From 42013abc48cdb97ab72f7c1a32b1b755434f6beb Mon Sep 17 00:00:00 2001
From: Naren Dasan <naren@narendasan.com>
Date: Wed, 15 Jul 2020 15:14:23 -0700
Subject: [PATCH] fix: Fix pre CXX11 ABI python builds and regen docs

Signed-off-by: Naren Dasan <naren@narendasan.com>
Signed-off-by: Naren Dasan <narens@nvidia.com>
---
 docs/._index.html        | Bin 4096 -> 4096 bytes
 docs/genindex.html       | 299 ++++++++++++++++++-
 docs/objects.inv         | Bin 7857 -> 8040 bytes
 docs/py-modindex.html    | 566 ++++++++++++++++++++++++++++++++++++
 docs/py_api/logging.html | 488 +++++++++++++++++++++++++++++++
 docs/py_api/trtorch.html | 611 +++++++++++++++++++++++++++++++++++++++
 docs/searchindex.js      |   2 +-
 docs/sitemap.xml         |   2 +-
 docsrc/conf.py           |   6 +-
 py/setup.py              |   5 +-
 10 files changed, 1963 insertions(+), 16 deletions(-)
 create mode 100644 docs/py-modindex.html

diff --git a/docs/._index.html b/docs/._index.html
index 50f7ce2e195b1f595f51e79af32b13bce3d09a86..488bc78a7a1413187f5e76df3946f594598874db 100644
GIT binary patch
delta 31
lcmZorXi%82fTuK_Kb`>yW_mfwY}{zfH}L@L<|lkIi~yPB3BmvX

delta 31
lcmZorXi%82fM>PTlQ;$-C@pW1+PKk}Z{h*g%}@Ab7y+&|3dsNf

diff --git a/docs/genindex.html b/docs/genindex.html
index d454b4763c..72a3407220 100644
--- a/docs/genindex.html
+++ b/docs/genindex.html
@@ -469,12 +469,48 @@ <h1 id="index">
         Index
        </h1>
        <div class="genindex-jumpbox">
+        <a href="#C">
+         <strong>
+          C
+         </strong>
+        </a>
+        |
+        <a href="#D">
+         <strong>
+          D
+         </strong>
+        </a>
+        |
+        <a href="#E">
+         <strong>
+          E
+         </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
@@ -493,12 +529,168 @@ <h1 id="index">
          </strong>
         </a>
         |
+        <a href="#W">
+         <strong>
+          W
+         </strong>
+        </a>
+        |
         <a href="#X">
          <strong>
           X
          </strong>
         </a>
        </div>
+       <h2 id="C">
+        C
+       </h2>
+       <table class="indextable genindextable" style="width: 100%">
+        <tr>
+         <td style="width: 33%; vertical-align: top;">
+          <ul>
+           <li>
+            <a href="py_api/trtorch.html#trtorch.check_method_op_support">
+             check_method_op_support() (in module trtorch)
+            </a>
+           </li>
+          </ul>
+         </td>
+         <td style="width: 33%; vertical-align: top;">
+          <ul>
+           <li>
+            <a href="py_api/trtorch.html#trtorch.compile">
+             compile() (in module trtorch)
+            </a>
+           </li>
+           <li>
+            <a href="py_api/trtorch.html#trtorch.convert_method_to_trt_engine">
+             convert_method_to_trt_engine() (in module trtorch)
+            </a>
+           </li>
+          </ul>
+         </td>
+        </tr>
+       </table>
+       <h2 id="D">
+        D
+       </h2>
+       <table class="indextable genindextable" style="width: 100%">
+        <tr>
+         <td style="width: 33%; vertical-align: top;">
+          <ul>
+           <li>
+            <a href="py_api/logging.html#trtorch.logging.Level.Debug">
+             Debug (trtorch.logging.Level attribute)
+            </a>
+           </li>
+           <li>
+            <a href="py_api/trtorch.html#trtorch.DeviceType">
+             DeviceType (class in trtorch)
+            </a>
+           </li>
+          </ul>
+         </td>
+         <td style="width: 33%; vertical-align: top;">
+          <ul>
+           <li>
+            <a href="py_api/trtorch.html#trtorch.dtype">
+             dtype (class in trtorch)
+            </a>
+           </li>
+           <li>
+            <a href="py_api/trtorch.html#trtorch.dump_build_info">
+             dump_build_info() (in module trtorch)
+            </a>
+           </li>
+          </ul>
+         </td>
+        </tr>
+       </table>
+       <h2 id="E">
+        E
+       </h2>
+       <table class="indextable genindextable" style="width: 100%">
+        <tr>
+         <td style="width: 33%; vertical-align: top;">
+          <ul>
+           <li>
+            <a href="py_api/trtorch.html#trtorch.EngineCapability">
+             EngineCapability (class in trtorch)
+            </a>
+           </li>
+          </ul>
+         </td>
+         <td style="width: 33%; vertical-align: top;">
+          <ul>
+           <li>
+            <a href="py_api/logging.html#trtorch.logging.Level.Error">
+             Error (trtorch.logging.Level attribute)
+            </a>
+           </li>
+          </ul>
+         </td>
+        </tr>
+       </table>
+       <h2 id="G">
+        G
+       </h2>
+       <table class="indextable genindextable" style="width: 100%">
+        <tr>
+         <td style="width: 33%; vertical-align: top;">
+          <ul>
+           <li>
+            <a href="py_api/trtorch.html#trtorch.get_build_info">
+             get_build_info() (in module trtorch)
+            </a>
+           </li>
+           <li>
+            <a href="py_api/logging.html#trtorch.logging.get_is_colored_output_on">
+             get_is_colored_output_on() (in module trtorch.logging)
+            </a>
+           </li>
+          </ul>
+         </td>
+         <td style="width: 33%; vertical-align: top;">
+          <ul>
+           <li>
+            <a href="py_api/logging.html#trtorch.logging.get_logging_prefix">
+             get_logging_prefix() (in module trtorch.logging)
+            </a>
+           </li>
+           <li>
+            <a href="py_api/logging.html#trtorch.logging.get_reportable_log_level">
+             get_reportable_log_level() (in module trtorch.logging)
+            </a>
+           </li>
+          </ul>
+         </td>
+        </tr>
+       </table>
+       <h2 id="I">
+        I
+       </h2>
+       <table class="indextable genindextable" style="width: 100%">
+        <tr>
+         <td style="width: 33%; vertical-align: top;">
+          <ul>
+           <li>
+            <a href="py_api/logging.html#trtorch.logging.Level.Info">
+             Info (trtorch.logging.Level attribute)
+            </a>
+           </li>
+          </ul>
+         </td>
+         <td style="width: 33%; vertical-align: top;">
+          <ul>
+           <li>
+            <a href="py_api/logging.html#trtorch.logging.Level.InternalError">
+             InternalError (trtorch.logging.Level attribute)
+            </a>
+           </li>
+          </ul>
+         </td>
+        </tr>
+       </table>
        <h2 id="L">
         L
        </h2>
@@ -506,6 +698,16 @@ <h2 id="L">
         <tr>
          <td style="width: 33%; vertical-align: top;">
           <ul>
+           <li>
+            <a href="py_api/logging.html#trtorch.logging.Level">
+             Level (class in trtorch.logging)
+            </a>
+           </li>
+           <li>
+            <a href="py_api/logging.html#trtorch.logging.log">
+             log() (in module trtorch.logging)
+            </a>
+           </li>
            <li>
             <a href="_cpp_api/function_logging_8h_1a9b420280bfacc016d7e36a5704021949.html#_CPPv4N7logging7trtorch24get_is_colored_output_onEv">
              logging::trtorch::get_is_colored_output_on (C++ function)
@@ -536,15 +738,15 @@ <h2 id="L">
              logging::trtorch::Level::kERROR (C++ enumerator)
             </a>
            </li>
+          </ul>
+         </td>
+         <td style="width: 33%; vertical-align: top;">
+          <ul>
            <li>
             <a href="_cpp_api/enum_logging_8h_1a5f612ff2f783ff4fbe89d168f0d817d4.html#_CPPv4N7logging7trtorch5Level6kGRAPHE">
              logging::trtorch::Level::kGRAPH (C++ enumerator)
             </a>
            </li>
-          </ul>
-         </td>
-         <td style="width: 33%; vertical-align: top;">
