scriptDir:  /tmp/bitcraze/aideck-gap8-examples/tools/build
example_path:  examples/ai/classification/
make_args:  clean model build image
full_path:  /tmp/bitcraze/aideck-gap8-examples/tools/build/../../examples/ai/classification/
Requirement already satisfied: numpy==1.22.3 in /home/user/.local/lib/python3.8/site-packages (1.22.3)
Building GAP8 mode with 8 bit quantization
script model/nntool_script
GEN ... /gap_sdk/tools/autotiler_v3/CNN_Generators/CNN_Generator_Util.c /gap_sdk/tools/autotiler_v3/CNN_Generators/CNN_Copy_Generators.c /gap_sdk/tools/autotiler_v3/CNN_Generators/SSD_Generators.c /gap_sdk/tools/autotiler_v3/Generators/BilinearResizes/ResizeGenerator.c  /gap_sdk/tools/autotiler_v3/DSP_Generators/DSP_Generators.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
APP_SRCS... classification.c ../../../lib/cpx/src/com.c ../../../lib/cpx/src/cpx.c BUILD_MODEL_SQ8BIT/classificationKernels.c /gap_sdk/libs/gap_lib/img_io/ImgIO.c /gap_sdk/tools/autotiler_v3/CNN_Libraries/SSD_BasicKernels.c /gap_sdk/tools/autotiler_v3/Generators/BilinearResizes/ResizeBasicKernels.c /gap_sdk/tools/autotiler_v3/CNN_Libraries/CNN_Copy.c /gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_AT_Misc.c /gap_sdk/tools/autotiler_v3/DSP_Libraries/CmplxFunctions.c /gap_sdk/tools/autotiler_v3/DSP_Libraries/MatMulDSP.c /gap_sdk/tools/autotiler_v3/DSP_Libraries/FFT_Library.c /gap_sdk/tools/autotiler_v3/DSP_Libraries/MfccBasicKernels.c /gap_sdk/tools/autotiler_v3/DSP_Libraries/PreProcessing.c /gap_sdk/tools/autotiler_v3/DSP_Libraries/math_funcs.c  /gap_sdk/tools/autotiler_v3/DSP_Libraries/pulp_dsp/plp_cos_f32s_xpulpv2.c /gap_sdk/tools/autotiler_v3/DSP_Libraries/pulp_dsp/plp_sin_f32s_xpulpv2.c  /gap_sdk/tools/autotiler_v3/DSP_Libraries/pulp_dsp/plp_common_tables.c /gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_Activation_SQ8.c /gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8/CNN_Activation_HWC_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_MatMul_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_Conv_DW_Red_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/RNN_SQ8.c 
APP_CFLAGS... -DMODEL_QUANTIZED -g -Os -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/Generators/BilinearResizes -I/gap_sdk/tools/autotiler_v3/CNN_Libraries -I/gap_sdk/tools/autotiler_v3/DSP_Libraries -I/gap_sdk/tools/autotiler_v3/CNN_Libraries_fp16 -I/gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8 -I/tmp/bitcraze/aideck-gap8-examples/examples/ai/classification/BUILD_MODEL_SQ8BIT -DPERF -DAT_MODEL_PREFIX=classification -DAT_INPUT_HEIGHT= -DAT_INPUT_WIDTH= -DAT_INPUT_COLORS= -DSTACK_SIZE=6096 -DSLAVE_STACK_SIZE=1024 -DconfigUSE_TIMERS=1 -DINCLUDE_xTimerPendFunctionCall=1 -DFS_PARTITIONTABLE_OFFSET=0x40000 -DFREQ_FC=200 -DFREQ_CL=170 -DTXQ_SIZE=5 -DRXQ_SIZE=5 
rm -f -rf BUILD_MODEL_SQ8BIT
rm -f /tmp/bitcraze/aideck-gap8-examples/examples/ai/classification/BUILD/GAP8_V2/GCC_RISCV_FREERTOS/flash.img
mkdir BUILD_MODEL_SQ8BIT
cp model/classification_q.tflite BUILD_MODEL_SQ8BIT/classification.tflite
echo "GENERATING NNTOOL STATE FILE"
GENERATING NNTOOL STATE FILE
nntool -s model/nntool_script BUILD_MODEL_SQ8BIT/classification.tflite -q
/usr/local/lib/python3.8/dist-packages/sklearn/utils/multiclass.py:13: DeprecationWarning: Please use `spmatrix` from the `scipy.sparse` namespace, the `scipy.sparse.base` namespace is deprecated.
  from scipy.sparse.base import spmatrix
/usr/local/lib/python3.8/dist-packages/sklearn/linear_model/least_angle.py:30: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
  method='lar', copy_X=True, eps=np.finfo(np.float).eps,
/usr/local/lib/python3.8/dist-packages/sklearn/linear_model/least_angle.py:167: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
  method='lar', copy_X=True, eps=np.finfo(np.float).eps,
/usr/local/lib/python3.8/dist-packages/sklearn/linear_model/least_angle.py:284: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
  eps=np.finfo(np.float).eps, copy_Gram=True, verbose=0,
/usr/local/lib/python3.8/dist-packages/sklearn/linear_model/least_angle.py:862: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
  eps=np.finfo(np.float).eps, copy_X=True, fit_path=True,
/usr/local/lib/python3.8/dist-packages/sklearn/linear_model/least_angle.py:1101: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
  eps=np.finfo(np.float).eps, copy_X=True, fit_path=True,
/usr/local/lib/python3.8/dist-packages/sklearn/linear_model/least_angle.py:1127: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
  eps=np.finfo(np.float).eps, positive=False):
/usr/local/lib/python3.8/dist-packages/sklearn/linear_model/least_angle.py:1362: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
  max_n_alphas=1000, n_jobs=None, eps=np.finfo(np.float).eps,
/usr/local/lib/python3.8/dist-packages/sklearn/linear_model/least_angle.py:1602: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
  max_n_alphas=1000, n_jobs=None, eps=np.finfo(np.float).eps,
/usr/local/lib/python3.8/dist-packages/sklearn/linear_model/least_angle.py:1738: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
  eps=np.finfo(np.float).eps, copy_X=True, positive=False):
/usr/local/lib/python3.8/dist-packages/sklearn/utils/optimize.py:18: DeprecationWarning: Please use `line_search_wolfe2` from the `scipy.optimize` namespace, the `scipy.optimize.linesearch` namespace is deprecated.
  from scipy.optimize.linesearch import line_search_wolfe2, line_search_wolfe1
/usr/local/lib/python3.8/dist-packages/sklearn/utils/optimize.py:18: DeprecationWarning: Please use `line_search_wolfe1` from the `scipy.optimize` namespace, the `scipy.optimize.linesearch` namespace is deprecated.
  from scipy.optimize.linesearch import line_search_wolfe2, line_search_wolfe1
/usr/local/lib/python3.8/dist-packages/sklearn/decomposition/online_lda.py:29: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
  EPS = np.finfo(np.float).eps
settings - set log level to INFO
log_level - was: 'INFO'
now: 'INFO'
open - opening graph file BUILD_MODEL_SQ8BIT/classification.tflite load_quantization = True
tflite - Importing TFLITE model version 3
quantize_mixin - removing (de)quantize node QUANTIZE_0_0 with no effect
quantize_mixin - removing (de)quantize node QUANTIZE_0_75 with no effect
nngraph - update graph dimensions
nngraph - update graph dimensions
/gap_sdk/tools/nntool/nntool/quantization/multiplicative/quantizers/filter_mult.py:241: RuntimeWarning: divide by zero encountered in log2
  biases_bits = np.ceil(np.log2(np.abs(biases_q.quantize(biases_node.dqvalue))))
unified_quantization_handler - indicating change of FULLY_CONNECTED_0_73 input from c, out_cin_c, out_c to chw, out_cin_chw, out_c order - rerun adjust command
unified_quantization_handler - indicating change of FULLY_CONNECTED_0_73 output from c to chw order - rerun adjust command
nngraph - update graph dimensions
nngraph - update graph dimensions
nngraph - update graph dimensions
fuse_pad - adding padding from: PAD_0_8 to filter: DEPTHWISE_CONV_2D_0_9 - has 0 reshapes
fuse_pad - adding padding from: PAD_0_16 to filter: DEPTHWISE_CONV_2D_0_17 - has 0 reshapes
fuse_pad - adding padding from: PAD_0_28 to filter: DEPTHWISE_CONV_2D_0_29 - has 0 reshapes
fuse_pad - adding padding from: PAD_0_55 to filter: DEPTHWISE_CONV_2D_0_56 - has 0 reshapes
nngraph - update graph dimensions
debug - was: False
now: True
adjust_order - adding transposes to correct tensor order for AT kernels
global_pool - global pool fusion MEAN_0_72: inserting transpose before operation
eliminate_transposes - found elimination for CONV_2D_0_10_trans_in0 upwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_10_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for CONV_2D_0_10_trans_out0 downwards - 4 eliminated
eliminate_transposes - found elimination for CONV_2D_0_11_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for CONV_2D_0_11_trans_out0 downwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_13_trans_in0 upwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_13_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for CONV_2D_0_15_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for CONV_2D_0_15_trans_out0 downwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_18_trans_in0 upwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_18_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for CONV_2D_0_18_trans_out0 downwards - 6 eliminated
eliminate_transposes - found elimination for CONV_2D_0_19_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for CONV_2D_0_19_trans_out0 downwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_21_trans_in0 upwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_21_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for CONV_2D_0_23_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for CONV_2D_0_23_trans_out0 downwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_25_trans_in0 upwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_25_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for CONV_2D_0_27_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for CONV_2D_0_27_trans_out0 downwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_2_trans_in0 upwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_2_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for CONV_2D_0_2_trans_out0 downwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_30_trans_in0 upwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_30_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for CONV_2D_0_30_trans_out0 downwards - 8 eliminated
eliminate_transposes - found elimination for CONV_2D_0_31_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for CONV_2D_0_31_trans_out0 downwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_33_trans_in0 upwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_33_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for CONV_2D_0_35_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for CONV_2D_0_35_trans_out0 downwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_37_trans_in0 upwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_37_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for CONV_2D_0_39_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for CONV_2D_0_39_trans_out0 downwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_41_trans_in0 upwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_41_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for CONV_2D_0_43_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for CONV_2D_0_43_trans_out0 downwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_45_trans_in0 upwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_45_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for CONV_2D_0_45_trans_out0 downwards - 6 eliminated
eliminate_transposes - found elimination for CONV_2D_0_46_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for CONV_2D_0_46_trans_out0 downwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_48_trans_in0 upwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_48_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for CONV_2D_0_4_trans_in0 upwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_4_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for CONV_2D_0_4_trans_out0 downwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_50_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for CONV_2D_0_50_trans_out0 downwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_52_trans_in0 upwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_52_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for CONV_2D_0_54_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for CONV_2D_0_54_trans_out0 downwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_57_trans_in0 upwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_57_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for CONV_2D_0_57_trans_out0 downwards - 6 eliminated
