// // EliminateQuantAndDequant.cpp // MNNConverter // // Created by MNN on 2020/07/09. // Copyright © 2018, Alibaba Group Holding Limited // #include "../TemplateMerge.hpp" #include "MNN/expr/ExprCreator.hpp" #include "MNN_generated.h" namespace MNN { namespace Express { class EliminateQuantAndDequant { public: EliminateQuantAndDequant(); }; EliminateQuantAndDequant::EliminateQuantAndDequant() { auto match = [this](EXPRP expr) -> bool { if (!expr->get() || (expr->get()->type() != OpType_FloatToInt8 && expr->get()->type() != OpType_Int8ToFloat)) { return false; } VARP input = expr->inputs().at(0); const Op* input_op = input->expr().first->get(); if (!input_op) { return false; } if (expr->get()->type() == OpType_FloatToInt8) { if (input_op->type() != OpType_Int8ToFloat) { return false; } } if (expr->get()->type() == OpType_Int8ToFloat) { if (input_op->type() != OpType_FloatToInt8) { return false; } } return true; }; auto fold = [this](EXPRP expr) -> bool { VARP input = expr->inputs().at(0); input = input->expr().first->inputs().at(0); auto* identity = new MNN::ExtraT; identity->type = "Identity"; identity->engine = "Tensorflow"; std::unique_ptr identity_op(new MNN::OpT); identity_op->name = expr->name(); identity_op->type = OpType_Extra; identity_op->main.type = OpParameter_Extra; identity_op->main.value = identity; EXPRP identity_expr = Expr::create(identity_op.get(), {input}); identity_expr->setName(input->name()); Expr::replace(expr, identity_expr); return true /*modified*/; }; TemplateMerge::getInstance("Merge").insertTemplate("EliminateQuantAndDequant", match, fold, PASS_PRIORITY_LOW); } static EliminateQuantAndDequant g_eliminate_quant_dequant; } // namespace Express } // namespace MNN