-          <ul>
            <li>
             <a href="_cpp_api/enum_logging_8h_1a5f612ff2f783ff4fbe89d168f0d817d4.html#_CPPv4N7logging7trtorch5Level5kINFOE">
              logging::trtorch::Level::kINFO (C++ enumerator)
@@ -584,6 +786,32 @@ <h2 id="L">
          </td>
         </tr>
        </table>
+       <h2 id="M">
+        M
+       </h2>
+       <table class="indextable genindextable" style="width: 100%">
+        <tr>
+         <td style="width: 33%; vertical-align: top;">
+          <ul>
+           <li>
+            module
+            <ul>
+             <li>
+              <a href="py_api/trtorch.html#module-trtorch">
+               trtorch
+              </a>
+             </li>
+             <li>
+              <a href="py_api/logging.html#module-trtorch.logging">
+               trtorch.logging
+              </a>
+             </li>
+            </ul>
+           </li>
+          </ul>
+         </td>
+        </tr>
+       </table>
        <h2 id="P">
         P
        </h2>
@@ -616,6 +844,25 @@ <h2 id="S">
         <tr>
          <td style="width: 33%; vertical-align: top;">
           <ul>
+           <li>
+            <a href="py_api/logging.html#trtorch.logging.set_is_colored_output_on">
+             set_is_colored_output_on() (in module trtorch.logging)
+            </a>
+           </li>
+           <li>
+            <a href="py_api/logging.html#trtorch.logging.set_logging_prefix">
+             set_logging_prefix() (in module trtorch.logging)
+            </a>
+           </li>
+          </ul>
+         </td>
+         <td style="width: 33%; vertical-align: top;">
+          <ul>
+           <li>
+            <a href="py_api/logging.html#trtorch.logging.set_reportable_log_level">
+             set_reportable_log_level() (in module trtorch.logging)
+            </a>
+           </li>
            <li>
             <a href="_cpp_api/define_macros_8h_1a18d295a837ac71add5578860b55e5502.html#c.STR">
              STR (C macro)
@@ -632,6 +879,26 @@ <h2 id="T">
         <tr>
          <td style="width: 33%; vertical-align: top;">
           <ul>
+           <li>
+            trtorch
+            <ul>
+             <li>
+              <a href="py_api/trtorch.html#module-trtorch">
+               module
+              </a>
+             </li>
+            </ul>
+           </li>
+           <li>
+            trtorch.logging
+            <ul>
+             <li>
+              <a href="py_api/logging.html#module-trtorch.logging">
+               module
+              </a>
+             </li>
+            </ul>
+           </li>
            <li>
             <a href="_cpp_api/function_trtorch_8h_1ab01696cfe08b6a5293c55935a9713c25.html#_CPPv4N7trtorch26CheckMethodOperatorSupportERKN5torch3jit6ModuleENSt6stringE">
              trtorch::CheckMethodOperatorSupport (C++ function)
@@ -916,6 +1183,10 @@ <h2 id="T">
              trtorch::ExtraInfo::EngineCapability::kSAFE_GPU (C++ enumerator)
             </a>
            </li>
+          </ul>
+         </td>
+         <td style="width: 33%; vertical-align: top;">
+          <ul>
            <li>
             <a href="_cpp_api/structtrtorch_1_1ExtraInfo.html#_CPPv4N7trtorch9ExtraInfo9ExtraInfoENSt6vectorI10InputRangeEE">
              trtorch::ExtraInfo::ExtraInfo (C++ function)
@@ -934,10 +1205,6 @@ <h2 id="T">
              trtorch::ExtraInfo::input_ranges (C++ member)
             </a>
            </li>
-          </ul>
-         </td>
-         <td style="width: 33%; vertical-align: top;">
-          <ul>
            <li>
             <a href="_cpp_api/structtrtorch_1_1ExtraInfo.html#_CPPv4N7trtorch9ExtraInfo10InputRangeE">
              trtorch::ExtraInfo::InputRange (C++ struct)
@@ -1156,6 +1423,22 @@ <h2 id="T">
          </td>
         </tr>
        </table>
+       <h2 id="W">
+        W
+       </h2>
+       <table class="indextable genindextable" style="width: 100%">
+        <tr>
+         <td style="width: 33%; vertical-align: top;">
+          <ul>
+           <li>
+            <a href="py_api/logging.html#trtorch.logging.Level.Warning">
+             Warning (trtorch.logging.Level attribute)
+            </a>
+           </li>
+          </ul>
+         </td>
+        </tr>
+       </table>
        <h2 id="X">
         X
        </h2>
diff --git a/docs/objects.inv b/docs/objects.inv
index b8d52c397cebb10562baabbc89ad533b34daf8f6..ea5ff21980cf300ffec0b385611e6fe669aa2555 100644
GIT binary patch
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+           <span class="md-nav__link caption">
+            <span class="caption-text">
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+            </span>
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+            Installation
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+             <a class="md-nav__link" href="tutorials/installation.html#compiling-from-source">
+              Compiling From Source
+             </a>
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+          <li class="md-nav__item">
+           <a class="md-nav__link" href="tutorials/getting_started.html">
+            Getting Started
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+             <a class="md-nav__link" href="tutorials/getting_started.html#creating-a-torchscript-module">
+              Creating a TorchScript Module
+             </a>
+            </li>
+            <li class="md-nav__item">
+             <a class="md-nav__link" href="tutorials/getting_started.html#working-with-torchscript-in-python">
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+             </a>
+            </li>
+            <li class="md-nav__item">
+             <a class="md-nav__link" href="tutorials/getting_started.html#compiling-with-trtorch-in-python">
+              Compiling with TRTorch in Python
+             </a>
+            </li>
+            <li class="md-nav__item">
+             <a class="md-nav__link" href="tutorials/getting_started.html#working-with-torchscript-in-c">
+              Working with TorchScript in C++
+             </a>
+            </li>
+            <li class="md-nav__item">
+             <a class="md-nav__link" href="tutorials/getting_started.html#compiling-with-trtorch-in-c">
+              Compiling with TRTorch in C++
+             </a>
+            </li>
+            <li class="md-nav__item">
+             <a class="md-nav__link" href="tutorials/getting_started.html#under-the-hood">
+              Under The Hood
+             </a>
+            </li>
+            <li class="md-nav__item">
+             <a class="md-nav__link" href="tutorials/getting_started.html#working-with-unsupported-operators">
+              Working with Unsupported Operators
+             </a>
+            </li>
+           </ul>
+          </li>
+          <li class="md-nav__item">
+           <a class="md-nav__link" href="tutorials/ptq.html">
+            Post Training Quantization (PTQ)
+           </a>
+           <ul class="md-nav__list">
+            <li class="md-nav__item">
+             <a class="md-nav__link" href="tutorials/ptq.html#how-to-create-your-own-ptq-application">
+              How to create your own PTQ application
+             </a>
+            </li>
+           </ul>
+          </li>
+          <li class="md-nav__item">
+           <a class="md-nav__link" href="tutorials/trtorchc.html">
+            trtorchc
+           </a>
+          </li>
+          <li class="md-nav__item">
+           <span class="md-nav__link caption">
+            <span class="caption-text">
+             Python API Documenation
+            </span>
+           </span>
+          </li>
+          <li class="md-nav__item">
+           <a class="md-nav__link" href="py_api/trtorch.html">
+            trtorch
+           </a>
+           <ul class="md-nav__list">
+            <li class="md-nav__item">
+             <a class="md-nav__link" href="py_api/trtorch.html#functions">
