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convert_info.py
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# Copyright (c) 2022 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.
import os
import argparse
parser = argparse.ArgumentParser(description='manual to this script')
parser.add_argument('--txt_path', type=str, default='result.txt')
parser.add_argument('--domain', type=str, default='ppcls')
parser.add_argument(
"--enable_collect_memory_info",
type=bool,
default=False,
help="whether enable collect memory info")
args = parser.parse_args()
txt_path = args.txt_path
domain = args.domain
enable_collect_memory_info = args.enable_collect_memory_info
f1 = open(txt_path, "r")
lines = f1.readlines()
line_nums = len(lines)
ort_cpu_thread1 = dict()
ort_cpu_thread8 = dict()
ort_gpu = dict()
ov_cpu_thread1 = dict()
ov_cpu_thread8 = dict()
paddle_cpu_thread1 = dict()
paddle_cpu_thread8 = dict()
paddle_gpu = dict()
paddle_trt_gpu = dict()
paddle_trt_gpu_fp16 = dict()
trt_gpu = dict()
trt_gpu_fp16 = dict()
model_name_set = set()
for i in range(line_nums):
if "====" in lines[i]:
model_name = lines[i].strip().split("_model")[0][4:]
model_name_set.add(model_name)
runtime = "-"
end2end = "-"
cpu_rss_mb = "-"
gpu_rss_mb = "-"
if "Runtime(ms)" in lines[i + 1]:
runtime_ori = lines[i + 1].split(": ")[1]
# two decimal places
runtime_list = runtime_ori.split(".")
runtime = runtime_list[0] + "." + runtime_list[1][:2]
if "End2End(ms)" in lines[i + 2]:
end2end_ori = lines[i + 2].split(": ")[1]
# two decimal places
end2end_list = end2end_ori.split(".")
end2end = end2end_list[0] + "." + end2end_list[1][:2]
if enable_collect_memory_info:
if "cpu_rss_mb" in lines[i + 3]:
cpu_rss_mb_ori = lines[i + 3].split(": ")[1]
# two decimal places
cpu_rss_mb_list = cpu_rss_mb_ori.split(".")
cpu_rss_mb = cpu_rss_mb_list[0] + "." + cpu_rss_mb_list[1][:2]
if "gpu_rss_mb" in lines[i + 4]:
gpu_rss_mb_ori = lines[i + 4].split(": ")[1].strip()
gpu_rss_mb = str(gpu_rss_mb_ori) + ".0"
if "ort_cpu_1" in lines[i]:
ort_cpu_thread1[
model_name] = runtime + "\t" + end2end + "\t" + cpu_rss_mb
elif "ort_cpu_8" in lines[i]:
ort_cpu_thread8[
model_name] = runtime + "\t" + end2end + "\t" + cpu_rss_mb
elif "ort_gpu" in lines[i]:
ort_gpu[model_name] = runtime + "\t" + end2end + "\t" + gpu_rss_mb
elif "ov_cpu_1" in lines[i]:
ov_cpu_thread1[
model_name] = runtime + "\t" + end2end + "\t" + cpu_rss_mb
elif "ov_cpu_8" in lines[i]:
ov_cpu_thread8[
model_name] = runtime + "\t" + end2end + "\t" + cpu_rss_mb
elif "paddle_cpu_1" in lines[i]:
paddle_cpu_thread1[
model_name] = runtime + "\t" + end2end + "\t" + cpu_rss_mb
elif "paddle_cpu_8" in lines[i]:
paddle_cpu_thread8[
model_name] = runtime + "\t" + end2end + "\t" + cpu_rss_mb
elif "paddle_gpu" in lines[i]:
paddle_gpu[
model_name] = runtime + "\t" + end2end + "\t" + gpu_rss_mb
elif "paddle_trt_gpu" in lines[i]:
