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Signed-off-by: TRTorch Github Bot <trtorch.github.bot@nvidia.com>
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2 changes: 1 addition & 1 deletion docs/_notebooks/Resnet50-example.html
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<p>
<img alt="9bb3b71d15c741f9a3fb753f975f4b15" src="http://developer.download.nvidia.com/compute/machine-learning/frameworks/nvidia_logo.png"/>
<img alt="8366dca5dcdc4d8587f5cdfec5fbaaf9" src="http://developer.download.nvidia.com/compute/machine-learning/frameworks/nvidia_logo.png"/>
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<section id="TRTorch-Getting-Started---ResNet-50">
<h1 id="notebooks-resnet50-example--page-root">
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2 changes: 1 addition & 1 deletion docs/_notebooks/lenet-getting-started.html
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<img alt="09c38e5a0e064378bfefba4adaf74e9a" src="http://developer.download.nvidia.com/compute/machine-learning/frameworks/nvidia_logo.png"/>
<img alt="32d564da22784a60bfc0e2310f1ef3c5" src="http://developer.download.nvidia.com/compute/machine-learning/frameworks/nvidia_logo.png"/>
</p>
<section id="TRTorch-Getting-Started---LeNet">
<h1 id="notebooks-lenet-getting-started--page-root">
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2 changes: 1 addition & 1 deletion docs/_notebooks/ssd-object-detection-demo.html
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<img alt="26139d30486a4f60a3fe986bafa0158f" src="http://developer.download.nvidia.com/compute/machine-learning/frameworks/nvidia_logo.png"/>
<img alt="0c89fd1b91e7470bb17027c901cd4cb3" src="http://developer.download.nvidia.com/compute/machine-learning/frameworks/nvidia_logo.png"/>
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<section id="Object-Detection-with-TRTorch-(SSD)">
<h1 id="notebooks-ssd-object-detection-demo--page-root">
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2 changes: 1 addition & 1 deletion docs/_notebooks/vgg-qat.html
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<p>
## 2. VGG16 Overview ### Very Deep Convolutional Networks for Large-Scale Image Recognition VGG is one of the earliest family of image classification networks that first used small (3x3) convolution filters and achieved significant improvements on ImageNet recognition challenge. The network architecture looks as follows
<img alt="9d25e51e4c8047b8a585c7fd2dc1b405" src="https://neurohive.io/wp-content/uploads/2018/11/vgg16-1-e1542731207177.png"/>
<img alt="db485e72215749b1b3e43387176ae5e4" src="https://neurohive.io/wp-content/uploads/2018/11/vgg16-1-e1542731207177.png"/>
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## 3. Training a baseline VGG16 model We train VGG16 on CIFAR10 dataset. Define training and testing datasets and dataloaders. This will download the CIFAR 10 data in your
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227 changes: 223 additions & 4 deletions docs/genindex.html
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Index
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_
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<table class="indextable genindextable" style="width: 100%">
<tr>
<td style="width: 33%; vertical-align: top;">
<ul>
<li>
<a href="py_api/trtorch.html#trtorch.Device.__init__">
__init__() (trtorch.Device method)
</a>
<ul>
<li>
<a href="py_api/trtorch.html#trtorch.Input.__init__">
(trtorch.Input method)
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</ul>
</li>
</ul>
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<h2 id="A">
A
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<table class="indextable genindextable" style="width: 100%">
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<td style="width: 33%; vertical-align: top;">
<ul>
<li>
<a href="py_api/trtorch.html#trtorch.Device.allow_gpu_fallback">
allow_gpu_fallback (trtorch.Device attribute)
</a>
</li>
</ul>
</td>
</tr>
</table>
<h2 id="C">
C
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<table class="indextable genindextable" style="width: 100%">
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<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>
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<td style="width: 33%; vertical-align: top;">
<ul>
<li>
<a href="py_api/trtorch.html#trtorch.compile">
compile() (in module trtorch)
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</li>
<li>
<a href="py_api/trtorch.html#trtorch.convert_method_to_trt_engine">
convert_method_to_trt_engine() (in module trtorch)
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D
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Debug (trtorch.logging.Level attribute)
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<a href="py_api/trtorch.html#trtorch.Device">
Device (class in trtorch)
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<a href="py_api/trtorch.html#trtorch.Device.device_type">
device_type (trtorch.Device attribute)
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<a href="py_api/trtorch.html#trtorch.DeviceType">
DeviceType (class in trtorch)
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<td style="width: 33%; vertical-align: top;">
<ul>
<li>
<a href="py_api/trtorch.html#trtorch.Device.dla_core">
dla_core (trtorch.Device attribute)