+              Functions
+             </a>
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+             <a class="md-nav__link" href="py_api/trtorch.html#enums">
+              Enums
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+            <li class="md-nav__item">
+             <a class="md-nav__link" href="py_api/trtorch.html#submodules">
+              Submodules
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+           </ul>
+          </li>
+          <li class="md-nav__item">
+           <a class="md-nav__link" href="py_api/logging.html">
+            trtorch.logging
+           </a>
+          </li>
+          <li class="md-nav__item">
+           <span class="md-nav__link caption">
+            <span class="caption-text">
+             C++ API Documenation
+            </span>
+           </span>
+          </li>
+          <li class="md-nav__item">
+           <a class="md-nav__link" href="_cpp_api/trtorch_cpp.html">
+            TRTorch C++ API
+           </a>
+           <ul class="md-nav__list">
+            <li class="md-nav__item">
+             <a class="md-nav__link" href="_cpp_api/trtorch_cpp.html#class-hierarchy">
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+             </a>
+            </li>
+            <li class="md-nav__item">
+             <a class="md-nav__link" href="_cpp_api/trtorch_cpp.html#file-hierarchy">
+              File Hierarchy
+             </a>
+            </li>
+            <li class="md-nav__item">
+             <a class="md-nav__link" href="_cpp_api/trtorch_cpp.html#full-api">
+              Full API
+             </a>
+            </li>
+           </ul>
+          </li>
+          <li class="md-nav__item">
+           <span class="md-nav__link caption">
+            <span class="caption-text">
+             Contributor Documentation
+            </span>
+           </span>
+          </li>
+          <li class="md-nav__item">
+           <a class="md-nav__link" href="contributors/system_overview.html">
+            System Overview
+           </a>
+           <ul class="md-nav__list">
+            <li class="md-nav__item">
+             <a class="md-nav__link" href="contributors/system_overview.html#compiler-phases">
+              Compiler Phases
+             </a>
+            </li>
+           </ul>
+          </li>
+          <li class="md-nav__item">
+           <a class="md-nav__link" href="contributors/writing_converters.html">
+            Writing Converters
+           </a>
+           <ul class="md-nav__list">
+            <li class="md-nav__item">
+             <a class="md-nav__link" href="contributors/writing_converters.html#background">
+              Background
+             </a>
+            </li>
+            <li class="md-nav__item">
+             <a class="md-nav__link" href="contributors/writing_converters.html#converters">
+              Converters
+             </a>
+            </li>
+            <li class="md-nav__item">
+             <a class="md-nav__link" href="contributors/writing_converters.html#converter-contract">
+              Converter Contract
+             </a>
+            </li>
+            <li class="md-nav__item">
+             <a class="md-nav__link" href="contributors/writing_converters.html#conversion-context">
+              Conversion Context
+             </a>
+            </li>
+            <li class="md-nav__item">
+             <a class="md-nav__link" href="contributors/writing_converters.html#args">
+              Args
+             </a>
+            </li>
+            <li class="md-nav__item">
+             <a class="md-nav__link" href="contributors/writing_converters.html#weights">
+              Weights
+             </a>
+            </li>
+            <li class="md-nav__item">
+             <a class="md-nav__link" href="contributors/writing_converters.html#other-advice">
+              Other advice
+             </a>
+            </li>
+           </ul>
+          </li>
+          <li class="md-nav__item">
+           <a class="md-nav__link" href="contributors/useful_links.html">
+            Useful Links for TRTorch Development
+           </a>
+           <ul class="md-nav__list">
+            <li class="md-nav__item">
+             <a class="md-nav__link" href="contributors/useful_links.html#tensorrt-available-layers-and-expected-dimensions">
+              TensorRT Available Layers and Expected Dimensions
+             </a>
+            </li>
+            <li class="md-nav__item">
+             <a class="md-nav__link" href="contributors/useful_links.html#tensorrt-c-documentation">
+              TensorRT C++ Documentation
+             </a>
+            </li>
+            <li class="md-nav__item">
+             <a class="md-nav__link" href="contributors/useful_links.html#tensorrt-python-documentation-sometimes-easier-to-read">
+              TensorRT Python Documentation (Sometimes easier to read)
+             </a>
+            </li>
+            <li class="md-nav__item">
+             <a class="md-nav__link" href="contributors/useful_links.html#pytorch-functional-api">
+              PyTorch Functional API
+             </a>
+            </li>
+            <li class="md-nav__item">
+             <a class="md-nav__link" href="contributors/useful_links.html#pytorch-native-ops">
+              PyTorch native_ops
+             </a>
+            </li>
+            <li class="md-nav__item">
+             <a class="md-nav__link" href="contributors/useful_links.html#pytorch-ir-documentation">
+              PyTorch IR Documentation
+             </a>
+            </li>
+           </ul>
+          </li>
+         </ul>
+        </nav>
+       </div>
+      </div>
+     </div>
+     <div class="md-sidebar md-sidebar--secondary" data-md-component="toc">
+      <div class="md-sidebar__scrollwrap">
+       <div class="md-sidebar__inner">
+        <nav class="md-nav md-nav--secondary">
+         <ul class="md-nav__list" data-md-scrollfix="">
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+      </div>
+     </div>
+     <div class="md-content">
+      <article class="md-content__inner md-typeset" role="main">
+       <h1>
+        Python Module Index
+       </h1>
+       <div class="modindex-jumpbox">
+        <a href="#cap-t">
+         <strong>
+          t
+         </strong>
+        </a>
+       </div>
+       <table class="indextable modindextable">
+        <tr class="pcap">
+         <td>
+         </td>
+         <td>
+         </td>
+         <td>
+         </td>
+        </tr>
+        <tr class="cap" id="cap-t">
+         <td>
+         </td>
+         <td>
+          <strong>
+           t
+          </strong>
+         </td>
+         <td>
+         </td>
+        </tr>
+        <tr>
+         <td>
+          <img alt="-" class="toggler" id="toggle-1" src="_static/minus.png" style="display: none"/>
+         </td>
+         <td>
+          <a href="py_api/trtorch.html#module-trtorch">
+           <code class="xref">
+            trtorch
+           </code>
+          </a>
+         </td>
+         <td>
+          <em>
+          </em>
+         </td>
+        </tr>
+        <tr class="cg-1">
+         <td>
+         </td>
+         <td>
+          <a href="py_api/logging.html#module-trtorch.logging">
+           <code class="xref">
+            trtorch.logging
+           </code>
+          </a>
+         </td>
+         <td>
+          <em>
+          </em>
+         </td>
+        </tr>
+       </table>
+      </article>
+     </div>
+    </div>
+   </main>
+  </div>
+  <footer class="md-footer">
+   <div class="md-footer-nav">
+    <nav class="md-footer-nav__inner md-grid">
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+    <div class="md-footer-meta__inner md-grid">
+     <div class="md-footer-copyright">
+      <div class="md-footer-copyright__highlight">
+       © Copyright 2020, NVIDIA Corporation.
