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temp

时间:2023-03-13 11:12:33浏览次数:39  
标签:02 03 01 temp 04 cuda device

/home/mmsys/anaconda3/envs/SCI/bin/python /media/mmsys/6f1091c9-4ed8-4a10-a03d-2acef144d2e1/SXY/SCI-main/EXP/Train-20230311-105110/model_epochs/view_pt.py
enhance.in_conv.0.weight tensor([[[[-1.0979e-03, -3.8020e-03, -1.5568e-03],
          [ 2.2893e-03, -1.0955e-01,  1.5516e-02],
          [-2.7895e-03,  1.3123e-03,  1.7491e-03]],

         [[-2.0391e-03,  8.0965e-03, -2.1207e-03],
          [-1.7733e-02,  1.0673e-01, -5.0369e-03],
          [-1.0088e-02, -3.3945e-03, -2.1126e-03]],

         [[-1.9053e-03,  6.5779e-03, -1.5949e-03],
          [-1.1828e-03,  5.6358e-02, -6.4623e-03],
          [ 5.7004e-03, -1.3176e-03, -1.1731e-03]]],


        [[[ 4.0378e-03, -2.7422e-02,  7.9290e-04],
          [-1.5025e-03,  3.9957e-02, -1.5273e-02],
          [ 1.8042e-03,  1.7999e-03,  3.0276e-05]],

         [[-2.0560e-03,  1.3918e-02, -5.5580e-03],
          [-2.9834e-03,  1.0644e-01,  2.1303e-03],
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         [[ 1.9241e-03,  7.0269e-04, -1.2324e-03],
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        [[[-5.3918e-03, -4.0283e-03, -1.0363e-02],
          [ 4.8968e-03,  8.9694e-02, -1.0696e-02],
          [ 3.2775e-03,  7.1470e-04, -5.5993e-03]],

         [[ 3.1485e-03, -1.6846e-03,  2.4225e-03],
          [-8.0078e-03,  4.7740e-02,  2.5317e-03],
          [ 2.3672e-02, -2.2102e-02, -4.9186e-04]],

         [[-3.2585e-03, -2.2389e-03,  3.1492e-04],
          [-4.0825e-03,  8.7063e-02, -5.5171e-03],
          [-1.1080e-02, -2.7488e-04, -1.9871e-03]]]], device='cuda:0')
enhance.in_conv.0.bias tensor([0.0266, 0.0250, 0.0301], device='cuda:0')
enhance.conv.0.weight tensor([[[[-4.6056e-03, -6.8857e-03,  2.2193e-02],
          [ 1.6403e-02,  7.7220e-02, -2.8360e-02],
          [-4.8778e-03,  1.5011e-02,  3.1741e-03]],

         [[-9.3941e-03, -6.8537e-03, -6.0745e-03],
          [ 1.8382e-02,  2.3583e-01, -1.5405e-02],
          [-1.1204e-02,  4.7977e-03,  3.3681e-04]],

         [[-8.2224e-03,  4.6846e-02, -1.0821e-02],
          [ 9.3980e-03, -1.2978e-02,  3.2394e-02],
          [-1.3696e-03, -4.1955e-03,  3.2745e-03]]],


        [[[ 8.5838e-04, -1.0800e-02,  3.1537e-03],
          [-2.9749e-03,  6.1939e-02,  5.1941e-02],
          [ 3.8495e-03, -1.0889e-02, -4.0688e-03]],

         [[ 5.1882e-04,  4.1897e-04,  1.7609e-03],
          [-1.2031e-02, -6.7554e-03, -3.4189e-02],
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         [[ 3.8143e-03,  2.2062e-04, -1.9524e-03],
          [-2.7324e-03,  7.9978e-02, -1.5257e-02],
          [ 9.6503e-04,  1.1482e-02,  5.0689e-03]]],


        [[[ 1.3735e-03, -6.4987e-04, -1.9856e-02],
          [-3.8656e-03,  2.4012e-02, -1.3447e-01],
          [ 4.6287e-03, -3.8679e-03,  1.3326e-02]],

         [[ 2.4523e-05,  6.4100e-04,  3.7183e-04],
          [-1.0110e-02, -3.2665e-02,  3.7977e-02],
          [ 3.6029e-03, -9.7189e-03,  1.3477e-03]],

         [[ 2.2125e-03, -1.1723e-03,  9.2210e-03],
          [-3.1804e-03,  4.1204e-02,  6.9647e-02],
          [ 1.9097e-03,  8.7036e-04, -7.2439e-03]]]], device='cuda:0')
enhance.conv.0.bias tensor([-0.0043,  0.0028,  0.0031], device='cuda:0')
enhance.conv.1.weight tensor([0.5496, 0.8964, 0.8549], device='cuda:0')
enhance.conv.1.bias tensor([0.7374, 0.9876, 0.7906], device='cuda:0')
enhance.conv.1.running_mean tensor([0.0060, 0.0063, 0.0040], device='cuda:0')
enhance.conv.1.running_var tensor([6.9036e-07, 5.7974e-07, 6.8299e-07], device='cuda:0')
enhance.conv.1.num_batches_tracked tensor(1372500, device='cuda:0')
enhance.blocks.0.0.weight tensor([[[[-4.6056e-03, -6.8857e-03,  2.2193e-02],
          [ 1.6403e-02,  7.7220e-02, -2.8360e-02],
          [-4.8778e-03,  1.5011e-02,  3.1741e-03]],

         [[-9.3941e-03, -6.8537e-03, -6.0745e-03],
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          [-1.1204e-02,  4.7977e-03,  3.3681e-04]],

         [[-8.2224e-03,  4.6846e-02, -1.0821e-02],
          [ 9.3980e-03, -1.2978e-02,  3.2394e-02],
          [-1.3696e-03, -4.1955e-03,  3.2745e-03]]],


        [[[ 8.5838e-04, -1.0800e-02,  3.1537e-03],
          [-2.9749e-03,  6.1939e-02,  5.1941e-02],
          [ 3.8495e-03, -1.0889e-02, -4.0688e-03]],

         [[ 5.1882e-04,  4.1897e-04,  1.7609e-03],
          [-1.2031e-02, -6.7554e-03, -3.4189e-02],
          [ 2.3233e-03, -1.8383e-02,  1.9183e-04]],

         [[ 3.8143e-03,  2.2062e-04, -1.9524e-03],
          [-2.7324e-03,  7.9978e-02, -1.5257e-02],
          [ 9.6503e-04,  1.1482e-02,  5.0689e-03]]],


        [[[ 1.3735e-03, -6.4987e-04, -1.9856e-02],
          [-3.8656e-03,  2.4012e-02, -1.3447e-01],
          [ 4.6287e-03, -3.8679e-03,  1.3326e-02]],

         [[ 2.4523e-05,  6.4100e-04,  3.7183e-04],
          [-1.0110e-02, -3.2665e-02,  3.7977e-02],
          [ 3.6029e-03, -9.7189e-03,  1.3477e-03]],

