Update genindex.html

Author: Jessica Lin

docs/stable/genindex.html

@@ -849,7 +849,7 @@ <h2 id="B">B</h2>
       <li><a href="autograd.html#torch.autograd.backward">backward() (in module torch.autograd)</a>
 
       <ul>
-        <li><a href="rpc/rpc.html#torch.distributed.autograd.backward">(in module torch.distributed.autograd)</a>
+        <li><a href="rpc.html#torch.distributed.autograd.backward">(in module torch.distributed.autograd)</a>
 </li>
         <li><a href="autograd.html#torch.autograd.Function.backward">(torch.autograd.Function static method)</a>
 </li>
@@ -1188,7 +1188,7 @@ <h2 id="C">C</h2>
 </li>
       <li><a href="distributions.html#torch.distributions.beta.Beta.concentration1">concentration1() (torch.distributions.beta.Beta property)</a>
 </li>
-      <li><a href="rpc/rpc.html#torch.distributed.rpc.RRef.confirmed_by_owner">confirmed_by_owner() (torch.distributed.rpc.RRef method)</a>
+      <li><a href="rpc.html#torch.distributed.rpc.RRef.confirmed_by_owner">confirmed_by_owner() (torch.distributed.rpc.RRef method)</a>
 </li>
       <li><a href="torch.html#torch.conj">conj() (in module torch)</a>
 
@@ -1210,7 +1210,7 @@ <h2 id="C">C</h2>
 </li>
       <li><a href="distributions.html#torch.distributions.constraint_registry.ConstraintRegistry">ConstraintRegistry (class in torch.distributions.constraint_registry)</a>
 </li>
-      <li><a href="rpc/rpc.html#torch.distributed.autograd.context">context (class in torch.distributed.autograd)</a>
+      <li><a href="rpc.html#torch.distributed.autograd.context">context (class in torch.distributed.autograd)</a>
 </li>
       <li><a href="tensors.html#torch.Tensor.contiguous">contiguous() (torch.Tensor method)</a>
 </li>
@@ -1536,7 +1536,7 @@ <h2 id="D">D</h2>
       </ul></li>
       <li><a href="nn.html#torch.nn.parallel.DistributedDataParallel">DistributedDataParallel (class in torch.nn.parallel)</a>
 </li>
-      <li><a href="rpc/rpc.html#torch.distributed.optim.DistributedOptimizer">DistributedOptimizer (class in torch.distributed.optim)</a>
+      <li><a href="rpc.html#torch.distributed.optim.DistributedOptimizer">DistributedOptimizer (class in torch.distributed.optim)</a>
 </li>
       <li><a href="data.html#torch.utils.data.distributed.DistributedSampler">DistributedSampler (class in torch.utils.data.distributed)</a>
 </li>
@@ -2175,7 +2175,7 @@ <h2 id="G">G</h2>
 </li>
       <li><a href="cuda.html#torch.cuda.get_device_name">get_device_name() (in module torch.cuda)</a>
 </li>
-      <li><a href="rpc/rpc.html#torch.distributed.autograd.get_gradients">get_gradients() (in module torch.distributed.autograd)</a>
+      <li><a href="rpc.html#torch.distributed.autograd.get_gradients">get_gradients() (in module torch.distributed.autograd)</a>
 </li>
       <li><a href="amp.html#torch.cuda.amp.GradScaler.get_growth_factor">get_growth_factor() (torch.cuda.amp.GradScaler method)</a>
 </li>
@@ -2211,7 +2211,7 @@ <h2 id="G">G</h2>
 </li>
       <li><a href="torch.html#torch._C.Generator.get_state">get_state() (torch._C.Generator method)</a>
 </li>
-      <li><a href="rpc/rpc.html#torch.distributed.rpc.get_worker_info">get_worker_info() (in module torch.distributed.rpc)</a>
+      <li><a href="rpc.html#torch.distributed.rpc.get_worker_info">get_worker_info() (in module torch.distributed.rpc)</a>
 
