2 * Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
3 * Copyright 2019 The TensorFlow Authors. All Rights Reserved.
5 * Licensed under the Apache License, Version 2.0 (the "License");
6 * you may not use this file except in compliance with the License.
7 * You may obtain a copy of the License at
9 * http://www.apache.org/licenses/LICENSE-2.0
11 * Unless required by applicable law or agreed to in writing, software
12 * distributed under the License is distributed on an "AS IS" BASIS,
13 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
14 * See the License for the specific language governing permissions and
15 * limitations under the License.
18 #include "kernels/Rsqrt.h"
19 #include "kernels/Utils.h"
23 namespace luci_interpreter
29 Rsqrt::Rsqrt(const Tensor *input, Tensor *output) : Kernel({input}, {output}) {}
31 void Rsqrt::configure()
33 if (input()->element_type() != output()->element_type())
35 assert(false && "Input/output tensor data type mismatch.");
37 // TODO: enable it only if kernel with dynamic shapes
38 output()->resize(input()->shape());
41 void Rsqrt::execute() const
43 switch (input()->element_type())
45 case DataType::FLOAT32:
50 assert(false && "Unsupported type.");
54 void Rsqrt::evalFloat() const
56 auto in = getTensorData<float>(input());
57 auto out = getTensorData<float>(output());
58 auto size = getTensorShape(input()).FlatSize();
59 for (auto i = in; i != in + size; ++i)
61 *out = 1.f / std::sqrt(*i);
66 } // namespace kernels
67 } // namespace luci_interpreter