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| | #include "pass_ncnn.h" |
| |
|
| | namespace pnnx { |
| |
|
| | namespace ncnn { |
| |
|
| | class F_avg_pool1d : public GraphRewriterPass |
| | { |
| | public: |
| | const char* match_pattern_graph() const |
| | { |
| | return R"PNNXIR(7767517 |
| | 3 2 |
| | pnnx.Input input 0 1 input |
| | F.avg_pool1d op_0 1 1 input out kernel_size=%kernel_size stride=%stride padding=%padding ceil_mode=%ceil_mode count_include_pad=%count_include_pad |
| | pnnx.Output output 1 0 out |
| | )PNNXIR"; |
| | } |
| |
|
| | const char* type_str() const |
| | { |
| | return "Pooling1D"; |
| | } |
| |
|
| | const char* name_str() const |
| | { |
| | return "avgpool1d"; |
| | } |
| |
|
| | void write(Operator* op, const std::map<std::string, Parameter>& captured_params) const |
| | { |
| | 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[0]; |
| | op->params["2"] = stride[0]; |
| | op->params["3"] = 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_pool1d, 20) |
| |
|
| | } |
| |
|
| | } |
| |
|