MNNDump2Json

将MNN模型bin文件 dump 成可读的类json格式文件，以方便对比原始模型参数。

  1. ./MNNDump2Json ../../../resource/model/MobileNet/v2/mobilenet_v2.caffe.mnn output.json
  2. cat output.json 
  4. { oplists: 
  5. [ 
  6. { type: Input, name: "data", outputIndexes: 
  7. [ 0 ]
  8. , main_type: Input, main: 
  9. { dims: 
  10. [ 1, 3,  ... ]
  11.  }
  12.  }
  13. , 
  14. { type: Convolution, name: "conv1", inputIndexes: 
  15. [ 0 ]
  16. , outputIndexes: 
  17. [ 1 ]
  18. , main_type: Convolution2D, main: 
  19. { common: 
  20. { dilateX: 1, dilateY: 1, strideX: 2, strideY: 2, kernelX: 3, kernelY: 3, padX: 1, padY: 1, group: 1, outputCount: 32, relu: true }
  21. , weight: 
  22. [ -0.113041, 0.15978,  ... ]
  23. , bias: 
  24. [ 0.61395, 2.009104,  ... ]
  25.  }
  26.  }
  27. , 
  28. ...
  29.  ]
  30. , tensorName: 
  31. [ "data", "conv1/bn", "conv2_1/expand/bn", "conv2_1/dwise/bn", "conv2_1/linear/bn", "conv2_2/expand/bn", "conv2_2/dwise/bn", "conv2_2/linear/bn", "conv3_1/expand/bn", "conv3_1/dwise/bn", "conv3_1/linear/bn", "block_3_1", "conv3_2/expand/bn", "conv3_2/dwise/bn", "conv3_2/linear/bn", "conv4_1/expand/bn", "conv4_1/dwise/bn", "conv4_1/linear/bn", "block_4_1", "conv4_2/expand/bn", "conv4_2/dwise/bn", "conv4_2/linear/bn", "block_4_2", "conv4_3/expand/bn", "conv4_3/dwise/bn", "conv4_3/linear/bn", "conv4_4/expand/bn", "conv4_4/dwise/bn", "conv4_4/linear/bn", "block_4_4", "conv4_5/expand/bn", "conv4_5/dwise/bn", "conv4_5/linear/bn", "block_4_5", "conv4_6/expand/bn", "conv4_6/dwise/bn", "conv4_6/linear/bn", "block_4_6", "conv4_7/expand/bn", "conv4_7/dwise/bn", "conv4_7/linear/bn", "conv5_1/expand/bn", "conv5_1/dwise/bn", "conv5_1/linear/bn", "block_5_1", "conv5_2/expand/bn", "conv5_2/dwise/bn", "conv5_2/linear/bn", "block_5_2", "conv5_3/expand/bn", "conv5_3/dwise/bn", "conv5_3/linear/bn", "conv6_1/expand/bn", "conv6_1/dwise/bn", "conv6_1/linear/bn", "block_6_1", "conv6_2/expand/bn", "conv6_2/dwise/bn", "conv6_2/linear/bn", "block_6_2", "conv6_3/expand/bn", "conv6_3/dwise/bn", "conv6_3/linear/bn", "conv6_4/bn", "pool6", "fc7", "prob" ]
  32. , bizCode: "0000" }