Merge branch 'site' into blogpost-new

.github/workflows/check-quickstartmodule.yml

@@ -55,14 +55,13 @@ jobs:
       fail-fast: false
       matrix:
         rel_type: ["latest_stable", "latest_lts"]
-        acc_type: ["cuda11.x", "cuda10.2", "accnone"]
-        py_vers: ["3.7", "3.8", "3.9"]
+        acc_type: ["cuda.x", "cuda.y", "accnone"]
+        py_vers: ["3.7", "3.8", "3.9", "3.10"]
         os: ["ubuntu-18.04", "macos-latest", "windows.2022.small"]
-        # We don't actively build for CUDA 10.2 on windows so we should
-        # skip it in our test matrix for pip install
         exclude:
-          - os: "windows.2022.small"
-            acc_type: "cuda10.2"
+          - rel_type: "latest_lts"
+            py_vers: "3.10"
+
     env:
       TEST_ACC: ${{ matrix.acc_type }}
       TEST_VER: ${{ matrix.rel_type }}
@@ -91,8 +90,8 @@ jobs:
       fail-fast: false
       matrix:
         rel_type: ["latest_stable"]
-        acc_type: ["cuda11.x", "cuda10.2", "accnone"]
-        py_vers: ["3.7", "3.8", "3.9"]
+        acc_type: ["cuda.x", "cuda.y", "accnone"]
+        py_vers: ["3.7", "3.8", "3.9", "3.10"]
         os: ["ubuntu-18.04", "macos-latest"]
     env:
       TEST_ACC: ${{ matrix.acc_type }}

_events/pytorch_conference–dec_2nd_2022.md

@@ -1,28 +1,36 @@
 ---
 category: event
-title: PyTorch Conference – Dec 2nd 2022 | Save the Date 
+title: PyTorch Conference – Dec 2nd 2022
 date: December 2, 2022
 header-image: assets/images/pytorch_conference–dec_2nd_2022.gif
 ---
 
-[Content Submission Form](https://docs.google.com/forms/d/121ptOuhqhmcPev9g5Zt2Ffl-NtB_oeyFk5CWjumUVLQ/edit) — Complete by Sept. 30th
+Join us for our flagship conference experience. Apply Now to attend in person.
 
 We are excited to announce that the PyTorch Conference returns in-person as a satellite event to [NeurlPS](https://nips.cc/) (<font size="3">Neural Information Processing Systems</font>) in New Orleans on Dec. 2nd. This is an opportunity to be part of the biggest PyTorch event of the year!
 
 **When**: Dec 2nd, 2022
 
-**Where**: New Orleans, Louisiana (USA) at Generations Hall &#124; *Virtual option as well*
+**Where**: New Orleans, Louisiana (USA) at Generations Hall &#124; _Virtual option as well_
 
 **What**: The PyTorch Conference brings together leading academics, researchers and developers from the Machine Learning community to learn more about software releases on PyTorch, ways PyTorch is being used in academia and industry, development in trends, and more.
 
-Join us for technical talks, project deep dives, and a poster exhibition with the opportunity to meet the authors to learn more about their PyTorch projects and network with the machine learning community. There will also be a virtual option for those who can’t join in-person. More information will be shared soon. 
+Join us for technical talks, project deep dives, and a poster exhibition with the opportunity to meet the authors to learn more about their PyTorch projects and network with the machine learning community. There will also be a virtual option for those who can’t join in-person. More information will be shared soon.
 
-**How**: If you would like to contribute, submit your content for consideration in [this form by Sept. 30th](https://forms.gle/A92Y1h9U4cDjYjnK9). Please note that we can not accept all submissions.
+For more information please visit our [Facebook Event page](https://fb.me/e/29RoWnqBX) for virtual livestream information or [https://pytorchconference22.splashthat.com](https://pytorchconference22.splashthat.com) for full details.
 
