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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())