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<p class="caption" role="heading"><span class="caption-text">Getting Started</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="getting_started/installation.html">Installation</a></li>
<li class="toctree-l1"><a class="reference internal" href="getting_started/getting_started_with_python_api.html">Using Torch-TensorRT in Python</a></li>
<li class="toctree-l1"><a class="reference internal" href="getting_started/getting_started_with_cpp_api.html">Using Torch-TensorRT in C++</a></li>
<li class="toctree-l1"><a class="reference internal" href="getting_started/getting_started_with_windows.html">Building Torch-TensorRT on Windows</a></li>
<li class="toctree-l1"><a class="reference internal" href="getting_started/getting_started_with_windows.html#building-with-visual-studio-code">Building With Visual Studio Code</a></li>
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<ul>
<li class="toctree-l1"><a class="reference internal" href="tutorials/creating_torchscript_module_in_python.html">Creating a TorchScript Module</a></li>
<li class="toctree-l1"><a class="reference internal" href="tutorials/creating_torchscript_module_in_python.html#working-with-torchscript-in-python">Working with TorchScript in Python</a></li>
<li class="toctree-l1"><a class="reference internal" href="tutorials/creating_torchscript_module_in_python.html#saving-torchscript-module-to-disk">Saving TorchScript Module to Disk</a></li>
<li class="toctree-l1"><a class="reference internal" href="tutorials/getting_started_with_fx_path.html">Torch-TensorRT (FX Frontend) User Guide</a></li>
<li class="toctree-l1"><a class="reference internal" href="tutorials/ptq.html">Post Training Quantization (PTQ)</a></li>
<li class="toctree-l1"><a class="reference internal" href="tutorials/runtime.html">Deploying Torch-TensorRT Programs</a></li>
<li class="toctree-l1"><a class="reference internal" href="tutorials/serving_torch_tensorrt_with_triton.html">Serving a Torch-TensorRT model with Triton</a></li>
<li class="toctree-l1"><a class="reference internal" href="tutorials/use_from_pytorch.html">Using Torch-TensorRT Directly From PyTorch</a></li>
<li class="toctree-l1"><a class="reference internal" href="tutorials/using_dla.html">DLA</a></li>
<li class="toctree-l1"><a class="reference internal" href="tutorials/notebooks.html">Example notebooks</a></li>
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<p class="caption" role="heading"><span class="caption-text">Python API Documenation</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="py_api/torch_tensorrt.html">torch_tensorrt</a></li>
<li class="toctree-l1"><a class="reference internal" href="py_api/logging.html">torch_tensorrt.logging</a></li>
<li class="toctree-l1"><a class="reference internal" href="py_api/ptq.html">torch_tensorrt.ptq</a></li>
<li class="toctree-l1"><a class="reference internal" href="py_api/ts.html">torch_tensorrt.ts</a></li>
<li class="toctree-l1"><a class="reference internal" href="py_api/fx.html">torch_tensorrt.fx</a></li>
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<ul>
<li class="toctree-l1"><a class="reference internal" href="_cpp_api/torch_tensort_cpp.html">Torch-TensorRT C++ API</a></li>
<li class="toctree-l1"><a class="reference internal" href="_cpp_api/namespace_torch_tensorrt.html">Namespace torch_tensorrt</a></li>
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<li class="toctree-l1"><a class="reference internal" href="contributors/writing_converters.html">Writing Converters</a></li>
<li class="toctree-l1"><a class="reference internal" href="contributors/useful_links.html">Useful Links for Torch-TensorRT Development</a></li>
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<p class="caption" role="heading"><span class="caption-text">Indices</span></p>
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<li class="toctree-l1"><a class="reference internal" href="indices/supported_ops.html">Operators Supported</a></li>
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<section id="torch-tensorrt">
<h1>Torch-TensorRT<a class="headerlink" href="#torch-tensorrt" title="Permalink to this headline">¶</a></h1>
<section id="ahead-of-time-compilation-of-torchscript-pytorch-jit-for-nvidia-gpus">
<h2>Ahead-of-time compilation of TorchScript / PyTorch JIT for NVIDIA GPUs<a class="headerlink" href="#ahead-of-time-compilation-of-torchscript-pytorch-jit-for-nvidia-gpus" title="Permalink to this headline">¶</a></h2>
<p>Torch-TensorRT is a compiler for PyTorch/TorchScript, targeting NVIDIA GPUs via NVIDIA’s TensorRT Deep Learning Optimizer and Runtime.
Unlike PyTorch’s Just-In-Time (JIT) compiler, Torch-TensorRT is an Ahead-of-Time (AOT) compiler, meaning that before you deploy your
TorchScript code, you go through an explicit compile step to convert a standard TorchScript program into an module targeting
a TensorRT engine. Torch-TensorRT operates as a PyTorch extention and compiles modules that integrate into the JIT runtime seamlessly.
After compilation using the optimized graph should feel no different than running a TorchScript module.
