conv_compute.cc

// 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/bm/conv_compute.h"
#include <vector>
#include "lite/core/op_registry.h"

namespace paddle {
namespace lite {
namespace kernels {
namespace bm {

template class ConvComputeInt8<PRECISION(kInt8)>;
template class ConvComputeInt8<PRECISION(kFloat)>;

}  // namespace bm
}  // namespace kernels
}  // namespace lite
}  // namespace paddle

REGISTER_LITE_KERNEL(
    conv2d, kBM, kFloat, kNCHW, paddle::lite::kernels::bm::ConvCompute, def)
    .BindInput("Input",
               {LiteType::GetTensorTy(TARGET(kBM),
                                      PRECISION(kFloat),
                                      DATALAYOUT(kNCHW))})
    .BindInput("Bias",
               {LiteType::GetTensorTy(TARGET(kBM), PRECISION(kFloat))})
    .BindInput("Filter",
               {LiteType::GetTensorTy(TARGET(kBM),
                                      PRECISION(kFloat),
                                      DATALAYOUT(kNCHW))})
    .BindOutput("Output",
                {LiteType::GetTensorTy(TARGET(kBM),
                                       PRECISION(kFloat),
                                       DATALAYOUT(kNCHW))})
    .Finalize();

REGISTER_LITE_KERNEL(
    conv2d,
    kBM,
    kInt8,
    kNCHW,
    paddle::lite::kernels::bm::ConvComputeInt8<PRECISION(kInt8)>,
    int8_out)
    .BindInput("Input",
               {LiteType::GetTensorTy(TARGET(kBM),
                                      PRECISION(kInt8),
                                      DATALAYOUT(kNCHW))})
    .BindInput("Bias",
               {LiteType::GetTensorTy(TARGET(kBM), PRECISION(kFloat))})
    .BindInput("Filter",
               {LiteType::GetTensorTy(TARGET(kBM),
                                      PRECISION(kInt8),
                                      DATALAYOUT(kNCHW))})
    .BindOutput("Output",
                {LiteType::GetTensorTy(TARGET(kBM),
                                       PRECISION(kInt8),
                                       DATALAYOUT(kNCHW))})
    .Finalize();