未验证 提交 579be0c1 编写于 作者: Q qingqing01 提交者: GitHub

Add copyright and fix profile.py (#1292)

上级 4f422f02
release/1.8 XiaoguangHu01-patch-1 ZeyuChen-patch-1 dependabot/pip/PaddleRec/ctr/wide_deep/bleach-3.1.4 dependabot/pip/PaddleRec/ctr/wide_deep/notebook-5.7.8 dependabot/pip/PaddleRec/ncf/bleach-3.1.4 dependabot/pip/PaddleRec/ncf/notebook-5.7.8 dependabot/pip/PaddleRec/wide_deep/bleach-3.1.4 dependabot/pip/PaddleRec/wide_deep/notebook-5.7.8 dev-static develop dyning-patch-1 fix_bug github/fork/0YuanZhang0/fix_author_info github/fork/0YuanZhang0/upgrade_ade github/fork/1024er/fix_vae_update github/fork/123malin/matchnet github/fork/123malin/w2v_shuffle_batch github/fork/BeyondYourself/patch-3 github/fork/CandyCaneLane/deepfm_ github/fork/CandyCaneLane/xdeepfm github/fork/DrRyanHuang/patch-1 github/fork/FDInSky/dyg_det github/fork/FrostML/simnet github/fork/GT-ZhangAcer/develop github/fork/Haichao-Zhang/typo_fix github/fork/JepsonWong/ptb_lm_dataloader1 github/fork/JepsonWong/seq2seq_dataloader github/fork/JesseyXujin/cherry-pick-fix-load github/fork/JesseyXujin/elmo github/fork/JesseyXujin/elmo_new github/fork/JesseyXujin/elmo_test github/fork/JesseyXujin/senta1 github/fork/JesseyXujin/senta_readme_update github/fork/JiabinYang/add-word2vec github/fork/JiabinYang/test_word2vec github/fork/JianzhouZhan/develop github/fork/Joejiong/joe_model_1.8_update github/fork/Joejiong/joe_model_1.8_update_1 github/fork/Joejiong/update_1.8 github/fork/LiuChaoXD/liuchao45-tsn github/fork/LiuChiachi/seq2seq_attn_using_api2.0-beta github/fork/LongXinchen/longxinchen2 github/fork/LutaoChu/develop github/fork/MrChengmo/tdm_dev github/fork/Renwb1991/my-cool-stuff github/fork/RonaldJEN/develop github/fork/Steffy-zxf/fix-argument-use-gpu github/fork/Steffy-zxf/update-pcr-README github/fork/SunAhong1993/develop github/fork/SunGaofeng/v16loadfix github/fork/Sunyingbin/release/1.8 github/fork/Xreki/amp/resnet50 github/fork/Xreki/benchmark/video github/fork/Yancey1989/disable_debug github/fork/Yancey1989/dygraph_dist_resnet github/fork/Yancey1989/fast_imagenet_mp github/fork/Yancey1989/visreader github/fork/ccmeteorljh/develop github/fork/ceci3/add_in github/fork/ceci3/c_gan github/fork/ceci3/develop github/fork/ceci3/fix_cgan github/fork/chajchaj/mobile0208 github/fork/chengweiv5/fix-gru4rec-doc github/fork/chenwhql/dataloader_test_phase2 github/fork/chenwhql/dygraph/dataloader_test github/fork/chenwhql/fix_reader_usage_error github/fork/cjld/fix2 github/fork/cjt222/1.7_local github/fork/cjt222/fix_bug_py2andpy3 github/fork/cuicheng01/update_inference_time github/fork/cuicheng01/update_readme github/fork/danleifeng/dygraph_fleet_dev github/fork/edencfc/develop github/fork/edencfc/patch-1 github/fork/frankwhzhang/delerec github/fork/frankwhzhang/fix_bug github/fork/frankwhzhang/update_16 github/fork/gavin1332/fleet github/fork/gentelyang/develop github/fork/greatyang/patch-1 github/fork/greatyang/patch-2 github/fork/guoshengCS/add-fluid-transformer-md github/fork/guoshengCS/add-transformer-validation github/fork/guoshengCS/cherry-pick-transformer-readme github/fork/guoshengCS/fix-py3-transformer github/fork/guoshengCS/paddle1.6-paddleMT github/fork/guoshengCS/refine-transformer-align github/fork/guru4elephant/refine_doc github/fork/heavengate/pointrcnn_rpn_use_train_aug github/fork/huangjun12/2.0-bmn github/fork/jacquesqiao/add-ctr-dataset github/fork/jacquesqiao/update-ctr-reader github/fork/jerrywgz/add_FPN_for_fasterrcnn github/fork/jerrywgz/fix_default_infer_path_in_RCNN