// Tencent is pleased to support the open source community by making ncnn available.
//
// Copyright (C) 2021 THL A29 Limited, a Tencent company. All rights reserved.
//
// Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
// in compliance with the License. You may obtain a copy of the License at
//
// https://opensource.org/licenses/BSD-3-Clause
//
// 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 "pass_level2.h"

namespace pnnx {

class F_softshrink : public GraphRewriterPass
{
public:
    const char* match_pattern_graph() const
    {
        return R"PNNXIR(7767517
4 3
pnnx.Input              input_0     0 1 input
pnnx.Input              input_1     0 1 lambd
aten::softshrink        op_0        2 1 input lambd out
pnnx.Output             output      1 0 out
)PNNXIR";
    }

    const char* type_str() const
    {
        return "F.softshrink";
    }
};

REGISTER_GLOBAL_PNNX_GRAPH_REWRITER_PASS(F_softshrink, 100)

static bool NearlyEqual(float a, float b, float epsilon)
{
    if (a == b)
        return true;

    float diff = (float)fabs(a - b);
    if (diff <= epsilon)
        return true;

    // relative error
    return diff < epsilon * std::max(fabs(a), fabs(b));
}

class F_softshrink_onnx : public GraphRewriterPass
{
public:
    const char* match_pattern_graph() const
    {
        return R"PNNXIR(7767517
15 14
pnnx.Input              input       0 1 input
prim::Constant          op_0        0 1 lambd value=%lambd
torch.gt                op_1        2 1 input lambd 8
prim::Constant          op_2        0 1 lambd2 value=%lambd
aten::sub               op_3        2 1 input lambd2 9
prim::Constant          op_4        0 1 zero value=0
torch.where             op_5        3 1 8 9 zero a
prim::Constant          op_6        0 1 mlambd value=%lambd2
torch.lt                op_7        2 1 input mlambd 11
prim::Constant          op_8        0 1 lambd3 value=%lambd
aten::add               op_9        2 1 input lambd3 12
prim::Constant          op_10       0 1 zero2 value=0
torch.where             op_11       3 1 11 12 zero2 b
aten::add               op_12       2 1 a b out
pnnx.Output             output      1 0 out
)PNNXIR";
    }

    const char* type_str() const
    {
        return "F.softshrink";
    }

    bool match(const std::map<std::string, Parameter>& captured_params) const
    {
        float lambd = captured_params.at("lambd").f;
        float lambd2 = captured_params.at("lambd2").f;
        return NearlyEqual(lambd, -lambd2, 0.001);
    }

    void write(Operator* op, const std::map<std::string, Parameter>& captured_params) const
    {
        op->params["lambd"] = captured_params.at("lambd");
    }
};

REGISTER_GLOBAL_PNNX_GRAPH_REWRITER_PASS(F_softshrink_onnx, 100)

} // namespace pnnx
