From 40062f69bac2d42a424c790dd950e61af73c6a36 Mon Sep 17 00:00:00 2001
From: pytorchbot <soumith+bot@pytorch.org>
Date: Thu, 23 Feb 2023 13:01:01 +0000
Subject: [PATCH] Generate Python docs from
 pytorch/pytorch@0553b46df1f7ddd16f02f00f08c80426d4395e17

---
 docs/2.0/_images/RReLU.png                    | Bin 33716 -> 34198 bytes
 docs/2.0/_modules/torch/onnx/utils.html       |   9 +
 .../2.0/_modules/torch/profiler/profiler.html |   5 +-
 docs/2.0/profiler.html                        |   5 +-
 .../quantization-backend-configuration.html   | 168 +++++++++---------
 docs/2.0/searchindex.js                       |   2 +-
 docs/2.0/torch.html                           |  12 +-
 7 files changed, 106 insertions(+), 95 deletions(-)

diff --git a/docs/2.0/_images/RReLU.png b/docs/2.0/_images/RReLU.png
index 6260ce6f95c7ad41b03a680c51c08d2de3a67af0..4e4fff7a86effcb643ca105783d8721de23b010f 100644
GIT binary patch
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diff --git a/docs/2.0/_modules/torch/onnx/utils.html b/docs/2.0/_modules/torch/onnx/utils.html
index ae68ecc8d631..af7aa2d49d19 100644
--- a/docs/2.0/_modules/torch/onnx/utils.html
+++ b/docs/2.0/_modules/torch/onnx/utils.html
@@ -1927,6 +1927,15 @@ <h1>Source code for torch.onnx.utils</h1><div class="highlight"><pre>
     <span class="k">if</span> <span class="n">export_type</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
         <span class="n">export_type</span> <span class="o">=</span> <span class="n">_exporter_states</span><span class="o">.</span><span class="n">ExportTypes</span><span class="o">.</span><span class="n">PROTOBUF_FILE</span>
 
+    <span class="c1"># Discussed deprecation with Nikita Shulga and Sergii Dymchenko from Meta</span>
+    <span class="k">if</span> <span class="n">_C_onnx</span><span class="o">.</span><span class="n">_CAFFE2_ATEN_FALLBACK</span><span class="p">:</span>
+        <span class="n">warnings</span><span class="o">.</span><span class="n">warn</span><span class="p">(</span>
+            <span class="s2">&quot;Caffe2 ONNX exporter is deprecated in version 2.0 and will be &quot;</span>
+            <span class="s2">&quot;removed in 2.2. Please use PyTorch 2.1 or older for this capability.&quot;</span><span class="p">,</span>
+            <span class="n">category</span><span class="o">=</span><span class="ne">FutureWarning</span><span class="p">,</span>
+            <span class="n">stacklevel</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span>
+        <span class="p">)</span>
+
     <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">model</span><span class="p">,</span> <span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">DataParallel</span><span class="p">):</span>
         <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span>
             <span class="s2">&quot;torch.nn.DataParallel is not supported by ONNX &quot;</span>
diff --git a/docs/2.0/_modules/torch/profiler/profiler.html b/docs/2.0/_modules/torch/profiler/profiler.html
index b0e8a5c69c1f..055f1ed14a8b 100644
--- a/docs/2.0/_modules/torch/profiler/profiler.html
+++ b/docs/2.0/_modules/torch/profiler/profiler.html
@@ -846,7 +846,7 @@ <h1>Source code for torch.profiler.profiler</h1><div class="highlight"><pre>
 <span class="sd">                torch.profiler.ProfilerActivity.CUDA,</span>
 <span class="sd">            ],</span>
 
-<span class="sd">            # In this example with wait=1, warmup=1, active=2,</span>
+<span class="sd">            # In this example with wait=1, warmup=1, active=2, repeat=1,</span>
 <span class="sd">            # profiler will skip the first step/iteration,</span>
 <span class="sd">            # start warming up on the second, record</span>
 <span class="sd">            # the third and the forth iterations,</span>
@@ -857,7 +857,8 @@ <h1>Source code for torch.profiler.profiler</h1><div class="highlight"><pre>
 <span class="sd">            schedule=torch.profiler.schedule(</span>
 <span class="sd">                wait=1,</span>
 <span class="sd">                warmup=1,</span>
-<span class="sd">                active=2),</span>
+<span class="sd">                active=2,</span>
+<span class="sd">                repeat=1),</span>
 <span class="sd">            on_trace_ready=trace_handler</span>
 <span class="sd">            # on_trace_ready=torch.profiler.tensorboard_trace_handler(&#39;./log&#39;)</span>
 <span class="sd">            # used when outputting for tensorboard</span>
diff --git a/docs/2.0/profiler.html b/docs/2.0/profiler.html
index 96ec78af18ae..e297b5324111 100644
--- a/docs/2.0/profiler.html
+++ b/docs/2.0/profiler.html
@@ -661,7 +661,7 @@ <h2>API Reference<a class="headerlink" href="#api-reference" title="Permalink to
         <span class="n">torch</span><span class="o">.</span><span class="n">profiler</span><span class="o">.</span><span class="n">ProfilerActivity</span><span class="o">.</span><span class="n">CUDA</span><span class="p">,</span>
     <span class="p">],</span>
 
-    <span class="c1"># In this example with wait=1, warmup=1, active=2,</span>
+    <span class="c1"># In this example with wait=1, warmup=1, active=2, repeat=1,</span>
     <span class="c1"># profiler will skip the first step/iteration,</span>
     <span class="c1"># start warming up on the second, record</span>
     <span class="c1"># the third and the forth iterations,</span>
@@ -672,7 +672,8 @@ <h2>API Reference<a class="headerlink" href="#api-reference" title="Permalink to
     <span class="n">schedule</span><span class="o">=</span><span class="n">torch</span><span class="o">.</span><span class="n">profiler</span><span class="o">.</span><span class="n">schedule</span><span class="p">(</span>
         <span class="n">wait</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
         <span class="n">warmup</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
-        <span class="n">active</span><span class="o">=</span><span class="mi">2</span><span class="p">),</span>
+        <span class="n">active</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span>
+        <span class="n">repeat</span><span class="o">=</span><span class="mi">1</span><span class="p">),</span>
     <span class="n">on_trace_ready</span><span class="o">=</span><span class="n">trace_handler</span>
     <span class="c1"># on_trace_ready=torch.profiler.tensorboard_trace_handler(&#39;./log&#39;)</span>
     <span class="c1"># used when outputting for tensorboard</span>
diff --git a/docs/2.0/quantization-backend-configuration.html b/docs/2.0/quantization-backend-configuration.html
index 4943367e62e8..57eba473629e 100644
--- a/docs/2.0/quantization-backend-configuration.html
+++ b/docs/2.0/quantization-backend-configuration.html
@@ -479,7 +479,7 @@ <h2>Default values for native configurations<a class="headerlink" href="#default
   &#39;observation_type&#39;: ObservationType.OUTPUT_SHARE_OBSERVER_WITH_INPUT,
 },
 {
-  &#39;pattern&#39;: &lt;built-in method adaptive_avg_pool1d of type object at 0x7f5054f74f20&gt;,
+  &#39;pattern&#39;: &lt;built-in method adaptive_avg_pool1d of type object at 0x7fba0a35bf20&gt;,
   &#39;dtype_configs&#39;: [
     {
       &#39;input_dtype&#39;: DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=None, quant_max_upper_bound=None, scale_min_lower_bound=None, scale_max_upper_bound=None, scale_exact_match=None, zero_point_exact_match=None),
@@ -499,7 +499,7 @@ <h2>Default values for native configurations<a class="headerlink" href="#default
   &#39;observation_type&#39;: ObservationType.OUTPUT_SHARE_OBSERVER_WITH_INPUT,
 },
 {
-  &#39;pattern&#39;: &lt;function adaptive_avg_pool2d at 0x7f5002f99790&gt;,
+  &#39;pattern&#39;: &lt;function adaptive_avg_pool2d at 0x7fb9b837e790&gt;,
   &#39;dtype_configs&#39;: [
     {
       &#39;input_dtype&#39;: DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=None, quant_max_upper_bound=None, scale_min_lower_bound=None, scale_max_upper_bound=None, scale_exact_match=None, zero_point_exact_match=None),
@@ -519,7 +519,7 @@ <h2>Default values for native configurations<a class="headerlink" href="#default
   &#39;observation_type&#39;: ObservationType.OUTPUT_SHARE_OBSERVER_WITH_INPUT,
 },
 {
-  &#39;pattern&#39;: &lt;function adaptive_avg_pool3d at 0x7f5002f99820&gt;,
+  &#39;pattern&#39;: &lt;function adaptive_avg_pool3d at 0x7fb9b837e820&gt;,
   &#39;dtype_configs&#39;: [
     {
       &#39;input_dtype&#39;: DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=None, quant_max_upper_bound=None, scale_min_lower_bound=None, scale_max_upper_bound=None, scale_exact_match=None, zero_point_exact_match=None),
@@ -544,7 +544,7 @@ <h2>Default values for native configurations<a class="headerlink" href="#default
   &#39;observation_type&#39;: ObservationType.OUTPUT_USE_DIFFERENT_OBSERVER_AS_INPUT,
 },
 {
-  &#39;pattern&#39;: &lt;built-in method add of type object at 0x7f5054f74f20&gt;,
+  &#39;pattern&#39;: &lt;built-in method add of type object at 0x7fba0a35bf20&gt;,
   &#39;dtype_configs&#39;: [
     {
       &#39;input_dtype&#39;: DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=None, quant_max_upper_bound=None, scale_min_lower_bound=None, scale_max_upper_bound=None, scale_exact_match=None, zero_point_exact_match=None),
@@ -569,7 +569,7 @@ <h2>Default values for native configurations<a class="headerlink" href="#default
   &#39;observation_type&#39;: ObservationType.OUTPUT_SHARE_OBSERVER_WITH_INPUT,
 },
 {
-  &#39;pattern&#39;: &lt;built-in method avg_pool1d of type object at 0x7f5054f74f20&gt;,
+  &#39;pattern&#39;: &lt;built-in method avg_pool1d of type object at 0x7fba0a35bf20&gt;,
   &#39;dtype_configs&#39;: [