github/fork/jerrywgz/fix_resize github/fork/ji-u/pipe_reader github/fork/kahitomi/develop github/fork/kangyuzhe666/develop github/fork/kebinC/metric github/fork/kgresearch/develop github/fork/killf/killf_fix_bug github/fork/kolinwei/patch-9 github/fork/lijiancheng0614/develop github/fork/lishiyu93/release/1.7 github/fork/littletomatodonkey/develop github/fork/lixingjian/develop github/fork/milkfish1988/patch-2 github/fork/molly00ecla/develop github/fork/mozpp/patch-1 github/fork/overlordmax/add_DSSM github/fork/overlordmax/add_ESMM github/fork/overlordmax/add_mmoe github/fork/overlordmax/add_multi_task github/fork/overlordmax/fix_mmoe github/fork/overlordmax/listwise_05182140 github/fork/overlordmax/mmoe_0416 github/fork/overlordmax/mmoe_04162255 github/fork/overlordmax/mmoe_04172100 github/fork/overlordmax/mmoe_04172112 github/fork/overlordmax/mmoe_sb_0417 github/fork/overlordmax/ncf_04281221 github/fork/overlordmax/pr_04221554 github/fork/overlordmax/pr_06102355 github/fork/overlordmax/pr_5291452 github/fork/overlordmax/pr_5291503 github/fork/overlordmax/pr_5291515 github/fork/overlordmax/pr_5291527 github/fork/overlordmax/test_mmoe github/fork/overlordmax/wide_deep_04221053 github/fork/overlordmax/wide_deep_04221148 github/fork/overlordmax/youtube_05130940 github/fork/phlrain/update_bert_new_save_load github/fork/pkulzb/develop github/fork/qingqing01/trt_infer github/fork/qqraise/develop github/fork/shippingwang/add_TALL github/fork/shippingwang/add_TSN_SeResNeXt github/fork/shippingwang/add_benchmark github/fork/shippingwang/add_ce github/fork/shippingwang/add_colortwist github/fork/shippingwang/add_tsm_dy github/fork/shippingwang/fix_bugs_3 github/fork/shippingwang/speedup github/fork/shippingwang/upgrade_api_tsn github/fork/slf12/float_to_int github/fork/slf12/pact github/fork/slf12/seq2seq_ocr github/fork/sneaxiy/remove_gc_flags github/fork/sneaxiy/remove_mem_opt_strategies github/fork/sneaxiy/remove_paddle_reader_apis github/fork/soldier828/develop github/fork/songyouwei/typo-fix github/fork/tachyon77/patch-1 github/fork/tachyon77/patch-2 github/fork/typhoonzero/add_resnext github/fork/usafchn/hinas github/fork/walloollaw/fix-hang-in-ppdet github/fork/wanghaoshuang/enhence_auto_pruning github/fork/wanghaoshuang/fix_prune_demo github/fork/wanghaoshuang/fix_slim github/fork/wanghaoshuang/fix_slim_demo github/fork/wanghaoshuang/nb_slim github/fork/wangsouc/add-deep-and-cross github/fork/wangsouc/deepmf github/fork/willthefrog/dali_multi_eval github/fork/wopeizl/remove_profile github/fork/wzzju/add_bn_fuse github/fork/wzzju/test_dyquant github/fork/wzzju/test_mlperf github/fork/wzzju/test_mobilenet github/fork/xinaiwunai/develop github/fork/xixiaoyao/develop github/fork/xuezhong/dureader_v2 github/fork/zhangting2020/fuse_bn_add_act github/fork/zhengya01/HiNAS_models_ce github/fork/zhengya01/ce1 github/fork/zhengya01/ce_dgu github/fork/zhengya01/ce_human_pose_estimation github/fork/zhengya01/ce_tagspace github/fork/zhengya01/ce_transformer github/fork/zhengya01/ce_video github/fork/zhengya01/ce_word2vec github/fork/zhengya01/dy_lac github/fork/zhengya01/metric_learning_ce github/fork/zhengya01/vc_ce github/fork/zhiqiu/dev/resnet_amp github/fork/zhiqiu/dev/test_addto github/fork/zhumanyu/develop github/fork/zjzhangd/fix_policy_gradient github/fork/zzszmyf/develop github/fork/zzszmyf/patch-1 godfanmiao-patch-1 godfanmiao-patch-2 godfanmiao-patch-3 grasswolfs-patch-1 imguozhen-patch-1 junjun315-patch-1 kolinwei-patch-1 lac_1 lac_2 lsq-branch refine_reader release/1.0 release/1.1 release/1.3 release/1.4 release/1.5 release/1.6 release/1.7 release/2.0-beta release/2.2 release/2.3 release/2.4 revert-5689-release/2.3 revert-5695-PP-TinyPose tipc up_doc update-couplet-readme yxp1216 yxp1218 yxp1221 yxp1222 2.0.0-beta v2.0.0-beta v1.8.0 v1.7.0 v1.6 v1.5.1 v1.5 v1.4 v1.3 develop-align-v1.7.0
