1. APP_SRCS... main.c BUILD_MODEL_SQ8BIT/networkKernels.c /gap_sdk/libs/gap_lib/img_io/ImgIO.c /gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_Activation_SQ8.c /gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_Bias_Linear_SQ8.c /gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_Conv_SQ8.c /gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_Pooling_SQ8.c /gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_Conv_DW_SQ8.c /gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_MatAlgebra_SQ8.c /gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_SoftMax_SQ8.c /gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_AT_Misc.c /gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/RNN_SQ8.c /gap_sdk/tools/nntool//autotiler/kernels/norm_transpose.c /gap_sdk/tools/nntool//autotiler/kernels/copy.c
2. APP_CFLAGS... -g -O3 -w -mno-memcpy -fno-tree-loop-distribute-patterns -I. -I/gap_sdk/libs/gap_lib/include -I/gap_sdk/tools/autotiler_v3/Emulation -I/gap_sdk/tools/autotiler_v3/Autotiler -I/gap_sdk/tools/autotiler_v3/CNN_Libraries -I/gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8 -I/gap_sdk/tools/nntool//autotiler/kernels -IBUILD_MODEL_SQ8BIT -DAT_MODEL_PREFIX=network -DAT_INPUT_HEIGHT=200 -DAT_INPUT_WIDTH=200 -DAT_INPUT_COLORS=1 -DSTACK_SIZE=6096 -DSLAVE_STACK_SIZE=1024 -DAT_IMAGE=/module/data/images/frame_2.pgm -DPERF -DMODEL_ID= -DFREQ_FC=250 -DFREQ_CL=175 -DAT_CONSTRUCT=networkCNN_Construct -DAT_DESTRUCT=networkCNN_Destruct -DAT_CNN=networkCNN -DAT_L3_ADDR=network_L3_Flash
3. common/model_rules.mk:28: warning: overriding recipe for target 'BUILD_MODEL_SQ8BIT'
4. common/model_rules.mk:28: warning: ignoring old recipe for target 'BUILD_MODEL_SQ8BIT'
5. common/model_rules.mk:31: warning: overriding recipe for target 'BUILD_MODEL_SQ8BIT/network.onnx'
6. common/model_rules.mk:31: warning: ignoring old recipe for target 'BUILD_MODEL_SQ8BIT/network.onnx'
7. common/model_rules.mk:35: warning: overriding recipe for target 'BUILD_MODEL_SQ8BIT/network.json'
8. common/model_rules.mk:35: warning: ignoring old recipe for target 'BUILD_MODEL_SQ8BIT/network.json'
9. common/model_rules.mk:40: warning: overriding recipe for target 'nntool_model_evaluation'
10. common/model_rules.mk:40: warning: ignoring old recipe for target 'nntool_model_evaluation'
11. common/model_rules.mk:48: warning: overriding recipe for target 'nntool_output/networkModel.c'
12. common/model_rules.mk:48: warning: ignoring old recipe for target 'nntool_output/networkModel.c'
13. common/model_rules.mk:55: warning: overriding recipe for target 'BUILD_MODEL_SQ8BIT/GenTile'
14. common/model_rules.mk:55: warning: ignoring old recipe for target 'BUILD_MODEL_SQ8BIT/GenTile'
15. common/model_rules.mk:62: warning: overriding recipe for target 'BUILD_MODEL_SQ8BIT/networkKernels.c'
16. common/model_rules.mk:62: warning: ignoring old recipe for target 'BUILD_MODEL_SQ8BIT/networkKernels.c'
17. common/model_rules.mk:69: warning: overriding recipe for target 'clean_model'
18. common/model_rules.mk:69: warning: ignoring old recipe for target 'clean_model'
19. APP_SRCS... main.c BUILD_MODEL_SQ8BIT/networkKernels.c /gap_sdk/libs/gap_lib/img_io/ImgIO.c /gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_Activation_SQ8.c /gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_Bias_Linear_SQ8.c /gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_Conv_SQ8.c /gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_Pooling_SQ8.c /gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_Conv_DW_SQ8.c /gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_MatAlgebra_SQ8.c /gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_SoftMax_SQ8.c /gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_AT_Misc.c /gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/RNN_SQ8.c /gap_sdk/tools/nntool//autotiler/kernels/norm_transpose.c /gap_sdk/tools/nntool//autotiler/kernels/copy.c  /gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_Activation_SQ8.c /gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_Bias_Linear_SQ8.c /gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_Conv_SQ8.c /gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_Pooling_SQ8.c /gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_Conv_DW_SQ8.c /gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_MatAlgebra_SQ8.c /gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_SoftMax_SQ8.c /gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_AT_Misc.c /gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/RNN_SQ8.c /gap_sdk/tools/nntool//autotiler/kernels/norm_transpose.c /gap_sdk/tools/nntool//autotiler/kernels/copy.c   main.c BUILD_MODEL_SQ8BIT/networkKernels.c /gap_sdk/libs/gap_lib/img_io/ImgIO.c /gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_Activation_SQ8.c /gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_Bias_Linear_SQ8.c /gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_Conv_SQ8.c /gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_Pooling_SQ8.c /gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_Conv_DW_SQ8.c /gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_MatAlgebra_SQ8.c /gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_SoftMax_SQ8.c /gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_AT_Misc.c /gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/RNN_SQ8.c /gap_sdk/tools/nntool//autotiler/kernels/norm_transpose.c /gap_sdk/tools/nntool//autotiler/kernels/copy.c  /gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_Activation_SQ8.c /gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_Bias_Linear_SQ8.c /gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_Conv_SQ8.c /gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_Pooling_SQ8.c /gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_Conv_DW_SQ8.c /gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_MatAlgebra_SQ8.c /gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_SoftMax_SQ8.c /gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_AT_Misc.c /gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/RNN_SQ8.c /gap_sdk/tools/nntool//autotiler/kernels/norm_transpose.c /gap_sdk/tools/nntool//autotiler/kernels/copy.c
20. APP_CFLAGS... -g -O3 -w -mno-memcpy -fno-tree-loop-distribute-patterns -I. -I/gap_sdk/libs/gap_lib/include -I/gap_sdk/tools/autotiler_v3/Emulation -I/gap_sdk/tools/autotiler_v3/Autotiler -I/gap_sdk/tools/autotiler_v3/CNN_Libraries -I/gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8 -I/gap_sdk/tools/nntool//autotiler/kernels -IBUILD_MODEL_SQ8BIT -DAT_MODEL_PREFIX=network -DAT_INPUT_HEIGHT=200 -DAT_INPUT_WIDTH=200 -DAT_INPUT_COLORS=1 -DSTACK_SIZE=6096 -DSLAVE_STACK_SIZE=1024 -DAT_IMAGE=/module/data/images/frame_2.pgm -DPERF -DMODEL_ID= -DFREQ_FC=250 -DFREQ_CL=175 -DAT_CONSTRUCT=networkCNN_Construct -DAT_DESTRUCT=networkCNN_Destruct -DAT_CNN=networkCNN -DAT_L3_ADDR=network_L3_Flash -g -O3 -w -mno-memcpy -fno-tree-loop-distribute-patterns -I. -I/gap_sdk/libs/gap_lib/include -I/gap_sdk/tools/autotiler_v3/Emulation -I/gap_sdk/tools/autotiler_v3/Autotiler -I/gap_sdk/tools/autotiler_v3/CNN_Libraries -I/gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8 -I/gap_sdk/tools/nntool//autotiler/kernels -IBUILD_MODEL_SQ8BIT -DAT_MODEL_PREFIX=network -DAT_INPUT_HEIGHT=200 -DAT_INPUT_WIDTH=200 -DAT_INPUT_COLORS=1 -DSTACK_SIZE=6096 -DSLAVE_STACK_SIZE=1024 -DAT_IMAGE=/module/data/images/frame_2.pgm -DPERF -DMODEL_ID= -DFREQ_FC=250 -DFREQ_CL=175 -DAT_CONSTRUCT=networkCNN_Construct -DAT_DESTRUCT=networkCNN_Destruct -DAT_CNN=networkCNN -DAT_L3_ADDR=network_L3_Flash
21. /gap_sdk/tools/rules/pulp_rules.mk:199: warning: overriding recipe for target '/module/data/BUILD/GAP8_V2/GCC_RISCV'
22. /gap_sdk/tools/rules/pulp_rules.mk:199: warning: ignoring old recipe for target '/module/data/BUILD/GAP8_V2/GCC_RISCV'
23. /gap_sdk/tools/rules/pulp_rules.mk:204: warning: overriding recipe for target '/module/data/BUILD/GAP8_V2/GCC_RISCV/main.o'
24. /gap_sdk/tools/rules/pulp_rules.mk:204: warning: ignoring old recipe for target '/module/data/BUILD/GAP8_V2/GCC_RISCV/main.o'
25. /gap_sdk/tools/rules/pulp_rules.mk:204: warning: overriding recipe for target '/module/data/BUILD/GAP8_V2/GCC_RISCV/BUILD_MODEL_SQ8BIT/networkKernels.o'
26. /gap_sdk/tools/rules/pulp_rules.mk:204: warning: ignoring old recipe for target '/module/data/BUILD/GAP8_V2/GCC_RISCV/BUILD_MODEL_SQ8BIT/networkKernels.o'
27. /gap_sdk/tools/rules/pulp_rules.mk:204: warning: overriding recipe for target '/module/data/BUILD/GAP8_V2/GCC_RISCV//gap_sdk/libs/gap_lib/img_io/ImgIO.o'
28. /gap_sdk/tools/rules/pulp_rules.mk:204: warning: ignoring old recipe for target '/module/data/BUILD/GAP8_V2/GCC_RISCV//gap_sdk/libs/gap_lib/img_io/ImgIO.o'
29. /gap_sdk/tools/rules/pulp_rules.mk:204: warning: overriding recipe for target '/module/data/BUILD/GAP8_V2/GCC_RISCV//gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_Activation_SQ8.o'
30. /gap_sdk/tools/rules/pulp_rules.mk:204: warning: ignoring old recipe for target '/module/data/BUILD/GAP8_V2/GCC_RISCV//gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_Activation_SQ8.o'
31. /gap_sdk/tools/rules/pulp_rules.mk:204: warning: overriding recipe for target '/module/data/BUILD/GAP8_V2/GCC_RISCV//gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_Bias_Linear_SQ8.o'
32. /gap_sdk/tools/rules/pulp_rules.mk:204: warning: ignoring old recipe for target '/module/data/BUILD/GAP8_V2/GCC_RISCV//gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_Bias_Linear_SQ8.o'
33. /gap_sdk/tools/rules/pulp_rules.mk:204: warning: overriding recipe for target '/module/data/BUILD/GAP8_V2/GCC_RISCV//gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_Conv_SQ8.o'
34. /gap_sdk/tools/rules/pulp_rules.mk:204: warning: ignoring old recipe for target '/module/data/BUILD/GAP8_V2/GCC_RISCV//gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_Conv_SQ8.o'
35. /gap_sdk/tools/rules/pulp_rules.mk:204: warning: overriding recipe for target '/module/data/BUILD/GAP8_V2/GCC_RISCV//gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_Pooling_SQ8.o'
36. /gap_sdk/tools/rules/pulp_rules.mk:204: warning: ignoring old recipe for target '/module/data/BUILD/GAP8_V2/GCC_RISCV//gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_Pooling_SQ8.o'
37. /gap_sdk/tools/rules/pulp_rules.mk:204: warning: overriding recipe for target '/module/data/BUILD/GAP8_V2/GCC_RISCV//gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_Conv_DW_SQ8.o'
38. /gap_sdk/tools/rules/pulp_rules.mk:204: warning: ignoring old recipe for target '/module/data/BUILD/GAP8_V2/GCC_RISCV//gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_Conv_DW_SQ8.o'
39. /gap_sdk/tools/rules/pulp_rules.mk:204: warning: overriding recipe for target '/module/data/BUILD/GAP8_V2/GCC_RISCV//gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_MatAlgebra_SQ8.o'
40. /gap_sdk/tools/rules/pulp_rules.mk:204: warning: ignoring old recipe for target '/module/data/BUILD/GAP8_V2/GCC_RISCV//gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_MatAlgebra_SQ8.o'
41. /gap_sdk/tools/rules/pulp_rules.mk:204: warning: overriding recipe for target '/module/data/BUILD/GAP8_V2/GCC_RISCV//gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_SoftMax_SQ8.o'
42. /gap_sdk/tools/rules/pulp_rules.mk:204: warning: ignoring old recipe for target '/module/data/BUILD/GAP8_V2/GCC_RISCV//gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_SoftMax_SQ8.o'
