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<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>
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<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>
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<li class="toctree-l1"><a class="reference internal" href="_cpp_api/namespace_torch_tensorrt.html">Namespace torch_tensorrt</a></li>
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<a href="#_"><strong>_</strong></a>
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| <a href="#C"><strong>C</strong></a>
| <a href="#D"><strong>D</strong></a>
| <a href="#E"><strong>E</strong></a>
| <a href="#F"><strong>F</strong></a>
| <a href="#G"><strong>G</strong></a>
| <a href="#I"><strong>I</strong></a>
| <a href="#L"><strong>L</strong></a>
| <a href="#M"><strong>M</strong></a>
| <a href="#P"><strong>P</strong></a>
| <a href="#R"><strong>R</strong></a>
| <a href="#S"><strong>S</strong></a>
| <a href="#T"><strong>T</strong></a>
| <a href="#W"><strong>W</strong></a>
| <a href="#X"><strong>X</strong></a>
</div>
<h2 id="_">_</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="py_api/torch_tensorrt.html#torch_tensorrt.Device.__init__">__init__() (torch_tensorrt.Device method)</a>
<ul>
<li><a href="py_api/torch_tensorrt.html#torch_tensorrt.Input.__init__">(torch_tensorrt.Input method)</a>
</li>
<li><a href="py_api/ptq.html#torch_tensorrt.ptq.CacheCalibrator.__init__">(torch_tensorrt.ptq.CacheCalibrator method)</a>
</li>
<li><a href="py_api/ptq.html#torch_tensorrt.ptq.DataLoaderCalibrator.__init__">(torch_tensorrt.ptq.DataLoaderCalibrator method)</a>
</li>
</ul></li>
</ul></td>
</tr></table>
<h2 id="A">A</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="py_api/torch_tensorrt.html#torch_tensorrt.Device.allow_gpu_fallback">allow_gpu_fallback (torch_tensorrt.Device attribute)</a>
</li>
</ul></td>
</tr></table>
<h2 id="C">C</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="py_api/ptq.html#id1">CacheCalibrator (class in torch_tensorrt.ptq)</a>, <a href="py_api/ptq.html#torch_tensorrt.ptq.CacheCalibrator">[1]</a>
</li>
<li><a href="py_api/ptq.html#id2">CalibrationAlgo (class in torch_tensorrt.ptq)</a>, <a href="py_api/ptq.html#torch_tensorrt.ptq.CalibrationAlgo">[1]</a>
</li>
<li><a href="py_api/ts.html#torch_tensorrt.ts.check_method_op_support">check_method_op_support() (in module torch_tensorrt.ts)</a>
</li>
<li><a href="py_api/torch_tensorrt.html#torch_tensorrt.compile">compile() (in module torch_tensorrt)</a>
<ul>
<li><a href="py_api/fx.html#torch_tensorrt.fx.compile">(in module torch_tensorrt.fx)</a>
</li>
<li><a href="py_api/ts.html#torch_tensorrt.ts.compile">(in module torch_tensorrt.ts)</a>
</li>
</ul></li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="py_api/torch_tensorrt.html#torch_tensorrt.convert_method_to_trt_engine">convert_method_to_trt_engine() (in module torch_tensorrt)</a>
<ul>
<li><a href="py_api/ts.html#torch_tensorrt.ts.convert_method_to_trt_engine">(in module torch_tensorrt.ts)</a>
</li>
</ul></li>
</ul></td>
</tr></table>
<h2 id="D">D</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="py_api/ptq.html#id0">DataLoaderCalibrator (class in torch_tensorrt.ptq)</a>, <a href="py_api/ptq.html#torch_tensorrt.ptq.DataLoaderCalibrator">[1]</a>