+      </div>
+      Created using
+      <a href="http://www.sphinx-doc.org/">
+       Sphinx
+      </a>
+      3.0.3.
+             and
+      <a href="https://github.com/bashtage/sphinx-material/">
+       Material for
+              Sphinx
+      </a>
+     </div>
+    </div>
+   </div>
+  </footer>
+  <script src="_static/javascripts/application.js">
+  </script>
+  <script>
+   app.initialize({version: "1.0.4", url: {base: ".."}})
+  </script>
+ </body>
+</html>
\ No newline at end of file
diff --git a/docs/py_api/logging.html b/docs/py_api/logging.html
index 9a3abb43da..382494fb05 100644
--- a/docs/py_api/logging.html
+++ b/docs/py_api/logging.html
@@ -496,6 +496,494 @@ <h1 id="py-api-logging--page-root">
          ¶
         </a>
        </h1>
+       <span class="target" id="module-trtorch.logging">
+       </span>
+       <dl class="py class">
+        <dt id="trtorch.logging.Level">
+         <em class="property">
+          class
+         </em>
+         <code class="sig-prename descclassname">
+          trtorch.logging.
+         </code>
+         <code class="sig-name descname">
+          Level
+         </code>
+         <a class="headerlink" href="#trtorch.logging.Level" title="Permalink to this definition">
+          ¶
+         </a>
+        </dt>
+        <dd>
+         <p>
+          Bases:
+          <code class="xref cpp cpp-class docutils literal notranslate">
+           <span class="pre">
+            enum.Enum
+           </span>
+          </code>
+         </p>
+         <p>
+          Enum to set the minimum required logging level to print a message to stdout
+         </p>
+         <dl class="py attribute">
+          <dt id="trtorch.logging.Level.Debug">
+           <code class="sig-name descname">
+            Debug
+           </code>
+           <em class="property">
+            = LogLevel.DEBUG
+           </em>
+           <a class="headerlink" href="#trtorch.logging.Level.Debug" title="Permalink to this definition">
+            ¶
+           </a>
+          </dt>
+          <dd>
+          </dd>
+         </dl>
+         <dl class="py attribute">
+          <dt id="trtorch.logging.Level.Error">
+           <code class="sig-name descname">
+            Error
+           </code>
+           <em class="property">
+            = LogLevel.ERROR
+           </em>
+           <a class="headerlink" href="#trtorch.logging.Level.Error" title="Permalink to this definition">
+            ¶
+           </a>
+          </dt>
+          <dd>
+          </dd>
+         </dl>
+         <dl class="py attribute">
+          <dt id="trtorch.logging.Level.Info">
+           <code class="sig-name descname">
+            Info
+           </code>
+           <em class="property">
+            = LogLevel.INFO
+           </em>
+           <a class="headerlink" href="#trtorch.logging.Level.Info" title="Permalink to this definition">
+            ¶
+           </a>
+          </dt>
+          <dd>
+          </dd>
+         </dl>
+         <dl class="py attribute">
+          <dt id="trtorch.logging.Level.InternalError">
+           <code class="sig-name descname">
+            InternalError
+           </code>
+           <em class="property">
+            = LogLevel.INTERNAL_ERROR
+           </em>
+           <a class="headerlink" href="#trtorch.logging.Level.InternalError" title="Permalink to this definition">
+            ¶
+           </a>
+          </dt>
+          <dd>
+          </dd>
+         </dl>
+         <dl class="py attribute">
+          <dt id="trtorch.logging.Level.Warning">
+           <code class="sig-name descname">
+            Warning
+           </code>
+           <em class="property">
+            = LogLevel.WARNING
+           </em>
+           <a class="headerlink" href="#trtorch.logging.Level.Warning" title="Permalink to this definition">
+            ¶
+           </a>
+          </dt>
+          <dd>
+          </dd>
+         </dl>
+        </dd>
+       </dl>
+       <dl class="py function">
+        <dt id="trtorch.logging.get_is_colored_output_on">
+         <code class="sig-prename descclassname">
+          trtorch.logging.
+         </code>
+         <code class="sig-name descname">
+          get_is_colored_output_on
+         </code>
+         <span class="sig-paren">
+          (
+         </span>
+         <span class="sig-paren">
+          )
+         </span>
+         → bool
+         <a class="headerlink" href="#trtorch.logging.get_is_colored_output_on" title="Permalink to this definition">
+          ¶
+         </a>
+        </dt>
+        <dd>
+         <p>
+          Get if colored output is enabled for logging
+         </p>
+         <dl class="field-list simple">
+          <dt class="field-odd">
+           Returns
+          </dt>
+          <dd class="field-odd">
+           <p>
+            If colored output is one
+           </p>
+          </dd>
+          <dt class="field-even">
+           Return type
+          </dt>
+          <dd class="field-even">
+           <p>
+            bool
+           </p>
+          </dd>
+         </dl>
+        </dd>
+       </dl>
+       <dl class="py function">
+        <dt id="trtorch.logging.get_logging_prefix">
+         <code class="sig-prename descclassname">
+          trtorch.logging.
+         </code>
+         <code class="sig-name descname">
+          get_logging_prefix
+         </code>
+         <span class="sig-paren">
+          (
+         </span>
+         <span class="sig-paren">
+          )
+         </span>
+         → str
+         <a class="headerlink" href="#trtorch.logging.get_logging_prefix" title="Permalink to this definition">
+          ¶
+         </a>
+        </dt>
+        <dd>
+         <p>
+          Get the prefix set for logging messages
+         </p>
+         <dl class="field-list simple">
+          <dt class="field-odd">
+           Returns
+          </dt>
+          <dd class="field-odd">
+           <p>
+            Prefix used for logger
+           </p>
+          </dd>
+          <dt class="field-even">
+           Return type
+          </dt>
+          <dd class="field-even">
+           <p>
+            str
+           </p>
+          </dd>
+         </dl>
+        </dd>
+       </dl>
+       <dl class="py function">
+        <dt id="trtorch.logging.get_reportable_log_level">
+         <code class="sig-prename descclassname">
+          trtorch.logging.
