docs: [Automated] Regenerating documenation for b21ac90

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

Author: Torch-TensorRT Github Bot

docs/_cpp_api/program_listing_file_cpp_include_torch_tensorrt_torch_tensorrt.h.html

@@ -699,8 +699,6 @@ <h1 id="cpp-api-program-listing-file-cpp-include-torch-tensorrt-torch-tensorrt-h
 
 <span class="w">  </span><span class="kt">bool</span><span class="w"> </span><span class="n">truncate_long_and_double</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="nb">false</span><span class="p">;</span><span class="w"></span>
 
-<span class="w">  </span><span class="kt">bool</span><span class="w"> </span><span class="n">strict_types</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="nb">false</span><span class="p">;</span><span class="w"></span>
-
 <span class="w">  </span><span class="n">Device</span><span class="w"> </span><span class="n">device</span><span class="p">;</span><span class="w"></span>
 
 <span class="w">  </span><span class="n">EngineCapability</span><span class="w"> </span><span class="n">capability</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">EngineCapability</span><span class="o">::</span><span class="n">kSTANDARD</span><span class="p">;</span><span class="w"></span>
@@ -710,8 +708,6 @@ <h1 id="cpp-api-program-listing-file-cpp-include-torch-tensorrt-torch-tensorrt-h
 
 <span class="w">  </span><span class="kt">uint64_t</span><span class="w"> </span><span class="n">workspace_size</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mi">0</span><span class="p">;</span><span class="w"></span>
 
-<span class="w">  </span><span class="kt">uint64_t</span><span class="w"> </span><span class="n">max_batch_size</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mi">0</span><span class="p">;</span><span class="w"></span>
-
 <span class="w">  </span><span class="n">nvinfer1</span><span class="o">::</span><span class="n">IInt8Calibrator</span><span class="o">*</span><span class="w"> </span><span class="n">ptq_calibrator</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="k">nullptr</span><span class="p">;</span><span class="w"></span>
 
 <span class="w">  </span><span class="kt">bool</span><span class="w"> </span><span class="n">require_full_compilation</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="nb">false</span><span class="p">;</span><span class="w"></span>

docs/_cpp_api/structtorch__tensorrt_1_1torchscript_1_1CompileSpec.html

@@ -1219,49 +1219,6 @@ <h2 id="struct-documentation">
               </p>
              </dd>
             </dl>
-            <dl class="cpp var">
-             <dt class="sig sig-object cpp" id="_CPPv4N14torch_tensorrt11torchscript11CompileSpec12strict_typesE">
-              <span class="target" id="structtorch__tensorrt_1_1torchscript_1_1CompileSpec_1a62e69682894161ec6202fbf2f9ea7cea">
-              </span>
-              <span class="kt">
-               <span class="pre">
-                bool
-               </span>
-              </span>
-              <span class="w">
-              </span>
-              <span class="sig-name descname">
-               <span class="n">
-                <span class="pre">
-                 strict_types
-                </span>
-               </span>
-              </span>
-              <span class="w">
-              </span>
-              <span class="p">
-               <span class="pre">
-                =
-               </span>
-              </span>
-              <span class="w">
-              </span>
-              <span class="k">
-               <span class="pre">
-                false
-               </span>
-              </span>
-              <a class="headerlink" href="#_CPPv4N14torch_tensorrt11torchscript11CompileSpec12strict_typesE" title="Permalink to this definition">
-               ¶
-              </a>
-              <br/>
-             </dt>
-             <dd>
-              <p>
-               Restrict operating type to only the lowest enabled operation precision (enabled_precisions)
-              </p>
-             </dd>
-            </dl>
             <dl class="cpp var">
              <dt class="sig sig-object cpp" id="_CPPv4N14torch_tensorrt11torchscript11CompileSpec6deviceE">
               <span class="target" id="structtorch__tensorrt_1_1torchscript_1_1CompileSpec_1a7eec2ecd57b3debd73239a7d0d552ffd">
@@ -1486,49 +1443,6 @@ <h2 id="struct-documentation">
               </p>
              </dd>
             </dl>
-            <dl class="cpp var">
-             <dt class="sig sig-object cpp" id="_CPPv4N14torch_tensorrt11torchscript11CompileSpec14max_batch_sizeE">
-              <span class="target" id="structtorch__tensorrt_1_1torchscript_1_1CompileSpec_1a520a0686d3cfb036525d4e46c85e1a5d">
-              </span>
-              <span class="n">
-               <span class="pre">
-                uint64_t
-               </span>
-              </span>
-              <span class="w">
-              </span>
-              <span class="sig-name descname">
-               <span class="n">
-                <span class="pre">
-                 max_batch_size
-                </span>
-               </span>
-              </span>
-              <span class="w">
-              </span>
-              <span class="p">
-               <span class="pre">
-                =
-               </span>
-              </span>
-              <span class="w">
-              </span>
-              <span class="m">
-               <span class="pre">
-                0
-               </span>
-              </span>
-              <a class="headerlink" href="#_CPPv4N14torch_tensorrt11torchscript11CompileSpec14max_batch_sizeE" title="Permalink to this definition">
-               ¶
-              </a>
-              <br/>
-             </dt>
-             <dd>
-              <p>
-               Maximum batch size (must be &gt;= 1 to be set, 0 means not set)
-              </p>
-             </dd>
-            </dl>
             <dl class="cpp var">
              <dt class="sig sig-object cpp" id="_CPPv4N14torch_tensorrt11torchscript11CompileSpec14ptq_calibratorE">
               <span class="target" id="structtorch__tensorrt_1_1torchscript_1_1CompileSpec_1a4d4a1651c2a1516d96374dedd566f96b">