</li>
<li><a href="py_api/logging.html#torch_tensorrt.logging.debug">debug (class in torch_tensorrt.logging)</a>
</li>
<li><a href="py_api/logging.html#torch_tensorrt.logging.Level.Debug">Debug (torch_tensorrt.logging.Level attribute)</a>
</li>
<li><a href="py_api/torch_tensorrt.html#torch_tensorrt.Device">Device (class in torch_tensorrt)</a>
</li>
<li><a href="py_api/torch_tensorrt.html#torch_tensorrt.Device.device_type">device_type (torch_tensorrt.Device attribute)</a>
</li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="py_api/torch_tensorrt.html#torch_tensorrt.DeviceType">DeviceType (class in torch_tensorrt)</a>
</li>
<li><a href="py_api/torch_tensorrt.html#torch_tensorrt.Device.dla_core">dla_core (torch_tensorrt.Device attribute)</a>
</li>
<li><a href="src/pytorch-sphinx-theme/docs/demo/demo.html#term-Documentation"><strong>Documentation</strong></a>
</li>
<li><a href="py_api/torch_tensorrt.html#torch_tensorrt.dtype">dtype (class in torch_tensorrt)</a>
<ul>
<li><a href="py_api/torch_tensorrt.html#torch_tensorrt.Input.dtype">(torch_tensorrt.Input attribute)</a>
</li>
</ul></li>
<li><a href="py_api/torch_tensorrt.html#torch_tensorrt.dump_build_info">dump_build_info() (in module torch_tensorrt)</a>
</li>
</ul></td>
</tr></table>
<h2 id="E">E</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="py_api/ts.html#torch_tensorrt.ts.embed_engine_in_new_module">embed_engine_in_new_module() (in module torch_tensorrt.ts)</a>
</li>
<li><a href="py_api/torch_tensorrt.html#torch_tensorrt.EngineCapability">EngineCapability (class in torch_tensorrt)</a>
</li>
<li><a href="py_api/ptq.html#torch_tensorrt.ptq.CalibrationAlgo.ENTROPY_CALIBRATION">ENTROPY_CALIBRATION (torch_tensorrt.ptq.CalibrationAlgo attribute)</a>
</li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="py_api/ptq.html#torch_tensorrt.ptq.CalibrationAlgo.ENTROPY_CALIBRATION_2">ENTROPY_CALIBRATION_2 (torch_tensorrt.ptq.CalibrationAlgo attribute)</a>
</li>
<li><a href="py_api/logging.html#torch_tensorrt.logging.Level.Error">Error (torch_tensorrt.logging.Level attribute)</a>
</li>
<li><a href="py_api/logging.html#torch_tensorrt.logging.errors">errors (class in torch_tensorrt.logging)</a>
</li>
</ul></td>
</tr></table>
<h2 id="F">F</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="py_api/torch_tensorrt.html#torch_tensorrt.Input.format">format (torch_tensorrt.Input attribute)</a>
</li>
</ul></td>
</tr></table>
<h2 id="G">G</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="py_api/ptq.html#torch_tensorrt.ptq.get_batch">get_batch() (in module torch_tensorrt.ptq)</a>
</li>
<li><a href="py_api/ptq.html#torch_tensorrt.ptq.get_batch_size">get_batch_size() (in module torch_tensorrt.ptq)</a>
</li>
<li><a href="py_api/torch_tensorrt.html#torch_tensorrt.get_build_info">get_build_info() (in module torch_tensorrt)</a>
</li>
<li><a href="py_api/ptq.html#torch_tensorrt.ptq.get_cache_mode_batch">get_cache_mode_batch() (in module torch_tensorrt.ptq)</a>
</li>
<li><a href="py_api/logging.html#torch_tensorrt.logging.get_is_colored_output_on">get_is_colored_output_on() (in module torch_tensorrt.logging)</a>
</li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="py_api/logging.html#torch_tensorrt.logging.get_logging_prefix">get_logging_prefix() (in module torch_tensorrt.logging)</a>
