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docs: [Automated] Regenerating documenation for 7ea8c75
Signed-off-by: TRTorch Github Bot <[email protected]>
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‎docs/_cpp_api/program_listing_file_cpp_api_include_trtorch_trtorch.h.html

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<span class="n">std</span><span class="o">::</span><span class="n">vector</span><span class="o">&lt;</span><span class="n">std</span><span class="o">::</span><span class="n">string</span><span class="o">&gt;</span> <span class="n">forced_fallback_ops</span><span class="p">;</span>
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<span class="n">std</span><span class="o">::</span><span class="n">vector</span><span class="o">&lt;</span><span class="n">std</span><span class="o">::</span><span class="n">string</span><span class="o">&gt;</span> <span class="n">forced_fallback_modules</span><span class="p">;</span>
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<span class="n">TorchFallback</span><span class="p">()</span> <span class="o">=</span> <span class="k">default</span><span class="p">;</span>
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<span class="n">TorchFallback</span><span class="p">(</span><span class="kt">bool</span> <span class="n">enabled</span><span class="p">)</span> <span class="o">:</span> <span class="n">enabled</span><span class="p">(</span><span class="n">enabled</span><span class="p">)</span> <span class="p">{}</span>

‎docs/_cpp_api/structtrtorch_1_1CompileSpec.html

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</p>
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</dd>
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</dl>
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<dl class="cpp var">
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<dt id="_CPPv4N7trtorch11CompileSpec13TorchFallback23forced_fallback_modulesE">
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<span class="target" id="structtrtorch_1_1CompileSpec_1_1TorchFallback_1a8a0d2117027e02dc48aa7c7e34a1160e">
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</span>
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std::vector&lt;std::string&gt;
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<code class="sig-name descname">
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forced_fallback_modules
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</code>
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<a class="headerlink" href="#_CPPv4N7trtorch11CompileSpec13TorchFallback23forced_fallback_modulesE" title="Permalink to this definition">
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</a>
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<br/>
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</dt>
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<dd>
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<p>
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A list of names of modules that will explicitly run in PyTorch.
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</p>
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</dd>
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</dl>
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‎docs/_cpp_api/structtrtorch_1_1CompileSpec_1_1TorchFallback.html

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<dl class="cpp var">
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<dt id="_CPPv4N7trtorch11CompileSpec13TorchFallback23forced_fallback_modulesE">
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<span class="target" id="structtrtorch_1_1CompileSpec_1_1TorchFallback_1a8a0d2117027e02dc48aa7c7e34a1160e">
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std::vector&lt;std::string&gt;
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<code class="sig-name descname">
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forced_fallback_modules
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</code>
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<br/>
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</dt>
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<dd>
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<p>
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A list of names of modules that will explicitly run in PyTorch.
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</p>
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</dd>
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</dl>
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‎docs/_notebooks/Resnet50-example.html

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<img alt="b84a9326a34f49828a26440267c8a8f2" src="http://developer.download.nvidia.com/compute/machine-learning/frameworks/nvidia_logo.png"/>
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<img alt="fc3939487f0b4f3b91608b3bf1251438" src="http://developer.download.nvidia.com/compute/machine-learning/frameworks/nvidia_logo.png"/>
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</p>
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<section id="TRTorch-Getting-Started---ResNet-50">
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<h1 id="notebooks-resnet50-example--page-root">

‎docs/_notebooks/lenet-getting-started.html

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<img alt="4256e9db3c31487ca807f9f7eb3e334b" src="http://developer.download.nvidia.com/compute/machine-learning/frameworks/nvidia_logo.png"/>
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<img alt="c0283a7dc17b43f4a6835eab5be9fcca" src="http://developer.download.nvidia.com/compute/machine-learning/frameworks/nvidia_logo.png"/>
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<section id="TRTorch-Getting-Started---LeNet">
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‎docs/_notebooks/ssd-object-detection-demo.html

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<img alt="490068c721f548a99e2e5754c6ec87ed" src="http://developer.download.nvidia.com/compute/machine-learning/frameworks/nvidia_logo.png"/>
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<img alt="595bc25f8f8c41568c59cfcd61e7bcd9" src="http://developer.download.nvidia.com/compute/machine-learning/frameworks/nvidia_logo.png"/>
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<section id="Object-Detection-with-TRTorch-(SSD)">
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<h1 id="notebooks-ssd-object-detection-demo--page-root">

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

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std::vector<std::string> forced_fallback_ops;
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std::vector<std::string> forced_fallback_modules;
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TorchFallback() = default;
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TorchFallback(bool enabled) : enabled(enabled) {}

‎docs/_sources/tutorials/installation.rst.txt

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NVIDIA hosts builds the latest release branch for Jetson here:
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https://forums.developer.nvidia.com/t/pytorch-for-jetson-nano-version-1-5-0-now-available/72048
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https://forums.developer.nvidia.com/t/pytorch-for-jetson-version-1-9-0-now-available/72048
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Enviorment Setup
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NOTE: You may also need to configure the CUDA version to 10.2 by setting the path for the cuda new_local_repository
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2. Disable Python API testing dependencies:
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#)
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2. Configure the correct paths to directory roots containing local dependencies in the ``new_local_repository`` rules:
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NOTE: If you installed PyTorch using a pip package, the correct path is the path to the root of the python torch package.
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In the case that you installed with ``sudo pip install`` this will be ``/usr/local/lib/python3.6/dist-packages/torch``.
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Compile C++ Library and Compiler CLI
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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NOTE: Due to shifting dependency locations between Jetpack 4.5 and 4.6 there is a now a flag to inform bazel of the Jetpack version
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.. code-block:: shell
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--platforms //toolchains:jetpack_4.x
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bazel build //:libtrtorch
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bazel build //:libtrtorch --platforms //toolchains:jetpack_4.6
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NOTE: Due to shifting dependencies locations between Jetpack 4.5 and Jetpack 4.6 there is now a flag for ``setup.py`` which sets the jetpack version (default: 4.6)
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If you have a build of PyTorch that uses Pre-CXX11 ABI drop the ``--use-cxx11-abi`` flag
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If you have a build of PyTorch that uses Pre-CXX11 ABI drop the ``--use-cxx11-abi`` flag
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If you are building for Jetpack 4.5 add the ``--jetpack-version 4.5`` flag

‎docs/genindex.html

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<a href="_cpp_api/structtrtorch_1_1CompileSpec.html#_CPPv4N7trtorch11CompileSpec12op_precisionE">
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<a href="_cpp_api/structtrtorch_1_1CompileSpec.html#_CPPv4N7trtorch11CompileSpec13TorchFallback23forced_fallback_modulesE">
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trtorch::CompileSpec::TorchFallback::forced_fallback_modules (C++ member)
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,
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<a href="_cpp_api/structtrtorch_1_1CompileSpec_1_1TorchFallback.html#_CPPv4N7trtorch11CompileSpec13TorchFallback23forced_fallback_modulesE">
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[1]
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<a href="_cpp_api/structtrtorch_1_1CompileSpec.html#_CPPv4N7trtorch11CompileSpec13TorchFallback19forced_fallback_opsE">
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‎docs/objects.inv

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