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			274 lines
		
	
	
		
			9.8 KiB
		
	
	
	
		
			Bash
		
	
	
	
	
	
			
		
		
	
	
			274 lines
		
	
	
		
			9.8 KiB
		
	
	
	
		
			Bash
		
	
	
	
	
	
| #!/usr/bin/env bash
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| 
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| # Copyright (c) 2024 PaddlePaddle Authors. All Rights Reserved.
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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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| BUILD_WHEEL=${1:-1}
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| PYTHON_VERSION=${2:-"python"}
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| export python=$PYTHON_VERSION
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| FD_CPU_USE_BF16=${3:-"false"}
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| # FD_BUILDING_ARCS: Specify target CUDA architectures for custom ops, e.g., "[80, 90, 100]".
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| # For SM90 (Hopper), use 90. For SM100 (Blackwell), use 100.
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| # These will be translated to 90a / 100a in setup_ops.py for specific features.
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| FD_BUILDING_ARCS=${4:-""}
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| 
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| 
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| # paddle distributed use to set archs
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| unset PADDLE_CUDA_ARCH_LIST
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| 
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| # directory config
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| DIST_DIR="dist"
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| BUILD_DIR="build"
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| EGG_DIR="fastdeploy.egg-info"
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| 
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| # custom_ops directory config
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| OPS_SRC_DIR="custom_ops"
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| OPS_TMP_DIR_BASE="tmp_base"
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| OPS_TMP_DIR="tmp"
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| 
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| # command line log config
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| RED='\033[0;31m'
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| BLUE='\033[0;34m'
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| GREEN='\033[1;32m'
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| BOLD='\033[1m'
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| NONE='\033[0m'
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| 
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| DEVICE_TYPE="gpu"
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| 
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| function python_version_check() {
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|   PY_MAIN_VERSION=`${python} -V 2>&1 | awk '{print $2}' | awk -F '.' '{print $1}'`
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|   PY_SUB_VERSION=`${python} -V 2>&1 | awk '{print $2}' | awk -F '.' '{print $2}'`
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|   echo -e "find python version ${PY_MAIN_VERSION}.${PY_SUB_VERSION}"
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|   if [ $PY_MAIN_VERSION -ne "3" -o $PY_SUB_VERSION -lt "9" ]; then
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|     echo -e "${RED}FAIL:${NONE} please use Python >= 3.9"
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|     exit 1
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|   fi
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| }
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| 
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| function init() {
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|     echo -e "${BLUE}[init]${NONE} removing building directory..."
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|     rm -rf $DIST_DIR $BUILD_DIR $EGG_DIR
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|     ${python} -m pip install setuptools_scm
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|     echo -e "${BLUE}[init]${NONE} ${GREEN}init success\n"
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| }
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| 
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| 
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| function copy_ops(){
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|     OPS_VERSION="0.0.0"
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|     PY_MAIN_VERSION=`${python} -V 2>&1 | awk '{print $2}' | awk -F '.' '{print $1}'`
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|     PY_SUB_VERSION=`${python} -V 2>&1 | awk '{print $2}' | awk -F '.' '{print $2}'`
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|     PY_VERSION="py${PY_MAIN_VERSION}.${PY_SUB_VERSION}"
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|     SYSTEM_VERSION=`${python} -c "import platform; print(platform.system().lower())"`
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|     PROCESSOR_VERSION=`${python} -c "import platform; print(platform.processor())"`
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|     WHEEL_BASE_NAME="fastdeploy_base_ops-${OPS_VERSION}-${PY_VERSION}-${SYSTEM_VERSION}-${PROCESSOR_VERSION}.egg"
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|     WHEEL_NAME="fastdeploy_ops-${OPS_VERSION}-${PY_VERSION}-${SYSTEM_VERSION}-${PROCESSOR_VERSION}.egg"
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|     WHEEL_CPU_NAME="fastdeploy_cpu_ops-${OPS_VERSION}-${PY_VERSION}-${SYSTEM_VERSION}-${PROCESSOR_VERSION}.egg"