eliminate_transposes - found elimination for CONV_2D_0_58_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for CONV_2D_0_58_trans_out0 downwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_60_trans_in0 upwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_60_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for CONV_2D_0_62_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for CONV_2D_0_62_trans_out0 downwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_64_trans_in0 upwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_64_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for CONV_2D_0_66_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for CONV_2D_0_66_trans_out0 downwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_68_trans_in0 upwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_68_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for CONV_2D_0_68_trans_out0 downwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_69_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for CONV_2D_0_69_trans_out0 downwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_6_trans_in0 upwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_6_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for CONV_2D_0_6_trans_out0 downwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_71_trans_in0 upwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_71_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for CONV_2D_0_71_trans_out0 downwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_7_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for CONV_2D_0_7_trans_out0 downwards - 2 eliminated
eliminate_transposes - found elimination for DEPTHWISE_CONV_2D_0_12_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for DEPTHWISE_CONV_2D_0_17_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for DEPTHWISE_CONV_2D_0_1_trans_in0 upwards - 1 eliminated
eliminate_transposes - found elimination for DEPTHWISE_CONV_2D_0_1_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for DEPTHWISE_CONV_2D_0_20_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for DEPTHWISE_CONV_2D_0_24_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for DEPTHWISE_CONV_2D_0_29_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for DEPTHWISE_CONV_2D_0_32_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for DEPTHWISE_CONV_2D_0_36_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for DEPTHWISE_CONV_2D_0_40_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for DEPTHWISE_CONV_2D_0_44_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for DEPTHWISE_CONV_2D_0_47_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for DEPTHWISE_CONV_2D_0_51_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for DEPTHWISE_CONV_2D_0_56_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for DEPTHWISE_CONV_2D_0_59_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for DEPTHWISE_CONV_2D_0_5_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for DEPTHWISE_CONV_2D_0_63_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for DEPTHWISE_CONV_2D_0_67_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for DEPTHWISE_CONV_2D_0_70_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for DEPTHWISE_CONV_2D_0_9_trans_in1 upwards - 1 eliminated
eliminate_transposes - eliminate transposes
nngraph - update graph dimensions
nngraph - update graph dimensions
eliminate_transposes - no transposes to eliminate found
nngraph - update graph dimensions
nngraph - update graph dimensions
eliminate_transposes - no further transpose sequences found
nngraph - adjusted order
nngraph - update graph dimensions
remove_noops - removing QUANTIZE_0_0 that does nothing
remove_noops - removing QUANTIZE_0_75 that does nothing
matcher - ++ fusion remove_noops modified graph
fuse_gap_convs - fusing nodes DEPTHWISE_CONV_2D_0_1,DEPTHWISE_CONV_2D_0_1_activation into DEPTHWISE_CONV_2D_0_1_fusion
fuse_gap_convs - fusing nodes CONV_2D_0_4,CONV_2D_0_4_activation into CONV_2D_0_4_fusion
fuse_gap_convs - fusing nodes DEPTHWISE_CONV_2D_0_5,DEPTHWISE_CONV_2D_0_5_activation into DEPTHWISE_CONV_2D_0_5_fusion
fuse_gap_convs - fusing nodes CONV_2D_0_7,CONV_2D_0_7_activation into CONV_2D_0_7_fusion
fuse_gap_convs - fusing nodes DEPTHWISE_CONV_2D_0_9,DEPTHWISE_CONV_2D_0_9_activation into DEPTHWISE_CONV_2D_0_9_fusion
fuse_gap_convs - fusing nodes CONV_2D_0_11,CONV_2D_0_11_activation into CONV_2D_0_11_fusion
fuse_gap_convs - fusing nodes DEPTHWISE_CONV_2D_0_12,DEPTHWISE_CONV_2D_0_12_activation into DEPTHWISE_CONV_2D_0_12_fusion
fuse_gap_convs - fusing nodes CONV_2D_0_15,CONV_2D_0_15_activation into CONV_2D_0_15_fusion
fuse_gap_convs - fusing nodes DEPTHWISE_CONV_2D_0_17,DEPTHWISE_CONV_2D_0_17_activation into DEPTHWISE_CONV_2D_0_17_fusion
fuse_gap_convs - fusing nodes CONV_2D_0_19,CONV_2D_0_19_activation into CONV_2D_0_19_fusion
fuse_gap_convs - fusing nodes DEPTHWISE_CONV_2D_0_20,DEPTHWISE_CONV_2D_0_20_activation into DEPTHWISE_CONV_2D_0_20_fusion
fuse_gap_convs - fusing nodes CONV_2D_0_23,CONV_2D_0_23_activation into CONV_2D_0_23_fusion
fuse_gap_convs - fusing nodes DEPTHWISE_CONV_2D_0_24,DEPTHWISE_CONV_2D_0_24_activation into DEPTHWISE_CONV_2D_0_24_fusion
fuse_gap_convs - fusing nodes CONV_2D_0_27,CONV_2D_0_27_activation into CONV_2D_0_27_fusion
fuse_gap_convs - fusing nodes DEPTHWISE_CONV_2D_0_29,DEPTHWISE_CONV_2D_0_29_activation into DEPTHWISE_CONV_2D_0_29_fusion
fuse_gap_convs - fusing nodes CONV_2D_0_31,CONV_2D_0_31_activation into CONV_2D_0_31_fusion
fuse_gap_convs - fusing nodes DEPTHWISE_CONV_2D_0_32,DEPTHWISE_CONV_2D_0_32_activation into DEPTHWISE_CONV_2D_0_32_fusion
fuse_gap_convs - fusing nodes CONV_2D_0_35,CONV_2D_0_35_activation into CONV_2D_0_35_fusion
fuse_gap_convs - fusing nodes DEPTHWISE_CONV_2D_0_36,DEPTHWISE_CONV_2D_0_36_activation into DEPTHWISE_CONV_2D_0_36_fusion
fuse_gap_convs - fusing nodes CONV_2D_0_39,CONV_2D_0_39_activation into CONV_2D_0_39_fusion
fuse_gap_convs - fusing nodes DEPTHWISE_CONV_2D_0_40,DEPTHWISE_CONV_2D_0_40_activation into DEPTHWISE_CONV_2D_0_40_fusion
fuse_gap_convs - fusing nodes CONV_2D_0_43,CONV_2D_0_43_activation into CONV_2D_0_43_fusion
fuse_gap_convs - fusing nodes DEPTHWISE_CONV_2D_0_44,DEPTHWISE_CONV_2D_0_44_activation into DEPTHWISE_CONV_2D_0_44_fusion
fuse_gap_convs - fusing nodes CONV_2D_0_46,CONV_2D_0_46_activation into CONV_2D_0_46_fusion
fuse_gap_convs - fusing nodes DEPTHWISE_CONV_2D_0_47,DEPTHWISE_CONV_2D_0_47_activation into DEPTHWISE_CONV_2D_0_47_fusion
fuse_gap_convs - fusing nodes CONV_2D_0_50,CONV_2D_0_50_activation into CONV_2D_0_50_fusion
fuse_gap_convs - fusing nodes DEPTHWISE_CONV_2D_0_51,DEPTHWISE_CONV_2D_0_51_activation into DEPTHWISE_CONV_2D_0_51_fusion
fuse_gap_convs - fusing nodes CONV_2D_0_54,CONV_2D_0_54_activation into CONV_2D_0_54_fusion
fuse_gap_convs - fusing nodes DEPTHWISE_CONV_2D_0_56,DEPTHWISE_CONV_2D_0_56_activation into DEPTHWISE_CONV_2D_0_56_fusion
fuse_gap_convs - fusing nodes CONV_2D_0_58,CONV_2D_0_58_activation into CONV_2D_0_58_fusion
fuse_gap_convs - fusing nodes DEPTHWISE_CONV_2D_0_59,DEPTHWISE_CONV_2D_0_59_activation into DEPTHWISE_CONV_2D_0_59_fusion
fuse_gap_convs - fusing nodes CONV_2D_0_62,CONV_2D_0_62_activation into CONV_2D_0_62_fusion
fuse_gap_convs - fusing nodes DEPTHWISE_CONV_2D_0_63,DEPTHWISE_CONV_2D_0_63_activation into DEPTHWISE_CONV_2D_0_63_fusion
fuse_gap_convs - fusing nodes CONV_2D_0_66,CONV_2D_0_66_activation into CONV_2D_0_66_fusion
fuse_gap_convs - fusing nodes DEPTHWISE_CONV_2D_0_67,DEPTHWISE_CONV_2D_0_67_activation into DEPTHWISE_CONV_2D_0_67_fusion
fuse_gap_convs - fusing nodes CONV_2D_0_69,CONV_2D_0_69_activation into CONV_2D_0_69_fusion
fuse_gap_convs - fusing nodes CONV_2D_0_71,CONV_2D_0_71_activation into CONV_2D_0_71_fusion
matcher - ++ fusion fuse_gap_convs modified graph
matcher - ++ fusion scaled_match_group modified graph
/gap_sdk/tools/nntool/nntool/quantization/multiplicative/quantizers/filter_mult.py:241: RuntimeWarning: divide by zero encountered in log2
  biases_bits = np.ceil(np.log2(np.abs(biases_q.quantize(biases_node.dqvalue))))
nngraph - update graph dimensions
adjust_order - adding transposes to correct tensor order for AT kernels
eliminate_transposes - no transposes to eliminate found
nngraph - update graph dimensions
nngraph - update graph dimensions
eliminate_transposes - no further transpose sequences found
nngraph - adjusted order
+------+--------------------------+-------------------------+--------------+-------------+--------+--------+--------+---------+--------------------------+-------------------------+
| Step |        Step name         |        Operation        |  Input Dims  | Output Dims | Inputs | Active | Params |   Ops   |          Params          |          Hints          |
|      |                          |                         |   (cxhxw)    |   (cxhxw)   |        |  size  |  size  |         |                          |                         |
+======+==========================+=========================+==============+=============+========+========+========+=========+==========================+=========================+
|  0   | input_1                  | input                   |  1x324x244   |  1x324x244  |        | 79056  |   0    |         | I 1x324x244              | in: cxhxw out: cxhxw    |
+------+--------------------------+-------------------------+--------------+-------------+--------+--------+--------+---------+--------------------------+-------------------------+
|  3   | DEPTHWISE_CONV_2D_0_1_fu | conv_fusion_conv_active |  1x324x244   |  1x162x122  |  0/0   | 98822  |   0    |  19.76K | F 1x1x1x1 S 2x2 D 1x1 G  | in: cxhxw,out_cxin_cxhx |
|      | sion                     |                         |   1x1x1x1    |             |  1/0   |        |        |         | 1 M 1 P (0, 0)x(0, 0)    | w,out_c out: cxhxw      |
|      |                          |                         |      1       |             |  2/0   |        |        |         | zero, Activation relu    |                         |
+------+--------------------------+-------------------------+--------------+-------------+--------+--------+--------+---------+--------------------------+-------------------------+
|  6   | CONV_2D_0_2              | conv2d                  |  1x162x122   |  3x162x122  |  3/0   | 79062  |   0    |  59.29K | F 3x1x1x1 S 1x1 D 1x1 G  | in: cxhxw,out_cxin_cxhx |
|      |                          |                         |   3x1x1x1    |             |  4/0   |        |        |         | 1 M 1 P (0, 0)x(0, 0)    | w,out_c out: cxhxw      |
|      |                          |                         |      3       |             |  5/0   |        |        |         | zero                     |                         |
+------+--------------------------+-------------------------+--------------+-------------+--------+--------+--------+---------+--------------------------+-------------------------+
|  7   | RESIZE_BILINEAR_0_3      | bilinear                |  3x162x122   |   3x96x96   |  6/0   | 86940  |   0    | 175.10K | Resizer bilinear         | in: cxhxw out: cxhxw    |
+------+--------------------------+-------------------------+--------------+-------------+--------+--------+--------+---------+--------------------------+-------------------------+
|  10  | CONV_2D_0_4_fusion       | conv_fusion_conv_active |   3x96x96    |  16x48x48   |  7/0   | 64960  |   0    | 995.33K | F 16x3x3x3 S 2x2 D 1x1 G | in: cxhxw,out_cxin_cxhx |
|      |                          |                         |   16x3x3x3   |             |  8/0   |        |        |         | 1 M 1 P (0, 1)x(0, 1)    | w,out_c out: cxhxw      |
|      |                          |                         |      16      |             |  9/0   |        |        |         | zero, Activation relu6   |                         |
+------+--------------------------+-------------------------+--------------+-------------+--------+--------+--------+---------+--------------------------+-------------------------+
|  13  | DEPTHWISE_CONV_2D_0_5_fu | conv_fusion_conv_active |   16x48x48   |  16x48x48   |  10/0  | 73888  |   0    | 331.78K | F 16x1x3x3 S 1x1 D 1x1 G | in: cxhxw,out_cxin_cxhx |
|      | sion                     |                         |   16x1x3x3   |             |  11/0  |        |        |         | 16 M 1 P (1, 1)x(1, 1)   | w,out_c out: cxhxw      |
|      |                          |                         |      16      |             |  12/0  |        |        |         | zero, Activation relu6   |                         |
+------+--------------------------+-------------------------+--------------+-------------+--------+--------+--------+---------+--------------------------+-------------------------+
|  16  | CONV_2D_0_6              | conv2d                  |   16x48x48   |   8x48x48   |  13/0  | 55432  |   0    | 294.91K | F 8x16x1x1 S 1x1 D 1x1 G | in: cxhxw,out_cxin_cxhx |
|      |                          |                         |   8x16x1x1   |             |  14/0  |        |        |         | 1 M 1 P (0, 0)x(0, 0)    | w,out_c out: cxhxw      |
|      |                          |                         |      8       |             |  15/0  |        |        |         | zero                     |                         |
+------+--------------------------+-------------------------+--------------+-------------+--------+--------+--------+---------+--------------------------+-------------------------+
