File size: 2,336 Bytes
be903e2 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 | // Tencent is pleased to support the open source community by making ncnn available.
//
// Copyright (C) 2023 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 "attribute_unpooling.h"
#include <algorithm>
namespace pnnx {
void attribute_unpooling(Graph& graph)
{
while (1)
{
bool matched = false;
for (size_t i = 0; i < graph.ops.size(); i++)
{
Operator* op = graph.ops[i];
if (op->type != "pnnx.Attribute")
continue;
Operand* attr = op->outputs[0];
if (attr->consumers.size() < 2)
continue;
// multiple modules share same weight
matched = true;
for (int i = 1; i < (int)attr->consumers.size(); i++)
{
Operator* x = attr->consumers[i];
Operator* op2 = graph.new_operator_after("pnnx.Attribute", op->name + "_" + std::to_string(i), op);
op2->inputnames = op->inputnames;
op2->params = op->params;
op2->attrs = op->attrs;
Operand* attr2 = graph.new_operand(attr->name + "_" + std::to_string(i));
attr2->type = attr->type;
attr2->shape = attr->shape;
attr2->params = attr->params;
op2->outputs.push_back(attr2);
attr2->producer = op2;
attr2->consumers.push_back(x);
for (size_t j = 0; j < x->inputs.size(); j++)
{
if (x->inputs[j] == attr)
x->inputs[j] = attr2;
}
}
attr->consumers.resize(1);
break;
}
if (!matched)
break;
}
}
} // namespace pnnx
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