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[XPU] Update Lite XPU lib and fixed some bugs (#1647)

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This commit is contained in:
DefTruth
2023-03-17 21:39:39 +08:00
committed by GitHub
parent e21127b7e8
commit 6af3691568
8 changed files with 100 additions and 11 deletions
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10
benchmark/cpp/benchmark_xpu.sh
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@@ -18,12 +18,12 @@ fi
./benchmark_picodet --model picodet_l_640_coco_lcnet_no_nms --image 000000014439.jpg --config_path $CONFIG_PATH --no_nms
# PaddleSeg
./benchmark_ppseg --model Portrait_PP_HumanSegV2_Lite_256x144_with_argmax_infer --image portrait_heng.jpg --config_path $CONFIG_PATH
./benchmark_ppseg --model PP_HumanSegV2_Lite_192x192_with_argmax_infer --image portrait_heng.jpg --config_path $CONFIG_PATH
./benchmark_ppseg --model Portrait_PP_HumanSegV2_Lite_256x144_with_argmax_infer --image portrait_heng.jpg --config_path $CONFIG_PATH --xpu_l3_cache 0
./benchmark_ppseg --model PP_HumanSegV2_Lite_192x192_with_argmax_infer --image portrait_heng.jpg --config_path $CONFIG_PATH --xpu_l3_cache 0
./benchmark_ppseg --model PP_HumanSegV1_Lite_infer --image portrait_heng.jpg --config_path $CONFIG_PATH
./benchmark_ppseg --model Deeplabv3_ResNet101_OS8_cityscapes_with_argmax_infer --image cityscapes_demo.png --config_path $CONFIG_PATH
./benchmark_ppseg --model PP_LiteSeg_B_STDC2_cityscapes_with_argmax_infer --image cityscapes_demo.png --config_path $CONFIG_PATH
./benchmark_ppseg --model SegFormer_B0-cityscapes-with-argmax --image cityscapes_demo.png --config_path $CONFIG_PATH
./benchmark_ppseg --model Deeplabv3_ResNet101_OS8_cityscapes_with_argmax_infer --image cityscapes_demo.png --config_path $CONFIG_PATH --xpu_l3_cache 0
./benchmark_ppseg --model PP_LiteSeg_B_STDC2_cityscapes_with_argmax_infer --image cityscapes_demo.png --config_path $CONFIG_PATH --xpu_l3_cache 0
./benchmark_ppseg --model SegFormer_B0-cityscapes-with-argmax --image cityscapes_demo.png --config_path $CONFIG_PATH --xpu_l3_cache 0
./benchmark_ppmatting --model PP-Matting-512 --image matting_input.jpg --config_path $CONFIG_PATH
./benchmark_ppmatting --model PPHumanMatting --image matting_input.jpg --config_path $CONFIG_PATH
./benchmark_ppmatting --model PPModnet_MobileNetV2 --image matting_input.jpg --config_path $CONFIG_PATH

14
benchmark/cpp/config/config.xpu.lite.fp32.l3.e2e.txt Executable file
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@@ -0,0 +1,14 @@
device: xpu
device_id: 0
cpu_thread_nums: 1
warmup: 20
repeat: 100
backend: lite
profile_mode: end2end
include_h2d_d2h: false
use_fp16: false
collect_memory_info: false
sampling_interval: 1
precision_compare: false
xpu_l3_cache: 62914560
result_path: benchmark_xpu_lite_fp32_l3_e2e.txt

14
benchmark/cpp/config/config.xpu.lite.fp32.l3.txt Executable file
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@@ -0,0 +1,14 @@
device: xpu
device_id: 0
cpu_thread_nums: 1
warmup: 20
repeat: 100
backend: lite
profile_mode: runtime
include_h2d_d2h: false
use_fp16: false
collect_memory_info: false
sampling_interval: 1
precision_compare: false
xpu_l3_cache: 62914560
result_path: benchmark_xpu_lite_fp32_l3.txt

