Deployment Toolkit - Intel Deep Learning
: A Python-based cross-platform tool that converts trained models from popular frameworks like TensorFlow , PyTorch, and Caffe into an Intermediate Representation (IR) . This IR consists of .xml (topology) and .bin (weights) files optimized for Intel architecture.
Assume you have an ONNX export of your PyTorch model: intel deep learning deployment toolkit
I tested a standard ResNet-50 image classification model on a standard Intel Xeon Platinum processor. : A Python-based cross-platform tool that converts trained
The toolkit solves one simple problem:
As a primary component of the , DLDT provides the essential tools to optimize neural networks for speed, efficiency, and a smaller memory footprint. Core Components of the Toolkit intel deep learning deployment toolkit
The DLDT consists of two main pillars that handle the preparation and execution of deep learning models:
