wehub-resource-sync
59 lines
1.9 KiB
Bash
Executable File
59 lines
1.9 KiB
Bash
Executable File
#!/usr/bin/env bash
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#
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# SPDX-FileCopyrightText: Copyright (c) 1993-2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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# SPDX-License-Identifier: Apache-2.0
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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arg_tag=tensorrt-ubuntu24.04
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arg_gpus=all
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arg_jupyter=0
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arg_help=0
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while [[ "$#" -gt 0 ]]; do case $1 in
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--tag) arg_tag="$2"; shift;;
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--gpus) arg_gpus="$2"; shift;;
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--jupyter) arg_jupyter="$2"; shift;;
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-h|--help) arg_help=1;;
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*) echo "Unknown parameter passed: $1"; echo "For help type: $0 --help"; exit 1;
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esac; shift; done
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if [ "$arg_help" -eq "1" ]; then
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echo "Usage: $0 [options]"
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echo " --help or -h : Print this help menu."
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echo " --tag <imagetag> : Image name for generated container."
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echo " --gpus <number> : Number of GPUs visible in container. Set 'none' to disable, and 'all' to make all visible."
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echo " --jupyter <port> : Launch Jupyter notebook using the specified port number."
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exit;
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fi
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extra_args=""
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if [ "$arg_gpus" != "none" ]; then
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extra_args="$extra_args --gpus $arg_gpus"
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fi
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if [ "$arg_jupyter" -ne "0" ]; then
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extra_args+=" -p $arg_jupyter:$arg_jupyter"
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fi
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docker_args="$extra_args -v ${PWD}:/workspace/TensorRT --rm -it $arg_tag:latest"
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if [ "$arg_jupyter" -ne "0" ]; then
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docker_args+=" jupyter-lab --port=$arg_jupyter --no-browser --ip 0.0.0.0 --allow-root"
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fi
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echo "Launching container:"
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echo "> docker run $docker_args"
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docker run $docker_args
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