         [[ 2.2125e-03, -1.1723e-03,  9.2210e-03],
          [-3.1804e-03,  4.1204e-02,  6.9647e-02],
          [ 1.9097e-03,  8.7036e-04, -7.2439e-03]]]], device='cuda:0')
enhance.blocks.0.0.bias tensor([-0.0043,  0.0028,  0.0031], device='cuda:0')
enhance.blocks.0.1.weight tensor([0.5496, 0.8964, 0.8549], device='cuda:0')
enhance.blocks.0.1.bias tensor([0.7374, 0.9876, 0.7906], device='cuda:0')
enhance.blocks.0.1.running_mean tensor([0.0060, 0.0063, 0.0040], device='cuda:0')
enhance.blocks.0.1.running_var tensor([6.9036e-07, 5.7974e-07, 6.8299e-07], device='cuda:0')
enhance.blocks.0.1.num_batches_tracked tensor(1372500, device='cuda:0')
enhance.out_conv.0.weight tensor([[[[ 2.2772e-02, -3.6182e-02, -1.9455e-02],
          [-1.8472e-01, -7.9908e-02, -6.5887e-02],
          [ 1.9142e-01, -7.0682e-02, -7.6931e-03]],

         [[ 3.5824e-02, -9.3129e-02,  9.9171e-03],
          [ 4.3437e-01, -4.7541e-01,  3.4723e-02],
          [ 9.0833e-02, -6.1251e-02,  1.7544e-03]],

         [[ 9.7901e-02, -5.6404e-02, -1.2992e-02],
          [-8.7722e-01, -3.5250e-01, -7.4881e-03],
          [-3.2506e-02, -6.3446e-02, -9.6162e-03]]],


        [[[-1.0094e-02, -2.6533e-02, -4.8502e-03],
          [-9.0097e-02, -7.3253e-01, -1.7731e-01],
          [ 4.2352e-02, -1.2402e-01, -3.8982e-03]],

         [[ 3.4911e-02,  1.4216e-01, -8.9341e-03],
          [-4.1624e-02, -7.9152e-01,  1.2729e-01],
          [ 2.6283e-02, -1.9652e-02,  7.9149e-03]],

         [[-1.9091e-02, -4.0737e-02, -3.9573e-02],
          [-1.3232e-02, -2.7496e-01,  6.1272e-02],
          [ 4.4982e-02, -3.4438e-03,  5.6348e-04]]],


        [[[ 2.5660e-02, -1.4287e-03, -1.1889e-02],
          [-1.6478e-01,  4.9331e-01, -2.9152e-02],
          [ 1.1547e-01, -2.7905e-01, -2.5301e-02]],

         [[ 2.1292e-02, -1.7785e-01,  2.5439e-02],
          [-2.3553e-01, -9.8414e-01, -3.0700e-02],
          [ 4.3557e-02, -6.9349e-02,  2.0382e-02]],

         [[ 6.0974e-02, -1.6279e-02, -1.0147e-04],
          [-3.4123e-03, -4.3565e-01, -3.5046e-03],
          [ 1.0198e-01, -1.4190e-02,  7.2981e-03]]]], device='cuda:0')
enhance.out_conv.0.bias tensor([-0.2938,  0.0403, -0.0132], device='cuda:0')
calibrate.in_conv.0.weight tensor([[[[ 6.7584e-02,  4.8742e-01,  1.4589e-02],
          [ 6.4954e-02,  1.5912e-01,  2.1191e-02],
          [-7.4252e-04,  5.2468e-03, -8.4164e-03]],

         [[-7.1152e-02,  1.1347e-02, -8.6288e-02],
          [-5.2816e-02, -9.2369e-02, -4.9224e-02],
          [ 9.5281e-03,  1.4299e-03,  5.3350e-03]],

         [[-2.0130e-02,  5.8017e-03,  1.6394e-02],
          [ 1.5316e-02, -5.2233e-02,  3.6981e-02],
          [-2.9987e-04, -2.1224e-03,  5.9412e-03]]],


        [[[-1.5463e-03,  9.7896e-04,  2.9306e-04],
          [ 2.1239e-02, -2.9780e-04, -6.7208e-04],
          [ 1.7299e-01,  2.0934e-02,  2.0808e-03]],

         [[ 7.0395e-03,  4.8911e-03,  1.7511e-03],
          [ 6.6148e-03, -6.9288e-03,  1.0036e-02],
          [ 1.7223e-01,  1.5854e-02,  1.9376e-02]],

         [[-1.0420e-02, -6.5752e-03,  1.7073e-03],
          [-5.5092e-02, -3.5381e-02, -1.1911e-02],
          [ 3.6510e-02, -6.1184e-02, -2.4241e-02]]],


        [[[-3.7357e-03, -3.7830e-02, -1.7813e-02],
          [-2.2413e-02,  2.2011e-01, -3.3153e-02],
          [-4.8830e-03, -6.2808e-02, -2.1499e-02]],

         [[-1.8144e-02,  1.7190e-02, -1.1673e-02],
          [ 3.3179e-02,  3.7164e-01,  4.0513e-02],
          [-8.0638e-04,  3.1391e-02,  1.2353e-02]],

         [[ 9.6306e-03, -6.0141e-03, -6.9448e-03],
          [-4.9835e-02,  2.6729e-01, -1.6863e-02],
          [-2.1287e-02, -1.9621e-02, -1.2480e-02]]],


        [[[ 2.3353e-02, -8.7740e-02,  3.4095e-02],
          [-8.4552e-02, -3.3732e-01, -7.5959e-02],
          [ 3.5111e-02, -7.8253e-02,  5.3274e-02]],

         [[-1.2375e-02,  3.9045e-02, -5.1116e-03],
          [ 4.0516e-02,  6.4059e-02,  4.0813e-02],
          [-1.8472e-02,  3.7653e-02, -1.0701e-02]],

         [[-2.6485e-02,  5.2094e-02, -4.6427e-02],
          [ 5.1550e-02,  1.4772e-01,  4.2067e-02],
          [-3.4280e-02,  4.7718e-02, -4.7774e-02]]],


        [[[-3.0090e-02, -6.2104e-03, -2.5358e-02],
          [-2.6358e-02,  2.7185e-01, -1.9883e-02],
          [-2.4391e-02, -2.5256e-02, -1.3385e-02]],

         [[ 2.5048e-02, -8.2188e-03,  1.9828e-02],
          [ 9.1977e-03, -3.6616e-01,  8.6630e-03],
          [ 2.2548e-02,  2.0058e-02,  1.3138e-02]],

         [[ 3.6544e-03,  8.4042e-03,  2.7912e-03],
          [ 1.3140e-02,  7.1096e-02,  9.1896e-03],
          [ 4.9469e-04,  3.4880e-03,  2.5571e-04]]],


        [[[-5.7031e-03,  8.9981e-02, -1.0655e-02],
          [ 8.9310e-02,  2.6911e-01,  1.2746e-01],
          [-2.8305e-02,  1.0910e-01, -1.0665e-02]],

         [[-2.1587e-02, -5.2169e-02, -5.5751e-02],
          [-3.0677e-02, -5.6233e-02, -5.5249e-02],
          [-3.3071e-02, -4.8517e-02, -4.7971e-02]],

         [[ 9.2527e-03, -3.9659e-02,  7.8115e-03],
          [-5.8676e-02, -1.8105e-01, -5.5843e-02],
          [ 9.0614e-03, -5.9750e-02, -2.3779e-03]]],