-**Guidelines for Content**: When submitting content, it must meet the following criteria:
-- Product/features are launched and available at the time of event
-- Product/features must be an open source project
-- Product/features are new or innovative to the community
-- Content can be shared openly with the community
+**FAQs**
 
-**Questions**: Contact pytorch-marketing@fb.com
+Q: Is there a fee to attend the PyTorch Conference?
+
+A: There is no registration fee to attend the conference, however attendees are responsible for their own travel, and accommodations.
+
+Q: Is The PyTorch Conference affiliated with NeurIPS?
+
+A: As a satellite event, we have to use NeurlPS's hotel portal for reservations, however aside from that our events are independent of one another, meaning registration to our event does not grant you access to NeurlPS and vice versa.
+
+Q: When will I find out if I have been confirmed for the in-person conference?
+
+A: The PyTorch Team will be following up with applicants in the next few weeks.
+
+**Questions**: Contact pytorch-marketing@fb.com

_get_started/previous-versions.md

@@ -17,6 +17,53 @@ your convenience.
 
 ## Commands for Versions >= 1.0.0
 
+### v1.12.1
+
+#### Conda
+
+##### OSX
+
+```
+# conda
+conda install pytorch==1.12.1 torchvision==0.13.1 torchaudio==0.12.1 -c pytorch
+```
+
+#####  Linux and Windows
+
+```
+# CUDA 10.2
+conda install pytorch==1.12.1 torchvision==0.13.1 torchaudio==0.12.1 cudatoolkit=10.2 -c pytorch
+# CUDA 11.3
+conda install pytorch==1.12.1 torchvision==0.13.1 torchaudio==0.12.1 cudatoolkit=11.3 -c pytorch
+# CUDA 11.6
+conda install pytorch==1.12.1 torchvision==0.13.1 torchaudio==0.12.1 cudatoolkit=11.6 -c pytorch -c conda-forge
+# CPU Only
+conda install pytorch==1.12.1 torchvision==0.13.1 torchaudio==0.12.1 cpuonly -c pytorch
+```
+
+#### Wheel
+
+##### OSX
+
+```
+pip install torch==1.12.1 torchvision==0.13.1 torchaudio==0.12.1
+```
+
+##### Linux and Windows
+
+```
+# ROCM 5.1.1 (Linux only)
+pip install torch==1.12.1+rocm5.1.1 torchvision==0.13.1+rocm5.1.1 torchaudio==0.12.1 --extra-index-url  https://download.pytorch.org/whl/rocm5.1.1
+# CUDA 11.6
+pip install torch==1.12.1+cu116 torchvision==0.13.1+cu116 torchaudio==0.12.1 --extra-index-url https://download.pytorch.org/whl/cu116
+# CUDA 11.3
+pip install torch==1.12.1+cu113 torchvision==0.13.1+cu113 torchaudio==0.12.1 --extra-index-url https://download.pytorch.org/whl/cu113
+# CUDA 10.2
+pip install torch==1.12.1+cu102 torchvision==0.13.1+cu102 torchaudio==0.12.1 --extra-index-url https://download.pytorch.org/whl/cu102
+# CPU only
+pip install torch==1.12.1+cpu torchvision==0.13.1+cpu torchaudio==0.12.1 --extra-index-url https://download.pytorch.org/whl/cpu
+```
+
 ### v1.12.0
 
