rpratesh

lm.binary was generated from the LibriSpeech normalized LM training text, available {http://www.openslr.org/11}}, following this recipe (Jupyter notebook code):


import gzip
import io
import os

from urllib import request

rpratesh

Install the pre-prequisites: sudo apt-get update
sudo apt-get install software-properties-common
sudo add-apt-repository universe
sudo add-apt-repository multiverse

sudo apt-get install libboost-dev libboost-all-dev
sudo apt-get install libgflags-dev libgoogle-glog-dev liblmdb-dev libatlas-base-dev liblmdb-dev libblas-dev libatlas-base-dev libprotobuf-dev libleveldb-dev libsnappy-dev libhdf5-serial-dev protobuf-compiler

For now only NV_caffe-0.15 is working with TX1 with JetPack 3.1 (which had TensorRT2.1)

rpratesh

This worked for me on Ubuntu 16.04 with Docker version 17.12.0-ce

Before deleting all the containers, force stop them:
$ docker ps -q -a | xargs docker stop

Then delete the containers using:
$ docker ps -q -a | xargs docker rm

Now delete all the dangling images using:
$ docker rmi $(docker images | grep “^” | awk ‘{print $3}’)