        [[[-3.2413e-03,  4.2535e-02,  3.8103e-03],
          [ 4.8257e-02, -1.9524e-01,  3.4262e-02],
          [-9.7610e-05,  5.0835e-02, -3.1904e-03]],

         [[ 2.6034e-03, -7.0408e-03,  7.7707e-03],
          [-1.7303e-02, -3.1662e-01, -2.3899e-02],
          [ 2.3520e-03, -3.7273e-02, -3.4840e-03]],

         [[ 1.9559e-03, -1.4031e-02,  6.9892e-03],
          [-2.5222e-03, -1.4194e-01, -2.7033e-03],
          [ 1.6702e-02,  9.7621e-03,  1.8272e-02]]],


        [[[-1.4787e-04, -1.2574e-03, -6.5931e-04],
          [-2.5770e-03,  1.3635e-02, -1.7022e-03],
          [-4.8907e-04, -4.6271e-03,  3.0437e-04]],

         [[ 2.5676e-03, -2.6034e-03,  1.8653e-04],
          [-1.0402e-03,  2.7002e-02, -6.0398e-05],
          [ 1.9946e-03,  8.4806e-04,  1.6689e-03]],

         [[-4.2349e-04,  2.6070e-03, -2.1749e-05],
          [ 6.4808e-04,  4.1351e-03,  6.2823e-04],
          [-1.7165e-03,  2.7413e-03, -1.8906e-03]]],


        [[[ 8.5148e-03, -1.3220e-02, -2.4102e-02],
          [-2.3658e-03, -5.1874e-02,  1.1784e-01],
          [ 1.2159e-02, -1.5366e-02, -5.4390e-02]],

         [[ 3.4442e-03,  5.1544e-04, -1.0731e-02],
          [ 2.5227e-03, -9.3819e-03,  1.5609e-01],
          [-2.0412e-03,  8.3237e-03, -2.0250e-02]],

         [[-1.3481e-02,  2.2078e-02,  2.0246e-02],
          [-5.8478e-03,  6.9011e-02,  3.5608e-01],
          [-4.1491e-03,  3.0556e-02,  4.6676e-02]]],


        [[[-2.5755e-02, -1.9772e-02, -2.3070e-02],
          [-2.6109e-02,  1.4844e-01, -2.4687e-02],
          [-1.9761e-02, -1.5459e-02, -1.8730e-02]],

         [[-7.1842e-04, -1.3504e-02, -3.7961e-03],
          [-9.4644e-03,  1.4086e-01, -1.2189e-02],
          [-3.7418e-03, -1.7030e-02, -1.9925e-03]],

         [[ 2.2357e-02,  3.2152e-02,  2.4248e-02],
          [ 3.3941e-02, -3.1374e-01,  3.5772e-02],
          [ 1.8036e-02,  2.9643e-02,  1.8228e-02]]],


        [[[-5.0695e-02,  2.0096e-01,  1.1183e-02],
          [-3.1528e-02,  3.9594e-02,  1.4889e-02],
          [-6.5835e-03,  1.2861e-03,  2.4750e-03]],

         [[ 2.3103e-02,  2.7597e-01,  3.7245e-02],
          [-3.5624e-02, -1.8736e-02, -2.5406e-02],
          [-1.3938e-02, -1.9719e-02, -4.3699e-02]],

         [[-1.7660e-02,  2.2444e-01,  3.0145e-02],
          [-5.2018e-03,  1.0195e-02,  1.2396e-02],
          [ 4.1619e-02,  3.6763e-02,  1.0286e-02]]],


        [[[ 2.5159e-02, -1.2904e-02, -7.1097e-03],
          [-5.4751e-03,  2.8903e-02, -1.7171e-02],
          [-7.1411e-03,  1.2672e-02, -8.2916e-03]],

         [[-1.4774e-02, -8.0099e-02, -7.6650e-03],
          [-8.4251e-03,  4.7181e-02,  1.1759e-03],
          [-5.6529e-03, -9.7127e-03, -2.8241e-03]],

         [[-1.4175e-02, -4.2892e-01,  1.6678e-02],
          [ 1.5470e-03, -5.5853e-02,  1.2992e-02],
          [ 9.9840e-03, -1.7097e-03,  7.8682e-03]]],


        [[[ 4.0939e-02,  2.7496e-02,  3.5110e-02],
          [ 3.8459e-02, -4.8897e-01,  4.5976e-02],
          [ 5.1017e-02,  4.2377e-02,  5.9045e-02]],

         [[-2.9099e-02,  2.1657e-02, -1.7418e-02],
          [-8.4293e-03, -3.0035e-01, -5.6436e-04],
          [-3.7856e-02, -1.2206e-02, -2.9058e-02]],

         [[-1.2459e-02,  3.7118e-02, -1.1827e-02],
          [ 3.6837e-03,  3.9458e-02,  9.1208e-03],
          [-1.3052e-02,  1.5497e-03, -1.9853e-02]]],


        [[[-7.3222e-02, -5.0245e-02, -4.9454e-02],
          [-8.8284e-02, -3.1330e-02, -4.6678e-02],
          [-8.6870e-02, -4.7124e-02, -5.0329e-02]],

         [[-3.4494e-02, -2.8660e-02, -2.6588e-02],
          [-4.4086e-02, -6.1465e-03, -2.3455e-02],
          [-1.6632e-02,  8.3326e-03,  6.2642e-03]],

         [[ 1.3221e-03,  4.9001e-02, -1.3914e-02],
          [-2.9434e-02,  1.2646e-02, -3.8585e-02],
          [ 5.7153e-03,  2.9652e-02,  7.8728e-03]]],


        [[[-6.5853e-03,  4.7467e-03, -9.5314e-04],
          [ 9.2352e-03,  2.4618e-01,  1.3103e-03],
          [ 2.9814e-03,  4.7090e-03, -8.6626e-03]],

         [[ 1.6238e-02,  3.6669e-02,  7.3562e-03],
          [ 2.3052e-02,  2.9484e-01,  1.9619e-02],
          [ 1.7198e-02,  2.6505e-02, -8.6952e-03]],

         [[-1.6993e-02, -2.4694e-02, -9.1923e-03],
          [-3.7317e-02,  2.1684e-01, -1.2487e-02],
          [-5.1440e-02, -4.9398e-02, -1.4337e-02]]],


        [[[-4.2914e-03,  1.7320e-02,  8.5243e-03],
          [ 2.9436e-03, -6.7641e-02,  5.2862e-03],
          [-3.2409e-02, -1.3857e-02, -3.9496e-02]],

         [[-5.3594e-03,  1.9675e-02,  9.1257e-03],
          [-5.5846e-03, -7.0610e-02,  1.5533e-02],
          [-6.0312e-02, -2.0708e-02, -4.5326e-02]],