1 合并请求!4047add danet
# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
#
#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.
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import time
import numpy as np
import argparse
import functools
from eval_helper import get_nmsed_box
from eval_helper import get_dt_res
import paddle
import paddle.fluid as fluid
import reader
from utility import print_arguments, parse_args
# A special mAP metric for COCO dataset, which averages AP in different IoUs.
# To use this eval_coco_map.py, [cocoapi](https://github.com/cocodataset/cocoapi) is needed.
import models.model_builder as model_builder
import models.resnet as resnet
import json
......
# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
#
#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 numpy as np
import paddle.fluid as fluid
......
# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
#
#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.
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
......
# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
#
#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 paddle.fluid as fluid
from paddle.fluid.param_attr import ParamAttr
from paddle.fluid.initializer import Constant
......
# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
#
#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 paddle.fluid as fluid
from paddle.fluid.param_attr import ParamAttr
from paddle.fluid.initializer import Constant
......
# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
#
#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 time
import numpy as np
import argparse
import functools
import shutil
import cPickle
from utility import add_arguments, print_arguments
from utility import parse_args, add_arguments, print_arguments
import paddle
import paddle.fluid as fluid
......@@ -16,50 +27,12 @@ import models.model_builder as model_builder
import models.resnet as resnet
from learning_rate import exponential_with_warmup_decay
parser = argparse.ArgumentParser(description=__doc__)
add_arg = functools.partial(add_arguments, argparser=parser)
# yapf: disable
# ENV
add_arg('parallel', bool, True, "Minibatch size.")
add_arg('use_gpu', bool, True, "Whether use GPU.")
add_arg('model_save_dir', str, 'model', "The path to save model.")
add_arg('pretrained_model', str, 'imagenet_resnet50_fusebn', "The init model path.")
add_arg('dataset', str, 'coco2017', "coco2014, coco2017, and pascalvoc.")
add_arg('data_dir', str, 'data/COCO17', "data directory")
add_arg('skip_reader', bool, False, "Whether to skip data reader.")
add_arg('use_profile', bool, False, "Whether to use profiler tool.")
add_arg('class_num', int, 81, "Class number.")
add_arg('use_pyreader', bool, False, "Class number.")
# SOLVER
add_arg('learning_rate', float, 0.01, "Learning rate.")
add_arg('num_iteration', int, 10, "Epoch number.")
# RPN
add_arg('anchor_sizes', int, [32,64,128,256,512], "The size of anchors.")
add_arg('aspect_ratios', float, [0.5,1.0,2.0], "The ratio of anchors.")
add_arg('variance', float, [1.,1.,1.,1.], "The variance of anchors.")
add_arg('rpn_stride', float, 16., "Stride of the feature map that RPN is attached.")
