From b9c2f001e4c333ba61e006bc7ef8ace3372eaaae Mon Sep 17 00:00:00 2001
From: Svetlana Karslioglu <svekars@fb.com>
Date: Thu, 1 Sep 2022 13:27:36 -0700
Subject: [PATCH 1/4] Remove PyTorch Enterprise

---
 _get_started/installation/azure.md            |   9 --
 _includes/quick-start-module.js               |   3 +-
 _includes/quick_start_cloud_options.html      |   3 +-
 _includes/quick_start_local.html              |   2 -
 ...2021-5-25-announcing-pytorch-enterprise.md |  27 -----
 .../2021-8-3-pytorch-profiler-1.9-released.md |   2 +-
 ...generating-medical-reports-with-pytorch.md |   2 +-
 _resources/enterprise.md                      |   7 --
 enterprise/enterprise_landing.html            | 103 ------------------
 9 files changed, 4 insertions(+), 154 deletions(-)
 delete mode 100644 _posts/2021-5-25-announcing-pytorch-enterprise.md
 delete mode 100644 _resources/enterprise.md
 delete mode 100644 enterprise/enterprise_landing.html

diff --git a/_get_started/installation/azure.md b/_get_started/installation/azure.md
index e25dd0950e94..9c632fc46665 100644
--- a/_get_started/installation/azure.md
+++ b/_get_started/installation/azure.md
@@ -9,15 +9,6 @@ Azure [provides](https://azure.microsoft.com/en-us/services/machine-learning-ser
 * dedicated, pre-built [machine learning virtual machines](https://azure.microsoft.com/en-us/services/virtual-machines/data-science-virtual-machines/){:target="_blank"}, complete with PyTorch.
 * bare Linux and Windows virtual machines for you to do a custom install of PyTorch.
 
-## PyTorch Enterprise on Azure
-{: #pytorch-enterprise-on-azure}
-
-Microsoft is one of the founding members and also the inaugural participant of the [PyTorch Enterprise Support Program](https://pytorch.org/enterprise-support-program). Microsoft offers PyTorch Enterprise on Azure as a part of Microsoft [Premier](https://www.microsoft.com/en-us/msservices/premier-support) and [Unified](https://www.microsoft.com/en-us/msservices/unified-support-solutions?activetab=pivot1:primaryr4) Support. The PyTorch Enterprise support service includes long-term support to selected versions of PyTorch for up to 2 years, prioritized troubleshooting, and the latest integration with [Azure Machine Learning](https://azure.microsoft.com/en-us/services/machine-learning/) and other PyTorch add-ons including ONNX Runtime for faster inference. 
-
-To learn more and get started with PyTorch Enterprise on Microsoft Azure, [visit here](https://azure.microsoft.com/en-us/develop/pytorch/).
-
-For documentation, [visit here](https://docs.microsoft.com/en-us/azure/pytorch-enterprise/).
-
 ## Azure Primer
 {: #microsoft-azure-primer}
 
diff --git a/_includes/quick-start-module.js b/_includes/quick-start-module.js
index 862611797807..b2fbc29de759 100644
--- a/_includes/quick-start-module.js
+++ b/_includes/quick-start-module.js
@@ -259,14 +259,13 @@ $("[data-toggle='cloud-dropdown']").on("click", function(e) {
 
 function commandMessage(key) {
   var object = {{ installMatrix }};
-  var lts_notice = "<div class='alert-secondary'><b>Note</b>: Additional support for these binaries may be provided by <a href='/enterprise-support-program' style='font-size:100%'>PyTorch Enterprise Support Program Participants</a>.</div>";
 
   if (!object.hasOwnProperty(key)) {
     $("#command").html(
       "<pre> # Follow instructions at this URL: https://github.com/pytorch/pytorch#from-source </pre>"
     );
   } else if (key.indexOf("lts") == 0  && key.indexOf('rocm') < 0) {
-    $("#command").html("<pre>" + object[key] + "</pre>" + lts_notice);
+    $("#command").html("<pre>" + object[key] + "</pre>");
   } else {
     $("#command").html("<pre>" + object[key] + "</pre>");
   }
diff --git a/_includes/quick_start_cloud_options.html b/_includes/quick_start_cloud_options.html
index dc38971c27c6..8ab03395b015 100644
--- a/_includes/quick_start_cloud_options.html
+++ b/_includes/quick_start_cloud_options.html
@@ -45,8 +45,7 @@
   <div class="cloud-option-row">
     <div class="cloud-option" data-toggle="cloud-dropdown">
       <div class="cloud-option-body microsoft-azure" id="microsoft-azure">
-        <p>Microsoft Azure -</p>
-        <span>PyTorch Enterprise Program</span>
+        <p>Microsoft Azure</p>
       </div>
 
       <ul>
diff --git a/_includes/quick_start_local.html b/_includes/quick_start_local.html
index 72f1abef482e..d6aed3c5c8b4 100644
--- a/_includes/quick_start_local.html
+++ b/_includes/quick_start_local.html
@@ -4,8 +4,6 @@
    package manager since it installs all dependencies. You can also
   <a href="{{ site.baseurl }}/get-started/previous-versions">install previous versions of PyTorch</a>. Note that LibTorch is only available for C++.
 </p>
-<p>Additional support or warranty for some PyTorch Stable and LTS binaries are available through the <a href="/enterprise-support-program">PyTorch Enterprise Support Program</a>.
-</p>
 
