1# Copyright 2018 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"""Utilities for generating Tensor-valued random seeds.""" 16 17from __future__ import absolute_import 18from __future__ import division 19from __future__ import print_function 20 21from tensorflow.python.framework import constant_op 22from tensorflow.python.framework import dtypes 23from tensorflow.python.framework import ops 24from tensorflow.python.framework import random_seed 25from tensorflow.python.ops import array_ops 26from tensorflow.python.ops import math_ops 27 28 29def get_seed(seed): 30 """Returns the local seeds an operation should use given an op-specific seed. 31 32 See `tf.get_seed` for more details. This wrapper adds support for the case 33 where `seed` may be a tensor. 34 35 Args: 36 seed: An integer or a `tf.int64` scalar tensor. 37 38 Returns: 39 A tuple of two `tf.int64` scalar tensors that should be used for the local 40 seed of the calling dataset. 41 """ 42 seed, seed2 = random_seed.get_seed(seed) 43 if seed is None: 44 seed = constant_op.constant(0, dtype=dtypes.int64, name="seed") 45 else: 46 seed = ops.convert_to_tensor(seed, dtype=dtypes.int64, name="seed") 47 if seed2 is None: 48 seed2 = constant_op.constant(0, dtype=dtypes.int64, name="seed2") 49 else: 50 with ops.name_scope("seed2") as scope: 51 seed2 = ops.convert_to_tensor(seed2, dtype=dtypes.int64) 52 seed2 = array_ops.where( 53 math_ops.logical_and( 54 math_ops.equal(seed, 0), math_ops.equal(seed2, 0)), 55 constant_op.constant(2**31 - 1, dtype=dtypes.int64), 56 seed2, 57 name=scope) 58 return seed, seed2 59