+         </code>
+         <code class="sig-name descname">
+          get_reportable_log_level
+         </code>
+         <span class="sig-paren">
+          (
+         </span>
+         <span class="sig-paren">
+          )
+         </span>
+         →
+         <a class="reference internal" href="#trtorch.logging.Level" title="trtorch.logging.Level">
+          trtorch.logging.Level
+         </a>
+         <a class="headerlink" href="#trtorch.logging.get_reportable_log_level" title="Permalink to this definition">
+          ¶
+         </a>
+        </dt>
+        <dd>
+         <p>
+          Get the level required for a message to be printed in the log
+         </p>
+         <dl class="field-list simple">
+          <dt class="field-odd">
+           Returns
+          </dt>
+          <dd class="field-odd">
+           <p>
+            The enum representing the level required to print
+           </p>
+          </dd>
+          <dt class="field-even">
+           Return type
+          </dt>
+          <dd class="field-even">
+           <p>
+            <a class="reference internal" href="#trtorch.logging.Level" title="trtorch.logging.Level">
+             trtorch.logging.Level
+            </a>
+           </p>
+          </dd>
+         </dl>
+        </dd>
+       </dl>
+       <dl class="py function">
+        <dt id="trtorch.logging.log">
+         <code class="sig-prename descclassname">
+          trtorch.logging.
+         </code>
+         <code class="sig-name descname">
+          log
+         </code>
+         <span class="sig-paren">
+          (
+         </span>
+         <em class="sig-param">
+          <span class="n">
+           level
+          </span>
+          <span class="p">
+           :
+          </span>
+          <span class="n">
+           <a class="reference internal" href="#trtorch.logging.Level" title="trtorch.logging.Level">
+            trtorch.logging.Level
+           </a>
+          </span>
+         </em>
+         ,
+         <em class="sig-param">
+          <span class="n">
+           msg
+          </span>
+          <span class="p">
+           :
+          </span>
+          <span class="n">
+           str
+          </span>
+         </em>
+         <span class="sig-paren">
+          )
+         </span>
+         <a class="headerlink" href="#trtorch.logging.log" title="Permalink to this definition">
+          ¶
+         </a>
+        </dt>
+        <dd>
+         <p>
+          Add a new message to the log
+         </p>
+         <p>
+          Adds a new message to the log at a specified level. The message
+will only get printed out if Level &gt; reportable_log_level
+         </p>
+         <dl class="field-list simple">
+          <dt class="field-odd">
+           Parameters
+          </dt>
+          <dd class="field-odd">
+           <ul class="simple">
+            <li>
+             <p>
+              <strong>
+               level
+              </strong>
+              (
+              <a class="reference internal" href="#trtorch.logging.Level" title="trtorch.logging.Level">
+               <em>
+                trtorch.logging.Level
+               </em>
+              </a>
+              ) – Severity of the message
+             </p>
+            </li>
+            <li>
+             <p>
+              <strong>
+               msg
+              </strong>
+              (
+              <em>
+               str
+              </em>
+              ) – Actual message text
+             </p>
+            </li>
+           </ul>
+          </dd>
+         </dl>
+        </dd>
+       </dl>
+       <dl class="py function">
+        <dt id="trtorch.logging.set_is_colored_output_on">
+         <code class="sig-prename descclassname">
+          trtorch.logging.
+         </code>
+         <code class="sig-name descname">
+          set_is_colored_output_on
+         </code>
+         <span class="sig-paren">
+          (
+         </span>
+         <em class="sig-param">
+          <span class="n">
+           colored_output_on
+          </span>
+          <span class="p">
+           :
+          </span>
+          <span class="n">
+           bool
+          </span>
+         </em>
+         <span class="sig-paren">
+          )
+         </span>
+         <a class="headerlink" href="#trtorch.logging.set_is_colored_output_on" title="Permalink to this definition">
+          ¶
+         </a>
+        </dt>
+        <dd>
+         <p>
+          Enable or disable color in the log output
+         </p>
+         <dl class="field-list simple">
+          <dt class="field-odd">
+           Parameters
+          </dt>
+          <dd class="field-odd">
+           <p>
+            <strong>
+             colored_output_on
+            </strong>
+            (
+            <em>
+             bool
+            </em>
+            ) – If colored output should be enabled or not
+           </p>
+          </dd>
+         </dl>
+        </dd>
+       </dl>
+       <dl class="py function">
+        <dt id="trtorch.logging.set_logging_prefix">
+         <code class="sig-prename descclassname">
+          trtorch.logging.
+         </code>
+         <code class="sig-name descname">
+          set_logging_prefix
+         </code>
+         <span class="sig-paren">
+          (
+         </span>
+         <em class="sig-param">
+          <span class="n">
+           prefix
+          </span>
+          <span class="p">
+           :
+          </span>
+          <span class="n">
+           str
+          </span>
+         </em>
+         <span class="sig-paren">
+          )
+         </span>
+         <a class="headerlink" href="#trtorch.logging.set_logging_prefix" title="Permalink to this definition">
+          ¶
+         </a>
+        </dt>
+        <dd>
+         <p>
+          Set the prefix used when logging messages
+         </p>
+         <dl class="field-list simple">
+          <dt class="field-odd">
+           Parameters
+          </dt>
+          <dd class="field-odd">
+           <p>
+            <strong>
+             prefix
+            </strong>
+            (
+            <em>
+             str
+            </em>
+            ) – Prefix to use for logging messages
+           </p>
+          </dd>
+         </dl>
+        </dd>
+       </dl>
+       <dl class="py function">
+        <dt id="trtorch.logging.set_reportable_log_level">
+         <code class="sig-prename descclassname">
+          trtorch.logging.
+         </code>
+         <code class="sig-name descname">
+          set_reportable_log_level
+         </code>
+         <span class="sig-paren">
+          (
+         </span>
+         <em class="sig-param">
+          <span class="n">
+           level
+          </span>
+          <span class="p">
+           :
+          </span>
+          <span class="n">
+           <a class="reference internal" href="#trtorch.logging.Level" title="trtorch.logging.Level">
+            trtorch.logging.Level
+           </a>
+          </span>
+         </em>
+         <span class="sig-paren">
+          )
+         </span>
+         <a class="headerlink" href="#trtorch.logging.set_reportable_log_level" title="Permalink to this definition">
+          ¶
+         </a>
+        </dt>
+        <dd>
+         <p>
+          Set the level required for a message to be printed to the log
+         </p>
+         <dl class="field-list simple">
+          <dt class="field-odd">
+           Parameters
+          </dt>
+          <dd class="field-odd">
+           <p>
+            <strong>
+             level
+            </strong>
+            (
+            <a class="reference internal" href="#trtorch.logging.Level" title="trtorch.logging.Level">
+             <em>
+              trtorch.logging.Level
+             </em>
+            </a>
+            ) – The enum representing the level required to print
+           </p>
+          </dd>
+         </dl>
+        </dd>
+       </dl>
       </article>
      </div>
     </div>
diff --git a/docs/py_api/trtorch.html b/docs/py_api/trtorch.html
index 5ff341823a..fb8d152a53 100644
--- a/docs/py_api/trtorch.html
+++ b/docs/py_api/trtorch.html
@@ -539,6 +539,8 @@
      </div>
      <div class="md-content">
       <article class="md-content__inner md-typeset" role="main">
+       <span id="trtorch">
+       </span>
        <span id="trtorch-py">
        </span>
        <h1 id="py-api-trtorch--page-root">
@@ -553,12 +555,621 @@ <h2 id="functions">
          ¶
         </a>
        </h2>
+       <dl class="py function">
+        <dt id="trtorch.compile">
+         <code class="sig-prename descclassname">
+          trtorch.