|  19  | CONV_2D_0_7_fusion       | conv_fusion_conv_active |   8x48x48    |  48x48x48   |  16/0  | 129456 |   0    | 884.74K | F 48x8x1x1 S 1x1 D 1x1 G | in: cxhxw,out_cxin_cxhx |
|      |                          |                         |   48x8x1x1   |             |  17/0  |        |        |         | 1 M 1 P (0, 0)x(0, 0)    | w,out_c out: cxhxw      |
|      |                          |                         |      48      |             |  18/0  |        |        |         | zero, Activation relu6   |                         |
+------+--------------------------+-------------------------+--------------+-------------+--------+--------+--------+---------+--------------------------+-------------------------+
|  22  | DEPTHWISE_CONV_2D_0_9_fu | conv_fusion_conv_active |   48x48x48   |  48x24x24   |  19/0  | 138720 |   0    | 248.83K | F 48x1x3x3 S 2x2 D 1x1 G | in: cxhxw,out_cxin_cxhx |
|      | sion                     |                         |   48x1x3x3   |             |  20/0  |        |        |         | 48 M 1 P (0, 1)x(0, 1)   | w,out_c out: cxhxw      |
|      |                          |                         |      48      |             |  21/0  |        |        |         | zero, Activation relu6   |                         |
+------+--------------------------+-------------------------+--------------+-------------+--------+--------+--------+---------+--------------------------+-------------------------+
|  25  | CONV_2D_0_10             | conv2d                  |   48x24x24   |   8x24x24   |  22/0  | 32648  |   0    | 221.18K | F 8x48x1x1 S 1x1 D 1x1 G | in: cxhxw,out_cxin_cxhx |
|      |                          |                         |   8x48x1x1   |             |  23/0  |        |        |         | 1 M 1 P (0, 0)x(0, 0)    | w,out_c out: cxhxw      |
|      |                          |                         |      8       |             |  24/0  |        |        |         | zero                     |                         |
+------+--------------------------+-------------------------+--------------+-------------+--------+--------+--------+---------+--------------------------+-------------------------+
|  28  | CONV_2D_0_11_fusion      | conv_fusion_conv_active |   8x24x24    |  48x24x24   |  25/0  | 32688  |   0    | 221.18K | F 48x8x1x1 S 1x1 D 1x1 G | in: cxhxw,out_cxin_cxhx |
|      |                          |                         |   48x8x1x1   |             |  26/0  |        |        |         | 1 M 1 P (0, 0)x(0, 0)    | w,out_c out: cxhxw      |
|      |                          |                         |      48      |             |  27/0  |        |        |         | zero, Activation relu6   |                         |
+------+--------------------------+-------------------------+--------------+-------------+--------+--------+--------+---------+--------------------------+-------------------------+
|  31  | DEPTHWISE_CONV_2D_0_12_f | conv_fusion_conv_active |   48x24x24   |  48x24x24   |  28/0  | 60384  |   0    | 248.83K | F 48x1x3x3 S 1x1 D 1x1 G | in: cxhxw,out_cxin_cxhx |
|      | usion                    |                         |   48x1x3x3   |             |  29/0  |        |        |         | 48 M 1 P (1, 1)x(1, 1)   | w,out_c out: cxhxw      |
|      |                          |                         |      48      |             |  30/0  |        |        |         | zero, Activation relu6   |                         |
+------+--------------------------+-------------------------+--------------+-------------+--------+--------+--------+---------+--------------------------+-------------------------+
|  34  | CONV_2D_0_13             | conv2d                  |   48x24x24   |   8x24x24   |  31/0  | 37256  |   0    | 221.18K | F 8x48x1x1 S 1x1 D 1x1 G | in: cxhxw,out_cxin_cxhx |
|      |                          |                         |   8x48x1x1   |             |  32/0  |        |        |         | 1 M 1 P (0, 0)x(0, 0)    | w,out_c out: cxhxw      |
|      |                          |                         |      8       |             |  33/0  |        |        |         | zero                     |                         |
+------+--------------------------+-------------------------+--------------+-------------+--------+--------+--------+---------+--------------------------+-------------------------+
|  35  | ADD_0_14                 | add                     |   8x24x24    |   8x24x24   |  25/0  | 13824  |   0    |   9.22K | add                      | in: none out: none      |
|      |                          |                         |   8x24x24    |             |  34/0  |        |        |         |                          |                         |
+------+--------------------------+-------------------------+--------------+-------------+--------+--------+--------+---------+--------------------------+-------------------------+
|  38  | CONV_2D_0_15_fusion      | conv_fusion_conv_active |   8x24x24    |  48x24x24   |  35/0  | 32688  |   0    | 221.18K | F 48x8x1x1 S 1x1 D 1x1 G | in: cxhxw,out_cxin_cxhx |
|      |                          |                         |   48x8x1x1   |             |  36/0  |        |        |         | 1 M 1 P (0, 0)x(0, 0)    | w,out_c out: cxhxw      |
|      |                          |                         |      48      |             |  37/0  |        |        |         | zero, Activation relu6   |                         |
+------+--------------------------+-------------------------+--------------+-------------+--------+--------+--------+---------+--------------------------+-------------------------+
|  41  | DEPTHWISE_CONV_2D_0_17_f | conv_fusion_conv_active |   48x24x24   |  48x12x12   |  38/0  | 35040  |   0    |  62.21K | F 48x1x3x3 S 2x2 D 1x1 G | in: cxhxw,out_cxin_cxhx |
|      | usion                    |                         |   48x1x3x3   |             |  39/0  |        |        |         | 48 M 1 P (0, 1)x(0, 1)   | w,out_c out: cxhxw      |
|      |                          |                         |      48      |             |  40/0  |        |        |         | zero, Activation relu6   |                         |
+------+--------------------------+-------------------------+--------------+-------------+--------+--------+--------+---------+--------------------------+-------------------------+
|  44  | CONV_2D_0_18             | conv2d                  |   48x12x12   |  16x12x12   |  41/0  | 10000  |   0    | 110.59K | F 16x48x1x1 S 1x1 D 1x1  | in: cxhxw,out_cxin_cxhx |
|      |                          |                         |  16x48x1x1   |             |  42/0  |        |        |         | G 1 M 1 P (0, 0)x(0, 0)  | w,out_c out: cxhxw      |
|      |                          |                         |      16      |             |  43/0  |        |        |         | zero                     |                         |
+------+--------------------------+-------------------------+--------------+-------------+--------+--------+--------+---------+--------------------------+-------------------------+
|  47  | CONV_2D_0_19_fusion      | conv_fusion_conv_active |   16x12x12   |  96x12x12   |  44/0  | 17760  |   0    | 221.18K | F 96x16x1x1 S 1x1 D 1x1  | in: cxhxw,out_cxin_cxhx |
|      |                          |                         |  96x16x1x1   |             |  45/0  |        |        |         | G 1 M 1 P (0, 0)x(0, 0)  | w,out_c out: cxhxw      |
|      |                          |                         |      96      |             |  46/0  |        |        |         | zero, Activation relu6   |                         |
+------+--------------------------+-------------------------+--------------+-------------+--------+--------+--------+---------+--------------------------+-------------------------+
|  50  | DEPTHWISE_CONV_2D_0_20_f | conv_fusion_conv_active |   96x12x12   |  96x12x12   |  47/0  | 30912  |   0    | 124.42K | F 96x1x3x3 S 1x1 D 1x1 G | in: cxhxw,out_cxin_cxhx |
|      | usion                    |                         |   96x1x3x3   |             |  48/0  |        |        |         | 96 M 1 P (1, 1)x(1, 1)   | w,out_c out: cxhxw      |
|      |                          |                         |      96      |             |  49/0  |        |        |         | zero, Activation relu6   |                         |
+------+--------------------------+-------------------------+--------------+-------------+--------+--------+--------+---------+--------------------------+-------------------------+
|  53  | CONV_2D_0_21             | conv2d                  |   96x12x12   |  16x12x12   |  50/0  | 19984  |   0    | 221.18K | F 16x96x1x1 S 1x1 D 1x1  | in: cxhxw,out_cxin_cxhx |
|      |                          |                         |  16x96x1x1   |             |  51/0  |        |        |         | G 1 M 1 P (0, 0)x(0, 0)  | w,out_c out: cxhxw      |
|      |                          |                         |      16      |             |  52/0  |        |        |         | zero                     |                         |
+------+--------------------------+-------------------------+--------------+-------------+--------+--------+--------+---------+--------------------------+-------------------------+
|  54  | ADD_0_22                 | add                     |   16x12x12   |  16x12x12   |  44/0  |  6912  |   0    |   4.61K | add                      | in: none out: none      |
|      |                          |                         |   16x12x12   |             |  53/0  |        |        |         |                          |                         |
+------+--------------------------+-------------------------+--------------+-------------+--------+--------+--------+---------+--------------------------+-------------------------+
|  57  | CONV_2D_0_23_fusion      | conv_fusion_conv_active |   16x12x12   |  96x12x12   |  54/0  | 17760  |   0    | 221.18K | F 96x16x1x1 S 1x1 D 1x1  | in: cxhxw,out_cxin_cxhx |
|      |                          |                         |  96x16x1x1   |             |  55/0  |        |        |         | G 1 M 1 P (0, 0)x(0, 0)  | w,out_c out: cxhxw      |
|      |                          |                         |      96      |             |  56/0  |        |        |         | zero, Activation relu6   |                         |
+------+--------------------------+-------------------------+--------------+-------------+--------+--------+--------+---------+--------------------------+-------------------------+
|  60  | DEPTHWISE_CONV_2D_0_24_f | conv_fusion_conv_active |   96x12x12   |  96x12x12   |  57/0  | 30912  |   0    | 124.42K | F 96x1x3x3 S 1x1 D 1x1 G | in: cxhxw,out_cxin_cxhx |
|      | usion                    |                         |   96x1x3x3   |             |  58/0  |        |        |         | 96 M 1 P (1, 1)x(1, 1)   | w,out_c out: cxhxw      |
|      |                          |                         |      96      |             |  59/0  |        |        |         | zero, Activation relu6   |                         |
+------+--------------------------+-------------------------+--------------+-------------+--------+--------+--------+---------+--------------------------+-------------------------+
|  63  | CONV_2D_0_25             | conv2d                  |   96x12x12   |  16x12x12   |  60/0  | 19984  |   0    | 221.18K | F 16x96x1x1 S 1x1 D 1x1  | in: cxhxw,out_cxin_cxhx |
|      |                          |                         |  16x96x1x1   |             |  61/0  |        |        |         | G 1 M 1 P (0, 0)x(0, 0)  | w,out_c out: cxhxw      |
|      |                          |                         |      16      |             |  62/0  |        |        |         | zero                     |                         |
+------+--------------------------+-------------------------+--------------+-------------+--------+--------+--------+---------+--------------------------+-------------------------+
|  64  | ADD_0_26                 | add                     |   16x12x12   |  16x12x12   |  54/0  |  6912  |   0    |   4.61K | add                      | in: none out: none      |
|      |                          |                         |   16x12x12   |             |  63/0  |        |        |         |                          |                         |
+------+--------------------------+-------------------------+--------------+-------------+--------+--------+--------+---------+--------------------------+-------------------------+
|  67  | CONV_2D_0_27_fusion      | conv_fusion_conv_active |   16x12x12   |  96x12x12   |  64/0  | 17760  |   0    | 221.18K | F 96x16x1x1 S 1x1 D 1x1  | in: cxhxw,out_cxin_cxhx |
