// 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 <bmcompiler_op_code.h>
#include <bmcompiler_if.h>
#include "lite/kernels/npu/bridges/registry.h"
#include "lite/kernels/bm/bridges/graph.h"
#include "lite/kernels/bm/bridges/utility.h"


namespace paddle {
namespace lite {
namespace subgraph {
namespace bm {

int ScaleConverter(void* ctx, OpLite* op, KernelBase* kernel) {
    CHECK(ctx != nullptr);
    CHECK(op != nullptr);
    auto graph = static_cast<Graph*>(ctx);

    auto scope = op->scope();
    auto op_info = op->op_info();
    auto op_type = op_info->Type();
    auto unique_op_name = lite::subgraph::bm::UniqueName(op_type);
    // input
    auto x_var_name = op_info->Input("X").front();
    auto x = scope->FindVar(x_var_name)->GetMutable<lite::Tensor>();
    auto x_dims = x->dims();
    const int64_t* x_shape_data =
              const_cast<const int64_t*>(&x_dims.data()[0]);
    std::vector<int32_t> i_x_shape_data(x_dims.size());
    for (size_t i = 0; i < x_dims.size(); i++) {
        i_x_shape_data[i] = static_cast<int>(x_shape_data[i]);
    }
    // output
    auto output_var_name = op_info->Output("Out").front();
    auto scale = op_info->GetAttr<float>("scale");
    auto bias = op_info->GetAttr<float>("bias");
    auto bias_after_scale = op_info->GetAttr<bool>("bias_after_scale");
    if (!bias_after_scale) {
        bias *= scale;
    }
    auto unique_op_scale_name = lite::subgraph::bm::UniqueName(op_type);
    add_const_binary_layer(graph->GetCompilerHandle(),
                    static_cast<const char*>(x_var_name.c_str()),
                    const_cast<const int*>(&i_x_shape_data[0]),
                    x_dims.size(),
                    scale,
                    static_cast<const char*>(unique_op_scale_name.c_str()),
                    BINARY_MUL,
                    0);
    add_const_binary_layer(graph->GetCompilerHandle(),
                static_cast<const char*>(unique_op_scale_name.c_str()),
                const_cast<const int*>(&i_x_shape_data[0]),
                x_dims.size(),
                bias,
                static_cast<const char*>(output_var_name.c_str()),
                BINARY_ADD,
                0);
    graph->AddNode(output_var_name);
    return SUCCESS;
}

}  // namespace bm
}  // namespace subgraph
}  // namespace lite
}  // namespace paddle

REGISTER_SUBGRAPH_BRIDGE(scale, kBM,
  paddle::lite::subgraph::bm::ScaleConverter);