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|     is_rocm=`$python -c "import paddle; print(paddle.is_compiled_with_rocm())"`
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|     if [ "$is_rocm" = "True" ]; then
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|       DEVICE_TYPE="rocm"
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|       mkdir -p ../fastdeploy/model_executor/ops/base
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|       cp -r ./${OPS_TMP_DIR_BASE}/${WHEEL_BASE_NAME}/* ../fastdeploy/model_executor/ops/base
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|       cp -r ./${OPS_TMP_DIR}/${WHEEL_NAME}/* ../fastdeploy/model_executor/ops/gpu
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|       echo -e "BASE and ROCM ops have been copy to fastdeploy"
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|       return
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|     fi
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|     mkdir -p ../fastdeploy/model_executor/ops/base
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|     is_cuda=`$python -c "import paddle; print(paddle.is_compiled_with_cuda())"`
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|     if [ "$is_cuda" = "True" ]; then
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|       DEVICE_TYPE="gpu"
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|       cp -r ./${OPS_TMP_DIR_BASE}/${WHEEL_BASE_NAME}/* ../fastdeploy/model_executor/ops/base
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|       cp -r ./${OPS_TMP_DIR}/${WHEEL_NAME}/* ../fastdeploy/model_executor/ops/gpu
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|       echo -e "BASE and CUDA ops have been copy to fastdeploy"
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|       return
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|     fi
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| 
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|     is_xpu=`$python -c "import paddle; print(paddle.is_compiled_with_xpu())"`
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|     if [ "$is_xpu" = "True" ]; then
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|       DEVICE_TYPE="xpu"
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|       cp -r ./${OPS_TMP_DIR}/${WHEEL_NAME}/* ../fastdeploy/model_executor/ops/xpu
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|       echo -e "xpu ops have been copy to fastdeploy"
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|       return
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|     fi
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| 
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|     is_npu=`$python -c "import paddle; print(paddle.is_compiled_with_custom_device('npu'))"`
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|     if [ "$is_npu" = "True" ]; then
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|       DEVICE_TYPE="npu"
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|       cp -r ${OPS_TMP_DIR}/${WHEEL_NAME}/* ../fastdeploy/model_executor/ops/npu
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|       echo -e "npu ops have been copy to fastdeploy"
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|       return
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|     fi
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| 
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|     if_corex=`$python -c "import paddle; print(paddle.is_compiled_with_custom_device(\"iluvatar_gpu\"))"`
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|     if [ "$if_corex" = "True" ]; then
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|       DEVICE_TYPE="iluvatar-gpu"
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|       cp -r ./${OPS_TMP_DIR_BASE}/${WHEEL_BASE_NAME}/* ../fastdeploy/model_executor/ops/base
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|       cp -r ./${OPS_TMP_DIR}/${WHEEL_NAME}/* ../fastdeploy/model_executor/ops/iluvatar
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|       echo -e "BASE and Iluvatar ops have been copy to fastdeploy"
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|       return
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|     fi
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| 
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|     is_gcu=`$python -c "import paddle; print(paddle.is_compiled_with_custom_device('gcu'))"`
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|     if [ "$is_gcu" = "True" ]; then
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|       DEVICE_TYPE="gcu"
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|       cp -r ${OPS_TMP_DIR}/${WHEEL_NAME}/* ../fastdeploy/model_executor/ops/gcu
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|       echo -e "gcu ops have been copy to fastdeploy"
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|       return
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|     fi
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| 
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|     DEVICE_TYPE="cpu"
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|     cp -r ./${OPS_TMP_DIR_BASE}/${WHEEL_BASE_NAME}/* ../fastdeploy/model_executor/ops/base
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|     cd ../../../../
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|     cp -r ${OPS_TMP_DIR}/${WHEEL_CPU_NAME}/* ../fastdeploy/model_executor/ops/cpu
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|     echo -e "BASE and CPU ops have been copy to fastdeploy"
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|     return
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| }
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| 
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| function build_and_install_ops() {
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|   cd $OPS_SRC_DIR
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|   export no_proxy=bcebos.com,paddlepaddle.org.cn,${no_proxy}
