Intelligent Robot

※ 본 글은 아래의 예제을 test하며, 작성한 글입니다. https://github.com/tensorflow/tensorrt/blob/master/tftrt/examples/image_classification/NGC-TFv2-TF-TRT-inference-from-Keras-saved-model.ipynb GitHub - tensorflow/tensorrt: TensorFlow/TensorRT integration TensorFlow/TensorRT integration. Contribute to tensorflow/tensorrt development by creating an account on GitHub. github.com 1. Env. 아래의 Docker를 사용하였습니다. (colab과 ..

If you have Docker 19.03 or later, a typical command to launch the container is: $ docker run --gpus all -it --rm -v local_dir:container_dir nvcr.io/nvidia/pytorch:xx.xx-py3 If you have Docker 19.02 or earlier, a typical command to launch the container is: $ nvidia-docker run -it --rm -v local_dir:container_dir nvcr.io/nvidia/pytorch:xx.xx-py3 https://catalog.ngc.nvidia.com/orgs/nvidia/container..

If you have Docker 19.03 or later, a typical command to launch the container is: $ docker run --gpus all -it --rm -v local_dir:container_dir nvcr.io/nvidia/tensorflow:xx.xx-tfx-py3 If you have Docker 19.02 or earlier, a typical command to launch the container is: $ nvidia-docker run -it --rm -v local_dir:container_dir nvcr.io/nvidia/tensorflow:xx.xx-tfx-py3 https://catalog.ngc.nvidia.com/orgs/nv..

Table of Contents 1. TensorRT Overview 2. Pulling A Container 3. Running TensorRT 4. TensorRT Release 21.12 5. TensorRT Release 21.11 6. TensorRT Release 21.10 7. TensorRT Release 21.09 8. TensorRT Release 21.08 9. TensorRT Release 21.07 10. TensorRT Release 21.06 11. TensorRT Release 21.05 12. TensorRT Release 21.04 13. TensorRT Release 21.03 14. TensorRT Release 21.02 15. TensorRT Release 21.0..