train.py 4.0 KB
Newer Older
L
LDOUBLEV 已提交
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20
# Copyright (c) 2020 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.

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

import os
import sys
L
LDOUBLEV 已提交
21 22 23
__dir__ = os.path.dirname(__file__)
sys.path.append(__dir__)
sys.path.append(os.path.join(__dir__, '..'))
L
LDOUBLEV 已提交
24 25 26 27 28 29 30 31 32 33


def set_paddle_flags(**kwargs):
    for key, value in kwargs.items():
        if os.environ.get(key, None) is None:
            os.environ[key] = str(value)


# NOTE(paddle-dev): All of these flags should be
# set before `import paddle`. Otherwise, it would
T
tink2123 已提交
34
# not take any effect.
L
LDOUBLEV 已提交
35 36 37 38
set_paddle_flags(
    FLAGS_eager_delete_tensor_gb=0,  # enable GC to save memory
)

39
import tools.program as program
L
LDOUBLEV 已提交
40 41 42 43 44
from paddle import fluid
from ppocr.utils.utility import initial_logger
logger = initial_logger()
from ppocr.data.reader_main import reader_main
from ppocr.utils.save_load import init_model
农夫三拳_'s avatar
农夫三拳_ 已提交
45
from paddle.fluid.contrib.model_stat import summary
L
LDOUBLEV 已提交
46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73


def main():
    train_build_outputs = program.build(
        config, train_program, startup_program, mode='train')
    train_loader = train_build_outputs[0]
    train_fetch_name_list = train_build_outputs[1]
    train_fetch_varname_list = train_build_outputs[2]
    train_opt_loss_name = train_build_outputs[3]

    eval_program = fluid.Program()
    eval_build_outputs = program.build(
        config, eval_program, startup_program, mode='eval')
    eval_fetch_name_list = eval_build_outputs[1]
    eval_fetch_varname_list = eval_build_outputs[2]
    eval_program = eval_program.clone(for_test=True)

    train_reader = reader_main(config=config, mode="train")
    train_loader.set_sample_list_generator(train_reader, places=place)

    eval_reader = reader_main(config=config, mode="eval")

    exe = fluid.Executor(place)
    exe.run(startup_program)

    # compile program for multi-devices
    train_compile_program = program.create_multi_devices_program(
        train_program, train_opt_loss_name)
农夫三拳_'s avatar
农夫三拳_ 已提交
74 75 76

    # dump mode structure
    if config['Global']['debug']:
77
        if 'attention' in config['Global']['loss_type']:
农夫三拳_'s avatar
农夫三拳_ 已提交
78 79 80 81
            logger.warning('Does not suport dump attention...')
        else:
            summary(train_program)

L
LDOUBLEV 已提交
82 83 84 85 86 87 88 89 90 91 92 93 94
    init_model(config, train_program, exe)

    train_info_dict = {'compile_program':train_compile_program,\
        'train_program':train_program,\
        'reader':train_loader,\
        'fetch_name_list':train_fetch_name_list,\
        'fetch_varname_list':train_fetch_varname_list}

    eval_info_dict = {'program':eval_program,\
        'reader':eval_reader,\
        'fetch_name_list':eval_fetch_name_list,\
        'fetch_varname_list':eval_fetch_varname_list}

S
shaohua.zhang 已提交
95
    if isContain_det:
L
LDOUBLEV 已提交
96 97 98 99 100
        program.train_eval_det_run(config, exe, train_info_dict, eval_info_dict)
    else:
        program.train_eval_rec_run(config, exe, train_info_dict, eval_info_dict)


101
def test_reader():
littletomatodonkey's avatar
littletomatodonkey 已提交
102
    logger.info(config)
103 104 105 106 107 108 109 110 111 112
    train_reader = reader_main(config=config, mode="train")
    import time
    starttime = time.time()
    count = 0
    try:
        for data in train_reader():
            count += 1
            if count % 1 == 0:
                batch_time = time.time() - starttime
                starttime = time.time()
littletomatodonkey's avatar
littletomatodonkey 已提交
113
                logger.info("reader:", count, len(data), batch_time)
114
    except Exception as e:
L
LDOUBLEV 已提交
115 116
        logger.info(e)
    logger.info("finish reader: {}, Success!".format(count))
117 118


L
LDOUBLEV 已提交
119
if __name__ == '__main__':
S
shaohua.zhang 已提交
120
    startup_program, train_program, place, config, isContain_det = program.preProcess()
L
LDOUBLEV 已提交
121 122
    main()
#     test_reader()