Top: epoch extras state_dict arch ------------------------------------- arch: ai85nascifarnet ------------------------------------- extras: {'best epoch': 123456789, 'best_top1': 53.65999937057495, 'clipping_method': 'MAX_BIT_SHIFT', 'current_top1': 53.65999937057495} ------------------------------------- state_dict: conv1 output_shift: [-0.] adjust_output_shift: [0.] quantize_activation: [1.] shift_quantile: [0.985] weight bits: [8.] bias_bits: [8.] bias total # of elements, shape: 16 , [16] # of unique elements: 16 min, max, mean: -1407.0 , 1368.0 , 81.0 weight total # of elements, shape: 432 , [16, 3, 3, 3] # of unique elements: 99 min, max, mean: -77.0 , 81.0 , -0.011574074 conv2 output_shift: [-1.] adjust_output_shift: [0.] quantize_activation: [1.] shift_quantile: [0.985] weight bits: [4.] bias_bits: [8.] bias total # of elements, shape: 20 , [20] # of unique elements: 20 min, max, mean: -577.0 , 551.0 , 124.1 weight total # of elements, shape: 2880 , [20, 16, 3, 3] # of unique elements: 16 min, max, mean: -8.0 , 7.0 , -0.090625 conv3 output_shift: [-1.] adjust_output_shift: [0.] quantize_activation: [1.] shift_quantile: [0.985] weight bits: [2.] bias_bits: [8.] bias total # of elements, shape: 20 , [20] # of unique elements: 19 min, max, mean: -51.0 , 206.0 , 93.85 weight total # of elements, shape: 3600 , [20, 20, 3, 3] # of unique elements: 4 min, max, mean: -2.0 , 1.0 , -0.045 conv4 output_shift: [-1.] adjust_output_shift: [0.] quantize_activation: [1.] shift_quantile: [0.985] weight bits: [2.] bias_bits: [8.] bias total # of elements, shape: 20 , [20] # of unique elements: 19 min, max, mean: -72.0 , 232.0 , 48.45 weight total # of elements, shape: 3600 , [20, 20, 3, 3] # of unique elements: 4 min, max, mean: -2.0 , 1.0 , -0.031666666 conv5 output_shift: [-2.] adjust_output_shift: [0.] quantize_activation: [1.] shift_quantile: [0.985] weight bits: [2.] bias_bits: [8.] bias total # of elements, shape: 20 , [20] # of unique elements: 15 min, max, mean: -256.0 , 255.0 , -5.3 weight total # of elements, shape: 3600 , [20, 20, 3, 3] # of unique elements: 4 min, max, mean: -2.0 , 1.0 , 0.0055555557 conv6 output_shift: [-2.] adjust_output_shift: [0.] quantize_activation: [1.] shift_quantile: [0.985] weight bits: [2.] bias_bits: [8.] bias total # of elements, shape: 20 , [20] # of unique elements: 17 min, max, mean: -256.0 , 255.0 , 81.6 weight total # of elements, shape: 3600 , [20, 20, 3, 3] # of unique elements: 4 min, max, mean: -2.0 , 1.0 , -0.03277778 conv7 output_shift: [-2.] adjust_output_shift: [0.] quantize_activation: [1.] shift_quantile: [0.985] weight bits: [2.] bias_bits: [8.] bias total # of elements, shape: 44 , [44] # of unique elements: 37 min, max, mean: -220.0 , 255.0 , 93.27273 weight total # of elements, shape: 7920 , [44, 20, 3, 3] # of unique elements: 4 min, max, mean: -2.0 , 1.0 , -0.06792929 conv8 output_shift: [-3.] adjust_output_shift: [0.] quantize_activation: [1.] shift_quantile: [0.985] weight bits: [2.] bias_bits: [8.] bias total # of elements, shape: 48 , [48] # of unique elements: 17 min, max, mean: -256.0 , 255.0 , 88.291664 weight total # of elements, shape: 19008 , [48, 44, 3, 3] # of unique elements: 4 min, max, mean: -2.0 , 1.0 , -0.021569865 conv9 output_shift: [-2.] adjust_output_shift: [0.] quantize_activation: [1.] shift_quantile: [0.985] weight bits: [2.] bias_bits: [8.] bias total # of elements, shape: 48 , [48] # of unique elements: 30 min, max, mean: -256.0 , 255.0 , 102.729164 weight total # of elements, shape: 20736 , [48, 48, 3, 3] # of unique elements: 4 min, max, mean: -2.0 , 1.0 , -0.02425733 conv10 output_shift: [-3.] adjust_output_shift: [0.] quantize_activation: [1.] shift_quantile: [0.985] weight bits: [2.] bias_bits: [8.] bias total # of elements, shape: 96 , [96] # of unique elements: 26 min, max, mean: -256.0 , 255.0 , -125.552086 weight total # of elements, shape: 41472 , [96, 48, 3, 3] # of unique elements: 4 min, max, mean: -2.0 , 1.0 , 0.030864198 conv11 output_shift: [-1.] adjust_output_shift: [0.] quantize_activation: [1.] shift_quantile: [0.985] weight bits: [4.] bias_bits: [8.] bias total # of elements, shape: 512 , [512] # of unique elements: 432 min, max, mean: -1024.0 , 1023.0 , 161.24219 [WARNING]: # of unique elements in bias tensor is more than that allowed by bias_bits. This might be OK, since Maxim deployment repository right shifts these. weight total # of elements, shape: 49152 , [512, 96, 1, 1] # of unique elements: 16 min, max, mean: -8.0 , 7.0 , -0.040649414 conv12 output_shift: [-2.] adjust_output_shift: [0.] quantize_activation: [1.] shift_quantile: [0.985] weight bits: [4.] bias_bits: [8.] bias total # of elements, shape: 128 , [128] # of unique elements: 99 min, max, mean: -1024.0 , 1023.0 , 235.99219 weight total # of elements, shape: 65536 , [128, 512, 1, 1] # of unique elements: 16 min, max, mean: -8.0 , 7.0 , -0.012710571 conv13 output_shift: [-2.] adjust_output_shift: [0.] quantize_activation: [1.] shift_quantile: [0.985] weight bits: [4.] bias_bits: [8.] bias total # of elements, shape: 128 , [128] # of unique elements: 113 min, max, mean: -1024.0 , 1023.0 , 212.21094 weight total # of elements, shape: 147456 , [128, 128, 3, 3] # of unique elements: 16 min, max, mean: -8.0 , 7.0 , 0.0015123156 conv14 output_shift: [2.] adjust_output_shift: [0.] quantize_activation: [1.] shift_quantile: [0.985] weight bits: [4.] bias_bits: [8.] bias total # of elements, shape: 100 , [100] # of unique elements: 78 min, max, mean: -152.0 , 129.0 , -2.28 weight total # of elements, shape: 12800 , [100, 128, 1, 1] # of unique elements: 16 min, max, mean: -8.0 , 7.0 , -1.1907812