+         </code>
+         <code class="sig-name descname">
+          compile
+         </code>
+         <span class="sig-paren">
+          (
+         </span>
+         <em class="sig-param">
+          <span class="n">
+           module
+          </span>
+          <span class="p">
+           :
+          </span>
+          <span class="n">
+           torch.jit.ScriptModule
+          </span>
+         </em>
+         ,
+         <em class="sig-param">
+          <span class="n">
+           extra_info
+          </span>
+          <span class="p">
+           :
+          </span>
+          <span class="n">
+           Any
+          </span>
+         </em>
+         <span class="sig-paren">
+          )
+         </span>
+         → torch.jit.ScriptModule
+         <a class="headerlink" href="#trtorch.compile" title="Permalink to this definition">
+          ¶
+         </a>
+        </dt>
+        <dd>
+         <p>
+          Compile a TorchScript module for NVIDIA GPUs using TensorRT
+         </p>
+         <p>
+          Takes a existing TorchScript module and a set of settings to configure the compiler
+and will convert methods to JIT Graphs which call equivalent TensorRT engines
+         </p>
+         <p>
+          Converts specifically the forward method of a TorchScript Module
+         </p>
+         <dl class="field-list simple">
+          <dt class="field-odd">
+           Parameters
+          </dt>
+          <dd class="field-odd">
+           <ul class="simple">
+            <li>
+             <p>
+              <strong>
+               module
+              </strong>
+              (
+              <em>
+               torch.jit.ScriptModule
+              </em>
+              ) – Source module, a result of tracing or scripting a PyTorch
+              <code class="docutils literal notranslate">
+               <span class="pre">
+                torch.nn.Module
+               </span>
+              </code>
+             </p>
+            </li>
+            <li>
+             <p>
+              <strong>
+               extra_info
+              </strong>
+              (
+              <em>
+               dict
+              </em>
+              ) –
+             </p>
+             <p>
+              Compilation settings including operating precision, target device, etc.
+One key is required which is
+              <code class="docutils literal notranslate">
+               <span class="pre">
+                input_shapes
+               </span>
+              </code>
+              , describing the input sizes or ranges for inputs
+to the graph. All other keys are optional
+             </p>
+             <div class="highlight-py notranslate">
+              <div class="highlight">
+               <pre><span></span><span class="n">ExtraInfo</span> <span class="o">=</span> <span class="p">{</span>
+    <span class="s2">"input_shapes"</span><span class="p">:</span> <span class="p">[</span>
+        <span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">224</span><span class="p">,</span> <span class="mi">224</span><span class="p">),</span> <span class="c1"># Static input shape for input #1</span>
+        <span class="p">{</span>
+            <span class="s2">"min"</span><span class="p">:</span> <span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">224</span><span class="p">,</span> <span class="mi">224</span><span class="p">),</span>
+            <span class="s2">"opt"</span><span class="p">:</span> <span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">512</span><span class="p">,</span> <span class="mi">512</span><span class="p">),</span>
+            <span class="s2">"max"</span><span class="p">:</span> <span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">1024</span><span class="p">,</span> <span class="mi">1024</span><span class="p">)</span>
+        <span class="p">}</span> <span class="c1"># Dynamic input shape for input #2</span>
+    <span class="p">],</span>
+    <span class="s2">"op_precision"</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">half</span><span class="p">,</span> <span class="c1"># Operating precision set to FP16</span>
+    <span class="s2">"refit"</span><span class="p">:</span> <span class="n">false</span><span class="p">,</span> <span class="c1"># enable refit</span>
+    <span class="s2">"debug"</span><span class="p">:</span> <span class="n">false</span><span class="p">,</span> <span class="c1"># enable debuggable engine</span>
+    <span class="s2">"strict_types"</span><span class="p">:</span> <span class="n">false</span><span class="p">,</span> <span class="c1"># kernels should strictly run in operating precision</span>
+    <span class="s2">"allow_gpu_fallback"</span><span class="p">:</span> <span class="n">false</span><span class="p">,</span> <span class="c1"># (DLA only) Allow layers unsupported on DLA to run on GPU</span>
+    <span class="s2">"device"</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">device</span><span class="p">(</span><span class="s2">"cuda"</span><span class="p">),</span> <span class="c1"># Type of device to run engine on (for DLA use trtorch.DeviceType.DLA)</span>
+    <span class="s2">"capability"</span><span class="p">:</span> <span class="n">trtorch</span><span class="o">.</span><span class="n">EngineCapability</span><span class="o">.</span><span class="n">DEFAULT</span><span class="p">,</span> <span class="c1"># Restrict kernel selection to safe gpu kernels or safe dla kernels</span>
+    <span class="s2">"num_min_timing_iters"</span><span class="p">:</span> <span class="mi">2</span><span class="p">,</span> <span class="c1"># Number of minimization timing iterations used to select kernels</span>
+    <span class="s2">"num_avg_timing_iters"</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span> <span class="c1"># Number of averaging timing iterations used to select kernels</span>
+    <span class="s2">"workspace_size"</span><span class="p">:</span> <span class="mi">0</span><span class="p">,</span> <span class="c1"># Maximum size of workspace given to TensorRT</span>
+    <span class="s2">"max_batch_size"</span><span class="p">:</span> <span class="mi">0</span><span class="p">,</span> <span class="c1"># Maximum batch size (must be &gt;= 1 to be set, 0 means not set)</span>
+<span class="p">}</span>
+</pre>
+              </div>
+             </div>
+             <p>
+              Input Sizes can be specified as torch sizes, tuples or lists. Op precisions can be specified using
+torch datatypes or trtorch datatypes and you can use either torch devices or the trtorch device type enum
+to select device type.
+             </p>
+            </li>
+           </ul>
+          </dd>
+          <dt class="field-even">
+           Returns
+          </dt>
+          <dd class="field-even">
+           <p>
+            Compiled TorchScript Module, when run it will execute via TensorRT
+           </p>
+          </dd>
+          <dt class="field-odd">
+           Return type
+          </dt>
+          <dd class="field-odd">
+           <p>
+            torch.jit.ScriptModule
+           </p>
+          </dd>
+         </dl>
+        </dd>
+       </dl>
+       <dl class="py function">
+        <dt id="trtorch.convert_method_to_trt_engine">
+         <code class="sig-prename descclassname">
+          trtorch.
+         </code>
+         <code class="sig-name descname">
+          convert_method_to_trt_engine
+         </code>
+         <span class="sig-paren">
+          (
+         </span>
+         <em class="sig-param">
+          <span class="n">
+           module
+          </span>
+          <span class="p">
+           :
+          </span>
+          <span class="n">
+           torch.jit.ScriptModule
+          </span>
+         </em>
+         ,
+         <em class="sig-param">
+          <span class="n">
+           method_name
+          </span>
+          <span class="p">
+           :
+          </span>
+          <span class="n">
+           str
+          </span>
+         </em>
+         ,
+         <em class="sig-param">
+          <span class="n">
+           extra_info
+          </span>
+          <span class="p">
+           :
+          </span>
+          <span class="n">
+           Any
+          </span>
+         </em>
+         <span class="sig-paren">
+          )
+         </span>
+         → str
+         <a class="headerlink" href="#trtorch.convert_method_to_trt_engine" title="Permalink to this definition">
+          ¶
+         </a>
+        </dt>
+        <dd>
+         <p>
+          Convert a TorchScript module method to a serialized TensorRT engine
+         </p>
+         <p>
+          Converts a specified method of a module to a serialized TensorRT engine given a dictionary of conversion settings
+         </p>
+         <dl class="field-list simple">
+          <dt class="field-odd">
+           Parameters
+          </dt>
+          <dd class="field-odd">
+           <ul class="simple">
+            <li>
+             <p>
+              <strong>
+               module
+              </strong>
+              (
+              <em>
+               torch.jit.ScriptModule
+              </em>
+              ) – Source module, a result of tracing or scripting a PyTorch
+              <code class="docutils literal notranslate">
+               <span class="pre">
+                torch.nn.Module
+               </span>
+              </code>
+             </p>
+            </li>
+            <li>
+             <p>
+              <strong>
+               method_name
+              </strong>
+              (
+              <em>
+               str
+              </em>
+              ) – Name of method to convert
+             </p>
+            </li>
+            <li>
+             <p>
+              <strong>
+               extra_info
+              </strong>
+              (
+              <em>
+               dict
+              </em>
+              ) –
+             </p>
+             <p>
+              Compilation settings including operating precision, target device, etc.
