docs: [Automated] Regenerating documenation from

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

docs/_notebooks/Resnet50-example.html

@@ -690,7 +690,7 @@
         </div>
        </div>
        <p>
-        <img alt="6ed4117dedf9498d9bc657dfee176602" src="http://developer.download.nvidia.com/compute/machine-learning/frameworks/nvidia_logo.png"/>
+        <img alt="9e73e106c862489bbf02ca5243dc8c4f" 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

@@ -784,7 +784,7 @@
         </div>
        </div>
        <p>
-        <img alt="e3c8f7019b3047db9950027b9473c883" src="http://developer.download.nvidia.com/compute/machine-learning/frameworks/nvidia_logo.png"/>
+        <img alt="4dae196edb5d4a4e804a9fb300f3a5da" 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

@@ -804,7 +804,7 @@
         </div>
        </div>
        <p>
-        <img alt="514c0b21df474a54b0761af634848e37" src="http://developer.download.nvidia.com/compute/machine-learning/frameworks/nvidia_logo.png"/>
+        <img alt="e0dbdf2ebf504883a078c320b37f6ee8" 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/indices/supported_ops.rst.txt

@@ -35,6 +35,7 @@ Operators Currently Supported Through Converters
 - aten::div.Tensor(Tensor self, Tensor other) -> (Tensor)
 - aten::div_.Scalar(Tensor(a!) self, Scalar other) -> (Tensor(a!))
 - aten::div_.Tensor(Tensor(a!) self, Tensor other) -> (Tensor(a!))
+- aten::elu(Tensor self, Scalar alpha=1, Scalar scale=1, Scalar input_scale=1) -> (Tensor)
 - aten::embedding(Tensor weight, Tensor indices, int padding_idx=-1, bool scale_grad_by_freq=False, bool sparse=False) -> (Tensor)
 - aten::eq.Scalar(Tensor self, Scalar other) -> (Tensor)
 - aten::eq.Tensor(Tensor self, Tensor other) -> (Tensor)
@@ -71,6 +72,7 @@ Operators Currently Supported Through Converters
 - aten::mean.dim(Tensor self, int[] dim, bool keepdim=False, *, int? dtype=None) -> (Tensor)
 - aten::min(Tensor self) -> (Tensor)
 - aten::min.other(Tensor self, Tensor other) -> (Tensor)
+- aten::mul.Scalar(Tensor self, Scalar other) -> (Tensor)
 - aten::mul.Tensor(Tensor self, Tensor other) -> (Tensor)
 - aten::mul_.Tensor(Tensor(a!) self, Tensor other) -> (Tensor(a!))
 - aten::narrow(Tensor(a) self, int dim, int start, int length) -> (Tensor(a))
@@ -112,6 +114,7 @@ Operators Currently Supported Through Converters
 - aten::tanh(Tensor input) -> (Tensor)
 - aten::tanh_(Tensor(a!) self) -> (Tensor(a!))
 - aten::topk(Tensor self, int k, int dim=-1, bool largest=True, bool sorted=True) -> (Tensor values, Tensor indices)
+- aten::transpose.int(Tensor(a) self, int dim0, int dim1) -> (Tensor(a))
 - aten::unsqueeze(Tensor(a) self, int dim) -> (Tensor(a))
 - aten::upsample_bilinear2d(Tensor self, int[2] output_size, bool align_corners, float? scales_h=None, float? scales_w=None) -> (Tensor)
 - aten::upsample_bilinear2d.vec(Tensor input, int[]? output_size, bool align_corners, float[]? scale_factors) -> (Tensor)

docs/indices/supported_ops.html

@@ -587,6 +587,11 @@ <h2 id="operators-currently-supported-through-converters">
           .Tensor(Tensor(a!) self, Tensor other) -&gt; (Tensor(a!))
          </p>
         </li>
+        <li>
+         <p>
+          aten::elu(Tensor self, Scalar alpha=1, Scalar scale=1, Scalar input_scale=1) -&gt; (Tensor)
+         </p>
+        </li>
         <li>
          <p>
           aten::embedding(Tensor weight, Tensor indices, int padding_idx=-1, bool scale_grad_by_freq=False, bool sparse=False) -&gt; (Tensor)
@@ -785,6 +790,11 @@ <h2 id="operators-currently-supported-through-converters">
           aten::min.other(Tensor self, Tensor other) -&gt; (Tensor)
          </p>
         </li>
+        <li>
+         <p>
+          aten::mul.Scalar(Tensor self, Scalar other) -&gt; (Tensor)
+         </p>
+        </li>
         <li>
          <p>
           aten::mul.Tensor(Tensor self, Tensor other) -&gt; (Tensor)
@@ -1032,6 +1042,11 @@ <h2 id="operators-currently-supported-through-converters">
           aten::topk(Tensor self, int k, int dim=-1, bool largest=True, bool sorted=True) -&gt; (Tensor values, Tensor indices)
          </p>
         </li>
+        <li>
+         <p>
+          aten::transpose.int(Tensor(a) self, int dim0, int dim1) -&gt; (Tensor(a))
+         </p>
+        </li>
         <li>
          <p>
           aten::unsqueeze(Tensor(a) self, int dim) -&gt; (Tensor(a))

docs/py_api/trtorch.html

@@ -1011,7 +1011,7 @@ <h2 id="functions">
          <span class="sig-paren">
           )
          </span>
-         → &lt;torch._C.ScriptClass object at 0x7f26096002d0&gt;
+         → &lt;torch._C.ScriptClass object at 0x7f51bb3cd2d0&gt;
          <a class="headerlink" href="#trtorch.TensorRTCompileSpec" title="Permalink to this definition">
           ¶
          </a>