| 123456789101112131415161718192021222324252627282930313233343536373839404142434445 |
- # Copyright (c) 2018 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 numpy as np
- def rerange_index(batch_size, samples_each_class):
- tmp = np.arange(0, batch_size * batch_size)
- tmp = tmp.reshape(-1, batch_size)
- rerange_index = []
- for i in range(batch_size):
- step = i // samples_each_class
- start = step * samples_each_class
- end = (step + 1) * samples_each_class
- pos_idx = []
- neg_idx = []
- for j, k in enumerate(tmp[i]):
- if j >= start and j < end:
- if j == i:
- pos_idx.insert(0, k)
- else:
- pos_idx.append(k)
- else:
- neg_idx.append(k)
- rerange_index += (pos_idx + neg_idx)
- rerange_index = np.array(rerange_index).astype(np.int32)
- return rerange_index
|