     {
       &#39;input_dtype&#39;: DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=None, quant_max_upper_bound=None, scale_min_lower_bound=None, scale_max_upper_bound=None, scale_exact_match=None, zero_point_exact_match=None),
@@ -630,7 +630,7 @@ <h2>Default values for native configurations<a class="headerlink" href="#default
   ],
   &#39;observation_type&#39;: ObservationType.OUTPUT_USE_DIFFERENT_OBSERVER_AS_INPUT,
   &#39;fused_module&#39;: &lt;class &#39;torch.ao.nn.intrinsic.modules.fused.ConvBn1d&#39;&gt;,
-  &#39;fuser_method&#39;: &lt;function fuse_conv_bn at 0x7f50021170d0&gt;,
+  &#39;fuser_method&#39;: &lt;function fuse_conv_bn at 0x7fb9b74fc160&gt;,
 },
 {
   &#39;pattern&#39;: (&lt;class &#39;torch.nn.modules.conv.ConvTranspose1d&#39;&gt;, &lt;class &#39;torch.nn.modules.batchnorm.BatchNorm1d&#39;&gt;),
@@ -645,7 +645,7 @@ <h2>Default values for native configurations<a class="headerlink" href="#default
   &#39;observation_type&#39;: ObservationType.OUTPUT_USE_DIFFERENT_OBSERVER_AS_INPUT,
   &#39;root_module&#39;: &lt;class &#39;torch.nn.modules.conv.ConvTranspose1d&#39;&gt;,
   &#39;reference_quantized_module_for_root&#39;: &lt;class &#39;torch.ao.nn.quantized.reference.modules.conv.ConvTranspose1d&#39;&gt;,
-  &#39;fuser_method&#39;: &lt;function fuse_convtranspose_bn at 0x7f5002117280&gt;,
+  &#39;fuser_method&#39;: &lt;function fuse_convtranspose_bn at 0x7fb9b74fc310&gt;,
 },
 {
   &#39;pattern&#39;: (&lt;class &#39;torch.nn.modules.linear.Linear&#39;&gt;, &lt;class &#39;torch.nn.modules.batchnorm.BatchNorm1d&#39;&gt;),
@@ -673,7 +673,7 @@ <h2>Default values for native configurations<a class="headerlink" href="#default
   ],
   &#39;observation_type&#39;: ObservationType.OUTPUT_USE_DIFFERENT_OBSERVER_AS_INPUT,
   &#39;fused_module&#39;: &lt;class &#39;torch.ao.nn.intrinsic.modules.fused.LinearBn1d&#39;&gt;,
-  &#39;fuser_method&#39;: &lt;function fuse_linear_bn at 0x7f50021171f0&gt;,
+  &#39;fuser_method&#39;: &lt;function fuse_linear_bn at 0x7fb9b74fc280&gt;,
 },
 {
   &#39;pattern&#39;: (&lt;class &#39;torch.nn.modules.conv.Conv2d&#39;&gt;, &lt;class &#39;torch.nn.modules.batchnorm.BatchNorm2d&#39;&gt;),
@@ -687,7 +687,7 @@ <h2>Default values for native configurations<a class="headerlink" href="#default
   ],
   &#39;observation_type&#39;: ObservationType.OUTPUT_USE_DIFFERENT_OBSERVER_AS_INPUT,
   &#39;fused_module&#39;: &lt;class &#39;torch.ao.nn.intrinsic.modules.fused.ConvBn2d&#39;&gt;,
-  &#39;fuser_method&#39;: &lt;function fuse_conv_bn at 0x7f50021170d0&gt;,
+  &#39;fuser_method&#39;: &lt;function fuse_conv_bn at 0x7fb9b74fc160&gt;,
 },
 {
   &#39;pattern&#39;: (&lt;class &#39;torch.nn.modules.conv.ConvTranspose2d&#39;&gt;, &lt;class &#39;torch.nn.modules.batchnorm.BatchNorm2d&#39;&gt;),
@@ -702,7 +702,7 @@ <h2>Default values for native configurations<a class="headerlink" href="#default
   &#39;observation_type&#39;: ObservationType.OUTPUT_USE_DIFFERENT_OBSERVER_AS_INPUT,
   &#39;root_module&#39;: &lt;class &#39;torch.nn.modules.conv.ConvTranspose2d&#39;&gt;,
   &#39;reference_quantized_module_for_root&#39;: &lt;class &#39;torch.ao.nn.quantized.reference.modules.conv.ConvTranspose2d&#39;&gt;,
-  &#39;fuser_method&#39;: &lt;function fuse_convtranspose_bn at 0x7f5002117280&gt;,
+  &#39;fuser_method&#39;: &lt;function fuse_convtranspose_bn at 0x7fb9b74fc310&gt;,
 },
 {
   &#39;pattern&#39;: &lt;class &#39;torch.nn.modules.batchnorm.BatchNorm2d&#39;&gt;,
@@ -726,7 +726,7 @@ <h2>Default values for native configurations<a class="headerlink" href="#default
   ],
   &#39;observation_type&#39;: ObservationType.OUTPUT_USE_DIFFERENT_OBSERVER_AS_INPUT,
   &#39;fused_module&#39;: &lt;class &#39;torch.ao.nn.intrinsic.modules.fused.ConvBn3d&#39;&gt;,
-  &#39;fuser_method&#39;: &lt;function fuse_conv_bn at 0x7f50021170d0&gt;,
+  &#39;fuser_method&#39;: &lt;function fuse_conv_bn at 0x7fb9b74fc160&gt;,
 },
 {
   &#39;pattern&#39;: (&lt;class &#39;torch.nn.modules.conv.ConvTranspose3d&#39;&gt;, &lt;class &#39;torch.nn.modules.batchnorm.BatchNorm3d&#39;&gt;),
@@ -741,7 +741,7 @@ <h2>Default values for native configurations<a class="headerlink" href="#default
   &#39;observation_type&#39;: ObservationType.OUTPUT_USE_DIFFERENT_OBSERVER_AS_INPUT,
   &#39;root_module&#39;: &lt;class &#39;torch.nn.modules.conv.ConvTranspose3d&#39;&gt;,
   &#39;reference_quantized_module_for_root&#39;: &lt;class &#39;torch.ao.nn.quantized.reference.modules.conv.ConvTranspose3d&#39;&gt;,
-  &#39;fuser_method&#39;: &lt;function fuse_convtranspose_bn at 0x7f5002117280&gt;,
+  &#39;fuser_method&#39;: &lt;function fuse_convtranspose_bn at 0x7fb9b74fc310&gt;,
 },
 {
   &#39;pattern&#39;: &lt;class &#39;torch.nn.modules.batchnorm.BatchNorm3d&#39;&gt;,
@@ -774,7 +774,7 @@ <h2>Default values for native configurations<a class="headerlink" href="#default
   &#39;observation_type&#39;: ObservationType.OUTPUT_USE_DIFFERENT_OBSERVER_AS_INPUT,
 },
 {
-  &#39;pattern&#39;: &lt;built-in method cat of type object at 0x7f5054f74f20&gt;,
+  &#39;pattern&#39;: &lt;built-in method cat of type object at 0x7fba0a35bf20&gt;,
   &#39;dtype_configs&#39;: [
     {
       &#39;input_dtype&#39;: DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=None, quant_max_upper_bound=None, scale_min_lower_bound=None, scale_max_upper_bound=None, scale_exact_match=None, zero_point_exact_match=None),
@@ -784,7 +784,7 @@ <h2>Default values for native configurations<a class="headerlink" href="#default
   &#39;observation_type&#39;: ObservationType.OUTPUT_SHARE_OBSERVER_WITH_INPUT,
 },
 {
-  &#39;pattern&#39;: &lt;built-in method clamp of type object at 0x7f5054f74f20&gt;,
+  &#39;pattern&#39;: &lt;built-in method clamp of type object at 0x7fba0a35bf20&gt;,
   &#39;dtype_configs&#39;: [
     {
       &#39;input_dtype&#39;: DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=None, quant_max_upper_bound=None, scale_min_lower_bound=None, scale_max_upper_bound=None, scale_exact_match=None, zero_point_exact_match=None),
@@ -843,7 +843,7 @@ <h2>Default values for native configurations<a class="headerlink" href="#default
   &#39;reference_quantized_module_for_root&#39;: &lt;class &#39;torch.ao.nn.quantized.reference.modules.conv.Conv1d&#39;&gt;,
 },
 {
-  &#39;pattern&#39;: &lt;built-in method conv1d of type object at 0x7f5054f74f20&gt;,
+  &#39;pattern&#39;: &lt;built-in method conv1d of type object at 0x7fba0a35bf20&gt;,
   &#39;dtype_configs&#39;: [
     {
       &#39;input_dtype&#39;: DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=None, quant_max_upper_bound=None, scale_min_lower_bound=None, scale_max_upper_bound=None, scale_exact_match=None, zero_point_exact_match=None),
@@ -885,7 +885,7 @@ <h2>Default values for native configurations<a class="headerlink" href="#default
   &#39;reference_quantized_module_for_root&#39;: &lt;class &#39;torch.ao.nn.quantized.reference.modules.conv.Conv2d&#39;&gt;,
 },
 {
-  &#39;pattern&#39;: &lt;built-in method conv2d of type object at 0x7f5054f74f20&gt;,
+  &#39;pattern&#39;: &lt;built-in method conv2d of type object at 0x7fba0a35bf20&gt;,
   &#39;dtype_configs&#39;: [
     {
       &#39;input_dtype&#39;: DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=None, quant_max_upper_bound=None, scale_min_lower_bound=None, scale_max_upper_bound=None, scale_exact_match=None, zero_point_exact_match=None),
@@ -927,7 +927,7 @@ <h2>Default values for native configurations<a class="headerlink" href="#default
   &#39;reference_quantized_module_for_root&#39;: &lt;class &#39;torch.ao.nn.quantized.reference.modules.conv.Conv3d&#39;&gt;,
 },
 {
-  &#39;pattern&#39;: &lt;built-in method conv3d of type object at 0x7f5054f74f20&gt;,
+  &#39;pattern&#39;: &lt;built-in method conv3d of type object at 0x7fba0a35bf20&gt;,
   &#39;dtype_configs&#39;: [
     {
       &#39;input_dtype&#39;: DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=None, quant_max_upper_bound=None, scale_min_lower_bound=None, scale_max_upper_bound=None, scale_exact_match=None, zero_point_exact_match=None),
@@ -1255,7 +1255,7 @@ <h2>Default values for native configurations<a class="headerlink" href="#default
   &#39;observation_type&#39;: ObservationType.OUTPUT_USE_DIFFERENT_OBSERVER_AS_INPUT,
 },
 {
-  &#39;pattern&#39;: &lt;function dropout at 0x7f5002f998b0&gt;,
+  &#39;pattern&#39;: &lt;function dropout at 0x7fb9b837e8b0&gt;,
   &#39;dtype_configs&#39;: [
     {
       &#39;input_dtype&#39;: DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=None, quant_max_upper_bound=None, scale_min_lower_bound=None, scale_max_upper_bound=None, scale_exact_match=None, zero_point_exact_match=None),
@@ -1275,7 +1275,7 @@ <h2>Default values for native configurations<a class="headerlink" href="#default
   &#39;observation_type&#39;: ObservationType.OUTPUT_USE_DIFFERENT_OBSERVER_AS_INPUT,
 },
 {
-  &#39;pattern&#39;: &lt;function elu at 0x7f5002f99ee0&gt;,
+  &#39;pattern&#39;: &lt;function elu at 0x7fb9b837eee0&gt;,
   &#39;dtype_configs&#39;: [
     {
       &#39;input_dtype&#39;: DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=None, quant_max_upper_bound=None, scale_min_lower_bound=None, scale_max_upper_bound=None, scale_exact_match=None, zero_point_exact_match=None),
@@ -1359,7 +1359,7 @@ <h2>Default values for native configurations<a class="headerlink" href="#default
   &#39;reference_quantized_module_for_root&#39;: &lt;class &#39;torch.ao.nn.quantized.reference.modules.sparse.EmbeddingBag&#39;&gt;,
 },
 {
-  &#39;pattern&#39;: &lt;built-in method flatten of type object at 0x7f5054f74f20&gt;,
+  &#39;pattern&#39;: &lt;built-in method flatten of type object at 0x7fba0a35bf20&gt;,
