xed-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">
          torch_tensorrt
         </span>
        </code>
        supports compilation of TorchScript Module and deployment pipeline on the DLA hardwa