environment.sh

#!/bin/bash
# SPDX-FileCopyrightText: Copyright (c) 2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: MIT
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# export CUDA_VISIBLE_DEVICES=2

export TensorRT_HOME=/opt/TensorRT
export TensorRT_Lib=${TensorRT_HOME}/lib
export TensorRT_Inc=${TensorRT_HOME}/include
export TensorRT_Bin=${TensorRT_HOME}/bin

export CUDA_HOME=/usr/local/cuda-11
export CUDA_Lib=${CUDA_HOME}/lib64
export CUDA_Inc=${CUDA_HOME}/include
export CUDA_Bin=${CUDA_HOME}/bin

export CUDNN_Lib=/usr/lib/x86_64-linux-gnu

# resnet50/resnet50int8/swint
export DEBUG_MODEL=resnet50

# fp16/int8
export DEBUG_PRECISION=fp16
export DEBUG_DATA=example-data
export USE_Python=OFF

# check the configuration path
# clean the configuration status
export ConfigurationStatus=Failed
if [ ! -f "${TensorRT_Bin}/trtexec" ]; then
    echo "Can not find ${TensorRT_Bin}/trtexec, there may be a mistake in the directory you configured."
    return
fi

if [ ! -f "${CUDA_Bin}/nvcc" ]; then
    echo "Can not find ${CUDA_Bin}/nvcc, there may be a mistake in the directory you configured."
    return
fi

echo "=========================================================="
echo "||  MODEL: $DEBUG_MODEL"
echo "||  PRECISION: $DEBUG_PRECISION"
echo "||  DATA: $DEBUG_DATA"
echo "||  USEPython: $USE_Python"
echo "||"
echo "||  TensorRT: $TensorRT_Lib"
echo "||  CUDA: $CUDA_HOME"
echo "||  CUDNN: $CUDNN_Lib"
echo "=========================================================="

BuildDirectory=$(pwd)/build

if [ "$USE_Python" == "ON" ]; then
    export Python_Inc=$(python3 -c "import sysconfig;print(sysconfig.get_path('include'))")
    export Python_Lib=$(python3 -c "import sysconfig;print(sysconfig.get_config_var('LIBDIR'))")
    export Python_Soname=$(python3 -c "import sysconfig;import re;print(re.sub('.a', '.so', sysconfig.get_config_var('LIBRARY')))")
    echo Find Python_Inc: $Python_Inc
    echo Find Python_Lib: $Python_Lib
    echo Find Python_Soname: $Python_Soname
fi

export PATH=$TensorRT_Bin:$CUDA_Bin:$PATH
export LD_LIBRARY_PATH=$TensorRT_Lib:$CUDA_Lib:$CUDNN_Lib:$BuildDirectory:$LD_LIBRARY_PATH
export PYTHONPATH=$BuildDirectory:$PYTHONPATH
export ConfigurationStatus=Success

if [ -f "tool/cudasm.sh" ]; then
    echo "Try to get the current device SM"
    . "tool/cudasm.sh"
    echo "Current CUDA SM: $cudasm"
fi

export CUDASM=$cudasm

echo Configuration done!