Update install matrix for PT 1.0 (#133)

Author: JoelMarcey

_get_started/installation/linux.md

@@ -145,10 +145,10 @@ conda install pytorch torchvision -c pytorch
 conda install pytorch torchvision cuda80 -c pytorch
 ```
 
-#### CUDA 9.2
+#### CUDA 10.0
 
 ```bash
-conda install pytorch torchvision cuda92 -c pytorch
+conda install pytorch torchvision cuda100 -c pytorch
 ```
 
 ### pip
@@ -159,28 +159,28 @@ To install PyTorch via pip, and do not have a [CUDA-capable](https://developer.n
 
 ```bash
 # Python 2.7
-pip install http://download.pytorch.org/whl/cpu/torch-0.4.1-cp27-cp27mu-linux_x86_64.whl
+pip install http://download.pytorch.org/whl/cpu/torch-1.0.0-cp27-cp27mu-linux_x86_64.whl
 pip install torchvision
 
 # if the above command does not work, then you have python 2.7 UCS2, use this command
-pip install http://download.pytorch.org/whl/cpu/torch-0.4.1-cp27-cp27m-linux_x86_64.whl
+pip install http://download.pytorch.org/whl/cpu/torch-1.0.0-cp27-cp27m-linux_x86_64.whl
 ```
 
 ```bash
 # Python 3.5
-pip3 install http://download.pytorch.org/whl/cpu/torch-0.4.1-cp35-cp35m-linux_x86_64.whl
+pip3 install http://download.pytorch.org/whl/cpu/torch-1.0.0-cp35-cp35m-linux_x86_64.whl
 pip3 install torchvision
 ```
 
 ```bash
 # Python 3.6
-pip3 install http://download.pytorch.org/whl/cpu/torch-0.4.1-cp36-cp36m-linux_x86_64.whl
+pip3 install http://download.pytorch.org/whl/cpu/torch-1.0.0-cp36-cp36m-linux_x86_64.whl
 pip3 install torchvision
 ```
 
 ```bash
 # Python 3.7
-pip3 install http://download.pytorch.org/whl/cpu/torch-0.4.1.post2-cp37-cp37m-linux_x86_64.whl
+pip3 install http://download.pytorch.org/whl/cpu/torch-1.0.0.post2-cp37-cp37m-linux_x86_64.whl
 pip3 install torchvision
 ```
 
@@ -203,57 +203,57 @@ pip install torch torchvision
 
 ```bash
 # Python 2.7
-pip install http://download.pytorch.org/whl/cu80/torch-0.4.1-cp27-cp27mu-linux_x86_64.whl
+pip install http://download.pytorch.org/whl/cu80/torch-1.0.0-cp27-cp27mu-linux_x86_64.whl
 pip install torchvision
 
 # if the above command does not work, then you have python 2.7 UCS2, use this command
-pip install http://download.pytorch.org/whl/cu80/torch-0.4.1-cp27-cp27m-linux_x86_64.whl
+pip install http://download.pytorch.org/whl/cu80/torch-1.0.0-cp27-cp27m-linux_x86_64.whl
 ```
 
 ```bash
 # Python 3.5
-pip3 install http://download.pytorch.org/whl/cu80/torch-0.4.1-cp35-cp35m-linux_x86_64.whl
+pip3 install http://download.pytorch.org/whl/cu80/torch-1.0.0-cp35-cp35m-linux_x86_64.whl
 pip3 install torchvision
 ```
 
 ```bash
 # Python 3.6
-pip3 install http://download.pytorch.org/whl/cu80/torch-0.4.1-cp36-cp36m-linux_x86_64.whl
+pip3 install http://download.pytorch.org/whl/cu80/torch-1.0.0-cp36-cp36m-linux_x86_64.whl
 pip3 install torchvision
 ```
 
 ```bash
 # Python 3.7
-pip3 install http://download.pytorch.org/whl/cu80/torch-0.4.1.post2-cp37-cp37m-linux_x86_64.whl
+pip3 install http://download.pytorch.org/whl/cu80/torch-1.0.0.post2-cp37-cp37m-linux_x86_64.whl
 pip3 install torchvision
 ```
 
-#### CUDA 9.2
+#### CUDA 10.0
 