         [[ 1.4146e-02, -2.9502e-02, -3.2326e-03],
          [-6.8336e-03, -2.3962e-01, -4.6001e-02],
          [ 4.8512e-02, -6.7451e-03,  1.0805e-02]]]], device='cuda:0')
calibrate.in_conv.0.bias tensor([ 2.8895e-04,  5.5437e-05, -2.5644e-04, -2.0794e-04, -9.0651e-05,
        -1.1244e-05, -1.4723e-04,  9.2278e-04, -2.8814e-04,  1.8681e-04,
        -3.7368e-05, -1.1145e-04, -8.7165e-05,  2.3385e-05, -2.7013e-04,
        -5.4778e-06], device='cuda:0')
calibrate.in_conv.1.weight tensor([0.2877, 0.1455, 0.4026, 0.2803, 0.1793, 0.1819, 0.6028, 1.1153, 0.3804,
        0.1422, 0.2664, 0.6348, 0.3343, 0.1876, 0.4931, 0.4580],
       device='cuda:0')
calibrate.in_conv.1.bias tensor([ 0.4431, -0.2900,  0.0426,  0.3524,  0.5370,  0.3994, -0.0702,  0.1460,
        -0.0647,  0.5347, -0.5937,  0.1074,  0.8310,  0.0276, -0.6840, -0.2814],
       device='cuda:0')
calibrate.in_conv.1.running_mean tensor([ 0.1408,  0.0754,  0.1576, -0.0527, -0.0086, -0.0172, -0.1302,  0.0099,
         0.1507, -0.0102,  0.1767, -0.1257, -0.1351, -0.1781,  0.1773, -0.1366],
       device='cuda:0')
calibrate.in_conv.1.running_var tensor([1.1622e-02, 3.4511e-03, 1.7625e-02, 1.6111e-03, 7.9247e-05, 1.8396e-03,
        1.1853e-02, 5.8464e-05, 1.7631e-02, 1.0656e-04, 2.1882e-02, 1.2268e-02,
        1.1998e-02, 1.9010e-02, 2.0402e-02, 1.2878e-02], device='cuda:0')
calibrate.in_conv.1.num_batches_tracked tensor(1372500, device='cuda:0')
calibrate.convs.0.weight tensor([[[[-1.2746e-02, -1.7131e-02, -1.6993e-02],
          [-9.5981e-03, -4.1865e-02, -5.9898e-02],
          [-5.1083e-02, -1.7544e-01, -9.3822e-02]],

         [[-9.3860e-02, -9.3980e-02, -1.0666e-01],
          [-9.0790e-02, -8.8989e-02, -9.7385e-02],
          [-8.6563e-02, -8.7418e-02, -8.9045e-02]],

         [[ 2.6752e-02,  6.8243e-02,  9.9005e-02],
          [ 2.5440e-02,  4.9577e-02,  7.7744e-02],
          [-9.6052e-03,  2.4130e-02,  7.2208e-02]],

         ...,

         [[-8.0538e-03, -5.9641e-02, -4.1601e-02],
          [ 1.8595e-02, -1.8137e-02,  2.7688e-03],
          [-1.2597e-02, -2.3614e-02, -2.1115e-02]],

         [[ 3.5548e-02, -6.4282e-02, -1.1685e-01],
          [ 1.5511e-03, -5.1021e-02, -4.7086e-02],
          [ 1.1486e-02, -7.7890e-03,  1.3744e-02]],

         [[ 2.9488e-02, -1.9975e-02, -3.6963e-02],
          [ 4.8116e-02,  6.5519e-02, -3.4455e-02],
          [ 2.0901e-02, -5.1214e-03, -3.7612e-02]]],


        [[[-5.4009e-02, -1.8555e-02, -1.1540e-02],
          [ 6.2621e-02,  1.0244e-01,  8.3960e-02],
          [ 3.8456e-02,  1.0807e-01,  9.0456e-02]],

         [[-5.3967e-02, -7.6410e-03, -8.3695e-04],
          [-1.4062e-02,  2.3699e-02, -1.4328e-02],
          [ 1.3726e-02,  9.6568e-03,  4.2917e-02]],

         [[ 7.8174e-03,  2.9918e-02, -1.1847e-02],
          [-4.2335e-02,  3.1225e-02, -3.8830e-03],
          [-7.0546e-03, -2.4521e-03, -1.0264e-03]],

         ...,

         [[-7.2577e-02, -3.2320e-02, -2.6387e-02],
          [-2.5586e-02, -3.2472e-02,  6.1539e-03],
          [ 2.7307e-02, -5.8800e-02,  3.3360e-02]],

         [[ 8.7626e-02,  7.4033e-02,  3.7749e-02],
          [ 3.4968e-02, -5.1431e-02, -2.3527e-02],
          [ 4.4718e-02,  4.8258e-04, -3.3942e-03]],

         [[-8.2940e-02, -5.1276e-02,  2.3664e-02],
          [-4.5771e-02, -1.9602e-02,  3.1628e-02],
          [ 1.2889e-02, -1.9069e-03,  8.8131e-02]]],


        [[[ 8.8455e-03,  9.4613e-03,  1.3493e-02],
          [-3.8142e-02, -7.8275e-02, -5.1332e-02],
          [ 5.2225e-03,  4.4530e-03, -6.8719e-03]],

         [[-4.8766e-03,  7.0531e-03,  3.8625e-02],
          [-1.2802e-02, -1.2204e-02, -2.2299e-02],
          [-1.2244e-02, -1.2959e-02,  8.8930e-03]],

         [[-2.8179e-02,  2.9491e-04, -1.2496e-02],
          [-3.3142e-02,  3.5192e-02, -3.3404e-02],
          [-4.7651e-02, -2.2134e-02,  2.6159e-03]],

         ...,

         [[-1.0351e-02, -5.3679e-03,  8.5470e-03],
          [-9.9869e-03,  7.4387e-03, -9.8341e-03],
          [-4.9039e-03,  5.6449e-02, -8.9426e-04]],

         [[-1.5441e-02,  1.2125e-02, -2.1482e-02],
          [-2.5319e-03,  3.9276e-02,  3.8164e-03],
          [ 5.8027e-03, -2.2146e-04,  5.3322e-04]],

         [[ 1.3140e-02, -4.5597e-03,  2.7376e-02],
          [ 8.1720e-03, -1.9524e-02,  3.2023e-02],
          [-1.5447e-02, -1.2656e-02,  2.7304e-02]]],


        ...,


        [[[-2.6401e-02, -2.9615e-02, -4.4711e-02],
          [-3.0882e-02, -3.9055e-02, -2.7189e-02],
          [-2.0381e-03,  4.7691e-02, -1.4771e-02]],

         [[-3.3801e-02, -8.3701e-02,  3.2329e-01],
          [-4.1602e-02, -6.6784e-02, -9.4870e-02],
          [-3.6828e-02, -4.9110e-02, -5.5527e-02]],

         [[-2.5711e-02,  1.9675e-02,  1.1932e-01],
          [-1.0986e-01, -1.3716e-01,  2.5810e-02],
          [-1.0539e-01, -2.2897e-02,  1.4856e-01]],

         ...,

         [[-2.2217e-02, -2.4458e-02, -2.7888e-02],
          [-2.8659e-02, -3.3386e-02, -1.2364e-02],
          [-7.6892e-03,  3.0821e-01, -4.2624e-02]],

         [[-8.8994e-03, -1.4413e-01, -2.7966e-01],
          [-1.0754e-02,  3.3973e-02, -1.1952e-01],
          [ 9.3640e-03, -2.2279e-02, -1.7365e-03]],