43. /gap_sdk/tools/rules/pulp_rules.mk:204: warning: overriding recipe for target '/module/data/BUILD/GAP8_V2/GCC_RISCV//gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_AT_Misc.o'
44. /gap_sdk/tools/rules/pulp_rules.mk:204: warning: ignoring old recipe for target '/module/data/BUILD/GAP8_V2/GCC_RISCV//gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_AT_Misc.o'
45. /gap_sdk/tools/rules/pulp_rules.mk:204: warning: overriding recipe for target '/module/data/BUILD/GAP8_V2/GCC_RISCV//gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/RNN_SQ8.o'
46. /gap_sdk/tools/rules/pulp_rules.mk:204: warning: ignoring old recipe for target '/module/data/BUILD/GAP8_V2/GCC_RISCV//gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/RNN_SQ8.o'
47. /gap_sdk/tools/rules/pulp_rules.mk:204: warning: overriding recipe for target '/module/data/BUILD/GAP8_V2/GCC_RISCV//gap_sdk/tools/nntool//autotiler/kernels/norm_transpose.o'
48. /gap_sdk/tools/rules/pulp_rules.mk:204: warning: ignoring old recipe for target '/module/data/BUILD/GAP8_V2/GCC_RISCV//gap_sdk/tools/nntool//autotiler/kernels/norm_transpose.o'
49. /gap_sdk/tools/rules/pulp_rules.mk:204: warning: overriding recipe for target '/module/data/BUILD/GAP8_V2/GCC_RISCV//gap_sdk/tools/nntool//autotiler/kernels/copy.o'
50. /gap_sdk/tools/rules/pulp_rules.mk:204: warning: ignoring old recipe for target '/module/data/BUILD/GAP8_V2/GCC_RISCV//gap_sdk/tools/nntool//autotiler/kernels/copy.o'
51. /gap_sdk/tools/rules/pulp_rules.mk:203: target '/module/data/BUILD/GAP8_V2/GCC_RISCV//gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_Activation_SQ8.o' given more than once in the same rule
52. /gap_sdk/tools/rules/pulp_rules.mk:203: target '/module/data/BUILD/GAP8_V2/GCC_RISCV//gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_Bias_Linear_SQ8.o' given more than once in the same rule
53. /gap_sdk/tools/rules/pulp_rules.mk:203: target '/module/data/BUILD/GAP8_V2/GCC_RISCV//gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_Conv_SQ8.o' given more than once in the same rule
54. /gap_sdk/tools/rules/pulp_rules.mk:203: target '/module/data/BUILD/GAP8_V2/GCC_RISCV//gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_Pooling_SQ8.o' given more than once in the same rule
55. /gap_sdk/tools/rules/pulp_rules.mk:203: target '/module/data/BUILD/GAP8_V2/GCC_RISCV//gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_Conv_DW_SQ8.o' given more than once in the same rule
56. /gap_sdk/tools/rules/pulp_rules.mk:203: target '/module/data/BUILD/GAP8_V2/GCC_RISCV//gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_MatAlgebra_SQ8.o' given more than once in the same rule
57. /gap_sdk/tools/rules/pulp_rules.mk:203: target '/module/data/BUILD/GAP8_V2/GCC_RISCV//gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_SoftMax_SQ8.o' given more than once in the same rule
58. /gap_sdk/tools/rules/pulp_rules.mk:203: target '/module/data/BUILD/GAP8_V2/GCC_RISCV//gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_AT_Misc.o' given more than once in the same rule
59. /gap_sdk/tools/rules/pulp_rules.mk:203: target '/module/data/BUILD/GAP8_V2/GCC_RISCV//gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/RNN_SQ8.o' given more than once in the same rule
60. /gap_sdk/tools/rules/pulp_rules.mk:203: target '/module/data/BUILD/GAP8_V2/GCC_RISCV//gap_sdk/tools/nntool//autotiler/kernels/norm_transpose.o' given more than once in the same rule
61. /gap_sdk/tools/rules/pulp_rules.mk:203: target '/module/data/BUILD/GAP8_V2/GCC_RISCV//gap_sdk/tools/nntool//autotiler/kernels/copy.o' given more than once in the same rule
62. /gap_sdk/tools/rules/pulp_rules.mk:203: target '/module/data/BUILD/GAP8_V2/GCC_RISCV/main.o' given more than once in the same rule
63. /gap_sdk/tools/rules/pulp_rules.mk:203: target '/module/data/BUILD/GAP8_V2/GCC_RISCV/BUILD_MODEL_SQ8BIT/networkKernels.o' given more than once in the same rule
64. /gap_sdk/tools/rules/pulp_rules.mk:203: target '/module/data/BUILD/GAP8_V2/GCC_RISCV//gap_sdk/libs/gap_lib/img_io/ImgIO.o' given more than once in the same rule
65. /gap_sdk/tools/rules/pulp_rules.mk:203: target '/module/data/BUILD/GAP8_V2/GCC_RISCV//gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_Activation_SQ8.o' given more than once in the same rule
66. /gap_sdk/tools/rules/pulp_rules.mk:203: target '/module/data/BUILD/GAP8_V2/GCC_RISCV//gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_Bias_Linear_SQ8.o' given more than once in the same rule
67. /gap_sdk/tools/rules/pulp_rules.mk:203: target '/module/data/BUILD/GAP8_V2/GCC_RISCV//gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_Conv_SQ8.o' given more than once in the same rule
68. /gap_sdk/tools/rules/pulp_rules.mk:203: target '/module/data/BUILD/GAP8_V2/GCC_RISCV//gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_Pooling_SQ8.o' given more than once in the same rule
69. /gap_sdk/tools/rules/pulp_rules.mk:203: target '/module/data/BUILD/GAP8_V2/GCC_RISCV//gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_Conv_DW_SQ8.o' given more than once in the same rule
70. /gap_sdk/tools/rules/pulp_rules.mk:203: target '/module/data/BUILD/GAP8_V2/GCC_RISCV//gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_MatAlgebra_SQ8.o' given more than once in the same rule
71. /gap_sdk/tools/rules/pulp_rules.mk:203: target '/module/data/BUILD/GAP8_V2/GCC_RISCV//gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_SoftMax_SQ8.o' given more than once in the same rule
72. /gap_sdk/tools/rules/pulp_rules.mk:203: target '/module/data/BUILD/GAP8_V2/GCC_RISCV//gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_AT_Misc.o' given more than once in the same rule
73. /gap_sdk/tools/rules/pulp_rules.mk:203: target '/module/data/BUILD/GAP8_V2/GCC_RISCV//gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/RNN_SQ8.o' given more than once in the same rule
74. /gap_sdk/tools/rules/pulp_rules.mk:203: target '/module/data/BUILD/GAP8_V2/GCC_RISCV//gap_sdk/tools/nntool//autotiler/kernels/norm_transpose.o' given more than once in the same rule
75. /gap_sdk/tools/rules/pulp_rules.mk:203: target '/module/data/BUILD/GAP8_V2/GCC_RISCV//gap_sdk/tools/nntool//autotiler/kernels/copy.o' given more than once in the same rule
76. /gap_sdk/tools/rules/pulp_rules.mk:203: target '/module/data/BUILD/GAP8_V2/GCC_RISCV//gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_Activation_SQ8.o' given more than once in the same rule
77. /gap_sdk/tools/rules/pulp_rules.mk:203: target '/module/data/BUILD/GAP8_V2/GCC_RISCV//gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_Bias_Linear_SQ8.o' given more than once in the same rule
78. /gap_sdk/tools/rules/pulp_rules.mk:203: target '/module/data/BUILD/GAP8_V2/GCC_RISCV//gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_Conv_SQ8.o' given more than once in the same rule
79. /gap_sdk/tools/rules/pulp_rules.mk:203: target '/module/data/BUILD/GAP8_V2/GCC_RISCV//gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_Pooling_SQ8.o' given more than once in the same rule
80. /gap_sdk/tools/rules/pulp_rules.mk:203: target '/module/data/BUILD/GAP8_V2/GCC_RISCV//gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_Conv_DW_SQ8.o' given more than once in the same rule
81. /gap_sdk/tools/rules/pulp_rules.mk:203: target '/module/data/BUILD/GAP8_V2/GCC_RISCV//gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_MatAlgebra_SQ8.o' given more than once in the same rule
82. /gap_sdk/tools/rules/pulp_rules.mk:203: target '/module/data/BUILD/GAP8_V2/GCC_RISCV//gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_SoftMax_SQ8.o' given more than once in the same rule
83. /gap_sdk/tools/rules/pulp_rules.mk:203: target '/module/data/BUILD/GAP8_V2/GCC_RISCV//gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_AT_Misc.o' given more than once in the same rule
84. /gap_sdk/tools/rules/pulp_rules.mk:203: target '/module/data/BUILD/GAP8_V2/GCC_RISCV//gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/RNN_SQ8.o' given more than once in the same rule
85. /gap_sdk/tools/rules/pulp_rules.mk:203: target '/module/data/BUILD/GAP8_V2/GCC_RISCV//gap_sdk/tools/nntool//autotiler/kernels/norm_transpose.o' given more than once in the same rule
86. /gap_sdk/tools/rules/pulp_rules.mk:203: target '/module/data/BUILD/GAP8_V2/GCC_RISCV//gap_sdk/tools/nntool//autotiler/kernels/copy.o' given more than once in the same rule
87. /gap_sdk/tools/rules/pulp_rules.mk:208: warning: overriding recipe for target '/module/data/BUILD/GAP8_V2/GCC_RISCV/pulp-os/conf.o'
88. /gap_sdk/tools/rules/pulp_rules.mk:208: warning: ignoring old recipe for target '/module/data/BUILD/GAP8_V2/GCC_RISCV/pulp-os/conf.o'
89. /gap_sdk/tools/rules/pulp_rules.mk:212: warning: overriding recipe for target '/module/data/BUILD/GAP8_V2/GCC_RISCV/imagenet'
90. /gap_sdk/tools/rules/pulp_rules.mk:212: warning: ignoring old recipe for target '/module/data/BUILD/GAP8_V2/GCC_RISCV/imagenet'
91. /gap_sdk/tools/rules/pulp_rules.mk:229: warning: overriding recipe for target 'flash'
92. /gap_sdk/tools/rules/pulp_rules.mk:229: warning: ignoring old recipe for target 'flash'
93. /gap_sdk/tools/rules/pulp_rules.mk:232: warning: overriding recipe for target 'flash_fs'
94. /gap_sdk/tools/rules/pulp_rules.mk:232: warning: ignoring old recipe for target 'flash_fs'
95. /gap_sdk/tools/rules/pulp_rules.mk:235: warning: overriding recipe for target 'image'
96. /gap_sdk/tools/rules/pulp_rules.mk:235: warning: ignoring old recipe for target 'image'
97. /gap_sdk/tools/rules/pulp_rules.mk:238: warning: overriding recipe for target 'run.prepare'
98. /gap_sdk/tools/rules/pulp_rules.mk:238: warning: ignoring old recipe for target 'run.prepare'
99. /gap_sdk/tools/rules/pulp_rules.mk:241: warning: overriding recipe for target 'run.exec'
100. /gap_sdk/tools/rules/pulp_rules.mk:241: warning: ignoring old recipe for target 'run.exec'
101. /gap_sdk/tools/rules/pulp_rules.mk:244: warning: overriding recipe for target 'run'
102. /gap_sdk/tools/rules/pulp_rules.mk:244: warning: ignoring old recipe for target 'run'
103. /gap_sdk/tools/rules/pulp_rules.mk:248: warning: overriding recipe for target 'profiler'
104. /gap_sdk/tools/rules/pulp_rules.mk:248: warning: ignoring old recipe for target 'profiler'
105. /gap_sdk/tools/rules/pulp_rules.mk:255: warning: overriding recipe for target '/module/data/BUILD/GAP8_V2/GCC_RISCV/imagenet.s'
106. /gap_sdk/tools/rules/pulp_rules.mk:255: warning: ignoring old recipe for target '/module/data/BUILD/GAP8_V2/GCC_RISCV/imagenet.s'
107. /gap_sdk/tools/rules/pulp_rules.mk:262: warning: overriding recipe for target 'version'
108. /gap_sdk/tools/rules/pulp_rules.mk:262: warning: ignoring old recipe for target 'version'
109. rm -f BUILD_MODEL_SQ8BIT/GenTile
110. rm -f -rf BUILD_MODEL_SQ8BIT
111. rm -f -rf nntool_output
112. mkdir BUILD_MODEL_SQ8BIT
113. cp nntool_input/models_onnx/model_original_himax.onnx BUILD_MODEL_SQ8BIT/network.onnx
114. echo "GENERATING NNTOOL STATE FILE"
115. GENERATING NNTOOL STATE FILE
116. echo BUILD_MODEL_SQ8BIT
117. BUILD_MODEL_SQ8BIT
118. nntool -s nntool_input/nntool_scripts/nntool_script_deployment BUILD_MODEL_SQ8BIT/network.onnx -q
119. -s is not a recognized command, alias, or macro
120. nntool_input/nntool_scripts/nntool_script_deployment is not a recognized command, alias, or macro
121. BUILD_MODEL_SQ8BIT/network.onnx is not a recognized command, alias, or macro
122. -q is not a recognized command, alias, or macro
123. open - opening graph file BUILD_MODEL_SQ8BIT/network.onnx
124. onnx - unable to determine batch dimension. if the graph fails to import properly set it to 1 or a variable.
