Top: epoch extras state_dict arch ------------------------------------- arch: ai85nascifarnet ------------------------------------- extras: None ------------------------------------- state_dict: conv1_1 output_shift: [-0.] adjust_output_shift: [1.] quantize_activation: [1.] shift_quantile: [0.995] weight bits: [8.] bias_bits: [8.] bias total # of elements, shape: 64 , [64] # of unique elements: 64 min, max, mean: -0.09569145 , 0.11176931 , 0.0023545348 weight total # of elements, shape: 1728 , [64, 3, 3, 3] # of unique elements: 1728 min, max, mean: -0.82078534 , 0.8478423 , -0.0009090822 conv1_2 output_shift: [-1.] adjust_output_shift: [1.] quantize_activation: [1.] shift_quantile: [0.995] weight bits: [8.] bias_bits: [8.] bias total # of elements, shape: 32 , [32] # of unique elements: 32 min, max, mean: -0.47243807 , 0.23804682 , 0.11067512 weight total # of elements, shape: 2048 , [32, 64, 1, 1] # of unique elements: 2048 min, max, mean: -0.6935298 , 0.5647582 , -0.020792957 conv1_3 output_shift: [-1.] adjust_output_shift: [1.] quantize_activation: [1.] shift_quantile: [0.995] weight bits: [8.] bias_bits: [8.] bias total # of elements, shape: 64 , [64] # of unique elements: 64 min, max, mean: -0.23467612 , 0.58637875 , 0.097503155 weight total # of elements, shape: 18432 , [64, 32, 3, 3] # of unique elements: 18429 min, max, mean: -0.4526815 , 0.4040971 , -0.004771175 conv2_1 output_shift: [-3.] adjust_output_shift: [1.] quantize_activation: [1.] shift_quantile: [0.995] weight bits: [8.] bias_bits: [8.] bias total # of elements, shape: 32 , [32] # of unique elements: 32 min, max, mean: -0.39697582 , 0.48210716 , 0.027005818 weight total # of elements, shape: 18432 , [32, 64, 3, 3] # of unique elements: 18430 min, max, mean: -0.2135905 , 0.15751368 , 0.00010535153 conv2_2 output_shift: [-0.] adjust_output_shift: [1.] quantize_activation: [1.] shift_quantile: [0.995] weight bits: [8.] bias_bits: [8.] bias total # of elements, shape: 64 , [64] # of unique elements: 64 min, max, mean: -0.22709861 , 0.6962397 , 0.0588381 weight total # of elements, shape: 2048 , [64, 32, 1, 1] # of unique elements: 2048 min, max, mean: -1.1051985 , 1.338855 , -0.01851481 conv3_1 output_shift: [-3.] adjust_output_shift: [1.] quantize_activation: [1.] shift_quantile: [0.995] weight bits: [8.] bias_bits: [8.] bias total # of elements, shape: 128 , [128] # of unique elements: 128 min, max, mean: -0.6500221 , 0.7398894 , 0.050455317 weight total # of elements, shape: 73728 , [128, 64, 3, 3] # of unique elements: 73688 min, max, mean: -0.17812 , 0.18307836 , -0.00030776308 conv3_2 output_shift: [-1.] adjust_output_shift: [1.] quantize_activation: [1.] shift_quantile: [0.995] weight bits: [8.] bias_bits: [8.] bias total # of elements, shape: 128 , [128] # of unique elements: 128 min, max, mean: -0.31943882 , 0.59705323 , 0.15301093 weight total # of elements, shape: 16384 , [128, 128, 1, 1] # of unique elements: 16381 min, max, mean: -0.5597776 , 0.6652047 , -0.01194022 conv4_1 output_shift: [-3.] adjust_output_shift: [1.] quantize_activation: [1.] shift_quantile: [0.995] weight bits: [8.] bias_bits: [8.] bias total # of elements, shape: 64 , [64] # of unique elements: 64 min, max, mean: -0.6996244 , 1.0072677 , -0.068444364 weight total # of elements, shape: 73728 , [64, 128, 3, 3] # of unique elements: 73693 min, max, mean: -0.12233131 , 0.15938132 , 0.00032919308 conv4_2 output_shift: [-2.] adjust_output_shift: [1.] quantize_activation: [1.] shift_quantile: [0.995] weight bits: [8.] bias_bits: [8.] bias total # of elements, shape: 128 , [128] # of unique elements: 128 min, max, mean: -0.24322651 , 0.2781469 , 0.05461803 weight total # of elements, shape: 73728 , [128, 64, 3, 3] # of unique elements: 73706 min, max, mean: -0.27082616 , 0.2800041 , -0.00041949743 conv5_1 output_shift: [-1.] adjust_output_shift: [1.] quantize_activation: [1.] shift_quantile: [0.995] weight bits: [8.] bias_bits: [8.] bias total # of elements, shape: 128 , [128] # of unique elements: 128 min, max, mean: -0.30457166 , 0.6364847 , 0.100854084 weight total # of elements, shape: 16384 , [128, 128, 1, 1] # of unique elements: 16381 min, max, mean: -0.4237072 , 0.58368826 , 0.00083749543 fc output_shift: [1.] adjust_output_shift: [1.] quantize_activation: [1.] shift_quantile: [0.995] weight bits: [8.] bias_bits: [8.] bias total # of elements, shape: 100 , [100] # of unique elements: 100 min, max, mean: -0.21204573 , 0.16882493 , -0.00033210413 weight total # of elements, shape: 51200 , [100, 512] # of unique elements: 51184 min, max, mean: -2.0832171 , 1.7930893 , -0.15969671