 <div class="row">
   <div class="col-md-3 headings">
diff --git a/_posts/2021-5-25-announcing-pytorch-enterprise.md b/_posts/2021-5-25-announcing-pytorch-enterprise.md
deleted file mode 100644
index 89c7740d6aee..000000000000
--- a/_posts/2021-5-25-announcing-pytorch-enterprise.md
+++ /dev/null
@@ -1,27 +0,0 @@
----
-layout: blog_detail
-title: 'Announcing the PyTorch Enterprise Support Program'
-author: Team PyTorch
----
-
-Today, we are excited to announce the [PyTorch Enterprise Support Program](http://pytorch.org/enterprise-support-program), a participatory program that enables service providers to develop and offer tailored enterprise-grade support to their customers. This new offering, built in collaboration between Facebook and Microsoft, was created in direct response to feedback from PyTorch enterprise users who are developing models in production at scale for mission-critical applications.
-
-The PyTorch Enterprise Support Program is available to any service provider. It is designed to mutually benefit all program Participants by sharing and improving PyTorch long-term support (LTS), including contributions of hotfixes and other improvements found while working closely with customers and on their systems.
-
-To benefit the open source community, all hotfixes developed by Participants will be tested and fed back to the LTS releases of PyTorch regularly through PyTorch’s standard pull request process. To participate in the program, a service provider must apply and meet a set of program terms and certification requirements. Once accepted, the service provider becomes a program Participant and can offer a packaged PyTorch Enterprise support service with LTS, prioritized troubleshooting, useful integrations, and more.
-
-<div class="col-md-5 enterprise-azure-logo-container">
-  <img src="{{ site.baseurl }}/assets/images/microsoft-azure.png" width="100%">
-</div>
-
-As one of the founding members and an inaugural member of the PyTorch Enterprise Support Program, Microsoft is launching [PyTorch Enterprise on Microsoft Azure](https://Aka.ms/PyTorchEnterpriseHeroBlog) to deliver a reliable production experience for PyTorch users. Microsoft will support each PyTorch release for as long as it is current. In addition, it will support selected releases for two years, enabling a stable production experience. Microsoft Premier and Unified Support customers can access prioritized troubleshooting for hotfixes, bugs, and security patches at no additional cost. Microsoft will extensively test PyTorch releases for performance regression. The latest release of PyTorch will be integrated with [Azure Machine Learning](https://azure.microsoft.com/en-us/services/machine-learning/) and other PyTorch add-ons including [ONNX Runtime](https://www.onnxruntime.ai/) for faster inference.
-
-PyTorch Enterprise on Microsoft Azure not only benefits its customers, but also the PyTorch community users. All improvements will be tested and fed back to the future release for PyTorch so everyone in the community can use them.
-
-As an organization or PyTorch user, the standard way of researching and deploying with different release versions of PyTorch does not change. If your organization is looking for the managed long-term support, prioritized patches, bug fixes, and additional enterprise-grade support, then you should reach out to service providers participating in the program.
-
-To learn more and participate in the program as a service provider, visit the [PyTorch Enterprise Support Program](http://pytorch.org/enterprise-support-program). If you want to learn more about Microsoft’s offering, visit [PyTorch Enterprise on Microsoft Azure](https://Aka.ms/PyTorchEnterpriseHeroBlog).
-
-Thank you,
-
-Team PyTorch
diff --git a/_posts/2021-8-3-pytorch-profiler-1.9-released.md b/_posts/2021-8-3-pytorch-profiler-1.9-released.md
index b969b4d0a655..25017a759208 100644
--- a/_posts/2021-8-3-pytorch-profiler-1.9-released.md
+++ b/_posts/2021-8-3-pytorch-profiler-1.9-released.md
@@ -207,7 +207,7 @@ For how to optimize batch size performance, check out the step-by-step tutorial
 ## What’s Next for the PyTorch Profiler?
 You just saw how PyTorch Profiler can help optimize a model. You can now try the Profiler by ```pip install torch-tb-profiler``` to optimize your PyTorch model. 
 
-Look out for an advanced version of this tutorial in the future. If you want tailored enterprise-grade support for this, check out [PyTorch Enterprise on Azure](https://azure.microsoft.com/en-us/develop/pytorch/). We are also thrilled to continue to bring state-of-the-art tool to PyTorch users to improve ML performance. We'd love to hear from you. Feel free to open an issue [here](https://github.com/pytorch/kineto/issues).   
+Look out for an advanced version of this tutorial in the future. We are also thrilled to continue to bring state-of-the-art tool to PyTorch users to improve ML performance. We'd love to hear from you. Feel free to open an issue [here](https://github.com/pytorch/kineto/issues).   
 
 For new and exciting features coming up with PyTorch Profiler, follow @PyTorch on Twitter and check us out on pytorch.org. 
 
diff --git a/_posts/2022-5-12-ambient-clinical-intelligence-generating-medical-reports-with-pytorch.md b/_posts/2022-5-12-ambient-clinical-intelligence-generating-medical-reports-with-pytorch.md
index f14c9e8b14e2..4b2635eb305f 100644
--- a/_posts/2022-5-12-ambient-clinical-intelligence-generating-medical-reports-with-pytorch.md
+++ b/_posts/2022-5-12-ambient-clinical-intelligence-generating-medical-reports-with-pytorch.md
@@ -261,7 +261,7 @@ Our journey in deploying the report generation models reflects the above discuss
 
 ### A maturing ecosystem
 
-Is it all roses? No, it has been a rockier journey than we expected. We encountered what seems to be a memory leak in the MKL libraries used by PyTorch while serving the PyTorch code directly. We encountered deadlocks in trying to load multiple models from multiple threads. We had difficulties exporting our models to ONNX and TorchScript formats. Models would not work out-of-the-box on hardware with multiple GPUs, they always accessed the particular GPU device on which they were exported. We encountered excessive memory usage in the Triton inference server while serving TorchScript models, which we found out was due to automatic differentiation accidentally being enabled during the forward pass. However, the ecosystem keeps improving, and there is a helpful and vibrant open-source community eager to work with us to mitigate such issues. Finally, for those of us that require enterprise-level support, Microsoft now offers Premier Support for use of PyTorch on Azure.
+Is it all roses? No, it has been a rockier journey than we expected. We encountered what seems to be a memory leak in the MKL libraries used by PyTorch while serving the PyTorch code directly. We encountered deadlocks in trying to load multiple models from multiple threads. We had difficulties exporting our models to ONNX and TorchScript formats. Models would not work out-of-the-box on hardware with multiple GPUs, they always accessed the particular GPU device on which they were exported. We encountered excessive memory usage in the Triton inference server while serving TorchScript models, which we found out was due to automatic differentiation accidentally being enabled during the forward pass. However, the ecosystem keeps improving, and there is a helpful and vibrant open-source community eager to work with us to mitigate such issues.
 
 Where to go from here? For those that require the flexibility of serving PyTorch code directly, without going through the extra step of exporting self-contained models, it is worth pointing out that the TorchServe project now provides a way of bundling the code together with parameter checkpoints into a single servable archive, greatly reducing the risk of code and parameters running apart. To us, however, exporting models to TorchScript has proven beneficial. It provides a clear interface between modeling and deployment teams, and TorchScript further reduces the latency when serving models on GPU via its just-in-time compilation engine.
 