125. nngraph - update graph dimensions
126. set_aliases - looking for aliased edges
127. nngraph - calculate liveness
128. debug - was: False
129. now: True
130. adjust_order - adding transposes to correct tensor order for AT kernels
131. set_aliases - looking for aliased edges
132. eliminate_transposes - eliminating unnecessary transposes
133. eliminate_transposes - search for transposes
134. eliminate_transposes - no transposes to eliminate found
135. nngraph - update graph dimensions
136. set_aliases - looking for aliased edges
137. nngraph - calculate liveness
138. eliminate_transposes - no further transpose sequences found
139. set_aliases - looking for aliased edges
140. nngraph - adjusted order
141. nngraph - update graph dimensions
142. set_aliases - looking for aliased edges
143. nngraph - calculate liveness
144. matcher - fusions - start remove_relus
145. matcher - fusions - start remove_noops
146. matcher - fusions - start fuse_external_bias_sq8
147. matcher - fusions - start fuse_pad
148. matcher - fusions - start unused_concats
149. matcher - fusions - start gather_to_split
150. gather_to_split - gathers from Gemm_31[0] converted to a split
151. matcher - fusions - gather_to_split modified graph
152. nngraph - update graph dimensions
153. set_aliases - looking for aliased edges
154. nngraph - calculate liveness
155. matcher - fusions - start find_missing_quantization
156. matcher - fusions - start rnn_reverse
157. nngraph - update graph dimensions
158. set_aliases - looking for aliased edges
159. nngraph - calculate liveness
160. matcher - fusions - start rnn_unpack
161. matcher - fusions - start match_far_hsigmoid
162. matcher - fusions - start match_close_hsigmoid
163. matcher - fusions - start expand_transposes
164. matcher - fusions - start move_pooling_scale8
165. matcher - fusions - start move_activations_scale8
166. move_node_up - Node Sigmoid_36 cannot be moved
167. matcher - fusions - start fuse_gap_convs
168. matcher - fusions - start match_conv_active_pool
169. matcher - fusions - start match_conv_pool_active
170. matcher - fusions - start match_conv_active
171. match_gap_conv - fusing nodes Conv_2,Clip_4
172. match_gap_conv - fusing nodes Conv_5,Clip_7
173. match_gap_conv - fusing nodes Conv_8,Clip_9
174. match_gap_conv - fusing nodes Conv_11,Clip_13
175. match_gap_conv - fusing nodes Conv_14,Clip_16
176. match_gap_conv - fusing nodes Conv_17,Clip_18
177. match_gap_conv - fusing nodes Conv_20,Clip_22
178. match_gap_conv - fusing nodes Conv_23,Clip_25
179. match_gap_conv - fusing nodes Conv_26,Clip_27
180. matcher - fusions - match_conv_active modified graph
181. nngraph - update graph dimensions
182. set_aliases - looking for aliased edges
183. nngraph - calculate liveness
184. matcher - fusions - start match_conv_pool
185. match_gap_conv - fusing nodes Conv_0,MaxPool_1
186. matcher - fusions - match_conv_pool modified graph
187. nngraph - update graph dimensions
188. set_aliases - looking for aliased edges
189. nngraph - calculate liveness
190. matcher - fusions - start fuse_gap_linear
191. matcher - fusions - start fuse_op_activation_scale8
192. matcher - fusions - fuse_op_activation_scale8 modified graph
193. nngraph - update graph dimensions
194. set_aliases - looking for aliased edges
195. nngraph - calculate liveness
196. matcher - fusions - start propagate_softmax_sym_qrec
197. matcher - fusions - start equalize_sm_concats
198. matcher - fusions - start filter_bigger_than_input
199. matcher - fusions - start insert_copies
200. nngraph - update graph dimensions
201. set_aliases - looking for aliased edges
202. nngraph - calculate liveness
203. matcher - fusions - start propagate_up_rnn_in_qs
204. nngraph - update graph dimensions
205. set_aliases - looking for aliased edges
206. nngraph - calculate liveness
207. input_norm_func - was: ''
208. now: 'x:x/255'
209. aquant - input file ['nntool_input/quantization_files/1479425441232704425.jpg']
210. graph_executer - execute uncached: quantization mode none
211. aquant - input file ['nntool_input/quantization_files/1479425443582977575.jpg']
212. graph_executer - execute uncached: quantization mode none
213. aquant - input file ['nntool_input/quantization_files/frame_00164.jpg']
214. graph_executer - execute uncached: quantization mode none
215. aquant - input file ['nntool_input/quantization_files/1479425448633847925.jpg']
216. graph_executer - execute uncached: quantization mode none
217. aquant - input file ['nntool_input/quantization_files/frame_00079.jpg']
218. graph_executer - execute uncached: quantization mode none
219. aquant - input file ['nntool_input/quantization_files/frame_00135.jpg']
220. graph_executer - execute uncached: quantization mode none
221. aquant - input file ['nntool_input/quantization_files/frame_00064.jpg']
222. graph_executer - execute uncached: quantization mode none
223. aquant - input file ['nntool_input/quantization_files/frame_00014.jpg']
224. graph_executer - execute uncached: quantization mode none
225. aquant - input file ['nntool_input/quantization_files/frame_00143.jpg']
226. graph_executer - execute uncached: quantization mode none
227. aquant - input file ['nntool_input/quantization_files/1479425443382879593.jpg']
228. graph_executer - execute uncached: quantization mode none
229. aquant - input file ['nntool_input/quantization_files/1479425443833012205.jpg']
230. graph_executer - execute uncached: quantization mode none
231. aquant - input file ['nntool_input/quantization_files/frame_00037.jpg']
232. graph_executer - execute uncached: quantization mode none
233. aquant - input file ['nntool_input/quantization_files/frame_00033.jpg']
234. graph_executer - execute uncached: quantization mode none
235. aquant - input file ['nntool_input/quantization_files/frame_00191.jpg']
236. graph_executer - execute uncached: quantization mode none
237. aquant - input file ['nntool_input/quantization_files/frame_00194.jpg']
238. graph_executer - execute uncached: quantization mode none
239. aquant - input file ['nntool_input/quantization_files/1479425443432903742.jpg']
240. graph_executer - execute uncached: quantization mode none
241. aquant - input file ['nntool_input/quantization_files/frame_00013.jpg']
242. graph_executer - execute uncached: quantization mode none
243. aquant - input file ['nntool_input/quantization_files/frame_00136.jpg']
244. graph_executer - execute uncached: quantization mode none
245. aquant - input file ['nntool_input/quantization_files/frame_00078.jpg']
246. graph_executer - execute uncached: quantization mode none
247. aquant - input file ['nntool_input/quantization_files/1479425441282730750.jpg']
248. graph_executer - execute uncached: quantization mode none
249. aquant - input file ['nntool_input/quantization_files/frame_00192.jpg']
250. graph_executer - execute uncached: quantization mode none
251. aquant - input file ['nntool_input/quantization_files/frame_00193.jpg']
252. graph_executer - execute uncached: quantization mode none
253. aquant - input file ['nntool_input/quantization_files/1479425443782898808.jpg']
254. graph_executer - execute uncached: quantization mode none
255. aquant - input file ['nntool_input/quantization_files/1479425448133784412.jpg']
256. graph_executer - execute uncached: quantization mode none
257. aquant - input file ['nntool_input/quantization_files/frame_00139.jpg']
258. graph_executer - execute uncached: quantization mode none
259. aquant - input file ['nntool_input/quantization_files/frame_00001.jpg']
260. graph_executer - execute uncached: quantization mode none
261. aquant - input file ['nntool_input/quantization_files/1479425451134304083.jpg']
262. graph_executer - execute uncached: quantization mode none
263. aquant - input file ['nntool_input/quantization_files/frame_00016.jpg']
264. graph_executer - execute uncached: quantization mode none
265. aquant - input file ['nntool_input/quantization_files/frame_00036.jpg']
266. graph_executer - execute uncached: quantization mode none
267. aquant - input file ['nntool_input/quantization_files/frame_00151.jpg']
268. graph_executer - execute uncached: quantization mode none
269. aquant - input file ['nntool_input/quantization_files/frame_00038.jpg']
270. graph_executer - execute uncached: quantization mode none
271. aquant - input file ['nntool_input/quantization_files/1479425444633286162.jpg']
272. graph_executer - execute uncached: quantization mode none
273. aquant - input file ['nntool_input/quantization_files/frame_00017.jpg']
274. graph_executer - execute uncached: quantization mode none
275. aquant - input file ['nntool_input/quantization_files/1479425447083596868.jpg']
276. graph_executer - execute uncached: quantization mode none
277. aquant - input file ['nntool_input/quantization_files/frame_00035.jpg']
278. graph_executer - execute uncached: quantization mode none
279. aquant - input file ['nntool_input/quantization_files/1479425447133467484.jpg']
280. graph_executer - execute uncached: quantization mode none
281. aquant - input file ['nntool_input/quantization_files/frame_00058.jpg']
282. graph_executer - execute uncached: quantization mode none
283. aquant - input file ['nntool_input/quantization_files/frame_00195.jpg']
284. graph_executer - execute uncached: quantization mode none
285. aquant - input file ['nntool_input/quantization_files/frame_00121.jpg']
286. graph_executer - execute uncached: quantization mode none
287. aquant - input file ['nntool_input/quantization_files/frame_00034.jpg']
288. graph_executer - execute uncached: quantization mode none
289. aquant - input file ['nntool_input/quantization_files/frame_00140.jpg']
290. graph_executer - execute uncached: quantization mode none
291. aquant - input file ['nntool_input/quantization_files/frame_00015.jpg']
292. graph_executer - execute uncached: quantization mode none
293. aquant - input file ['nntool_input/quantization_files/1479425443682982187.jpg']
294. graph_executer - execute uncached: quantization mode none
295. aquant - input file ['nntool_input/quantization_files/frame_00131.jpg']
296. graph_executer - execute uncached: quantization mode none
297. aquant - input file ['nntool_input/quantization_files/frame_00018.jpg']
298. graph_executer - execute uncached: quantization mode none
299. aquant - input file ['nntool_input/quantization_files/frame_00158.jpg']
300. graph_executer - execute uncached: quantization mode none
301. aquant - input file ['nntool_input/quantization_files/1479425441182877835.jpg']
302. graph_executer - execute uncached: quantization mode none
303. aquant - input file ['nntool_input/quantization_files/1479425445983503068.jpg']
304. graph_executer - execute uncached: quantization mode none
305. aquant - input file ['nntool_input/quantization_files/frame_00032.jpg']
306. graph_executer - execute uncached: quantization mode none
307. aquant - Quantization set. Use qshow command to see it.
