/* Copyright (c) 2016 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 <math.h>
#include <type_traits>
#include "paddle/framework/op_registry.h"
#include "paddle/platform/transform.h"

namespace paddle {
namespace operators {

template <typename T>
struct LogicalAndFunctor {
  using ELEM_TYPE = T;
  HOSTDEVICE bool operator()(const T& a, const T& b) const { return a && b; }
};

template <typename T>
struct LogicalOrFunctor {
  using ELEM_TYPE = T;
  HOSTDEVICE bool operator()(const T& a, const T& b) const { return a || b; }
};

template <typename T>
struct LogicalNotFunctor {
  using ELEM_TYPE = T;
  HOSTDEVICE bool operator()(const T& a) const { return !a; }
};

template <typename T>
struct LogicalXorFunctor {
  using ELEM_TYPE = T;
  HOSTDEVICE bool operator()(const T& a, const T& b) const {
    return (a || b) && !(a && b);
  }
};

template <typename DeviceContext, typename Functor>
class BinaryLogicalOpKernel
    : public framework::OpKernel<typename Functor::ELEM_TYPE> {
 public:
  void Compute(const framework::ExecutionContext& context) const override {
    using T = typename Functor::ELEM_TYPE;
    auto* x = context.Input<framework::Tensor>("X");
    auto* y = context.Input<framework::Tensor>("Y");
    auto* out = context.Output<framework::Tensor>("Out");
    Functor binary_func;
    platform::Transform<DeviceContext> trans;
    trans(context.template device_context<DeviceContext>(), x->data<T>(),
          x->data<T>() + x->numel(), y->data<T>(),
          out->mutable_data<bool>(context.GetPlace()), binary_func);
  }
};

template <typename DeviceContext, typename Functor>
class UnaryLogicalOpKernel
    : public framework::OpKernel<typename Functor::ELEM_TYPE> {
 public:
  void Compute(const framework::ExecutionContext& context) const override {
    using T = typename Functor::ELEM_TYPE;
    auto* x = context.Input<framework::Tensor>("X");
    auto* out = context.Output<framework::Tensor>("Out");
    Functor unary_func;
    platform::Transform<DeviceContext> trans;
    trans(context.template device_context<DeviceContext>(), x->data<T>(),
          x->data<T>() + x->numel(),
          out->mutable_data<bool>(context.GetPlace()), unary_func);
  }
};

}  // namespace operators
}  // namespace paddle

#define REGISTER_BINARY_LOGICAL_KERNEL(op_type, dev, functor) \
  REGISTER_OP_##dev##_KERNEL(                                 \
      op_type, ::paddle::operators::BinaryLogicalOpKernel<    \
                   ::paddle::platform::dev##DeviceContext, functor<bool>>);

#define REGISTER_UNARY_LOGICAL_KERNEL(op_type, dev, functor) \
  REGISTER_OP_##dev##_KERNEL(                                \
      op_type, ::paddle::operators::UnaryLogicalOpKernel<    \
                   ::paddle::platform::dev##DeviceContext, functor<bool>>);