1
benchmark/cpp/flags.h
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@@ -32,6 +32,7 @@ DEFINE_string(image, "", "Path of the image file.");
DEFINE_string(config_path, "config.txt", "Path of benchmark config.");
DEFINE_int32(warmup, -1, "Number of warmup for profiling.");
DEFINE_int32(repeat, -1, "Number of repeats for profiling.");
DEFINE_int32(xpu_l3_cache, -1, "Size xpu l3 cache for profiling.");
static void PrintUsage() {
std::cout << "Usage: infer_demo --model model_path --image img_path "

58
benchmark/cpp/get_models.sh
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@@ -1,43 +1,93 @@
#!/bin/bash
set -e
set +e
set +x
download_fd_model_zxvf() {
local model="$1"
local model="$1" # xxx_model.tgz
local len=${#model}
local model_dir=${model:0:${#model}-4} # xxx_model
if [ -d "${model_dir}" ]; then
echo "[INFO] --- $model_dir already exists!"
return
fi
if [ ! -f "${model}" ]; then
echo "[INFO] --- downloading $model"
wget https://bj.bcebos.com/paddlehub/fastdeploy/$model && tar -zxvf $model
# remove tar crash
rm $(ls ./${model_dir}/._*)
else
echo "[INFO] --- $model already exists!"
if [ ! -d "${model_dir}" ]; then
tar -zxvf $model
rm $(ls ./${model_dir}/._*)
else
echo "[INFO] --- $model_dir already exists!"
fi
fi
}
download_fd_model_xvf() {
local model="$1"
local model_dir=${model:0:${#model}-4} # xxx_model
if [ -d "${model_dir}" ]; then
echo "[INFO] --- $model_dir already exists!"
return
fi
if [ ! -f "${model}" ]; then
echo "[INFO] --- downloading $model"
wget https://bj.bcebos.com/paddlehub/fastdeploy/$model && tar -xvf $model
rm $(ls ./${model_dir}/._*)
else
echo "[INFO] --- $model already exists!"
if [ ! -d "${model_dir}" ]; then
tar -xvf $model
rm $(ls ./${model_dir}/._*)
else
echo "[INFO] --- $model_dir already exists!"
fi
fi
}
download_common_model_zxvf() {
local model_url="$1"
local model="$2"
local model_dir=${model:0:${#model}-4} # xxx_model
if [ -d "${model_dir}" ]; then
echo "[INFO] --- $model_dir already exists!"
return
fi
if [ ! -f "${model}" ]; then
echo "[INFO] --- downloading $model"
wget ${model_url} && tar -zxvf $model
rm $(ls ./${model_dir}/._*)
else
echo "[INFO] --- $model already exists!"
if [ ! -d "${model_dir}" ]; then
tar -zxvf $model
rm $(ls ./${model_dir}/._*)
else
echo "[INFO] --- $model_dir already exists!"
fi
fi
}
download_common_model_xvf() {
local model_url="$1"
local model="$2"
local model_dir=${model:0:${#model}-4} # xxx_model
if [ -d "${model_dir}" ]; then
echo "[INFO] --- $model_dir already exists!"
return
fi
if [ ! -f "${model}" ]; then
echo "[INFO] --- downloading $model"
wget ${model_url} && tar -xvf $model
rm $(ls ./${model_dir}/._*)
else
echo "[INFO] --- $model already exists!"
if [ ! -d "${model_dir}" ]; then
tar -xvf $model
rm $(ls ./${model_dir}/._*)
else
echo "[INFO] --- $model_dir already exists!"
fi
fi
}
download_common_file() {
@@ -60,6 +110,7 @@ download_fd_model_zxvf yolov5_s_300e_coco_no_nms.tgz
download_fd_model_zxvf yolov6_s_300e_coco_no_nms.tgz
download_fd_model_zxvf yolov7_l_300e_coco_no_nms.tgz
download_fd_model_zxvf yolov8_s_500e_coco_no_nms.tgz
# PaddleClas
download_fd_model_zxvf PPLCNet_x1_0_infer.tgz
download_fd_model_zxvf PPLCNetV2_base_infer.tgz
@@ -90,6 +141,7 @@ download_fd_model_zxvf DenseNet121_infer.tgz
download_fd_model_zxvf PPHGNet_small_infer.tgz
download_fd_model_zxvf person_exists_infer.tgz
download_fd_model_zxvf EfficientNetB0_small_infer.tgz
# PaddleSeg
download_fd_model_zxvf PP_LiteSeg_B_STDC2_cityscapes_with_argmax_infer.tgz
download_fd_model_zxvf PP_HumanSegV1_Lite_infer.tgz
@@ -100,12 +152,14 @@ download_fd_model_zxvf SegFormer_B0-cityscapes-with-argmax.tgz
download_fd_model_xvf PP-Matting-512.tgz
download_fd_model_xvf PPHumanMatting.tgz
download_fd_model_xvf PPModnet_MobileNetV2.tgz
# PaddleOCR
download_common_model_xvf https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_det_infer.tar ch_PP-OCRv3_det_infer.tar
download_common_model_xvf https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_rec_infer.tar ch_PP-OCRv3_rec_infer.tar
download_common_model_xvf https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_infer.tar ch_ppocr_mobile_v2.0_cls_infer.tar
download_common_model_xvf https://paddleocr.bj.bcebos.com/PP-OCRv2/chinese/ch_PP-OCRv2_det_infer.tar ch_PP-OCRv2_det_infer.tar
download_common_model_xvf https://paddleocr.bj.bcebos.com/PP-OCRv2/chinese/ch_PP-OCRv2_rec_infer.tar ch_PP-OCRv2_rec_infer.tar
# download images
download_common_file https://bj.bcebos.com/paddlehub/fastdeploy/rec_img.jpg rec_img.jpg
download_common_file https://bj.bcebos.com/paddlehub/fastdeploy/cityscapes_demo.png cityscapes_demo.png