308. +------+----------------+------------------+------------------+------------------+----------+----------+-------+-------+
309. | Step |      Name      |        In        |       Out        |     Weights      |   Bias   | Mulbias  | Calc  |  Acc  |
310. +======+================+==================+==================+==================+==========+==========+=======+=======+
311. |  0   | input_1        |                  | -1.01<i8*0.00787 |                  |          |          |       |       |
312. |      |                |                  | 402<1.00         |                  |          |          |       |       |
313. +------+----------------+------------------+------------------+------------------+----------+----------+-------+-------+
314. |  1   | Conv_0         | -1.01<i8*0.00787 | -4.27<i8*0.03333 | chan<i8*chan<cha | i32*chan | 8b>>chan | Q32.0 | Q32.0 |
315. |      |                | 402<1.00         | 554<4.23         | n                |          |          |       |       |
316. +------+----------------+------------------+------------------+------------------+----------+----------+-------+-------+
317. |  1   | MaxPool_1      | -4.27<i8*0.03333 | -4.27<i8*0.03333 |                  |          |          |       |       |
318. |      |                | 554<4.23         | 554<4.23         |                  |          |          |       |       |
319. +------+----------------+------------------+------------------+------------------+----------+----------+-------+-------+
320. |  1   | Conv_0_fusion  | -1.01<i8*0.00787 | -4.27<i8*0.03333 |                  |          |          |       |       |
321. |      |                | 402<1.00         | 554<4.23         |                  |          |          |       |       |
322. +------+----------------+------------------+------------------+------------------+----------+----------+-------+-------+
323. |  2   | Conv_2         | -4.27<i8*0.03333 | -6.05<i8*0.04724 | chan<i8*chan<cha | i32*chan | 8b>>chan | Q32.0 | Q32.0 |
324. |      |                | 554<4.23         | 409<6.00         | n                |          |          |       |       |
325. +------+----------------+------------------+------------------+------------------+----------+----------+-------+-------+
326. |  2   | Clip_4         | -6.05<i8*0.04724 | -6.05<i8*0.04724 |                  |          |          |       |       |
327. |      |                | 409<6.00         | 409<6.00         |                  |          |          |       |       |
328. +------+----------------+------------------+------------------+------------------+----------+----------+-------+-------+
329. |  2   | Conv_2_fusion  | -4.27<i8*0.03333 | -6.05<i8*0.04724 |                  |          |          |       |       |
330. |      |                | 554<4.23         | 409<6.00         |                  |          |          |       |       |
331. +------+----------------+------------------+------------------+------------------+----------+----------+-------+-------+
332. |  3   | Conv_5         | -6.05<i8*0.04724 | -6.05<i8*0.04724 | chan<i8*chan<cha | i32*chan | 8b>>chan | Q32.0 | Q32.0 |
333. |      |                | 409<6.00         | 409<6.00         | n                |          |          |       |       |
334. +------+----------------+------------------+------------------+------------------+----------+----------+-------+-------+
335. |  3   | Clip_7         | -6.05<i8*0.04724 | -6.05<i8*0.04724 |                  |          |          |       |       |
336. |      |                | 409<6.00         | 409<6.00         |                  |          |          |       |       |
337. +------+----------------+------------------+------------------+------------------+----------+----------+-------+-------+
338. |  3   | Conv_5_fusion  | -6.05<i8*0.04724 | -6.05<i8*0.04724 |                  |          |          |       |       |
339. |      |                | 409<6.00         | 409<6.00         |                  |          |          |       |       |
340. +------+----------------+------------------+------------------+------------------+----------+----------+-------+-------+
341. |  4   | Conv_8         | -4.27<i8*0.03333 | -4.89<i8*0.03819 | chan<i8*chan<cha | i32*chan | 8b>>chan | Q32.0 | Q32.0 |
342. |      |                | 554<4.23         | 656<4.85         | n                |          |          |       |       |
343. +------+----------------+------------------+------------------+------------------+----------+----------+-------+-------+
344. |  4   | Clip_9         | -4.89<i8*0.03819 | -4.89<i8*0.03819 |                  |          |          |       |       |
345. |      |                | 656<4.85         | 656<4.85         |                  |          |          |       |       |
346. +------+----------------+------------------+------------------+------------------+----------+----------+-------+-------+
347. |  4   | Conv_8_fusion  | -4.27<i8*0.03333 | -4.89<i8*0.03819 |                  |          |          |       |       |
348. |      |                | 554<4.23         | 656<4.85         |                  |          |          |       |       |
349. +------+----------------+------------------+------------------+------------------+----------+----------+-------+-------+
350. |  5   | Add_10         | -6.05<i8*0.04724 | -6.05<i8*0.04724 |                  |          |          |       |       |
351. |      |                | 409<6.00,-4.89<i | 409<6.00         |                  |          |          |       |       |
352. |      |                | 8*0.03819656<4.8 |                  |                  |          |          |       |       |
353. |      |                | 5                |                  |                  |          |          |       |       |
354. +------+----------------+------------------+------------------+------------------+----------+----------+-------+-------+
355. |  6   | Conv_11        | -6.05<i8*0.04724 | -6.05<i8*0.04724 | chan<i8*chan<cha | i32*chan | 8b>>chan | Q32.0 | Q32.0 |
356. |      |                | 409<6.00         | 409<6.00         | n                |          |          |       |       |
357. +------+----------------+------------------+------------------+------------------+----------+----------+-------+-------+
358. |  6   | Clip_13        | -6.05<i8*0.04724 | -6.05<i8*0.04724 |                  |          |          |       |       |
359. |      |                | 409<6.00         | 409<6.00         |                  |          |          |       |       |
360. +------+----------------+------------------+------------------+------------------+----------+----------+-------+-------+
361. |  6   | Conv_11_fusion | -6.05<i8*0.04724 | -6.05<i8*0.04724 |                  |          |          |       |       |
362. |      |                | 409<6.00         | 409<6.00         |                  |          |          |       |       |
363. +------+----------------+------------------+------------------+------------------+----------+----------+-------+-------+
364. |  7   | Conv_14        | -6.05<i8*0.04724 | -6.05<i8*0.04724 | chan<i8*chan<cha | i32*chan | 8b>>chan | Q32.0 | Q32.0 |
365. |      |                | 409<6.00         | 409<6.00         | n                |          |          |       |       |
366. +------+----------------+------------------+------------------+------------------+----------+----------+-------+-------+
367. |  7   | Clip_16        | -6.05<i8*0.04724 | -6.05<i8*0.04724 |                  |          |          |       |       |
368. |      |                | 409<6.00         | 409<6.00         |                  |          |          |       |       |
369. +------+----------------+------------------+------------------+------------------+----------+----------+-------+-------+
370. |  7   | Conv_14_fusion | -6.05<i8*0.04724 | -6.05<i8*0.04724 |                  |          |          |       |       |
371. |      |                | 409<6.00         | 409<6.00         |                  |          |          |       |       |
372. +------+----------------+------------------+------------------+------------------+----------+----------+-------+-------+
373. |  8   | Conv_17        | -6.05<i8*0.04724 | -4.91<i8*0.03837 | chan<i8*chan<cha | i32*chan | 8b>>chan | Q32.0 | Q32.0 |
374. |      |                | 409<6.00         | 075<4.87         | n                |          |          |       |       |
375. +------+----------------+------------------+------------------+------------------+----------+----------+-------+-------+
376. |  8   | Clip_18        | -4.91<i8*0.03837 | -4.91<i8*0.03837 |                  |          |          |       |       |
377. |      |                | 075<4.87         | 075<4.87         |                  |          |          |       |       |
378. +------+----------------+------------------+------------------+------------------+----------+----------+-------+-------+
379. |  8   | Conv_17_fusion | -6.05<i8*0.04724 | -4.91<i8*0.03837 |                  |          |          |       |       |
380. |      |                | 409<6.00         | 075<4.87         |                  |          |          |       |       |
381. +------+----------------+------------------+------------------+------------------+----------+----------+-------+-------+
382. |  9   | Add_19         | -6.05<i8*0.04724 | -6.05<i8*0.04724 |                  |          |          |       |       |
383. |      |                | 409<6.00,-4.91<i | 409<6.00         |                  |          |          |       |       |
384. |      |                | 8*0.03837075<4.8 |                  |                  |          |          |       |       |
385. |      |                | 7                |                  |                  |          |          |       |       |
386. +------+----------------+------------------+------------------+------------------+----------+----------+-------+-------+
387. |  10  | Conv_20        | -6.05<i8*0.04724 | -6.05<i8*0.04724 | chan<i8*chan<cha | i32*chan | 8b>>chan | Q32.0 | Q32.0 |
388. |      |                | 409<6.00         | 409<6.00         | n                |          |          |       |       |
389. +------+----------------+------------------+------------------+------------------+----------+----------+-------+-------+
390. |  10  | Clip_22        | -6.05<i8*0.04724 | -6.05<i8*0.04724 |                  |          |          |       |       |
391. |      |                | 409<6.00         | 409<6.00         |                  |          |          |       |       |
392. +------+----------------+------------------+------------------+------------------+----------+----------+-------+-------+
393. |  10  | Conv_20_fusion | -6.05<i8*0.04724 | -6.05<i8*0.04724 |                  |          |          |       |       |
394. |      |                | 409<6.00         | 409<6.00         |                  |          |          |       |       |
395. +------+----------------+------------------+------------------+------------------+----------+----------+-------+-------+
396. |  11  | Conv_23        | -6.05<i8*0.04724 | -1.14<i8*0.00890 | chan<i8*chan<cha | i32*chan | 8b>>chan | Q32.0 | Q32.0 |
397. |      |                | 409<6.00         | 456<1.13         | n                |          |          |       |       |
398. +------+----------------+------------------+------------------+------------------+----------+----------+-------+-------+
399. |  11  | Clip_25        | -1.14<i8*0.00890 | -1.14<i8*0.00890 |                  |          |          |       |       |
400. |      |                | 456<1.13         | 456<1.13         |                  |          |          |       |       |
401. +------+----------------+------------------+------------------+------------------+----------+----------+-------+-------+
402. |  11  | Conv_23_fusion | -6.05<i8*0.04724 | -1.14<i8*0.00890 |                  |          |          |       |       |
403. |      |                | 409<6.00         | 456<1.13         |                  |          |          |       |       |
404. +------+----------------+------------------+------------------+------------------+----------+----------+-------+-------+
405. |  12  | Conv_26        | -6.05<i8*0.04724 | -0.05<i8*0.00040 | chan<i8*chan<cha | i32*chan | 8b>>chan | Q32.0 | Q32.0 |
406. |      |                | 409<6.00         | 486<0.05         | n                |          |          |       |       |
407. +------+----------------+------------------+------------------+------------------+----------+----------+-------+-------+
408. |  12  | Clip_27        | -0.05<i8*0.00040 | -0.05<i8*0.00040 |                  |          |          |       |       |
409. |      |                | 486<0.05         | 486<0.05         |                  |          |          |       |       |
410. +------+----------------+------------------+------------------+------------------+----------+----------+-------+-------+
411. |  12  | Conv_26_fusion | -6.05<i8*0.04724 | -0.05<i8*0.00040 |                  |          |          |       |       |
412. |      |                | 409<6.00         | 486<0.05         |                  |          |          |       |       |
413. +------+----------------+------------------+------------------+------------------+----------+----------+-------+-------+
414. |  13  | Add_28fusion   | -1.14<i8*0.00890 | -2.28<i8*0.01780 |                  |          |          |       |       |
415. |      |                | 456<1.13,-0.05<i | 912<2.26         |                  |          |          |       |       |
416. |      |                | 8*0.00040486<0.0 |                  |                  |          |          |       |       |
417. |      |                | 5                |                  |                  |          |          |       |       |
418. +------+----------------+------------------+------------------+------------------+----------+----------+-------+-------+
419. |  14  | Flatten_30     | -2.28<i8*0.01780 | -2.28<i8*0.01780 |                  |          |          |       |       |
420. |      |                | 912<2.26         | 912<2.26         |                  |          |          |       |       |
421. +------+----------------+------------------+------------------+------------------+----------+----------+-------+-------+
422. |  15  | Gemm_31        | -2.28<i8*0.01780 | -40.88<i8*0.3193 | chan<i8*chan<cha | i32*chan | 8b>>chan | Q32.0 | Q32.0 |
423. |      |                | 912<2.26         | 5582<40.56       | n                |          |          |       |       |
424. +------+----------------+------------------+------------------+------------------+----------+----------+-------+-------+
425. |  16  | Gemm_31_split  | -40.88<i8*0.3193 | -40.88<i8*0.3193 |                  |          |          |       |       |
426. |      |                | 5582<40.56       | 5582<40.56,-40.8 |                  |          |          |       |       |
427. |      |                |                  | 8<i8*0.31935582< |                  |          |          |       |       |
428. |      |                |                  | 40.56            |                  |          |          |       |       |
429. +------+----------------+------------------+------------------+------------------+----------+----------+-------+-------+
430. |  17  | output_1       | -40.88<i8*0.3193 | -40.88<i8*0.3193 |                  |          |          |       |       |
431. |      |                | 5582<40.56       | 5582<40.56       |                  |          |          |       |       |
432. +------+----------------+------------------+------------------+------------------+----------+----------+-------+-------+
433. |  18  | Sigmoid_36     | -40.88<i8*0.3193 | -1.01<i8*0.00787 |                  |          |          |       |       |
434. |      |                | 5582<40.56       | 402<1.00         |                  |          |          |       |       |
435. +------+----------------+------------------+------------------+------------------+----------+----------+-------+-------+
436. |  19  | output_2       | -1.01<i8*0.00787 | -1.01<i8*0.00787 |                  |          |          |       |       |
437. |      |                | 402<1.00         | 402<1.00         |                  |          |          |       |       |
438. +------+----------------+------------------+------------------+------------------+----------+----------+-------+-------+
439. nngraph - update graph dimensions
440. set_aliases - looking for aliased edges
441. nngraph - calculate liveness
442. l3_ram_ext_managed - was: False
443. now: True
444. default_input_exec_location - was: 'AT_MEM_L2'
445. now: 'AT_MEM_L3_HRAM'
446. graph_produce_node_names - was: False
447. now: True
448. graph_reorder_constant_in - was: True
449. now: True
450. graph_produce_operinfos - was: False
451. now: True
452. graph_monitor_cycles - was: False
453. now: True
454. new_param_state - saving parameters for step input_1 input_1
455. new_param_state - saving parameters for step input_1_formatter input_1_formatter
456. new_param_state - saving parameters for step Conv_0_fusion Conv_0
457. new_param_state - saving parameters for step Conv_0_fusion MaxPool_1
458. new_param_state - saving parameters for step Conv_0_fusion Conv_0_fusion
459. new_param_state - saving parameters for step Conv_2_fusion Conv_2
460. new_param_state - saving parameters for step Conv_2_fusion Clip_4
461. new_param_state - saving parameters for step Conv_2_fusion Conv_2_fusion
462. new_param_state - saving parameters for step Conv_5_fusion Conv_5
463. new_param_state - saving parameters for step Conv_5_fusion Clip_7
464. new_param_state - saving parameters for step Conv_5_fusion Conv_5_fusion
465. new_param_state - saving parameters for step Conv_8_fusion Conv_8
466. new_param_state - saving parameters for step Conv_8_fusion Clip_9
467. new_param_state - saving parameters for step Conv_8_fusion Conv_8_fusion
468. new_param_state - saving parameters for step Add_10 Add_10
469. new_param_state - saving parameters for step Conv_11_fusion Conv_11
470. new_param_state - saving parameters for step Conv_11_fusion Clip_13
471. new_param_state - saving parameters for step Conv_11_fusion Conv_11_fusion
472. new_param_state - saving parameters for step Conv_14_fusion Conv_14
473. new_param_state - saving parameters for step Conv_14_fusion Clip_16
474. new_param_state - saving parameters for step Conv_14_fusion Conv_14_fusion
475. new_param_state - saving parameters for step Conv_17_fusion Conv_17
476. new_param_state - saving parameters for step Conv_17_fusion Clip_18
477. new_param_state - saving parameters for step Conv_17_fusion Conv_17_fusion
478. new_param_state - saving parameters for step Add_19 Add_19
479. new_param_state - saving parameters for step Conv_20_fusion Conv_20
480. new_param_state - saving parameters for step Conv_20_fusion Clip_22
481. new_param_state - saving parameters for step Conv_20_fusion Conv_20_fusion
482. new_param_state - saving parameters for step Conv_23_fusion Conv_23
483. new_param_state - saving parameters for step Conv_23_fusion Clip_25
484. new_param_state - saving parameters for step Conv_23_fusion Conv_23_fusion
485. new_param_state - saving parameters for step Conv_26_fusion Conv_26
486. new_param_state - saving parameters for step Conv_26_fusion Clip_27
487. new_param_state - saving parameters for step Conv_26_fusion Conv_26_fusion
488. new_param_state - saving parameters for step Add_28fusion Add_28fusion
489. new_param_state - saving parameters for step Flatten_30 Flatten_30
490. new_param_state - saving parameters for step Gemm_31 Gemm_31
491. new_param_state - saving parameters for step Gemm_31_split Gemm_31_split
492. new_param_state - saving parameters for step output_1 output_1
493. new_param_state - saving parameters for step Sigmoid_36 Sigmoid_36
494. new_param_state - saving parameters for step output_2 output_2
495. new_param_state - dumping graph state to /module/data/BUILD_MODEL_SQ8BIT/network.json
496. new_param_state - dumping tensors to /module/data/BUILD_MODEL_SQ8BIT/network.nnparam
497. echo "GENERATING AUTOTILER MODEL"
498. GENERATING AUTOTILER MODEL
499. nntool -g -M nntool_output -m networkModel.c -T nntool_output/tensors BUILD_MODEL_SQ8BIT/network.json
500. onnx - unable to determine batch dimension. if the graph fails to import properly set it to 1 or a variable.