|      |                          |                         |  96x16x1x1   |             |  65/0  |        |        |         | G 1 M 1 P (0, 0)x(0, 0)  | w,out_c out: cxhxw      |
|      |                          |                         |      96      |             |  66/0  |        |        |         | zero, Activation relu6   |                         |
+------+--------------------------+-------------------------+--------------+-------------+--------+--------+--------+---------+--------------------------+-------------------------+
|  70  | DEPTHWISE_CONV_2D_0_29_f | conv_fusion_conv_active |   96x12x12   |   96x6x6    |  67/0  | 18240  |   0    |  31.10K | F 96x1x3x3 S 2x2 D 1x1 G | in: cxhxw,out_cxin_cxhx |
|      | usion                    |                         |   96x1x3x3   |             |  68/0  |        |        |         | 96 M 1 P (0, 1)x(0, 1)   | w,out_c out: cxhxw      |
|      |                          |                         |      96      |             |  69/0  |        |        |         | zero, Activation relu6   |                         |
+------+--------------------------+-------------------------+--------------+-------------+--------+--------+--------+---------+--------------------------+-------------------------+
|  73  | CONV_2D_0_30             | conv2d                  |    96x6x6    |   24x6x6    |  70/0  |  6648  |   0    |  82.94K | F 24x96x1x1 S 1x1 D 1x1  | in: cxhxw,out_cxin_cxhx |
|      |                          |                         |  24x96x1x1   |             |  71/0  |        |        |         | G 1 M 1 P (0, 0)x(0, 0)  | w,out_c out: cxhxw      |
|      |                          |                         |      24      |             |  72/0  |        |        |         | zero                     |                         |
+------+--------------------------+-------------------------+--------------+-------------+--------+--------+--------+---------+--------------------------+-------------------------+
|  76  | CONV_2D_0_31_fusion      | conv_fusion_conv_active |    24x6x6    |   144x6x6   |  73/0  |  9648  |   0    | 124.42K | F 144x24x1x1 S 1x1 D 1x1 | in: cxhxw,out_cxin_cxhx |
|      |                          |                         |  144x24x1x1  |             |  74/0  |        |        |         | G 1 M 1 P (0, 0)x(0, 0)  | w,out_c out: cxhxw      |
|      |                          |                         |     144      |             |  75/0  |        |        |         | zero, Activation relu6   |                         |
+------+--------------------------+-------------------------+--------------+-------------+--------+--------+--------+---------+--------------------------+-------------------------+
|  79  | DEPTHWISE_CONV_2D_0_32_f | conv_fusion_conv_active |   144x6x6    |   144x6x6   |  76/0  | 12672  |   0    |  46.66K | F 144x1x3x3 S 1x1 D 1x1  | in: cxhxw,out_cxin_cxhx |
|      | usion                    |                         |  144x1x3x3   |             |  77/0  |        |        |         | G 144 M 1 P (1, 1)x(1,   | w,out_c out: cxhxw      |
|      |                          |                         |     144      |             |  78/0  |        |        |         | 1) zero, Activation      |                         |
|      |                          |                         |              |             |        |        |        |         | relu6                    |                         |
+------+--------------------------+-------------------------+--------------+-------------+--------+--------+--------+---------+--------------------------+-------------------------+
|  82  | CONV_2D_0_33             | conv2d                  |   144x6x6    |   24x6x6    |  79/0  | 10392  |   0    | 124.42K | F 24x144x1x1 S 1x1 D 1x1 | in: cxhxw,out_cxin_cxhx |
|      |                          |                         |  24x144x1x1  |             |  80/0  |        |        |         | G 1 M 1 P (0, 0)x(0, 0)  | w,out_c out: cxhxw      |
|      |                          |                         |      24      |             |  81/0  |        |        |         | zero                     |                         |
+------+--------------------------+-------------------------+--------------+-------------+--------+--------+--------+---------+--------------------------+-------------------------+
|  83  | ADD_0_34                 | add                     |    24x6x6    |   24x6x6    |  73/0  |  2592  |   0    |   1.73K | add                      | in: none out: none      |
|      |                          |                         |    24x6x6    |             |  82/0  |        |        |         |                          |                         |
+------+--------------------------+-------------------------+--------------+-------------+--------+--------+--------+---------+--------------------------+-------------------------+
|  86  | CONV_2D_0_35_fusion      | conv_fusion_conv_active |    24x6x6    |   144x6x6   |  83/0  |  9648  |   0    | 124.42K | F 144x24x1x1 S 1x1 D 1x1 | in: cxhxw,out_cxin_cxhx |
|      |                          |                         |  144x24x1x1  |             |  84/0  |        |        |         | G 1 M 1 P (0, 0)x(0, 0)  | w,out_c out: cxhxw      |
|      |                          |                         |     144      |             |  85/0  |        |        |         | zero, Activation relu6   |                         |
+------+--------------------------+-------------------------+--------------+-------------+--------+--------+--------+---------+--------------------------+-------------------------+
|  89  | DEPTHWISE_CONV_2D_0_36_f | conv_fusion_conv_active |   144x6x6    |   144x6x6   |  86/0  | 12672  |   0    |  46.66K | F 144x1x3x3 S 1x1 D 1x1  | in: cxhxw,out_cxin_cxhx |
|      | usion                    |                         |  144x1x3x3   |             |  87/0  |        |        |         | G 144 M 1 P (1, 1)x(1,   | w,out_c out: cxhxw      |
|      |                          |                         |     144      |             |  88/0  |        |        |         | 1) zero, Activation      |                         |
|      |                          |                         |              |             |        |        |        |         | relu6                    |                         |
+------+--------------------------+-------------------------+--------------+-------------+--------+--------+--------+---------+--------------------------+-------------------------+
|  92  | CONV_2D_0_37             | conv2d                  |   144x6x6    |   24x6x6    |  89/0  | 10392  |   0    | 124.42K | F 24x144x1x1 S 1x1 D 1x1 | in: cxhxw,out_cxin_cxhx |
|      |                          |                         |  24x144x1x1  |             |  90/0  |        |        |         | G 1 M 1 P (0, 0)x(0, 0)  | w,out_c out: cxhxw      |
|      |                          |                         |      24      |             |  91/0  |        |        |         | zero                     |                         |
+------+--------------------------+-------------------------+--------------+-------------+--------+--------+--------+---------+--------------------------+-------------------------+
|  93  | ADD_0_38                 | add                     |    24x6x6    |   24x6x6    |  83/0  |  2592  |   0    |   1.73K | add                      | in: none out: none      |
|      |                          |                         |    24x6x6    |             |  92/0  |        |        |         |                          |                         |
+------+--------------------------+-------------------------+--------------+-------------+--------+--------+--------+---------+--------------------------+-------------------------+
|  96  | CONV_2D_0_39_fusion      | conv_fusion_conv_active |    24x6x6    |   144x6x6   |  93/0  |  9648  |   0    | 124.42K | F 144x24x1x1 S 1x1 D 1x1 | in: cxhxw,out_cxin_cxhx |
|      |                          |                         |  144x24x1x1  |             |  94/0  |        |        |         | G 1 M 1 P (0, 0)x(0, 0)  | w,out_c out: cxhxw      |
|      |                          |                         |     144      |             |  95/0  |        |        |         | zero, Activation relu6   |                         |
+------+--------------------------+-------------------------+--------------+-------------+--------+--------+--------+---------+--------------------------+-------------------------+
|  99  | DEPTHWISE_CONV_2D_0_40_f | conv_fusion_conv_active |   144x6x6    |   144x6x6   |  96/0  | 12672  |   0    |  46.66K | F 144x1x3x3 S 1x1 D 1x1  | in: cxhxw,out_cxin_cxhx |
|      | usion                    |                         |  144x1x3x3   |             |  97/0  |        |        |         | G 144 M 1 P (1, 1)x(1,   | w,out_c out: cxhxw      |
|      |                          |                         |     144      |             |  98/0  |        |        |         | 1) zero, Activation      |                         |
|      |                          |                         |              |             |        |        |        |         | relu6                    |                         |
+------+--------------------------+-------------------------+--------------+-------------+--------+--------+--------+---------+--------------------------+-------------------------+
| 102  | CONV_2D_0_41             | conv2d                  |   144x6x6    |   24x6x6    |  99/0  | 10392  |   0    | 124.42K | F 24x144x1x1 S 1x1 D 1x1 | in: cxhxw,out_cxin_cxhx |
|      |                          |                         |  24x144x1x1  |             | 100/0  |        |        |         | G 1 M 1 P (0, 0)x(0, 0)  | w,out_c out: cxhxw      |
|      |                          |                         |      24      |             | 101/0  |        |        |         | zero                     |                         |
+------+--------------------------+-------------------------+--------------+-------------+--------+--------+--------+---------+--------------------------+-------------------------+
| 103  | ADD_0_42                 | add                     |    24x6x6    |   24x6x6    |  93/0  |  2592  |   0    |   1.73K | add                      | in: none out: none      |
|      |                          |                         |    24x6x6    |             | 102/0  |        |        |         |                          |                         |
+------+--------------------------+-------------------------+--------------+-------------+--------+--------+--------+---------+--------------------------+-------------------------+
| 106  | CONV_2D_0_43_fusion      | conv_fusion_conv_active |    24x6x6    |   144x6x6   | 103/0  |  9648  |   0    | 124.42K | F 144x24x1x1 S 1x1 D 1x1 | in: cxhxw,out_cxin_cxhx |
|      |                          |                         |  144x24x1x1  |             | 104/0  |        |        |         | G 1 M 1 P (0, 0)x(0, 0)  | w,out_c out: cxhxw      |
|      |                          |                         |     144      |             | 105/0  |        |        |         | zero, Activation relu6   |                         |
+------+--------------------------+-------------------------+--------------+-------------+--------+--------+--------+---------+--------------------------+-------------------------+
| 109  | DEPTHWISE_CONV_2D_0_44_f | conv_fusion_conv_active |   144x6x6    |   144x6x6   | 106/0  | 11808  |   0    |  46.66K | F 144x1x3x3 S 1x1 D 1x1  | in: cxhxw,out_cxin_cxhx |
|      | usion                    |                         |  144x1x3x3   |             | 107/0  |        |        |         | G 144 M 1 P (1, 1)x(1,   | w,out_c out: cxhxw      |
|      |                          |                         |     144      |             | 108/0  |        |        |         | 1) zero, Activation      |                         |
|      |                          |                         |              |             |        |        |        |         | relu6                    |                         |
+------+--------------------------+-------------------------+--------------+-------------+--------+--------+--------+---------+--------------------------+-------------------------+
| 112  | CONV_2D_0_45             | conv2d                  |   144x6x6    |   32x6x6    | 109/0  | 10976  |   0    | 165.89K | F 32x144x1x1 S 1x1 D 1x1 | in: cxhxw,out_cxin_cxhx |
|      |                          |                         |  32x144x1x1  |             | 110/0  |        |        |         | G 1 M 1 P (0, 0)x(0, 0)  | w,out_c out: cxhxw      |
|      |                          |                         |      32      |             | 111/0  |        |        |         | zero                     |                         |