diff --git a/_resources/enterprise.md b/_resources/enterprise.md
deleted file mode 100644
index f77f730ec6c8..000000000000
--- a/_resources/enterprise.md
+++ /dev/null
@@ -1,7 +0,0 @@
----
-title: Enterprise Program
-summary: Learn about PyTorch Enterprise Support Program
-link: https://pytorch.org/enterprise-support-program
-class: pytorch-resource
-order: 14
----
diff --git a/enterprise/enterprise_landing.html b/enterprise/enterprise_landing.html
deleted file mode 100644
index f17d80c7ec89..000000000000
--- a/enterprise/enterprise_landing.html
+++ /dev/null
@@ -1,103 +0,0 @@
----
-layout: default
-title: PyTorch Enterprise
-permalink: /enterprise-support-program
-body-class: mobile
-background-class: mobile-background
----
-
-<div class="jumbotron enterprise-jumbotron jumbotron-fluid on-dark-background">
-  <div class="container">
-    <h1>PyTorch Enterprise Support Program</h1>
-    <span></span>
-    <p class="lead">A participatory program to enable enterprise-grade support for PyTorch</p>
-  </div>
-</div>
-
-<div class="main-content-wrapper contributor-wrapper join-wrapper">
-  <div class="enterprise main-content">
-    <section class="container">
-      <div class="article-wrapper">
-        <p class="pyt-enterprise-logo"></p>
-        <p>
-          PyTorch Enterprise Support Program is a participatory program that enables service providers to develop and offer tailored enterprise-grade support to their customers.
-            This program was created in direct response to feedback from PyTorch enterprise users who are deploying models in production at scale for mission-critical applications.
-        </p>
-        <p>Read the program <a href="https://pytorch.org/blog/announcing-pytorch-enterprise">launch blog post.</a></p>
-      </div>
-    </section>
-
-
-    <section class="enterprise-gray-container">
-      <div class="container">
-        <div class="article-wrapper">
-          <h2>Support Services by Participants</h2>
-          <div class="col-md-4 enterprise-landing-azure-logo-container">
-            <img src="{{ site.baseurl }}/assets/images/MS-Azure_logo.png" width="100%">
-          </div>
-          <p>
-            Microsoft is one of the founding members and also the inaugural participant of the program. Microsoft offers PyTorch Enterprise on Azure as a part of Microsoft <a href="https://www.microsoft.com/en-us/msservices/premier-support">Premier</a> and <a href="https://www.microsoft.com/en-us/msservices/unified-support-solutions?activetab=pivot1:primaryr4">Unified</a> Support.
-            The PyTorch Enterprise support service includes long-term support to selected versions of PyTorch for up to 2 years, prioritized troubleshooting, and the latest integration with <a href="https://azure.microsoft.com/en-us/services/machine-learning/">Azure Machine Learning</a> and other PyTorch add-ons including ONNX Runtime for faster inference.
-          </p>
-          <p>To learn more and get started with PyTorch Enterprise on Azure, <a href="https://azure.microsoft.com/develop/pytorch/">visit here</a>.</p>
-          <p>For documentation, <a href="https://docs.microsoft.com/en-us/azure/pytorch-enterprise/">visit here</a>.</p>
-          <p>For nightly tests, <a href="https://pytorchonazure.net/">visit here</a>.</p>
-        </div>
-      </div>
-    </section>
-
-    <section class="container">
-      <div class="article-wrapper">
-        <h2>OPEN SOURCE CONTRIBUTIONS</h2>
-        <p>
-          All hotfixes done by Participants for their enterprise customers will be tested and fed back to the PyTorch long-term support (LTS) and other branches regularly. As a PyTorch user, you can use the LTS release branches of PyTorch. Program Participants will prioritize and answer pull requests of customers subscribed to their support services.
-          Any other PRs are reviewed the same as how they are handled for PyTorch. Development of PyTorch, including LTS branches and releases as a foundation for the PyTorch Enterprise Support Program, will continue to be in the open and open source.
-        </p>
-      </div>
-    </section>
-
-    <section class="enterprise-gray-container">
-      <div class="container">
-        <div class="article-wrapper">
-          <h2>Apply</h2>
-          <p>As a Participant of the program, providers are able to:</p>
-          <ul>
-            <li>
-              Provide a high-value 24x7 support service including troubleshooting and hotfixes for customers running PyTorch in mission-critical production environments.
-            </li>
-            <li>
-              Work with other Participants to share and improve PyTorch LTS point releases, including contributions of hotfixes and other improvements found while working closely with customers and on their systems.
-            </li>
-            <li>
-              Add test coverage for these fixes when PyTorch LTS releases are created.
-            </li>
-            <li>
-              Create an enterprise support service and brand it using the PyTorch trademark and logo, following the terms and conditions set forth in the PyTorch Enterprise Support Program.
-            </li>
-          </ul>
-          <p>To apply to be a Participant of the program, fill out this <a href="https://bit.ly/pte-participation-agreement">form</a> completely and email it to <a href="mailto:enterprise@pytorch.org">enterprise@pytorch.org.</a></p>
-        </div>
-      </div>
-    </section>
-
-    <section class="container">
-      <div class="article-wrapper">
-        <h2>PYTORCH ENTERPRISE SUPPORT PROGRAM RESOURCES</h2>
-        <ul>
-          <li>
-            <a href="{{ site.baseurl }}/assets/pte/PyTorch-Enterprise-Participation-Form.pdf" target="_blank">Participation Agreement</a>
-          </li>
-          <li>
-            <a href="{{ site.baseurl }}/assets/pte/PyTorch-Enterprise-Support-Program-Certification-Guide.pdf" target="_blank">Certification Guide</a>
-          </li>
-          <li>
-            <a href="{{ site.baseurl }}/assets/pte/PyTorch-Enterprise-Support-Program-Terms.pdf" target="_blank">Program Terms</a>
-          </li>
-          <li>
-            <a href="{{ site.baseurl }}/assets/pte/PyTorch-Enterprise-Support-Program-Brand-Guidelines-May2021.pdf" target="_blank">Program Brand Guidelines</a>
-          </li>
-        </ul>
-      </div>
-    </section>
-  </div>
-</div>

From 8369e88114f525008d1a818c61614e3b916827b2 Mon Sep 17 00:00:00 2001
From: Svetlana Karslioglu <svekars@fb.com>
Date: Thu, 1 Sep 2022 13:49:46 -0700
Subject: [PATCH 2/4] Update

---
 assets/quick-start-module.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/assets/quick-start-module.js b/assets/quick-start-module.js
index cc99a5ec4946..fdcb53d1d1f9 100644
--- a/assets/quick-start-module.js
+++ b/assets/quick-start-module.js
@@ -266,7 +266,7 @@ function commandMessage(key) {
       "<pre> # Follow instructions at this URL: https://github.com/pytorch/pytorch#from-source </pre>"
     );
   } else if (key.indexOf("lts") == 0  && key.indexOf('rocm') < 0) {
-    $("#command").html("<pre>" + object[key] + "</pre>" + lts_notice);
+    $("#command").html("<pre>" + object[key] + "</pre>");
   } else {
     $("#command").html("<pre>" + object[key] + "</pre>");
   }

From f0e441f86547e9c045e554153c006235dbbfb0e4 Mon Sep 17 00:00:00 2001
From: Nikita Shulga <nshulga@fb.com>
Date: Tue, 6 Sep 2022 15:49:07 +0000
Subject: [PATCH 3/4] Regenerate quick-start-module.js

By running:
```
  python3 scripts/gen_quick_start_module.py >assets/quick-start-module.js
```
---
 assets/quick-start-module.js | 1 -
 1 file changed, 1 deletion(-)

diff --git a/assets/quick-start-module.js b/assets/quick-start-module.js
index fdcb53d1d1f9..4c637d32158e 100644
--- a/assets/quick-start-module.js
+++ b/assets/quick-start-module.js
@@ -259,7 +259,6 @@ $("[data-toggle='cloud-dropdown']").on("click", function(e) {
 
