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| # Copyright 2021 DeepMind Technologies Limited | |
| # | |
| # 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. | |
| """Shared utilities for various components.""" | |
| import tensorflow.compat.v1 as tf | |
| def tf_combine_mask(*masks): | |
| """Take the intersection of float-valued masks.""" | |
| ret = 1 | |
| for m in masks: | |
| ret *= m | |
| return ret | |
| class SeedMaker(object): | |
| """Return unique seeds.""" | |
| def __init__(self, initial_seed=0): | |
| self.next_seed = initial_seed | |
| def __call__(self): | |
| i = self.next_seed | |
| self.next_seed += 1 | |
| return i | |
| seed_maker = SeedMaker() | |
| def make_random_seed(): | |
| return tf.random.uniform([2], | |
| tf.int32.min, | |
| tf.int32.max, | |
| tf.int32, | |
| seed=seed_maker()) | |