501. echo "COMPILING AUTOTILER MODEL"
502. COMPILING AUTOTILER MODEL
503. gcc -g -o BUILD_MODEL_SQ8BIT/GenTile -I. -I/gap_sdk/tools/autotiler_v3/Autotiler -I/gap_sdk/tools/autotiler_v3/Emulation -I/gap_sdk/tools/autotiler_v3/CNN_Generators -I/gap_sdk/tools/autotiler_v3/CNN_Generators_SQ8 -I/gap_sdk/tools/nntool//autotiler/generators -I/gap_sdk/tools/autotiler_v3/CNN_Libraries -I/gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8 -I/gap_sdk/tools/nntool//autotiler/kernels /gap_sdk/tools/autotiler_v3/CNN_Generators/CNN_Generator_Util.c /gap_sdk/tools/autotiler_v3/CNN_Generators_SQ8/CNN_Generators_SQ8.c /gap_sdk/tools/autotiler_v3/CNN_Generators_SQ8/RNN_Generators_SQ8.c /gap_sdk/tools/nntool//autotiler/generators/nntool_extra_generators.c nntool_output/networkModel.c /gap_sdk/tools/autotiler_v3/Autotiler/LibTile.a
504. echo "RUNNING AUTOTILER MODEL"
505. RUNNING AUTOTILER MODEL
506. BUILD_MODEL_SQ8BIT/GenTile -o BUILD_MODEL_SQ8BIT -c BUILD_MODEL_SQ8BIT --L1 46736 --L2 200000 --L3 8000000 --L1 46736 --L2 200000 --L3 8000000
507. CNN_NormBW: S1_Op_input_1_formatter
508. In  => Feat: 1 W:  200, H:    1
509. Out => Feat: 1, W:  200, H:    1
510.              KerName: CNN_NormBW_shift_fps
511. Nb Oper : 200
512.  
513. ==== Process Tiling For User Kernel:              S1_Op_input_1_formatter =======================
514. S1_Op_input_1_formatter Partition[0] Size =    808 (Min:      0, Max:    816), Fraction:       1.00, Giving:  46736 bytes out of  46736 bytes
515. Kernel: S1_Op_input_1_formatter, Total Raw Memory: 400 fits into L1 memory 46736. Promoting all kernel arguments to initialized buffers.
516. S1_Op_input_1_formatter For Iter Space: 0 Iteration count:   1, Given L1 Memory:  46736, Used L1 Memory:    400, Reusable Memory: 46336, Used L2 Memory: 0
517. =================================================================================================
518.  
519. InFeat: 1, OutFeat: 32
520. Conv => W:  200, Pad:[2,1] PadT:[2,1] => Wc: 100, Filter:[5,5]
521.      => H:  200, Pad:[2,1] PadT:[2,1] => Hc: 100
522. Pool => Wc: 100, Pad:[0,0] => Wo: 50, Filter:[2,2]
523.      => Hc: 100, Pad:[0,0] => Ho: 50
524. OverlapC: 3
525. OverlapP: 0
526. TileCons: 2
527. UsedIn  : [200 x 200]
528. UsedC   : [100 x 100]
529.       SetBiasKerName: KerParSetBiasB32_SQ8
530.          ConvKerName: KerParConv5x5Stride2_SQ8
531.   DPReductionKerName: KerParReductIO_CC_SQ8
532.          PoolKerName: KerParPool2x2Stride2_SQ8
533. Nb Oper : 8320000
534.  
535. ==== Process Tiling For User Kernel:       S2_Conv2d_32x1x5x5_MaxPool_2x2 =======================
536. S2_Conv2d_32x1x5x5_MaxPool_2x2 Partition[0] Size = 1290425 (Min:   2000, Max: 1523449), Fraction:       1.00, Giving:  46736 bytes out of  46736 bytes
537. S2_Conv2d_32x1x5x5_MaxPool_2x2 Full buffering on Arg: Bias, was using 256 bytes will require 128 bytes buffer
538. S2_Conv2d_32x1x5x5_MaxPool_2x2 Full buffering on Arg: Scale, was using 64 bytes will require 32 bytes buffer
539. S2_Conv2d_32x1x5x5_MaxPool_2x2 Full buffering on Arg: ScaleN, was using 64 bytes will require 32 bytes buffer
540. S2_Conv2d_32x1x5x5_MaxPool_2x2, TiledSpace: Tile0 Iteration Count: 50 Parametric Space: [D1, M0=32] Parametric Space: [D0, M1=1]
541.               In : Ratio: 4.000000, FixDim:    200, VarDim:      7 [   200], Size:   2800, Total:    2800, Move:      69400 (Decl x 1.735000) L2
542. *           Bias : Ratio: 0.000000,                                          Size:    128, Total:    2928, Move:        128 (Decl x 1.000000) L2
543. *          Scale : Ratio: 0.000000,                                          Size:     32, Total:    2960, Move:         32 (Decl x 1.000000) L2
544. *         ScaleN : Ratio: 0.000000,                                          Size:     32, Total:    2992, Move:         32 (Decl x 1.000000) L2
545. @         Filter : Ratio: 0.000000,                                          Size:    800, Total:    3792, Move:        800 (Decl x 1.000000) L2
546.              Out : Ratio: 1.000000, FixDim:     50, VarDim:      1 [    50], Size:   3200, Total:    6992, Move:      80000 (Decl x 1.000000) L2
547. *        ConvOut : Ratio: 2.000000, FixDim:    100, VarDim:      2 [   100], Size:  25600, Total:   32592, Move:          0 (Decl x 0.000000) L2
548. *          Infos : Ratio: 0.000000,                                          Size:     12, Total:   32604, Move:          9 (Decl x 1.000000) L2
549. S2_Conv2d_32x1x5x5_MaxPool_2x2 - IterSpace: Tile0 - L1 Memory:  32604, L2Move: 150401, L3Move: 0, Tiling Overhead: 1.242973
550. S2_Conv2d_32x1x5x5_MaxPool_2x2 Partial buffering on Arg: Filter, From: D0 To: D1. Current is (Par) 1 x [W:1, H:1] x 25 => Partial buffer size is 1600 bytes
551. S2_Conv2d_32x1x5x5_MaxPool_2x2 Found Parametric value for space D1 (Initial: 32, Div: 8) = 32 [32*1 + 0] and space D0 (Initial: 1, Div: 4) = 1 [1*1 + 0], Iteration for Tiled Space: 50
552. S2_Conv2d_32x1x5x5_MaxPool_2x2 For Iter Space: 0 Iteration count:  50, Given L1 Memory:  46736, Used L1 Memory:  33404, Reusable Memory: 13332, Used L2 Memory: 0
553. =================================================================================================
554.  
555. InFeat: 32, OutFeat: 32
556. Conv => W:  50, Pad:[1,0] PadT:[1,0] => Wc: 25, Filter:[3,3]
557.      => H:  50, Pad:[1,0] PadT:[1,0] => Hc: 25
558. Pool => Wc: 25, Pad:[0,0] => Wo: 25, Filter:[1,1]
559.      => Hc: 25, Pad:[0,0] => Ho: 25
560. OverlapC: 1
561. OverlapP: 0
562. TileCons: 2
563. UsedIn  : [50 x 50]
564. UsedC   : [25 x 25]
565.       SetBiasKerName: KerParSetBiasB32_SQ8
566.          ConvKerName: KerParConv3x3Stride2_SQ8
567.   DPReductionKerName: KerParReduct_CC_ReLU_SQ8
568. Nb Oper : 5780000
569.  
