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chore: import upstream snapshot with attribution
2026-07-13 13:37:14 +08:00

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# Copyright (c) 2024 PaddlePaddle Authors. 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.
#0.环境准备:安装numactl
# apt-get update
# apt-get install numactl
# 1. download XFT
if [ ! -d xFasterTransformer ]; then
git clone https://github.com/intel/xFasterTransformer.git
fi
#2.cp patch
cd xFasterTransformer
git reset --hard 420a493f5c3c74f5fdd786f5399aacd04e021df7
cd ..
if lscpu | grep -q "avx512_bf16"; then
echo "apply bf16 and fp16."
if [ ! -f 0001-fp16_bf16.patch ]; then
echo "Error: 0001-fp16_bf16.patch not exist."
exit 1
fi
# apply patch
cp ./0001-fp16_bf16.patch ./xFasterTransformer/paddle.patch
else
echo "apply fp32 "
if [ ! -f 0001-fp32.patch ]; then
echo "Error: does 0001-fp32.patch not exist."
exit 1
fi
cp ./0001-fp32.patch ./xFasterTransformer/paddle.patch
fi
#3. apply patch
cd xFasterTransformer
git apply paddle.patch
#4. build xFasterTransformer
cd 3rdparty
bash prepare_oneccl.sh
source ./oneccl/build/_install/env/setvars.sh
cd ..
rm -rf build
mkdir build && cd build
cmake ..
make -j
cd ..
#xft
export XFT_HEADER_DIR=$PWD
export XFT_LIB_DIR=$XFT_HEADER_DIR/build
export LD_LIBRARY_PATH=$XFT_LIB_DIR:$LD_LIBRARY_PATH
#setup cpu paddle_nlp ops
cd ..
python ./src/setup_cpu.py install --user