[quant][pt2e] Add documentation for pt2 export static quant

Summary: att Test Plan: visual inspection Reviewers: Subscribers: Tasks: Tags: ghstack-source-id: 8a5653e65cefcb7d6c2e251a2dc1191c0a5deb20 Pull Request resolved: #2504
pytorch · Jul 20, 2023 · 2cb8aff · 2cb8aff
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diff --git a/prototype_source/fx_graph_mode_ptq_static.rst b/prototype_source/fx_graph_mode_ptq_static.rst
@@ -242,7 +242,7 @@ of the observers for activation and weight. ``QConfigMapping`` contains mapping
   qconfig_mapping = (QConfigMapping()
       .set_global(qconfig_opt)  # qconfig_opt is an optional qconfig, either a valid qconfig or None
       .set_object_type(torch.nn.Conv2d, qconfig_opt) # can be a callable...
-      .set_object_type("torch.nn.functional.add", qconfig_opt) # ...or a string of the class name
+      .set_object_type("reshape", qconfig_opt) # ...or a string of the method name
       .set_module_name_regex("foo.*bar.*conv[0-9]+", qconfig_opt) # matched in order, first match takes precedence
       .set_module_name("foo.bar", qconfig_opt)
       .set_module_name_object_type_order()

diff --git a/prototype_source/prototype_index.rst b/prototype_source/prototype_index.rst
@@ -75,6 +75,13 @@ Prototype features are not available as part of binary distributions like PyPI o
    :link: ../prototype/quantization_in_pytorch_2_0_export_tutorial.html
    :tags: Quantization
 
+.. customcarditem::
+   :header: PyTorch 2.0 Export Post Training Static Quantization
+   :card_description: Learn how to use Post Training Static Quantization in PyTorch 2.0 Export.
+   :image: ../_static/img/thumbnails/cropped/generic-pytorch-logo.png
+   :link: ../prototype/pt2e_quant_ptq_static.html
+   :tags: Quantization          
+
 .. Mobile
 
 .. customcarditem::