   &#39;dtype_configs&#39;: [
     {
       &#39;input_dtype&#39;: DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=None, quant_max_upper_bound=None, scale_min_lower_bound=None, scale_max_upper_bound=None, scale_exact_match=None, zero_point_exact_match=None),
@@ -1379,7 +1379,7 @@ <h2>Default values for native configurations<a class="headerlink" href="#default
   &#39;observation_type&#39;: ObservationType.OUTPUT_SHARE_OBSERVER_WITH_INPUT,
 },
 {
-  &#39;pattern&#39;: &lt;function group_norm at 0x7f5002f9cdc0&gt;,
+  &#39;pattern&#39;: &lt;function group_norm at 0x7fb9b8381dc0&gt;,
   &#39;dtype_configs&#39;: [
     {
       &#39;input_dtype&#39;: DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=None, quant_max_upper_bound=None, scale_min_lower_bound=None, scale_max_upper_bound=None, scale_exact_match=None, zero_point_exact_match=None),
@@ -1444,7 +1444,7 @@ <h2>Default values for native configurations<a class="headerlink" href="#default
   &#39;observation_type&#39;: ObservationType.OUTPUT_USE_DIFFERENT_OBSERVER_AS_INPUT,
 },
 {
-  &#39;pattern&#39;: &lt;function hardsigmoid at 0x7f5002f9c700&gt;,
+  &#39;pattern&#39;: &lt;function hardsigmoid at 0x7fb9b8381700&gt;,
   &#39;dtype_configs&#39;: [
     {
       &#39;input_dtype&#39;: DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=0, quant_max_upper_bound=255, scale_min_lower_bound=None, scale_max_upper_bound=None, scale_exact_match=0.00390625, zero_point_exact_match=0),
@@ -1484,7 +1484,7 @@ <h2>Default values for native configurations<a class="headerlink" href="#default
   &#39;observation_type&#39;: ObservationType.OUTPUT_USE_DIFFERENT_OBSERVER_AS_INPUT,
 },
 {
-  &#39;pattern&#39;: &lt;function hardswish at 0x7f5002f9c8b0&gt;,
+  &#39;pattern&#39;: &lt;function hardswish at 0x7fb9b83818b0&gt;,
   &#39;dtype_configs&#39;: [
     {
       &#39;input_dtype&#39;: DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=None, quant_max_upper_bound=None, scale_min_lower_bound=None, scale_max_upper_bound=None, scale_exact_match=None, zero_point_exact_match=None),
@@ -1504,7 +1504,7 @@ <h2>Default values for native configurations<a class="headerlink" href="#default
   &#39;observation_type&#39;: ObservationType.OUTPUT_SHARE_OBSERVER_WITH_INPUT,
 },
 {
-  &#39;pattern&#39;: &lt;function hardtanh at 0x7f5002f99dc0&gt;,
+  &#39;pattern&#39;: &lt;function hardtanh at 0x7fb9b837edc0&gt;,
   &#39;dtype_configs&#39;: [
     {
       &#39;input_dtype&#39;: DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=None, quant_max_upper_bound=None, scale_min_lower_bound=None, scale_max_upper_bound=None, scale_exact_match=None, zero_point_exact_match=None),
@@ -1534,7 +1534,7 @@ <h2>Default values for native configurations<a class="headerlink" href="#default
   &#39;observation_type&#39;: ObservationType.OUTPUT_SHARE_OBSERVER_WITH_INPUT,
 },
 {
-  &#39;pattern&#39;: &lt;function instance_norm at 0x7f5002f9cca0&gt;,
+  &#39;pattern&#39;: &lt;function instance_norm at 0x7fb9b8381ca0&gt;,
   &#39;dtype_configs&#39;: [
     {
       &#39;input_dtype&#39;: DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=None, quant_max_upper_bound=None, scale_min_lower_bound=None, scale_max_upper_bound=None, scale_exact_match=None, zero_point_exact_match=None),
@@ -1575,7 +1575,7 @@ <h2>Default values for native configurations<a class="headerlink" href="#default
   &#39;observation_type&#39;: ObservationType.OUTPUT_USE_DIFFERENT_OBSERVER_AS_INPUT,
 },
 {
-  &#39;pattern&#39;: &lt;function interpolate at 0x7f5002f38040&gt;,
+  &#39;pattern&#39;: &lt;function interpolate at 0x7fb9b831e040&gt;,
   &#39;dtype_configs&#39;: [
     {
       &#39;input_dtype&#39;: DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=None, quant_max_upper_bound=None, scale_min_lower_bound=None, scale_max_upper_bound=None, scale_exact_match=None, zero_point_exact_match=None),
@@ -1597,7 +1597,7 @@ <h2>Default values for native configurations<a class="headerlink" href="#default
   &#39;observation_type&#39;: ObservationType.OUTPUT_USE_DIFFERENT_OBSERVER_AS_INPUT,
 },
 {
-  &#39;pattern&#39;: &lt;function layer_norm at 0x7f5002f9cd30&gt;,
+  &#39;pattern&#39;: &lt;function layer_norm at 0x7fb9b8381d30&gt;,
   &#39;dtype_configs&#39;: [
     {
       &#39;input_dtype&#39;: DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=None, quant_max_upper_bound=None, scale_min_lower_bound=None, scale_max_upper_bound=None, scale_exact_match=None, zero_point_exact_match=None),
@@ -1620,7 +1620,7 @@ <h2>Default values for native configurations<a class="headerlink" href="#default
   &#39;observation_type&#39;: ObservationType.OUTPUT_USE_DIFFERENT_OBSERVER_AS_INPUT,
 },
 {
-  &#39;pattern&#39;: &lt;function leaky_relu at 0x7f5002f9c0d0&gt;,
+  &#39;pattern&#39;: &lt;function leaky_relu at 0x7fb9b83810d0&gt;,
   &#39;dtype_configs&#39;: [
     {
       &#39;input_dtype&#39;: DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=None, quant_max_upper_bound=None, scale_min_lower_bound=None, scale_max_upper_bound=None, scale_exact_match=None, zero_point_exact_match=None),
@@ -1872,7 +1872,7 @@ <h2>Default values for native configurations<a class="headerlink" href="#default
   &#39;reference_quantized_module_for_root&#39;: &lt;class &#39;torch.ao.nn.quantized.reference.modules.rnn.LSTMCell&#39;&gt;,
 },
 {
-  &#39;pattern&#39;: &lt;built-in method matmul of type object at 0x7f5054f74f20&gt;,
+  &#39;pattern&#39;: &lt;built-in method matmul of type object at 0x7fba0a35bf20&gt;,
   &#39;dtype_configs&#39;: [
     {
       &#39;input_dtype&#39;: DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=None, quant_max_upper_bound=None, scale_min_lower_bound=None, scale_max_upper_bound=None, scale_exact_match=None, zero_point_exact_match=None),
@@ -1942,7 +1942,7 @@ <h2>Default values for native configurations<a class="headerlink" href="#default
   &#39;observation_type&#39;: ObservationType.OUTPUT_SHARE_OBSERVER_WITH_INPUT,
 },
 {
-  &#39;pattern&#39;: &lt;built-in method mean of type object at 0x7f5054f74f20&gt;,
+  &#39;pattern&#39;: &lt;built-in method mean of type object at 0x7fba0a35bf20&gt;,
   &#39;dtype_configs&#39;: [
     {
       &#39;input_dtype&#39;: DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=None, quant_max_upper_bound=None, scale_min_lower_bound=None, scale_max_upper_bound=None, scale_exact_match=None, zero_point_exact_match=None),
@@ -1977,7 +1977,7 @@ <h2>Default values for native configurations<a class="headerlink" href="#default
   &#39;observation_type&#39;: ObservationType.OUTPUT_USE_DIFFERENT_OBSERVER_AS_INPUT,
 },
 {
-  &#39;pattern&#39;: &lt;built-in method mul of type object at 0x7f5054f74f20&gt;,
+  &#39;pattern&#39;: &lt;built-in method mul of type object at 0x7fba0a35bf20&gt;,
   &#39;dtype_configs&#39;: [
     {
       &#39;input_dtype&#39;: DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=None, quant_max_upper_bound=None, scale_min_lower_bound=None, scale_max_upper_bound=None, scale_exact_match=None, zero_point_exact_match=None),
@@ -2023,10 +2023,10 @@ <h2>Default values for native configurations<a class="headerlink" href="#default
   ],
   &#39;observation_type&#39;: ObservationType.OUTPUT_USE_DIFFERENT_OBSERVER_AS_INPUT,
   &#39;fused_module&#39;: &lt;class &#39;torch.ao.nn.intrinsic.modules.fused.ConvReLU1d&#39;&gt;,
-  &#39;fuser_method&#39;: &lt;function _sequential_wrapper2.&lt;locals&gt;.fuser_method at 0x7f505c07c430&gt;,
+  &#39;fuser_method&#39;: &lt;function _sequential_wrapper2.&lt;locals&gt;.fuser_method at 0x7fba11463430&gt;,
 },
 {
-  &#39;pattern&#39;: (&lt;class &#39;torch.nn.modules.conv.Conv1d&#39;&gt;, &lt;function relu at 0x7f5002f99ca0&gt;),
+  &#39;pattern&#39;: (&lt;class &#39;torch.nn.modules.conv.Conv1d&#39;&gt;, &lt;function relu at 0x7fb9b837eca0&gt;),
   &#39;dtype_configs&#39;: [
     {
       &#39;input_dtype&#39;: DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=None, quant_max_upper_bound=None, scale_min_lower_bound=None, scale_max_upper_bound=None, scale_exact_match=None, zero_point_exact_match=None),
@@ -2037,10 +2037,10 @@ <h2>Default values for native configurations<a class="headerlink" href="#default
   ],
   &#39;observation_type&#39;: ObservationType.OUTPUT_USE_DIFFERENT_OBSERVER_AS_INPUT,
   &#39;fused_module&#39;: &lt;class &#39;torch.ao.nn.intrinsic.modules.fused.ConvReLU1d&#39;&gt;,
-  &#39;fuser_method&#39;: &lt;function _sequential_wrapper2.&lt;locals&gt;.fuser_method at 0x7f5000568040&gt;,
+  &#39;fuser_method&#39;: &lt;function _sequential_wrapper2.&lt;locals&gt;.fuser_method at 0x7fb9b594f0d0&gt;,
 },
 {
-  &#39;pattern&#39;: (&lt;built-in method conv1d of type object at 0x7f5054f74f20&gt;, &lt;class &#39;torch.nn.modules.activation.ReLU&#39;&gt;),
+  &#39;pattern&#39;: (&lt;built-in method conv1d of type object at 0x7fba0a35bf20&gt;, &lt;class &#39;torch.nn.modules.activation.ReLU&#39;&gt;),
   &#39;dtype_configs&#39;: [
     {
       &#39;input_dtype&#39;: DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=None, quant_max_upper_bound=None, scale_min_lower_bound=None, scale_max_upper_bound=None, scale_exact_match=None, zero_point_exact_match=None),
@@ -2052,7 +2052,7 @@ <h2>Default values for native configurations<a class="headerlink" href="#default
   &#39;observation_type&#39;: ObservationType.OUTPUT_USE_DIFFERENT_OBSERVER_AS_INPUT,
 },
 {
-  &#39;pattern&#39;: (&lt;built-in method conv1d of type object at 0x7f5054f74f20&gt;, &lt;function relu at 0x7f5002f99ca0&gt;),
+  &#39;pattern&#39;: (&lt;built-in method conv1d of type object at 0x7fba0a35bf20&gt;, &lt;function relu at 0x7fb9b837eca0&gt;),
   &#39;dtype_configs&#39;: [
     {