# FAST RCNN
# TRAIN TEST
add_arg('batch_size', int, 1, "Minibatch size.")
add_arg('max_size', int, 1333, "The max resized image size.")
add_arg('scales', int, [800], "The resized image height.")
add_arg('batch_size_per_im',int, 512, "fast rcnn head batch size")
add_arg('mean_value', float, [102.9801, 115.9465, 122.7717], "pixel mean")
add_arg('debug', bool, False, "Debug mode")
#yapf: enable
def train(cfg):
batch_size = cfg.batch_size
learning_rate = cfg.learning_rate
image_shape = [3, cfg.max_size, cfg.max_size]
num_iterations = cfg.num_iteration
if cfg.debug:
fluid.default_startup_program().random_seed = 1000
fluid.default_main_program().random_seed = 1000
import random
random.seed(0)
np.random.seed(0)
num_iterations = cfg.max_iter
devices = os.getenv("CUDA_VISIBLE_DEVICES") or ""
devices_num = len(devices.split(","))
......@@ -72,21 +45,22 @@ def train(cfg):
use_random=False)
model.build_model(image_shape)
loss_cls, loss_bbox, rpn_cls_loss, rpn_reg_loss = model.loss()
loss_cls.persistable=True
loss_bbox.persistable=True
rpn_cls_loss.persistable=True
rpn_reg_loss.persistable=True
loss_cls.persistable = True
loss_bbox.persistable = True
rpn_cls_loss.persistable = True
rpn_reg_loss.persistable = True
loss = loss_cls + loss_bbox + rpn_cls_loss + rpn_reg_loss
boundaries = [120000, 160000]
values = [learning_rate, learning_rate*0.1, learning_rate*0.01]
values = [learning_rate, learning_rate * 0.1, learning_rate * 0.01]
optimizer = fluid.optimizer.Momentum(
learning_rate=exponential_with_warmup_decay(learning_rate=learning_rate,
learning_rate=exponential_with_warmup_decay(
learning_rate=learning_rate,
boundaries=boundaries,
values=values,
warmup_iter=500,
warmup_factor=1.0/3.0),
warmup_factor=1.0 / 3.0),
regularization=fluid.regularizer.L2Decay(0.0001),
momentum=0.9)
optimizer.minimize(loss)
......@@ -98,22 +72,33 @@ def train(cfg):
exe.run(fluid.default_startup_program())
if cfg.pretrained_model:
def if_exist(var):
return os.path.exists(os.path.join(cfg.pretrained_model, var.name))
fluid.io.load_vars(exe, cfg.pretrained_model, predicate=if_exist)
if cfg.parallel:
train_exe = fluid.ParallelExecutor(
use_cuda=bool(cfg.use_gpu), loss_name=loss.name)
assert cfg.batch_size % devices_num == 0, \
"batch_size = %d, devices_num = %d" %(cfg.batch_size, devices_num)
batch_size_per_dev = cfg.batch_size / devices_num
if cfg.use_pyreader:
train_reader = reader.train(cfg, batch_size=1, shuffle=not cfg.debug)
train_reader = reader.train(
cfg,
batch_size=batch_size_per_dev,
total_batch_size=cfg.batch_size,
padding_total=cfg.padding_minibatch,
shuffle=False)
py_reader = model.py_reader
py_reader.decorate_paddle_reader(train_reader)
else:
train_reader = reader.train(cfg, batch_size=cfg.batch_size, shuffle=not cfg.debug)
feeder = fluid.DataFeeder(place=place, feed_list=model.feeds())
train_reader = reader.train(
cfg, batch_size=cfg.batch_size, shuffle=False)
feeder = fluid.DataFeeder(place=place, feed_list=model.feeds())
fetch_list = [loss, loss_cls, loss_bbox, rpn_cls_loss, rpn_reg_loss]
......@@ -128,18 +113,23 @@ def train(cfg):
end_time = time.time()
reader_time.append(end_time - start_time)
start_time = time.time()
losses = train_exe.run(fetch_list=[v.name for v in fetch_list],
feed=feeder.feed(data))
if cfg.parallel:
losses = train_exe.run(fetch_list=[v.name for v in fetch_list],
feed=feeder.feed(data))
else:
losses = exe.run(fluid.default_main_program(),
fetch_list=[v.name for v in fetch_list],
feed=feeder.feed(data))
end_time = time.time()
run_time.append(end_time - start_time)
total_images += data[0][0].shape[0]
total_images += len(data)
lr = np.array(fluid.global_scope().find_var('learning_rate').get_tensor())
print("Batch {:d}, lr {:.6f}, loss {:.6f} ".format(
batch_id, lr[0], losses[0][0]))
lr = np.array(fluid.global_scope().find_var('learning_rate')
