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gerrit-public.fairphone.software / platform / frameworks / ml / 66d5cb6e3a90aefc8d545f6369080ab88de9d667 / . / nn / runtime / test / generated / models
tree: 9d91ee8ae3261dfeb81618609f6bb741c5bac463 [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. conv_quant8_channels.model.cpp
  31. conv_quant8_large.model.cpp
  32. conv_quant8_overflow.model.cpp
  33. depth_to_space_float_1.model.cpp
  34. depth_to_space_float_2.model.cpp
  35. depth_to_space_quant8_1.model.cpp
  36. depth_to_space_quant8_2.model.cpp
  37. depthwise_conv.model.cpp
  38. depthwise_conv.model.py
  39. depthwise_conv2d_float.model.cpp
  40. depthwise_conv2d_float_large.model.cpp
  41. depthwise_conv2d_float_large_2.model.cpp
  42. depthwise_conv2d_quant8.model.cpp
  43. depthwise_conv2d_quant8_large.model.cpp
  44. depthwise_conv_2d.model.cpp
  45. depthwise_conv_2d_quant8.model.cpp
  46. dequantize.model.cpp
  47. embedding_lookup.model.cpp
  48. floor.model.cpp
  49. fully_connected_float.model.cpp
  50. fully_connected_float_large.model.cpp
  51. fully_connected_quant8.model.cpp
  52. fully_connected_quant8_large.model.cpp
  53. hashtable_lookup_float.model.cpp
  54. hashtable_lookup_quant8.model.cpp
  55. l2_normalization.model.cpp
  56. l2_normalization_large.model.cpp
  57. l2_pool_float.model.cpp
  58. l2_pool_float_large.model.cpp
  59. local_response_norm_float_1.model.cpp
  60. local_response_norm_float_2.model.cpp
  61. local_response_norm_float_3.model.cpp
  62. local_response_norm_float_4.model.cpp
  63. logistic_float_1.model.cpp
  64. logistic_float_2.model.cpp
  65. logistic_quant8_1.model.cpp
  66. logistic_quant8_2.model.cpp
  67. lsh_projection.model.cpp
  68. lstm.model.cpp
  69. lstm2.model.cpp
  70. lstm3.model.cpp
  71. max_pool_float_1.model.cpp
  72. max_pool_float_2.model.cpp
  73. max_pool_float_3.model.cpp
  74. max_pool_quant8_1.model.cpp
  75. max_pool_quant8_2.model.cpp
  76. max_pool_quant8_3.model.cpp
  77. mobilenet_224_gender_basic_fixed.model.cpp
  78. mobilenet_224_gender_basic_fixed.model.py
  79. mobilenet_quantized.model.cpp
  80. mul.model.cpp
  81. mul_broadcast_quant8.model.cpp
  82. mul_quant8.model.cpp
  83. mul_relu.model.cpp
  84. relu1_float_1.model.cpp
  85. relu1_float_2.model.cpp
  86. relu1_quant8_1.model.cpp
  87. relu1_quant8_2.model.cpp
  88. relu6_float_1.model.cpp
  89. relu6_float_2.model.cpp
  90. relu6_quant8_1.model.cpp
  91. relu6_quant8_2.model.cpp
  92. relu_float_1.model.cpp
  93. relu_float_2.model.cpp
  94. relu_quant8_1.model.cpp
  95. relu_quant8_2.model.cpp
  96. reshape.model.cpp
  97. reshape_quant8.model.cpp
  98. resize_bilinear.model.cpp
  99. rnn.model.cpp
  100. softmax_float_1.model.cpp
  101. softmax_float_2.model.cpp
  102. softmax_quant8_1.model.cpp
  103. softmax_quant8_2.model.cpp
  104. space_to_depth_float_1.model.cpp
  105. space_to_depth_float_2.model.cpp
  106. space_to_depth_quant8_1.model.cpp
  107. space_to_depth_quant8_2.model.cpp
  108. svdf.model.cpp
  109. tanh.model.cpp