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gerrit-public.fairphone.software / platform / frameworks / ml / 224c01eb06d3dc496b99b0827fdcc9e65bfc4f9a / . / nn / runtime / test / generated / models
tree: 1dbb811c6f4a5b936c8c3c081b5202b86d1c0c35 [path history] [tgz]
  1. add.model.cpp
  2. add_broadcast_quant8.model.cpp
  3. add_quant8.model.cpp
  4. avg_pool_float_1.model.cpp
  5. avg_pool_float_2.model.cpp
  6. avg_pool_float_3.model.cpp
  7. avg_pool_float_4.model.cpp
  8. avg_pool_quant8_1.model.cpp
  9. avg_pool_quant8_2.model.cpp
  10. avg_pool_quant8_3.model.cpp
  11. avg_pool_quant8_4.model.cpp
  12. concat_float_1.model.cpp
  13. concat_float_2.model.cpp
  14. concat_float_3.model.cpp
  15. concat_quant8_1.model.cpp
  16. concat_quant8_2.model.cpp
  17. concat_quant8_3.model.cpp
  18. conv_1_h3_w2_SAME.model.cpp
  19. conv_1_h3_w2_SAME.model.py
  20. conv_1_h3_w2_VALID.model.cpp
  21. conv_1_h3_w2_VALID.model.py
  22. conv_3_h3_w2_SAME.model.cpp
  23. conv_3_h3_w2_SAME.model.py
  24. conv_3_h3_w2_VALID.model.cpp
  25. conv_3_h3_w2_VALID.model.py
  26. conv_float.model.cpp
  27. conv_float_channels.model.cpp
  28. conv_float_large.model.cpp
  29. conv_quant8.model.cpp
  30. depth_to_space_float_1.model.cpp
  31. depth_to_space_float_2.model.cpp
  32. depth_to_space_quant8_1.model.cpp
  33. depth_to_space_quant8_2.model.cpp
  34. depthwise_conv.model.cpp
  35. depthwise_conv.model.py
  36. depthwise_conv_2d.model.cpp
  37. depthwise_conv_2d_quant8.model.cpp
  38. dequantize.model.cpp
  39. embedding_lookup.model.cpp
  40. floor.model.cpp
  41. fully_connected_float.model.cpp
  42. fully_connected_quant8.model.cpp
  43. hashtable_lookup_float.model.cpp
  44. hashtable_lookup_quant8.model.cpp
  45. l2_normalization.model.cpp
  46. l2_pool_float.model.cpp
  47. local_response_norm_float_1.model.cpp
  48. local_response_norm_float_2.model.cpp
  49. local_response_norm_float_3.model.cpp
  50. local_response_norm_float_4.model.cpp
  51. logistic_float_1.model.cpp
  52. logistic_float_2.model.cpp
  53. logistic_quant8_1.model.cpp
  54. logistic_quant8_2.model.cpp
  55. lsh_projection.model.cpp
  56. lstm.model.cpp
  57. lstm2.model.cpp
  58. lstm3.model.cpp
  59. max_pool_float_1.model.cpp
  60. max_pool_float_2.model.cpp
  61. max_pool_float_3.model.cpp
  62. max_pool_quant8_1.model.cpp
  63. max_pool_quant8_2.model.cpp
  64. max_pool_quant8_3.model.cpp
  65. mobilenet_224_gender_basic_fixed.model.cpp
  66. mobilenet_224_gender_basic_fixed.model.py
  67. mobilenet_quantized.model.cpp
  68. mul.model.cpp
  69. mul_broadcast_quant8.model.cpp
  70. mul_quant8.model.cpp
  71. mul_relu.model.cpp
  72. relu1_float_1.model.cpp
  73. relu1_float_2.model.cpp
  74. relu1_quant8_1.model.cpp
  75. relu1_quant8_2.model.cpp
  76. relu6_float_1.model.cpp
  77. relu6_float_2.model.cpp
  78. relu6_quant8_1.model.cpp
  79. relu6_quant8_2.model.cpp
  80. relu_float_1.model.cpp
  81. relu_float_2.model.cpp
  82. relu_quant8_1.model.cpp
  83. relu_quant8_2.model.cpp
  84. reshape.model.cpp
  85. reshape_quant8.model.cpp
  86. resize_bilinear.model.cpp
  87. rnn.model.cpp
  88. softmax_float_1.model.cpp
  89. softmax_float_2.model.cpp
  90. softmax_quant8_1.model.cpp
  91. softmax_quant8_2.model.cpp
  92. space_to_depth_float_1.model.cpp
  93. space_to_depth_float_2.model.cpp
  94. space_to_depth_quant8_1.model.cpp
  95. space_to_depth_quant8_2.model.cpp
  96. svdf.model.cpp
  97. tanh.model.cpp