paddle_trt_gpu[
model_name] = runtime + "\t" + end2end + "\t" + gpu_rss_mb
elif "paddle_trt_fp16_gpu" in lines[i]:
paddle_trt_gpu_fp16[
model_name] = runtime + "\t" + end2end + "\t" + gpu_rss_mb
elif "trt_gpu" in lines[i]:
trt_gpu[model_name] = runtime + "\t" + end2end + "\t" + gpu_rss_mb
elif "trt_fp16_gpu" in lines[i]:
trt_gpu_fp16[
model_name] = runtime + "\t" + end2end + "\t" + gpu_rss_mb
f2 = open("struct_cpu_" + domain + ".txt", "w")
f2.writelines(
"model_name\tthread_nums\tort_run\tort_end2end\tcpu_mem\tov_run\tov_end2end\tcpu_mem\tpaddle_run\tpaddle_end2end\tcpu_mem\n"
)
for model_name in model_name_set:
lines1 = model_name + '\t1\t'
lines2 = model_name + '\t8\t'
if model_name in ort_cpu_thread1 and ort_cpu_thread1[model_name] != "":
lines1 += ort_cpu_thread1[model_name] + '\t'
else:
lines1 += "-\t-\t-\t"
if model_name in ov_cpu_thread1 and ov_cpu_thread1[model_name] != "":
lines1 += ov_cpu_thread1[model_name] + '\t'
else:
lines1 += "-\t-\t-\t"
if model_name in paddle_cpu_thread1 and paddle_cpu_thread1[
model_name] != "":
lines1 += paddle_cpu_thread1[model_name] + '\n'
else:
lines1 += "-\t-\t-\n"
f2.writelines(lines1)
if model_name in ort_cpu_thread8 and ort_cpu_thread8[model_name] != "":
lines2 += ort_cpu_thread8[model_name] + '\t'
else:
lines2 += "-\t-\t-\t"
if model_name in ov_cpu_thread8 and ov_cpu_thread8[model_name] != "":
lines2 += ov_cpu_thread8[model_name] + '\t'
else:
lines2 += "-\t-\t-\t"
if model_name in paddle_cpu_thread8 and paddle_cpu_thread8[
model_name] != "":
lines2 += paddle_cpu_thread8[model_name] + '\n'
else:
lines2 += "-\t-\t-\n"
f2.writelines(lines2)
f2.close()
f3 = open("struct_gpu_" + domain + ".txt", "w")
f3.writelines(
"model_name\tort_run\tort_end2end\tgpu_mem\tpaddle_run\tpaddle_end2end\tgpu_mem\tpaddle_trt_run\tpaddle_trt_end2end\tgpu_mem\tpaddle_trt_fp16_run\tpaddle_trt_fp16_end2end\tgpu_mem\ttrt_run\ttrt_end2end\tgpu_mem\ttrt_fp16_run\ttrt_fp16_end2end\tgpu_mem\n"
)
for model_name in model_name_set:
lines1 = model_name + '\t'
if model_name in ort_gpu and ort_gpu[model_name] != "":
lines1 += ort_gpu[model_name] + '\t'
else:
lines1 += "-\t-\t-\t"
if model_name in paddle_gpu and paddle_gpu[model_name] != "":
lines1 += paddle_gpu[model_name] + '\t'
else:
lines1 += "-\t-\t-\t"
if model_name in paddle_trt_gpu and paddle_trt_gpu[model_name] != "":
lines1 += paddle_trt_gpu[model_name] + '\t'
else:
lines1 += "-\t-\t-\t"
if model_name in paddle_trt_gpu_fp16 and paddle_trt_gpu_fp16[
model_name] != "":
lines1 += paddle_trt_gpu_fp16[model_name] + '\t'
else:
lines1 += "-\t-\t-\t"
if model_name in trt_gpu and trt_gpu[model_name] != "":
lines1 += trt_gpu[model_name] + '\t'
else:
lines1 += "-\t-\t-\t"
if model_name in trt_gpu_fp16 and trt_gpu_fp16[model_name] != "":
lines1 += trt_gpu_fp16[model_name] + '\n'
else:
lines1 += "-\t-\t-\n"
f3.writelines(lines1)
f3.close()