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#ifndef CAFFE2_UTILS_MATH_REDUCE_H_
#define CAFFE2_UTILS_MATH_REDUCE_H_
#include "caffe2/core/common.h"
#include "caffe2/core/types.h"
namespace caffe2 {
class Tensor;
namespace math {
template <typename T, class Context>
TORCH_API void
ReduceMin(const int N, const T* X, T* y, Tensor* scratch_ptr, Context* context);
template <typename T, class Context>
TORCH_API void
ReduceMax(const int N, const T* X, T* y, Tensor* scratch_ptr, Context* context);
// In all of the reduce functions, X_dims and Y_dims should have ndim elements.
// Each dimension of Y_dims must match the corresponding dimension of X_dims or
// must be equal to 1. The dimensions equal to 1 indicate the dimensions of X to
// be reduced.
// Y = alpha * ReduceMin(X)
template <typename T, class Context>
TORCH_API void ReduceMin(
const int ndim,
const int* X_dims,
const int* Y_dims,
const T alpha,
const T* X,
T* Y,
Context* context,
bool allow_broadcast_fastpath=false);
// Y = alpha * ReduceMax(X)
template <typename T, class Context>
TORCH_API void ReduceMax(
const int ndim,
const int* X_dims,
const int* Y_dims,
const T alpha,
const T* X,
T* Y,
Context* context,
bool allow_broadcast_fastpath=false);
// Y = alpha * ReduceSum(X)
template <typename T, class Context>
TORCH_API void ReduceSum(
const int ndim,
const int* X_dims,
const int* Y_dims,
const T alpha,
const T* X,
T* Y,
Context* context,
bool allow_broadcast_fastpath=false);
// Y = alpha * ReduceMean(X)
template <typename T, class Context>
TORCH_API void ReduceMean(
const int ndim,
const int* X_dims,
const int* Y_dims,
const T alpha,
const T* X,
T* Y,
Context* context,
bool allow_broadcast_fastpath=false);
// Y = alpha * ReduceL1(X)
template <typename T, class Context>
TORCH_API void ReduceL1(
const int ndim,
const int* X_dims,
const int* Y_dims,
const T alpha,
const T* X,
T* Y,
Context* context,
bool allow_broadcast_fastpath=false);
// Y = alpha * ReduceL2(X)
template <typename T, class Context>
TORCH_API void ReduceL2(
const int ndim,
const int* X_dims,
const int* Y_dims,
const T alpha,
const T* X,
T* Y,
Context* context,
bool allow_broadcast_fastpath=false);
// Computes mean and variance over axes.
template <typename T, class Context>
TORCH_API void Moments(
const int ndims,
const int* X_dims,
const int* Y_dims,
const T* X,
T* mean,
T* var,
Context* context,
bool allow_broadcast_fastpath=false);
} // namespace math
} // namespace caffe2
#endif // CAFFE2_UTILS_MATH_REDUCE_H_
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