1 # Copyright 2017 The TensorFlow Authors. All Rights Reserved. 2 # 3 # Licensed under the Apache License, Version 2.0 (the "License"); 4 # you may not use this file except in compliance with the License. 5 # You may obtain a copy of the License at 6 # 7 # http://www.apache.org/licenses/LICENSE-2.0 8 # 9 # Unless required by applicable law or agreed to in writing, software 10 # distributed under the License is distributed on an "AS IS" BASIS, 11 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 12 # See the License for the specific language governing permissions and 13 # limitations under the License. 14 # ============================================================================== 15 """Resampling dataset transformations.""" 16 from __future__ import absolute_import 17 from __future__ import division 18 from __future__ import print_function 19 20 from tensorflow.python.data.experimental.ops import resampling 21 from tensorflow.python.util import deprecation 22 23 24 @deprecation.deprecated(None, 25 "Use `tf.data.experimental.rejection_resample(...)`.") 26 def rejection_resample(class_func, target_dist, initial_dist=None, seed=None): 27 """A transformation that resamples a dataset to achieve a target distribution. 28 29 **NOTE** Resampling is performed via rejection sampling; some fraction 30 of the input values will be dropped. 31 32 Args: 33 class_func: A function mapping an element of the input dataset to a scalar 34 `tf.int32` tensor. Values should be in `[0, num_classes)`. 35 target_dist: A floating point type tensor, shaped `[num_classes]`. 36 initial_dist: (Optional.) A floating point type tensor, shaped 37 `[num_classes]`. If not provided, the true class distribution is 38 estimated live in a streaming fashion. 39 seed: (Optional.) Python integer seed for the resampler. 40 41 Returns: 42 A `Dataset` transformation function, which can be passed to 43 `tf.data.Dataset.apply`. 44 """ 45 return resampling.rejection_resample(class_func, target_dist, initial_dist, 46 seed) 47