 function commandMessage(key) {
   var object = {"preview,pip,linux,accnone,python": "pip3 install --pre torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/nightly/cpu", "preview,pip,linux,cuda10.2,python": "pip3 install --pre torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/nightly/cu102", "preview,pip,linux,cuda11.x,python": "pip3 install --pre torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/nightly/cu113", "preview,pip,linux,cuda11.6,python": "pip3 install --pre torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/nightly/cu116", "preview,pip,linux,rocm5.x,python": "pip3 install --pre torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/nightly/rocm5.2/", "preview,conda,linux,cuda10.2,python": "conda install pytorch torchvision torchaudio cudatoolkit=10.2 -c pytorch-nightly", "preview,conda,linux,cuda11.x,python": "conda install pytorch torchvision torchaudio cudatoolkit=11.3 -c pytorch-nightly", "preview,conda,linux,cuda11.6,python": "conda install pytorch torchvision torchaudio pytorch-cuda=11.6 -c pytorch-nightly -c nvidia", "preview,conda,linux,rocm5.x,python": "<b>NOTE:</b> Conda packages are not currently available for ROCm, please use pip instead<br />", "preview,conda,linux,accnone,python": "conda install pytorch torchvision torchaudio cpuonly -c pytorch-nightly", "preview,libtorch,linux,accnone,cplusplus": "Download here (Pre-cxx11 ABI):<br /><a href='https://download.pytorch.org/libtorch/nightly/cpu/libtorch-shared-with-deps-latest.zip'>https://download.pytorch.org/libtorch/nightly/cpu/libtorch-shared-with-deps-latest.zip</a><br />Download here (cxx11 ABI):<br /><a href='https://download.pytorch.org/libtorch/nightly/cpu/libtorch-cxx11-abi-shared-with-deps-latest.zip'>https://download.pytorch.org/libtorch/nightly/cpu/libtorch-cxx11-abi-shared-with-deps-latest.zip</a>", "preview,libtorch,linux,cuda10.2,cplusplus": "Download here (Pre-cxx11 ABI):<br /><a href='https://download.pytorch.org/libtorch/nightly/cu102/libtorch-shared-with-deps-latest.zip'>https://download.pytorch.org/libtorch/nightly/cu102/libtorch-shared-with-deps-latest.zip</a><br />Download here (cxx11 ABI):<br /><a href='https://download.pytorch.org/libtorch/nightly/cu102/libtorch-cxx11-abi-shared-with-deps-latest.zip'>https://download.pytorch.org/libtorch/nightly/cu102/libtorch-cxx11-abi-shared-with-deps-latest.zip</a>", "preview,libtorch,linux,cuda11.x,cplusplus": "Download here (Pre-cxx11 ABI):<br /><a href='https://download.pytorch.org/libtorch/nightly/cu113/libtorch-shared-with-deps-latest.zip'>https://download.pytorch.org/libtorch/nightly/cu113/libtorch-shared-with-deps-latest.zip</a><br />Download here (cxx11 ABI):<br /><a href='https://download.pytorch.org/libtorch/nightly/cu113/libtorch-cxx11-abi-shared-with-deps-latest.zip'>https://download.pytorch.org/libtorch/nightly/cu113/libtorch-cxx11-abi-shared-with-deps-latest.zip</a>", "preview,libtorch,linux,cuda11.6,cplusplus": "Download here (Pre-cxx11 ABI):<br /><a href='https://download.pytorch.org/libtorch/nightly/cu116/libtorch-shared-with-deps-latest.zip'>https://download.pytorch.org/libtorch/nightly/cu116/libtorch-shared-with-deps-latest.zip</a><br />Download here (cxx11 ABI):<br /><a href='https://download.pytorch.org/libtorch/nightly/cu116/libtorch-cxx11-abi-shared-with-deps-latest.zip'>https://download.pytorch.org/libtorch/nightly/cu116/libtorch-cxx11-abi-shared-with-deps-latest.zip</a>", "preview,libtorch,linux,rocm5.x,cplusplus": "Download here (Pre-cxx11 ABI):<br /><a href='https://download.pytorch.org/libtorch/nightly/rocm5.2/libtorch-shared-with-deps-latest.zip'>https://download.pytorch.org/libtorch/nightly/rocm5.2/libtorch-shared-with-deps-latest.zip</a><br />Download here (cxx11 ABI):<br /><a href='https://download.pytorch.org/libtorch/nightly/rocm5.2/libtorch-cxx11-abi-shared-with-deps-latest.zip'>https://download.pytorch.org/libtorch/nightly/rocm5.2/libtorch-cxx11-abi-shared-with-deps-latest.zip</a>", "preview,pip,macos,cuda10.2,python": "# CUDA is not available on MacOS, please use default package<br />pip3 install --pre torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/nightly/cpu", "preview,pip,macos,cuda11.x,python": "# CUDA is not available on MacOS, please use default package<br />pip3 install --pre torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/nightly/cpu", "preview,pip,macos,cuda11.6,python": "# CUDA is not available on MacOS, please use default package<br />pip3 install --pre torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/nightly/cpu", "preview,pip,macos,rocm5.x,python": "# ROCm is not available on MacOS, please use default package<br />pip3 install --pre torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/nightly/cpu", "preview,pip,macos,accnone,python": "# MPS acceleration is available on MacOS 12.3+<br />pip3 install --pre torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/nightly/cpu", "preview,conda,macos,cuda10.2,python": "# CUDA is not available on MacOS, please use default package<br />conda install pytorch torchvision torchaudio -c pytorch-nightly", "preview,conda,macos,cuda11.x,python": "# CUDA is not available on MacOS, please use default package<br />conda install pytorch torchvision torchaudio -c pytorch-nightly", "preview,conda,macos,cuda11.6,python": "# CUDA is not available on MacOS, please use default package<br />conda install pytorch torchvision torchaudio  -c pytorch-nightly", "preview,conda,macos,rocm5.x,python": "# ROCm is not available on MacOS, please use default package<br />conda install pytorch torchvision torchaudio -c pytorch-nightly", "preview,conda,macos,accnone,python": "# MPS acceleration is available on MacOS 12.3+<br />conda install pytorch torchvision torchaudio -c pytorch-nightly", "preview,libtorch,macos,accnone,cplusplus": "Download here:<br /><a href='https://download.pytorch.org/libtorch/nightly/cpu/libtorch-macos-latest.zip'>https://download.pytorch.org/libtorch/nightly/cpu/libtorch-macos-latest.zip</a>", "preview,libtorch,macos,cuda10.2,cplusplus": "MacOS binaries do not support CUDA. Download default libtorch here:<br /><a href='https://download.pytorch.org/libtorch/nightly/cpu/libtorch-macos-latest.zip'>https://download.pytorch.org/libtorch/nightly/cpu/libtorch-macos-latest.zip</a>", "preview,libtorch,macos,cuda11.x,cplusplus": "MacOS binaries do not support CUDA. Download default libtorch here:<br /><a href='https://download.pytorch.org/libtorch/nightly/cpu/libtorch-macos-latest.zip'>https://download.pytorch.org/libtorch/nightly/cpu/libtorch-macos-latest.zip</a>", "preview,libtorch,macos,cuda11.6,cplusplus": "MacOS binaries do not support CUDA. Download CPU libtorch here:<br /><a