// Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
//
// 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.

#pragma once

#include "lite/core/kernel.h"

namespace paddle {
namespace lite {
namespace kernels {
namespace xpu {

static inline int CanonicalAxis(const int axis, const int rank) {
  if (axis < 0) {
    return axis + rank;
  }
  return axis;
}

static inline int SizeToAxis(const int axis, lite::DDim dims) {
  int size = 1;
  for (int i = 0; i < axis; i++) {
    size *= dims[i];
  }
  return size;
}

static inline int SizeFromAxis(const int axis, lite::DDim dims) {
  int size = 1;
  for (size_t i = axis; i < dims.size(); i++) {
    size *= dims[i];
  }
  return size;
}

class SoftmaxCompute : public KernelLite<TARGET(kXPU), PRECISION(kFloat)> {
 public:
  using param_t = operators::SoftmaxParam;

  virtual void Run();

  virtual ~SoftmaxCompute() = default;
};

}  // namespace xpu
}  // namespace kernels
}  // namespace lite
}  // namespace paddle