docs: [Automated] Regenerating documenation for f0aab14

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

Author: TRTorch Github Bot

docs/_notebooks/Resnet50-example.html

@@ -714,7 +714,7 @@
         </div>
        </div>
        <p>
-        <img alt="abfc4a69939442a9ab451706eeef5198" src="http://developer.download.nvidia.com/compute/machine-learning/frameworks/nvidia_logo.png"/>
+        <img alt="e491ec15453941dba69cf71eefc4cfd2" src="http://developer.download.nvidia.com/compute/machine-learning/frameworks/nvidia_logo.png"/>
        </p>
        <section id="TRTorch-Getting-Started---ResNet-50">
         <h1 id="notebooks-resnet50-example--page-root">

docs/_notebooks/lenet-getting-started.html

@@ -808,7 +808,7 @@
         </div>
        </div>
        <p>
-        <img alt="ab9f153980cb4aabace5c24d93a2f4fc" src="http://developer.download.nvidia.com/compute/machine-learning/frameworks/nvidia_logo.png"/>
+        <img alt="a8960e7080524da9bba2dd7869ebe595" src="http://developer.download.nvidia.com/compute/machine-learning/frameworks/nvidia_logo.png"/>
        </p>
        <section id="TRTorch-Getting-Started---LeNet">
         <h1 id="notebooks-lenet-getting-started--page-root">

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

@@ -828,7 +828,7 @@
         </div>
        </div>
        <p>
-        <img alt="e7466e13cb2848c78958a124fc1bf8c2" src="http://developer.download.nvidia.com/compute/machine-learning/frameworks/nvidia_logo.png"/>
+        <img alt="79243ab1c81243769e847070faa513ae" src="http://developer.download.nvidia.com/compute/machine-learning/frameworks/nvidia_logo.png"/>
        </p>
        <section id="Object-Detection-with-TRTorch-(SSD)">
         <h1 id="notebooks-ssd-object-detection-demo--page-root">

docs/_sources/tutorials/trtorchc.rst.txt

@@ -105,7 +105,6 @@ to standard TorchScript. Load with ``torch.jit.load()`` and run like you would r
           "--" can be used to terminate flag options and force all following
           arguments to be treated as positional options
 
-
 e.g.
 
 .. code-block:: shell

docs/py_api/trtorch.html

@@ -599,9 +599,9 @@ <h2 id="functions">
         <span class="s2">"dla_core"</span><span class="p">:</span> <span class="mi">0</span><span class="p">,</span> <span class="c1"># (DLA only) Target dla core id to run engine</span>
         <span class="s2">"allow_gpu_fallback"</span><span class="p">:</span> <span class="n">false</span><span class="p">,</span> <span class="c1"># (DLA only) Allow layers unsupported on DLA to run on GPU</span>
     <span class="p">},</span>
-    <span class="s2">"enabled_precisions"</span><span class="p">:</span> <span class="p">{</span><span class="n">torch</span><span class="o">.</span><span class="n">float</span><span class="p">,</span> <span class="n">torch</span><span class="o">.</span><span class="n">half</span><span class="p">},</span> <span class="c1"># Enabling FP16 kernels</span>
     <span class="s2">"disable_tf32"</span><span class="p">:</span> <span class="kc">False</span><span class="p">,</span> <span class="c1"># Force FP32 layers to use traditional as FP32 format vs the default behavior of rounding the inputs to 10-bit mantissas before multiplying, but accumulates the sum using 23-bit mantissas</span>
     <span class="s2">"sparse_weights"</span><span class="p">:</span> <span class="n">Enable</span> <span class="n">sparsity</span> <span class="k">for</span> <span class="n">convolution</span> <span class="ow">and</span> <span class="n">fully</span> <span class="n">connected</span> <span class="n">layers</span><span class="o">.</span>
+    <span class="s2">"enabled_precisions"</span><span class="p">:</span> <span class="p">{</span><span class="n">torch</span><span class="o">.</span><span class="n">float</span><span class="p">,</span> <span class="n">torch</span><span class="o">.</span><span class="n">half</span><span class="p">},</span> <span class="c1"># Enabling FP16 kernels</span>
     <span class="s2">"refit"</span><span class="p">:</span> <span class="n">false</span><span class="p">,</span> <span class="c1"># enable refit</span>
     <span class="s2">"debug"</span><span class="p">:</span> <span class="n">false</span><span class="p">,</span> <span class="c1"># enable debuggable engine</span>
     <span class="s2">"strict_types"</span><span class="p">:</span> <span class="n">false</span><span class="p">,</span> <span class="c1"># kernels should strictly run in operating precision</span>
@@ -1132,7 +1132,7 @@ <h2 id="functions">
            <span class="sig-paren">
             )
            </span>
-           → &lt;torch._C.ScriptClass object at 0x7f2ea606fcf0&gt;
+           → &lt;torch._C.ScriptClass object at 0x7f242fd131f0&gt;
            <a class="headerlink" href="#trtorch.TensorRTCompileSpec" title="Permalink to this definition">
             ¶
            </a>