File size: 2,692 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 | // 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_ncnn.h"
namespace pnnx {
namespace ncnn {
class F_avg_pool3d : public GraphRewriterPass
{
public:
const char* match_pattern_graph() const
{
return R"PNNXIR(7767517
3 2
pnnx.Input input 0 1 input
F.avg_pool3d op_0 1 1 input out kernel_size=%kernel_size stride=%stride padding=%padding ceil_mode=%ceil_mode count_include_pad=%count_include_pad divisor_override=%divisor_override
pnnx.Output output 1 0 out
)PNNXIR";
}
const char* type_str() const
{
return "Pooling3D";
}
const char* name_str() const
{
return "avgpool3d";
}
void write(Operator* op, const std::map<std::string, Parameter>& captured_params) const
{
if (captured_params.at("divisor_override").type != 0)
{
fprintf(stderr, "unsupported avgpool3d divisor_override\n");
return;
}
std::vector<int> stride;
if (captured_params.at("stride").type == 0)
{
stride = captured_params.at("kernel_size").ai;
}
else
{
stride = captured_params.at("stride").ai;
}
op->params["0"] = 1;
op->params["1"] = captured_params.at("kernel_size").ai[2];
op->params["11"] = captured_params.at("kernel_size").ai[1];
op->params["21"] = captured_params.at("kernel_size").ai[0];
op->params["2"] = stride[2];
op->params["12"] = stride[1];
op->params["22"] = stride[0];
op->params["3"] = captured_params.at("padding").ai[2];
op->params["13"] = captured_params.at("padding").ai[1];
op->params["23"] = captured_params.at("padding").ai[0];
op->params["5"] = captured_params.at("ceil_mode").b ? 0 : 1;
op->params["6"] = captured_params.at("count_include_pad").b ? 1 : 0;
}
};
REGISTER_GLOBAL_PNNX_NCNN_GRAPH_REWRITER_PASS(F_avg_pool3d, 20)
} // namespace ncnn
} // namespace pnnx
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