       <ul>
         <li><a href="data.html#torch.utils.data.get_worker_info">(in module torch.utils.data)</a>
@@ -2429,7 +2429,7 @@ <h2 id="I">I</h2>
         <li><a href="distributions.html#torch.distributions.uniform.Uniform.icdf">(torch.distributions.uniform.Uniform method)</a>
 </li>
       </ul></li>
-      <li><a href="rpc/rpc.html#torch.distributed.rpc.WorkerInfo.id">id() (torch.distributed.rpc.WorkerInfo property)</a>
+      <li><a href="rpc.html#torch.distributed.rpc.WorkerInfo.id">id() (torch.distributed.rpc.WorkerInfo property)</a>
 </li>
       <li><a href="nn.html#torch.nn.Identity">Identity (class in torch.nn)</a>
 
@@ -2489,11 +2489,11 @@ <h2 id="I">I</h2>
 </li>
       <li><a href="cuda.html#torch.cuda.init">init() (in module torch.cuda)</a>
 </li>
-      <li><a href="rpc/rpc.html#torch.distributed.rpc.ProcessGroupRpcBackendOptions.init_method">init_method() (torch.distributed.rpc.ProcessGroupRpcBackendOptions property)</a>
+      <li><a href="rpc.html#torch.distributed.rpc.ProcessGroupRpcBackendOptions.init_method">init_method() (torch.distributed.rpc.ProcessGroupRpcBackendOptions property)</a>
 </li>
       <li><a href="distributed.html#torch.distributed.init_process_group">init_process_group() (in module torch.distributed)</a>
 </li>
-      <li><a href="rpc/rpc.html#torch.distributed.rpc.init_rpc">init_rpc() (in module torch.distributed.rpc)</a>
+      <li><a href="rpc.html#torch.distributed.rpc.init_rpc">init_rpc() (in module torch.distributed.rpc)</a>
 </li>
       <li><a href="torch.html#torch.initial_seed">initial_seed() (in module torch)</a>
 
@@ -2603,7 +2603,7 @@ <h2 id="I">I</h2>
 </li>
       <li><a href="distributed.html#torch.distributed.is_nccl_available">is_nccl_available() (in module torch.distributed)</a>
 </li>
-      <li><a href="rpc/rpc.html#torch.distributed.rpc.RRef.is_owner">is_owner() (torch.distributed.rpc.RRef method)</a>
+      <li><a href="rpc.html#torch.distributed.rpc.RRef.is_owner">is_owner() (torch.distributed.rpc.RRef method)</a>
 </li>
       <li><a href="storage.html#torch.FloatStorage.is_pinned">is_pinned() (torch.FloatStorage method)</a>
 
@@ -2877,7 +2877,7 @@ <h2 id="L">L</h2>
 </li>
       <li><a href="nn.functional.html#torch.nn.functional.local_response_norm">local_response_norm() (in module torch.nn.functional)</a>
 </li>
-      <li><a href="rpc/rpc.html#torch.distributed.rpc.RRef.local_value">local_value() (torch.distributed.rpc.RRef method)</a>
+      <li><a href="rpc.html#torch.distributed.rpc.RRef.local_value">local_value() (torch.distributed.rpc.RRef method)</a>
 </li>
       <li><a href="nn.html#torch.nn.LocalResponseNorm">LocalResponseNorm (class in torch.nn)</a>
 </li>
@@ -3441,7 +3441,7 @@ <h2 id="M">M</h2>
 <h2 id="N">N</h2>
 <table style="width: 100%" class="indextable genindextable"><tr>
   <td style="width: 33%; vertical-align: top;"><ul>
-      <li><a href="rpc/rpc.html#torch.distributed.rpc.WorkerInfo.name">name() (torch.distributed.rpc.WorkerInfo property)</a>
+      <li><a href="rpc.html#torch.distributed.rpc.WorkerInfo.name">name() (torch.distributed.rpc.WorkerInfo property)</a>
 </li>
       <li><a href="nn.html#torch.nn.Module.named_buffers">named_buffers() (torch.nn.Module method)</a>
 </li>
@@ -3549,7 +3549,7 @@ <h2 id="N">N</h2>
         <li><a href="torchvision/transforms.html#torchvision.transforms.functional.normalize">(in module torchvision.transforms.functional)</a>
 </li>
       </ul></li>
-      <li><a href="rpc/rpc.html#torch.distributed.rpc.ProcessGroupRpcBackendOptions.num_send_recv_threads">num_send_recv_threads() (torch.distributed.rpc.ProcessGroupRpcBackendOptions property)</a>
+      <li><a href="rpc.html#torch.distributed.rpc.ProcessGroupRpcBackendOptions.num_send_recv_threads">num_send_recv_threads() (torch.distributed.rpc.ProcessGroupRpcBackendOptions property)</a>
 </li>
       <li><a href="torch.html#torch.numel">numel() (in module torch)</a>
 
