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
concatenationFloat32(const std::vector<const float * > & inputDataPtrs,const std::vector<Shape> & inputShapes,int32_t axis,float * outputData,const Shape & outputShape)25 bool concatenationFloat32(const std::vector<const float*>& inputDataPtrs,
26 const std::vector<Shape>& inputShapes, int32_t axis,
27 float* outputData, const Shape& outputShape) {
28 int num_inputs = inputShapes.size();
29 std::vector<tflite::Dims<4>*> inputDimsPtr(num_inputs);
30 std::vector<tflite::Dims<4> > inputDims(num_inputs);
31 for (int i=0; i<num_inputs; i++) {
32 inputDims[i] = convertShapeToDims(inputShapes[i]);
33 inputDimsPtr[i] = &inputDims[i];
34 }
35
36 tflite::optimized_ops::Concatenation<tflite::FusedActivationFunctionType::kNone, float>(
37 getNumberOfDimensions(outputShape) - axis - 1,
38 inputDataPtrs.data(), inputDimsPtr.data(), num_inputs,
39 outputData, convertShapeToDims(outputShape));
40
41 return true;
42 }
43
concatenationQuant8(const std::vector<const uint8_t * > & inputDataPtrs,const std::vector<Shape> & inputShapes,int32_t axis,uint8_t * outputData,const Shape & outputShape)44 bool concatenationQuant8(const std::vector<const uint8_t*>& inputDataPtrs,
45 const std::vector<Shape>& inputShapes, int32_t axis,
46 uint8_t* outputData, const Shape& outputShape) {
47 int num_inputs = inputShapes.size();
48 std::vector<tflite::Dims<4>*> inputDimsPtr(num_inputs);
49 std::vector<tflite::Dims<4> > inputDims(num_inputs);
50 for (int i=0; i<num_inputs; i++) {
51 inputDims[i] = convertShapeToDims(inputShapes[i]);
52 inputDimsPtr[i] = &inputDims[i];
53 }
54
55 tflite::optimized_ops::Concatenation<tflite::FusedActivationFunctionType::kNone, uint8_t>(
56 getNumberOfDimensions(outputShape) - axis - 1,
57 inputDataPtrs.data(), inputDimsPtr.data(), num_inputs,
58 outputData, convertShapeToDims(outputShape));
59
60 return true;
61 }
62 } // namespace nn
63 } // namespace android
64