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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 | // 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 "pass_level1.h"
#include "../utils.h"
namespace pnnx {
class AvgPool2d : public FuseModulePass
{
public:
const char* match_type_str() const
{
return "__torch__.torch.nn.modules.pooling.AvgPool2d";
}
const char* type_str() const
{
return "nn.AvgPool2d";
}
void write(Operator* op, const std::shared_ptr<torch::jit::Graph>& graph) const
{
const torch::jit::Node* avg_pool2d = find_node_by_kind(graph, "aten::avg_pool2d");
op->params["kernel_size"] = avg_pool2d->namedInput("kernel_size");
op->params["stride"] = avg_pool2d->namedInput("stride");
op->params["padding"] = avg_pool2d->namedInput("padding");
op->params["ceil_mode"] = avg_pool2d->namedInput("ceil_mode");
op->params["count_include_pad"] = avg_pool2d->namedInput("count_include_pad");
op->params["divisor_override"] = avg_pool2d->namedInput("divisor_override");
}
};
REGISTER_GLOBAL_PNNX_FUSE_MODULE_PASS(AvgPool2d)
} // namespace pnnx
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