Merge branch 'main' into add-sphinx-redirect

Author: svekars

.jenkins/validate_tutorials_built.py

@@ -48,7 +48,6 @@
     "recipes_source/recipes/timer_quick_start",
     "recipes_source/recipes/amp_recipe",
     "recipes_source/recipes/Captum_Recipe",
-    "intermediate_source/flask_rest_api_tutorial",
     "intermediate_source/text_to_speech_with_torchaudio",
     "intermediate_source/tensorboard_profiler_tutorial", # reenable after 2.0 release.
     "advanced_source/semi_structured_sparse", # reenable after 3303 is fixed.

.lycheeignore

@@ -13,8 +13,5 @@ https://pytorch.org/tutorials/beginner/colab/n
 # Ignore local host link from intermediate_source/tensorboard_tutorial.rst
 http://localhost:6006
 
-# Ignore local host link from recipes_source/deployment_with_flask.rst
-http://localhost:5000/predict 
-
 # Ignore local host link from advanced_source/cpp_frontend.rst 
 https://www.uber.com/blog/deep-neuroevolution/

beginner_source/deploy_seq2seq_hybrid_frontend_tutorial.py

@@ -184,7 +184,7 @@ def forward(self, x):
 #         inputs, labels = inputs.to(device), labels.to(device)
 #
 # The code now supports training on CPUs, on a single GPU, and on multiple GPUs. Notably, Ray
-# also supports `fractional GPUs <https://docs.ray.io/en/master/using-ray-with-gpus.html#fractional-gpus>`_
+# also supports `fractional GPUs <https://docs.ray.io/en/latest/ray-core/scheduling/accelerators.html#fractional-accelerators>`_
 # so we can share GPUs among trials, as long as the model still fits on the GPU memory. We'll come back
 # to that later.
 #

beginner_source/hyperparameter_tuning_tutorial.py

@@ -322,14 +322,6 @@ Welcome to PyTorch Tutorials
 
 .. Deploying PyTorch Models in Production
 
-
-.. customcarditem::
-   :header: Deploying PyTorch in Python via a REST API with Flask
-   :card_description: Deploy a PyTorch model using Flask and expose a REST API for model inference using the example of a pretrained DenseNet 121 model which detects the image.
-   :image: _static/img/thumbnails/cropped/Deploying-PyTorch-in-Python-via-a-REST-API-with-Flask.png
-   :link: intermediate/flask_rest_api_tutorial.html
-   :tags: Production
-
 .. customcarditem::
    :header: Introduction to TorchScript
    :card_description: Introduction to TorchScript, an intermediate representation of a PyTorch model (subclass of nn.Module) that can then be run in a high-performance environment such as C++.
@@ -620,20 +612,6 @@ Welcome to PyTorch Tutorials
    :link: advanced/static_quantization_tutorial.html
    :tags: Quantization
 
-.. customcarditem::
-   :header: Grokking PyTorch Intel CPU Performance from First Principles
-   :card_description: A case study on the TorchServe inference framework optimized with Intel® Extension for PyTorch.
-   :image: _static/img/thumbnails/cropped/generic-pytorch-logo.png
-   :link: intermediate/torchserve_with_ipex
-   :tags: Model-Optimization,Production
-
-.. customcarditem::
-   :header: Grokking PyTorch Intel CPU Performance from First Principles (Part 2)
-   :card_description: A case study on the TorchServe inference framework optimized with Intel® Extension for PyTorch (Part 2).
-   :image: _static/img/thumbnails/cropped/generic-pytorch-logo.png
-   :link: intermediate/torchserve_with_ipex_2
-   :tags: Model-Optimization,Production
-
 .. 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.
@@ -1005,7 +983,6 @@ Additional Resources
    :caption: Deploying PyTorch Models in Production
 
    beginner/onnx/intro_onnx
-   intermediate/flask_rest_api_tutorial
    beginner/Intro_to_TorchScript_tutorial
    advanced/cpp_export
    advanced/super_resolution_with_onnxruntime
@@ -1080,8 +1057,6 @@ Additional Resources
    intermediate/dynamic_quantization_bert_tutorial
    intermediate/quantized_transfer_learning_tutorial
    advanced/static_quantization_tutorial
-   intermediate/torchserve_with_ipex
-   intermediate/torchserve_with_ipex_2
    intermediate/nvfuser_intro_tutorial
    intermediate/ax_multiobjective_nas_tutorial
    intermediate/torch_compile_tutorial

index.rst

@@ -29,10 +29,6 @@ Intermediate tutorials
 	Spatial Transformer Networks Tutorial
 	https://pytorch.org/tutorials/intermediate/spatial_transformer_tutorial.html
 
-8. flask_rest_api_tutorial.py
-	Deploying PyTorch and Building a REST API using Flask
-	https://pytorch.org/tutorials/intermediate/flask_rest_api_tutorial.html
-
-9. nvfuser_intro_tutorial.py
+8. nvfuser_intro_tutorial.py
         Introduction to nvFuser
 	https://pytorch.org/tutorials/intermediate/nvfuser_intro_tutorial.html