🔖 Publish docs for PyTorch v1.7.0 and torchvision v0.8.0.

README.md

@@ -12,8 +12,8 @@ No need to clone the huge PyTorch repo. No need to install Sphinx. No need to wa
 
 | Docs         | Version                                                      | Release Page                                                 |
 | ------------ | ------------------------------------------------------------ | ------------------------------------------------------------ |
-| PyTorch      | [![torch version](https://img.shields.io/badge/torch_version-v1.6.0-282828.svg?labelColor=4F4F4F&logo=PyTorch)](https://pytorch.org/blog/pytorch-1.6-released/) | [Link](https://github.com/unknownue/PyTorch.docs/releases/tag/v1.6.0) |
-| torchvision  | [![torchvision version](https://img.shields.io/badge/torchvision_version-v0.7.0-282828.svg?labelColor=4F4F4FF&logo=PyTorch)](https://github.com/pytorch/vision/releases) | [Link](https://github.com/unknownue/PyTorch.docs/releases/tag/v1.6.0) |
+| PyTorch      | [![torch version](https://img.shields.io/badge/torch_version-v1.7.0-282828.svg?labelColor=4F4F4F&logo=PyTorch)](https://pytorch.org/blog/pytorch-1.7-released/) | [Link](https://github.com/unknownue/PyTorch.docs/releases/tag/v1.7.0) |
+| torchvision  | [![torchvision version](https://img.shields.io/badge/torchvision_version-v0.8.0-282828.svg?labelColor=4F4F4FF&logo=PyTorch)](https://github.com/pytorch/vision/releases) | [Link](https://github.com/pytorch/vision/tree/v0.8.0) |
 | Numpy        | [![numpy version](https://badgen.net/badge/NumPy%20version/v1.19.0/black?icon=dockbit)](https://numpy.org/doc/1.19/release.html) | [Link](https://numpy.org/doc)                                |
 | Scikit-learn | [![scikit-learn version](https://badgen.net/badge/Scikit-learn%20version/v0.22/black?icon=libraries)](https://github.com/scikit-learn/scikit-learn/releases/tag/0.22) | [Link](https://github.com/unknownue/PyTorch.docs/releases/tag/v1.4.2) |
 | Matplotlib   | [![matplotlib version](https://badgen.net/badge/Matplotlib%20version/v3.3.1/black?icon=graphql)](https://github.com/matplotlib/matplotlib/releases/tag/v3.3.1) | [Link](https://github.com/unknownue/PyTorch.docs/releases/tag/v1.6.1) |

torch/.buildinfo

@@ -1,4 +1,4 @@
 # Sphinx build info version 1
 # This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
-config: 8bcf99a0405eadf07fdb2b7b8d5eec97
+config: 5b947dc4bc88709ec535a13c5f326540
 tags: 645f666f9bcd5a90fca523b33c5a78b7

torch/__config__.html

@@ -159,7 +159,7 @@
 
 
                 <div class="version">
-                  master (1.6.0 )
+                  master (1.7.0 )
                 </div>
 
 
@@ -226,11 +226,14 @@
 <li class="toctree-l1"><a class="reference internal" href="autograd.html">torch.autograd</a></li>
 <li class="toctree-l1"><a class="reference internal" href="cuda.html">torch.cuda</a></li>
 <li class="toctree-l1"><a class="reference internal" href="amp.html">torch.cuda.amp</a></li>
+<li class="toctree-l1"><a class="reference internal" href="backends.html">torch.backends</a></li>
 <li class="toctree-l1"><a class="reference internal" href="distributed.html">torch.distributed</a></li>
 <li class="toctree-l1"><a class="reference internal" href="distributions.html">torch.distributions</a></li>
+<li class="toctree-l1"><a class="reference internal" href="fft.html">torch.fft</a></li>
 <li class="toctree-l1"><a class="reference internal" href="futures.html">torch.futures</a></li>
 <li class="toctree-l1"><a class="reference internal" href="hub.html">torch.hub</a></li>
 <li class="toctree-l1"><a class="reference internal" href="jit.html">torch.jit</a></li>
+<li class="toctree-l1"><a class="reference internal" href="linalg.html">torch.linalg</a></li>
 <li class="toctree-l1"><a class="reference internal" href="nn.init.html">torch.nn.init</a></li>
 <li class="toctree-l1"><a class="reference internal" href="onnx.html">torch.onnx</a></li>
 <li class="toctree-l1"><a class="reference internal" href="optim.html">torch.optim</a></li>
@@ -257,6 +260,7 @@
 <ul>
 <li class="toctree-l1"><a class="reference external" href="https://pytorch.org/audio">torchaudio</a></li>
 <li class="toctree-l1"><a class="reference external" href="https://pytorch.org/text">torchtext</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://pytorch.org/vision">torchvision</a></li>
 <li class="toctree-l1"><a class="reference external" href="https://pytorch.org/elastic/">TorchElastic</a></li>
 <li class="toctree-l1"><a class="reference external" href="https://pytorch.org/serve">TorchServe</a></li>
 <li class="toctree-l1"><a class="reference external" href="http://pytorch.org/xla/">PyTorch on XLA Devices</a></li>

torch/_modules/index.html

@@ -157,7 +157,7 @@
 
 
                 <div class="version">
-                  master (1.6.0 )
+                  master (1.7.0 )
                 </div>
 