.get_tensor())
print("Batch {:d}, lr {:.6f}, loss {:.6f} ".format(batch_id, lr[0],
losses[0][0]))
return reader_time, run_time, total_images
def run_pyreader(iterations):
reader_time = [0]
run_time = []
......@@ -149,13 +139,19 @@ def train(cfg):
try:
for batch_id in range(iterations):
start_time = time.time()
losses = train_exe.run(fetch_list=[v.name for v in fetch_list])
if cfg.parallel:
losses = train_exe.run(
fetch_list=[v.name for v in fetch_list])
else:
losses = exe.run(fluid.default_main_program(),
fetch_list=[v.name for v in fetch_list])
end_time = time.time()
run_time.append(end_time - start_time)
total_images += devices_num
lr = np.array(fluid.global_scope().find_var('learning_rate').get_tensor())
print("Batch {:d}, lr {:.6f}, loss {:.6f} ".format(
batch_id, lr[0], losses[0][0]))
lr = np.array(fluid.global_scope().find_var('learning_rate')
.get_tensor())
print("Batch {:d}, lr {:.6f}, loss {:.6f} ".format(batch_id, lr[
0], losses[0][0]))
except fluid.core.EOFException:
py_reader.reset()
......@@ -167,20 +163,23 @@ def train(cfg):
run_func(2)
# profiling
start = time.time()
if cfg.use_profile:
use_profile = False
if use_profile:
with profiler.profiler('GPU', 'total', '/tmp/profile_file'):
reader_time, run_time, total_images = run(num_iterations)
reader_time, run_time, total_images = run_func(num_iterations)
else:
reader_time, run_time, total_images = run_func(num_iterations)
end = time.time()
total_time = end - start
print("Total time: {0}, reader time: {1} s, run time: {2} s, images/s: {3}".format(
total_time, np.sum(reader_time), np.sum(run_time), total_images / total_time))
print("Total time: {0}, reader time: {1} s, run time: {2} s, images/s: {3}".
format(total_time,
np.sum(reader_time),
np.sum(run_time), total_images / total_time))
if __name__ == '__main__':
args = parser.parse_args()
args = parse_args()
print_arguments(args)
data_args = reader.Settings(args)
......
# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
#
#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.
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import time
import sys
import numpy as np
import argparse
import functools
import time
import shutil
import cPickle
from utility import parse_args, print_arguments, SmoothedValue
import paddle
......@@ -117,7 +132,7 @@ def train(cfg):
iter_id, lr[0],
smoothed_loss.get_median_value(
), start_time - prev_start_time))
#print('cls_loss ', losses[1][0], ' reg_loss ', losses[2][0], ' loss_cls ', losses[3][0], ' loss_bbox ', losses[4][0])
sys.stdout.flush()
if (iter_id + 1) % cfg.snapshot_stride == 0:
save_model("model_iter{}".format(iter_id))
except fluid.core.EOFException:
......@@ -143,7 +158,7 @@ def train(cfg):
print("Iter {:d}, lr {:.6f}, loss {:.6f}, time {:.5f}".format(
iter_id, lr[0],
smoothed_loss.get_median_value(), start_time - prev_start_time))
#print('cls_loss ', losses[1][0], ' reg_loss ', losses[2][0], ' loss_cls ', losses[3][0], ' loss_bbox ', losses[4][0])
sys.stdout.flush()
if (iter_id + 1) % cfg.snapshot_stride == 0:
save_model("model_iter{}".format(iter_id))
if (iter_id + 1) == cfg.max_iter:
......
"""Contains common utility functions."""
# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
#
#Licensed under the Apache License, Version 2.0 (the "License");
......@@ -12,6 +11,9 @@
#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.
"""
Contains common utility functions.
"""
from __future__ import absolute_import
from __future__ import division
......@@ -83,8 +85,7 @@ class SmoothedValue(object):
def parse_args():
"""
return all args
"""return all args
"""
parser = argparse.ArgumentParser(description=__doc__)
add_arg = functools.partial(add_arguments, argparser=parser)
......
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