570. ==== Process Tiling For User Kernel:            S3_Conv2d_32x32x3x3_Relu6 =======================
571. S3_Conv2d_32x32x3x3_Relu6 Partition[0] Size =  93801 (Min:    300, Max: 284425), Fraction:       1.00, Giving:  46736 bytes out of  46736 bytes
572. S3_Conv2d_32x32x3x3_Relu6 Full buffering on Arg: Bias, was using 256 bytes will require 128 bytes buffer
573. S3_Conv2d_32x32x3x3_Relu6 Full buffering on Arg: Scale, was using 64 bytes will require 32 bytes buffer
574. S3_Conv2d_32x32x3x3_Relu6 Full buffering on Arg: ScaleN, was using 64 bytes will require 32 bytes buffer
575. S3_Conv2d_32x32x3x3_Relu6, TiledSpace: Tile0 Iteration Count: 7 Parametric Space: [D1, M0=32] Parametric Space: [D0, M1=8]
576.               In : Ratio: 2.000000, FixDim:     50, VarDim:      9 [    50], Size:   7200, Total:    7200, Move:      89600 (Decl x 1.120000) L2
577. *           Bias : Ratio: 0.000000,                                          Size:    128, Total:    7328, Move:        128 (Decl x 1.000000) L2
578. *          Scale : Ratio: 0.000000,                                          Size:     32, Total:    7360, Move:         32 (Decl x 1.000000) L2
579. *         ScaleN : Ratio: 0.000000,                                          Size:     32, Total:    7392, Move:         32 (Decl x 1.000000) L2
580. @         Filter : Ratio: 0.000000,                                          Size:   9216, Total:   16608, Move:       9216 (Decl x 1.000000) L2
581.              Out : Ratio: 1.000000, FixDim:     25, VarDim:      4 [    25], Size:   6400, Total:   23008, Move:      20000 (Decl x 1.000000) L2
582. *        ConvOut : Ratio: 1.000000, FixDim:     25, VarDim:      4 [    25], Size:  12800, Total:   35808, Move:          0 (Decl x 0.000000) L2
583. *          Infos : Ratio: 0.000000,                                          Size:     12, Total:   35820, Move:          9 (Decl x 1.000000) L2
584. S3_Conv2d_32x32x3x3_Relu6 - IterSpace: Tile0 - L1 Memory:  35820, L2Move: 119017, L3Move: 0, Tiling Overhead: 1.087738
585. S3_Conv2d_32x32x3x3_Relu6 Partial buffering on Arg: Filter, From: D0 To: D1. Current is (Par) 32 x [W:1, H:1] x 9 => Partial buffer size is 18432 bytes
586. S3_Conv2d_32x32x3x3_Relu6 Found Parametric value for space D1 (Initial: 32, Div: 8) = 32 [32*1 + 0] and space D0 (Initial: 32, Div: 4) = 8 [8*4 + 0], Iteration for Tiled Space: 7
587. S3_Conv2d_32x32x3x3_Relu6 For Iter Space: 0 Iteration count:   7 (Last one is truncated), Given L1 Memory:  46736, Used L1 Memory:  45036, Reusable Memory: 1700, Used L2 Memory: 0
588. =================================================================================================
589.  
590. InFeat: 32, OutFeat: 32
591. Conv => W:  25, Pad:[1,1] PadT:[1,1] => Wc: 25, Filter:[3,3]
592.      => H:  25, Pad:[1,1] PadT:[1,1] => Hc: 25
593. Pool => Wc: 25, Pad:[0,0] => Wo: 25, Filter:[1,1]
594.      => Hc: 25, Pad:[0,0] => Ho: 25
595. OverlapC: 2
596. OverlapP: 0
597. TileCons: 1
598. UsedIn  : [25 x 25]
599. UsedC   : [25 x 25]
600.       SetBiasKerName: KerParSetBiasB32_SQ8
601.          ConvKerName: KerParConv3x3Stride1_SQ8
602.   DPReductionKerName: KerParReduct_CC_ReLU_SQ8
603. Nb Oper : 5780000
604.  
605. ==== Process Tiling For User Kernel:            S4_Conv2d_32x32x3x3_Relu6 =======================
606. S4_Conv2d_32x32x3x3_Relu6 Partition[0] Size =  87401 (Min:    150, Max: 164425), Fraction:       1.00, Giving:  46736 bytes out of  46736 bytes
607. S4_Conv2d_32x32x3x3_Relu6 Full buffering on Arg: Bias, was using 256 bytes will require 128 bytes buffer
608. S4_Conv2d_32x32x3x3_Relu6 Full buffering on Arg: Scale, was using 64 bytes will require 32 bytes buffer
609. S4_Conv2d_32x32x3x3_Relu6 Full buffering on Arg: ScaleN, was using 64 bytes will require 32 bytes buffer
610. S4_Conv2d_32x32x3x3_Relu6, TiledSpace: Tile0 Iteration Count: 5 Parametric Space: [D1, M0=32] Parametric Space: [D0, M1=8]
611.               In : Ratio: 1.000000, FixDim:     25, VarDim:      7 [    25], Size:   2800, Total:    2800, Move:      26400 (Decl x 1.320000) L2
612. *           Bias : Ratio: 0.000000,                                          Size:    128, Total:    2928, Move:        128 (Decl x 1.000000) L2
613. *          Scale : Ratio: 0.000000,                                          Size:     32, Total:    2960, Move:         32 (Decl x 1.000000) L2
614. *         ScaleN : Ratio: 0.000000,                                          Size:     32, Total:    2992, Move:         32 (Decl x 1.000000) L2
615. @         Filter : Ratio: 0.000000,                                          Size:   9216, Total:   12208, Move:       9216 (Decl x 1.000000) L2
616.              Out : Ratio: 1.000000, FixDim:     25, VarDim:      5 [    25], Size:   8000, Total:   20208, Move:      20000 (Decl x 1.000000) L2
617. *        ConvOut : Ratio: 1.000000, FixDim:     25, VarDim:      5 [    25], Size:  16000, Total:   36208, Move:          0 (Decl x 0.000000) L2
618. *          Infos : Ratio: 0.000000,                                          Size:     12, Total:   36220, Move:          9 (Decl x 1.000000) L2
619. S4_Conv2d_32x32x3x3_Relu6 - IterSpace: Tile0 - L1 Memory:  36220, L2Move: 55817, L3Move: 0, Tiling Overhead: 1.129510
620. S4_Conv2d_32x32x3x3_Relu6 Partial buffering on Arg: Filter, From: D0 To: D1. Current is (Par) 32 x [W:1, H:1] x 9 => Partial buffer size is 18432 bytes
621. S4_Conv2d_32x32x3x3_Relu6 Found Parametric value for space D1 (Initial: 32, Div: 8) = 32 [32*1 + 0] and space D0 (Initial: 32, Div: 4) = 8 [8*4 + 0], Iteration for Tiled Space: 5
622. S4_Conv2d_32x32x3x3_Relu6 For Iter Space: 0 Iteration count:   5, Given L1 Memory:  46736, Used L1 Memory:  45436, Reusable Memory: 1300, Used L2 Memory: 0
623. =================================================================================================
624.  
625. InFeat: 32, OutFeat: 32
626. Conv => W:  50, Pad:[0,0] PadT:[0,0] => Wc: 25, Filter:[1,1]
627.      => H:  50, Pad:[0,0] PadT:[0,0] => Hc: 25
628. Pool => Wc: 25, Pad:[0,0] => Wo: 25, Filter:[1,1]
629.      => Hc: 25, Pad:[0,0] => Ho: 25
630. OverlapC: -1
631. OverlapP: 0
632. TileCons: 2
633. UsedIn  : [49 x 49]
634. UsedC   : [25 x 25]
635.       SetBiasKerName: KerParSetBiasB32_SQ8
636.          ConvKerName: KerParConv1x1Stride2_SQ8
637.   DPReductionKerName: KerParReduct_CC_ReLU_SQ8
638. Nb Oper : 660000
639. Mapping this convolution to matrix multiplication with small first operand
640. CNN_MatMulSmallM1_SQ8: S5_Conv2d_32x32x1x1_Relu6
641. In1  => W:   32, H:   32
642. In2  => W: 2500, H:   32, w:   50, h:   50, Sx: 2, Sy: 2, TileCons: 100
643. Out  => W:  625, H:   32
644.        MatMulKerName: KerParMatMulB32_ReLU_SF_SQ8
645.      MatTransKerName: CNN_TransposeSxSy_fps
646. Act: ReLU
647. Nb Oper : 640000
648.  
649. ==== Process Tiling For User Kernel:            S5_Conv2d_32x32x1x1_Relu6 =======================
650. S5_Conv2d_32x32x1x1_Relu6 Partition[0] Size =  34057 (Min:   6400, Max: 221481), Fraction:       1.00, Giving:  46736 bytes out of  46736 bytes
651. S5_Conv2d_32x32x1x1_Relu6, TiledSpace: Tile0 Iteration Count: 5
652. *            In1 : Ratio: 0.000000,                                          Size:   1024, Total:    1024, Move:       1024 (Decl x 1.000000) L2
653.              In2 : Ratio: 4.000000, FixDim:     32, VarDim:    500 [  2500], Size:  32000, Total:   33024, Move:      80000 (Decl x 1.000000) L2
654. *       TransIn2 : Ratio: 1.000000, FixDim:     32, VarDim:    125 [   625], Size:   4000, Total:   37024, Move:          0 (Decl x 0.000000) L2
655. *           Bias : Ratio: 0.000000,                                          Size:    128, Total:   37152, Move:        128 (Decl x 1.000000) L2
656.              Out : Ratio: 1.000000, FixDim:     32, VarDim:    125 [   625], Size:   8000, Total:   45152, Move:      20000 (Decl x 1.000000) L2
657. *          Scale : Ratio: 0.000000,                                          Size:     32, Total:   45184, Move:         32 (Decl x 1.000000) L2
658. *         ScaleN : Ratio: 0.000000,                                          Size:     32, Total:   45216, Move:         32 (Decl x 1.000000) L2
659. *          Infos : Ratio: 0.000000,                                          Size:     12, Total:   45228, Move:          9 (Decl x 1.000000) L2
660. S5_Conv2d_32x32x1x1_Relu6 - IterSpace: Tile0 - L1 Memory:  45228, L2Move: 101225, L3Move: 0, Tiling Overhead: 1.000000
661. S5_Conv2d_32x32x1x1_Relu6 Iteration for Tiled Space: 5
662. S5_Conv2d_32x32x1x1_Relu6 For Iter Space: 0 Iteration count:   5, Given L1 Memory:  46736, Used L1 Memory:  45228, Reusable Memory: 1508, Used L2 Memory: 0
663. =================================================================================================
664.  
665.  
666. ==== Process Tiling For User Kernel:                   S6_MatAdd_32x25x25 =======================
667.   S6_MatAdd_32x25x25 Partition[0] Size =   4825 (Min:      0, Max: 120073), Fraction:       1.00, Giving:  46736 bytes out of  46736 bytes
668.   S6_MatAdd_32x25x25, TiledSpace: Tile0 Iteration Count: 3 Parametric Space: [D0, M0=32]
669.              In1 : Ratio: 1.000000, FixDim:     25, VarDim:      9 [    25], Size:  14400, Total:   14400, Move:      20000 (Decl x 1.000000) L2
670.              In2 : Ratio: 1.000000, FixDim:     25, VarDim:      9 [    25], Size:  14400, Total:   28800, Move:      20000 (Decl x 1.000000) L2
671.              Out : Ratio: 1.000000, FixDim:     25, VarDim:      9 [    25], Size:  14400, Total:   43200, Move:      20000 (Decl x 1.000000) L2
672. *          Infos : Ratio: 0.000000,                                          Size:     12, Total:   43212, Move:          9 (Decl x 1.000000) L2
673.   S6_MatAdd_32x25x25 - IterSpace: Tile0 - L1 Memory:  43212, L2Move: 60009, L3Move: 0, Tiling Overhead: 1.000000
674.   S6_MatAdd_32x25x25 Found Parametric value for space D0 (Initial: 32, Div: 8) = 32 [32*1 + 0], Iteration for Tiled Space: 3
675.   S6_MatAdd_32x25x25 For Iter Space: 0 Iteration count:   3 (Last one is truncated), Given L1 Memory:  46736, Used L1 Memory:  43212, Reusable Memory: 3524, Used L2 Memory: 0
676. =================================================================================================
677.  
678. InFeat: 32, OutFeat: 64
679. Conv => W:  25, Pad:[1,1] PadT:[1,1] => Wc: 13, Filter:[3,3]
680.      => H:  25, Pad:[1,1] PadT:[1,1] => Hc: 13
681. Pool => Wc: 13, Pad:[0,0] => Wo: 13, Filter:[1,1]
682.      => Hc: 13, Pad:[0,0] => Ho: 13
683. OverlapC: 1
684. OverlapP: 0
685. TileCons: 2
686. UsedIn  : [25 x 25]
687. UsedC   : [13 x 13]
688.       SetBiasKerName: KerParSetBiasB32_SQ8
689.          ConvKerName: KerParConv3x3Stride2_SQ8
690.   DPReductionKerName: KerParReduct_CC_ReLU_SQ8
691. Nb Oper : 3125824
692.  
