rand.sereg.h

#include "megbrain/opr/rand.h"
#include "megbrain/serialization/sereg.h"

namespace mgb {

namespace serialization {

template <>
struct OprMaker<opr::ShuffleRNG, 1> {
    using Opr = opr::ShuffleRNG;
    using Param = Opr::Param;
    static cg::OperatorNodeBase* make(
            const Param& param, const cg::VarNodeArray& inputs, ComputingGraph& graph,
            const OperatorNodeConfig& config) {
        MGB_MARK_USED_VAR(graph);
        auto out = Opr::make(inputs[0], param, config);
        return out[0].node()->owner_opr();
    }
};

// OprMaker in MGB_SEREG_OPR only support unique output opr
template <>
struct OprMaker<opr::DropoutForward, 1> {
    using Param = opr::DropoutForward::Param;
    static cg::OperatorNodeBase* make(
            const Param& param, const cg::VarNodeArray& i, ComputingGraph& graph,
            const OperatorNodeConfig& config) {
        MGB_MARK_USED_VAR(graph);
        return opr::DropoutForward::make(i[0], param, config)[0].node()->owner_opr();
    }
};

}  // namespace serialization

namespace opr {

using UniformRNGV1 = opr::UniformRNG;
MGB_SEREG_OPR(UniformRNGV1, 1);
using GaussianRNGV1 = opr::GaussianRNG;
MGB_SEREG_OPR(GaussianRNGV1, 1);
MGB_SEREG_OPR(GammaRNG, 2);
MGB_SEREG_OPR(PoissonRNG, 1);
MGB_SEREG_OPR(PermutationRNG, 1);
MGB_SEREG_OPR(BetaRNG, 2);
MGB_SEREG_OPR(ShuffleRNG, 1);
MGB_SEREG_OPR(ShuffleRNGBackward, 3);
MGB_SEREG_OPR(Dropout, 1);
MGB_SEREG_OPR(DropoutBackward, 2);

}  // namespace opr
}  // namespace mgb

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