href='https://download.pytorch.org/libtorch/nightly/cpu/libtorch-macos-latest.zip'>https://download.pytorch.org/libtorch/nightly/cpu/libtorch-macos-latest.zip</a>", "preview,libtorch,macos,rocm5.x,cplusplus": "ROCm is not available on MacOS. Download default libtorch here:<br /><a href='https://download.pytorch.org/libtorch/nightly/cpu/libtorch-macos-latest.zip'>https://download.pytorch.org/libtorch/nightly/cpu/libtorch-macos-latest.zip</a>", "preview,pip,windows,accnone,python": "pip3 install --pre torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/nightly/cpu", "preview,pip,windows,cuda10.2,python": "CUDA-10.2 PyTorch builds are no longer available for Windows, please use CUDA-11.6", "preview,pip,windows,cuda11.x,python": "pip3 install --pre torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/nightly/cu113", "preview,pip,windows,cuda11.6,python": "pip3 install --pre torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/nightly/cu116", "preview,pip,windows,rocm5.x,python": "<b>NOTE:</b> ROCm is not available on Windows", "preview,conda,windows,cuda10.2,python": "CUDA-10.2 PyTorch builds are no longer available for Windows, please use CUDA-11.6", "preview,conda,windows,cuda11.x,python": "conda install pytorch torchvision torchaudio cudatoolkit=11.3 -c pytorch-nightly", "preview,conda,windows,cuda11.6,python": "conda install pytorch torchvision torchaudio pytorch-cuda=11.6 -c pytorch-nightly -c nvidia", "preview,conda,windows,rocm5.x,python": "<b>NOTE:</b> ROCm is not available on Windows", "preview,conda,windows,accnone,python": "conda install pytorch torchvision torchaudio cpuonly -c pytorch-nightly", "preview,libtorch,windows,accnone,cplusplus": "Download here (Release version):<br /><a href='https://download.pytorch.org/libtorch/nightly/cpu/libtorch-win-shared-with-deps-latest.zip'>https://download.pytorch.org/libtorch/nightly/cpu/libtorch-win-shared-with-deps-latest.zip</a><br />Download here (Debug version):<br /><a href='https://download.pytorch.org/libtorch/nightly/cpu/libtorch-win-shared-with-deps-debug-latest.zip'>https://download.pytorch.org/libtorch/nightly/cpu/libtorch-win-shared-with-deps-debug-latest.zip</a>", "preview,libtorch,windows,cuda10.2,cplusplus": "CUDA-10.2 PyTorch builds are no longer available for Windows, please use CUDA-11.6", "preview,libtorch,windows,cuda11.x,cplusplus": "Download here (Release version):<br /><a href='https://download.pytorch.org/libtorch/nightly/cu113/libtorch-win-shared-with-deps-latest.zip'>https://download.pytorch.org/libtorch/nightly/cu113/libtorch-win-shared-with-deps-latest.zip</a><br />Download here (Debug version):<br /><a href='https://download.pytorch.org/libtorch/nightly/cu113/libtorch-win-shared-with-deps-debug-latest.zip'>https://download.pytorch.org/libtorch/nightly/cu113/libtorch-win-shared-with-deps-debug-latest.zip</a>", "preview,libtorch,windows,cuda11.6,cplusplus": "Download here (Release version):<br /><a href='https://download.pytorch.org/libtorch/nightly/cu116/libtorch-win-shared-with-deps-latest.zip'>https://download.pytorch.org/libtorch/nightly/cu116/libtorch-win-shared-with-deps-latest.zip</a><br />Download here (Debug version):<br /><a href='https://download.pytorch.org/libtorch/nightly/cu116/libtorch-win-shared-with-deps-debug-latest.zip'>https://download.pytorch.org/libtorch/nightly/cu116/libtorch-win-shared-with-deps-debug-latest.zip</a>", "preview,libtorch,windows,rocm5.x,cplusplus": "<b>NOTE:</b> ROCm is not available on Windows", "lts,pip,linux,accnone,python": "pip3 install torch==1.8.2 torchvision==0.9.2 torchaudio==0.8.2 --extra-index-url https://download.pytorch.org/whl/lts/1.8/cpu", "lts,pip,linux,cuda10.2,python": "pip3 install torch==1.8.2 torchvision==0.9.2 torchaudio==0.8.2 --extra-index-url https://download.pytorch.org/whl/lts/1.8/cu102", "lts,pip,linux,cuda11.x,python": "pip3 install torch==1.8.2 torchvision==0.9.2 torchaudio==0.8.2 --extra-index-url https://download.pytorch.org/whl/lts/1.8/cu111", "lts,pip,linux,rocm4.x,python": "<b>NOTE:</b> ROCm is not supported in LTS", "lts,conda,linux,cuda10.2,python": "<b>NOTE:</b> Pytorch LTS version 1.8.2 is only supported for Python <= 3.8<br />conda install pytorch torchvision torchaudio cudatoolkit=10.2 -c pytorch-lts", "lts,conda,linux,cuda11.x,python": "<b>NOTE:</b> 'nvidia' channel is required for cudatoolkit 11.1 <br> <b>NOTE:</b> Pytorch LTS version 1.8.2 is only supported for Python <= 3.8<br />conda install pytorch torchvision torchaudio cudatoolkit=11.1 -c pytorch-lts -c nvidia", "lts,conda,linux,rocm4.x,python": "<b>NOTE:</b> ROCm is not supported in LTS", "lts,conda,linux,accnone,python": "<b>NOTE:</b> Pytorch LTS version 1.8.2 is only supported for Python <= 3.8<br />conda install pytorch torchvision torchaudio cpuonly -c pytorch-lts", "lts,libtorch,linux,accnone,cplusplus": "Download here (Pre-cxx11 ABI):<br /><a href='https://download.pytorch.org/libtorch/lts/1.8/cpu/libtorch-shared-with-deps-1.8.2%2Bcpu.zip'>https://download.pytorch.org/libtorch/lts/1.8/cpu/libtorch-shared-with-deps-1.8.2%2Bcpu.zip</a><br />Download here (cxx11 ABI):<br /><a href='https://download.pytorch.org/libtorch/lts/1.8/cpu/libtorch-cxx11-abi-shared-with-deps-1.8.2%2Bcpu.zip'>https://download.pytorch.org/libtorch/lts/1.8/cpu/libtorch-cxx11-abi-shared-with-deps-1.8.2%2Bcpu.zip</a>", "lts,libtorch,linux,cuda10.2,cplusplus": "Download here (Pre-cxx11 ABI):<br /><a href='https://download.pytorch.org/libtorch/lts/1.8/cu102/libtorch-shared-with-deps-1.8.2%2Bcu102.zip'>https://download.pytorch.org/libtorch/lts/1.8/cu102/libtorch-shared-with-deps-1.8.2%2Bcu102.zip</a><br />Download here (cxx11 ABI):<br /><a href='https://download.pytorch.org/libtorch/lts/1.8/cu102/libtorch-cxx11-abi-shared-with-deps-1.8.2%2Bcu102.zip'>https://download.pytorch.org/libtorch/lts/1.8/cu102/libtorch-cxx11-abi-shared-with-deps-1.8.2%2Bcu102.zip</a>", "lts,libtorch,linux,cuda11.x,cplusplus": "Download here (Pre-cxx11 ABI):<br /><a href='https://download.pytorch.org/libtorch/lts/1.8/cu111/libtorch-shared-with-deps-1.8.2%2Bcu111.zip'>https://download.pytorch.org/libtorch/lts/1.8/cu111/libtorch-shared-with-deps-1.8.2%2Bcu111.zip</a><br />Download here (cxx11 ABI):<br /><a href='https://download.pytorch.org/libtorch/lts/1.8/cu111/libtorch-cxx11-abi-shared-with-deps-1.8.2%2Bcu111.zip'>https://download.pytorch.org/libtorch/lts/1.8/cu111/libtorch-cxx11-abi-shared-with-deps-1.8.2%2Bcu111.zip</a>", "lts,libtorch,linux,rocm4.x,cplusplus": "<b>NOTE:</b> ROCm is not supported in LTS", "lts,pip,macos,cuda10.2,python": "# macOS is not currently supported for lts", "lts,pip,macos,cuda11.x,python": "# macOS is not currently supported for lts", "lts,pip,macos,rocm4.x,python": "# macOS is