693. ==== Process Tiling For User Kernel:            S7_Conv2d_64x32x3x3_Relu6 =======================
694. S7_Conv2d_64x32x3x3_Relu6 Partition[0] Size =  53353 (Min:    150, Max: 110281), Fraction:       1.00, Giving:  46736 bytes out of  46736 bytes
695. S7_Conv2d_64x32x3x3_Relu6 Full buffering on Arg: Bias, was using 512 bytes will require 256 bytes buffer
696. S7_Conv2d_64x32x3x3_Relu6 Full buffering on Arg: Scale, was using 128 bytes will require 64 bytes buffer
697. S7_Conv2d_64x32x3x3_Relu6 Full buffering on Arg: ScaleN, was using 128 bytes will require 64 bytes buffer
698. S7_Conv2d_64x32x3x3_Relu6, TiledSpace: Tile0 Iteration Count: 13 Parametric Space: [D1, M0=64] Parametric Space: [D0, M1=24]
699.               In : Ratio: 2.000000, FixDim:     25, VarDim:      3 [    25], Size:   3600, Total:    3600, Move:      29600 (Decl x 1.480000) L2
700. *           Bias : Ratio: 0.000000,                                          Size:    256, Total:    3856, Move:        256 (Decl x 1.000000) L2
701. *          Scale : Ratio: 0.000000,                                          Size:     64, Total:    3920, Move:         64 (Decl x 1.000000) L2
702. *         ScaleN : Ratio: 0.000000,                                          Size:     64, Total:    3984, Move:         64 (Decl x 1.000000) L2
703. @         Filter : Ratio: 0.000000,                                          Size:  18432, Total:   22416, Move:      18432 (Decl x 1.000000) L2
704.              Out : Ratio: 1.000000, FixDim:     13, VarDim:      1 [    13], Size:   1664, Total:   24080, Move:      10816 (Decl x 1.000000) L2
705. *        ConvOut : Ratio: 1.000000, FixDim:     13, VarDim:      1 [    13], Size:   3328, Total:   27408, Move:          0 (Decl x 0.000000) L2
706. *          Infos : Ratio: 0.000000,                                          Size:     12, Total:   27420, Move:          9 (Decl x 1.000000) L2
707. S7_Conv2d_64x32x3x3_Relu6 - IterSpace: Tile0 - L1 Memory:  27420, L2Move: 59241, L3Move: 0, Tiling Overhead: 1.193389
708. S7_Conv2d_64x32x3x3_Relu6 Partial buffering on Arg: Filter, From: D0 To: D1. Current is (Par) 32 x [W:1, H:1] x 9 => Partial buffer size is 36864 bytes
709. S7_Conv2d_64x32x3x3_Relu6 Found Parametric value for space D1 (Initial: 64, Div: 8) = 64 [64*1 + 0] and space D0 (Initial: 32, Div: 4) = 24 [24*1 + 8], Iteration for Tiled Space: 13
710. S7_Conv2d_64x32x3x3_Relu6 For Iter Space: 0 Iteration count:  13, Given L1 Memory:  46736, Used L1 Memory:  45852, Reusable Memory: 884, Used L2 Memory: 0
711. =================================================================================================
712.  
713. InFeat: 64, OutFeat: 64
714. Conv => W:  13, Pad:[1,1] PadT:[1,1] => Wc: 13, Filter:[3,3]
715.      => H:  13, Pad:[1,1] PadT:[1,1] => Hc: 13
716. Pool => Wc: 13, Pad:[0,0] => Wo: 13, Filter:[1,1]
717.      => Hc: 13, Pad:[0,0] => Ho: 13
718. OverlapC: 2
719. OverlapP: 0
720. TileCons: 1
721. UsedIn  : [13 x 13]
722. UsedC   : [13 x 13]
723.       SetBiasKerName: KerParSetBiasB32_SQ8
724.          ConvKerName: KerParConv3x3Stride1_SQ8
725.   DPReductionKerName: KerParReduct_CC_ReLU_SQ8
726. Nb Oper : 6240832
727.  
728. ==== Process Tiling For User Kernel:            S8_Conv2d_64x64x3x3_Relu6 =======================
729. S8_Conv2d_64x64x3x3_Relu6 Partition[0] Size =  51881 (Min:     78, Max:  92041), Fraction:       1.00, Giving:  46736 bytes out of  46736 bytes
730. S8_Conv2d_64x64x3x3_Relu6 Full buffering on Arg: Bias, was using 320 bytes will require 256 bytes buffer
731. S8_Conv2d_64x64x3x3_Relu6 Full buffering on Arg: Scale, was using 80 bytes will require 64 bytes buffer
732. S8_Conv2d_64x64x3x3_Relu6 Full buffering on Arg: ScaleN, was using 80 bytes will require 64 bytes buffer
733. S8_Conv2d_64x64x3x3_Relu6, TiledSpace: Tile0 Iteration Count: 1 Parametric Space: [D1, M0=40] Parametric Space: [D0, M1=4]
734.               In : Ratio: 1.000000, FixDim:     13, VarDim:     13 [    13], Size:   1352, Total:    1352, Move:      21632 (Decl x 2.000000) L2
735. *           Bias : Ratio: 0.000000,                                          Size:    256, Total:    1608, Move:        256 (Decl x 1.000000) L2
736. *          Scale : Ratio: 0.000000,                                          Size:     64, Total:    1672, Move:         64 (Decl x 1.000000) L2
737. *         ScaleN : Ratio: 0.000000,                                          Size:     64, Total:    1736, Move:         64 (Decl x 1.000000) L2
738.           Filter : Ratio: 0.000000,                                          Size:   2880, Total:    4616, Move:      36864 (Decl x 1.000000) L2
739.              Out : Ratio: 1.000000, FixDim:     13, VarDim:     13 [    13], Size:  13520, Total:   18136, Move:      10816 (Decl x 1.000000) L2
740. *        ConvOut : Ratio: 1.000000, FixDim:     13, VarDim:     13 [    13], Size:  27040, Total:   45176, Move:          0 (Decl x 0.000000) L2
741. *          Infos : Ratio: 0.000000,                                          Size:     12, Total:   45188, Move:          9 (Decl x 1.000000) L2
742. S8_Conv2d_64x64x3x3_Relu6 - IterSpace: Tile0 - L1 Memory:  45188, L2Move: 69705, L3Move: 0, Tiling Overhead: 1.183668
743. S8_Conv2d_64x64x3x3_Relu6 Found Parametric value for space D1 (Initial: 64, Div: 8) = 40 [40*1 + 24] and space D0 (Initial: 64, Div: 4) = 4 [4*16 + 0], Iteration for Tiled Space: 1
744. S8_Conv2d_64x64x3x3_Relu6 For Iter Space: 0 Iteration count:   1, Given L1 Memory:  46736, Used L1 Memory:  45188, Reusable Memory: 1548, Used L2 Memory: 0
745. =================================================================================================
746.  
747. InFeat: 32, OutFeat: 64
748. Conv => W:  25, Pad:[0,0] PadT:[0,0] => Wc: 13, Filter:[1,1]
749.      => H:  25, Pad:[0,0] PadT:[0,0] => Hc: 13
750. Pool => Wc: 13, Pad:[0,0] => Wo: 13, Filter:[1,1]
751.      => Hc: 13, Pad:[0,0] => Ho: 13
752. OverlapC: -1
753. OverlapP: 0
754. TileCons: 2
755. UsedIn  : [25 x 25]
756. UsedC   : [13 x 13]
757.       SetBiasKerName: KerParSetBiasB32_SQ8
758.          ConvKerName: KerParConv1x1Stride2_SQ8
759.   DPReductionKerName: KerParReduct_CC_ReLU_SQ8
760. Nb Oper : 356928
761. Mapping this convolution to matrix multiplication with small first operand
762. CNN_MatMulSmallM1_SQ8: S9_Conv2d_64x32x1x1_Relu6
763. In1  => W:   32, H:   64
764. In2  => W:  625, H:   32, w:   25, h:   25, Sx: 2, Sy: 2, TileCons: 50
765. Out  => W:  169, H:   64
766.        MatMulKerName: KerParMatMulB32_ReLU_SF_SQ8
767.      MatTransKerName: CNN_TransposeSxSy_fps
768. Act: ReLU
769. Nb Oper : 346112
770.  
771. ==== Process Tiling For User Kernel:            S9_Conv2d_64x32x1x1_Relu6 =======================
772. S9_Conv2d_64x32x1x1_Relu6 Partition[0] Size =  17481 (Min:   3200, Max:  69737), Fraction:       1.00, Giving:  46736 bytes out of  46736 bytes
773. Kernel: S9_Conv2d_64x32x1x1_Relu6, Total Raw Memory: 38668 fits into L1 memory 46736. Promoting all kernel arguments to initialized buffers.
774. S9_Conv2d_64x32x1x1_Relu6 For Iter Space: 0 Iteration count:   1, Given L1 Memory:  46736, Used L1 Memory:  38668, Reusable Memory: 8068, Used L2 Memory: 0
775. =================================================================================================
776.  
777.  
778. ==== Process Tiling For User Kernel:                  S10_MatAdd_64x13x13 =======================
779.  S10_MatAdd_64x13x13 Partition[0] Size =   5017 (Min:      0, Max:  64969), Fraction:       1.00, Giving:  46736 bytes out of  46736 bytes
780. Kernel:  S10_MatAdd_64x13x13, Total Raw Memory: 32460 fits into L1 memory 46736. Promoting all kernel arguments to initialized buffers.
781.  S10_MatAdd_64x13x13 For Iter Space: 0 Iteration count:   1, Given L1 Memory:  46736, Used L1 Memory:  32460, Reusable Memory: 14276, Used L2 Memory: 0
782. =================================================================================================
783.  
784. InFeat: 64, OutFeat: 128
785. Conv => W:  13, Pad:[1,1] PadT:[1,1] => Wc: 7, Filter:[3,3]
786.      => H:  13, Pad:[1,1] PadT:[1,1] => Hc: 7
787. Pool => Wc: 7, Pad:[0,0] => Wo: 7, Filter:[1,1]
788.      => Hc: 7, Pad:[0,0] => Ho: 7
789. OverlapC: 1
790. OverlapP: 0
791. TileCons: 2
792. UsedIn  : [13 x 13]
793. UsedC   : [7 x 7]
794.       SetBiasKerName: KerParSetBiasB32_SQ8
795.          ConvKerName: KerParConv3x3Stride2_SQ8
796.   DPReductionKerName: KerParReduct_CC_ReLU_SQ8
797. Nb Oper : 3618944
798.  
799. ==== Process Tiling For User Kernel:          S11_Conv2d_128x64x3x3_Relu6 =======================
800. S11_Conv2d_128x64x3x3_Relu6 Partition[0] Size =  37545 (Min:     78, Max:  66697), Fraction:       1.00, Giving:  46736 bytes out of  46736 bytes
801. S11_Conv2d_128x64x3x3_Relu6 Full buffering on Arg: Bias, was using 896 bytes will require 512 bytes buffer
802. S11_Conv2d_128x64x3x3_Relu6 Full buffering on Arg: Scale, was using 224 bytes will require 128 bytes buffer
803. S11_Conv2d_128x64x3x3_Relu6 Full buffering on Arg: ScaleN, was using 224 bytes will require 128 bytes buffer
804. S11_Conv2d_128x64x3x3_Relu6, TiledSpace: Tile0 Iteration Count: 1 Parametric Space: [D1, M0=112] Parametric Space: [D0, M1=4]
805.               In : Ratio: 2.000000, FixDim:     13, VarDim:     13 [    13], Size:   1352, Total:    1352, Move:      21632 (Decl x 2.000000) L2
806. *           Bias : Ratio: 0.000000,                                          Size:    512, Total:    1864, Move:        512 (Decl x 1.000000) L2
807. *          Scale : Ratio: 0.000000,                                          Size:    128, Total:    1992, Move:        128 (Decl x 1.000000) L2
808. *         ScaleN : Ratio: 0.000000,                                          Size:    128, Total:    2120, Move:        128 (Decl x 1.000000) L2
809.           Filter : Ratio: 0.000000,                                          Size:   8064, Total:   10184, Move:      73728 (Decl x 1.000000) L2
810.              Out : Ratio: 1.000000, FixDim:      7, VarDim:      7 [     7], Size:  10976, Total:   21160, Move:       6272 (Decl x 1.000000) L2
811. *        ConvOut : Ratio: 1.000000, FixDim:      7, VarDim:      7 [     7], Size:  21952, Total:   43112, Move:          0 (Decl x 0.000000) L2
812. *          Infos : Ratio: 0.000000,                                          Size:     12, Total:   43124, Move:          9 (Decl x 1.000000) L2
813. S11_Conv2d_128x64x3x3_Relu6 - IterSpace: Tile0 - L1 Memory:  43124, L2Move: 102409, L3Move: 0, Tiling Overhead: 1.118088
814. S11_Conv2d_128x64x3x3_Relu6 Found Parametric value for space D1 (Initial: 128, Div: 8) = 112 [112*1 + 16] and space D0 (Initial: 64, Div: 4) = 4 [4*16 + 0], Iteration for Tiled Space: 1
815. S11_Conv2d_128x64x3x3_Relu6 For Iter Space: 0 Iteration count:   1, Given L1 Memory:  46736, Used L1 Memory:  43124, Reusable Memory: 3612, Used L2 Memory: 0
816. =================================================================================================
817.  
