File size: 3,066 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 82 83 84 85 86 87 88 89 90 91 92 93 94 95 | // 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 "fuse_custom_op.h"
#include <set>
namespace pnnx {
void fuse_custom_op(Graph& graph)
{
std::set<std::string> custom_ops;
for (;;)
{
bool need_fuse = false;
// fuse in reverse order
for (int i = (int)graph.ops.size() - 1; i >= 0; i--)
{
Operator* op = graph.ops[i];
if (op->type.find("::") == std::string::npos)
continue;
std::string op_type_namespace = op->type.substr(0, op->type.find_first_of(':'));
if (op_type_namespace == "aten" || op_type_namespace == "prim")
continue;
custom_ops.insert(op->type);
std::string op_type_name = op->type.substr(op->type.find_last_of(':') + 1);
need_fuse = true;
op->type = std::string("pnnx.custom_op.") + op_type_namespace + '.' + op_type_name;
std::vector<Operand*> new_inputs;
std::vector<std::string> new_inputnames;
for (size_t j = 0; j < op->inputs.size(); j++)
{
Operator* arg = op->inputs[j]->producer;
if (!arg->inputs.empty())
{
new_inputs.push_back(op->inputs[j]);
new_inputnames.push_back(std::string("arg_") + std::to_string(j));
continue;
}
if (arg->type == "prim::Constant")
{
op->params[std::string("arg_") + std::to_string(j)] = arg->params["value"];
op->inputs[j]->remove_consumer(op);
}
else if (arg->type == "pnnx.Expression")
{
op->params[std::string("arg_") + std::to_string(j)] = Parameter::parse_from_string(arg->params["expr"].s);
op->inputs[j]->remove_consumer(op);
}
else
{
new_inputs.push_back(op->inputs[j]);
new_inputnames.push_back(std::string("arg_") + std::to_string(j));
}
}
op->inputs = new_inputs;
op->inputnames = new_inputnames;
}
if (!need_fuse)
break;
}
for (auto x : custom_ops)
{
fprintf(stderr, "custom op = %s\n", x.c_str());
}
}
} // namespace pnnx
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