       &#39;input_dtype&#39;: DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=None, quant_max_upper_bound=None, scale_min_lower_bound=None, scale_max_upper_bound=None, scale_exact_match=None, zero_point_exact_match=None),
@@ -2075,10 +2075,10 @@ <h2>Default values for native configurations<a class="headerlink" href="#default
   ],
   &#39;observation_type&#39;: ObservationType.OUTPUT_USE_DIFFERENT_OBSERVER_AS_INPUT,
   &#39;fused_module&#39;: &lt;class &#39;torch.ao.nn.intrinsic.modules.fused.ConvBnReLU1d&#39;&gt;,
-  &#39;fuser_method&#39;: &lt;function fuse_conv_bn_relu at 0x7f5002117160&gt;,
+  &#39;fuser_method&#39;: &lt;function fuse_conv_bn_relu at 0x7fb9b74fc1f0&gt;,
 },
 {
-  &#39;pattern&#39;: (&lt;class &#39;torch.nn.modules.conv.Conv1d&#39;&gt;, &lt;class &#39;torch.nn.modules.batchnorm.BatchNorm1d&#39;&gt;, &lt;function relu at 0x7f5002f99ca0&gt;),
+  &#39;pattern&#39;: (&lt;class &#39;torch.nn.modules.conv.Conv1d&#39;&gt;, &lt;class &#39;torch.nn.modules.batchnorm.BatchNorm1d&#39;&gt;, &lt;function relu at 0x7fb9b837eca0&gt;),
   &#39;dtype_configs&#39;: [
     {
       &#39;input_dtype&#39;: DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=None, quant_max_upper_bound=None, scale_min_lower_bound=None, scale_max_upper_bound=None, scale_exact_match=None, zero_point_exact_match=None),
@@ -2090,7 +2090,7 @@ <h2>Default values for native configurations<a class="headerlink" href="#default
   &#39;observation_type&#39;: ObservationType.OUTPUT_USE_DIFFERENT_OBSERVER_AS_INPUT,
   &#39;root_module&#39;: &lt;class &#39;torch.nn.modules.conv.Conv1d&#39;&gt;,
   &#39;fused_module&#39;: &lt;class &#39;torch.ao.nn.intrinsic.modules.fused.ConvBnReLU1d&#39;&gt;,
-  &#39;fuser_method&#39;: &lt;function fuse_conv_bn_relu at 0x7f5002117160&gt;,
+  &#39;fuser_method&#39;: &lt;function fuse_conv_bn_relu at 0x7fb9b74fc1f0&gt;,
 },
 {
   &#39;pattern&#39;: (&lt;class &#39;torch.nn.modules.conv.Conv2d&#39;&gt;, &lt;class &#39;torch.nn.modules.activation.ReLU&#39;&gt;),
@@ -2104,10 +2104,10 @@ <h2>Default values for native configurations<a class="headerlink" href="#default
   ],
   &#39;observation_type&#39;: ObservationType.OUTPUT_USE_DIFFERENT_OBSERVER_AS_INPUT,
   &#39;fused_module&#39;: &lt;class &#39;torch.ao.nn.intrinsic.modules.fused.ConvReLU2d&#39;&gt;,
-  &#39;fuser_method&#39;: &lt;function _sequential_wrapper2.&lt;locals&gt;.fuser_method at 0x7f50005680d0&gt;,
+  &#39;fuser_method&#39;: &lt;function _sequential_wrapper2.&lt;locals&gt;.fuser_method at 0x7fb9b594f160&gt;,
 },
 {
-  &#39;pattern&#39;: (&lt;class &#39;torch.nn.modules.conv.Conv2d&#39;&gt;, &lt;function relu at 0x7f5002f99ca0&gt;),
+  &#39;pattern&#39;: (&lt;class &#39;torch.nn.modules.conv.Conv2d&#39;&gt;, &lt;function relu at 0x7fb9b837eca0&gt;),
   &#39;dtype_configs&#39;: [
     {
       &#39;input_dtype&#39;: DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=None, quant_max_upper_bound=None, scale_min_lower_bound=None, scale_max_upper_bound=None, scale_exact_match=None, zero_point_exact_match=None),
@@ -2118,10 +2118,10 @@ <h2>Default values for native configurations<a class="headerlink" href="#default
   ],
   &#39;observation_type&#39;: ObservationType.OUTPUT_USE_DIFFERENT_OBSERVER_AS_INPUT,
   &#39;fused_module&#39;: &lt;class &#39;torch.ao.nn.intrinsic.modules.fused.ConvReLU2d&#39;&gt;,
-  &#39;fuser_method&#39;: &lt;function _sequential_wrapper2.&lt;locals&gt;.fuser_method at 0x7f5000568160&gt;,
+  &#39;fuser_method&#39;: &lt;function _sequential_wrapper2.&lt;locals&gt;.fuser_method at 0x7fb9b594f1f0&gt;,
 },
 {
-  &#39;pattern&#39;: (&lt;built-in method conv2d of type object at 0x7f5054f74f20&gt;, &lt;class &#39;torch.nn.modules.activation.ReLU&#39;&gt;),
+  &#39;pattern&#39;: (&lt;built-in method conv2d of type object at 0x7fba0a35bf20&gt;, &lt;class &#39;torch.nn.modules.activation.ReLU&#39;&gt;),
   &#39;dtype_configs&#39;: [
     {
       &#39;input_dtype&#39;: DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=None, quant_max_upper_bound=None, scale_min_lower_bound=None, scale_max_upper_bound=None, scale_exact_match=None, zero_point_exact_match=None),
@@ -2133,7 +2133,7 @@ <h2>Default values for native configurations<a class="headerlink" href="#default
   &#39;observation_type&#39;: ObservationType.OUTPUT_USE_DIFFERENT_OBSERVER_AS_INPUT,
 },
 {
-  &#39;pattern&#39;: (&lt;built-in method conv2d of type object at 0x7f5054f74f20&gt;, &lt;function relu at 0x7f5002f99ca0&gt;),
+  &#39;pattern&#39;: (&lt;built-in method conv2d of type object at 0x7fba0a35bf20&gt;, &lt;function relu at 0x7fb9b837eca0&gt;),
   &#39;dtype_configs&#39;: [
     {
       &#39;input_dtype&#39;: DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=None, quant_max_upper_bound=None, scale_min_lower_bound=None, scale_max_upper_bound=None, scale_exact_match=None, zero_point_exact_match=None),
@@ -2156,10 +2156,10 @@ <h2>Default values for native configurations<a class="headerlink" href="#default
   ],
   &#39;observation_type&#39;: ObservationType.OUTPUT_USE_DIFFERENT_OBSERVER_AS_INPUT,
   &#39;fused_module&#39;: &lt;class &#39;torch.ao.nn.intrinsic.modules.fused.ConvBnReLU2d&#39;&gt;,
-  &#39;fuser_method&#39;: &lt;function fuse_conv_bn_relu at 0x7f5002117160&gt;,
+  &#39;fuser_method&#39;: &lt;function fuse_conv_bn_relu at 0x7fb9b74fc1f0&gt;,
 },
 {
-  &#39;pattern&#39;: (&lt;class &#39;torch.nn.modules.conv.Conv2d&#39;&gt;, &lt;class &#39;torch.nn.modules.batchnorm.BatchNorm2d&#39;&gt;, &lt;function relu at 0x7f5002f99ca0&gt;),
+  &#39;pattern&#39;: (&lt;class &#39;torch.nn.modules.conv.Conv2d&#39;&gt;, &lt;class &#39;torch.nn.modules.batchnorm.BatchNorm2d&#39;&gt;, &lt;function relu at 0x7fb9b837eca0&gt;),
   &#39;dtype_configs&#39;: [
     {
       &#39;input_dtype&#39;: DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=None, quant_max_upper_bound=None, scale_min_lower_bound=None, scale_max_upper_bound=None, scale_exact_match=None, zero_point_exact_match=None),
@@ -2171,7 +2171,7 @@ <h2>Default values for native configurations<a class="headerlink" href="#default
   &#39;observation_type&#39;: ObservationType.OUTPUT_USE_DIFFERENT_OBSERVER_AS_INPUT,
   &#39;root_module&#39;: &lt;class &#39;torch.nn.modules.conv.Conv2d&#39;&gt;,
   &#39;fused_module&#39;: &lt;class &#39;torch.ao.nn.intrinsic.modules.fused.ConvBnReLU2d&#39;&gt;,
-  &#39;fuser_method&#39;: &lt;function fuse_conv_bn_relu at 0x7f5002117160&gt;,
+  &#39;fuser_method&#39;: &lt;function fuse_conv_bn_relu at 0x7fb9b74fc1f0&gt;,
 },
 {
   &#39;pattern&#39;: (&lt;class &#39;torch.nn.modules.conv.Conv3d&#39;&gt;, &lt;class &#39;torch.nn.modules.activation.ReLU&#39;&gt;),
@@ -2185,10 +2185,10 @@ <h2>Default values for native configurations<a class="headerlink" href="#default
   ],
   &#39;observation_type&#39;: ObservationType.OUTPUT_USE_DIFFERENT_OBSERVER_AS_INPUT,
   &#39;fused_module&#39;: &lt;class &#39;torch.ao.nn.intrinsic.modules.fused.ConvReLU3d&#39;&gt;,
-  &#39;fuser_method&#39;: &lt;function _sequential_wrapper2.&lt;locals&gt;.fuser_method at 0x7f50005681f0&gt;,
+  &#39;fuser_method&#39;: &lt;function _sequential_wrapper2.&lt;locals&gt;.fuser_method at 0x7fb9b594f280&gt;,
 },
 {
-  &#39;pattern&#39;: (&lt;class &#39;torch.nn.modules.conv.Conv3d&#39;&gt;, &lt;function relu at 0x7f5002f99ca0&gt;),
+  &#39;pattern&#39;: (&lt;class &#39;torch.nn.modules.conv.Conv3d&#39;&gt;, &lt;function relu at 0x7fb9b837eca0&gt;),
   &#39;dtype_configs&#39;: [
     {
       &#39;input_dtype&#39;: DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=None, quant_max_upper_bound=None, scale_min_lower_bound=None, scale_max_upper_bound=None, scale_exact_match=None, zero_point_exact_match=None),
@@ -2199,10 +2199,10 @@ <h2>Default values for native configurations<a class="headerlink" href="#default
   ],
   &#39;observation_type&#39;: ObservationType.OUTPUT_USE_DIFFERENT_OBSERVER_AS_INPUT,
   &#39;fused_module&#39;: &lt;class &#39;torch.ao.nn.intrinsic.modules.fused.ConvReLU3d&#39;&gt;,
-  &#39;fuser_method&#39;: &lt;function _sequential_wrapper2.&lt;locals&gt;.fuser_method at 0x7f5000568280&gt;,
+  &#39;fuser_method&#39;: &lt;function _sequential_wrapper2.&lt;locals&gt;.fuser_method at 0x7fb9b594f310&gt;,
 },
 {
-  &#39;pattern&#39;: (&lt;built-in method conv3d of type object at 0x7f5054f74f20&gt;, &lt;class &#39;torch.nn.modules.activation.ReLU&#39;&gt;),
+  &#39;pattern&#39;: (&lt;built-in method conv3d of type object at 0x7fba0a35bf20&gt;, &lt;class &#39;torch.nn.modules.activation.ReLU&#39;&gt;),
   &#39;dtype_configs&#39;: [
     {
       &#39;input_dtype&#39;: DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=None, quant_max_upper_bound=None, scale_min_lower_bound=None, scale_max_upper_bound=None, scale_exact_match=None, zero_point_exact_match=None),
@@ -2214,7 +2214,7 @@ <h2>Default values for native configurations<a class="headerlink" href="#default
   &#39;observation_type&#39;: ObservationType.OUTPUT_USE_DIFFERENT_OBSERVER_AS_INPUT,
 },
 {
-  &#39;pattern&#39;: (&lt;built-in method conv3d of type object at 0x7f5054f74f20&gt;, &lt;function relu at 0x7f5002f99ca0&gt;),
+  &#39;pattern&#39;: (&lt;built-in method conv3d of type object at 0x7fba0a35bf20&gt;, &lt;function relu at 0x7fb9b837eca0&gt;),
   &#39;dtype_configs&#39;: [
     {
       &#39;input_dtype&#39;: DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=None, quant_max_upper_bound=None, scale_min_lower_bound=None, scale_max_upper_bound=None, scale_exact_match=None, zero_point_exact_match=None),
@@ -2237,10 +2237,10 @@ <h2>Default values for native configurations<a class="headerlink" href="#default
   ],
   &#39;observation_type&#39;: ObservationType.OUTPUT_USE_DIFFERENT_OBSERVER_AS_INPUT,