not currently supported for lts", "lts,pip,macos,accnone,python": "# macOS is not currently supported for lts", "lts,conda,macos,cuda10.2,python": "# macOS is not currently supported for lts", "lts,conda,macos,cuda11.x,python": "# macOS is not currently supported for lts", "lts,conda,macos,rocm4.x,python": "# macOS is not currently supported for lts", "lts,conda,macos,accnone,python": "# macOS is not currently supported for lts", "lts,libtorch,macos,accnone,cplusplus": "# macOS is not currently supported for lts", "lts,libtorch,macos,cuda10.2,cplusplus": "# macOS is not currently supported for lts", "lts,libtorch,macos,cuda11.x,cplusplus": "# macOS is not currently supported for lts", "lts,libtorch,macos,rocm4.x,cplusplus": "# macOS is not currently supported for lts", "lts,pip,windows,accnone,python": "pip3 install torch==1.8.2 torchvision==0.9.2 torchaudio===0.8.2 --extra-index-url https://download.pytorch.org/whl/lts/1.8/cpu", "lts,pip,windows,cuda10.2,python": "pip3 install torch==1.8.2 torchvision==0.9.2 torchaudio===0.8.2 --extra-index-url https://download.pytorch.org/whl/lts/1.8/cu102", "lts,pip,windows,cuda11.x,python": "pip3 install torch==1.8.2 torchvision==0.9.2 torchaudio===0.8.2 --extra-index-url https://download.pytorch.org/whl/lts/1.8/cu111", "lts,pip,windows,rocm4.x,python": "<b>NOTE:</b> ROCm is not supported in LTS", "lts,conda,windows,cuda10.2,python": "<b>NOTE:</b> Pytorch LTS version 1.8.2 is only supported for Python <= 3.8<br />conda install pytorch torchvision torchaudio cudatoolkit=10.2 -c pytorch-lts", "lts,conda,windows,cuda11.x,python": "<b>NOTE:</b> 'conda-forge' channel is required for cudatoolkit 11.1 <br> <b>NOTE:</b> Pytorch LTS version 1.8.2 is only supported for Python <= 3.8<br />conda install pytorch torchvision torchaudio cudatoolkit=11.1 -c pytorch-lts -c conda-forge", "lts,conda,windows,rocm4.x,python": "<b>NOTE:</b> ROCm is not supported in LTS", "lts,conda,windows,accnone,python": "<b>NOTE:</b> Pytorch LTS version 1.8.2 is only supported for Python <= 3.8<br />conda install pytorch torchvision torchaudio cpuonly -c pytorch-lts", "lts,libtorch,windows,accnone,cplusplus": "Download here (Release version):<br /><a href='https://download.pytorch.org/libtorch/lts/1.8/cpu/libtorch-win-shared-with-deps-1.8.2%2Bcpu.zip'>https://download.pytorch.org/libtorch/lts/1.8/cpu/libtorch-win-shared-with-deps-1.8.2%2Bcpu.zip</a><br />Download here (Debug version):<br /><a href='https://download.pytorch.org/libtorch/lts/1.8/cpu/libtorch-win-shared-with-deps-debug-1.8.2%2Bcpu.zip'>https://download.pytorch.org/libtorch/lts/1.8/cpu/libtorch-win-shared-with-deps-debug-1.8.2%2Bcpu.zip</a>", "lts,libtorch,windows,cuda10.2,cplusplus": "Download here (Release version):<br /><a href='https://download.pytorch.org/libtorch/lts/1.8/cu102/libtorch-win-shared-with-deps-1.8.2%2Bcu102.zip'>https://download.pytorch.org/libtorch/lts/1.8/cu102/libtorch-win-shared-with-deps-1.8.2%2Bcu102.zip</a><br />Download here (Debug version):<br /><a href='https://download.pytorch.org/libtorch/lts/1.8/cu102/libtorch-win-shared-with-deps-debug-1.8.2%2Bcu102.zip'>https://download.pytorch.org/libtorch/lts/1.8/cu102/libtorch-win-shared-with-deps-debug-1.8.2%2Bcu102.zip</a>", "lts,libtorch,windows,cuda11.x,cplusplus": "Download here (Release version):<br /><a href='https://download.pytorch.org/libtorch/lts/1.8/cu111/libtorch-win-shared-with-deps-1.8.2%2Bcu111.zip'>https://download.pytorch.org/libtorch/lts/1.8/cu111/libtorch-win-shared-with-deps-1.8.2%2Bcu111.zip</a><br />Download here (Debug version):<br /><a href='https://download.pytorch.org/libtorch/lts/1.8/cu111/libtorch-win-shared-with-deps-debug-1.8.2%2Bcu111.zip'>https://download.pytorch.org/libtorch/lts/1.8/cu111/libtorch-win-shared-with-deps-debug-1.8.2%2Bcu111.zip</a>", "lts,libtorch,windows,rocm4.x,cplusplus": "<b>NOTE:</b> ROCm is not supported in LTS", "stable,pip,linux,accnone,python": "pip3 install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cpu", "stable,pip,linux,cuda10.2,python": "pip3 install torch torchvision torchaudio", "stable,pip,linux,cuda11.x,python": "pip3 install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu113", "stable,pip,linux,cuda11.6,python": "pip3 install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu116", "stable,pip,linux,rocm5.x,python": "pip3 install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/rocm5.1.1", "stable,conda,linux,cuda10.2,python": "conda install pytorch torchvision torchaudio cudatoolkit=10.2 -c pytorch", "stable,conda,linux,cuda11.x,python": "conda install pytorch torchvision torchaudio cudatoolkit=11.3 -c pytorch", "stable,conda,linux,cuda11.6,python": "<b>NOTE:</b> 'conda-forge' channel is required for cudatoolkit 11.6<br />conda install pytorch torchvision torchaudio cudatoolkit=11.6 -c pytorch -c conda-forge", "stable,conda,linux,rocm5.x,python": "<b>NOTE:</b> Conda packages are not currently available for ROCm, please use pip instead<br />", "stable,conda,linux,accnone,python": "conda install pytorch torchvision torchaudio cpuonly -c pytorch", "stable,libtorch,linux,accnone,cplusplus": "Download here (Pre-cxx11 ABI):<br /><a href='https://download.pytorch.org/libtorch/cpu/libtorch-shared-with-deps-1.12.1%2Bcpu.zip'>https://download.pytorch.org/libtorch/cpu/libtorch-shared-with-deps-1.12.1%2Bcpu.zip</a><br />Download here (cxx11 ABI):<br /><a href='https://download.pytorch.org/libtorch/cpu/libtorch-cxx11-abi-shared-with-deps-1.12.1%2Bcpu.zip'>https://download.pytorch.org/libtorch/cpu/libtorch-cxx11-abi-shared-with-deps-1.12.1%2Bcpu.zip</a>", "stable,libtorch,linux,cuda10.2,cplusplus": "Download here (Pre-cxx11 ABI):<br /><a href='https://download.pytorch.org/libtorch/cu102/libtorch-shared-with-deps-1.12.1%2Bcu102.zip'>https://download.pytorch.org/libtorch/cu102/libtorch-shared-with-deps-1.12.1%2Bcu102.zip</a><br />Download here (cxx11 ABI):<br /><a href='https://download.pytorch.org/libtorch/cu102/libtorch-cxx11-abi-shared-with-deps-1.12.1%2Bcu102.zip'>https://download.pytorch.org/libtorch/cu102/libtorch-cxx11-abi-shared-with-deps-1.12.1%2Bcu102.zip</a>", "stable,libtorch,linux,cuda11.x,cplusplus": "Download here (Pre-cxx11 ABI):<br /><a href='https://download.pytorch.org/libtorch/cu113/libtorch-shared-with-deps-1.12.1%2Bcu113.zip'>https://download.pytorch.org/libtorch/cu113/libtorch-shared-with-deps-1.12.1%2Bcu113.zip</a><br />Download here (cxx11 ABI):<br /><a href='https://download.pytorch.org/libtorch/cu113/libtorch-cxx11-abi-shared-with-deps-1.12.1%2Bcu113.zip'>https://download.pytorch.org/libtorch/cu113/libtorch-cxx11-abi-shared-with-deps-1.12.1%2Bcu113.zip</a>", "stable,libtorch,linux,cuda11.6,cplusplus": "Download here (Pre-cxx11 