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|   echo -e "${BLUE}[build]${NONE} build and install fastdeploy_base_ops..."
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|   ${python} setup_ops_base.py install --install-lib ${OPS_TMP_DIR_BASE}
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|   find ${OPS_TMP_DIR_BASE} -type f -name "*.o" -exec rm -f {} \;
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|   echo -e "${BLUE}[build]${NONE} build and install fastdeploy_ops..."
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|   TMP_DIR_REAL_PATH=`readlink -f ${OPS_TMP_DIR}`
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|   is_xpu=`$python -c "import paddle; print(paddle.is_compiled_with_xpu())"`
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|   if [ "$is_xpu" = "True" ]; then
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|     cd xpu_ops/src
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|     bash build.sh ${TMP_DIR_REAL_PATH}
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|     cd ../..
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|   elif [ "$FD_CPU_USE_BF16" == "true" ]; then
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|     if [ "$FD_BUILDING_ARCS" == "" ]; then
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|       FD_CPU_USE_BF16=True ${python} setup_ops.py install --install-lib ${OPS_TMP_DIR}
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|     else
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|       FD_BUILDING_ARCS=${FD_BUILDING_ARCS} FD_CPU_USE_BF16=True ${python} setup_ops.py install --install-lib ${OPS_TMP_DIR}
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|     fi
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|     find ${OPS_TMP_DIR} -type f -name "*.o" -exec rm -f {} \;
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|   elif [ "$FD_CPU_USE_BF16" == "false" ]; then
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|     if [ "$FD_BUILDING_ARCS" == "" ]; then
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|       ${python} setup_ops.py install --install-lib ${OPS_TMP_DIR}
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|     else
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|       FD_BUILDING_ARCS=${FD_BUILDING_ARCS} ${python} setup_ops.py install --install-lib ${OPS_TMP_DIR}
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|     fi
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|     find ${OPS_TMP_DIR} -type f -name "*.o" -exec rm -f {} \;
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|   else
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|       echo "Error: Invalid parameter '$FD_CPU_USE_BF16'. Please use true or false."
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|       exit 1
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|   fi
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|   if [ $? -ne 0 ]; then
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|     echo -e "${RED}[FAIL]${NONE} build fastdeploy_ops wheel failed ${NONE}"
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|     exit 1
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|   fi
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|   echo -e "${BLUE}[build]${NONE} ${GREEN}build fastdeploy_ops success ${NONE}"
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| 
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|   copy_ops
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| 
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|   cd ..
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| }
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| 
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| function build_and_install() {
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|   echo -e "${BLUE}[build]${NONE} building fastdeploy wheel..."
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|   ${python} setup.py bdist_wheel --python-tag=py3
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| 
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|   if [ $? -ne 0 ]; then
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|     echo -e "${RED}[FAIL]${NONE} build fastdeploy wheel failed"
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|     exit 1
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|   fi
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|   echo -e "${BLUE}[build]${NONE} ${GREEN}build fastdeploy wheel success${NONE}\n"
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| }
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| 
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| function version_info() {
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|   output_file="fastdeploy/version.txt"
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|   fastdeploy_git_commit_id=$(git rev-parse HEAD)
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|   paddle_version=$(${python} -c "import paddle; print(paddle.__version__)")
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|   paddle_git_commit_id=$(${python} -c "import paddle; print(paddle.__git_commit__)")
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|   cuda_version="nvcc-not-installed"
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|   if command -v nvcc &> /dev/null; then
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|     cuda_version=$(nvcc -V | grep -Po "(?<=release )[\d.]+(?=, V)")
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|   fi
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|   cxx_version=$(g++ --version | head -n 1 | grep -Po "(?<=\) )[\d.]+")
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| 
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|   echo "fastdeploy GIT COMMIT ID: $fastdeploy_git_commit_id" > $output_file
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|   echo "Paddle version: $paddle_version" >> $output_file