   &#39;fused_module&#39;: &lt;class &#39;torch.ao.nn.intrinsic.modules.fused.ConvBnReLU3d&#39;&gt;,
-  &#39;fuser_method&#39;: &lt;function fuse_conv_bn_relu at 0x7f5002117160&gt;,
+  &#39;fuser_method&#39;: &lt;function fuse_conv_bn_relu at 0x7fb9b74fc1f0&gt;,
 },
 {
-  &#39;pattern&#39;: (&lt;class &#39;torch.nn.modules.conv.Conv3d&#39;&gt;, &lt;class &#39;torch.nn.modules.batchnorm.BatchNorm3d&#39;&gt;, &lt;function relu at 0x7f5002f99ca0&gt;),
+  &#39;pattern&#39;: (&lt;class &#39;torch.nn.modules.conv.Conv3d&#39;&gt;, &lt;class &#39;torch.nn.modules.batchnorm.BatchNorm3d&#39;&gt;, &lt;function relu at 0x7fb9b837eca0&gt;),
   &#39;dtype_configs&#39;: [
     {
       &#39;input_dtype&#39;: DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=None, quant_max_upper_bound=None, scale_min_lower_bound=None, scale_max_upper_bound=None, scale_exact_match=None, zero_point_exact_match=None),
@@ -2252,7 +2252,7 @@ <h2>Default values for native configurations<a class="headerlink" href="#default
   &#39;observation_type&#39;: ObservationType.OUTPUT_USE_DIFFERENT_OBSERVER_AS_INPUT,
   &#39;root_module&#39;: &lt;class &#39;torch.nn.modules.conv.Conv3d&#39;&gt;,
   &#39;fused_module&#39;: &lt;class &#39;torch.ao.nn.intrinsic.modules.fused.ConvBnReLU3d&#39;&gt;,
-  &#39;fuser_method&#39;: &lt;function fuse_conv_bn_relu at 0x7f5002117160&gt;,
+  &#39;fuser_method&#39;: &lt;function fuse_conv_bn_relu at 0x7fb9b74fc1f0&gt;,
 },
 {
   &#39;pattern&#39;: (&lt;class &#39;torch.nn.modules.linear.Linear&#39;&gt;, &lt;class &#39;torch.nn.modules.activation.ReLU&#39;&gt;),
@@ -2280,10 +2280,10 @@ <h2>Default values for native configurations<a class="headerlink" href="#default
   ],
   &#39;observation_type&#39;: ObservationType.OUTPUT_USE_DIFFERENT_OBSERVER_AS_INPUT,
   &#39;fused_module&#39;: &lt;class &#39;torch.ao.nn.intrinsic.modules.fused.LinearReLU&#39;&gt;,
-  &#39;fuser_method&#39;: &lt;function _sequential_wrapper2.&lt;locals&gt;.fuser_method at 0x7f5000568310&gt;,
+  &#39;fuser_method&#39;: &lt;function _sequential_wrapper2.&lt;locals&gt;.fuser_method at 0x7fb9b594f3a0&gt;,
 },
 {
-  &#39;pattern&#39;: (&lt;class &#39;torch.nn.modules.linear.Linear&#39;&gt;, &lt;function relu at 0x7f5002f99ca0&gt;),
+  &#39;pattern&#39;: (&lt;class &#39;torch.nn.modules.linear.Linear&#39;&gt;, &lt;function relu at 0x7fb9b837eca0&gt;),
   &#39;dtype_configs&#39;: [
     {
       &#39;input_dtype&#39;: DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=None, quant_max_upper_bound=None, scale_min_lower_bound=None, scale_max_upper_bound=None, scale_exact_match=None, zero_point_exact_match=None),
@@ -2308,7 +2308,7 @@ <h2>Default values for native configurations<a class="headerlink" href="#default
   ],
   &#39;observation_type&#39;: ObservationType.OUTPUT_USE_DIFFERENT_OBSERVER_AS_INPUT,
   &#39;fused_module&#39;: &lt;class &#39;torch.ao.nn.intrinsic.modules.fused.LinearReLU&#39;&gt;,
-  &#39;fuser_method&#39;: &lt;function _sequential_wrapper2.&lt;locals&gt;.fuser_method at 0x7f50005683a0&gt;,
+  &#39;fuser_method&#39;: &lt;function _sequential_wrapper2.&lt;locals&gt;.fuser_method at 0x7fb9b594f430&gt;,
 },
 {
   &#39;pattern&#39;: (&lt;built-in function linear&gt;, &lt;class &#39;torch.nn.modules.activation.ReLU&#39;&gt;),
@@ -2337,7 +2337,7 @@ <h2>Default values for native configurations<a class="headerlink" href="#default
   &#39;observation_type&#39;: ObservationType.OUTPUT_USE_DIFFERENT_OBSERVER_AS_INPUT,
 },
 {
-  &#39;pattern&#39;: (&lt;built-in function linear&gt;, &lt;function relu at 0x7f5002f99ca0&gt;),
+  &#39;pattern&#39;: (&lt;built-in function linear&gt;, &lt;function relu at 0x7fb9b837eca0&gt;),
   &#39;dtype_configs&#39;: [
     {
       &#39;input_dtype&#39;: DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=None, quant_max_upper_bound=None, scale_min_lower_bound=None, scale_max_upper_bound=None, scale_exact_match=None, zero_point_exact_match=None),
@@ -2378,7 +2378,7 @@ <h2>Default values for native configurations<a class="headerlink" href="#default
   &#39;observation_type&#39;: ObservationType.OUTPUT_USE_DIFFERENT_OBSERVER_AS_INPUT,
 },
 {
-  &#39;pattern&#39;: (&lt;built-in function add&gt;, &lt;function relu at 0x7f5002f99ca0&gt;),
+  &#39;pattern&#39;: (&lt;built-in function add&gt;, &lt;function relu at 0x7fb9b837eca0&gt;),
   &#39;dtype_configs&#39;: [
     {
       &#39;input_dtype&#39;: DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=None, quant_max_upper_bound=None, scale_min_lower_bound=None, scale_max_upper_bound=None, scale_exact_match=None, zero_point_exact_match=None),
@@ -2393,7 +2393,7 @@ <h2>Default values for native configurations<a class="headerlink" href="#default
   &#39;observation_type&#39;: ObservationType.OUTPUT_USE_DIFFERENT_OBSERVER_AS_INPUT,
 },
 {
-  &#39;pattern&#39;: (&lt;built-in function add&gt;, &lt;built-in method relu of type object at 0x7f5054f74f20&gt;),
+  &#39;pattern&#39;: (&lt;built-in function add&gt;, &lt;built-in method relu of type object at 0x7fba0a35bf20&gt;),
   &#39;dtype_configs&#39;: [
     {
       &#39;input_dtype&#39;: DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=None, quant_max_upper_bound=None, scale_min_lower_bound=None, scale_max_upper_bound=None, scale_exact_match=None, zero_point_exact_match=None),
@@ -2408,7 +2408,7 @@ <h2>Default values for native configurations<a class="headerlink" href="#default
   &#39;observation_type&#39;: ObservationType.OUTPUT_USE_DIFFERENT_OBSERVER_AS_INPUT,
 },
 {
-  &#39;pattern&#39;: (&lt;built-in method add of type object at 0x7f5054f74f20&gt;, &lt;class &#39;torch.nn.modules.activation.ReLU&#39;&gt;),
+  &#39;pattern&#39;: (&lt;built-in method add of type object at 0x7fba0a35bf20&gt;, &lt;class &#39;torch.nn.modules.activation.ReLU&#39;&gt;),
   &#39;dtype_configs&#39;: [
     {
       &#39;input_dtype&#39;: DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=None, quant_max_upper_bound=None, scale_min_lower_bound=None, scale_max_upper_bound=None, scale_exact_match=None, zero_point_exact_match=None),
@@ -2423,7 +2423,7 @@ <h2>Default values for native configurations<a class="headerlink" href="#default
   &#39;observation_type&#39;: ObservationType.OUTPUT_USE_DIFFERENT_OBSERVER_AS_INPUT,
 },
 {
-  &#39;pattern&#39;: (&lt;built-in method add of type object at 0x7f5054f74f20&gt;, &lt;function relu at 0x7f5002f99ca0&gt;),
+  &#39;pattern&#39;: (&lt;built-in method add of type object at 0x7fba0a35bf20&gt;, &lt;function relu at 0x7fb9b837eca0&gt;),
   &#39;dtype_configs&#39;: [
     {
       &#39;input_dtype&#39;: DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=None, quant_max_upper_bound=None, scale_min_lower_bound=None, scale_max_upper_bound=None, scale_exact_match=None, zero_point_exact_match=None),
@@ -2438,7 +2438,7 @@ <h2>Default values for native configurations<a class="headerlink" href="#default
   &#39;observation_type&#39;: ObservationType.OUTPUT_USE_DIFFERENT_OBSERVER_AS_INPUT,
 },
 {
-  &#39;pattern&#39;: (&lt;built-in method add of type object at 0x7f5054f74f20&gt;, &lt;built-in method relu of type object at 0x7f5054f74f20&gt;),
+  &#39;pattern&#39;: (&lt;built-in method add of type object at 0x7fba0a35bf20&gt;, &lt;built-in method relu of type object at 0x7fba0a35bf20&gt;),
   &#39;dtype_configs&#39;: [
     {
       &#39;input_dtype&#39;: DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=None, quant_max_upper_bound=None, scale_min_lower_bound=None, scale_max_upper_bound=None, scale_exact_match=None, zero_point_exact_match=None),
@@ -2468,7 +2468,7 @@ <h2>Default values for native configurations<a class="headerlink" href="#default
   &#39;observation_type&#39;: ObservationType.OUTPUT_USE_DIFFERENT_OBSERVER_AS_INPUT,
 },
 {
-  &#39;pattern&#39;: (&lt;built-in function mul&gt;, &lt;function relu at 0x7f5002f99ca0&gt;),
+  &#39;pattern&#39;: (&lt;built-in function mul&gt;, &lt;function relu at 0x7fb9b837eca0&gt;),
   &#39;dtype_configs&#39;: [
     {
       &#39;input_dtype&#39;: DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=None, quant_max_upper_bound=None, scale_min_lower_bound=None, scale_max_upper_bound=None, scale_exact_match=None, zero_point_exact_match=None),
@@ -2483,7 +2483,7 @@ <h2>Default values for native configurations<a class="headerlink" href="#default
   &#39;observation_type&#39;: ObservationType.OUTPUT_USE_DIFFERENT_OBSERVER_AS_INPUT,
 },
 {
-  &#39;pattern&#39;: (&lt;built-in function mul&gt;, &lt;built-in method relu of type object at 0x7f5054f74f20&gt;),
+  &#39;pattern&#39;: (&lt;built-in function mul&gt;, &lt;built-in method relu of type object at 0x7fba0a35bf20&gt;),
   &#39;dtype_configs&#39;: [
     {
       &#39;input_dtype&#39;: DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=None, quant_max_upper_bound=None, scale_min_lower_bound=None, scale_max_upper_bound=None, scale_exact_match=None, zero_point_exact_match=None),
@@ -2498,7 +2498,7 @@ <h2>Default values for native configurations<a class="headerlink" href="#default
   &#39;observation_type&#39;: ObservationType.OUTPUT_USE_DIFFERENT_OBSERVER_AS_INPUT,
 },
 {
-  &#39;pattern&#39;: (&lt;built-in method mul of type object at 0x7f5054f74f20&gt;, &lt;class &#39;torch.nn.modules.activation.ReLU&#39;&gt;),
+  &#39;pattern&#39;: (&lt;built-in method mul of type object at 0x7fba0a35bf20&gt;, &lt;class &#39;torch.nn.modules.activation.ReLU&#39;&gt;),
   &#39;dtype_configs&#39;: [
     {
       &#39;input_dtype&#39;: DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=None, quant_max_upper_bound=None, scale_min_lower_bound=None, scale_max_upper_bound=None, scale_exact_match=None, zero_point_exact_match=None),