 #### Conda
@@ -52,7 +99,7 @@ pip install torch==1.12.0 torchvision==0.13.0 torchaudio==0.12.0
 ##### Linux and Windows
 
 ```
-# ROCM 5.1.1 (Linux only
+# ROCM 5.1.1 (Linux only)
 pip install torch==1.12.0+rocm5.1.1 torchvision==0.13.0+rocm5.1.1 torchaudio==0.12.0 --extra-index-url  https://download.pytorch.org/whl/rocm5.1.1
 # CUDA 11.6
 pip install torch==1.12.0+cu116 torchvision==0.13.0+cu116 torchaudio==0.12.0 --extra-index-url https://download.pytorch.org/whl/cu116

_includes/quick-start-module.js

@@ -6,9 +6,8 @@ var supportedOperatingSystems = new Map([
 ]);
 
 var supportedComputePlatforms = new Map([
-  ['cuda10.2', new Set(['linux', 'windows'])],
-  ['cuda11.x', new Set(['linux', 'windows'])],
-  ['cuda11.y', new Set(['linux', 'windows'])],
+  ['cuda.x', new Set(['linux', 'windows'])],
+  ['cuda.y', new Set(['linux', 'windows'])],
   ['rocm5.x', new Set(['linux'])],
   ['accnone', new Set(['linux', 'macos', 'windows'])],
 ]);
@@ -99,7 +98,7 @@ function getPreferredCuda(os) {
   if (os == 'macos') {
     return 'accnone';
   }
-  return 'cuda10.2';
+  return 'cuda11.6';
 }
 
 // Disable compute platform not supported on OS
@@ -117,8 +116,8 @@ function disableUnsupportedPlatforms(os) {
 
 // Change compute versions depending on build type
 function changeCUDAVersion(ptbuild) {
-  var cuda_element_x = document.getElementById("cuda11.x");
-  var cuda_element_y = document.getElementById("cuda11.y");
+  var cuda_element_x = document.getElementById("cuda.x");
+  var cuda_element_y = document.getElementById("cuda.y");
   var rocm_element = document.getElementById("rocm5.x");
   if (cuda_element_x == null || cuda_element_y == null) {
     console.log("Failed to find cuda11 elements");
@@ -141,13 +140,13 @@ function changeCUDAVersion(ptbuild) {
     cuda_element_x.children[0].textContent = "CUDA 11.6";
     cuda_element_y.children[0].textContent = "CUDA 11.7";
   } else if (ptbuild == "stable") {
-    rocm_element.children[0].textContent = "ROCm 5.1.1";
-    cuda_element_x.children[0].textContent = "CUDA 11.3";
-    cuda_element_y.children[0].textContent = "CUDA 11.6";
+    rocm_element.children[0].textContent = "ROCm 5.2";
+    cuda_element_x.children[0].textContent = "CUDA 11.6";
+    cuda_element_y.children[0].textContent = "CUDA 11.7";
   } else {
-    rocm_element.children[0].textContent = "ROCm 5.1.1";
-    cuda_element_x.children[0].textContent = "CUDA 11.3";
-    cuda_element_y.children[0].textContent = "CUDA 11.6";
+    rocm_element.children[0].textContent = "ROCm 5.2";
+    cuda_element_x.children[0].textContent = "CUDA 10.2";
+    cuda_element_y.children[0].textContent = "CUDA 11.1";
   }
 }
 

_includes/quick_start_local.html

@@ -33,7 +33,7 @@
         <div class="option-text">PyTorch Build</div>
       </div>
       <div class="col-md-4 option block version selected" id="stable">
-        <div class="option-text">Stable (1.12.1)</div>
+        <div class="option-text">Stable (1.13.0)</div>
       </div>
       <div class="col-md-4 option block version" id="preview">
         <div class="option-text">Preview (Nightly)</div>
@@ -88,17 +88,14 @@
       <div class="col-md-12 title-block mobile-heading">
         <div class="option-text">Compute Platform</div>
       </div>
-      <div class="col-md-2 option block version selected" id="cuda10.2">
-        <div class="option-text">CUDA 10.2</div>
-      </div>
-      <div class="col-md-2 option block version" id="cuda11.x">
-        <div class="option-text">CUDA 11.3</div>
-      </div>
-      <div class="col-md-2 option block version" id="cuda11.y">
+      <div class="col-md-3 option block version" id="cuda.x">
         <div class="option-text">CUDA 11.6</div>
       </div>
+      <div class="col-md-3 option block version" id="cuda.y">
+        <div class="option-text">CUDA 11.7</div>
+      </div>
       <div class="col-md-3 option block version" id="rocm5.x">
-        <div class="option-text">ROCm 5.1.1</div>
+        <div class="option-text">ROCm 5.2</div>
       </div>
       <div class="col-md-3 option block version" id="accnone">
         <div class="option-text">CPU</div>