</li>
<li><a href="py_api/logging.html#torch_tensorrt.logging.get_reportable_log_level">get_reportable_log_level() (in module torch_tensorrt.logging)</a>
</li>
<li><a href="py_api/torch_tensorrt.html#torch_tensorrt.Device.gpu_id">gpu_id (torch_tensorrt.Device attribute)</a>
</li>
<li><a href="py_api/logging.html#torch_tensorrt.logging.Level.Graph">Graph (torch_tensorrt.logging.Level attribute)</a>
</li>
<li><a href="py_api/logging.html#torch_tensorrt.logging.graphs">graphs (class in torch_tensorrt.logging)</a>
</li>
</ul></td>
</tr></table>
<h2 id="I">I</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="py_api/logging.html#torch_tensorrt.logging.info">info (class in torch_tensorrt.logging)</a>
</li>
<li><a href="py_api/logging.html#torch_tensorrt.logging.Level.Info">Info (torch_tensorrt.logging.Level attribute)</a>
</li>
<li><a href="py_api/torch_tensorrt.html#torch_tensorrt.Input">Input (class in torch_tensorrt)</a>
</li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="py_api/fx.html#torch_tensorrt.fx.InputTensorSpec">InputTensorSpec (class in torch_tensorrt.fx)</a>
</li>
<li><a href="py_api/logging.html#torch_tensorrt.logging.internal_errors">internal_errors (class in torch_tensorrt.logging)</a>
</li>
<li><a href="py_api/logging.html#torch_tensorrt.logging.Level.InternalError">InternalError (torch_tensorrt.logging.Level attribute)</a>
</li>
</ul></td>
</tr></table>
<h2 id="L">L</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="py_api/ptq.html#torch_tensorrt.ptq.CalibrationAlgo.LEGACY_CALIBRATION">LEGACY_CALIBRATION (torch_tensorrt.ptq.CalibrationAlgo attribute)</a>
</li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="py_api/logging.html#torch_tensorrt.logging.Level">Level (class in torch_tensorrt.logging)</a>
</li>
<li><a href="py_api/logging.html#torch_tensorrt.logging.log">log() (in module torch_tensorrt.logging)</a>
</li>
</ul></td>
</tr></table>
<h2 id="M">M</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="py_api/ptq.html#torch_tensorrt.ptq.CalibrationAlgo.MINMAX_CALIBRATION">MINMAX_CALIBRATION (torch_tensorrt.ptq.CalibrationAlgo attribute)</a>
</li>
<li>
module
<ul>
<li><a href="py_api/torch_tensorrt.html#module-torch_tensorrt">torch_tensorrt</a>
</li>
<li><a href="py_api/fx.html#module-torch_tensorrt.fx">torch_tensorrt.fx</a>
</li>
<li><a href="py_api/logging.html#module-torch_tensorrt.logging">torch_tensorrt.logging</a>
</li>
<li><a href="py_api/ptq.html#module-torch_tensorrt.ptq">torch_tensorrt.ptq</a>
</li>
<li><a href="py_api/ts.html#module-torch_tensorrt.ts">torch_tensorrt.ts</a>
</li>
</ul></li>
</ul></td>
</tr></table>
<h2 id="P">P</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li>
Python Enhancement Proposals
<ul>
<li><a href="src/pytorch-sphinx-theme/docs/demo/demo.html#index-0">PEP 287</a>
</li>
</ul></li>
</ul></td>
</tr></table>
<h2 id="R">R</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="py_api/ptq.html#torch_tensorrt.ptq.read_calibration_cache">read_calibration_cache() (in module torch_tensorrt.ptq)</a>
</li>
<li><a href="src/pytorch-sphinx-theme/docs/demo/demo.html#term-Reading"><strong>Reading</strong></a>
</li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li>
