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