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

38 lines
1.2 KiB
Python

# 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.
from __future__ import absolute_import, division, print_function, unicode_literals
import paddle
class UnpackDataLoader(paddle.io.DataLoader):
def __init__(self, *args, **kwargs):
super(UnpackDataLoader, self).__init__(*args, batch_size=1, **kwargs)
def __iter__(self):
return ([yy[0] for yy in y] for y in super(UnpackDataLoader, self).__iter__())
def create_if_not_exists(dir):
try:
dir.mkdir(parents=True)
except:
pass
return dir
def get_warmup_and_linear_decay(max_steps, warmup_steps):
return lambda step: min(step / warmup_steps, 1.0 - (step - warmup_steps) / (max_steps - warmup_steps))