text: /*
   * Copyright (C) 2018 The Android Open Source Project
   *
   * Licensed under the Apache License, Version 2.0 (the "License");
   * you may not use this file except in compliance with the License.
   * You may obtain a copy of the License at
   *
   *      http://www.apache.org/licenses/LICENSE-2.0
   *
   * Unless required by applicable law or agreed to in writing, software
   * distributed under the License is distributed on an "AS IS" BASIS,
   * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
   * See the License for the specific language governing permissions and
   * limitations under the License.
   */
  
  #define LOG_TAG "Operations"
  
  #include "Split.h"
  
  #include <vector>
  
  #include "Operations.h"
  #include "OperationsUtils.h"
  #include "Tracing.h"
  
  namespace android {
  namespace nn {
  
  template <typename Scalar>
  bool splitGeneric(const Scalar* inputData, const Shape& inputShape, int32_t axis,
                    const std::vector<Scalar*>* outputDataPtrs,
                    const std::vector<Shape>& outputShapes) {
      NN_CHECK(handleNegativeAxis(inputShape, &axis));
      int outerSize = 1;
      for (int i = 0; i < axis; ++i) {
          outerSize *= inputShape.dimensions[i];
      }
      int baseInnerSize = 1;
      int concatDimensions = getNumberOfDimensions(inputShape);
      for (int i = axis + 1; i < concatDimensions; ++i) {
          baseInnerSize *= inputShape.dimensions[i];
      }
  
      const Scalar* inputPtr = inputData;
      for (int k = 0; k < outerSize; k++) {
          for (size_t i = 0; i < outputDataPtrs->size(); ++i) {
              const int copySize = outputShapes[i].dimensions[axis] * baseInnerSize;
              memcpy(outputDataPtrs->at(i) + k * copySize, inputPtr, copySize * sizeof(Scalar));
              inputPtr += copySize;
          }
      }
  
      return true;
  }
  
  bool splitFloat16(const _Float16* inputData, const Shape& inputShape, int32_t axis,
                    const std::vector<_Float16*>* outputDataPtrs,
                    const std::vector<Shape>& outputShapes) {
      NNTRACE_COMP("splitFloat16");
      return splitGeneric<_Float16>(inputData, inputShape, axis, outputDataPtrs, outputShapes);
  }
  
  bool splitFloat32(const float* inputData, const Shape& inputShape, int32_t axis,
                    const std::vector<float*>* outputDataPtrs,
                    const std::vector<Shape>& outputShapes) {
      NNTRACE_COMP("splitFloat32");
      return splitGeneric<float>(inputData, inputShape, axis, outputDataPtrs, outputShapes);
  }
  
  bool splitQuant8(const uint8_t* inputData, const Shape& inputShape, int32_t axis,
                   const std::vector<uint8_t*>* outputDataPtrs,
                   const std::vector<Shape>& outputShapes) {
      NNTRACE_COMP("splitQuant8");
      return splitGeneric<uint8_t>(inputData, inputShape, axis, outputDataPtrs, outputShapes);
  }
  
  bool splitQuant8Signed(const int8_t* inputData, const Shape& inputShape, int32_t axis,
                         const std::vector<int8_t*>* outputDataPtrs,
                         const std::vector<Shape>& outputShapes) {
      NNTRACE_COMP("splitQuant8Signed");
      return splitGeneric<int8_t>(inputData, inputShape, axis, outputDataPtrs, outputShapes);
  }
  
  bool splitInt32(const int32_t* inputData, const Shape& inputShape, int32_t axis,
                  const std::vector<int32_t*>* outputDataPtrs,
                  const std::vector<Shape>& outputShapes) {
      NNTRACE_COMP("splitInt32");
      return splitGeneric<int32_t>(inputData, inputShape, axis, outputDataPtrs, outputShapes);
  }
  
  }  // namespace nn
  }  // namespace android
  