e the required computational resources for inference
while still preserving the accuracy of your model by mapping the traditional FP32 activation space to a reduced
INT8 space. TensorRT uses a calibration step which executes your model with sample data from the target domain
and track the activations in FP32 to calibrate a mapping to INT8 that minimizes the information loss between
FP32 inference and INT8 inference.
       </p>
       <p>
        Users writing TensorRT applications are required to setup a c