         [[ 2.3587e-02,  6.2870e-02,  3.1278e-03],
          [ 7.7521e-02, -1.4833e-02,  7.1147e-02],
          [ 3.2018e-02,  1.0146e-01,  2.2009e-02]]],


        [[[-3.4292e-02, -3.1713e-02, -4.4349e-02],
          [-9.0763e-03, -7.7923e-03, -6.3146e-03],
          [-3.8999e-02,  1.9463e-02, -4.9396e-03]],

         [[ 1.3316e-02,  5.2181e-02,  4.8030e-03],
          [-1.2746e-02,  3.0911e-02,  3.5182e-03],
          [ 2.5253e-02,  4.7033e-02,  1.2733e-02]],

         [[ 1.6384e-05,  2.8930e-03,  2.3823e-02],
          [ 4.6155e-02,  2.4494e-01,  4.5445e-02],
          [ 1.0180e-02,  2.6359e-02, -6.0720e-03]],

         ...,

         [[-1.1898e-02,  1.0871e-01,  6.7968e-02],
          [ 1.2257e-01,  1.9175e-01,  1.0613e-01],
          [ 1.5031e-01,  1.4381e-01,  1.2036e-01]],

         [[ 3.3554e-03, -2.4570e-03, -6.5525e-03],
          [ 7.9391e-02,  3.2720e-01,  7.9716e-02],
          [-2.0803e-02,  1.4956e-02,  2.3979e-02]],

         [[-1.6475e-01, -1.6951e-01, -1.3408e-01],
          [-1.9606e-01, -1.9202e-01, -1.7743e-01],
          [-1.2568e-01, -1.4510e-01, -1.5540e-01]]],


        [[[-1.0433e-02,  2.6270e-03, -7.3263e-03],
          [ 3.5344e-02,  1.1530e-01,  8.3413e-02],
          [ 4.5244e-02,  6.1592e-01,  5.2567e-02]],

         [[ 7.8201e-03,  8.9165e-03,  1.5321e-01],
          [ 1.5313e-02,  3.2568e-02,  2.4192e-02],
          [ 8.9546e-03,  1.9700e-02,  1.2917e-02]],

         [[ 3.3806e-02, -2.4553e-02, -5.0536e-02],
          [ 5.9956e-02,  2.8187e-01,  5.5874e-03],
          [ 4.3333e-02,  2.5254e-02, -5.9422e-02]],

         ...,

         [[ 7.4212e-03,  7.5114e-03,  1.4069e-02],
          [ 5.8176e-03,  1.0753e-03, -2.0927e-03],
          [ 1.6208e-02, -6.4006e-02,  1.0097e-02]],

         [[ 3.0360e-02,  6.5721e-02,  1.4988e-01],
          [ 2.8784e-02,  2.6414e-01,  4.0056e-02],
          [ 2.4321e-02,  2.2020e-02,  1.9157e-02]],

         [[-4.6713e-02, -5.3305e-02, -9.7104e-03],
          [-1.2368e-02,  7.5313e-02, -5.2159e-02],
          [-1.5387e-02, -4.6908e-02, -5.5678e-02]]]], device='cuda:0')
calibrate.convs.0.bias tensor([ 2.9318e-06,  9.8884e-06, -1.9158e-05,  4.5905e-04,  8.5034e-05,
         3.7522e-06, -2.2830e-04, -8.6002e-05, -5.8076e-05,  7.4152e-05,
        -1.4836e-04, -3.2376e-05,  6.5907e-06, -7.8521e-06, -1.5364e-04,
         4.1092e-05], device='cuda:0')
calibrate.convs.1.weight tensor([0.2067, 0.0166, 0.0300, 0.0239, 0.0323, 0.1053, 0.2714, 0.4002, 0.1234,
        0.0543, 0.1114, 0.1203, 0.0229, 0.0414, 0.2141, 0.0639],
       device='cuda:0')
calibrate.convs.1.bias tensor([-0.2022,  0.0683,  0.0080,  0.1458,  0.1683, -0.0365, -0.4199, -0.8046,
        -0.1139, -0.0344, -0.2280, -0.3810,  0.0750,  0.0591, -0.9465,  0.2153],
       device='cuda:0')
calibrate.convs.1.running_mean tensor([ 0.2580, -0.3741,  0.0646, -0.6514,  0.5531,  0.5218,  0.5221,  0.5163,
         0.2726, -0.5324,  0.8934,  0.4208, -0.1662, -0.1724,  1.0966, -0.0801],
       device='cuda:0')
calibrate.convs.1.running_var tensor([0.2117, 0.0519, 0.1028, 0.4820, 0.1686, 0.1709, 0.1357, 0.3761, 0.0951,
        0.1861, 0.2812, 0.1019, 0.0720, 0.1861, 0.2394, 0.3227],
       device='cuda:0')
calibrate.convs.1.num_batches_tracked tensor(4117500, device='cuda:0')
calibrate.convs.3.weight tensor([[[[-4.6415e-02, -5.4374e-02, -5.0384e-02],
          [-3.6416e-02, -4.4461e-02, -3.4556e-02],
          [-2.4734e-02, -3.0959e-02, -3.0928e-02]],

         [[ 2.7462e-02, -1.2278e-02,  6.0697e-03],
          [ 4.5281e-03, -1.4345e-02, -1.3334e-03],
          [-8.3361e-03, -7.0953e-03, -3.2439e-02]],

         [[ 2.8025e-02,  7.9051e-02,  2.7577e-02],
          [-1.1256e-02,  1.8672e-02,  9.1839e-04],
          [ 1.0507e-03,  6.3632e-03, -8.3656e-03]],

         ...,

         [[-3.5018e-02, -2.1947e-02, -3.3223e-02],
          [ 3.8519e-02, -2.0801e-02,  2.4510e-02],
          [-9.0534e-03, -3.0576e-02,  1.2760e-03]],

         [[-2.3377e-04,  1.5284e-01, -2.9102e-03],
          [-1.7979e-02,  3.3191e-02,  2.1330e-02],
          [ 1.0251e-02,  8.9485e-03,  9.9651e-04]],

         [[ 2.7212e-02,  2.9835e-01,  2.8847e-02],
          [-1.7626e-02,  4.2174e-02, -1.8753e-02],
          [ 2.9604e-03,  2.7863e-02, -9.6700e-04]]],


        [[[-2.8823e-02, -1.6638e-02,  1.8827e-04],
          [-6.8635e-02, -5.5412e-02, -1.9002e-02],
          [-1.3838e-01, -1.2706e-01, -5.6854e-02]],

         [[ 9.7019e-03,  1.7334e-02, -8.2526e-03],
          [ 2.9737e-02,  3.9985e-02,  3.1709e-03],
          [-7.3403e-02, -1.1300e-02, -2.2881e-02]],

         [[-8.4035e-03, -3.9280e-03, -1.1853e-02],
          [ 2.5103e-02,  1.1516e-02, -1.3490e-02],
          [ 3.1065e-02,  1.0370e-02, -1.3628e-02]],

         ...,

         [[ 1.3100e-02,  1.9440e-03,  1.7922e-03],
          [ 2.2715e-02,  1.9345e-02,  1.7067e-02],
          [ 2.9904e-02,  2.5855e-02,  8.4855e-03]],

