forked from NVIDIA/TensorRT
-
Notifications
You must be signed in to change notification settings - Fork 0
/
launch.sh
executable file
·53 lines (47 loc) · 1.83 KB
/
launch.sh
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
#!/usr/bin/env bash
#
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# 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_dockerfile=docker/ubuntu
arg_imagename=tensorrt-ubuntu
arg_gpus=all
arg_trtrelease=$TRT_RELEASE
arg_trtsource=$TRT_SOURCE
arg_help=0
while [[ "$#" -gt 0 ]]; do case $1 in
--tag) arg_imagename="$2"; shift;;
--gpus) arg_gpus="$2"; shift;;
--release) arg_trtrelease="$2"; shift;;
--source) arg_trtsource="$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: $0 [options]"
echo " --help or -h : Print this help menu."
echo " --tag <imagename> : Image name for the generated container."
echo " --gpus <number> : Number of GPUs visible in container. Set 'none' to disable, and 'all' to make all visible."
echo " --release <path> : Path to TensorRT release build."
echo " --source <path> : Path to TensorRT open source codebase."
exit;
fi
extra_args=""
if [ "$arg_gpus" != "none" ]; then
extra_args="$extra_args --gpus $arg_gpus"
fi
docker_args="$extra_args -v $arg_trtrelease:/tensorrt -v $arg_trtsource:/workspace/TensorRT -it $arg_imagename:latest"
echo "Launching container:"
echo "> docker run $docker_args"
docker run $docker_args