+------+--------------------------+-------------------------+--------------+-------------+--------+--------+--------+---------+--------------------------+-------------------------+
| 115  | CONV_2D_0_46_fusion      | conv_fusion_conv_active |    32x6x6    |   192x6x6   | 112/0  | 14400  |   0    | 221.18K | F 192x32x1x1 S 1x1 D 1x1 | in: cxhxw,out_cxin_cxhx |
|      |                          |                         |  192x32x1x1  |             | 113/0  |        |        |         | G 1 M 1 P (0, 0)x(0, 0)  | w,out_c out: cxhxw      |
|      |                          |                         |     192      |             | 114/0  |        |        |         | zero, Activation relu6   |                         |
+------+--------------------------+-------------------------+--------------+-------------+--------+--------+--------+---------+--------------------------+-------------------------+
| 118  | DEPTHWISE_CONV_2D_0_47_f | conv_fusion_conv_active |   192x6x6    |   192x6x6   | 115/0  | 16896  |   0    |  62.21K | F 192x1x3x3 S 1x1 D 1x1  | in: cxhxw,out_cxin_cxhx |
|      | usion                    |                         |  192x1x3x3   |             | 116/0  |        |        |         | G 192 M 1 P (1, 1)x(1,   | w,out_c out: cxhxw      |
|      |                          |                         |     192      |             | 117/0  |        |        |         | 1) zero, Activation      |                         |
|      |                          |                         |              |             |        |        |        |         | relu6                    |                         |
+------+--------------------------+-------------------------+--------------+-------------+--------+--------+--------+---------+--------------------------+-------------------------+
| 121  | CONV_2D_0_48             | conv2d                  |   192x6x6    |   32x6x6    | 118/0  | 15392  |   0    | 221.18K | F 32x192x1x1 S 1x1 D 1x1 | in: cxhxw,out_cxin_cxhx |
|      |                          |                         |  32x192x1x1  |             | 119/0  |        |        |         | G 1 M 1 P (0, 0)x(0, 0)  | w,out_c out: cxhxw      |
|      |                          |                         |      32      |             | 120/0  |        |        |         | zero                     |                         |
+------+--------------------------+-------------------------+--------------+-------------+--------+--------+--------+---------+--------------------------+-------------------------+
| 122  | ADD_0_49                 | add                     |    32x6x6    |   32x6x6    | 112/0  |  3456  |   0    |   2.30K | add                      | in: none out: none      |
|      |                          |                         |    32x6x6    |             | 121/0  |        |        |         |                          |                         |
+------+--------------------------+-------------------------+--------------+-------------+--------+--------+--------+---------+--------------------------+-------------------------+
| 125  | CONV_2D_0_50_fusion      | conv_fusion_conv_active |    32x6x6    |   192x6x6   | 122/0  | 14400  |   0    | 221.18K | F 192x32x1x1 S 1x1 D 1x1 | in: cxhxw,out_cxin_cxhx |
|      |                          |                         |  192x32x1x1  |             | 123/0  |        |        |         | G 1 M 1 P (0, 0)x(0, 0)  | w,out_c out: cxhxw      |
|      |                          |                         |     192      |             | 124/0  |        |        |         | zero, Activation relu6   |                         |
+------+--------------------------+-------------------------+--------------+-------------+--------+--------+--------+---------+--------------------------+-------------------------+
| 128  | DEPTHWISE_CONV_2D_0_51_f | conv_fusion_conv_active |   192x6x6    |   192x6x6   | 125/0  | 16896  |   0    |  62.21K | F 192x1x3x3 S 1x1 D 1x1  | in: cxhxw,out_cxin_cxhx |
|      | usion                    |                         |  192x1x3x3   |             | 126/0  |        |        |         | G 192 M 1 P (1, 1)x(1,   | w,out_c out: cxhxw      |
|      |                          |                         |     192      |             | 127/0  |        |        |         | 1) zero, Activation      |                         |
|      |                          |                         |              |             |        |        |        |         | relu6                    |                         |
+------+--------------------------+-------------------------+--------------+-------------+--------+--------+--------+---------+--------------------------+-------------------------+
| 131  | CONV_2D_0_52             | conv2d                  |   192x6x6    |   32x6x6    | 128/0  | 15392  |   0    | 221.18K | F 32x192x1x1 S 1x1 D 1x1 | in: cxhxw,out_cxin_cxhx |
|      |                          |                         |  32x192x1x1  |             | 129/0  |        |        |         | G 1 M 1 P (0, 0)x(0, 0)  | w,out_c out: cxhxw      |
|      |                          |                         |      32      |             | 130/0  |        |        |         | zero                     |                         |
+------+--------------------------+-------------------------+--------------+-------------+--------+--------+--------+---------+--------------------------+-------------------------+
| 132  | ADD_0_53                 | add                     |    32x6x6    |   32x6x6    | 122/0  |  3456  |   0    |   2.30K | add                      | in: none out: none      |
|      |                          |                         |    32x6x6    |             | 131/0  |        |        |         |                          |                         |
+------+--------------------------+-------------------------+--------------+-------------+--------+--------+--------+---------+--------------------------+-------------------------+
| 135  | CONV_2D_0_54_fusion      | conv_fusion_conv_active |    32x6x6    |   192x6x6   | 132/0  | 14400  |   0    | 221.18K | F 192x32x1x1 S 1x1 D 1x1 | in: cxhxw,out_cxin_cxhx |
|      |                          |                         |  192x32x1x1  |             | 133/0  |        |        |         | G 1 M 1 P (0, 0)x(0, 0)  | w,out_c out: cxhxw      |
|      |                          |                         |     192      |             | 134/0  |        |        |         | zero, Activation relu6   |                         |
+------+--------------------------+-------------------------+--------------+-------------+--------+--------+--------+---------+--------------------------+-------------------------+
| 138  | DEPTHWISE_CONV_2D_0_56_f | conv_fusion_conv_active |   192x6x6    |   192x3x3   | 135/0  | 10560  |   0    |  15.55K | F 192x1x3x3 S 2x2 D 1x1  | in: cxhxw,out_cxin_cxhx |
|      | usion                    |                         |  192x1x3x3   |             | 136/0  |        |        |         | G 192 M 1 P (0, 1)x(0,   | w,out_c out: cxhxw      |
|      |                          |                         |     192      |             | 137/0  |        |        |         | 1) zero, Activation      |                         |
|      |                          |                         |              |             |        |        |        |         | relu6                    |                         |
+------+--------------------------+-------------------------+--------------+-------------+--------+--------+--------+---------+--------------------------+-------------------------+
| 141  | CONV_2D_0_57             | conv2d                  |   192x3x3    |   56x3x3    | 138/0  | 13040  |   0    |  96.77K | F 56x192x1x1 S 1x1 D 1x1 | in: cxhxw,out_cxin_cxhx |
|      |                          |                         |  56x192x1x1  |             | 139/0  |        |        |         | G 1 M 1 P (0, 0)x(0, 0)  | w,out_c out: cxhxw      |
|      |                          |                         |      56      |             | 140/0  |        |        |         | zero                     |                         |
+------+--------------------------+-------------------------+--------------+-------------+--------+--------+--------+---------+--------------------------+-------------------------+
| 144  | CONV_2D_0_58_fusion      | conv_fusion_conv_active |    56x3x3    |   336x3x3   | 141/0  | 22680  |   0    | 169.34K | F 336x56x1x1 S 1x1 D 1x1 | in: cxhxw,out_cxin_cxhx |
|      |                          |                         |  336x56x1x1  |             | 142/0  |        |        |         | G 1 M 1 P (0, 0)x(0, 0)  | w,out_c out: cxhxw      |
|      |                          |                         |     336      |             | 143/0  |        |        |         | zero, Activation relu6   |                         |
+------+--------------------------+-------------------------+--------------+-------------+--------+--------+--------+---------+--------------------------+-------------------------+
| 147  | DEPTHWISE_CONV_2D_0_59_f | conv_fusion_conv_active |   336x3x3    |   336x3x3   | 144/0  |  9912  |   0    |  27.22K | F 336x1x3x3 S 1x1 D 1x1  | in: cxhxw,out_cxin_cxhx |
|      | usion                    |                         |  336x1x3x3   |             | 145/0  |        |        |         | G 336 M 1 P (1, 1)x(1,   | w,out_c out: cxhxw      |
|      |                          |                         |     336      |             | 146/0  |        |        |         | 1) zero, Activation      |                         |
|      |                          |                         |              |             |        |        |        |         | relu6                    |                         |
+------+--------------------------+-------------------------+--------------+-------------+--------+--------+--------+---------+--------------------------+-------------------------+
| 150  | CONV_2D_0_60             | conv2d                  |   336x3x3    |   56x3x3    | 147/0  | 22904  |   0    | 169.34K | F 56x336x1x1 S 1x1 D 1x1 | in: cxhxw,out_cxin_cxhx |
|      |                          |                         |  56x336x1x1  |             | 148/0  |        |        |         | G 1 M 1 P (0, 0)x(0, 0)  | w,out_c out: cxhxw      |
|      |                          |                         |      56      |             | 149/0  |        |        |         | zero                     |                         |
+------+--------------------------+-------------------------+--------------+-------------+--------+--------+--------+---------+--------------------------+-------------------------+
| 151  | ADD_0_61                 | add                     |    56x3x3    |   56x3x3    | 141/0  |  1512  |   0    |   1.01K | add                      | in: none out: none      |
|      |                          |                         |    56x3x3    |             | 150/0  |        |        |         |                          |                         |
+------+--------------------------+-------------------------+--------------+-------------+--------+--------+--------+---------+--------------------------+-------------------------+
| 154  | CONV_2D_0_62_fusion      | conv_fusion_conv_active |    56x3x3    |   336x3x3   | 151/0  | 22680  |   0    | 169.34K | F 336x56x1x1 S 1x1 D 1x1 | in: cxhxw,out_cxin_cxhx |
|      |                          |                         |  336x56x1x1  |             | 152/0  |        |        |         | G 1 M 1 P (0, 0)x(0, 0)  | w,out_c out: cxhxw      |
|      |                          |                         |     336      |             | 153/0  |        |        |         | zero, Activation relu6   |                         |
+------+--------------------------+-------------------------+--------------+-------------+--------+--------+--------+---------+--------------------------+-------------------------+
| 157  | DEPTHWISE_CONV_2D_0_63_f | conv_fusion_conv_active |   336x3x3    |   336x3x3   | 154/0  |  9912  |   0    |  27.22K | F 336x1x3x3 S 1x1 D 1x1  | in: cxhxw,out_cxin_cxhx |
|      | usion                    |                         |  336x1x3x3   |             | 155/0  |        |        |         | G 336 M 1 P (1, 1)x(1,   | w,out_c out: cxhxw      |
|      |                          |                         |     336      |             | 156/0  |        |        |         | 1) zero, Activation      |                         |
|      |                          |                         |              |             |        |        |        |         | relu6                    |                         |