818. InFeat: 128, OutFeat: 128
819. Conv => W:  7, Pad:[1,1] PadT:[1,1] => Wc: 7, Filter:[3,3]
820.      => H:  7, Pad:[1,1] PadT:[1,1] => Hc: 7
821. Pool => Wc: 7, Pad:[0,0] => Wo: 7, Filter:[1,1]
822.      => Hc: 7, Pad:[0,0] => Ho: 7
823. OverlapC: 2
824. OverlapP: 0
825. TileCons: 1
826. UsedIn  : [7 x 7]
827. UsedC   : [7 x 7]
828.       SetBiasKerName: KerParSetBiasB32_SQ8
829.          ConvKerName: KerParConv3x3Stride1_SQ8
830.   DPReductionKerName: KerParReduct_CC_ReLU_SQ8
831. Nb Oper : 7231616
832.  
833. ==== Process Tiling For User Kernel:         S12_Conv2d_128x128x3x3_Relu6 =======================
834. S12_Conv2d_128x128x3x3_Relu6 Partition[0] Size =  36137 (Min:     42, Max:  57865), Fraction:       1.00, Giving:  46736 bytes out of  46736 bytes
835. S12_Conv2d_128x128x3x3_Relu6 Full buffering on Arg: Bias, was using 960 bytes will require 512 bytes buffer
836. S12_Conv2d_128x128x3x3_Relu6 Full buffering on Arg: Scale, was using 240 bytes will require 128 bytes buffer
837. S12_Conv2d_128x128x3x3_Relu6 Full buffering on Arg: ScaleN, was using 240 bytes will require 128 bytes buffer
838. S12_Conv2d_128x128x3x3_Relu6, TiledSpace: Tile0 Iteration Count: 1 Parametric Space: [D1, M0=120] Parametric Space: [D0, M1=4]
839.               In : Ratio: 1.000000, FixDim:      7, VarDim:      7 [     7], Size:    392, Total:     392, Move:      12544 (Decl x 2.000000) L2
840. *           Bias : Ratio: 0.000000,                                          Size:    512, Total:     904, Move:        512 (Decl x 1.000000) L2
841. *          Scale : Ratio: 0.000000,                                          Size:    128, Total:    1032, Move:        128 (Decl x 1.000000) L2
842. *         ScaleN : Ratio: 0.000000,                                          Size:    128, Total:    1160, Move:        128 (Decl x 1.000000) L2
843.           Filter : Ratio: 0.000000,                                          Size:   8640, Total:    9800, Move:     147456 (Decl x 1.000000) L2
844.              Out : Ratio: 1.000000, FixDim:      7, VarDim:      7 [     7], Size:  11760, Total:   21560, Move:       6272 (Decl x 1.000000) L2
845. *        ConvOut : Ratio: 1.000000, FixDim:      7, VarDim:      7 [     7], Size:  23520, Total:   45080, Move:          0 (Decl x 0.000000) L2
846. *          Infos : Ratio: 0.000000,                                          Size:     12, Total:   45092, Move:          9 (Decl x 1.000000) L2
847. S12_Conv2d_128x128x3x3_Relu6 - IterSpace: Tile0 - L1 Memory:  45092, L2Move: 167049, L3Move: 0, Tiling Overhead: 1.039011
848. S12_Conv2d_128x128x3x3_Relu6 Found Parametric value for space D1 (Initial: 128, Div: 8) = 120 [120*1 + 8] and space D0 (Initial: 128, Div: 4) = 4 [4*32 + 0], Iteration for Tiled Space: 1
849. S12_Conv2d_128x128x3x3_Relu6 For Iter Space: 0 Iteration count:   1, Given L1 Memory:  46736, Used L1 Memory:  45092, Reusable Memory: 1644, Used L2 Memory: 0
850. =================================================================================================
851.  
852. InFeat: 64, OutFeat: 128
853. Conv => W:  13, Pad:[0,0] PadT:[0,0] => Wc: 7, Filter:[1,1]
854.      => H:  13, Pad:[0,0] PadT:[0,0] => Hc: 7
855. Pool => Wc: 7, Pad:[0,0] => Wo: 7, Filter:[1,1]
856.      => Hc: 7, Pad:[0,0] => Ho: 7
857. OverlapC: -1
858. OverlapP: 0
859. TileCons: 2
860. UsedIn  : [13 x 13]
861. UsedC   : [7 x 7]
862.       SetBiasKerName: KerParSetBiasB32_SQ8
863.          ConvKerName: KerParConv1x1Stride2_SQ8
864.   DPReductionKerName: KerParReduct_CC_ReLU_SQ8
865. Nb Oper : 407680
866. Mapping this convolution to matrix multiplication
867. CNN_MatMul_SQ8: S13_Conv2d_128x64x1x1_Relu6
868. In1  => W:   64, H:  128
869. In2  => W:  169, H:   64, w:   13, h:   13, Sx: 2, Sy: 2
870. Out  => W:   49, H:  128 => Column first
871.        MatMulKerName: KerParMatMulSxSyB32_ReLU_SQ8
872.  
873. ==== Process Tiling For User Kernel:          S13_Conv2d_128x64x1x1_Relu6 =======================
874. S13_Conv2d_128x64x1x1_Relu6 Partition[0] Size =   1824 (Min:   1024, Max:  17280), Fraction:       0.15, Giving:  12358 bytes out of  46736 bytes
875. S13_Conv2d_128x64x1x1_Relu6 Partition[1] Size =  10089 (Min:   3328, Max:  34377), Fraction:       0.85, Giving:  34377 bytes out of  46736 bytes
876. Kernel: S13_Conv2d_128x64x1x1_Relu6, Total Raw Memory: 17164 fits into L1 memory 34377. Promoting all kernel arguments to initialized buffers.
877. S13_Conv2d_128x64x1x1_Relu6 For Iter Space: 1 Iteration count:   1, Given L1 Memory:  34377, Used L1 Memory:  17164, Reusable Memory: 17212, Used L2 Memory: 0
878. Kernel: S13_Conv2d_128x64x1x1_Relu6, Total Raw Memory: 8960 fits into L1 memory 12358. Promoting all kernel arguments to initialized buffers.
879. S13_Conv2d_128x64x1x1_Relu6 For Iter Space: 0 Iteration count:   1, Given L1 Memory:  12358, Used L1 Memory:   8960, Reusable Memory: 3396, Used L2 Memory: 0
880. =================================================================================================
881.  
882.  
883. ==== Process Tiling For User Kernel:             S14_MatAdd_128x7x7_Relu6 =======================
884. S14_MatAdd_128x7x7_Relu6 Partition[0] Size =   5401 (Min:      0, Max:  37705), Fraction:       1.00, Giving:  46736 bytes out of  46736 bytes
885. Kernel: S14_MatAdd_128x7x7_Relu6, Total Raw Memory: 18828 fits into L1 memory 46736. Promoting all kernel arguments to initialized buffers.
886. S14_MatAdd_128x7x7_Relu6 For Iter Space: 0 Iteration count:   1, Given L1 Memory:  46736, Used L1 Memory:  18828, Reusable Memory: 27908, Used L2 Memory: 0
887. =================================================================================================
888.  
889. Linear Layer S16_Linear_2x6272, Linear: InDim: 6272, OutDim: 2, Activation: None
890. Linear Kernel: KerParLinearLayerFullFeatB32_SQ8
891.  
892. ==== Process Tiling For User Kernel:                    S16_Linear_2x6272 =======================
893.    S16_Linear_2x6272 Partition[0] Size =  31425 (Min:      0, Max:  31593), Fraction:       1.00, Giving:  46736 bytes out of  46736 bytes
894. Kernel:    S16_Linear_2x6272, Total Raw Memory: 18848 fits into L1 memory 46736. Promoting all kernel arguments to initialized buffers.
895.    S16_Linear_2x6272 For Iter Space: 0 Iteration count:   1, Given L1 Memory:  46736, Used L1 Memory:  18848, Reusable Memory: 27888, Used L2 Memory: 0
896. =================================================================================================
897.  
898. Act  => W: 1, Wo: 1
899.      => H: 1, Ho: 1
900.           ActKerName: KerPar_HSigmoid_SQ8
901. Nb Oper : 1
902.  
903. ==== Process Tiling For User Kernel:                     S19_Act_Hsigmoid =======================
904.     S19_Act_Hsigmoid Partition[0] Size =     25 (Min:      0, Max:     49), Fraction:       1.00, Giving:  46736 bytes out of  46736 bytes
905. Kernel:     S19_Act_Hsigmoid, Total Raw Memory: 20 fits into L1 memory 46736. Promoting all kernel arguments to initialized buffers.
906.     S19_Act_Hsigmoid For Iter Space: 0 Iteration count:   1, Given L1 Memory:  46736, Used L1 Memory:     20, Reusable Memory: 46716, Used L2 Memory: 0
907. =================================================================================================
908.  
909. Error: Graph stacked tensor S16_Output, input tensor Output_1 is also defined as a graph local or graph argument
910. Execution aborted
911. riscv32-unknown-elf-gcc -g -O3 -w -mno-memcpy -fno-tree-loop-distribute-patterns -I. -I/gap_sdk/libs/gap_lib/include -I/gap_sdk/tools/autotiler_v3/Emulation -I/gap_sdk/tools/autotiler_v3/Autotiler -I/gap_sdk/tools/autotiler_v3/CNN_Libraries -I/gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8 -I/gap_sdk/tools/nntool//autotiler/kernels -IBUILD_MODEL_SQ8BIT -DAT_MODEL_PREFIX=network -DAT_INPUT_HEIGHT=200 -DAT_INPUT_WIDTH=200 -DAT_INPUT_COLORS=1 -DSTACK_SIZE=6096 -DSLAVE_STACK_SIZE=1024 -DAT_IMAGE=/module/data/images/frame_2.pgm -DPERF -DMODEL_ID= -DFREQ_FC=250 -DFREQ_CL=175 -DAT_CONSTRUCT=networkCNN_Construct -DAT_DESTRUCT=networkCNN_Destruct -DAT_CNN=networkCNN -DAT_L3_ADDR=network_L3_Flash -g -O3 -w -mno-memcpy -fno-tree-loop-distribute-patterns -I. -I/gap_sdk/libs/gap_lib/include -I/gap_sdk/tools/autotiler_v3/Emulation -I/gap_sdk/tools/autotiler_v3/Autotiler -I/gap_sdk/tools/autotiler_v3/CNN_Libraries -I/gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8 -I/gap_sdk/tools/nntool//autotiler/kernels -IBUILD_MODEL_SQ8BIT -DAT_MODEL_PREFIX=network -DAT_INPUT_HEIGHT=200 -DAT_INPUT_WIDTH=200 -DAT_INPUT_COLORS=1 -DSTACK_SIZE=6096 -DSLAVE_STACK_SIZE=1024 -DAT_IMAGE=/module/data/images/frame_2.pgm -DPERF -DMODEL_ID= -DFREQ_FC=250 -DFREQ_CL=175 -DAT_CONSTRUCT=networkCNN_Construct -DAT_DESTRUCT=networkCNN_Destruct -DAT_CNN=networkCNN -DAT_L3_ADDR=network_L3_Flash -DCONFIG_AI_DECK -DCONFIG_AI_DECK -DRT_FC_STACK_SIZE=2048 -D__PLATFORM_GVSOC__ -fno-jump-tables -fno-tree-loop-distribute-patterns -fdata-sections -ffunction-sections -mchip=gap8 -mPE=8 -mFC=1 -D__riscv__ -D__GAP__ -D__GAP8__ -DCHIP_VERSION=2 -mnativeomp -mnativeomp -D__pulp__ -DCONFIG_GAP -D__PULP_OS__ -D__pulp__ -DCONFIG_GAP -D__PULP_OS__ -MMD -MP -c main.c  -I/gap_sdk/install/GAP8_V2/include  -I/gap_sdk/install/GAP8_V2/include/io  -I/gap_sdk/install/workstation/include  -I/gap_sdk/tools/autotiler_v3/Emulation  -I/gap_sdk/tools/autotiler_v3/Emulation  -I/gap_sdk/tools/autotiler_v3/Emulation  -I/gap_sdk/tools/autotiler_v3/Emulation  -include /gap_sdk/install/GAP8_V2/include/rt/chips/gap_rev1/config.h -MD -MF /module/data/BUILD/GAP8_V2/GCC_RISCV/main.d -o /module/data/BUILD/GAP8_V2/GCC_RISCV/main.o
912. main.c:39:10: fatal error: networkKernels.h: No such file or directory
913.  #include "networkKernels.h"
914.           ^~~~~~~~~~~~~~~~~~
915. compilation terminated.
916. /gap_sdk/tools/rules/pulp_rules.mk:204: recipe for target '/module/data/BUILD/GAP8_V2/GCC_RISCV/main.o' failed
917. make: *** [/module/data/BUILD/GAP8_V2/GCC_RISCV/main.o] Error 1
918. ​​​
919. Shift + Enter 换行
920.