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F_unfold.cpp 2.0 kB

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  1. // Tencent is pleased to support the open source community by making ncnn available.
  2. //
  3. // Copyright (C) 2022 THL A29 Limited, a Tencent company. All rights reserved.
  4. //
  5. // Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
  6. // in compliance with the License. You may obtain a copy of the License at
  7. //
  8. // https://opensource.org/licenses/BSD-3-Clause
  9. //
  10. // Unless required by applicable law or agreed to in writing, software distributed
  11. // under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
  12. // CONDITIONS OF ANY KIND, either express or implied. See the License for the
  13. // specific language governing permissions and limitations under the License.
  14. #include "pass_ncnn.h"
  15. namespace pnnx {
  16. namespace ncnn {
  17. class F_unfold : public GraphRewriterPass
  18. {
  19. public:
  20. const char* match_pattern_graph() const
  21. {
  22. return R"PNNXIR(7767517
  23. 3 2
  24. pnnx.Input input 0 1 input
  25. F.unfold op_0 1 1 input out kernel_size=%kernel_size dilation=%dilation stride=%stride padding=%padding
  26. pnnx.Output output 1 0 out
  27. )PNNXIR";
  28. }
  29. const char* type_str() const
  30. {
  31. return "Unfold";
  32. }
  33. const char* name_str() const
  34. {
  35. return "unfold";
  36. }
  37. void write(Operator* op, const std::map<std::string, Parameter>& captured_params) const
  38. {
  39. op->params["1"] = captured_params.at("kernel_size").ai[1];
  40. op->params["11"] = captured_params.at("kernel_size").ai[0];
  41. op->params["2"] = captured_params.at("dilation").ai[1];
  42. op->params["12"] = captured_params.at("dilation").ai[0];
  43. op->params["3"] = captured_params.at("stride").ai[1];
  44. op->params["13"] = captured_params.at("stride").ai[0];
  45. op->params["4"] = captured_params.at("padding").ai[1];
  46. op->params["14"] = captured_params.at("padding").ai[0];
  47. }
  48. };
  49. REGISTER_GLOBAL_PNNX_NCNN_GRAPH_REWRITER_PASS(F_unfold, 20)
  50. } // namespace ncnn
  51. } // namespace pnnx