 ```bash
 # Python 2.7
-pip install http://download.pytorch.org/whl/cu92/torch-0.4.1-cp27-cp27mu-linux_x86_64.whl
+pip install http://download.pytorch.org/whl/cu100/torch-1.0.0-cp27-cp27mu-linux_x86_64.whl
 pip install torchvision
 
 # if the above command does not work, then you have python 2.7 UCS2, use this command
-pip install http://download.pytorch.org/whl/cu80/torch-0.4.1-cp27-cp27m-linux_x86_64.whl
+pip install http://download.pytorch.org/whl/cu80/torch-1.0.0-cp27-cp27m-linux_x86_64.whl
 ```
 
 ```bash
 # Python 3.5
-pip3 install http://download.pytorch.org/whl/cu92/torch-0.4.1-cp35-cp35m-linux_x86_64.whl
+pip3 install http://download.pytorch.org/whl/cu100/torch-1.0.0-cp35-cp35m-linux_x86_64.whl
 pip3 install torchvision
 ```
 
 ```bash
 # Python 3.6
-pip3 install http://download.pytorch.org/whl/cu92/torch-0.4.1-cp36-cp36m-linux_x86_64.whl
+pip3 install http://download.pytorch.org/whl/cu100/torch-1.0.0-cp36-cp36m-linux_x86_64.whl
 pip3 install torchvision
 ```
 
 ```bash
 # Python 3.7
-pip3 install http://download.pytorch.org/whl/cu92/torch-0.4.1.post2-cp37-cp37m-linux_x86_64.whl
+pip3 install http://download.pytorch.org/whl/cu100/torch-1.0.0.post2-cp37-cp37m-linux_x86_64.whl
 pip3 install torchvision
 ```
 

_get_started/installation/windows.md

@@ -88,10 +88,10 @@ conda install pytorch cuda80 -c pytorch
 pip3 install torchvision
 ```
 
-#### CUDA 9.2
+#### CUDA 10.0
 
 ```bash
-conda install pytorch cuda92 -c pytorch
+conda install pytorch cuda100 -c pytorch
 pip3 install torchvision
 ```
 
@@ -103,28 +103,28 @@ To install PyTorch via pip, and do not have a [CUDA-capable](https://developer.n
 
 ```bash
 # Python 2.7
-pip install http://download.pytorch.org/whl/cpu/torch-0.4.1-cp27-cp27mu-linux_x86_64.whl
+pip install http://download.pytorch.org/whl/cpu/torch-1.0.0-cp27-cp27mu-linux_x86_64.whl
 pip install torchvision
 
 # if the above command does not work, then you have python 2.7 UCS2, use this command
-pip install http://download.pytorch.org/whl/cpu/torch-0.4.1-cp27-cp27m-linux_x86_64.whl
+pip install http://download.pytorch.org/whl/cpu/torch-1.0.0-cp27-cp27m-linux_x86_64.whl
 ```
 
 ```bash
 # Python 3.5
-pip3 install http://download.pytorch.org/whl/cpu/torch-0.4.1-cp35-cp35m-win_amd64.whl
+pip3 install http://download.pytorch.org/whl/cpu/torch-1.0.0-cp35-cp35m-win_amd64.whl
 pip3 install torchvision
 ```
 
 ```bash
 # Python 3.6
-pip3 install http://download.pytorch.org/whl/cpu/torch-0.4.1-cp36-cp36m-win_amd64.whl
+pip3 install http://download.pytorch.org/whl/cpu/torch-1.0.0-cp36-cp36m-win_amd64.whl
 pip3 install torchvision
 ```
 
 ```bash
 # Python 3.7
-pip3 install http://download.pytorch.org/whl/cpu/torch-0.4.1-cp37-cp37m-win_amd64.whl
+pip3 install http://download.pytorch.org/whl/cpu/torch-1.0.0-cp37-cp37m-win_amd64.whl
 pip3 install torchvision
 ```
 