         [[ 3.7407e-02,  4.6812e-02,  2.0739e-02],
          [ 6.4471e-02,  1.0178e-01,  4.8366e-02],
          [ 6.7194e-02,  1.0500e-01,  5.4600e-02]],

         [[-1.0293e-02, -2.8592e-03,  1.6992e-03],
          [-1.6377e-02, -3.9661e-02, -7.9989e-03],
          [ 3.2182e-01, -1.7526e-02, -2.0115e-03]]],


        [[[-8.9408e-03, -1.0606e-02, -2.2356e-02],
          [-4.4891e-02, -6.7016e-02, -2.0565e-02],
          [-4.3366e-02, -2.0902e-02,  1.3757e-02]],

         [[-3.7753e-02,  2.3974e-02, -2.6665e-02],
          [-2.2341e-02,  2.2491e-02, -3.3804e-02],
          [-3.7082e-02, -5.5196e-02, -8.0609e-02]],

         [[-2.7916e-02, -1.9524e-02, -4.5456e-02],
          [ 1.8248e-03,  1.2779e-02, -1.4439e-02],
          [-1.9157e-03,  1.5196e-02, -7.2029e-04]],

         ...,

         [[-1.1870e-01,  5.2501e-02,  4.5828e-02],
          [-4.9767e-02,  4.6805e-02,  5.2837e-02],
          [-1.2481e-01, -6.7320e-03,  4.2509e-05]],

         [[ 1.5575e-02, -3.5904e-02, -2.4604e-02],
          [-8.1760e-03, -8.2124e-02, -6.2063e-02],
          [-9.4751e-03, -2.3923e-02, -4.1703e-03]],

         [[ 1.7181e-01, -7.4899e-02, -6.7816e-02],
          [ 2.6263e-03, -6.0434e-02, -4.6688e-02],
          [ 1.5788e-01,  3.3110e-02, -6.4439e-03]]],


        ...,


        [[[-2.5078e-02, -1.3355e-02, -1.2252e-03],
          [-1.1370e-02,  2.9196e-03,  1.1731e-04],
          [-8.7520e-03,  5.2998e-03,  1.2687e-02]],

         [[ 4.4718e-02, -2.5385e-02,  3.4554e-03],
          [ 2.9386e-02, -3.2198e-02,  1.7304e-02],
          [ 5.0931e-03, -3.7927e-02, -3.0001e-02]],

         [[-2.2985e-02,  5.1538e-04, -1.0031e-02],
          [-6.8775e-03,  4.4198e-03,  1.0150e-02],
          [ 1.4459e-02,  1.4624e-02,  1.9923e-02]],

         ...,

         [[ 2.0421e-02,  1.1741e-03, -2.5642e-02],
          [ 1.3743e-02, -1.2898e-02,  1.0134e-03],
          [ 1.0204e-02,  2.3419e-02,  3.2266e-02]],

         [[ 2.1254e-01,  4.4322e-01,  1.3012e-01],
          [ 1.8062e-01,  2.5420e-01,  1.6705e-01],
          [ 1.2778e-01,  1.6106e-01,  8.3616e-02]],

         [[-1.3363e-02,  2.7762e-01,  2.9898e-02],
          [-2.9637e-02,  2.2313e-02, -7.3613e-03],
          [-2.0917e-02, -3.3166e-02, -3.4201e-02]]],


        [[[ 3.3898e-02,  1.8524e-02,  3.0902e-02],
          [ 1.4382e-02, -4.9093e-02,  4.8752e-04],
          [ 7.4316e-02,  6.7025e-02,  4.9576e-02]],

         [[-3.7089e-02, -2.0213e-02, -1.7752e-02],
          [ 2.4014e-02, -7.6985e-04,  1.4866e-02],
          [ 1.3397e-02,  3.5243e-02,  2.6448e-02]],

         [[ 1.0639e-02,  2.0877e-02, -1.0539e-03],
          [-2.0480e-02, -1.9901e-02,  3.4004e-03],
          [-1.2807e-02, -7.6385e-03, -1.2000e-03]],

         ...,

         [[ 1.9288e-04, -7.3522e-03, -2.2436e-02],
          [ 5.6162e-02,  5.8961e-02,  3.0431e-03],
          [ 1.6627e-01,  5.3356e-02,  9.1078e-03]],

         [[ 1.8117e-02, -8.5008e-02, -1.1007e-01],
          [ 5.1853e-02, -5.9809e-02, -5.0729e-02],
          [ 1.5418e-01,  6.3819e-02,  4.9052e-02]],

         [[-6.3590e-03,  2.3968e-03,  9.7132e-03],
          [-3.3419e-02, -5.4573e-02,  1.4012e-02],
          [-1.5850e-01, -3.0672e-02, -5.5142e-03]]],


        [[[-3.7699e-02, -4.1239e-02, -5.3068e-02],
          [-5.3114e-02, -1.7140e-01, -8.6160e-02],
          [-5.5515e-02, -8.6305e-02, -7.1906e-02]],

         [[ 9.8787e-02, -1.3252e-02, -4.4559e-03],
          [ 1.0078e-02, -3.2660e-02,  4.1410e-02],
          [-9.9623e-03, -1.1542e-02,  4.1027e-02]],

         [[-5.9625e-02, -9.8466e-03, -2.3923e-02],
          [-2.3333e-02, -1.6722e-02,  4.1713e-03],
          [-3.6786e-02, -7.8450e-03, -3.4875e-02]],

         ...,

         [[ 4.7530e-02,  4.8817e-03,  1.7199e-02],
          [-1.0559e-02,  2.7546e-02, -2.8083e-02],
          [ 7.2298e-03, -3.3321e-02, -3.2997e-02]],

         [[ 7.6595e-02,  6.6643e-02,  8.2020e-02],
          [ 1.1730e-02, -2.0673e-02,  1.2068e-01],
          [ 7.9887e-02, -2.2578e-02,  1.2068e-01]],

         [[-6.6492e-02,  1.2087e-01, -2.0709e-02],
          [ 7.3591e-02,  3.5558e-02,  1.1145e-01],
          [-2.2068e-02,  5.3634e-02, -1.4186e-02]]]], device='cuda:0')
calibrate.convs.3.bias tensor([ 1.7870e-04, -3.9135e-04, -6.5273e-05, -4.5845e-04,  1.2389e-04,
         4.4837e-05, -1.9836e-04,  4.2169e-04, -2.6723e-04, -6.2011e-05,
        -4.3996e-04,  2.6971e-04,  1.3760e-04, -6.7283e-04, -2.5375e-04,
        -6.8403e-05], device='cuda:0')
calibrate.convs.4.weight tensor([0.1689, 0.3907, 0.1571, 0.2242, 0.0740, 0.1319, 0.5162, 0.2267, 0.4334,
        0.2630, 0.1918, 0.2495, 0.3131, 0.4189, 0.2731, 0.3770],
       device='cuda:0')
calibrate.convs.4.bias tensor([-0.2439, -0.2652,  0.3641,  0.3597,  0.0169,  0.1432,  0.1594,  0.0060,
        -0.3336,  0.0702,  0.5386,  0.0616, -0.2644, -0.3112,  0.1817, -0.0150],
       device='cuda:0')
calibrate.convs.4.running_mean tensor([ 0.1019,  0.0774,  0.0023, -0.0557, -0.0147, -0.0258, -0.0578,  0.0068,
        -0.0445,  0.0301, -0.0246,  0.0969, -0.0117,  0.0417,  0.0396,  0.0074],
       device='cuda:0')
calibrate.convs.4.running_var tensor([0.0015, 0.0037, 0.0012, 0.0011, 0.0006, 0.0008, 0.0040, 0.0067, 0.0065,
        0.0005, 0.0034, 0.0038, 0.0012, 0.0093, 0.0019, 0.0020],
       device='cuda:0')
calibrate.convs.4.num_batches_tracked tensor(4117500, device='cuda:0')
calibrate.blocks.0.0.weight tensor([[[[-1.2746e-02, -1.7131e-02, -1.6993e-02],
          [-9.5981e-03, -4.1865e-02, -5.9898e-02],
          [-5.1083e-02, -1.7544e-01, -9.3822e-02]],