+One key is required which is
+              <code class="docutils literal notranslate">
+               <span class="pre">
+                input_shapes
+               </span>
+              </code>
+              , describing the input sizes or ranges for inputs
+to the graph. All other keys are optional
+             </p>
+             <div class="highlight-py notranslate">
+              <div class="highlight">
+               <pre><span></span><span class="n">ExtraInfo</span> <span class="o">=</span> <span class="p">{</span>
+    <span class="s2">"input_shapes"</span><span class="p">:</span> <span class="p">[</span>
+        <span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">224</span><span class="p">,</span> <span class="mi">224</span><span class="p">),</span> <span class="c1"># Static input shape for input #1</span>
+        <span class="p">{</span>
+            <span class="s2">"min"</span><span class="p">:</span> <span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">224</span><span class="p">,</span> <span class="mi">224</span><span class="p">),</span>
+            <span class="s2">"opt"</span><span class="p">:</span> <span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">512</span><span class="p">,</span> <span class="mi">512</span><span class="p">),</span>
+            <span class="s2">"max"</span><span class="p">:</span> <span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">1024</span><span class="p">,</span> <span class="mi">1024</span><span class="p">)</span>
+        <span class="p">}</span> <span class="c1"># Dynamic input shape for input #2</span>
+    <span class="p">],</span>
+    <span class="s2">"op_precision"</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">half</span><span class="p">,</span> <span class="c1"># Operating precision set to FP16</span>
+    <span class="s2">"refit"</span><span class="p">:</span> <span class="n">false</span><span class="p">,</span> <span class="c1"># enable refit</span>
+    <span class="s2">"debug"</span><span class="p">:</span> <span class="n">false</span><span class="p">,</span> <span class="c1"># enable debuggable engine</span>
+    <span class="s2">"strict_types"</span><span class="p">:</span> <span class="n">false</span><span class="p">,</span> <span class="c1"># kernels should strictly run in operating precision</span>
+    <span class="s2">"allow_gpu_fallback"</span><span class="p">:</span> <span class="n">false</span><span class="p">,</span> <span class="c1"># (DLA only) Allow layers unsupported on DLA to run on GPU</span>
+    <span class="s2">"device"</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">device</span><span class="p">(</span><span class="s2">"cuda"</span><span class="p">),</span> <span class="c1"># Type of device to run engine on (for DLA use trtorch.DeviceType.DLA)</span>
+    <span class="s2">"capability"</span><span class="p">:</span> <span class="n">trtorch</span><span class="o">.</span><span class="n">EngineCapability</span><span class="o">.</span><span class="n">DEFAULT</span><span class="p">,</span> <span class="c1"># Restrict kernel selection to safe gpu kernels or safe dla kernels</span>
+    <span class="s2">"num_min_timing_iters"</span><span class="p">:</span> <span class="mi">2</span><span class="p">,</span> <span class="c1"># Number of minimization timing iterations used to select kernels</span>
+    <span class="s2">"num_avg_timing_iters"</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span> <span class="c1"># Number of averaging timing iterations used to select kernels</span>
+    <span class="s2">"workspace_size"</span><span class="p">:</span> <span class="mi">0</span><span class="p">,</span> <span class="c1"># Maximum size of workspace given to TensorRT</span>
+    <span class="s2">"max_batch_size"</span><span class="p">:</span> <span class="mi">0</span><span class="p">,</span> <span class="c1"># Maximum batch size (must be &gt;= 1 to be set, 0 means not set)</span>
+<span class="p">}</span>
+</pre>
+              </div>
+             </div>
+             <p>
+              Input Sizes can be specified as torch sizes, tuples or lists. Op precisions can be specified using
+torch datatypes or trtorch datatypes and you can use either torch devices or the trtorch device type enum
+to select device type.
+             </p>
+            </li>
+           </ul>
+          </dd>
+          <dt class="field-even">
+           Returns
+          </dt>
+          <dd class="field-even">
+           <p>
+            Serialized TensorRT engine, can either be saved to a file or deserialized via TensorRT APIs
+           </p>
+          </dd>
+          <dt class="field-odd">
+           Return type
+          </dt>
+          <dd class="field-odd">
+           <p>
+            bytes
+           </p>
+          </dd>
+         </dl>
+        </dd>
+       </dl>
+       <dl class="py function">
+        <dt id="trtorch.check_method_op_support">
+         <code class="sig-prename descclassname">
+          trtorch.
+         </code>
+         <code class="sig-name descname">
+          check_method_op_support
+         </code>
+         <span class="sig-paren">
+          (
+         </span>
+         <em class="sig-param">
+          <span class="n">
+           module
+          </span>
+          <span class="p">
+           :
+          </span>
+          <span class="n">
+           torch.jit.ScriptModule
+          </span>
+         </em>
+         ,
+         <em class="sig-param">
+          <span class="n">
+           method_name
+          </span>
+          <span class="p">
+           :
+          </span>
+          <span class="n">
+           str
+          </span>
+         </em>
+         <span class="sig-paren">
+          )
+         </span>
+         → bool
+         <a class="headerlink" href="#trtorch.check_method_op_support" title="Permalink to this definition">
+          ¶
+         </a>
+        </dt>
+        <dd>
+         <p>
+          Checks to see if a method is fully supported by TRTorch
+         </p>
+         <p>
+          Checks if a method of a TorchScript module can be compiled by TRTorch, if not, a list of operators
+that are not supported are printed out and the function returns false, else true.
+         </p>
+         <dl class="field-list simple">
+          <dt class="field-odd">
+           Parameters
+          </dt>
+          <dd class="field-odd">
+           <ul class="simple">
+            <li>
+             <p>
+              <strong>
+               module
+              </strong>
+              (
+              <em>
+               torch.jit.ScriptModule
+              </em>
+              ) – Source module, a result of tracing or scripting a PyTorch
+              <code class="docutils literal notranslate">
+               <span class="pre">
+                torch.nn.Module
+               </span>
+              </code>
+             </p>
+            </li>
+            <li>
+             <p>
+              <strong>
+               method_name
+              </strong>
+              (
+              <em>
+               str
+              </em>
+              ) – Name of method to check
+             </p>
+            </li>
+           </ul>
+          </dd>
+          <dt class="field-even">
+           Returns
+          </dt>
+          <dd class="field-even">
+           <p>
+            True if supported Method
+           </p>
+          </dd>
+          <dt class="field-odd">
+           Return type
+          </dt>
+          <dd class="field-odd">
+           <p>
+            bool
+           </p>
+          </dd>
+         </dl>
+        </dd>
+       </dl>
+       <dl class="py function">
+        <dt id="trtorch.dump_build_info">
+         <code class="sig-prename descclassname">
+          trtorch.