@@ -3605,9 +3605,9 @@ <h2 id="O">O</h2>
       </ul></li>
       <li><a href="nn.init.html#torch.nn.init.orthogonal_">orthogonal_() (in module torch.nn.init)</a>
 </li>
-      <li><a href="rpc/rpc.html#torch.distributed.rpc.RRef.owner">owner() (torch.distributed.rpc.RRef method)</a>
+      <li><a href="rpc.html#torch.distributed.rpc.RRef.owner">owner() (torch.distributed.rpc.RRef method)</a>
 </li>
-      <li><a href="rpc/rpc.html#torch.distributed.rpc.RRef.owner_name">owner_name() (torch.distributed.rpc.RRef method)</a>
+      <li><a href="rpc.html#torch.distributed.rpc.RRef.owner_name">owner_name() (torch.distributed.rpc.RRef method)</a>
 </li>
   </ul></td>
 </tr></table>
@@ -3775,7 +3775,7 @@ <h2 id="P">P</h2>
         <li><a href="distributions.html#torch.distributions.relaxed_categorical.RelaxedOneHotCategorical.probs">(torch.distributions.relaxed_categorical.RelaxedOneHotCategorical property)</a>
 </li>
       </ul></li>
-      <li><a href="rpc/rpc.html#torch.distributed.rpc.ProcessGroupRpcBackendOptions">ProcessGroupRpcBackendOptions (class in torch.distributed.rpc)</a>
+      <li><a href="rpc.html#torch.distributed.rpc.ProcessGroupRpcBackendOptions">ProcessGroupRpcBackendOptions (class in torch.distributed.rpc)</a>
 </li>
       <li><a href="torch.html#torch.prod">prod() (in module torch)</a>, <a href="torch.html#torch.prod">[1]</a>, <a href="torch.html#torch.prod">[2]</a>
 
@@ -4033,7 +4033,7 @@ <h2 id="R">R</h2>
       </ul></li>
       <li><a href="tensors.html#torch.Tensor.remainder_">remainder_() (torch.Tensor method)</a>
 </li>
-      <li><a href="rpc/rpc.html#torch.distributed.rpc.remote">remote() (in module torch.distributed.rpc)</a>
+      <li><a href="rpc.html#torch.distributed.rpc.remote">remote() (in module torch.distributed.rpc)</a>
 </li>
       <li><a href="nn.html#torch.nn.utils.prune.remove">remove() (in module torch.nn.utils.prune)</a>
 
@@ -4187,15 +4187,15 @@ <h2 id="R">R</h2>
       </ul></li>
       <li><a href="tensors.html#torch.Tensor.round_">round_() (torch.Tensor method)</a>
 </li>
-      <li><a href="rpc/rpc.html#torch.distributed.rpc.rpc_async">rpc_async() (in module torch.distributed.rpc)</a>
+      <li><a href="rpc.html#torch.distributed.rpc.rpc_async">rpc_async() (in module torch.distributed.rpc)</a>
 </li>
-      <li><a href="rpc/rpc.html#torch.distributed.rpc.rpc_sync">rpc_sync() (in module torch.distributed.rpc)</a>
+      <li><a href="rpc.html#torch.distributed.rpc.rpc_sync">rpc_sync() (in module torch.distributed.rpc)</a>
 </li>
-      <li><a href="rpc/rpc.html#torch.distributed.rpc.ProcessGroupRpcBackendOptions.rpc_timeout">rpc_timeout() (torch.distributed.rpc.ProcessGroupRpcBackendOptions property)</a>
+      <li><a href="rpc.html#torch.distributed.rpc.ProcessGroupRpcBackendOptions.rpc_timeout">rpc_timeout() (torch.distributed.rpc.ProcessGroupRpcBackendOptions property)</a>
 </li>
       <li><a href="optim.html#torch.optim.Rprop">Rprop (class in torch.optim)</a>
 </li>
-      <li><a href="rpc/rpc.html#torch.distributed.rpc.RRef">RRef (class in torch.distributed.rpc)</a>
+      <li><a href="rpc.html#torch.distributed.rpc.RRef">RRef (class in torch.distributed.rpc)</a>
 </li>
       <li><a href="nn.html#torch.nn.RReLU">RReLU (class in torch.nn)</a>
 </li>
@@ -4449,7 +4449,7 @@ <h2 id="S">S</h2>
 </li>
       <li><a href="torchvision/models.html#torchvision.models.shufflenet_v2_x2_0">shufflenet_v2_x2_0() (in module torchvision.models)</a>
 </li>
-      <li><a href="rpc/rpc.html#torch.distributed.rpc.shutdown">shutdown() (in module torch.distributed.rpc)</a>
+      <li><a href="rpc.html#torch.distributed.rpc.shutdown">shutdown() (in module torch.distributed.rpc)</a>
 </li>
       <li><a href="nn.html#torch.nn.Sigmoid">Sigmoid (class in torch.nn)</a>
 </li>
@@ -4656,7 +4656,7 @@ <h2 id="S">S</h2>
       <li><a href="amp.html#torch.cuda.amp.GradScaler.step">step() (torch.cuda.amp.GradScaler method)</a>
 