@@ -136,19 +136,19 @@ To install PyTorch via pip, and you are using CUDA 9.0, use the following comman
 
 ```
 # Python 3.5
-pip3 install http://download.pytorch.org/whl/cu90/torch-0.4.1-cp35-cp35m-win_amd64.whl
+pip3 install http://download.pytorch.org/whl/cu90/torch-1.0.0-cp35-cp35m-win_amd64.whl
 pip3 install torchvision
 ```
 
 ```
 # Python 3.6
-pip3 install http://download.pytorch.org/whl/cu90/torch-0.4.1-cp36-cp36m-win_amd64.whl
+pip3 install http://download.pytorch.org/whl/cu90/torch-1.0.0-cp36-cp36m-win_amd64.whl
 pip3 install torchvision
 ```
 
 ```
 # Python 3.7
-pip3 install http://download.pytorch.org/whl/cu90/torch-0.4.1-cp37-cp37m-win_amd64.whl
+pip3 install http://download.pytorch.org/whl/cu90/torch-1.0.0-cp37-cp37m-win_amd64.whl
 pip3 install torchvision
 ```
 
@@ -166,40 +166,40 @@ _CUDA 8.x_
 
 ```
 # Python 3.5
-pip3 install http://download.pytorch.org/whl/cu80/torch-0.4.1-cp35-cp35m-win_amd64.whl
+pip3 install http://download.pytorch.org/whl/cu80/torch-1.0.0-cp35-cp35m-win_amd64.whl
 pip3 install torchvision
 ```
 
 ```
 # Python 3.6
-pip3 install http://download.pytorch.org/whl/cu80/torch-0.4.1-cp36-cp36m-win_amd64.whl
+pip3 install http://download.pytorch.org/whl/cu80/torch-1.0.0-cp36-cp36m-win_amd64.whl
 pip3 install torchvision
 ```
 
 ```
 # Python 3.7
-pip3 install http://download.pytorch.org/whl/cu80/torch-0.4.1-cp37-cp37m-win_amd64.whl
+pip3 install http://download.pytorch.org/whl/cu80/torch-1.0.0-cp37-cp37m-win_amd64.whl
 pip3 install torchvision
 ```
 
-_CUDA 9.2_
+_CUDA 10.0_
 
 
 ```
 # Python 3.5
-pip3 install http://download.pytorch.org/whl/cu92/torch-0.4.1-cp35-cp35m-win_amd64.whl
+pip3 install http://download.pytorch.org/whl/cu100/torch-1.0.0-cp35-cp35m-win_amd64.whl
 pip3 install torchvision
 ```
 
 ```
 # Python 3.6
-pip3 install http://download.pytorch.org/whl/cu92/torch-0.4.1-cp36-cp36m-win_amd64.whl
+pip3 install http://download.pytorch.org/whl/cu100/torch-1.0.0-cp36-cp36m-win_amd64.whl
 pip3 install torchvision
 ```
 
 ```
 # Python 3.7
-pip3 install http://download.pytorch.org/whl/cu92/torch-0.4.1-cp37-cp37m-win_amd64.whl
+pip3 install http://download.pytorch.org/whl/cu100/torch-1.0.0-cp37-cp37m-win_amd64.whl
 pip3 install torchvision
 ```
 

_includes/quick_start_local.html

@@ -1,5 +1,7 @@
-<p>Select your preferences and run the install command. Please ensure that you have <b>met the prerequisites below (e.g., numpy)</b>, 
-   depending on your package manager. Anaconda is our recommended package manager since it installs all dependencies. You can also
+<p>Select your preferences and run the install command. Stable represents the most currently tested and supported version of PyTorch 1.0. This should
+   be suitable for many users. Preview is available if you want the latest, not fully tested and supported, 1.0 builds that are generated nightly.
+   Please ensure that you have <b>met the prerequisites below (e.g., numpy)</b>,  depending on your package manager. Anaconda is our recommended
+   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>
 
@@ -31,10 +33,10 @@
         <div class="option-text">PyTorch Build</div>
       </div>
       <div class="col-md-6 option block version selected" id="stable">
-        <div class="option-text">Stable</div>
+        <div class="option-text">Stable (1.0)</div>
       </div>
       <div class="col-md-6 option block version" id="preview">
-        <div class="option-text">Preview</div>
+        <div class="option-text">Preview (Nightly)</div>
       </div>
     </div>
     <div class="row os">
@@ -98,8 +100,8 @@
       <div class="col-md-3 option block version selected" id="cuda9.0">
         <div class="option-text">9.0</div>
       </div>
-      <div class="col-md-3 option block version" id="cuda9.2">
-        <div class="option-text">9.2</div>
+      <div class="col-md-3 option block version" id="cuda10.0">
+        <div class="option-text">10.0</div>
       </div>
       <div class="col-md-3 option block version" id="cudanone">
         <div class="option-text">None</div>