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<span id="using-dla">
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<h1 id="tutorials-using-dla--page-root">
DLA
<a class="headerlink" href="#tutorials-using-dla--page-root" title="Permalink to this headline">
¶
</a>
</h1>
<p>
<code class="docutils literal notranslate">
<span class="pre">
DLA
</span>
</code>
NVIDIA Deep Learning Accelerator is a fixed-function accelerator engine targeted for deep learning operations. DLA is designed to do full hardware acceleration of convolutional neural networks. DLA supports various layers such as convolution, deconvolution, fully-connected, activation, pooling, batch normalization, etc.
<code class="docutils literal notranslate">
<span class="pre">
trtorch
</span>
</code>
supports compilation of TorchScript Module and deployment pipeline on the DLA hardware available on NVIDIA embedded platforms.
</p>
<p>
NOTE: DLA supports fp16 and int8 precision only.
</p>
<p>
Using DLA with trtorchc
</p>
<div class="highlight-shell notranslate">
<div class="highlight">
<pre><span></span>trtorchc <span class="o">[</span>input_file_path<span class="o">]</span> <span class="o">[</span>output_file_path<span class="o">]</span> <span class="o">[</span>input_shapes...<span class="o">]</span> -p f16 -d dla <span class="o">{</span>OPTIONS<span class="o">}</span>
</pre>
</div>
</div>
<p>
Using DLA in a C++ application
</p>
<div class="highlight-shell notranslate">
<div class="highlight">
<pre><span></span>std::vector<std::vector<int64_t>> <span class="nv">input_shape</span> <span class="o">=</span> <span class="o">{{</span><span class="m">32</span>, <span class="m">3</span>, <span class="m">32</span>, <span class="m">32</span><span class="o">}}</span><span class="p">;</span>
auto <span class="nv">compile_spec</span> <span class="o">=</span> trtorch::CompileSpec<span class="o">({</span>input_shape<span class="o">})</span><span class="p">;</span>
<span class="c1"># Set a precision. DLA supports fp16 or int8 only</span>
compile_spec.op_precision <span class="o">=</span> torch::kF16<span class="p">;</span>
compile_spec.device.device_type <span class="o">=</span> trtorch::CompileSpec::DeviceType::kDLA<span class="p">;</span>
<span class="c1"># Make sure the gpu id is set to Xavier id for DLA</span>
compile_spec.device.gpu_id <span class="o">=</span> <span class="m">0</span><span class="p">;</span>
<span class="c1"># Set the DLA core id</span>
compile_spec.device.dla_core <span class="o">=</span> <span class="m">1</span><span class="p">;</span>
<span class="c1"># If a layer fails to run on DLA it will fallback to GPU</span>
compile_spec.device.allow_gpu_fallback <span class="o">=</span> true<span class="p">;</span>
<span class="c1"># Set the workspace size</span>
compile_spec.workspace_size <span class="o">=</span> <span class="m">1</span> << <span class="m">28</span><span class="p">;</span>
</pre>
</div>
</div>
<p>
Using DLA in a python application
</p>
<div class="highlight-shell notranslate">
<div class="highlight">
<pre><span></span><span class="nv">compile_spec</span> <span class="o">=</span> <span class="o">{</span>
<span class="s2">"input_shapes"</span>: <span class="o">[</span>self.input.shape<span class="o">]</span>,
<span class="s2">"device"</span>: <span class="o">{</span>
<span class="s2">"device_type"</span>: trtorch.DeviceType.DLA,
<span class="s2">"gpu_id"</span>: <span class="m">0</span>,
<span class="s2">"dla_core"</span>: <span class="m">0</span>,
<span class="s2">"allow_gpu_fallback"</span>: True
<span class="o">}</span>,
<span class="s2">"op_precision"</span>: torch.half
<span class="o">}</span>
<span class="nv">trt_mod</span> <span class="o">=</span> trtorch.compile<span class="o">(</span>self.scripted_model, compile_spec<span class="o">)</span>
</pre>
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