@@ -2513,7 +2513,7 @@ <h2>Default values for native configurations<a class="headerlink" href="#default
   &#39;observation_type&#39;: ObservationType.OUTPUT_USE_DIFFERENT_OBSERVER_AS_INPUT,
 },
 {
-  &#39;pattern&#39;: (&lt;built-in method mul of type object at 0x7f5054f74f20&gt;, &lt;function relu at 0x7f5002f99ca0&gt;),
+  &#39;pattern&#39;: (&lt;built-in method mul of type object at 0x7fba0a35bf20&gt;, &lt;function relu at 0x7fb9b837eca0&gt;),
   &#39;dtype_configs&#39;: [
     {
       &#39;input_dtype&#39;: DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=None, quant_max_upper_bound=None, scale_min_lower_bound=None, scale_max_upper_bound=None, scale_exact_match=None, zero_point_exact_match=None),
@@ -2528,7 +2528,7 @@ <h2>Default values for native configurations<a class="headerlink" href="#default
   &#39;observation_type&#39;: ObservationType.OUTPUT_USE_DIFFERENT_OBSERVER_AS_INPUT,
 },
 {
-  &#39;pattern&#39;: (&lt;built-in method mul of type object at 0x7f5054f74f20&gt;, &lt;built-in method relu of type object at 0x7f5054f74f20&gt;),
+  &#39;pattern&#39;: (&lt;built-in method mul of type object at 0x7fba0a35bf20&gt;, &lt;built-in method relu of type object at 0x7fba0a35bf20&gt;),
   &#39;dtype_configs&#39;: [
     {
       &#39;input_dtype&#39;: DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=None, quant_max_upper_bound=None, scale_min_lower_bound=None, scale_max_upper_bound=None, scale_exact_match=None, zero_point_exact_match=None),
@@ -2553,7 +2553,7 @@ <h2>Default values for native configurations<a class="headerlink" href="#default
   &#39;observation_type&#39;: ObservationType.OUTPUT_SHARE_OBSERVER_WITH_INPUT,
 },
 {
-  &#39;pattern&#39;: &lt;function relu at 0x7f5002f99ca0&gt;,
+  &#39;pattern&#39;: &lt;function relu at 0x7fb9b837eca0&gt;,
   &#39;dtype_configs&#39;: [
     {
       &#39;input_dtype&#39;: DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=None, quant_max_upper_bound=None, scale_min_lower_bound=None, scale_max_upper_bound=None, scale_exact_match=None, zero_point_exact_match=None),
@@ -2592,10 +2592,10 @@ <h2>Default values for native configurations<a class="headerlink" href="#default
   ],
   &#39;observation_type&#39;: ObservationType.OUTPUT_USE_DIFFERENT_OBSERVER_AS_INPUT,
   &#39;fused_module&#39;: &lt;class &#39;torch.ao.nn.intrinsic.modules.fused.BNReLU2d&#39;&gt;,
-  &#39;fuser_method&#39;: &lt;function _sequential_wrapper2.&lt;locals&gt;.fuser_method at 0x7f5000568430&gt;,
+  &#39;fuser_method&#39;: &lt;function _sequential_wrapper2.&lt;locals&gt;.fuser_method at 0x7fb9b594f4c0&gt;,
 },
 {
-  &#39;pattern&#39;: (&lt;class &#39;torch.nn.modules.batchnorm.BatchNorm2d&#39;&gt;, &lt;function relu at 0x7f5002f99ca0&gt;),
+  &#39;pattern&#39;: (&lt;class &#39;torch.nn.modules.batchnorm.BatchNorm2d&#39;&gt;, &lt;function relu at 0x7fb9b837eca0&gt;),
   &#39;dtype_configs&#39;: [
     {
       &#39;input_dtype&#39;: DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=None, quant_max_upper_bound=None, scale_min_lower_bound=None, scale_max_upper_bound=None, scale_exact_match=None, zero_point_exact_match=None),
@@ -2604,7 +2604,7 @@ <h2>Default values for native configurations<a class="headerlink" href="#default
   ],
   &#39;observation_type&#39;: ObservationType.OUTPUT_USE_DIFFERENT_OBSERVER_AS_INPUT,
   &#39;fused_module&#39;: &lt;class &#39;torch.ao.nn.intrinsic.modules.fused.BNReLU2d&#39;&gt;,
-  &#39;fuser_method&#39;: &lt;function _sequential_wrapper2.&lt;locals&gt;.fuser_method at 0x7f50005684c0&gt;,
+  &#39;fuser_method&#39;: &lt;function _sequential_wrapper2.&lt;locals&gt;.fuser_method at 0x7fb9b594f550&gt;,
 },
 {
   &#39;pattern&#39;: (&lt;class &#39;torch.nn.modules.batchnorm.BatchNorm3d&#39;&gt;, &lt;class &#39;torch.nn.modules.activation.ReLU&#39;&gt;),
@@ -2616,10 +2616,10 @@ <h2>Default values for native configurations<a class="headerlink" href="#default
   ],
   &#39;observation_type&#39;: ObservationType.OUTPUT_USE_DIFFERENT_OBSERVER_AS_INPUT,
   &#39;fused_module&#39;: &lt;class &#39;torch.ao.nn.intrinsic.modules.fused.BNReLU3d&#39;&gt;,
-  &#39;fuser_method&#39;: &lt;function _sequential_wrapper2.&lt;locals&gt;.fuser_method at 0x7f5000568550&gt;,
+  &#39;fuser_method&#39;: &lt;function _sequential_wrapper2.&lt;locals&gt;.fuser_method at 0x7fb9b594f5e0&gt;,
 },
 {
-  &#39;pattern&#39;: (&lt;class &#39;torch.nn.modules.batchnorm.BatchNorm3d&#39;&gt;, &lt;function relu at 0x7f5002f99ca0&gt;),
+  &#39;pattern&#39;: (&lt;class &#39;torch.nn.modules.batchnorm.BatchNorm3d&#39;&gt;, &lt;function relu at 0x7fb9b837eca0&gt;),
   &#39;dtype_configs&#39;: [
     {
       &#39;input_dtype&#39;: DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=None, quant_max_upper_bound=None, scale_min_lower_bound=None, scale_max_upper_bound=None, scale_exact_match=None, zero_point_exact_match=None),
@@ -2628,7 +2628,7 @@ <h2>Default values for native configurations<a class="headerlink" href="#default
   ],
   &#39;observation_type&#39;: ObservationType.OUTPUT_USE_DIFFERENT_OBSERVER_AS_INPUT,
   &#39;fused_module&#39;: &lt;class &#39;torch.ao.nn.intrinsic.modules.fused.BNReLU3d&#39;&gt;,
-  &#39;fuser_method&#39;: &lt;function _sequential_wrapper2.&lt;locals&gt;.fuser_method at 0x7f50005685e0&gt;,
+  &#39;fuser_method&#39;: &lt;function _sequential_wrapper2.&lt;locals&gt;.fuser_method at 0x7fb9b594f670&gt;,
 },
 {
   &#39;pattern&#39;: &lt;class &#39;torch.nn.modules.activation.ReLU6&#39;&gt;,
@@ -2641,7 +2641,7 @@ <h2>Default values for native configurations<a class="headerlink" href="#default
   &#39;observation_type&#39;: ObservationType.OUTPUT_SHARE_OBSERVER_WITH_INPUT,
 },
 {
-  &#39;pattern&#39;: &lt;function relu6 at 0x7f5002f99e50&gt;,
+  &#39;pattern&#39;: &lt;function relu6 at 0x7fb9b837ee50&gt;,
   &#39;dtype_configs&#39;: [
     {
       &#39;input_dtype&#39;: DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=None, quant_max_upper_bound=None, scale_min_lower_bound=None, scale_max_upper_bound=None, scale_exact_match=None, zero_point_exact_match=None),
@@ -2661,7 +2661,7 @@ <h2>Default values for native configurations<a class="headerlink" href="#default
   &#39;observation_type&#39;: ObservationType.OUTPUT_SHARE_OBSERVER_WITH_INPUT,
 },
 {
-  &#39;pattern&#39;: &lt;built-in method repeat_interleave of type object at 0x7f5054f74f20&gt;,
+  &#39;pattern&#39;: &lt;built-in method repeat_interleave of type object at 0x7fba0a35bf20&gt;,
   &#39;dtype_configs&#39;: [
     {
       &#39;input_dtype&#39;: DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=None, quant_max_upper_bound=None, scale_min_lower_bound=None, scale_max_upper_bound=None, scale_exact_match=None, zero_point_exact_match=None),
@@ -2743,7 +2743,7 @@ <h2>Default values for native configurations<a class="headerlink" href="#default
   &#39;observation_type&#39;: ObservationType.OUTPUT_USE_DIFFERENT_OBSERVER_AS_INPUT,
 },
 {
-  &#39;pattern&#39;: &lt;built-in method sigmoid of type object at 0x7f5054f74f20&gt;,
+  &#39;pattern&#39;: &lt;built-in method sigmoid of type object at 0x7fba0a35bf20&gt;,
   &#39;dtype_configs&#39;: [
     {
       &#39;input_dtype&#39;: DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=0, quant_max_upper_bound=255, scale_min_lower_bound=None, scale_max_upper_bound=None, scale_exact_match=0.00390625, zero_point_exact_match=0),
@@ -2793,7 +2793,7 @@ <h2>Default values for native configurations<a class="headerlink" href="#default
   &#39;observation_type&#39;: ObservationType.OUTPUT_USE_DIFFERENT_OBSERVER_AS_INPUT,
 },
 {
-  &#39;pattern&#39;: &lt;built-in method squeeze of type object at 0x7f5054f74f20&gt;,
+  &#39;pattern&#39;: &lt;built-in method squeeze of type object at 0x7fba0a35bf20&gt;,
   &#39;dtype_configs&#39;: [
     {
       &#39;input_dtype&#39;: DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=None, quant_max_upper_bound=None, scale_min_lower_bound=None, scale_max_upper_bound=None, scale_exact_match=None, zero_point_exact_match=None),
@@ -2823,7 +2823,7 @@ <h2>Default values for native configurations<a class="headerlink" href="#default
   &#39;observation_type&#39;: ObservationType.OUTPUT_SHARE_OBSERVER_WITH_INPUT,
 },
 {
-  &#39;pattern&#39;: &lt;built-in method stack of type object at 0x7f5054f74f20&gt;,
+  &#39;pattern&#39;: &lt;built-in method stack of type object at 0x7fba0a35bf20&gt;,
   &#39;dtype_configs&#39;: [
     {
       &#39;input_dtype&#39;: DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=None, quant_max_upper_bound=None, scale_min_lower_bound=None, scale_max_upper_bound=None, scale_exact_match=None, zero_point_exact_match=None),
@@ -2843,7 +2843,7 @@ <h2>Default values for native configurations<a class="headerlink" href="#default
   &#39;observation_type&#39;: ObservationType.OUTPUT_USE_DIFFERENT_OBSERVER_AS_INPUT,
 },
 {
-  &#39;pattern&#39;: &lt;built-in method tanh of type object at 0x7f5054f74f20&gt;,
+  &#39;pattern&#39;: &lt;built-in method tanh of type object at 0x7fba0a35bf20&gt;,
   &#39;dtype_configs&#39;: [
     {
       &#39;input_dtype&#39;: DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=0, quant_max_upper_bound=255, scale_min_lower_bound=None, scale_max_upper_bound=None, scale_exact_match=0.0078125, zero_point_exact_match=128),
@@ -2873,7 +2873,7 @@ <h2>Default values for native configurations<a class="headerlink" href="#default
   &#39;observation_type&#39;: ObservationType.OUTPUT_USE_DIFFERENT_OBSERVER_AS_INPUT,
 },
 {
-  &#39;pattern&#39;: &lt;built-in method transpose of type object at 0x7f5054f74f20&gt;,
+  &#39;pattern&#39;: &lt;built-in method transpose of type object at 0x7fba0a35bf20&gt;,
   &#39;dtype_configs&#39;: [
     {
