//
//  NPUUnary.cpp
//  MNN
//
//  Created by MNN on b'2020/10/15'.
//  Copyright © 2018, Alibaba Group Holding Limited
//

#include "NPUUnary.hpp"
#include "NPUBackend.hpp"

using namespace std;

namespace MNN {

NPUUnary::NPUUnary(MNN::Backend *b, const MNN::Op *op, const std::vector<Tensor *> &inputs, const std::vector<MNN::Tensor *> &outputs) : NPUCommonExecution(b, op) {}

ErrorCode NPUUnary::onResize(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs) {
    mNpuBackend->setNetworkInput(inputs, mOp);
    auto opName = mOp->name()->str();
    auto xOp = mNpuBackend->getInputOps(mOp);
    auto inputIndex = mOp->inputIndexes()->data()[0];
    auto iops       = mNpuBackend->mGrapMap[inputIndex]; // x
    xOp        = iops.back().first;
    auto unary_type = mOp->main_as_UnaryOp()->opType();

    if (unary_type == UnaryOpOperation_EXP){
        shared_ptr<hiai::op::Exp> unary(new hiai::op::Exp(opName));
        (*unary).set_input_x(*xOp.get());
        mNpuBackend->setOutputOps(mOp, {unary}, outputs);
    } else if (unary_type == UnaryOpOperation_NEG){
        shared_ptr<hiai::op::Neg> unary(new hiai::op::Neg(opName));
        (*unary).set_input_x(*xOp.get());
        mNpuBackend->setOutputOps(mOp, {unary}, outputs);
    } else if (unary_type == UnaryOpOperation_ABS){
        shared_ptr<hiai::op::Activation> unary(new hiai::op::Activation(opName+ "_abs"));
        (*unary).set_input_x(*xOp.get())
                .set_attr_mode(6);
        mNpuBackend->setOutputOps(mOp, {unary}, outputs);
    } else if (unary_type == UnaryOpOperation_SIGMOID){
        shared_ptr<hiai::op::Activation> unary(new hiai::op::Activation(opName+ "_sigmoid"));
        (*unary).set_input_x(*xOp.get())
                .set_attr_mode(0);
        mNpuBackend->setOutputOps(mOp, {unary}, outputs);
    } else if (unary_type == UnaryOpOperation_TANH) {
        shared_ptr<hiai::op::Activation> unary(new hiai::op::Activation(opName));
        (*unary)
            .set_attr_coef(.000000)
            .set_attr_negative_slope(0.0f)
            .set_attr_mode(2);
        (*unary).set_input_x(*xOp.get());
        mNpuBackend->setOutputOps(mOp, {unary}, outputs);
    } else if (unary_type == UnaryOpOperation_SILU) {
        shared_ptr<hiai::op::Swish> unary(new hiai::op::Swish(opName));
        (*unary).set_input_x(*xOp.get());
        mNpuBackend->setOutputOps(mOp, {unary}, outputs);
    } else if (unary_type == UnaryOpOperation_SQRT){
        shared_ptr<hiai::op::Sqrt> unary(new hiai::op::Sqrt(opName));
        (*unary).set_input_x(*xOp.get());
        mNpuBackend->setOutputOps(mOp, {unary}, outputs);
    } else if (unary_type == UnaryOpOperation_HARDSWISH){
        shared_ptr<hiai::op::HardSwish> unary(new hiai::op::HardSwish(opName));
        (*unary).set_input_x(*xOp.get());
        mNpuBackend->setOutputOps(mOp, {unary}, outputs);
    } else if (unary_type == UnaryOpOperation_RSQRT){
        shared_ptr<hiai::op::Rsqrt> unary(new hiai::op::Rsqrt(opName));
        (*unary).set_input_x(*xOp.get());
        mNpuBackend->setOutputOps(mOp, {unary}, outputs);
    } else if (unary_type == UnaryOpOperation_SQUARE){
        shared_ptr<hiai::op::Square> unary(new hiai::op::Square(opName));
        (*unary).set_input_x(*xOp.get());
        mNpuBackend->setOutputOps(mOp, {unary}, outputs);
    } else if (unary_type == UnaryOpOperation_LOG){
        shared_ptr<hiai::op::Log> unary(new hiai::op::Log(opName));
        (*unary).set_input_x(*xOp.get());
        mNpuBackend->setOutputOps(mOp, {unary}, outputs);
    } else if (unary_type == UnaryOpOperation_GELU || unary_type == UnaryOpOperation_GELU_STANDARD){
        shared_ptr<hiai::op::Activation> unary(new hiai::op::Activation(opName+ "_gelu"));
        (*unary).set_input_x(*xOp.get()).set_attr_mode(15);
        mNpuBackend->setOutputOps(mOp, {unary}, outputs);
    } else if (unary_type == UnaryOpOperation_ERF){
        shared_ptr<hiai::op::Erf> unary(new hiai::op::Erf(opName));
        (*unary).set_input_x(*xOp.get());
        mNpuBackend->setOutputOps(mOp, {unary}, outputs);
    } else {
        MNN_ERROR("unary not support this case : %d \n", unary_type);
    }
    return NO_ERROR;
}

NPUCreatorRegister<TypedCreator<NPUUnary>> __unary_op(OpType_UnaryOp);

} // namespace MNN