RFC
<ul>
<li><a href="src/pytorch-sphinx-theme/docs/demo/demo.html#index-1">RFC 2822</a>
</li>
</ul></li>
</ul></td>
</tr></table>
<h2 id="S">S</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="py_api/torch_tensorrt.html#torch_tensorrt.set_device">set_device() (in module torch_tensorrt)</a>
</li>
<li><a href="py_api/logging.html#torch_tensorrt.logging.set_is_colored_output_on">set_is_colored_output_on() (in module torch_tensorrt.logging)</a>
</li>
<li><a href="py_api/logging.html#torch_tensorrt.logging.set_logging_prefix">set_logging_prefix() (in module torch_tensorrt.logging)</a>
</li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="py_api/logging.html#torch_tensorrt.logging.set_reportable_log_level">set_reportable_log_level() (in module torch_tensorrt.logging)</a>
</li>
<li><a href="py_api/torch_tensorrt.html#torch_tensorrt.Input.shape">shape (torch_tensorrt.Input attribute)</a>
</li>
<li><a href="py_api/torch_tensorrt.html#torch_tensorrt.Input.shape_mode">shape_mode (torch_tensorrt.Input attribute)</a>
</li>
<li><a href="_cpp_api/define_macros_8h_1a18d295a837ac71add5578860b55e5502.html#c.STR">STR (C macro)</a>
</li>
</ul></td>
</tr></table>
<h2 id="T">T</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="py_api/torch_tensorrt.html#torch_tensorrt.TensorFormat">TensorFormat (class in torch_tensorrt)</a>
</li>
<li><a href="py_api/ts.html#torch_tensorrt.ts.TensorRTCompileSpec">TensorRTCompileSpec() (in module torch_tensorrt.ts)</a>
</li>
<li>
torch_tensorrt
<ul>
<li><a href="py_api/torch_tensorrt.html#module-torch_tensorrt">module</a>
</li>
</ul></li>
<li>
torch_tensorrt.fx
<ul>
<li><a href="py_api/fx.html#module-torch_tensorrt.fx">module</a>
</li>
</ul></li>
<li>
torch_tensorrt.logging
<ul>
<li><a href="py_api/logging.html#module-torch_tensorrt.logging">module</a>
</li>
</ul></li>
<li>
torch_tensorrt.ptq
<ul>
<li><a href="py_api/ptq.html#module-torch_tensorrt.ptq">module</a>
</li>
</ul></li>
<li>
torch_tensorrt.ts
<ul>
<li><a href="py_api/ts.html#module-torch_tensorrt.ts">module</a>
</li>
</ul></li>
<li><a href="_cpp_api/classtorch__tensorrt_1_1DataType.html#_CPPv4N14torch_tensorrt8DataTypeE">torch_tensorrt::DataType (C++ class)</a>
</li>
<li><a href="_cpp_api/classtorch__tensorrt_1_1DataType.html#_CPPv4N14torch_tensorrt8DataType8DataTypeE5Value">torch_tensorrt::DataType::DataType (C++ function)</a>, <a href="_cpp_api/classtorch__tensorrt_1_1DataType.html#_CPPv4N14torch_tensorrt8DataType8DataTypeEN3c1010ScalarTypeE">[1]</a>, <a href="_cpp_api/classtorch__tensorrt_1_1DataType.html#_CPPv4N14torch_tensorrt8DataType8DataTypeEv">[2]</a>
</li>
<li><a href="_cpp_api/classtorch__tensorrt_1_1DataType.html#_CPPv4N14torch_tensorrt8DataTypecvbEv">torch_tensorrt::DataType::operator bool (C++ function)</a>
</li>
<li><a href="_cpp_api/classtorch__tensorrt_1_1DataType.html#_CPPv4NK14torch_tensorrt8DataTypecv5ValueEv">torch_tensorrt::DataType::operator Value (C++ function)</a>
</li>
<li><a href="_cpp_api/classtorch__tensorrt_1_1DataType.html#_CPPv4NK14torch_tensorrt8DataTypeneE8DataType">torch_tensorrt::DataType::operator!= (C++ function)</a>, <a href="_cpp_api/classtorch__tensorrt_1_1DataType.html#_CPPv4NK14torch_tensorrt8DataTypeneEN8DataType5ValueE">[1]</a>
</li>