       <ul>
-        <li><a href="rpc/rpc.html#torch.distributed.optim.DistributedOptimizer.step">(torch.distributed.optim.DistributedOptimizer method)</a>
+        <li><a href="rpc.html#torch.distributed.optim.DistributedOptimizer.step">(torch.distributed.optim.DistributedOptimizer method)</a>
 </li>
         <li><a href="optim.html#torch.optim.Adadelta.step">(torch.optim.Adadelta method)</a>
 </li>
@@ -4955,7 +4955,7 @@ <h2 id="T">T</h2>
 </li>
       <li><a href="torchvision/transforms.html#torchvision.transforms.functional.to_grayscale">to_grayscale() (in module torchvision.transforms.functional)</a>
 </li>
-      <li><a href="rpc/rpc.html#torch.distributed.rpc.RRef.to_here">to_here() (torch.distributed.rpc.RRef method)</a>
+      <li><a href="rpc.html#torch.distributed.rpc.RRef.to_here">to_here() (torch.distributed.rpc.RRef method)</a>
 </li>
       <li><a href="tensors.html#torch.Tensor.to_mkldnn">to_mkldnn() (torch.Tensor method)</a>
 </li>
@@ -5011,13 +5011,13 @@ <h2 id="T">T</h2>
 </li>
       <li><a href="distributed.html#module-torch.distributed">torch.distributed (module)</a>
 </li>
-      <li><a href="rpc/rpc.html#module-torch.distributed.autograd">torch.distributed.autograd (module)</a>
+      <li><a href="rpc.html#module-torch.distributed.autograd">torch.distributed.autograd (module)</a>
 </li>
       <li><a href="distributed.html#module-torch.distributed.launch">torch.distributed.launch (module)</a>
 </li>
-      <li><a href="rpc/rpc.html#module-torch.distributed.optim">torch.distributed.optim (module)</a>
+      <li><a href="rpc.html#module-torch.distributed.optim">torch.distributed.optim (module)</a>
 </li>
-      <li><a href="rpc/rpc.html#module-torch.distributed.rpc">torch.distributed.rpc (module)</a>
+      <li><a href="rpc.html#module-torch.distributed.rpc">torch.distributed.rpc (module)</a>
 </li>
       <li><a href="distributions.html#module-torch.distributions">torch.distributions (module)</a>
 </li>
@@ -5449,7 +5449,7 @@ <h2 id="W">W</h2>
 </li>
       <li><a href="torchvision/models.html#torchvision.models.wide_resnet50_2">wide_resnet50_2() (in module torchvision.models)</a>
 </li>
-      <li><a href="rpc/rpc.html#torch.distributed.rpc.WorkerInfo">WorkerInfo (class in torch.distributed.rpc)</a>
+      <li><a href="rpc.html#torch.distributed.rpc.WorkerInfo">WorkerInfo (class in torch.distributed.rpc)</a>
 </li>
       <li><a href="torchvision/io.html#torchvision.io.write_video">write_video() (in module torchvision.io)</a>
 </li>
@@ -5782,4 +5782,4 @@ <h2>Resources</h2>
     })
   </script>
 </body>
-</html>
+</html>