         [[-9.3860e-02, -9.3980e-02, -1.0666e-01],
          [-9.0790e-02, -8.8989e-02, -9.7385e-02],
          [-8.6563e-02, -8.7418e-02, -8.9045e-02]],

         [[ 2.6752e-02,  6.8243e-02,  9.9005e-02],
          [ 2.5440e-02,  4.9577e-02,  7.7744e-02],
          [-9.6052e-03,  2.4130e-02,  7.2208e-02]],

         ...,

         [[-8.0538e-03, -5.9641e-02, -4.1601e-02],
          [ 1.8595e-02, -1.8137e-02,  2.7688e-03],
          [-1.2597e-02, -2.3614e-02, -2.1115e-02]],

         [[ 3.5548e-02, -6.4282e-02, -1.1685e-01],
          [ 1.5511e-03, -5.1021e-02, -4.7086e-02],
          [ 1.1486e-02, -7.7890e-03,  1.3744e-02]],

         [[ 2.9488e-02, -1.9975e-02, -3.6963e-02],
          [ 4.8116e-02,  6.5519e-02, -3.4455e-02],
          [ 2.0901e-02, -5.1214e-03, -3.7612e-02]]],


        [[[-5.4009e-02, -1.8555e-02, -1.1540e-02],
          [ 6.2621e-02,  1.0244e-01,  8.3960e-02],
          [ 3.8456e-02,  1.0807e-01,  9.0456e-02]],

         [[-5.3967e-02, -7.6410e-03, -8.3695e-04],
          [-1.4062e-02,  2.3699e-02, -1.4328e-02],
          [ 1.3726e-02,  9.6568e-03,  4.2917e-02]],

         [[ 7.8174e-03,  2.9918e-02, -1.1847e-02],
          [-4.2335e-02,  3.1225e-02, -3.8830e-03],
          [-7.0546e-03, -2.4521e-03, -1.0264e-03]],

         ...,

         [[-7.2577e-02, -3.2320e-02, -2.6387e-02],
          [-2.5586e-02, -3.2472e-02,  6.1539e-03],
          [ 2.7307e-02, -5.8800e-02,  3.3360e-02]],

         [[ 8.7626e-02,  7.4033e-02,  3.7749e-02],
          [ 3.4968e-02, -5.1431e-02, -2.3527e-02],
          [ 4.4718e-02,  4.8258e-04, -3.3942e-03]],

         [[-8.2940e-02, -5.1276e-02,  2.3664e-02],
          [-4.5771e-02, -1.9602e-02,  3.1628e-02],
          [ 1.2889e-02, -1.9069e-03,  8.8131e-02]]],


        [[[ 8.8455e-03,  9.4613e-03,  1.3493e-02],
          [-3.8142e-02, -7.8275e-02, -5.1332e-02],
          [ 5.2225e-03,  4.4530e-03, -6.8719e-03]],

         [[-4.8766e-03,  7.0531e-03,  3.8625e-02],
          [-1.2802e-02, -1.2204e-02, -2.2299e-02],
          [-1.2244e-02, -1.2959e-02,  8.8930e-03]],

         [[-2.8179e-02,  2.9491e-04, -1.2496e-02],
          [-3.3142e-02,  3.5192e-02, -3.3404e-02],
          [-4.7651e-02, -2.2134e-02,  2.6159e-03]],

         ...,

         [[-1.0351e-02, -5.3679e-03,  8.5470e-03],
          [-9.9869e-03,  7.4387e-03, -9.8341e-03],
          [-4.9039e-03,  5.6449e-02, -8.9426e-04]],

         [[-1.5441e-02,  1.2125e-02, -2.1482e-02],
          [-2.5319e-03,  3.9276e-02,  3.8164e-03],
          [ 5.8027e-03, -2.2146e-04,  5.3322e-04]],

         [[ 1.3140e-02, -4.5597e-03,  2.7376e-02],
          [ 8.1720e-03, -1.9524e-02,  3.2023e-02],
          [-1.5447e-02, -1.2656e-02,  2.7304e-02]]],


        ...,


        [[[-2.6401e-02, -2.9615e-02, -4.4711e-02],
          [-3.0882e-02, -3.9055e-02, -2.7189e-02],
          [-2.0381e-03,  4.7691e-02, -1.4771e-02]],

         [[-3.3801e-02, -8.3701e-02,  3.2329e-01],
          [-4.1602e-02, -6.6784e-02, -9.4870e-02],
          [-3.6828e-02, -4.9110e-02, -5.5527e-02]],

         [[-2.5711e-02,  1.9675e-02,  1.1932e-01],
          [-1.0986e-01, -1.3716e-01,  2.5810e-02],
          [-1.0539e-01, -2.2897e-02,  1.4856e-01]],

         ...,

         [[-2.2217e-02, -2.4458e-02, -2.7888e-02],
          [-2.8659e-02, -3.3386e-02, -1.2364e-02],
          [-7.6892e-03,  3.0821e-01, -4.2624e-02]],

         [[-8.8994e-03, -1.4413e-01, -2.7966e-01],
          [-1.0754e-02,  3.3973e-02, -1.1952e-01],
          [ 9.3640e-03, -2.2279e-02, -1.7365e-03]],

         [[ 2.3587e-02,  6.2870e-02,  3.1278e-03],
          [ 7.7521e-02, -1.4833e-02,  7.1147e-02],
          [ 3.2018e-02,  1.0146e-01,  2.2009e-02]]],


        [[[-3.4292e-02, -3.1713e-02, -4.4349e-02],
          [-9.0763e-03, -7.7923e-03, -6.3146e-03],
          [-3.8999e-02,  1.9463e-02, -4.9396e-03]],

         [[ 1.3316e-02,  5.2181e-02,  4.8030e-03],
          [-1.2746e-02,  3.0911e-02,  3.5182e-03],
          [ 2.5253e-02,  4.7033e-02,  1.2733e-02]],

         [[ 1.6384e-05,  2.8930e-03,  2.3823e-02],
          [ 4.6155e-02,  2.4494e-01,  4.5445e-02],
          [ 1.0180e-02,  2.6359e-02, -6.0720e-03]],

         ...,

         [[-1.1898e-02,  1.0871e-01,  6.7968e-02],
          [ 1.2257e-01,  1.9175e-01,  1.0613e-01],
          [ 1.5031e-01,  1.4381e-01,  1.2036e-01]],