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</li>
<li>
<a href="py_api/trtorch.html#trtorch.dtype">
dtype (class in trtorch)
</a>
<ul>
<li>
<a href="py_api/trtorch.html#trtorch.Input.dtype">
(trtorch.Input attribute)
</a>
</li>
</ul>
</li>
<li>
<a href="py_api/trtorch.html#trtorch.dump_build_info">
dump_build_info() (in module trtorch)
</a>
</li>
</ul>
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<td style="width: 33%; vertical-align: top;">
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<a href="py_api/trtorch.html#trtorch.embed_engine_in_new_module">
embed_engine_in_new_module() (in module trtorch)
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</li>
</ul>
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<td style="width: 33%; vertical-align: top;">
<ul>
<li>
<a href="py_api/trtorch.html#trtorch.EngineCapability">
EngineCapability (class in trtorch)
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<li>
<a href="py_api/logging.html#trtorch.logging.Level.Error">
Error (trtorch.logging.Level attribute)
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F
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<table class="indextable genindextable" style="width: 100%">
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<td style="width: 33%; vertical-align: top;">
<ul>
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<a href="py_api/trtorch.html#trtorch.Input.format">
format (trtorch.Input attribute)
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</li>
</ul>
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<h2 id="G">
G
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<table class="indextable genindextable" style="width: 100%">
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<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)
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get_reportable_log_level() (in module trtorch.logging)
</a>
</li>
<li>
<a href="py_api/trtorch.html#trtorch.Device.gpu_id">
gpu_id (trtorch.Device attribute)
</a>
</li>
<li>
<a href="py_api/logging.html#trtorch.logging.Level.Graph">
Graph (trtorch.logging.Level attribute)
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<td style="width: 33%; vertical-align: top;">
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<a href="py_api/trtorch.html#trtorch.Input">
Input (class in trtorch)
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<li>
<a href="py_api/logging.html#trtorch.logging.Level.InternalError">
InternalError (trtorch.logging.Level attribute)
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module
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<a href="py_api/trtorch.html#module-trtorch">
trtorch
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<a href="py_api/logging.html#module-trtorch.logging">
trtorch.logging
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<td style="width: 33%; vertical-align: top;">
<ul>
<li>
<a href="py_api/trtorch.html#trtorch.set_device">
set_device() (in module trtorch)
</a>
</li>
<li>
<a href="py_api/logging.html#trtorch.logging.set_is_colored_output_on">
set_is_colored_output_on() (in module trtorch.logging)
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set_reportable_log_level() (in module trtorch.logging)
</a>
</li>
<li>
<a href="py_api/trtorch.html#trtorch.Input.shape">
shape (trtorch.Input attribute)
</a>
</li>
<li>
<a href="py_api/trtorch.html#trtorch.Input.shape_mode">
shape_mode (trtorch.Input attribute)
</a>
</li>
<li>
<a href="_cpp_api/define_macros_8h_1a18d295a837ac71add5578860b55e5502.html#c.STR">
STR (C macro)
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<td style="width: 33%; vertical-align: top;">
<ul>
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<a href="py_api/trtorch.html#trtorch.TensorFormat">
TensorFormat (class in trtorch)
</a>
</li>
<li>
<a href="py_api/trtorch.html#trtorch.TensorRTCompileSpec">
TensorRTCompileSpec() (in module trtorch)
</a>
</li>
<li>
trtorch
<ul>
<li>
<a href="py_api/trtorch.html#module-trtorch">
module
</a>
</li>
</ul>
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<li>
trtorch.logging
<ul>
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trtorch::CompileSpec::num_min_timing_iters (C++ member)
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<td style="width: 33%; vertical-align: top;">
<ul>
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<a href="_cpp_api/structtrtorch_1_1CompileSpec.html#_CPPv4N7trtorch11CompileSpec14ptq_calibratorE">
trtorch::CompileSpec::ptq_calibrator (C++ member)
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trtorch::CompileSpec::refit (C++ member)
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<td style="width: 33%; vertical-align: top;">
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<a href="_cpp_api/structtrtorch_1_1CompileSpec.html#_CPPv4N7trtorch11CompileSpec24require_full_compilationE">
trtorch::CompileSpec::require_full_compilation (C++ member)
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8 changes: 5 additions & 3 deletions docs/py-modindex.html
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</td>
<td>
<code class="xref">
trtorch
</code>
<a href="py_api/trtorch.html#module-trtorch">
<code class="xref">
trtorch
</code>
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<td>
<em>
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