// 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.

#include "lite/kernels/mlu/calib_compute.h"
#include <vector>
#include "lite/backends/arm/math/type_trans.h"
#include "lite/core/op_registry.h"
#include "lite/core/type_system.h"

namespace paddle {
namespace lite {
namespace kernels {
namespace mlu {

void CalibComputeFp32ToInt8::Run() {
  // auto& param = this->Param<operators::CalibParam>();
  // std::vector<float> scale = {param.scale};
  // const auto* din = param.input->data<float>();
  // auto* dout = param.output->mutable_data<signed char>();
  // lite::arm::math::fp32_to_int8(
  //     din, dout, scale.data(), 1, 1, param.input->numel());
  // return;
}

void CalibComputeInt8ToFp32::Run() {
  // auto& param = this->Param<operators::CalibParam>();
  // const auto* din = param.input->data<signed char>();
  // std::vector<float> scale = {param.scale};
  // auto* dout = param.output->mutable_data<float>();
  // lite::arm::math::int8_to_fp32(
  //     din, dout, scale.data(), 1, 1, param.input->numel());
  // return;
}

}  // namespace mlu
}  // namespace kernels
}  // namespace lite
}  // namespace paddle

REGISTER_LITE_KERNEL(calib,
                     kMLU,
                     kInt8,
                     kNCHW,
                     paddle::lite::kernels::mlu::CalibComputeFp32ToInt8,
                     fp32_to_int8)
    .BindInput("Input",
               {LiteType::GetTensorTy(TARGET(kMLU), PRECISION(kFloat))})
    .BindOutput("Out", {LiteType::GetTensorTy(TARGET(kMLU), PRECISION(kInt8))})
    .Finalize();

REGISTER_LITE_KERNEL(calib,
                     kMLU,
                     kInt8,
                     kNCHW,
                     paddle::lite::kernels::mlu::CalibComputeInt8ToFp32,
                     int8_to_fp32)
    .BindInput("Input", {LiteType::GetTensorTy(TARGET(kMLU), PRECISION(kInt8))})
    .BindOutput("Out", {LiteType::GetTensorTy(TARGET(kMLU), PRECISION(kFloat))})
    .Finalize();
REGISTER_LITE_KERNEL(calib_once,
                     kMLU,
                     kInt8,
                     kNCHW,
                     paddle::lite::kernels::mlu::CalibComputeFp32ToInt8,
                     fp32_to_int8)
    .BindInput("Input",
               {LiteType::GetTensorTy(TARGET(kMLU), PRECISION(kFloat))})
    .BindOutput("Out", {LiteType::GetTensorTy(TARGET(kMLU), PRECISION(kInt8))})
    .Finalize();

REGISTER_LITE_KERNEL(calib_once,
                     kMLU,
                     kInt8,
                     kNCHW,
                     paddle::lite::kernels::mlu::CalibComputeInt8ToFp32,
                     int8_to_fp32)
    .BindInput("Input", {LiteType::GetTensorTy(TARGET(kMLU), PRECISION(kInt8))})
    .BindOutput("Out", {LiteType::GetTensorTy(TARGET(kMLU), PRECISION(kFloat))})
    .Finalize();