+------+--------------------------+-------------------------+--------------+-------------+--------+--------+--------+---------+--------------------------+-------------------------+
| 160  | CONV_2D_0_64             | conv2d                  |   336x3x3    |   56x3x3    | 157/0  | 22904  |   0    | 169.34K | F 56x336x1x1 S 1x1 D 1x1 | in: cxhxw,out_cxin_cxhx |
|      |                          |                         |  56x336x1x1  |             | 158/0  |        |        |         | G 1 M 1 P (0, 0)x(0, 0)  | w,out_c out: cxhxw      |
|      |                          |                         |      56      |             | 159/0  |        |        |         | zero                     |                         |
+------+--------------------------+-------------------------+--------------+-------------+--------+--------+--------+---------+--------------------------+-------------------------+
| 161  | ADD_0_65                 | add                     |    56x3x3    |   56x3x3    | 151/0  |  1512  |   0    |   1.01K | add                      | in: none out: none      |
|      |                          |                         |    56x3x3    |             | 160/0  |        |        |         |                          |                         |
+------+--------------------------+-------------------------+--------------+-------------+--------+--------+--------+---------+--------------------------+-------------------------+
| 164  | CONV_2D_0_66_fusion      | conv_fusion_conv_active |    56x3x3    |   336x3x3   | 161/0  | 22680  |   0    | 169.34K | F 336x56x1x1 S 1x1 D 1x1 | in: cxhxw,out_cxin_cxhx |
|      |                          |                         |  336x56x1x1  |             | 162/0  |        |        |         | G 1 M 1 P (0, 0)x(0, 0)  | w,out_c out: cxhxw      |
|      |                          |                         |     336      |             | 163/0  |        |        |         | zero, Activation relu6   |                         |
+------+--------------------------+-------------------------+--------------+-------------+--------+--------+--------+---------+--------------------------+-------------------------+
| 167  | DEPTHWISE_CONV_2D_0_67_f | conv_fusion_conv_active |   336x3x3    |   336x3x3   | 164/0  |  9408  |   0    |  27.22K | F 336x1x3x3 S 1x1 D 1x1  | in: cxhxw,out_cxin_cxhx |
|      | usion                    |                         |  336x1x3x3   |             | 165/0  |        |        |         | G 336 M 1 P (1, 1)x(1,   | w,out_c out: cxhxw      |
|      |                          |                         |     336      |             | 166/0  |        |        |         | 1) zero, Activation      |                         |
|      |                          |                         |              |             |        |        |        |         | relu6                    |                         |
+------+--------------------------+-------------------------+--------------+-------------+--------+--------+--------+---------+--------------------------+-------------------------+
| 170  | CONV_2D_0_68             | conv2d                  |   336x3x3    |   112x3x3   | 167/0  | 41776  |   0    | 338.69K | F 112x336x1x1 S 1x1 D    | in: cxhxw,out_cxin_cxhx |
|      |                          |                         | 112x336x1x1  |             | 168/0  |        |        |         | 1x1 G 1 M 1 P (0, 0)x(0, | w,out_c out: cxhxw      |
|      |                          |                         |     112      |             | 169/0  |        |        |         | 0) zero                  |                         |
+------+--------------------------+-------------------------+--------------+-------------+--------+--------+--------+---------+--------------------------+-------------------------+
| 173  | CONV_2D_0_69_fusion      | conv_fusion_conv_active |   112x3x3    |  1280x3x3   | 170/0  | 157168 |   0    |   1.29M | F 1280x112x1x1 S 1x1 D   | in: cxhxw,out_cxin_cxhx |
|      |                          |                         | 1280x112x1x1 |             | 171/0  |        |        |         | 1x1 G 1 M 1 P (0, 0)x(0, | w,out_c out: cxhxw      |
|      |                          |                         |     1280     |             | 172/0  |        |        |         | 0) zero, Activation      |                         |
|      |                          |                         |              |             |        |        |        |         | relu6                    |                         |
+------+--------------------------+-------------------------+--------------+-------------+--------+--------+--------+---------+--------------------------+-------------------------+
| 176  | DEPTHWISE_CONV_2D_0_70   | conv2d                  |   1280x3x3   |  1280x1x1   | 173/0  | 25600  |   0    |  11.52K | F 1280x1x3x3 S 1x1 D 1x1 | in: cxhxw,out_cxin_cxhx |
|      |                          |                         |  1280x1x3x3  |             | 174/0  |        |        |         | G 1280 M 1 P (0, 0)x(0,  | w,out_c out: cxhxw      |
|      |                          |                         |     1280     |             | 175/0  |        |        |         | 0) zero                  |                         |
+------+--------------------------+-------------------------+--------------+-------------+--------+--------+--------+---------+--------------------------+-------------------------+
| 179  | CONV_2D_0_71_fusion      | conv_fusion_conv_active |   1280x1x1   |   32x1x1    | 176/0  | 42304  |   0    |  40.96K | F 32x1280x1x1 S 1x1 D    | in: cxhxw,out_cxin_cxhx |
|      |                          |                         | 32x1280x1x1  |             | 177/0  |        |        |         | 1x1 G 1 M 1 P (0, 0)x(0, | w,out_c out: cxhxw      |
|      |                          |                         |      32      |             | 178/0  |        |        |         | 0) zero, Activation relu |                         |
+------+--------------------------+-------------------------+--------------+-------------+--------+--------+--------+---------+--------------------------+-------------------------+
| 180  | MEAN_0_72                | global_average_pool     |    32x1x1    |     32      | 179/0  |   64   |   0    |      33 | average A [1, 2]         | in: none out: none      |
+------+--------------------------+-------------------------+--------------+-------------+--------+--------+--------+---------+--------------------------+-------------------------+
| 183  | FULLY_CONNECTED_0_73     | linear                  |      32      |      2      | 180/0  |  100   |   0    |      64 | F 2x32 B 1               | in: none out: none      |
|      |                          |                         |     2x32     |             | 181/0  |        |        |         |                          |                         |
|      |                          |                         |      2       |             | 182/0  |        |        |         |                          |                         |
+------+--------------------------+-------------------------+--------------+-------------+--------+--------+--------+---------+--------------------------+-------------------------+
| 184  | SOFTMAX_0_74             | softmax                 |      2       |      2      | 183/0  |   4    |   0    |       4 | Beta 0.0 Axis 0 Op:      | in: none out: none      |
+------+--------------------------+-------------------------+--------------+-------------+--------+--------+--------+---------+--------------------------+-------------------------+
| 185  | output_1                 | output                  |      2       |      2      | 184/0  |   2    |   0    |         | O 2                      | in: none out: none      |
+------+--------------------------+-------------------------+--------------+-------------+--------+--------+--------+---------+--------------------------+-------------------------+
|      | Totals (#)               |                         |              |             |        | 157168 | 442954 |  10.99M |                          |                         |
|      | Max active/Total params  |                         |              |             |        |        |        |         |                          |                         |
+------+--------------------------+-------------------------+--------------+-------------+--------+--------+--------+---------+--------------------------+-------------------------+
|      | Totals (#)               |                         |              |             |        |        | 600122 |  10.99M |                          |                         |
|      | Max mem usage            |                         |              |             |        |        |        |         |                          |                         |
+------+--------------------------+-------------------------+--------------+-------------+--------+--------+--------+---------+--------------------------+-------------------------+
save_state - saved state to BUILD_MODEL_SQ8BIT/classification.json
echo "GENERATING AUTOTILER MODEL"
GENERATING AUTOTILER MODEL
nntool -g -M BUILD_MODEL_SQ8BIT -m classificationModel.c -T BUILD_MODEL_SQ8BIT/tensors -H classificationInfo.h  BUILD_MODEL_SQ8BIT/classification.json
/usr/local/lib/python3.8/dist-packages/sklearn/utils/multiclass.py:13: DeprecationWarning: Please use `spmatrix` from the `scipy.sparse` namespace, the `scipy.sparse.base` namespace is deprecated.
  from scipy.sparse.base import spmatrix
/usr/local/lib/python3.8/dist-packages/sklearn/linear_model/least_angle.py:30: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
  method='lar', copy_X=True, eps=np.finfo(np.float).eps,
/usr/local/lib/python3.8/dist-packages/sklearn/linear_model/least_angle.py:167: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
  method='lar', copy_X=True, eps=np.finfo(np.float).eps,
/usr/local/lib/python3.8/dist-packages/sklearn/linear_model/least_angle.py:284: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
  eps=np.finfo(np.float).eps, copy_Gram=True, verbose=0,
/usr/local/lib/python3.8/dist-packages/sklearn/linear_model/least_angle.py:862: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
  eps=np.finfo(np.float).eps, copy_X=True, fit_path=True,
/usr/local/lib/python3.8/dist-packages/sklearn/linear_model/least_angle.py:1101: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
  eps=np.finfo(np.float).eps, copy_X=True, fit_path=True,
/usr/local/lib/python3.8/dist-packages/sklearn/linear_model/least_angle.py:1127: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
  eps=np.finfo(np.float).eps, positive=False):
/usr/local/lib/python3.8/dist-packages/sklearn/linear_model/least_angle.py:1362: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
  max_n_alphas=1000, n_jobs=None, eps=np.finfo(np.float).eps,
/usr/local/lib/python3.8/dist-packages/sklearn/linear_model/least_angle.py:1602: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
  max_n_alphas=1000, n_jobs=None, eps=np.finfo(np.float).eps,
/usr/local/lib/python3.8/dist-packages/sklearn/linear_model/least_angle.py:1738: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
  eps=np.finfo(np.float).eps, copy_X=True, positive=False):
/usr/local/lib/python3.8/dist-packages/sklearn/utils/optimize.py:18: DeprecationWarning: Please use `line_search_wolfe2` from the `scipy.optimize` namespace, the `scipy.optimize.linesearch` namespace is deprecated.
  from scipy.optimize.linesearch import line_search_wolfe2, line_search_wolfe1
/usr/local/lib/python3.8/dist-packages/sklearn/utils/optimize.py:18: DeprecationWarning: Please use `line_search_wolfe1` from the `scipy.optimize` namespace, the `scipy.optimize.linesearch` namespace is deprecated.
  from scipy.optimize.linesearch import line_search_wolfe2, line_search_wolfe1
/usr/local/lib/python3.8/dist-packages/sklearn/decomposition/online_lda.py:29: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
  EPS = np.finfo(np.float).eps
settings - set log level to INFO
log_level - was: 'INFO'
now: 'INFO'
open - opening graph file BUILD_MODEL_SQ8BIT/classification.tflite load_quantization = True
tflite - Importing TFLITE model version 3
quantize_mixin - removing (de)quantize node QUANTIZE_0_0 with no effect
quantize_mixin - removing (de)quantize node QUANTIZE_0_75 with no effect
nngraph - update graph dimensions
nngraph - update graph dimensions
/gap_sdk/tools/nntool/nntool/quantization/multiplicative/quantizers/filter_mult.py:241: RuntimeWarning: divide by zero encountered in log2
  biases_bits = np.ceil(np.log2(np.abs(biases_q.quantize(biases_node.dqvalue))))