<li><a href="_cpp_api/classtorch__tensorrt_1_1DataType.html#_CPPv4NK14torch_tensorrt8DataTypeeqE8DataType">torch_tensorrt::DataType::operator== (C++ function)</a>, <a href="_cpp_api/classtorch__tensorrt_1_1DataType.html#_CPPv4NK14torch_tensorrt8DataTypeeqEN8DataType5ValueE">[1]</a>
</li>
<li><a href="_cpp_api/classtorch__tensorrt_1_1DataType.html#_CPPv4N14torch_tensorrt8DataType5ValueE">torch_tensorrt::DataType::Value (C++ enum)</a>
</li>
<li><a href="_cpp_api/classtorch__tensorrt_1_1DataType.html#_CPPv4N14torch_tensorrt8DataType5Value5kBoolE">torch_tensorrt::DataType::Value::kBool (C++ enumerator)</a>
</li>
<li><a href="_cpp_api/classtorch__tensorrt_1_1DataType.html#_CPPv4N14torch_tensorrt8DataType5Value5kCharE">torch_tensorrt::DataType::Value::kChar (C++ enumerator)</a>
</li>
<li><a href="_cpp_api/classtorch__tensorrt_1_1DataType.html#_CPPv4N14torch_tensorrt8DataType5Value6kFloatE">torch_tensorrt::DataType::Value::kFloat (C++ enumerator)</a>
</li>
<li><a href="_cpp_api/classtorch__tensorrt_1_1DataType.html#_CPPv4N14torch_tensorrt8DataType5Value5kHalfE">torch_tensorrt::DataType::Value::kHalf (C++ enumerator)</a>
</li>
<li><a href="_cpp_api/classtorch__tensorrt_1_1DataType.html#_CPPv4N14torch_tensorrt8DataType5Value4kIntE">torch_tensorrt::DataType::Value::kInt (C++ enumerator)</a>
</li>
<li><a href="_cpp_api/classtorch__tensorrt_1_1DataType.html#_CPPv4N14torch_tensorrt8DataType5Value8kUnknownE">torch_tensorrt::DataType::Value::kUnknown (C++ enumerator)</a>
</li>
<li><a href="_cpp_api/structtorch__tensorrt_1_1Device.html#_CPPv4N14torch_tensorrt6DeviceE">torch_tensorrt::Device (C++ struct)</a>
</li>
<li><a href="_cpp_api/structtorch__tensorrt_1_1Device.html#_CPPv4N14torch_tensorrt6Device18allow_gpu_fallbackE">torch_tensorrt::Device::allow_gpu_fallback (C++ member)</a>
</li>
<li><a href="_cpp_api/structtorch__tensorrt_1_1Device.html#_CPPv4N14torch_tensorrt6Device6DeviceEv">torch_tensorrt::Device::Device (C++ function)</a>
</li>
<li><a href="_cpp_api/structtorch__tensorrt_1_1Device.html#_CPPv4N14torch_tensorrt6Device11device_typeE">torch_tensorrt::Device::device_type (C++ member)</a>
</li>
<li><a href="_cpp_api/classtorch__tensorrt_1_1Device_1_1DeviceType.html#_CPPv4N14torch_tensorrt6Device10DeviceTypeE">torch_tensorrt::Device::DeviceType (C++ class)</a>, <a href="_cpp_api/structtorch__tensorrt_1_1Device.html#_CPPv4N14torch_tensorrt6Device10DeviceTypeE">[1]</a>
</li>
<li><a href="_cpp_api/classtorch__tensorrt_1_1Device_1_1DeviceType.html#_CPPv4N14torch_tensorrt6Device10DeviceType10DeviceTypeE5Value">torch_tensorrt::Device::DeviceType::DeviceType (C++ function)</a>, <a href="_cpp_api/classtorch__tensorrt_1_1Device_1_1DeviceType.html#_CPPv4N14torch_tensorrt6Device10DeviceType10DeviceTypeEN3c1010DeviceTypeE">[1]</a>, <a href="_cpp_api/classtorch__tensorrt_1_1Device_1_1DeviceType.html#_CPPv4N14torch_tensorrt6Device10DeviceType10DeviceTypeEv">[2]</a>, <a href="_cpp_api/structtorch__tensorrt_1_1Device.html#_CPPv4N14torch_tensorrt6Device10DeviceType10DeviceTypeE5Value">[3]</a>, <a href="_cpp_api/structtorch__tensorrt_1_1Device.html#_CPPv4N14torch_tensorrt6Device10DeviceType10DeviceTypeEN3c1010DeviceTypeE">[4]</a>, <a href="_cpp_api/structtorch__tensorrt_1_1Device.html#_CPPv4N14torch_tensorrt6Device10DeviceType10DeviceTypeEv">[5]</a>
