/ModelOptimizations/DlEqualization/src/BatchNormFoldForPython.cpp

https://github.com/quic/aimet · C++ · 63 lines · 20 code · 6 blank · 37 comment · 0 complexity · 99673c353d7808a119ab6e133dc7f0f3 MD5 · raw file

  1. //==============================================================================
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  37. //==============================================================================
  38. #include "DlEqualization/BatchNormFoldForPython.h"
  39. #include "DlEqualization/BatchNormFold.h"
  40. #include <iostream>
  41. namespace AimetEqualization
  42. {
  43. std::vector<float> BatchNormFoldForPython::fold(BNParamsForPython& bnParamsForPython,
  44. TensorParamsForPython& weightTensorForPython,
  45. TensorParamsForPython& biasTensorForPython, bool isBiasTensorValid,
  46. bool foldPrevLayer)
  47. {
  48. BNParams bnParams;
  49. bnParams.beta = &bnParamsForPython.beta[0];
  50. bnParams.gamma = &bnParamsForPython.gamma[0];
  51. bnParams.runningMean = &bnParamsForPython.runningMean[0];
  52. bnParams.runningVar = &bnParamsForPython.runningVar[0];
  53. TensorParams weightTensor = {weightTensorForPython.shape, &weightTensorForPython.data[0]};
  54. TensorParams biasTensor = {biasTensorForPython.shape, &biasTensorForPython.data[0]};
  55. return BatchNormFold::fold(bnParams, weightTensor, biasTensor, isBiasTensorValid, foldPrevLayer);
  56. }
  57. } // namespace AimetEqualization