unified_quantization_handler - indicating change of FULLY_CONNECTED_0_73 input from c, out_cin_c, out_c to chw, out_cin_chw, out_c order - rerun adjust command
unified_quantization_handler - indicating change of FULLY_CONNECTED_0_73 output from c to chw order - rerun adjust command
nngraph - update graph dimensions
nngraph - update graph dimensions
nngraph - update graph dimensions
fuse_pad - adding padding from: PAD_0_8 to filter: DEPTHWISE_CONV_2D_0_9 - has 0 reshapes
fuse_pad - adding padding from: PAD_0_16 to filter: DEPTHWISE_CONV_2D_0_17 - has 0 reshapes
fuse_pad - adding padding from: PAD_0_28 to filter: DEPTHWISE_CONV_2D_0_29 - has 0 reshapes
fuse_pad - adding padding from: PAD_0_55 to filter: DEPTHWISE_CONV_2D_0_56 - has 0 reshapes
nngraph - update graph dimensions
debug - was: False
now: True
adjust_order - adding transposes to correct tensor order for AT kernels
global_pool - global pool fusion MEAN_0_72: inserting transpose before operation
eliminate_transposes - found elimination for CONV_2D_0_10_trans_in0 upwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_10_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for CONV_2D_0_10_trans_out0 downwards - 4 eliminated
eliminate_transposes - found elimination for CONV_2D_0_11_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for CONV_2D_0_11_trans_out0 downwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_13_trans_in0 upwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_13_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for CONV_2D_0_15_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for CONV_2D_0_15_trans_out0 downwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_18_trans_in0 upwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_18_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for CONV_2D_0_18_trans_out0 downwards - 6 eliminated
eliminate_transposes - found elimination for CONV_2D_0_19_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for CONV_2D_0_19_trans_out0 downwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_21_trans_in0 upwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_21_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for CONV_2D_0_23_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for CONV_2D_0_23_trans_out0 downwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_25_trans_in0 upwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_25_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for CONV_2D_0_27_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for CONV_2D_0_27_trans_out0 downwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_2_trans_in0 upwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_2_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for CONV_2D_0_2_trans_out0 downwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_30_trans_in0 upwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_30_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for CONV_2D_0_30_trans_out0 downwards - 8 eliminated
eliminate_transposes - found elimination for CONV_2D_0_31_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for CONV_2D_0_31_trans_out0 downwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_33_trans_in0 upwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_33_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for CONV_2D_0_35_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for CONV_2D_0_35_trans_out0 downwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_37_trans_in0 upwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_37_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for CONV_2D_0_39_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for CONV_2D_0_39_trans_out0 downwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_41_trans_in0 upwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_41_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for CONV_2D_0_43_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for CONV_2D_0_43_trans_out0 downwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_45_trans_in0 upwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_45_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for CONV_2D_0_45_trans_out0 downwards - 6 eliminated
eliminate_transposes - found elimination for CONV_2D_0_46_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for CONV_2D_0_46_trans_out0 downwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_48_trans_in0 upwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_48_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for CONV_2D_0_4_trans_in0 upwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_4_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for CONV_2D_0_4_trans_out0 downwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_50_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for CONV_2D_0_50_trans_out0 downwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_52_trans_in0 upwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_52_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for CONV_2D_0_54_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for CONV_2D_0_54_trans_out0 downwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_57_trans_in0 upwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_57_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for CONV_2D_0_57_trans_out0 downwards - 6 eliminated
eliminate_transposes - found elimination for CONV_2D_0_58_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for CONV_2D_0_58_trans_out0 downwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_60_trans_in0 upwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_60_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for CONV_2D_0_62_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for CONV_2D_0_62_trans_out0 downwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_64_trans_in0 upwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_64_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for CONV_2D_0_66_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for CONV_2D_0_66_trans_out0 downwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_68_trans_in0 upwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_68_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for CONV_2D_0_68_trans_out0 downwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_69_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for CONV_2D_0_69_trans_out0 downwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_6_trans_in0 upwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_6_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for CONV_2D_0_6_trans_out0 downwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_71_trans_in0 upwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_71_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for CONV_2D_0_71_trans_out0 downwards - 2 eliminated
eliminate_transposes - found elimination for CONV_2D_0_7_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for CONV_2D_0_7_trans_out0 downwards - 2 eliminated
eliminate_transposes - found elimination for DEPTHWISE_CONV_2D_0_12_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for DEPTHWISE_CONV_2D_0_17_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for DEPTHWISE_CONV_2D_0_1_trans_in0 upwards - 1 eliminated
eliminate_transposes - found elimination for DEPTHWISE_CONV_2D_0_1_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for DEPTHWISE_CONV_2D_0_20_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for DEPTHWISE_CONV_2D_0_24_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for DEPTHWISE_CONV_2D_0_29_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for DEPTHWISE_CONV_2D_0_32_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for DEPTHWISE_CONV_2D_0_36_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for DEPTHWISE_CONV_2D_0_40_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for DEPTHWISE_CONV_2D_0_44_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for DEPTHWISE_CONV_2D_0_47_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for DEPTHWISE_CONV_2D_0_51_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for DEPTHWISE_CONV_2D_0_56_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for DEPTHWISE_CONV_2D_0_59_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for DEPTHWISE_CONV_2D_0_5_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for DEPTHWISE_CONV_2D_0_63_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for DEPTHWISE_CONV_2D_0_67_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for DEPTHWISE_CONV_2D_0_70_trans_in1 upwards - 1 eliminated
eliminate_transposes - found elimination for DEPTHWISE_CONV_2D_0_9_trans_in1 upwards - 1 eliminated
eliminate_transposes - eliminate transposes
nngraph - update graph dimensions
nngraph - update graph dimensions
eliminate_transposes - no transposes to eliminate found
nngraph - update graph dimensions
nngraph - update graph dimensions
eliminate_transposes - no further transpose sequences found
nngraph - adjusted order
nngraph - update graph dimensions
remove_noops - removing QUANTIZE_0_0 that does nothing
remove_noops - removing QUANTIZE_0_75 that does nothing
matcher - ++ fusion remove_noops modified graph
fuse_gap_convs - fusing nodes DEPTHWISE_CONV_2D_0_1,DEPTHWISE_CONV_2D_0_1_activation into DEPTHWISE_CONV_2D_0_1_fusion
fuse_gap_convs - fusing nodes CONV_2D_0_4,CONV_2D_0_4_activation into CONV_2D_0_4_fusion
fuse_gap_convs - fusing nodes DEPTHWISE_CONV_2D_0_5,DEPTHWISE_CONV_2D_0_5_activation into DEPTHWISE_CONV_2D_0_5_fusion
fuse_gap_convs - fusing nodes CONV_2D_0_7,CONV_2D_0_7_activation into CONV_2D_0_7_fusion
fuse_gap_convs - fusing nodes DEPTHWISE_CONV_2D_0_9,DEPTHWISE_CONV_2D_0_9_activation into DEPTHWISE_CONV_2D_0_9_fusion
fuse_gap_convs - fusing nodes CONV_2D_0_11,CONV_2D_0_11_activation into CONV_2D_0_11_fusion
fuse_gap_convs - fusing nodes DEPTHWISE_CONV_2D_0_12,DEPTHWISE_CONV_2D_0_12_activation into DEPTHWISE_CONV_2D_0_12_fusion
fuse_gap_convs - fusing nodes CONV_2D_0_15,CONV_2D_0_15_activation into CONV_2D_0_15_fusion
fuse_gap_convs - fusing nodes DEPTHWISE_CONV_2D_0_17,DEPTHWISE_CONV_2D_0_17_activation into DEPTHWISE_CONV_2D_0_17_fusion
fuse_gap_convs - fusing nodes CONV_2D_0_19,CONV_2D_0_19_activation into CONV_2D_0_19_fusion
fuse_gap_convs - fusing nodes DEPTHWISE_CONV_2D_0_20,DEPTHWISE_CONV_2D_0_20_activation into DEPTHWISE_CONV_2D_0_20_fusion
fuse_gap_convs - fusing nodes CONV_2D_0_23,CONV_2D_0_23_activation into CONV_2D_0_23_fusion
fuse_gap_convs - fusing nodes DEPTHWISE_CONV_2D_0_24,DEPTHWISE_CONV_2D_0_24_activation into DEPTHWISE_CONV_2D_0_24_fusion
fuse_gap_convs - fusing nodes CONV_2D_0_27,CONV_2D_0_27_activation into CONV_2D_0_27_fusion
fuse_gap_convs - fusing nodes DEPTHWISE_CONV_2D_0_29,DEPTHWISE_CONV_2D_0_29_activation into DEPTHWISE_CONV_2D_0_29_fusion
fuse_gap_convs - fusing nodes CONV_2D_0_31,CONV_2D_0_31_activation into CONV_2D_0_31_fusion
fuse_gap_convs - fusing nodes DEPTHWISE_CONV_2D_0_32,DEPTHWISE_CONV_2D_0_32_activation into DEPTHWISE_CONV_2D_0_32_fusion
fuse_gap_convs - fusing nodes CONV_2D_0_35,CONV_2D_0_35_activation into CONV_2D_0_35_fusion
fuse_gap_convs - fusing nodes DEPTHWISE_CONV_2D_0_36,DEPTHWISE_CONV_2D_0_36_activation into DEPTHWISE_CONV_2D_0_36_fusion
fuse_gap_convs - fusing nodes CONV_2D_0_39,CONV_2D_0_39_activation into CONV_2D_0_39_fusion
fuse_gap_convs - fusing nodes DEPTHWISE_CONV_2D_0_40,DEPTHWISE_CONV_2D_0_40_activation into DEPTHWISE_CONV_2D_0_40_fusion
fuse_gap_convs - fusing nodes CONV_2D_0_43,CONV_2D_0_43_activation into CONV_2D_0_43_fusion
fuse_gap_convs - fusing nodes DEPTHWISE_CONV_2D_0_44,DEPTHWISE_CONV_2D_0_44_activation into DEPTHWISE_CONV_2D_0_44_fusion
fuse_gap_convs - fusing nodes CONV_2D_0_46,CONV_2D_0_46_activation into CONV_2D_0_46_fusion
fuse_gap_convs - fusing nodes DEPTHWISE_CONV_2D_0_47,DEPTHWISE_CONV_2D_0_47_activation into DEPTHWISE_CONV_2D_0_47_fusion
fuse_gap_convs - fusing nodes CONV_2D_0_50,CONV_2D_0_50_activation into CONV_2D_0_50_fusion
fuse_gap_convs - fusing nodes DEPTHWISE_CONV_2D_0_51,DEPTHWISE_CONV_2D_0_51_activation into DEPTHWISE_CONV_2D_0_51_fusion
fuse_gap_convs - fusing nodes CONV_2D_0_54,CONV_2D_0_54_activation into CONV_2D_0_54_fusion
fuse_gap_convs - fusing nodes DEPTHWISE_CONV_2D_0_56,DEPTHWISE_CONV_2D_0_56_activation into DEPTHWISE_CONV_2D_0_56_fusion
fuse_gap_convs - fusing nodes CONV_2D_0_58,CONV_2D_0_58_activation into CONV_2D_0_58_fusion
fuse_gap_convs - fusing nodes DEPTHWISE_CONV_2D_0_59,DEPTHWISE_CONV_2D_0_59_activation into DEPTHWISE_CONV_2D_0_59_fusion
fuse_gap_convs - fusing nodes CONV_2D_0_62,CONV_2D_0_62_activation into CONV_2D_0_62_fusion
