docs: [Automated] Regenerating documenation for c6874c3

Signed-off-by: TRTorch Github Bot <[email protected]>

Author: TRTorch Github Bot

docs/_notebooks/Resnet50-example.html

@@ -693,7 +693,7 @@
         </div>
        </div>
        <p>
-        <img alt="a8ae5e030e6848f5af796036d2f76e80" src="http://developer.download.nvidia.com/compute/machine-learning/frameworks/nvidia_logo.png"/>
+        <img alt="144d9f5c2b484f63937e6da2ba926676" src="http://developer.download.nvidia.com/compute/machine-learning/frameworks/nvidia_logo.png"/>
        </p>
        <h1 id="notebooks-resnet50-example--page-root">
         TRTorch Getting Started - ResNet 50

docs/_notebooks/lenet-getting-started.html

@@ -787,7 +787,7 @@
         </div>
        </div>
        <p>
-        <img alt="2c7d2affdb8e4a87ae75143ff13ecf74" src="http://developer.download.nvidia.com/compute/machine-learning/frameworks/nvidia_logo.png"/>
+        <img alt="40e215c8544444dba32c7ee842b4df84" src="http://developer.download.nvidia.com/compute/machine-learning/frameworks/nvidia_logo.png"/>
        </p>
        <h1 id="notebooks-lenet-getting-started--page-root">
         TRTorch Getting Started - LeNet

docs/_notebooks/ssd-object-detection-demo.html

@@ -807,7 +807,7 @@
         </div>
        </div>
        <p>
-        <img alt="9f0fb1d37105425ebbf46f3a550a70f1" src="http://developer.download.nvidia.com/compute/machine-learning/frameworks/nvidia_logo.png"/>
+        <img alt="965dc6a6673e4ac5b13efff3572f46ab" src="http://developer.download.nvidia.com/compute/machine-learning/frameworks/nvidia_logo.png"/>
        </p>
        <h1 id="notebooks-ssd-object-detection-demo--page-root">
         Object Detection with TRTorch (SSD)

docs/_sources/py_api/trtorch.rst.txt

@@ -19,6 +19,8 @@ Functions
 
 .. autofunction:: check_method_op_support
 
+.. autofunction:: embed_engine_in_new_module
+
 .. autofunction:: get_build_info
 
 .. autofunction:: dump_build_info

docs/genindex.html

@@ -501,14 +501,19 @@ <h2 id="E">
          <td style="width: 33%; vertical-align: top;">
           <ul>
            <li>
-            <a href="py_api/trtorch.html#trtorch.EngineCapability">
-             EngineCapability (class in trtorch)
+            <a href="py_api/trtorch.html#trtorch.embed_engine_in_new_module">
+             embed_engine_in_new_module() (in module trtorch)
             </a>
            </li>
           </ul>
          </td>
          <td style="width: 33%; vertical-align: top;">
           <ul>
+           <li>
+            <a href="py_api/trtorch.html#trtorch.EngineCapability">
+             EngineCapability (class in trtorch)
+            </a>
+           </li>
            <li>
             <a href="py_api/logging.html#trtorch.logging.Level.Error">
              Error (trtorch.logging.Level attribute)

docs/objects.inv

@@ -918,6 +918,89 @@ <h2 id="functions">
          </dl>
         </dd>
        </dl>
+       <dl class="py function">
+        <dt id="trtorch.embed_engine_in_new_module">
+         <code class="sig-prename descclassname">
+          trtorch.
+         </code>
+         <code class="sig-name descname">
+          embed_engine_in_new_module
+         </code>
+         <span class="sig-paren">
+          (
+         </span>
+         <em class="sig-param">
+          <span class="n">
+           serialized_engine
+          </span>
+          <span class="p">
+           :
+          </span>
+          <span class="n">
+           bytes
+          </span>
+         </em>
+         <span class="sig-paren">
+          )
+         </span>
+         → torch.jit._script.ScriptModule
+         <a class="headerlink" href="#trtorch.embed_engine_in_new_module" title="Permalink to this definition">
+          ¶
+         </a>
+        </dt>
+        <dd>
+         <p>
+          Takes a pre-built serialized TensorRT engine and embeds it within a TorchScript module
+         </p>
+         <p>
+          Takes a pre-built serialied TensorRT engine (as bytes) and embeds it within a TorchScript module.
+Registers the forward method to execute the TensorRT engine with the function signature:
+         </p>
+         <blockquote>
+          <div>
+           <p>
+            forward(Tensor[]) -&gt; Tensor[]
+           </p>
+          </div>
+         </blockquote>
+         <p>
+          Module can be save with engine embedded with torch.jit.save and moved / loaded according to TRTorch portability rules
+         </p>
+         <dl class="field-list simple">
+          <dt class="field-odd">
+           Parameters
+          </dt>
+          <dd class="field-odd">
+           <p>
+            <strong>
+             serialized_engine
+            </strong>
+            (
+            <em>
+             bytes
+            </em>
+            ) – Serialized TensorRT engine from either TRTorch or TensorRT APIs
+           </p>
+          </dd>
+          <dt class="field-even">
+           Returns
+          </dt>
+          <dd class="field-even">
+           <p>
+            New TorchScript module with engine embedded
+           </p>
+          </dd>
+          <dt class="field-odd">
+           Return type
+          </dt>
+          <dd class="field-odd">
+           <p>
+            torch.jit.ScriptModule
+           </p>
+          </dd>
+         </dl>
+        </dd>
+       </dl>
        <dl class="py function">
         <dt id="trtorch.get_build_info">
          <code class="sig-prename descclassname">
@@ -1021,7 +1104,7 @@ <h2 id="functions">
          <span class="sig-paren">
           )
          </span>
-         → &lt;torch._C.ScriptClass object at 0x7ff6a30319b0&gt;
+         → &lt;torch._C.ScriptClass object at 0x7f35105b3e70&gt;
          <a class="headerlink" href="#trtorch.TensorRTCompileSpec" title="Permalink to this definition">
           ¶
          </a>