File size: 1,955 Bytes
5c333e7 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 | #!/usr/bin/env bash
#
# SPDX-FileCopyrightText: Copyright (c) 1993-2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
arg_tag=tensorrt-ubuntu22.04
arg_gpus=all
arg_jupyter=0
arg_help=0
while [[ "$#" -gt 0 ]]; do case $1 in
--tag) arg_tag="$2"; shift;;
--gpus) arg_gpus="$2"; shift;;
--jupyter) arg_jupyter="$2"; shift;;
-h|--help) arg_help=1;;
*) echo "Unknown parameter passed: $1"; echo "For help type: $0 --help"; exit 1;
esac; shift; done
if [ "$arg_help" -eq "1" ]; then
echo "Usage: $0 [options]"
echo " --help or -h : Print this help menu."
echo " --tag <imagetag> : Image name for generated container."
echo " --gpus <number> : Number of GPUs visible in container. Set 'none' to disable, and 'all' to make all visible."
echo " --jupyter <port> : Launch Jupyter notebook using the specified port number."
exit;
fi
extra_args=""
if [ "$arg_gpus" != "none" ]; then
extra_args="$extra_args --gpus $arg_gpus"
fi
if [ "$arg_jupyter" -ne "0" ]; then
extra_args+=" -p $arg_jupyter:$arg_jupyter"
fi
docker_args="$extra_args -v ${PWD}:/workspace/TensorRT --rm -it $arg_tag:latest"
if [ "$arg_jupyter" -ne "0" ]; then
docker_args+=" jupyter-lab --port=$arg_jupyter --no-browser --ip 0.0.0.0 --allow-root"
fi
echo "Launching container:"
echo "> docker run $docker_args"
docker run $docker_args
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