Announcing TensorRT integration with TensorFlow 1.7- Google Developers Blog

This post announces the integration of TensorRT with TensorFlow 1.7. TensorRT is a platform for high-performance deep learning inference, and its integration with TensorFlow allows for optimized inference on NVIDIA GPUs. The integration provides a new `tf.contrib.tensorrt` module, enabling users to convert TensorFlow models into TensorRT-optimized graphs for faster execution. The post highlights performance gains achieved through this integration and provides guidance on how to use the new module.