ABI):<br /><a href='https://download.pytorch.org/libtorch/cu116/libtorch-shared-with-deps-1.12.1%2Bcu116.zip'>https://download.pytorch.org/libtorch/cu116/libtorch-shared-with-deps-1.12.1%2Bcu116.zip</a><br />Download here (cxx11 ABI):<br /><a href='https://download.pytorch.org/libtorch/cu116/libtorch-cxx11-abi-shared-with-deps-1.12.1%2Bcu116.zip'>https://download.pytorch.org/libtorch/cu116/libtorch-cxx11-abi-shared-with-deps-1.12.1%2Bcu116.zip</a>", "stable,libtorch,linux,rocm5.x,cplusplus": "Download here (Pre-cxx11 ABI):<br /><a href='https://download.pytorch.org/libtorch/rocm5.1.1/libtorch-shared-with-deps-1.12.1%2Brocm5.1.1.zip'>https://download.pytorch.org/libtorch/rocm5.1.1/libtorch-shared-with-deps-1.12.1%2Brocm5.1.1.zip</a><br />Download here (cxx11 ABI):<br /><a href='https://download.pytorch.org/libtorch/rocm5.1.1/libtorch-cxx11-abi-shared-with-deps-1.12.1%2Brocm5.1.1.zip'>https://download.pytorch.org/libtorch/rocm5.1.1/libtorch-cxx11-abi-shared-with-deps-1.12.1%2Brocm5.1.1.zip</a>", "stable,pip,macos,cuda10.2,python": "# MacOS Binaries dont support CUDA, install from source if CUDA is needed<br />pip3 install torch torchvision torchaudio", "stable,pip,macos,cuda11.x,python": "# MacOS Binaries dont support CUDA, install from source if CUDA is needed<br />pip3 install torch torchvision torchaudio", "stable,pip,macos,cuda11.6,python": "# MacOS Binaries dont support CUDA, install from source if CUDA is needed<br />pip3 install torch torchvision torchaudio", "stable,pip,macos,rocm5.x,python": "<b>NOTE:</b> ROCm is not available on MacOS", "stable,pip,macos,accnone,python": "pip3 install torch torchvision torchaudio", "stable,conda,macos,cuda10.2,python": "# MacOS Binaries dont support CUDA, install from source if CUDA is needed<br />conda install pytorch torchvision torchaudio -c pytorch", "stable,conda,macos,cuda11.x,python": "# MacOS Binaries dont support CUDA, install from source if CUDA is needed<br />conda install pytorch torchvision torchaudio -c pytorch", "stable,conda,macos,cuda11.6,python": "# MacOS Binaries dont support CUDA, install from source if CUDA is needed<br />conda install pytorch torchvision torchaudio -c pytorch", "stable,conda,macos,rocm5.x,python": "<b>NOTE:</b> ROCm is not available on MacOS", "stable,conda,macos,accnone,python": "conda install pytorch torchvision torchaudio -c pytorch", "stable,libtorch,macos,accnone,cplusplus": "Download here:<br /><a href='https://download.pytorch.org/libtorch/cpu/libtorch-macos-1.12.1.zip'>https://download.pytorch.org/libtorch/cpu/libtorch-macos-1.12.1.zip</a>", "stable,libtorch,macos,cuda10.2,cplusplus": "MacOS binaries do not support CUDA. Download CPU libtorch here:<br /><a href='https://download.pytorch.org/libtorch/cpu/libtorch-macos-1.12.1.zip'>https://download.pytorch.org/libtorch/cpu/libtorch-macos-1.12.1.zip</a>", "stable,libtorch,macos,cuda11.x,cplusplus": "MacOS binaries do not support CUDA. Download CPU libtorch here:<br /><a href='https://download.pytorch.org/libtorch/cpu/libtorch-macos-1.12.1.zip'>https://download.pytorch.org/libtorch/cpu/libtorch-macos-1.12.1.zip</a>", "stable,libtorch,macos,cuda11.6,cplusplus": "MacOS binaries do not support CUDA. Download CPU libtorch here:<br /><a href='https://download.pytorch.org/libtorch/cpu/libtorch-macos-1.12.1.zip'>https://download.pytorch.org/libtorch/cpu/libtorch-macos-1.12.1.zip</a>", "stable,libtorch,macos,rocm5.x,cplusplus": "<b>NOTE:</b> ROCm is not available on MacOS", "stable,pip,windows,accnone,python": "pip3 install torch torchvision torchaudio", "stable,pip,windows,cuda10.2,python": "CUDA-10.2 PyTorch builds are no longer available for Windows, please use CUDA-11.6", "stable,pip,windows,cuda11.x,python": "pip3 install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu113", "stable,pip,windows,cuda11.6,python": "pip3 install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu116", "stable,pip,windows,rocm5.x,python": "<b>NOTE:</b> ROCm is not available on Windows", "stable,conda,windows,cuda10.2,python": "CUDA-10.2 PyTorch builds are no longer available for Windows, please use CUDA-11.6", "stable,conda,windows,cuda11.x,python": "conda install pytorch torchvision torchaudio cudatoolkit=11.3 -c pytorch", "stable,conda,windows,cuda11.6,python": "<b>NOTE:</b> 'conda-forge' channel is required for cudatoolkit 11.6<br />conda install pytorch torchvision torchaudio cudatoolkit=11.6 -c pytorch -c conda-forge", "stable,conda,windows,rocm5.x,python": "<b>NOTE:</b> ROCm is not available on Windows", "stable,conda,windows,accnone,python": "conda install pytorch torchvision torchaudio cpuonly -c pytorch", "stable,libtorch,windows,accnone,cplusplus": "Download here (Release version):<br /><a href='https://download.pytorch.org/libtorch/cpu/libtorch-win-shared-with-deps-1.12.1%2Bcpu.zip'>https://download.pytorch.org/libtorch/cpu/libtorch-win-shared-with-deps-1.12.1%2Bcpu.zip</a><br />Download here (Debug version):<br /><a href='https://download.pytorch.org/libtorch/cpu/libtorch-win-shared-with-deps-debug-1.12.1%2Bcpu.zip'>https://download.pytorch.org/libtorch/cpu/libtorch-win-shared-with-deps-debug-1.12.1%2Bcpu.zip</a>", "stable,libtorch,windows,cuda10.2,cplusplus": "CUDA-10.2 PyTorch builds are no longer available for Windows, please use CUDA-11.6", "stable,libtorch,windows,cuda11.x,cplusplus": "Download here (Release version):<br /><a href='https://download.pytorch.org/libtorch/cu113/libtorch-win-shared-with-deps-1.12.1%2Bcu113.zip'>https://download.pytorch.org/libtorch/cu113/libtorch-win-shared-with-deps-1.12.1%2Bcu113.zip</a><br />Download here (Debug version):<br /><a href='https://download.pytorch.org/libtorch/cu113/libtorch-win-shared-with-deps-debug-1.12.1%2Bcu113.zip'>https://download.pytorch.org/libtorch/cu113/libtorch-win-shared-with-deps-debug-1.12.1%2Bcu113.zip</a>", "stable,libtorch,windows,cuda11.6,cplusplus": "Download here (Release version):<br /><a href='https://download.pytorch.org/libtorch/cu116/libtorch-win-shared-with-deps-1.12.1%2Bcu116.zip'>https://download.pytorch.org/libtorch/cu116/libtorch-win-shared-with-deps-1.12.1%2Bcu116.zip</a><br />Download here (Debug version):<br /><a href='https://download.pytorch.org/libtorch/cu116/libtorch-win-shared-with-deps-debug-1.12.1%2Bcu116.zip'>https://download.pytorch.org/libtorch/cu116/libtorch-win-shared-with-deps-debug-1.12.1%2Bcu116.zip</a>", "stable,libtorch,windows,rocm5.x,cplusplus": "<b>NOTE:</b> ROCm is not available on Windows"};
-  var lts_notice = "<div class='alert-secondary'><b>Note</b>: Additional support for these binaries may be provided by <a href='/enterprise-support-program' style='font-size:100%'>PyTorch Enterprise Support Program Participants</a>.</div>";
 