</li>
<li><a href="_cpp_api/classtorch__tensorrt_1_1Device_1_1DeviceType.html#_CPPv4N14torch_tensorrt6Device10DeviceTypecvbEv">torch_tensorrt::Device::DeviceType::operator bool (C++ function)</a>, <a href="_cpp_api/structtorch__tensorrt_1_1Device.html#_CPPv4N14torch_tensorrt6Device10DeviceTypecvbEv">[1]</a>
</li>
<li><a href="_cpp_api/classtorch__tensorrt_1_1Device_1_1DeviceType.html#_CPPv4NK14torch_tensorrt6Device10DeviceTypecv5ValueEv">torch_tensorrt::Device::DeviceType::operator Value (C++ function)</a>, <a href="_cpp_api/structtorch__tensorrt_1_1Device.html#_CPPv4NK14torch_tensorrt6Device10DeviceTypecv5ValueEv">[1]</a>
</li>
<li><a href="_cpp_api/classtorch__tensorrt_1_1Device_1_1DeviceType.html#_CPPv4NK14torch_tensorrt6Device10DeviceTypeneE10DeviceType">torch_tensorrt::Device::DeviceType::operator!= (C++ function)</a>, <a href="_cpp_api/structtorch__tensorrt_1_1Device.html#_CPPv4NK14torch_tensorrt6Device10DeviceTypeneE10DeviceType">[1]</a>
</li>
<li><a href="_cpp_api/classtorch__tensorrt_1_1Device_1_1DeviceType.html#_CPPv4NK14torch_tensorrt6Device10DeviceTypeeqE10DeviceType">torch_tensorrt::Device::DeviceType::operator== (C++ function)</a>, <a href="_cpp_api/structtorch__tensorrt_1_1Device.html#_CPPv4NK14torch_tensorrt6Device10DeviceTypeeqE10DeviceType">[1]</a>
</li>
<li><a href="_cpp_api/classtorch__tensorrt_1_1Device_1_1DeviceType.html#_CPPv4N14torch_tensorrt6Device10DeviceType5ValueE">torch_tensorrt::Device::DeviceType::Value (C++ enum)</a>, <a href="_cpp_api/structtorch__tensorrt_1_1Device.html#_CPPv4N14torch_tensorrt6Device10DeviceType5ValueE">[1]</a>
</li>
<li><a href="_cpp_api/classtorch__tensorrt_1_1Device_1_1DeviceType.html#_CPPv4N14torch_tensorrt6Device10DeviceType5Value4kDLAE">torch_tensorrt::Device::DeviceType::Value::kDLA (C++ enumerator)</a>, <a href="_cpp_api/structtorch__tensorrt_1_1Device.html#_CPPv4N14torch_tensorrt6Device10DeviceType5Value4kDLAE">[1]</a>
</li>
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<li><a href="_cpp_api/structtorch__tensorrt_1_1torchscript_1_1CompileSpec.html#_CPPv4N14torch_tensorrt11torchscript11CompileSpec5refitE">torch_tensorrt::torchscript::CompileSpec::refit (C++ member)</a>
</li>
<li><a href="_cpp_api/structtorch__tensorrt_1_1torchscript_1_1CompileSpec.html#_CPPv4N14torch_tensorrt11torchscript11CompileSpec24require_full_compilationE">torch_tensorrt::torchscript::CompileSpec::require_full_compilation (C++ member)</a>
</li>
<li><a href="_cpp_api/structtorch__tensorrt_1_1torchscript_1_1CompileSpec.html#_CPPv4N14torch_tensorrt11torchscript11CompileSpec14sparse_weightsE">torch_tensorrt::torchscript::CompileSpec::sparse_weights (C++ member)</a>
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<li><a href="_cpp_api/structtorch__tensorrt_1_1torchscript_1_1CompileSpec.html#_CPPv4N14torch_tensorrt11torchscript11CompileSpec22torch_executed_modulesE">torch_tensorrt::torchscript::CompileSpec::torch_executed_modules (C++ member)</a>
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<li><a href="_cpp_api/structtorch__tensorrt_1_1torchscript_1_1CompileSpec.html#_CPPv4N14torch_tensorrt11torchscript11CompileSpec18torch_executed_opsE">torch_tensorrt::torchscript::CompileSpec::torch_executed_ops (C++ member)</a>