 
@@ -224,11 +224,14 @@
 <li class="toctree-l1"><a class="reference internal" href="../autograd.html">torch.autograd</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../cuda.html">torch.cuda</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../amp.html">torch.cuda.amp</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../backends.html">torch.backends</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../distributed.html">torch.distributed</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../distributions.html">torch.distributions</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../fft.html">torch.fft</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../futures.html">torch.futures</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../hub.html">torch.hub</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../jit.html">torch.jit</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../linalg.html">torch.linalg</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../nn.init.html">torch.nn.init</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../onnx.html">torch.onnx</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../optim.html">torch.optim</a></li>
@@ -255,6 +258,7 @@
 <ul>
 <li class="toctree-l1"><a class="reference external" href="https://pytorch.org/audio">torchaudio</a></li>
 <li class="toctree-l1"><a class="reference external" href="https://pytorch.org/text">torchtext</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://pytorch.org/vision">torchvision</a></li>
 <li class="toctree-l1"><a class="reference external" href="https://pytorch.org/elastic/">TorchElastic</a></li>
 <li class="toctree-l1"><a class="reference external" href="https://pytorch.org/serve">TorchServe</a></li>
 <li class="toctree-l1"><a class="reference external" href="http://pytorch.org/xla/">PyTorch on XLA Devices</a></li>
@@ -336,7 +340,9 @@
   <h1>All modules for which code is available</h1>
 <ul><li><a href="torch.html">torch</a></li>
 <ul><li><a href="torch/_C.html">torch._C</a></li>
-<ul><li><a href="torch/_C/_nn.html">torch._C._nn</a></li>
+<ul><li><a href="torch/_C/_fft.html">torch._C._fft</a></li>
+<li><a href="torch/_C/_linalg.html">torch._C._linalg</a></li>
+<li><a href="torch/_C/_nn.html">torch._C._nn</a></li>
 </ul><li><a href="torch/__config__.html">torch.__config__</a></li>
 <li><a href="torch/_jit_internal.html">torch._jit_internal</a></li>
 <li><a href="torch/_lobpcg.html">torch._lobpcg</a></li>
@@ -350,7 +356,12 @@ <h1>All modules for which code is available</h1>
 <li><a href="torch/autograd/grad_mode.html">torch.autograd.grad_mode</a></li>
 <li><a href="torch/autograd/gradcheck.html">torch.autograd.gradcheck</a></li>
 <li><a href="torch/autograd/profiler.html">torch.autograd.profiler</a></li>
-</ul><li><a href="torch/cuda.html">torch.cuda</a></li>
+</ul><li><a href="torch/backends/cuda.html">torch.backends.cuda</a></li>
+<li><a href="torch/backends/cudnn.html">torch.backends.cudnn</a></li>
+<li><a href="torch/backends/mkl.html">torch.backends.mkl</a></li>
+<li><a href="torch/backends/mkldnn.html">torch.backends.mkldnn</a></li>
+<li><a href="torch/backends/openmp.html">torch.backends.openmp</a></li>
+<li><a href="torch/cuda.html">torch.cuda</a></li>
 <ul><li><a href="torch/cuda/amp/autocast_mode.html">torch.cuda.amp.autocast_mode</a></li>
 <li><a href="torch/cuda/amp/grad_scaler.html">torch.cuda.amp.grad_scaler</a></li>
 <li><a href="torch/cuda/comm.html">torch.cuda.comm</a></li>
@@ -366,6 +377,7 @@ <h1>All modules for which code is available</h1>
 <ul><li><a href="torch/distributed/rpc/api.html">torch.distributed.rpc.api</a></li>
 <li><a href="torch/distributed/rpc/backend_registry.html">torch.distributed.rpc.backend_registry</a></li>
 <li><a href="torch/distributed/rpc/functions.html">torch.distributed.rpc.functions</a></li>
+<li><a href="torch/distributed/rpc/options.html">torch.distributed.rpc.options</a></li>
 </ul></ul><li><a href="torch/distributions/bernoulli.html">torch.distributions.bernoulli</a></li>
 <li><a href="torch/distributions/beta.html">torch.distributions.beta</a></li>
 <li><a href="torch/distributions/binomial.html">torch.distributions.binomial</a></li>
@@ -410,7 +422,11 @@ <h1>All modules for which code is available</h1>
 <li><a href="torch/futures.html">torch.futures</a></li>
 <li><a href="torch/hub.html">torch.hub</a></li>
 <li><a href="torch/jit.html">torch.jit</a></li>
-<li><a href="torch/multiprocessing.html">torch.multiprocessing</a></li>
+<ul><li><a href="torch/jit/_async.html">torch.jit._async</a></li>
+<li><a href="torch/jit/_script.html">torch.jit._script</a></li>
+<li><a href="torch/jit/_serialization.html">torch.jit._serialization</a></li>
+<li><a href="torch/jit/_trace.html">torch.jit._trace</a></li>
+</ul><li><a href="torch/multiprocessing.html">torch.multiprocessing</a></li>
 <ul><li><a href="torch/multiprocessing/spawn.html">torch.multiprocessing.spawn</a></li>
 </ul><li><a href="torch/nn/functional.html">torch.nn.functional</a></li>
 <li><a href="torch/nn/init.html">torch.nn.init</a></li>
@@ -440,6 +456,7 @@ <h1>All modules for which code is available</h1>
 <li><a href="torch/nn/modules/sparse.html">torch.nn.modules.sparse</a></li>
 <li><a href="torch/nn/modules/transformer.html">torch.nn.modules.transformer</a></li>
 <li><a href="torch/nn/modules/upsampling.html">torch.nn.modules.upsampling</a></li>
+<li><a href="torch/nn/parallel/comm.html">torch.nn.parallel.comm</a></li>
 <li><a href="torch/nn/parallel/data_parallel.html">torch.nn.parallel.data_parallel</a></li>
 <li><a href="torch/nn/parallel/distributed.html">torch.nn.parallel.distributed</a></li>
 <li><a href="torch/nn/parameter.html">torch.nn.parameter</a></li>