Neural Network Tools for STM32 v1.2.0 (AI tools v5.0.0) Created date : 2020-05-27 19:21:42

Exec/report summary (generate dur=0.626s err=0)

model file : C:\Users\ESLAB\STM32Cube\Repository\Packs\STMicroelectronics\X-CUBE-AI\5.0.0\scripts\quantization\Quantization_results\10output_minmax_27_May_2020_19_20\10output.h5 type : keras (keras_dump) c_name : asc compression : None quantize : C:\Users\ESLAB\STM32Cube\Repository\Packs\STMicroelectronics\X-CUBE-AI\5.0.0\scripts\quantization\Quantization_results\10output_minmax_27_May_2020_19_20\10output_Q.json L2r error : NOT EVALUATED workspace dir : C:\Users\ESLAB\STM32Cube\Repository\Packs\STMicroelectronics\X-CUBE-AI\5.0.0\scripts\quantization\Quantization_results\10output_minmax_27_May_2020_19_20\stm32ai_ws output dir : C:\Users\ESLAB\STM32Cube\Repository\Packs\STMicroelectronics\X-CUBE-AI\5.0.0\scripts\quantization\Quantization_results\10output_minmax_27_May_2020_19_20\stm32ai_output

model_name : output model_hash : a20b707b0e6dd7f0da25e13fb69e79b7 input : quantize_input_1 [960 items, 960 B, ai_i8, scale=0.0012302960835251153, zero=127, (30, 32, 1)] input (total) : 960 B output : activation_2 [10 items, 40 B, ai_float, FLOAT32, (10,)] output (total) : 40 B params # : 19,560 items (76.41 KiB) macc : 263,820 weights (ro) : 20,364 (19.89 KiB) (-73.97%) activations (rw) : 8,872 (8.66 KiB) ram (total) : 9,872 (9.64 KiB) = 8,872 + 960 + 40

id layer (type) output shape param # connected to macc rom

0 quantize_input_1 (Input) (30, 32, 1)

1 quantize_conv0 (Conv2D) (15, 16, 24) 624 quantize_input_1 144,024 696

2 quantize_conv0_relu (Nonlinearity) (15, 16, 24) quantize_conv0

3 quantize_quantize_conv1_ds_dw (Conv2D) (8, 8, 24) 600 quantize_conv0_relu 38,400 696

4 quantize_quantize_conv1_ds_pw (Conv2D) (8, 8, 36) 900 quantize_quantize_conv1_ 55,332 1,008

5 quantize_conv1_ds_relu (Nonlinearity) (8, 8, 36) quantize_quantize_conv1_

6 quantize_quantize_conv2_ds_dw (Conv2D) (2, 2, 36) 900 quantize_conv1_ds_relu 3,600 1,044

7 quantize_quantize_conv2_ds_pw (Conv2D) (2, 2, 54) 1,998 quantize_quantize_conv2_ 7,830 2,160

8 quantize_conv2_ds_relu (Nonlinearity) (2, 2, 54) quantize_quantize_conv2_

9 flatten_1 (Reshape) (216,) quantize_conv2_ds_relu

11 quantize_dense_1 (Dense) (64,) 13,888 flatten_1 13,824 14,080

12 quantize_activation_1 (Nonlinearity) (64,) quantize_dense_1

14 quantize_dense_2 (Dense) (10,) 650 quantize_activation_1 660 680

15 activation_2 (Nonlinearity) (10,) quantize_dense_2 150