9
benchmark/cpp/option.h
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@@ -85,8 +85,13 @@ static bool CreateRuntimeOption(fastdeploy::RuntimeOption* option,
return false;
}
} else if (config_info["device"] == "xpu") {
option->UseKunlunXin(std::stoi(config_info["device_id"]),
std::stoi(config_info["xpu_l3_cache"]));
if (FLAGS_xpu_l3_cache >= 0) {
option->UseKunlunXin(std::stoi(config_info["device_id"],
FLAGS_xpu_l3_cache);
} else {
option->UseKunlunXin(std::stoi(config_info["device_id"]),
std::stoi(config_info["xpu_l3_cache"]));
}
if (config_info["backend"] == "ort") {
option->UseOrtBackend();
} else if (config_info["backend"] == "paddle") {

4
cmake/kunlunxin.cmake
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@@ -10,8 +10,8 @@ endif()
option(WITH_LITE_XPU_LOG "" ON)
if(NOT PADDLELITE_URL)
if (WITH_LITE_XPU_LOG)
set(PADDLELITE_URL "https://bj.bcebos.com/fastdeploy/third_libs/lite-linux-x64-xpu-20221215.tgz")
# set(PADDLELITE_URL "https://bj.bcebos.com/fastdeploy/third_libs/lite-linux-x64-xpu-20230303.tgz")
#set(PADDLELITE_URL "https://bj.bcebos.com/fastdeploy/third_libs/lite-linux-x64-xpu-20221215.tgz")
set(PADDLELITE_URL "https://bj.bcebos.com/fastdeploy/third_libs/lite-linux-x64-xpu-20230303.tgz")
else()
set(PADDLELITE_URL "https://bj.bcebos.com/fastdeploy/third_libs/lite-linux-x64-xpu-without-log-20230303.tgz")
endif()

1
fastdeploy/runtime/backends/lite/configure_hardware.cc
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@@ -66,6 +66,7 @@ void LiteBackend::ConfigureKunlunXin(const LiteBackendOption& option) {
option.kunlunxin_l3_workspace_size);
config_.set_xpu_l3_cache_method(option.kunlunxin_l3_workspace_size,
option.kunlunxin_locked);
config_.set_xpu_l3_cache_autotune(option.kunlunxin_autotune);
config_.set_xpu_conv_autotune(option.kunlunxin_autotune,
option.kunlunxin_autotune_file);
config_.set_xpu_multi_encoder_method(option.kunlunxin_precision,