fuse_gap_convs - fusing nodes DEPTHWISE_CONV_2D_0_63,DEPTHWISE_CONV_2D_0_63_activation into DEPTHWISE_CONV_2D_0_63_fusion
fuse_gap_convs - fusing nodes CONV_2D_0_66,CONV_2D_0_66_activation into CONV_2D_0_66_fusion
fuse_gap_convs - fusing nodes DEPTHWISE_CONV_2D_0_67,DEPTHWISE_CONV_2D_0_67_activation into DEPTHWISE_CONV_2D_0_67_fusion
fuse_gap_convs - fusing nodes CONV_2D_0_69,CONV_2D_0_69_activation into CONV_2D_0_69_fusion
fuse_gap_convs - fusing nodes CONV_2D_0_71,CONV_2D_0_71_activation into CONV_2D_0_71_fusion
matcher - ++ fusion fuse_gap_convs modified graph
matcher - ++ fusion scaled_match_group modified graph
/gap_sdk/tools/nntool/nntool/quantization/multiplicative/quantizers/filter_mult.py:241: RuntimeWarning: divide by zero encountered in log2
  biases_bits = np.ceil(np.log2(np.abs(biases_q.quantize(biases_node.dqvalue))))
nngraph - update graph dimensions
adjust_order - adding transposes to correct tensor order for AT kernels
eliminate_transposes - no transposes to eliminate found
nngraph - update graph dimensions
nngraph - update graph dimensions
eliminate_transposes - no further transpose sequences found
nngraph - adjusted order
generator - Saving model to BUILD_MODEL_SQ8BIT/classificationModel.c
generator - Writing constants to BUILD_MODEL_SQ8BIT
echo "COMPILING AUTOTILER MODEL"
COMPILING AUTOTILER MODEL
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/Generators/BilinearResizes -I/gap_sdk/tools/autotiler_v3/CNN_Libraries -I/gap_sdk/tools/autotiler_v3/CNN_Libraries_fp16 -I/gap_sdk/tools/autotiler_v3/DSP_Generators -I/gap_sdk/tools/autotiler_v3/CNN_Generators_SQ8 -I/gap_sdk/tools/autotiler_v3/Generators/BilinearResizes -I/gap_sdk/tools/autotiler_v3/CNN_Libraries -I/gap_sdk/tools/autotiler_v3/DSP_Libraries -I/gap_sdk/tools/autotiler_v3/CNN_Libraries_fp16 -I/gap_sdk/tools/autotiler_v3/CNN_Libraries_SQ8 /gap_sdk/tools/autotiler_v3/CNN_Generators/CNN_Generator_Util.c /gap_sdk/tools/autotiler_v3/CNN_Generators/CNN_Copy_Generators.c /gap_sdk/tools/autotiler_v3/CNN_Generators/SSD_Generators.c /gap_sdk/tools/autotiler_v3/Generators/BilinearResizes/ResizeGenerator.c /gap_sdk/tools/autotiler_v3/DSP_Generators/DSP_Generators.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 BUILD_MODEL_SQ8BIT/classificationModel.c /gap_sdk/tools/autotiler_v3/Autotiler/LibTile.a -lSDL2 -lSDL2_ttf 
echo "RUNNING AUTOTILER MODEL"
RUNNING AUTOTILER MODEL
BUILD_MODEL_SQ8BIT/GenTile -o BUILD_MODEL_SQ8BIT -c BUILD_MODEL_SQ8BIT --L1 46736 --L2 270000 --L3 8000000

Generating Code For User Kernel:              S3_Conv2d_1x1x1x1_Relu
Generating Code For User Kernel:                   S6_Conv2d_3x1x1x1
Generating Code For User Kernel:           S7_Op_RESIZE_BILINEAR_0_3
Generating Code For User Kernel:           S10_Conv2d_16x3x3x3_Relu6
Generating Code For User Kernel:           S13_Conv2d_16x1x3x3_Relu6
Generating Code For User Kernel:                 S16_Conv2d_8x16x1x1
Generating Code For User Kernel:           S19_Conv2d_48x8x1x1_Relu6
Generating Code For User Kernel:           S22_Conv2d_48x1x3x3_Relu6
Generating Code For User Kernel:                 S25_Conv2d_8x48x1x1
Generating Code For User Kernel:           S28_Conv2d_48x8x1x1_Relu6
Generating Code For User Kernel:           S31_Conv2d_48x1x3x3_Relu6
Generating Code For User Kernel:                 S34_Conv2d_8x48x1x1
Generating Code For User Kernel:                  S35_MatAdd_8x24x24
Generating Code For User Kernel:           S38_Conv2d_48x8x1x1_Relu6
Generating Code For User Kernel:           S41_Conv2d_48x1x3x3_Relu6
Generating Code For User Kernel:                S44_Conv2d_16x48x1x1
Generating Code For User Kernel:          S47_Conv2d_96x16x1x1_Relu6
Generating Code For User Kernel:           S50_Conv2d_96x1x3x3_Relu6
Generating Code For User Kernel:                S53_Conv2d_16x96x1x1
Generating Code For User Kernel:                 S54_MatAdd_16x12x12
Generating Code For User Kernel:          S57_Conv2d_96x16x1x1_Relu6
Generating Code For User Kernel:           S60_Conv2d_96x1x3x3_Relu6
Generating Code For User Kernel:                S63_Conv2d_16x96x1x1
Generating Code For User Kernel:                 S64_MatAdd_16x12x12
Generating Code For User Kernel:          S67_Conv2d_96x16x1x1_Relu6
Generating Code For User Kernel:           S70_Conv2d_96x1x3x3_Relu6
Generating Code For User Kernel:                S73_Conv2d_24x96x1x1
Generating Code For User Kernel:         S76_Conv2d_144x24x1x1_Relu6
Generating Code For User Kernel:          S79_Conv2d_144x1x3x3_Relu6
Generating Code For User Kernel:               S82_Conv2d_24x144x1x1
Generating Code For User Kernel:                   S83_MatAdd_24x6x6
Generating Code For User Kernel:         S86_Conv2d_144x24x1x1_Relu6
Generating Code For User Kernel:          S89_Conv2d_144x1x3x3_Relu6
Generating Code For User Kernel:               S92_Conv2d_24x144x1x1
Generating Code For User Kernel:                   S93_MatAdd_24x6x6
Generating Code For User Kernel:         S96_Conv2d_144x24x1x1_Relu6
Generating Code For User Kernel:          S99_Conv2d_144x1x3x3_Relu6
Generating Code For User Kernel:              S102_Conv2d_24x144x1x1
Generating Code For User Kernel:                  S103_MatAdd_24x6x6
Generating Code For User Kernel:        S106_Conv2d_144x24x1x1_Relu6
Generating Code For User Kernel:         S109_Conv2d_144x1x3x3_Relu6
Generating Code For User Kernel:              S112_Conv2d_32x144x1x1
Generating Code For User Kernel:        S115_Conv2d_192x32x1x1_Relu6
Generating Code For User Kernel:         S118_Conv2d_192x1x3x3_Relu6
Generating Code For User Kernel:              S121_Conv2d_32x192x1x1
Generating Code For User Kernel:                  S122_MatAdd_32x6x6
Generating Code For User Kernel:        S125_Conv2d_192x32x1x1_Relu6
Generating Code For User Kernel:         S128_Conv2d_192x1x3x3_Relu6
Generating Code For User Kernel:              S131_Conv2d_32x192x1x1
Generating Code For User Kernel:                  S132_MatAdd_32x6x6
Generating Code For User Kernel:        S135_Conv2d_192x32x1x1_Relu6
Generating Code For User Kernel:         S138_Conv2d_192x1x3x3_Relu6
Generating Code For User Kernel:              S141_Conv2d_56x192x1x1
Generating Code For User Kernel:        S144_Conv2d_336x56x1x1_Relu6
Generating Code For User Kernel:         S147_Conv2d_336x1x3x3_Relu6
Generating Code For User Kernel:              S150_Conv2d_56x336x1x1
Generating Code For User Kernel:                  S151_MatAdd_56x3x3
Generating Code For User Kernel:        S154_Conv2d_336x56x1x1_Relu6
Generating Code For User Kernel:         S157_Conv2d_336x1x3x3_Relu6
Generating Code For User Kernel:              S160_Conv2d_56x336x1x1
Generating Code For User Kernel:                  S161_MatAdd_56x3x3
Generating Code For User Kernel:        S164_Conv2d_336x56x1x1_Relu6
Generating Code For User Kernel:         S167_Conv2d_336x1x3x3_Relu6
Generating Code For User Kernel:             S170_Conv2d_112x336x1x1
Generating Code For User Kernel:      S173_Conv2d_1280x112x1x1_Relu6
Generating Code For User Kernel:              S176_Conv2d_1280x1x3x3
Generating Code For User Kernel:        S179_Conv2d_32x1280x1x1_Relu
Generating Code For User Kernel:                   S180_Op_MEAN_0_72
Generating Code For User Kernel:                    S183_Linear_2x32
Generating Code For User Kernel:                        S184_SoftMax
Flash image classification_L3_Flash_Const.dat (size 485864) for device AT_MEM_L3_HFLASH successfuly generated

      Shared L1 Memory size (Bytes)       : Given:      46736, Used:      46696
             L2 Memory size (Bytes)       : Given:     270000, Used:     270000
       HyperRam Memory size (Bytes)       : Given:    8000000, Used:     461168
     HyperFlash Memory size (Bytes)       : Given:   67108864, Used:     485864

L3 Memory bandwidth for 1 graph run       :     414865 Bytes
L2 Memory bandwidth for 1 graph run       :    1883361 Bytes
Sum of all Kernels arguments size         :    1877793 Bytes
Tiling Bandwith overhead                  :   1.002965 Move/KerArgSize
Sum of baseline bandwidth                 :   18132056 Bytes
Percentage of baseline BW for L2          :    10.3869 %
Percentage of baseline BW for L3          :    2.28802 %
Sum of all Kernels operations             :   11345090 Operations
Total amount of flash coefficients        :     485864 Bytes

Basic kernels library                     : Gap.h
                                          : classification.h
                                          : CNN_BasicKernels_SQ8.h
                                          : ResizeBasicKernels.h
Output Directory                          : BUILD_MODEL_SQ8BIT

The following files have been generated:
	       classificationKernels.c Generated C code for the user kernels and the user kernels groups
	       classificationKernels.h Header file for the generated C code
	classification_L3_Flash_Const.dat Flash content for Graph constants
    CC classification.c
classification.c: In function 'RunNetwork':
classification.c:68:4: warning: pointer targets in passing argument 1 of 'classificationCNN' differ in signedness [-Wpointer-sign]
   (cameraBuffer, Output_1);
    ^~~~~~~~~~~~
In file included from classification.c:32:0:
/tmp/bitcraze/aideck-gap8-examples/examples/ai/classification/BUILD_MODEL_SQ8BIT/classificationKernels.h:535:12: note: expected 'signed char * restrict' but argument is of type 'unsigned char *'
 extern int classificationCNN(
            ^~~~~~~~~~~~~~~~~
    CC com.c
    CC cpx.c
    CC classificationKernels.c
    CC ImgIO.c
/gap_sdk/libs/gap_lib/img_io/ImgIO.c: In function 'ReadImageFromFile':
/gap_sdk/libs/gap_lib/img_io/ImgIO.c:347:5: warning: 'ImageShort' may be used uninitialized in this function [-Wmaybe-uninitialized]
  if (ImageShort){
     ^
    CC SSD_BasicKernels.c
    CC ResizeBasicKernels.c
    CC CNN_Copy.c
    CC CNN_AT_Misc.c
    CC CmplxFunctions.c
    CC MatMulDSP.c
    CC FFT_Library.c
    CC MfccBasicKernels.c
    CC PreProcessing.c
    CC math_funcs.c
    CC plp_cos_f32s_xpulpv2.c
    CC plp_sin_f32s_xpulpv2.c
    CC plp_common_tables.c
    CC CNN_Activation_SQ8.c
    CC CNN_Activation_HWC_SQ8.c
    CC CNN_Bias_Linear_SQ8.c
    CC CNN_Conv_SQ8.c
    CC CNN_MatMul_Conv_SQ8.c
    CC CNN_Pooling_SQ8.c
    CC CNN_Conv_DW_SQ8.c
    CC CNN_Conv_DW_Red_SQ8.c
    CC CNN_MatAlgebra_SQ8.c
    CC CNN_SoftMax_SQ8.c
    CC RNN_SQ8.c
    ASM  gap8_iet.S
    ASM  startup_gap8.S
    ASM  cluster_core.S
    ASM  asm_util.S
    ASM  port_asm.S
    CC  gap8_it.c
    CC  system_gap8.c
    CC  gap_io.c
    CC  stdlib.c
    CC  string.c
    CC  errno.c
    CC  cl_malloc.c
    CC  cl_to_fc_delegate.c
    CC  fc_to_cl_delegate.c
    CC  cl_team.c
    CC  hyperbus_cl_internal.c
    CC  uart_cl_internal.c
    CC  cl_dma_irq.c
    CC  fc_event.c
    CC  fll.c
    CC  gpio.c
    CC  pad.c
    CC  pmu.c
    CC  pmu_internal.c
    CC  pwm.c
    CC  pwm_internal.c
    CC  rtc.c
    CC  rtc_internal.c
    CC  timer.c
    CC  hyperbus.c
    CC  hyperbus_internal.c
    CC  cpi.c
    CC  cpi_internal.c
    CC  dmacpy.c
    CC  dmacpy_internal.c
    CC  i2c.c
    CC  i2c_internal.c
    CC  i2s.c
    CC  i2s_internal.c
    CC  spi.c
    CC  spi_internal.c
    CC  uart.c
    CC  uart_internal.c
    CC  flash.c
    CC  partition.c
    CC  flash_partition.c
    CC  md5.c
    CC  fs.c
    CC  lfs.c
    CC  lfs_util.c
    CC  pi_lfs.c
    CC  read_fs.c
    CC  host_fs.c
    CC  ota.c
    CC  ota_utility.c
    CC  updater.c
    CC  bootloader_utility.c
    CC  ai_deck.c
    CC  camera.c
    CC  himax.c
    CC  hyperflash.c
    CC  hyperram.c
    CC  spiram.c
    CC  spiflash.c
/tmp/cco5eVDS.s: Assembler messages:
/tmp/cco5eVDS.s:2865: Warning: ignoring changed section attributes for .data
    CC  ram.c
    CC  alloc_extern.c
    CC  pi_log.c
    CC  event_kernel.c
    CC  mem_slab.c
    CC  cl_l1_malloc.c
    CC  fc_l1_malloc.c
    CC  l2_malloc.c
    CC  malloc_external.c
    CC  malloc_internal.c
    CC  pi_malloc.c
    CC  device.c
    CC  pmsis_task.c
    CC  pmsis_backend_native_task_api.c
    CC  port.c
    CC  printf.c
    CC  list.c
    CC  queue.c
    CC  tasks.c
    CC  timers.c
    CC  event_groups.c
    CC  stream_buffer.c
    CC  FreeRTOS_util.c
gapy --target=ai_deck --platform=board --work-dir=/tmp/bitcraze/aideck-gap8-examples/examples/ai/classification/BUILD/GAP8_V2/GCC_RISCV_FREERTOS --config-ini=/tmp/bitcraze/aideck-gap8-examples/examples/ai/classification/config.ini  --config-opt=**/flash/content/partitions/readfs/files=/tmp/bitcraze/aideck-gap8-examples/examples/ai/classification/BUILD_MODEL_SQ8BIT/classification_L3_Flash_Const.dat   run --image --binary=/tmp/bitcraze/aideck-gap8-examples/examples/ai/classification/BUILD/GAP8_V2/GCC_RISCV_FREERTOS/classification