1 | /* Copyright 2022 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 | |
16 | #ifndef TENSORFLOW_CORE_KERNELS_STATELESS_RANDOM_OPS_V2_UTIL_H_ |
17 | #define TENSORFLOW_CORE_KERNELS_STATELESS_RANDOM_OPS_V2_UTIL_H_ |
18 | |
19 | // Utilities for V2 stateless random ops' (non-XLA) kernels. |
20 | |
21 | #include <string> |
22 | |
23 | #include "tensorflow/core/framework/op_kernel.h" |
24 | #include "tensorflow/core/kernels/stateless_random_ops_v2.h" |
25 | |
26 | namespace tensorflow { |
27 | |
28 | template <typename T> |
29 | Status GetScalar(const Tensor& tensor, int input_idx, T* result) { |
30 | auto dtype = DataTypeToEnum<T>::v(); |
31 | if (tensor.dims() != 0) { |
32 | return errors::InvalidArgument("input " , std::to_string(input_idx), |
33 | " (0-based) must have shape [], not " , |
34 | tensor.shape().DebugString()); |
35 | } |
36 | if (tensor.dtype() != dtype) { |
37 | return errors::InvalidArgument("dtype of input " , std::to_string(input_idx), |
38 | " (0-based) must be " , DataTypeString(dtype), |
39 | ", not " , DataTypeString(tensor.dtype())); |
40 | } |
41 | *result = tensor.flat<T>()(0); |
42 | return OkStatus(); |
43 | } |
44 | |
45 | inline StatusOr<std::tuple<Tensor, Tensor, Algorithm> > |
46 | GetKeyCounterAlgFromInputs(OpKernelContext* ctx, int key_input_idx, |
47 | int counter_input_idx, int alg_input_idx) { |
48 | const Tensor& key_t = ctx->input(key_input_idx); |
49 | const Tensor& counter_t = ctx->input(counter_input_idx); |
50 | const Tensor& alg_t = ctx->input(alg_input_idx); |
51 | |
52 | int alg_id; |
53 | TF_RETURN_IF_ERROR(GetScalar(alg_t, alg_input_idx, &alg_id)); |
54 | Algorithm alg = Algorithm(alg_id); |
55 | if (alg == RNG_ALG_AUTO_SELECT) { |
56 | alg = RNG_ALG_PHILOX; |
57 | } |
58 | |
59 | TF_RETURN_IF_ERROR( |
60 | CheckKeyCounterShape(alg, key_t.shape(), counter_t.shape())); |
61 | return std::make_tuple(key_t, counter_t, alg); |
62 | } |
63 | |
64 | } // end namespace tensorflow |
65 | |
66 | #endif // TENSORFLOW_CORE_KERNELS_STATELESS_RANDOM_OPS_V2_UTIL_H_ |
67 | |