Top: epoch extras state_dict arch ------------------------------------- arch: ai85nascifarnet ------------------------------------- extras: None ------------------------------------- state_dict: conv1 output_shift: [-0.] adjust_output_shift: [1.] 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: -0.08590559 , 0.0834875 , 0.0049372935 weight total # of elements, shape: 432 , [16, 3, 3, 3] # of unique elements: 432 min, max, mean: -0.6041579 , 0.6299337 , -0.0001223148 conv2 output_shift: [-1.] adjust_output_shift: [1.] 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: -0.28180933 , 0.2689574 , 0.060624152 weight total # of elements, shape: 2880 , [20, 16, 3, 3] # of unique elements: 2880 min, max, mean: -0.6084496 , 0.5516144 , -0.0053155622 conv3 output_shift: [-1.] adjust_output_shift: [1.] quantize_activation: [1.] shift_quantile: [0.985] weight bits: [2.] bias_bits: [8.] bias total # of elements, shape: 20 , [20] # of unique elements: 20 min, max, mean: -0.10017363 , 0.40167764 , 0.18330546 weight total # of elements, shape: 3600 , [20, 20, 3, 3] # of unique elements: 3599 min, max, mean: -0.55548435 , 0.40462005 , -0.012197269 conv4 output_shift: [-1.] adjust_output_shift: [1.] quantize_activation: [1.] shift_quantile: [0.985] weight bits: [2.] bias_bits: [8.] bias total # of elements, shape: 20 , [20] # of unique elements: 20 min, max, mean: -0.14059089 , 0.4525638 , 0.09453481 weight total # of elements, shape: 3600 , [20, 20, 3, 3] # of unique elements: 3600 min, max, mean: -0.4925906 , 0.34693444 , -0.009273671 conv5 output_shift: [-2.] adjust_output_shift: [1.] quantize_activation: [1.] shift_quantile: [0.985] weight bits: [2.] bias_bits: [8.] bias total # of elements, shape: 20 , [20] # of unique elements: 20 min, max, mean: -0.49907166 , 0.47305846 , -0.002226038 weight total # of elements, shape: 3600 , [20, 20, 3, 3] # of unique elements: 3600 min, max, mean: -0.38474175 , 0.445418 , 0.0020036458 conv6 output_shift: [-2.] adjust_output_shift: [1.] quantize_activation: [1.] shift_quantile: [0.985] weight bits: [2.] bias_bits: [8.] bias total # of elements, shape: 20 , [20] # of unique elements: 20 min, max, mean: -0.269071 , 0.3368378 , 0.087997034 weight total # of elements, shape: 3600 , [20, 20, 3, 3] # of unique elements: 3600 min, max, mean: -0.4536345 , 0.4365145 , -0.0017370804 conv7 output_shift: [-2.] adjust_output_shift: [1.] quantize_activation: [1.] shift_quantile: [0.985] weight bits: [2.] bias_bits: [8.] bias total # of elements, shape: 44 , [44] # of unique elements: 44 min, max, mean: -0.21474119 , 0.4481558 , 0.10638161 weight total # of elements, shape: 7920 , [44, 20, 3, 3] # of unique elements: 7920 min, max, mean: -0.36363983 , 0.37674007 , -0.0059674215 conv8 output_shift: [-3.] adjust_output_shift: [1.] quantize_activation: [1.] shift_quantile: [0.985] weight bits: [2.] bias_bits: [8.] bias total # of elements, shape: 48 , [48] # of unique elements: 48 min, max, mean: -0.4592532 , 0.73961246 , 0.12518513 weight total # of elements, shape: 19008 , [48, 44, 3, 3] # of unique elements: 19007 min, max, mean: -0.19524875 , 0.20283978 , -0.00013639091 conv9 output_shift: [-2.] adjust_output_shift: [1.] quantize_activation: [1.] shift_quantile: [0.985] weight bits: [2.] bias_bits: [8.] bias total # of elements, shape: 48 , [48] # of unique elements: 48 min, max, mean: -0.5065948 , 0.6203854 , 0.132932 weight total # of elements, shape: 20736 , [48, 48, 3, 3] # of unique elements: 20731 min, max, mean: -0.31671003 , 0.28223878 , -0.0026333057 conv10 output_shift: [-3.] adjust_output_shift: [1.] quantize_activation: [1.] shift_quantile: [0.985] weight bits: [2.] bias_bits: [8.] bias total # of elements, shape: 96 , [96] # of unique elements: 96 min, max, mean: -0.48270226 , 0.6064789 , -0.12257254 weight total # of elements, shape: 41472 , [96, 48, 3, 3] # of unique elements: 41456 min, max, mean: -0.206253 , 0.21709208 , 0.00348483 conv11 output_shift: [-1.] adjust_output_shift: [1.] quantize_activation: [1.] shift_quantile: [0.985] weight bits: [4.] bias_bits: [8.] bias total # of elements, shape: 512 , [512] # of unique elements: 512 min, max, mean: -0.75687575 , 0.76118356 , 0.081021115 weight total # of elements, shape: 49152 , [512, 96, 1, 1] # of unique elements: 49129 min, max, mean: -0.5242623 , 0.537267 , -0.002486636 conv12 output_shift: [-2.] adjust_output_shift: [1.] quantize_activation: [1.] shift_quantile: [0.985] weight bits: [4.] bias_bits: [8.] bias total # of elements, shape: 128 , [128] # of unique elements: 128 min, max, mean: -0.36233884 , 0.36437505 , 0.0642186 weight total # of elements, shape: 65536 , [128, 512, 1, 1] # of unique elements: 65509 min, max, mean: -0.36360282 , 0.29257432 , -0.00038944746 conv13 output_shift: [-2.] adjust_output_shift: [1.] quantize_activation: [1.] shift_quantile: [0.985] weight bits: [4.] bias_bits: [8.] bias total # of elements, shape: 128 , [128] # of unique elements: 128 min, max, mean: -0.25512248 , 0.4903532 , 0.06255462 weight total # of elements, shape: 147456 , [128, 128, 3, 3] # of unique elements: 147305 min, max, mean: -0.4534711 , 0.7435867 , 0.00025575177 conv14 output_shift: [2.] adjust_output_shift: [1.] quantize_activation: [1.] shift_quantile: [0.985] weight bits: [4.] bias_bits: [8.] bias total # of elements, shape: 100 , [100] # of unique elements: 100 min, max, mean: -0.59363127 , 0.5039009 , -0.008943005 weight total # of elements, shape: 12800 , [100, 128, 1, 1] # of unique elements: 12800 min, max, mean: -5.000554 , 3.3605664 , -0.5948116