   if (!object.hasOwnProperty(key)) {
     $("#command").html(

From 47797a2b4cce8463e2b9dafa9c6a037ba84b869d Mon Sep 17 00:00:00 2001
From: Svetlana Karslioglu <svekars@fb.com>
Date: Tue, 6 Sep 2022 11:33:38 -0700
Subject: [PATCH 4/4] Add PTE announcement post back

---
 ...2021-5-25-announcing-pytorch-enterprise.md | 27 +++++++++++++++++++
 1 file changed, 27 insertions(+)
 create mode 100644 _posts/2021-5-25-announcing-pytorch-enterprise.md

diff --git a/_posts/2021-5-25-announcing-pytorch-enterprise.md b/_posts/2021-5-25-announcing-pytorch-enterprise.md
new file mode 100644
index 000000000000..89c7740d6aee
--- /dev/null
+++ b/_posts/2021-5-25-announcing-pytorch-enterprise.md
@@ -0,0 +1,27 @@
+---
+layout: blog_detail
+title: 'Announcing the PyTorch Enterprise Support Program'
+author: Team PyTorch
+---
+
+Today, we are excited to announce the [PyTorch Enterprise Support Program](http://pytorch.org/enterprise-support-program), a participatory program that enables service providers to develop and offer tailored enterprise-grade support to their customers. This new offering, built in collaboration between Facebook and Microsoft, was created in direct response to feedback from PyTorch enterprise users who are developing models in production at scale for mission-critical applications.
+
+The PyTorch Enterprise Support Program is available to any service provider. It is designed to mutually benefit all program Participants by sharing and improving PyTorch long-term support (LTS), including contributions of hotfixes and other improvements found while working closely with customers and on their systems.
+
+To benefit the open source community, all hotfixes developed by Participants will be tested and fed back to the LTS releases of PyTorch regularly through PyTorch’s standard pull request process. To participate in the program, a service provider must apply and meet a set of program terms and certification requirements. Once accepted, the service provider becomes a program Participant and can offer a packaged PyTorch Enterprise support service with LTS, prioritized troubleshooting, useful integrations, and more.
+
+<div class="col-md-5 enterprise-azure-logo-container">
+  <img src="{{ site.baseurl }}/assets/images/microsoft-azure.png" width="100%">
+</div>
+
+As one of the founding members and an inaugural member of the PyTorch Enterprise Support Program, Microsoft is launching [PyTorch Enterprise on Microsoft Azure](https://Aka.ms/PyTorchEnterpriseHeroBlog) to deliver a reliable production experience for PyTorch users. Microsoft will support each PyTorch release for as long as it is current. In addition, it will support selected releases for two years, enabling a stable production experience. Microsoft Premier and Unified Support customers can access prioritized troubleshooting for hotfixes, bugs, and security patches at no additional cost. Microsoft will extensively test PyTorch releases for performance regression. The latest release of PyTorch will be integrated with [Azure Machine Learning](https://azure.microsoft.com/en-us/services/machine-learning/) and other PyTorch add-ons including [ONNX Runtime](https://www.onnxruntime.ai/) for faster inference.
+
+PyTorch Enterprise on Microsoft Azure not only benefits its customers, but also the PyTorch community users. All improvements will be tested and fed back to the future release for PyTorch so everyone in the community can use them.
+
+As an organization or PyTorch user, the standard way of researching and deploying with different release versions of PyTorch does not change. If your organization is looking for the managed long-term support, prioritized patches, bug fixes, and additional enterprise-grade support, then you should reach out to service providers participating in the program.
+
+To learn more and participate in the program as a service provider, visit the [PyTorch Enterprise Support Program](http://pytorch.org/enterprise-support-program). If you want to learn more about Microsoft’s offering, visit [PyTorch Enterprise on Microsoft Azure](https://Aka.ms/PyTorchEnterpriseHeroBlog).
+
+Thank you,
+
+Team PyTorch