docs: [Automated] Regenerating documenation for e9ad359

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

Author: Torch-TensorRT Github Bot

docs/_cpp_api/program_listing_file_cpp_include_torch_tensorrt_macros.h.html

@@ -502,7 +502,7 @@ <h1 id="cpp-api-program-listing-file-cpp-include-torch-tensorrt-macros-h--page-r
 <span class="cp">#define STR(x) XSTR(x)</span>
 
 <span class="cp">#define TORCH_TENSORRT_MAJOR_VERSION 1</span>
-<span class="cp">#define TORCH_TENSORRT_MINOR_VERSION 1</span>
+<span class="cp">#define TORCH_TENSORRT_MINOR_VERSION 2</span>
 <span class="cp">#define TORCH_TENSORRT_PATCH_VERSION 0</span>
 <span class="cp">#define TORCH_TENSORRT_VERSION      \</span>
 <span class="cp">  STR(TORCH_TENSORRT_MAJOR_VERSION) \</span>

docs/_notebooks/CitriNet-example.html

@@ -860,7 +860,7 @@
         </div>
        </div>
        <p>
-        <img alt="eaf26ca75d6a485c8e90d5e9bf43cb50" src="http://developer.download.nvidia.com/compute/machine-learning/frameworks/nvidia_logo.png"/>
+        <img alt="49f059f8826d4aac9d0155f4965c6c49" src="http://developer.download.nvidia.com/compute/machine-learning/frameworks/nvidia_logo.png"/>
        </p>
        <section id="Torch-TensorRT-Getting-Started---CitriNet">
         <h1 id="notebooks-citrinet-example--page-root">

docs/_notebooks/EfficientNet-example.html

@@ -860,7 +860,7 @@
         </div>
        </div>
        <p>
-        <img alt="b7fc06b2feba401ab28a393bc17ee696" src="http://developer.download.nvidia.com/compute/machine-learning/frameworks/nvidia_logo.png"/>
+        <img alt="df0c18689e40413c84ae2d7b2a6425f0" src="http://developer.download.nvidia.com/compute/machine-learning/frameworks/nvidia_logo.png"/>
        </p>
        <section id="Torch-TensorRT-Getting-Started---EfficientNet-B0">
         <h1 id="notebooks-efficientnet-example--page-root">

docs/_notebooks/Hugging-Face-BERT.html

@@ -812,7 +812,7 @@
         </div>
        </div>
        <p>
-        <img alt="f621b4263cbf42a199d083909c389139" src="https://developer.download.nvidia.com/tesla/notebook_assets/nv_logo_torch_trt_resnet_notebook.png"/>
+        <img alt="f9b2423ee36549a9928294e3bc422e0a" src="https://developer.download.nvidia.com/tesla/notebook_assets/nv_logo_torch_trt_resnet_notebook.png"/>
        </p>
        <section id="Masked-Language-Modeling-(MLM)-with-Hugging-Face-BERT-Transformer">
         <h1 id="notebooks-hugging-face-bert--page-root">

docs/_notebooks/Resnet50-example.html

@@ -860,7 +860,7 @@
         </div>
        </div>
        <p>
-        <img alt="e79e044d97b64f2395e356c1adf3f3bf" src="https://developer.download.nvidia.com/tesla/notebook_assets/nv_logo_torch_trt_resnet_notebook.png"/>
+        <img alt="764dc08f714c4ec08051675f074b64f8" src="https://developer.download.nvidia.com/tesla/notebook_assets/nv_logo_torch_trt_resnet_notebook.png"/>
        </p>
        <section id="Torch-TensorRT-Getting-Started---ResNet-50">
         <h1 id="notebooks-resnet50-example--page-root">

docs/_notebooks/lenet-getting-started.html

@@ -898,7 +898,7 @@
         </div>
        </div>
        <p>
-        <img alt="20182e63656f4996a93761fe86965725" src="http://developer.download.nvidia.com/compute/machine-learning/frameworks/nvidia_logo.png"/>
+        <img alt="8458f9593d2545e081155aaf5a6aa4ae" src="http://developer.download.nvidia.com/compute/machine-learning/frameworks/nvidia_logo.png"/>
        </p>
        <section id="Torch-TensorRT-Getting-Started---LeNet">
         <h1 id="notebooks-lenet-getting-started--page-root">

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

@@ -918,7 +918,7 @@
         </div>
        </div>
        <p>
-        <img alt="24d9386dfed54bee8f6414547ab2f085" src="https://developer.download.nvidia.com/tesla/notebook_assets/nv_logo_torch_trt_ssd_notebook.png"/>
+        <img alt="e81be9037bd246d794a88b6d1a2c97c5" src="https://developer.download.nvidia.com/tesla/notebook_assets/nv_logo_torch_trt_ssd_notebook.png"/>
        </p>
        <section id="Object-Detection-with-Torch-TensorRT-(SSD)">
         <h1 id="notebooks-ssd-object-detection-demo--page-root">

docs/_notebooks/vgg-qat.html

@@ -925,7 +925,7 @@ <h2 id="Overview">
          </div>
          <p>
           ## 2. VGG16 Overview ### Very Deep Convolutional Networks for Large-Scale Image Recognition VGG is one of the earliest family of image classification networks that first used small (3x3) convolution filters and achieved significant improvements on ImageNet recognition challenge. The network architecture looks as follows
-          <img alt="6d5eb809fc7e4c6d89c55b9a01f89a2e" src="https://neurohive.io/wp-content/uploads/2018/11/vgg16-1-e1542731207177.png"/>
+          <img alt="d3255e5f39024c79b3a03bb2ed94469b" src="https://neurohive.io/wp-content/uploads/2018/11/vgg16-1-e1542731207177.png"/>
          </p>
          <p>
           ## 3. Training a baseline VGG16 model We train VGG16 on CIFAR10 dataset. Define training and testing datasets and dataloaders. This will download the CIFAR 10 data in your

docs/_sources/_cpp_api/program_listing_file_cpp_include_torch_tensorrt_macros.h.rst.txt

@@ -32,7 +32,7 @@ Program Listing for File macros.h
    #define STR(x) XSTR(x)
    
    #define TORCH_TENSORRT_MAJOR_VERSION 1
-   #define TORCH_TENSORRT_MINOR_VERSION 1
+   #define TORCH_TENSORRT_MINOR_VERSION 2
    #define TORCH_TENSORRT_PATCH_VERSION 0
    #define TORCH_TENSORRT_VERSION      \
      STR(TORCH_TENSORRT_MAJOR_VERSION) \

docs/py_api/ts.html

@@ -2087,7 +2087,7 @@ <h2 id="functions">
               at
              </span>
              <span class="pre">
-              0x7f5d45f4bef0&gt;
+              0x7f8d932d9870&gt;
              </span>
             </span>
            </span>