1 /*
2 * Copyright (C) 2017 The Android Open Source Project
3 *
4 * Licensed under the Apache License, Version 2.0 (the "License");
5 * you may not use this file except in compliance with the License.
6 * You may obtain a copy of the License at
7 *
8 * http://www.apache.org/licenses/LICENSE-2.0
9 *
10 * Unless required by applicable law or agreed to in writing, software
11 * distributed under the License is distributed on an "AS IS" BASIS,
12 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13 * See the License for the specific language governing permissions and
14 * limitations under the License.
15 */
16
17 #include "Operations.h"
18 #include "CpuOperationUtils.h"
19
20 #include "tensorflow/contrib/lite/kernels/internal/optimized/optimized_ops.h"
21
22 namespace android {
23 namespace nn {
24
l2normFloat32(const float * inputData,const Shape & inputShape,float * outputData,const Shape & outputShape)25 bool l2normFloat32(const float* inputData, const Shape& inputShape,
26 float* outputData, const Shape& outputShape) {
27 tflite::optimized_ops::L2Normalization<tflite::FusedActivationFunctionType::kNone>(
28 inputData, convertShapeToDims(inputShape),
29 outputData, convertShapeToDims(outputShape));
30
31 return true;
32 }
33
l2normQuant8(const uint8_t * inputData,const Shape & inputShape,uint8_t * outputData,const Shape & outputShape)34 bool l2normQuant8(const uint8_t* inputData, const Shape& inputShape,
35 uint8_t* outputData, const Shape& outputShape) {
36 tflite::optimized_ops::L2Normalization(
37 inputData, convertShapeToDims(inputShape),
38 inputShape.offset,
39 outputData, convertShapeToDims(outputShape));
40
41 return true;
42 }
43
localResponseNormFloat32(const float * inputData,const Shape & inputShape,int32_t radius,float bias,float alpha,float beta,float * outputData,const Shape & outputShape)44 bool localResponseNormFloat32(const float* inputData, const Shape& inputShape,
45 int32_t radius, float bias, float alpha, float beta,
46 float* outputData, const Shape& outputShape) {
47 tflite::optimized_ops::LocalResponseNormalization(
48 inputData, convertShapeToDims(inputShape),
49 radius, bias, alpha, beta,
50 outputData, convertShapeToDims(outputShape));
51
52 return true;
53 }
54 } // namespace nn
55 } // namespace android
56