       &#39;input_dtype&#39;: DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=None, quant_max_upper_bound=None, scale_min_lower_bound=None, scale_max_upper_bound=None, scale_exact_match=None, zero_point_exact_match=None),
@@ -2893,7 +2893,7 @@ <h2>Default values for native configurations<a class="headerlink" href="#default
   &#39;observation_type&#39;: ObservationType.OUTPUT_SHARE_OBSERVER_WITH_INPUT,
 },
 {
-  &#39;pattern&#39;: &lt;built-in method unsqueeze of type object at 0x7f5054f74f20&gt;,
+  &#39;pattern&#39;: &lt;built-in method unsqueeze of type object at 0x7fba0a35bf20&gt;,
   &#39;dtype_configs&#39;: [
     {
       &#39;input_dtype&#39;: DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=None, quant_max_upper_bound=None, scale_min_lower_bound=None, scale_max_upper_bound=None, scale_exact_match=None, zero_point_exact_match=None),
diff --git a/docs/2.0/searchindex.js b/docs/2.0/searchindex.js
index a908ba5e1103..e08e7df47656 100644
--- a/docs/2.0/searchindex.js
+++ b/docs/2.0/searchindex.js
@@ -1 +1 @@
-Search.setIndex({"docnames": ["_dynamo", "amp", "autograd", "backends", "benchmark_utils", "bottleneck", "checkpoint", "community/build_ci_governance", "community/contribution_guide", "community/design", "community/governance", "community/persons_of_interest", "complex_numbers", "config_mod", "cpp_extension", "cpp_index", "cuda", "cuda._sanitizer", "cudnn_persistent_rnn", "cudnn_rnn_determinism", "data", "ddp_comm_hooks", "deploy", "distributed", "distributed.algorithms.join", "distributed.checkpoint", "distributed.elastic", "distributed.optim", "distributed.tensor.parallel", "distributions", "dlpack", "dynamo/custom-backends", "dynamo/deep-dive", "dynamo/faq", "dynamo/get-started", "dynamo/guards-overview", "dynamo/index", "dynamo/installation", "dynamo/troubleshooting", "elastic/agent", "elastic/customization", "elastic/errors", "elastic/events", "elastic/examples", "elastic/kubernetes", "elastic/metrics", "elastic/multiprocessing", "elastic/quickstart", "elastic/rendezvous", "elastic/run", "elastic/timer", "elastic/train_script", "fft", "fsdp", "func", "func.api", "func.batch_norm", "func.migrating", "func.ux_limitations", "func.whirlwind_tour", "futures", "fx", "generated/onnx_diagnostics_rules/DIAGSYS0001:arg-format-too-verbose", "generated/onnx_diagnostics_rules/FXE0001:fx-tracer-success", "generated/onnx_diagnostics_rules/FXE0002:fx-tracer-failure", "generated/onnx_diagnostics_rules/FXE0003:fx-frontend-aotautograd", "generated/onnx_diagnostics_rules/FXE0004:fx-pass-convert-neg-to-sigmoid", "generated/onnx_diagnostics_rules/FXE0005:fx-ir-add-node", "generated/onnx_diagnostics_rules/FXE0006:atenlib-symbolic-function", "generated/onnx_diagnostics_rules/FXE0007:atenlib-fx-to-onnx", "generated/onnx_diagnostics_rules/FXE0008:fx-node-to-onnx", "generated/onnx_diagnostics_rules/FXE0009:fx-frontend-dynamo-make-fx", "generated/onnx_diagnostics_rules/POE0001:node-missing-onnx-shape-inference", "generated/onnx_diagnostics_rules/POE0002:missing-custom-symbolic-function", "generated/onnx_diagnostics_rules/POE0003:missing-standard-symbolic-function", "generated/onnx_diagnostics_rules/POE0004:operator-supported-in-newer-opset-version", "generated/torch.Generator", "generated/torch.Tensor.abs", "generated/torch.Tensor.abs_", "generated/torch.Tensor.absolute", "generated/torch.Tensor.absolute_", "generated/torch.Tensor.acos", "generated/torch.Tensor.acos_", "generated/torch.Tensor.acosh", "generated/torch.Tensor.acosh_", "generated/torch.Tensor.add", "generated/torch.Tensor.add_", "generated/torch.Tensor.addbmm", "generated/torch.Tensor.addbmm_", "generated/torch.Tensor.addcdiv", "generated/torch.Tensor.addcdiv_", "generated/torch.Tensor.addcmul", "generated/torch.Tensor.addcmul_", "generated/torch.Tensor.addmm", "generated/torch.Tensor.addmm_", "generated/torch.Tensor.addmv", "generated/torch.Tensor.addmv_", "generated/torch.Tensor.addr", "generated/torch.Tensor.addr_", "generated/torch.Tensor.adjoint", "generated/torch.Tensor.all", "generated/torch.Tensor.allclose", "generated/torch.Tensor.amax", "generated/torch.Tensor.amin", "generated/torch.Tensor.aminmax", "generated/torch.Tensor.angle", "generated/torch.Tensor.any", "generated/torch.Tensor.apply_", "generated/torch.Tensor.arccos", "generated/torch.Tensor.arccos_", "generated/torch.Tensor.arccosh", "generated/torch.Tensor.arccosh_", "generated/torch.Tensor.arcsin", "generated/torch.Tensor.arcsin_", "generated/torch.Tensor.arcsinh", "generated/torch.Tensor.arcsinh_", "generated/torch.Tensor.arctan", "generated/torch.Tensor.arctan2", "generated/torch.Tensor.arctan2_", "generated/torch.Tensor.arctan_", "generated/torch.Tensor.arctanh", "generated/torch.Tensor.arctanh_", "generated/torch.Tensor.argmax", "generated/torch.Tensor.argmin", "generated/torch.Tensor.argsort", "generated/torch.Tensor.argwhere", "generated/torch.Tensor.as_strided", "generated/torch.Tensor.as_subclass", "generated/torch.Tensor.asin", "generated/torch.Tensor.asin_", "generated/torch.Tensor.asinh", "generated/torch.Tensor.asinh_", "generated/torch.Tensor.atan", "generated/torch.Tensor.atan2", "generated/torch.Tensor.atan2_", "generated/torch.Tensor.atan_", "generated/torch.Tensor.atanh", "generated/torch.Tensor.atanh_", "generated/torch.Tensor.backward", "generated/torch.Tensor.baddbmm", "generated/torch.Tensor.baddbmm_", "generated/torch.Tensor.bernoulli", "generated/torch.Tensor.bernoulli_", "generated/torch.Tensor.bfloat16", "generated/torch.Tensor.bincount", "generated/torch.Tensor.bitwise_and", "generated/torch.Tensor.bitwise_and_", "generated/torch.Tensor.bitwise_left_shift", "generated/torch.Tensor.bitwise_left_shift_", "generated/torch.Tensor.bitwise_not", "generated/torch.Tensor.bitwise_not_", "generated/torch.Tensor.bitwise_or", "generated/torch.Tensor.bitwise_or_", "generated/torch.Tensor.bitwise_right_shift", "generated/torch.Tensor.bitwise_right_shift_", 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1867, 1885, 1889], "pickl": [4, 20, 21, 23, 1171, 1242, 1400, 1708, 1843, 1867, 1873], "transfer": [4, 20, 23, 1839, 1843, 1854, 1860, 1862, 1873, 1881], "properli": [4, 8, 20, 21, 25, 27, 39, 48, 53, 60, 1065, 1066, 1067, 1075, 1076, 1077, 1272, 1401, 1402, 1410, 1411, 1574, 1826, 1838, 1856, 1859, 1862, 1864, 1867, 1881, 1882, 1888], "profil": [4, 5, 33, 45, 61, 1184, 1571, 1572, 1573, 1725, 1827, 1871, 1881], "drive": [4, 10, 23, 35, 1851], "facil": [4, 1242, 1843], "analyz": [4, 5, 17, 38, 61, 1855, 1856, 1865], "manipul": [4, 60, 1175, 1827, 1850, 1858, 1862, 1874, 1879], "1000000": [4, 1630], "mirror": [4, 127], "semant": [4, 10, 16, 23, 48, 49, 53, 61, 138, 775, 855, 856, 857, 874, 888, 916, 953, 1003, 1101, 1112, 1175, 1181, 1240, 1541, 1810, 1819, 1827, 1831, 1832, 1836, 1838, 1846, 1857, 1862, 1869, 1885], "number_per_run": 4, "raw_tim": 4, "task_spec": 4, "serializ": [4, 21, 1829], "consum": [4, 20, 25, 30, 35, 50, 60, 1044, 1843, 1854, 1864, 1869, 1870, 1890], "extrapol": 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1778, 1797, 1800, 1801, 1803, 1816, 1819, 1827, 1844, 1845, 1846, 1850, 1854, 1857, 1858, 1862, 1864, 1874, 1876, 1881, 1885, 1890, 1891], "epsilon": [21, 61, 800, 801, 802, 803, 806, 846, 1225, 1228, 1318, 1319, 1320, 1335, 1355, 1363, 1364, 1365, 1372, 1409, 1439, 1479, 1533, 1582, 1615, 1631, 1632, 1633, 1634, 1635, 1637, 1643, 1644, 1680, 1830, 1886], "bucket_cap_mb": [21, 1574, 1855], "footprint": [21, 1574, 1630, 1631, 1632, 1633, 1634, 1635, 1636, 1637, 1642, 1643, 1644, 1645, 1646, 1647, 1854], "bottleneck": [21, 34, 1827, 1862], "memor": 21, "compens": 21, "apex": 21, "uncompress": [21, 1885], "p": [21, 25, 29, 53, 61, 142, 221, 273, 410, 411, 437, 474, 475, 590, 667, 670, 902, 904, 914, 922, 1038, 1191, 1202, 1208, 1209, 1217, 1218, 1260, 1262, 1265, 1275, 1293, 1312, 1338, 1339, 1340, 1341, 1343, 1344, 1345, 1366, 1368, 1369, 1405, 1409, 1411, 1448, 1449, 1463, 1482, 1483, 1484, 1485, 1488, 1489, 1490, 1518, 1519, 1529, 1533, 1536, 1537, 1563, 1578, 1584, 1586, 1592, 1601, 1621, 1646, 1697, 1754, 1828, 1830, 1831, 1850, 1851, 1854, 1859, 1864, 1875, 1885, 1886], "pq": 21, "ps": [21, 1858], "mq": [21, 1876, 1895], "qs": 21, "tp": [21, 28], "speedup": [21, 34, 35, 1406, 1447], "awai": [21, 61, 1497, 1827, 1845, 1851, 1857], "config": [21, 32, 33, 34, 35, 38, 53, 61, 773, 774, 775, 776, 840, 842, 1855, 1868, 1879], "comm": [21, 23, 1855], "handler": [21, 23, 41, 42, 1593, 1841, 1861, 1873, 1896], "batched_powersgd_hook": 21, "destroi": [21, 48, 1337, 1851, 1881], "squar": [21, 29, 533, 720, 721, 722, 723, 760, 766, 775, 946, 1031, 1033, 1168, 1202, 1204, 1206, 1207, 1208, 1211, 1212, 1216, 1218, 1220, 1222, 1224, 1228, 1230, 1231, 1233, 1234, 1238, 1251, 1260, 1306, 1310, 1314, 1315, 1329, 1330, 1332, 1333, 1348, 1349, 1361, 1369, 1391, 1394, 1395, 1398, 1431, 1443, 1464, 1473, 1476, 1492, 1493, 1497, 1506, 1508, 1528, 1551, 1566, 1581, 1631, 1633, 1634, 1635, 1637, 1643, 1644, 1647, 1707, 1766, 1800, 1813, 1830, 1871, 1885], "truncat": [21, 1089, 1806, 1846, 1849, 1858, 1865], "impli": [21, 48, 1843, 1851, 1869, 1874, 1879, 1881], "debugging_hook": 21, "noop_hook": 21, "noop": [21, 1574], "headroom": 21, "desynchron": [21, 23], "trainer": [21, 39, 41, 46, 49, 50, 1574, 1881], "restart": [21, 32, 39, 47, 49, 51, 1650, 1651, 1843, 1890], "__setstate__": 21, "__getstate__": 21, "reload": [21, 27, 1826], "os": [21, 23, 24, 38, 49, 50, 51, 61, 1242, 1574, 1708, 1826, 1843, 1851, 1854, 1855, 1868, 1873, 1874, 1881], "sy": [21, 40, 49, 51, 1826, 1854, 1873], "tempfil": 21, "simplemodel": 21, "24": [21, 23, 29, 32, 907, 1229, 1388, 1462, 1614, 1676, 1793, 1829, 1849, 1853, 