pytorch · jerryzh168 · Jul 8, 2025 · Jul 8, 2025
diff --git a/_static/img/bert.png b/_static/img/bert.png
diff --git a/_static/img/compare_output.png b/_static/img/compare_output.png
diff --git a/_static/img/compare_stub.png b/_static/img/compare_stub.png
diff --git a/_static/img/pt2e_quant_xpu_inductor.png b/_static/img/pt2e_quant_xpu_inductor.png
diff --git a/_static/img/quant_asym.png b/_static/img/quant_asym.png
diff --git a/_static/img/quantized_transfer_learning.png b/_static/img/quantized_transfer_learning.png
diff --git a/_static/img/shadow.png b/_static/img/shadow.png
diff --git a/_static/img/thumbnails/cropped/experimental-Dynamic-Quantization-on-BERT.png b/_static/img/thumbnails/cropped/experimental-Dynamic-Quantization-on-BERT.png
diff --git a/...ls/cropped/experimental-Dynamic-Quantization-on-an-LSTM-Word-Language-Model.png b/...ls/cropped/experimental-Dynamic-Quantization-on-an-LSTM-Word-Language-Model.png
diff --git a/_static/img/thumbnails/cropped/mobile.png b/_static/img/thumbnails/cropped/mobile.png
diff --git a/_static/img/thumbnails/cropped/using-dynamic-post-training-quantization.png b/_static/img/thumbnails/cropped/using-dynamic-post-training-quantization.png
diff --git a/advanced_source/dynamic_quantization_tutorial.py b/advanced_source/dynamic_quantization_tutorial.py
diff --git a/index.rst b/index.rst
@@ -5,7 +5,6 @@ Welcome to PyTorch Tutorials
 
 * `Utilizing Torch Function modes with torch.compile <https://pytorch.org/tutorials/recipes/torch_compile_torch_function_modes.html>`__
 * `Context Parallel Tutorial <https://pytorch.org/tutorials/prototype/context_parallel.html>`__
-* `PyTorch 2 Export Quantization with Intel GPU Backend through Inductor <https://pytorch.org/tutorials/prototype/pt2e_quant_xpu_inductor.html>`__
 * `(beta) Explicit horizontal fusion with foreach_map and torch.compile <https://pytorch.org/tutorials/recipes/foreach_map.html>`__
 * Updated `Inductor Windows CPU Tutorial <https://pytorch.org/tutorials/prototype/inductor_windows.html>`__
 
@@ -577,34 +576,6 @@ Welcome to PyTorch Tutorials
    :link: advanced/semi_structured_sparse.html
    :tags: Text,Model-Optimization
 
-.. customcarditem::
-   :header: (beta) Dynamic Quantization on an LSTM Word Language Model
-   :card_description: Apply dynamic quantization, the easiest form of quantization, to a LSTM-based next word prediction model.
-   :image: _static/img/thumbnails/cropped/experimental-Dynamic-Quantization-on-an-LSTM-Word-Language-Model.png
-   :link: advanced/dynamic_quantization_tutorial.html
-   :tags: Text,Quantization,Model-Optimization
-
-.. customcarditem::
-   :header: (beta) Dynamic Quantization on BERT
-   :card_description: Apply the dynamic quantization on a BERT (Bidirectional Embedding Representations from Transformers) model.
-   :image: _static/img/thumbnails/cropped/experimental-Dynamic-Quantization-on-BERT.png
-   :link: intermediate/dynamic_quantization_bert_tutorial.html
-   :tags: Text,Quantization,Model-Optimization
-
-.. customcarditem::
-   :header: (beta) Quantized Transfer Learning for Computer Vision Tutorial
-   :card_description: Extends the Transfer Learning for Computer Vision Tutorial using a quantized model.
-   :image: _static/img/thumbnails/cropped/60-min-blitz.png
-   :link: intermediate/quantized_transfer_learning_tutorial.html
-   :tags: Image/Video,Quantization,Model-Optimization
-
-.. customcarditem::
-   :header: (beta) Static Quantization with Eager Mode in PyTorch
-   :card_description: This tutorial shows how to do post-training static quantization.
-   :image: _static/img/thumbnails/cropped/60-min-blitz.png
-   :link: advanced/static_quantization_tutorial.html
-   :tags: Quantization
-
 .. customcarditem::
    :header: Multi-Objective Neural Architecture Search with Ax
    :card_description: Learn how to use Ax to search over architectures find optimal tradeoffs between accuracy and latency.
@@ -1035,10 +1006,6 @@ Additional Resources
    beginner/hyperparameter_tuning_tutorial
    intermediate/parametrizations
    intermediate/pruning_tutorial
-   advanced/dynamic_quantization_tutorial
-   intermediate/dynamic_quantization_bert_tutorial
-   intermediate/quantized_transfer_learning_tutorial
-   advanced/static_quantization_tutorial
    intermediate/nvfuser_intro_tutorial
    intermediate/ax_multiobjective_nas_tutorial
    intermediate/torch_compile_tutorial