You also have access to TensorRT’s suite of configurations at compile time, so you are able to specify
operating precision (FP32/FP16/INT8) and other settings for your module.</p>
<p>More Information / System Architecture:</p>
<ul class="simple">
<li><p><a class="reference external" href="https://developer.nvidia.com/gtc/2020/video/s21671">GTC 2020 Talk</a></p></li>
</ul>
</section>
<section id="getting-started">
<h2>Getting Started<a class="headerlink" href="#getting-started" title="Permalink to this headline">¶</a></h2>
<ul class="simple">
<li><p><a class="reference internal" href="getting_started/installation.html#installation"><span class="std std-ref">Installation</span></a></p></li>
<li><p><a class="reference internal" href="getting_started/getting_started_with_python_api.html#getting-started-with-python-api"><span class="std std-ref">Using Torch-TensorRT in Python</span></a></p></li>
<li><p><a class="reference internal" href="getting_started/getting_started_with_cpp_api.html#getting-started-cpp"><span class="std std-ref">Using Torch-TensorRT in C++</span></a></p></li>
</ul>
<div class="toctree-wrapper compound">
</div>
</section>
<section id="tutorials">
<h2>Tutorials<a class="headerlink" href="#tutorials" title="Permalink to this headline">¶</a></h2>
<ul class="simple">
<li><p><a class="reference internal" href="tutorials/creating_torchscript_module_in_python.html#creating-a-ts-mod"><span class="std std-ref">Creating a TorchScript Module</span></a></p></li>
<li><p><a class="reference internal" href="tutorials/getting_started_with_fx_path.html#getting-started-with-fx"><span class="std std-ref">Torch-TensorRT (FX Frontend) User Guide</span></a></p></li>
<li><p><a class="reference internal" href="tutorials/ptq.html#ptq"><span class="std std-ref">Post Training Quantization (PTQ)</span></a></p></li>
<li><p><a class="reference internal" href="tutorials/runtime.html#runtime"><span class="std std-ref">Deploying Torch-TensorRT Programs</span></a></p></li>
<li><p><a class="reference internal" href="tutorials/serving_torch_tensorrt_with_triton.html#serving-torch-tensorrt-with-triton"><span class="std std-ref">Serving a Torch-TensorRT model with Triton</span></a></p></li>
<li><p><a class="reference internal" href="tutorials/use_from_pytorch.html#use-from-pytorch"><span class="std std-ref">Using Torch-TensorRT Directly From PyTorch</span></a></p></li>
<li><p><a class="reference internal" href="tutorials/using_dla.html#using-dla"><span class="std std-ref">DLA</span></a></p></li>
<li><p><a class="reference internal" href="tutorials/notebooks.html#notebooks"><span class="std std-ref">Example notebooks</span></a></p></li>
</ul>
<div class="toctree-wrapper compound">
</div>
</section>
<section id="python-api-documenation">
<h2>Python API Documenation<a class="headerlink" href="#python-api-documenation" title="Permalink to this headline">¶</a></h2>
<ul class="simple">
<li><p><a class="reference internal" href="py_api/torch_tensorrt.html#torch-tensorrt-py"><span class="std std-ref">torch_tensorrt</span></a></p></li>
<li><p><a class="reference internal" href="py_api/logging.html#torch-tensorrt-logging-py"><span class="std std-ref">torch_tensorrt.logging</span></a></p></li>
<li><p><a class="reference internal" href="py_api/ptq.html#torch-tensorrt-ptq-py"><span class="std std-ref">torch_tensorrt.ptq</span></a></p></li>
<li><p><a class="reference internal" href="py_api/ts.html#torch-tensorrt-ts-py"><span class="std std-ref">torch_tensorrt.ts</span></a></p></li>
<li><p><a class="reference internal" href="py_api/fx.html#torch-tensorrt-fx-py"><span class="std std-ref">torch_tensorrt.fx</span></a></p></li>
</ul>
<div class="toctree-wrapper compound">
</div>
</section>
<section id="c-api-documenation">
<h2>C++ API Documenation<a class="headerlink" href="#c-api-documenation" title="Permalink to this headline">¶</a></h2>
<ul class="simple">
<li><p><a class="reference internal" href="_cpp_api/namespace_torch_tensorrt.html#namespace-torch-tensorrt"><span class="std std-ref">Namespace torch_tensorrt</span></a></p></li>
<li><p><a class="reference internal" href="_cpp_api/namespace_torch_tensorrt__logging.html#namespace-torch-tensorrt-logging"><span class="std std-ref">Namespace torch_tensorrt::logging</span></a></p></li>
<li><p><a class="reference internal" href="_cpp_api/namespace_torch_tensorrt__ptq.html#namespace-torch-tensorrt-ptq"><span class="std std-ref">Namespace torch_tensorrt::ptq</span></a></p></li>
<li><p><a class="reference internal" href="_cpp_api/namespace_torch_tensorrt__torchscript.html#namespace-torch-tensorrt-torchscript"><span class="std std-ref">Namespace torch_tensorrt::torchscript</span></a></p></li>
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<section id="cli-documentation">
<h2>CLI Documentation<a class="headerlink" href="#cli-documentation" title="Permalink to this headline">¶</a></h2>
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<li><p><a class="reference internal" href="cli/torchtrtc.html#torchtrtc"><span class="std std-ref">torchtrtc</span></a></p></li>
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</section>
<section id="contributor-documentation">
<h2>Contributor Documentation<a class="headerlink" href="#contributor-documentation" title="Permalink to this headline">¶</a></h2>
<ul class="simple">
<li><p><a class="reference internal" href="contributors/system_overview.html#system-overview"><span class="std std-ref">System Overview</span></a></p></li>
<li><p><a class="reference internal" href="contributors/writing_converters.html#writing-converters"><span class="std std-ref">Writing Converters</span></a></p></li>
<li><p><a class="reference internal" href="contributors/useful_links.html#useful-links"><span class="std std-ref">Useful Links for Torch-TensorRT Development</span></a></p></li>
</ul>
<div class="toctree-wrapper compound">
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</section>
<section id="indices">
<h2>Indices<a class="headerlink" href="#indices" title="Permalink to this headline">¶</a></h2>
<ul class="simple">
<li><p><a class="reference internal" href="indices/supported_ops.html#supported-ops"><span class="std std-ref">Operators Supported</span></a></p></li>
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