quantized Model
+                                |
+    —--------------------------------------------------------
+    |                    Lower into Inductor                |
+    —--------------------------------------------------------
+                                |
+           OneDNN kernels                Triton Kernels
+
 
 Post Training Quantization
 ----------------------------