+         </code>
+         <code class="sig-name descname">
+          dump_build_info
+         </code>
+         <span class="sig-paren">
+          (
+         </span>
+         <span class="sig-paren">
+          )
+         </span>
+         <a class="headerlink" href="#trtorch.dump_build_info" title="Permalink to this definition">
+          ¶
+         </a>
+        </dt>
+        <dd>
+         <p>
+          Prints build information about the TRTorch distribution to stdout
+         </p>
+        </dd>
+       </dl>
+       <dl class="py function">
+        <dt id="trtorch.get_build_info">
+         <code class="sig-prename descclassname">
+          trtorch.
+         </code>
+         <code class="sig-name descname">
+          get_build_info
+         </code>
+         <span class="sig-paren">
+          (
+         </span>
+         <span class="sig-paren">
+          )
+         </span>
+         → str
+         <a class="headerlink" href="#trtorch.get_build_info" title="Permalink to this definition">
+          ¶
+         </a>
+        </dt>
+        <dd>
+         <p>
+          Returns a string containing the build information of TRTorch distribution
+         </p>
+         <dl class="field-list simple">
+          <dt class="field-odd">
+           Returns
+          </dt>
+          <dd class="field-odd">
+           <p>
+            String containing the build information for TRTorch distribution
+           </p>
+          </dd>
+          <dt class="field-even">
+           Return type
+          </dt>
+          <dd class="field-even">
+           <p>
+            str
+           </p>
+          </dd>
+         </dl>
+        </dd>
+       </dl>
        <h2 id="enums">
         Enums
         <a class="headerlink" href="#enums" title="Permalink to this headline">
          ¶
         </a>
        </h2>
+       <dl class="py class">
+        <dt id="trtorch.dtype">
+         <em class="property">
+          class
+         </em>
+         <code class="sig-prename descclassname">
+          trtorch.
+         </code>
+         <code class="sig-name descname">
+          dtype
+         </code>
+         <a class="headerlink" href="#trtorch.dtype" title="Permalink to this definition">
+          ¶
+         </a>
+        </dt>
+        <dd>
+         <p>
+          Enum to specifiy operating precision for engine execution
+         </p>
+         <p>
+          Members:
+         </p>
+         <blockquote>
+          <div>
+           <p>
+            float : 32 bit floating point number
+           </p>
+           <p>
+            float32 : 32 bit floating point number
+           </p>
+           <p>
+            half : 16 bit floating point number
+           </p>
+           <p>
+            float16 : 16 bit floating point number
+           </p>
+           <p>
+            int8 : 8 bit integer number
+           </p>
+          </div>
+         </blockquote>
+        </dd>
+       </dl>
+       <dl class="py class">
+        <dt id="trtorch.DeviceType">
+         <em class="property">
+          class
+         </em>
+         <code class="sig-prename descclassname">
+          trtorch.
+         </code>
+         <code class="sig-name descname">
+          DeviceType
+         </code>
+         <a class="headerlink" href="#trtorch.DeviceType" title="Permalink to this definition">
+          ¶
+         </a>
+        </dt>
+        <dd>
+         <p>
+          Enum to specify device kinds to build TensorRT engines for
+         </p>
+         <p>
+          Members:
+         </p>
+         <blockquote>
+          <div>
+           <p>
+            gpu : Specify using GPU to execute TensorRT Engine
+           </p>
+           <p>
+            dla : Specify using DLA to execute TensorRT Engine (Jetson Only)
+           </p>
+          </div>
+         </blockquote>
+        </dd>
+       </dl>
+       <dl class="py class">
+        <dt id="trtorch.EngineCapability">
+         <em class="property">
+          class
+         </em>
+         <code class="sig-prename descclassname">
+          trtorch.
+         </code>
+         <code class="sig-name descname">
+          EngineCapability
+         </code>
+         <a class="headerlink" href="#trtorch.EngineCapability" title="Permalink to this definition">
+          ¶
+         </a>
+        </dt>
+        <dd>
+         <p>
+          Enum to specify engine capability settings (selections of kernels to meet safety requirements)
+         </p>
+         <p>
+          Members:
+         </p>
+         <blockquote>
+          <div>
+           <p>
+            safe_gpu : Use safety GPU kernels only
+           </p>
+           <p>
+            safe_dla : Use safety DLA kernels only
+           </p>
+           <p>
+            default : Use default behavior
+           </p>
+          </div>
+         </blockquote>
+        </dd>
+       </dl>
        <h2 id="submodules">
         Submodules
         <a class="headerlink" href="#submodules" title="Permalink to this headline">
diff --git a/docs/searchindex.js b/docs/searchindex.js
index 78dd849543..fd34c31dfb 100644
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\ No newline at end of file
diff --git a/docs/sitemap.xml b/docs/sitemap.xml
index 6f1d05bd1e..6618b47beb 100644
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+++ b/docs/sitemap.xml
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diff --git a/docsrc/conf.py b/docsrc/conf.py
index c2cc9c13f4..042e2095e5 100644
--- a/docsrc/conf.py
+++ b/docsrc/conf.py
@@ -10,9 +10,9 @@
 # add these directories to sys.path here. If the directory is relative to the
 # documentation root, use os.path.abspath to make it absolute, like shown here.
 #
-# import os
-# import sys
-# sys.path.insert(0, os.path.abspath('.'))
+import os
+import sys
+sys.path.append(os.path.join(os.path.dirname(__name__), '../py'))
 
 import sphinx_material
 # -- Project information -----------------------------------------------------
diff --git a/py/setup.py b/py/setup.py
index 0a5f3fa1c5..66ee067517 100644
--- a/py/setup.py
+++ b/py/setup.py
@@ -139,7 +139,6 @@ def run(self):
     cpp_extension.CUDAExtension('trtorch._C',
                                 ['trtorch/csrc/trtorch_py.cpp'],
                                 library_dirs=[
-                                    dir_path + '/trtorch/lib/libtrtorch.so',
                                     dir_path + '/trtorch/lib/'
                                 ],
                                 libraries=[
@@ -152,14 +151,14 @@ def run(self):
                                 extra_compile_args=[
                                     "-Wno-deprecated",
                                     "-Wno-deprecated-declarations",
-                                ] + ["-D_GLIBCXX_USE_CXX11_ABI=1"] if CXX11_ABI else ["-D_GLIBCXX_USE_CXX11_ABI=0"],
+                                ] + (["-D_GLIBCXX_USE_CXX11_ABI=1"] if CXX11_ABI else ["-D_GLIBCXX_USE_CXX11_ABI=0"]),
                                 extra_link_args=[
                                     "-Wno-deprecated",
                                     "-Wno-deprecated-declarations",
                                     "-Wl,--no-as-needed",
                                     "-ltrtorch",
                                     "-Wl,-rpath,$ORIGIN/lib"
-                                ] + ["-D_GLIBCXX_USE_CXX11_ABI=1"] if CXX11_ABI else ["-D_GLIBCXX_USE_CXX11_ABI=0"],
+                                ] + (["-D_GLIBCXX_USE_CXX11_ABI=1"] if CXX11_ABI else ["-D_GLIBCXX_USE_CXX11_ABI=0"]),
                                 undef_macros=[ "NDEBUG" ]
                             )
 ]