wehub-resource-sync
67 lines
2.0 KiB
C++
67 lines
2.0 KiB
C++
//
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// RemoveDuplicatedTensorConvert.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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#include "MergeHelpers.hpp"
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namespace MNN {
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namespace Express {
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class RemoveDuplicatedTensorConvert {
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public:
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RemoveDuplicatedTensorConvert();
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};
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RemoveDuplicatedTensorConvert::RemoveDuplicatedTensorConvert() {
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auto match = [this](EXPRP expr) -> bool {
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if (!expr->get() || expr->get()->type() != OpType_ConvertTensor) {
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return false;
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}
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VARP input = expr->inputs().at(0);
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EXPRP input_expr = input->expr().first;
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if (!input_expr->get() || input_expr->get()->type() != OpType_ConvertTensor) {
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return false;
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}
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const auto* convert1_params = input_expr->get()->main_as_TensorConvertInfo();
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const auto* convert2_params = expr->get()->main_as_TensorConvertInfo();
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if (convert1_params->source() != convert2_params->source()) {
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return false;
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}
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if (convert1_params->dest() != convert2_params->dest()) {
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return false;
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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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auto input_expr = input->expr().first;
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const auto* convert1_params = input_expr->get()->main_as_TensorConvertInfo();
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const auto* convert2_params = expr->get()->main_as_TensorConvertInfo();
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EXPRP new_expr;
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VARP x = input_expr->inputs().at(0);
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new_expr = Expr::create(expr->extra(), {x});
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new_expr->setName(expr->name());
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Expr::replace(expr, new_expr);
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return true /*modified*/;
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};
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TemplateMerge::getInstance("Merge").insertTemplate("RemoveDuplicatedTensorConvert", match, fold, PASS_PRIORITY_LOW);
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}
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static RemoveDuplicatedTensorConvert g_remove_duplicated_tensor_convert;
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} // namespace Express
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} // namespace MNN
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