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|   echo "Paddle GIT COMMIT ID: $paddle_git_commit_id" >> $output_file
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|   echo "CUDA version: $cuda_version" >> $output_file
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|   echo "CXX compiler version: $cxx_version" >> $output_file
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| }
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| 
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| function cleanup() {
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|   rm -rf $BUILD_DIR $EGG_DIR
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|   if [ `${python} -m pip list | grep fastdeploy | wc -l` -gt 0  ]; then
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|     echo -e "${BLUE}[init]${NONE} uninstalling fastdeploy..."
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|     ${python} -m pip uninstall -y fastdeploy-${DEVICE_TYPE}
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|   fi
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| 
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|   rm -rf $OPS_SRC_DIR/$BUILD_DIR $OPS_SRC_DIR/$EGG_DIR
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|   rm -rf $OPS_SRC_DIR/$OPS_TMP_DIR_BASE
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|   rm -rf $OPS_SRC_DIR/$OPS_TMP_DIR
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| }
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| 
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| function abort() {
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|   echo -e "${RED}[FAIL]${NONE} build wheel failed
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|           please check your code" 1>&2
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| 
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|   cur_dir=`basename "$pwd"`
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| 
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|   rm -rf $BUILD_DIR $EGG_DIR $DIST_DIR
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|   ${python} -m pip uninstall -y fastdeploy-${DEVICE_TYPE}
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| 
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|   rm -rf $OPS_SRC_DIR/$BUILD_DIR $OPS_SRC_DIR/$EGG_DIR
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| }
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| 
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| python_version_check
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| 
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| if [ "$BUILD_WHEEL" -eq 1 ]; then
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|   trap 'abort' 0
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|   set -e
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| 
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|   init
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|   version_info
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|   build_and_install_ops
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|   build_and_install
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|   cleanup
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| 
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|   # get Paddle version
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|   PADDLE_VERSION=`${python} -c "import paddle; print(paddle.version.full_version)"`
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|   PADDLE_COMMIT=`${python} -c "import paddle; print(paddle.version.commit)"`
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| 
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|   # get fastdeploy version
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|   EFFLLM_BRANCH=`git rev-parse --abbrev-ref HEAD`
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|   EFFLLM_COMMIT=`git rev-parse --short HEAD`
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| 
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|   # get Python version
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|   PYTHON_VERSION=`${python} -c "import platform; print(platform.python_version())"`
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| 
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|   echo -e "\n${GREEN}fastdeploy wheel compiled and checked success${NONE}
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|           ${BLUE}Python version:${NONE} $PYTHON_VERSION
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|           ${BLUE}Paddle version:${NONE} $PADDLE_VERSION ($PADDLE_COMMIT)
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|           ${BLUE}fastdeploy branch:${NONE} $EFFLLM_BRANCH ($EFFLLM_COMMIT)\n"
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| 
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|   echo -e "${GREEN}wheel saved under${NONE} ${RED}${BOLD}./dist${NONE}"
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| 
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|   # install wheel
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|   ${python} -m pip install ./dist/fastdeploy*.whl
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|   echo -e "${GREEN}wheel install success${NONE}\n"
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| 
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|   trap : 0
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| else
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|   init
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|   build_and_install_ops
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|   version_info
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|   rm -rf $BUILD_DIR $EGG_DIR $DIST_DIR
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|   rm -rf $OPS_SRC_DIR/$BUILD_DIR $OPS_SRC_DIR/$EGG_DIR
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| fi
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