1886], "fc2": [21, 1569, 1874], "master_addr": [21, 23, 39, 49, 51, 1855, 1874, 1881, 1882], "localhost": [21, 23, 48, 49, 1855, 1874, 1881, 1882], "master_port": [21, 23, 39, 49, 51, 1855, 1874, 1881, 1882], "12355": 21, "init_process_group": [21, 23, 24, 27, 39, 49, 51, 1574, 1854, 1855, 1881], "cleanup": 21, "destroy_process_group": 21, "run_demo": 21, "demo_fn": 21, "mp": [21, 23, 24, 50, 1574, 1827, 1855, 1864, 1876, 1882, 1887, 1888, 1895], "nproc": [21, 23, 46, 47, 49, 1843, 1855, 1882], "demo_seri": 21, "gettempdir": 21, "device_id": [21, 23, 24, 27, 49, 53, 1242, 1337, 1439, 1562, 1574, 1855], "powersgd_st": 21, "lr": [21, 24, 27, 53, 1569, 1574, 1630, 1631, 1632, 1633, 1634, 1635, 1636, 1637, 1643, 1644, 1645, 1646, 1647, 1648, 1649, 1650, 1651, 1652, 1653, 1654, 1655, 1656, 1657, 1658, 1659, 1660, 1661, 1662, 1854, 1855, 1862, 1872, 1882, 1890], "001": [21, 889, 890, 1180, 1629, 1633, 1634, 1643, 1647, 1659, 1855, 1869], "comm_hook": 21, "comm_hook_st": 21, "hook_stat": 21, "barrier": [21, 39, 48, 1871], "map_loc": [21, 1175, 1178, 1242, 1574, 1826, 1840, 1873], "n_gpu": 21, "device_count": [21, 23, 1827], "got": [21, 23, 872, 1856], "thank": [21, 29, 1856, 1874], "author": [21, 32, 34, 38, 48, 49, 1112, 1643, 1683, 1819, 1850], "thij": 21, "par": 21, "home": [22, 1854], "brief": [23, 1574, 1843, 1881], "introduct": [23, 29, 981, 1574, 1827, 1829, 1833, 1844, 1852, 1862, 1869, 1881, 1885, 1890], "mpi": [23, 1574], "gloo": [23, 49, 1574, 1855, 1860, 1881], "recv": [23, 1574, 1871, 1882], "broadcast": [23, 27, 29, 33, 53, 58, 85, 184, 384, 386, 387, 388, 496, 498, 500, 548, 666, 667, 668, 669, 670, 671, 672, 678, 716, 865, 902, 907, 910, 914, 915, 916, 917, 941, 960, 1038, 1039, 1044, 1049, 1089, 1090, 1091, 1092, 1113, 1115, 1127, 1137, 1195, 1196, 1203, 1216, 1220, 1225, 1226, 1228, 1231, 1239, 1259, 1264, 1265, 1275, 1289, 1292, 1301, 1304, 1335, 1354, 1406, 1479, 1541, 1574, 1629, 1665, 1673, 1696, 1698, 1774, 1793, 1798, 1822, 1827, 1828, 1832, 1844, 1845, 1846, 1855, 1869, 1871, 1886], "all_reduc": [23, 50, 1574], "all_gath": 23, "scatter": [23, 27, 53, 496, 498, 500, 1337, 1830, 1858, 1871, 1881], "reduce_scatt": [23, 1871], "all_to_al": 23, "v1": [23, 53, 1239, 1665, 1826, 1855, 1881], "init_method": [23, 1574, 1881], "adher": [23, 1832], "some_fil": 23, "machine_nam": 23, "share_folder_nam": 23, "tcpstore": [23, 48], "past": [23, 34, 61, 1005, 1022, 1574, 1858], "ask": [23, 57, 58, 1826, 1827, 1857, 1859], "infiniband": [23, 1574, 1881], "interconnect": 23, "gpudirect": 23, "ethernet": 23, "encount": [23, 31, 33, 35, 38, 58, 60, 61, 1574, 1829, 1832, 1834, 1853, 1865, 1873, 1876], "ip": [23, 48], "ib": 23, "upcom": [23, 33, 38, 53, 1850], "nccl_socket_ifnam": 23, "eth0": 23, "gloo_socket_ifnam": 23, "comma": [23, 1044, 1832], "eth1": 23, "eth2": 23, "eth3": 23, "imper": 23, "nccl_debug": 23, "info": [23, 32, 33, 38, 39, 42, 46, 873, 950, 951, 953, 1201, 1212, 1214, 1215, 1219, 1232, 1260, 1627, 1827, 1830, 1855, 1856, 1857, 1869, 1873], "nccl_debug_subsi": 23, "coll": 23, "hang": [23, 24, 27, 1574, 1855], "topolog": [23, 25, 28, 39, 61, 1869], "effort": [23, 1881], "socket": [23, 1843, 1881], "nccl_socket_nthread": 23, "nccl_nsocks_perthread": 23, "cloud": [23, 1885, 1890], "aw": [23, 40, 946], "gcp": 23, "primit": [23, 27, 48, 1242, 1828, 1829, 1831, 1833, 1853, 1863, 1869, 1881], "kind": [23, 35, 42, 61, 1190, 1575, 1628, 1675, 1740, 1826, 1836, 1856, 1864, 1869, 1873, 1876, 1886, 1888], "connect": [23, 39, 48, 1328, 1329, 1330, 1331, 1332, 1333, 1376, 1377, 1378, 1379, 1380, 1381, 1428, 1843, 1881], "advantag": [23, 48, 49, 1317, 1361, 1855, 1858, 1881, 1885], "redund": [23, 53, 1060, 1061, 1063, 1065, 1079, 1081, 1773], "averag": [23, 27, 716, 747, 748, 749, 750, 802, 803, 898, 900, 946, 1171, 1305, 1306, 1307, 1313, 1314, 1315, 1316, 1317, 1318, 1319, 1320, 1334, 1336, 1344, 1354, 1360, 1366, 1367, 1368, 1369, 1373, 1374, 1375, 1391, 1392, 1400, 1403, 1404, 1405, 1406, 1407, 1414, 1431, 1432, 1439, 1448, 1456, 1457, 1458, 1464, 1465, 1466, 1469, 1470, 1480, 1494, 1509, 1518, 1519, 1532, 1540, 1574, 1630, 1631, 1633, 1634, 1635, 1637, 1643, 1644, 1647, 1798, 1827, 1855, 1875], "elimin": [23, 34, 61, 592, 1809, 1810, 1866], "thrash": 23, "recurr": [23, 741, 742, 1186, 1323, 1337, 1352, 1353, 1370, 1415, 1584, 1610, 1644, 1827, 1854], "use_distribut": 23, "datetim": [23, 1841], "timedelta": [23, 48, 1841], "1800": 23, "group_nam": [23, 45], "pg_option": 23, "url": [23, 37, 48, 897, 1826, 1840, 1881], "discov": [23, 1881], "encod": [23, 39, 45, 48, 61, 1218, 1242, 1316, 1317, 1443, 1444, 1445, 1446, 1447, 1574, 1759, 1760, 1761, 1763, 1764, 1829, 1832, 1833, 1856, 1867, 1873, 1882, 1885], "ucc": 23, "provi": 23, "lowercas": 23, "deadlock": [23, 1574], "job": [23, 39, 41, 42, 44, 45, 47, 48, 49, 50, 1574, 1652, 1658, 1861, 1875, 1890], "exchang": [23, 48, 951, 1032, 1854, 1869], "nccl_blocking_wait": 23, "nccl_async_error_handl": [23, 1854], "throw": [23, 24, 28, 33, 34, 38, 53, 60, 61, 178, 310, 315, 527, 596, 1156, 1171, 1211, 1260, 1400, 1574, 1576, 1577, 1610, 1621, 1672, 1812, 1846, 1851, 1866, 1881, 1891], "abort": [23, 1854], "crash": [23, 41, 48, 1843, 1851, 1881, 1883, 1890], "caught": [23, 1574, 1843], "littl": [23, 35, 1856, 1883], "watch": 23, "dog": 23, "deprec": [23, 39, 48, 49, 53, 57, 392, 496, 539, 585, 766, 767, 768, 774, 807, 888, 924, 925, 996, 1000, 1117, 1171, 1225, 1228, 1260, 1261, 1316, 1317, 1334, 1336, 1359, 1360, 1366, 1367, 1391, 1392, 1400, 1403, 1404, 1405, 1407, 1414, 1431, 1432, 1448, 1453, 1454, 1469, 1470, 1480, 1509, 1532, 1540, 1566, 1567, 1568, 1570, 1574, 1615, 1616, 1621, 1676, 1692, 1773, 1777, 1800, 1827, 1829, 1834, 1843, 1852, 1875, 1879, 1887, 1891, 1892], "processgroupopt": 23, "processgroupnccl": [23, 1855], "is_high_priority_stream": 23, "is_initi": [23, 1827], "is_mpi_avail": 23, "is_nccl_avail": 23, "is_gloo_avail": 23, "is_torchelastic_launch": 23, "elast": [23, 40, 41, 42, 43, 44, 45, 46, 47, 48, 50, 51, 1827], "aka": [23, 898, 1361, 1851, 1888], "torchelast": [23, 26, 39, 40, 41, 42, 45, 47, 48, 49, 50, 51], "torchelastic_run_id": [23, 49], "proxi": [23, 25, 35, 1876], "rendezv": [23, 26, 39, 45, 47, 51, 1855, 1881], "null": [23, 40, 42, 45], "discoveri": [23, 48, 1854, 1873], "reachabl": 23, "multicast": 23, "20": [23, 27, 29, 32, 35, 308, 666, 701, 709, 710, 715, 719, 720, 721, 722, 723, 724, 727, 737, 741, 742, 743, 744, 745, 746, 753, 1124, 1169, 1172, 1182, 1193, 1227, 1289, 1312, 1314, 1315, 1317, 1318, 1319, 1320, 1321, 1323, 1327, 1328, 1329, 1330, 1332, 1333, 1338, 1339, 1340, 1341, 1345, 1348, 1349, 1352, 1353, 1355, 1362, 1363, 1364, 1365, 1368, 1369, 1370, 1371, 1372, 1387, 1393, 1394, 1395, 1397, 1398, 1400, 1415, 1417, 1428, 1436, 1439, 1442, 1443, 1444, 1445, 1472, 1474, 1475, 1477, 1481, 1492, 1493, 1499, 1555, 1581, 1582, 1606, 1615, 1618, 1636, 1651, 1679, 1788, 1829, 1830, 1846, 1855, 1856, 1865, 1872, 1881, 1885], "23456": 23, "clean": [23, 39, 61, 985, 1826, 1843, 1873], "fcntl": 23, "nf": 23, "init": [23, 39, 41, 53, 1171, 1400, 1408, 1427, 1614, 1827, 1834, 1851, 1856, 1861, 1862], "brand": 23, "succe": [23, 28, 38, 48, 58, 1854, 1856, 1868], "unexpect": [23, 30, 33, 35, 61, 947, 1095, 1097, 1100, 1171, 1400, 1616, 1629, 1768, 1829, 1851, 1856, 1865], "unsuccess": 23, "mnt": 23, "sharedfil": 23, "port": [23, 39, 47, 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"basepruningmethod": 1588, "customfrommask": 1589, "l1unstructur": 1591, "lnstructur": 1592, "pruningcontain": 1593, "randomstructur": 1594, "randomunstructur": 1595, "prune": [1596, 1597, 1598, 1599, 1600, 1601, 1602, 1603, 1604, 1862], "custom_from_mask": 1596, "global_unstructur": 1597, "is_prun": 1599, "l1_unstructur": 1600, "ln_structur": 1601, "random_structur": 1602, "random_unstructur": 1603, "remove_spectral_norm": 1605, "remove_weight_norm": 1606, "packedsequ": 1607, "pack_padded_sequ": 1608, "pack_sequ": 1609, "pad_packed_sequ": 1610, "pad_sequ": 1611, "unpack_sequ": 1612, "unpad_sequ": 1613, "skip_init": 1614, "stateless": 1616, "vector_to_paramet": 1617, "weight_norm": 1618, "no_grad": 1619, "ones": 1625, "ones_lik": 1626, "jitscalartyp": 1627, "graphinfo": 1628, "verificationopt": 1629, "asgd": 1630, "adadelta": 1631, "adagrad": 1632, "adam": 1633, "adamw": 1634, "adamax": 1635, "lbfg": 1636, "nadam": 1637, "add_param_group": 1638, "load_state_dict": 1639, "state_dict": 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\ No newline at end of file
diff --git a/docs/2.0/torch.html b/docs/2.0/torch.html
index f0f5527cf441..e04f0ff776b7 100644
--- a/docs/2.0/torch.html
+++ b/docs/2.0/torch.html
@@ -2119,15 +2119,15 @@ <h2>Operator Tags<a class="headerlink" href="#operator-tags" title="Permalink to
 <dt class="sig sig-object py" id="torch.Tag">
 <em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">torch.</span></span><span class="sig-name descname"><span class="pre">Tag</span></span><a class="headerlink" href="#torch.Tag" title="Permalink to this definition">¶</a></dt>
 <dd><p>Members:</p>
-<p>pointwise</p>
-<p>dynamic_output_shape</p>
+<p>inplace_view</p>
+<p>nondeterministic_bitwise</p>
+<p>core</p>
 <p>data_dependent_output</p>
 <p>generated</p>
-<p>view_copy</p>
-<p>core</p>
-<p>inplace_view</p>
+<p>pointwise</p>
+<p>dynamic_output_shape</p>
 <p>nondeterministic_seeded</p>
-<p>nondeterministic_bitwise</p>
+<p>view_copy</p>
 <dl class="py property">
 <dt class="sig sig-object py" id="torch.Tag.name">
 <em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">name</span></span><a class="headerlink" href="#torch.Tag.name" title="Permalink to this definition">¶</a></dt>