caffe2/operators/elementwise_mul_op.h

#ifndef CAFFE2_OPERATORS_ELEMENTWISE_MUL_OP_H_
#define CAFFE2_OPERATORS_ELEMENTWISE_MUL_OP_H_

#include <vector>

#include "caffe2/operators/elementwise_ops.h"
#include "caffe2/utils/math.h"

namespace caffe2 {

namespace {

template <typename TGrad, typename TIn>
void ComputeMulGradient(
    const int ndim,
    const int* A_dims,
    const int* B_dims,
    const int* C_dims,
    const TGrad* dC,
    const TIn* A,
    const TIn* B,
    TGrad* dA,
    TGrad* dB,
    CPUContext* context) {
  const int A_size =
      std::accumulate(A_dims, A_dims + ndim, 1, std::multiplies<int>());
  const int B_size =
      std::accumulate(B_dims, B_dims + ndim, 1, std::multiplies<int>());
  const int C_size =
      std::accumulate(C_dims, C_dims + ndim, 1, std::multiplies<int>());
  math::Set<TGrad, CPUContext>(A_size, TGrad(0), dA, context);
  math::Set<TGrad, CPUContext>(B_size, TGrad(0), dB, context);
  std::vector<int> index(ndim, 0);
  for (int C_index = 0; C_index < C_size; ++C_index) {
    const int A_index =
        math::utils::GetIndexFromDims(ndim, A_dims, index.data());
    const int B_index =
        math::utils::GetIndexFromDims(ndim, B_dims, index.data());
    dA[A_index] += dC[C_index] * B[B_index];
    dB[B_index] += dC[C_index] * A[A_index];
    math::utils::IncreaseIndexInDims(ndim, C_dims, index.data());
  }
}

} // namespace

template <class Context>
struct MulFunctor {
  template <typename TIn, typename TOut>
  bool Forward(
      const std::vector<int>& A_dims,
      const std::vector<int>& B_dims,
      const TIn* A,
      const TIn* B,
      TOut* C,
      Context* context) const {
    math::Mul(
        A_dims.size(),
        A_dims.data(),
        B_dims.size(),
        B_dims.data(),
        A,
        B,
        C,
        context);
    return true;
  }

  template <typename TGrad, typename TIn, typename TOut>
  bool Backward(
      const std::vector<int>& A_dims,
      const std::vector<int>& B_dims,
      const TGrad* dC_data,
      const TIn* A_data,
      const TIn* B_data,
      const TOut* C_data,
      TGrad* dA_data,
      TGrad* dB_data,
      Context* context) const;
};

template <>
template <typename TGrad, typename TIn, typename TOut>
bool MulFunctor<CPUContext>::Backward(
    const std::vector<int>& A_dims,
    const std::vector<int>& B_dims,
    const TGrad* dC,
    const TIn* A,
    const TIn* B,
    const TOut* /* C */,
    TGrad* dA,
    TGrad* dB,
    CPUContext* context) const {
  if (A_dims == B_dims) {
    const int size = std::accumulate(
        A_dims.cbegin(), A_dims.cend(), 1, std::multiplies<int>());
    math::Mul(size, dC, B, dA, context);
    math::Mul(size, dC, A, dB, context);
    return true;
  }
  const int ndim = std::max(A_dims.size(), B_dims.size());
  std::vector<int> A_broadcast_dims(ndim);
  std::vector<int> B_broadcast_dims(ndim);
  std::vector<int> C_broadcast_dims(ndim);
  math::utils::ComputeBroadcastBinaryOpDims(
      A_dims.size(),
      A_dims.data(),
      B_dims.size(),
      B_dims.data(),
      A_broadcast_dims.data(),
      B_broadcast_dims.data(),
      C_broadcast_dims.data());
  ComputeMulGradient<TGrad, TIn>(
      ndim,
      A_broadcast_dims.data(),
      B_broadcast_dims.data(),
      C_broadcast_dims.data(),
      dC,
      A,
      B,
      dA,
      dB,
      context);
  return true;
}

} // namespace caffe2

#endif // CAFFE2_OPERATORS_ELEMENTWISE_MUL_OP_H_