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<li><a href="_cpp_api/structtorch__tensorrt_1_1torchscript_1_1CompileSpec.html#_CPPv4N14torch_tensorrt11torchscript11CompileSpec24truncate_long_and_doubleE">torch_tensorrt::torchscript::CompileSpec::truncate_long_and_double (C++ member)</a>
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<li><a href="_cpp_api/structtorch__tensorrt_1_1torchscript_1_1CompileSpec.html#_CPPv4N14torch_tensorrt11torchscript11CompileSpec14workspace_sizeE">torch_tensorrt::torchscript::CompileSpec::workspace_size (C++ member)</a>
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<li><a href="_cpp_api/function_torch__tensorrt_8h_1ae8d56472106eeef37fbe51ff7f40c9b2.html#_CPPv4N14torch_tensorrt11torchscript28convert_method_to_trt_engineERKN5torch3jit6ModuleENSt6stringE11CompileSpec">torch_tensorrt::torchscript::convert_method_to_trt_engine (C++ function)</a>
</li>
<li><a href="_cpp_api/function_torch__tensorrt_8h_1a710df824a7718b440e4bc17bf9693cef.html#_CPPv4N14torch_tensorrt11torchscript26embed_engine_in_new_moduleERKNSt6stringE6Device">torch_tensorrt::torchscript::embed_engine_in_new_module (C++ function)</a>
</li>
<li><a href="_cpp_api/define_macros_8h_1a31398a6d4d27e28817afb0f0139e909e.html#c.TORCH_TENSORRT_MAJOR_VERSION">TORCH_TENSORRT_MAJOR_VERSION (C macro)</a>
</li>
<li><a href="_cpp_api/define_macros_8h_1a35703561b26b1a9d2738ad7d58b27827.html#c.TORCH_TENSORRT_MINOR_VERSION">TORCH_TENSORRT_MINOR_VERSION (C macro)</a>
</li>
<li><a href="_cpp_api/define_macros_8h_1a282fd3c0b1c3a215148ae372070e1268.html#c.TORCH_TENSORRT_PATCH_VERSION">TORCH_TENSORRT_PATCH_VERSION (C macro)</a>
</li>
<li><a href="_cpp_api/define_macros_8h_1adad592a7b1b7eed529cdf6acd584c883.html#c.TORCH_TENSORRT_VERSION">TORCH_TENSORRT_VERSION (C macro)</a>
</li>
<li><a href="_cpp_api/define_macros_8h_1abd1465eb38256d3f22cc1426b23d516b.html#c.TORCHTRT_API">TORCHTRT_API (C macro)</a>
</li>
<li><a href="_cpp_api/define_macros_8h_1ad19939408f7be171a74a89928b36eb59.html#c.TORCHTRT_HIDDEN">TORCHTRT_HIDDEN (C macro)</a>
</li>
<li><a href="py_api/fx.html#torch_tensorrt.fx.TRTInterpreter">TRTInterpreter (class in torch_tensorrt.fx)</a>
</li>
<li><a href="py_api/fx.html#torch_tensorrt.fx.TRTInterpreterResult">TRTInterpreterResult (class in torch_tensorrt.fx)</a>
</li>
<li><a href="py_api/fx.html#torch_tensorrt.fx.TRTModule">TRTModule (class in torch_tensorrt.fx)</a>
</li>
</ul></td>
</tr></table>
<h2 id="W">W</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="py_api/logging.html#torch_tensorrt.logging.Level.Warning">Warning (torch_tensorrt.logging.Level attribute)</a>
</li>
<li><a href="py_api/logging.html#torch_tensorrt.logging.warnings">warnings (class in torch_tensorrt.logging)</a>
</li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="py_api/ptq.html#torch_tensorrt.ptq.write_calibration_cache">write_calibration_cache() (in module torch_tensorrt.ptq)</a>
</li>
<li><a href="src/pytorch-sphinx-theme/docs/demo/demo.html#term-Writing"><strong>Writing</strong></a>
</li>
</ul></td>
</tr></table>
<h2 id="X">X</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="_cpp_api/define_macros_8h_1abe87b341f562fd1cf40b7672e4d759da.html#c.XSTR">XSTR (C macro)</a>
</li>
</ul></td>
</tr></table>
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