docs/_notebooks/EfficientNet-example.html

@@ -870,7 +870,7 @@
         </div>
        </div>
        <p>
-        <img alt="312fd79789ce4d7e97ebbe77c875ed0d" src="http://developer.download.nvidia.com/compute/machine-learning/frameworks/nvidia_logo.png"/>
+        <img alt="dfba0f28efcf4af9818bc0f23e89a56f" 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/Resnet50-example.html

@@ -870,7 +870,7 @@
         </div>
        </div>
        <p>
-        <img alt="b215cfbfcbfa4cb7a1b173c07d21627e" src="http://developer.download.nvidia.com/compute/machine-learning/frameworks/nvidia_logo.png"/>
+        <img alt="11b9d2038d87488fb963e9579cc4768b" src="http://developer.download.nvidia.com/compute/machine-learning/frameworks/nvidia_logo.png"/>
        </p>
        <section id="Torch-TensorRT-Getting-Started---ResNet-50">
         <h1 id="notebooks-resnet50-example--page-root">

docs/_notebooks/lenet-getting-started.html

@@ -880,7 +880,7 @@
         </div>
        </div>
        <p>
-        <img alt="d61e7e5fef704395be9434c214071797" src="http://developer.download.nvidia.com/compute/machine-learning/frameworks/nvidia_logo.png"/>
+        <img alt="f44e852a36cb4e91a72bc23aa15ba336" 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

@@ -900,7 +900,7 @@
         </div>
        </div>
        <p>
-        <img alt="688a92b4e6cf476597e076ffa278aa56" src="http://developer.download.nvidia.com/compute/machine-learning/frameworks/nvidia_logo.png"/>
+        <img alt="a5028a2a79114f16bbffa92458f6372c" src="http://developer.download.nvidia.com/compute/machine-learning/frameworks/nvidia_logo.png"/>
        </p>
        <section id="Object-Detection-with-Torch-TensorRT-(SSD)">
         <h1 id="notebooks-ssd-object-detection-demo--page-root">

docs/_notebooks/vgg-qat.html

@@ -907,7 +907,7 @@ <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="c7f9f01c22d54a8fba3079eac14a564f" src="https://neurohive.io/wp-content/uploads/2018/11/vgg16-1-e1542731207177.png"/>
+          <img alt="5b0b4b669fc14df38f7825a1505065ad" 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_torch_tensorrt.h.rst.txt

@@ -247,8 +247,6 @@ Program Listing for File torch_tensorrt.h
    
      bool truncate_long_and_double = false;
    
-     bool strict_types = false;
-   
      Device device;
    
      EngineCapability capability = EngineCapability::kSTANDARD;
@@ -258,8 +256,6 @@ Program Listing for File torch_tensorrt.h
    
      uint64_t workspace_size = 0;
    
-     uint64_t max_batch_size = 0;
-   
      nvinfer1::IInt8Calibrator* ptq_calibrator = nullptr;
    
      bool require_full_compilation = false;

docs/_sources/tutorials/ptq.rst.txt

@@ -194,7 +194,6 @@ to use ``CacheCalibrator`` to use in INT8 mode.
         "inputs": [torch_tensorrt.Input([1, 3, 32, 32])],
         "enabled_precisions": {torch.float, torch.half, torch.int8},
         "calibrator": calibrator,
-        "max_batch_size": 32,
     }
 
   trt_mod = torch_tensorrt.compile(model, compile_settings)

docs/_sources/tutorials/torchtrtc.rst.txt

@@ -34,8 +34,6 @@ to standard TorchScript. Load with ``torch.jit.load()`` and run like you would r
           --i, --info                       Dumps info messages generated during
                                             compilation onto the console
         --build-debuggable-engine         Creates a debuggable engine
-        --use-strict-types                Restrict operating type to only use set
-                                          operation precision
         --allow-gpu-fallback              (Only used when targeting DLA
                                           (device-type)) Lets engine run layers on
                                           GPU if they are not supported on DLA
@@ -93,8 +91,6 @@ to standard TorchScript. Load with ``torch.jit.load()`` and run like you would r
                                           used to select kernels
         --workspace-size=[workspace_size] Maximum size of workspace given to
                                           TensorRT
-        --max-batch-size=[max_batch_size] Maximum batch size (must be >= 1 to be
-                                          set, 0 means not set)
         -t[threshold],
         --threshold=[threshold]           Maximum acceptable numerical deviation
                                           from standard torchscript output