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
22namespace android {
23namespace nn {
24
25bool 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
44bool 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