         [[ 3.3554e-03, -2.4570e-03, -6.5525e-03],
          [ 7.9391e-02,  3.2720e-01,  7.9716e-02],
          [-2.0803e-02,  1.4956e-02,  2.3979e-02]],

         [[-1.6475e-01, -1.6951e-01, -1.3408e-01],
          [-1.9606e-01, -1.9202e-01, -1.7743e-01],
          [-1.2568e-01, -1.4510e-01, -1.5540e-01]]],


        [[[-1.0433e-02,  2.6270e-03, -7.3263e-03],
          [ 3.5344e-02,  1.1530e-01,  8.3413e-02],
          [ 4.5244e-02,  6.1592e-01,  5.2567e-02]],

         [[ 7.8201e-03,  8.9165e-03,  1.5321e-01],
          [ 1.5313e-02,  3.2568e-02,  2.4192e-02],
          [ 8.9546e-03,  1.9700e-02,  1.2917e-02]],

         [[ 3.3806e-02, -2.4553e-02, -5.0536e-02],
          [ 5.9956e-02,  2.8187e-01,  5.5874e-03],
          [ 4.3333e-02,  2.5254e-02, -5.9422e-02]],

         ...,

         [[ 7.4212e-03,  7.5114e-03,  1.4069e-02],
          [ 5.8176e-03,  1.0753e-03, -2.0927e-03],
          [ 1.6208e-02, -6.4006e-02,  1.0097e-02]],

         [[ 3.0360e-02,  6.5721e-02,  1.4988e-01],
          [ 2.8784e-02,  2.6414e-01,  4.0056e-02],
          [ 2.4321e-02,  2.2020e-02,  1.9157e-02]],

         [[-4.6713e-02, -5.3305e-02, -9.7104e-03],
          [-1.2368e-02,  7.5313e-02, -5.2159e-02],
          [-1.5387e-02, -4.6908e-02, -5.5678e-02]]]], device='cuda:0')
calibrate.blocks.0.0.bias tensor([ 2.9318e-06,  9.8884e-06, -1.9158e-05,  4.5905e-04,  8.5034e-05,
         3.7522e-06, -2.2830e-04, -8.6002e-05, -5.8076e-05,  7.4152e-05,
        -1.4836e-04, -3.2376e-05,  6.5907e-06, -7.8521e-06, -1.5364e-04,
         4.1092e-05], device='cuda:0')
calibrate.blocks.0.1.weight tensor([0.2067, 0.0166, 0.0300, 0.0239, 0.0323, 0.1053, 0.2714, 0.4002, 0.1234,
        0.0543, 0.1114, 0.1203, 0.0229, 0.0414, 0.2141, 0.0639],
       device='cuda:0')
calibrate.blocks.0.1.bias tensor([-0.2022,  0.0683,  0.0080,  0.1458,  0.1683, -0.0365, -0.4199, -0.8046,
        -0.1139, -0.0344, -0.2280, -0.3810,  0.0750,  0.0591, -0.9465,  0.2153],
       device='cuda:0')
calibrate.blocks.0.1.running_mean tensor([ 0.2580, -0.3741,  0.0646, -0.6514,  0.5531,  0.5218,  0.5221,  0.5163,
         0.2726, -0.5324,  0.8934,  0.4208, -0.1662, -0.1724,  1.0966, -0.0801],
       device='cuda:0')
calibrate.blocks.0.1.running_var tensor([0.2117, 0.0519, 0.1028, 0.4820, 0.1686, 0.1709, 0.1357, 0.3761, 0.0951,
        0.1861, 0.2812, 0.1019, 0.0720, 0.1861, 0.2394, 0.3227],
       device='cuda:0')
calibrate.blocks.0.1.num_batches_tracked tensor(4117500, device='cuda:0')
calibrate.blocks.0.3.weight tensor([[[[-4.6415e-02, -5.4374e-02, -5.0384e-02],
          [-3.6416e-02, -4.4461e-02, -3.4556e-02],
          [-2.4734e-02, -3.0959e-02, -3.0928e-02]],

         [[ 2.7462e-02, -1.2278e-02,  6.0697e-03],
          [ 4.5281e-03, -1.4345e-02, -1.3334e-03],
          [-8.3361e-03, -7.0953e-03, -3.2439e-02]],

         [[ 2.8025e-02,  7.9051e-02,  2.7577e-02],
          [-1.1256e-02,  1.8672e-02,  9.1839e-04],
          [ 1.0507e-03,  6.3632e-03, -8.3656e-03]],

         ...,

         [[-3.5018e-02, -2.1947e-02, -3.3223e-02],
          [ 3.8519e-02, -2.0801e-02,  2.4510e-02],
          [-9.0534e-03, -3.0576e-02,  1.2760e-03]],

         [[-2.3377e-04,  1.5284e-01, -2.9102e-03],
          [-1.7979e-02,  3.3191e-02,  2.1330e-02],
          [ 1.0251e-02,  8.9485e-03,  9.9651e-04]],

         [[ 2.7212e-02,  2.9835e-01,  2.8847e-02],
          [-1.7626e-02,  4.2174e-02, -1.8753e-02],
          [ 2.9604e-03,  2.7863e-02, -9.6700e-04]]],


        [[[-2.8823e-02, -1.6638e-02,  1.8827e-04],
          [-6.8635e-02, -5.5412e-02, -1.9002e-02],
          [-1.3838e-01, -1.2706e-01, -5.6854e-02]],

         [[ 9.7019e-03,  1.7334e-02, -8.2526e-03],
          [ 2.9737e-02,  3.9985e-02,  3.1709e-03],
          [-7.3403e-02, -1.1300e-02, -2.2881e-02]],

         [[-8.4035e-03, -3.9280e-03, -1.1853e-02],
          [ 2.5103e-02,  1.1516e-02, -1.3490e-02],
          [ 3.1065e-02,  1.0370e-02, -1.3628e-02]],

         ...,

         [[ 1.3100e-02,  1.9440e-03,  1.7922e-03],
          [ 2.2715e-02,  1.9345e-02,  1.7067e-02],
          [ 2.9904e-02,  2.5855e-02,  8.4855e-03]],

         [[ 3.7407e-02,  4.6812e-02,  2.0739e-02],
          [ 6.4471e-02,  1.0178e-01,  4.8366e-02],
          [ 6.7194e-02,  1.0500e-01,  5.4600e-02]],

         [[-1.0293e-02, -2.8592e-03,  1.6992e-03],
          [-1.6377e-02, -3.9661e-02, -7.9989e-03],
          [ 3.2182e-01, -1.7526e-02, -2.0115e-03]]],


        [[[-8.9408e-03, -1.0606e-02, -2.2356e-02],
          [-4.4891e-02, -6.7016e-02, -2.0565e-02],
          [-4.3366e-02, -2.0902e-02,  1.3757e-02]],

         [[-3.7753e-02,  2.3974e-02, -2.6665e-02],
          [-2.2341e-02,  2.2491e-02, -3.3804e-02],
          [-3.7082e-02, -5.5196e-02, -8.0609e-02]],

         [[-2.7916e-02, -1.9524e-02, -4.5456e-02],
          [ 1.8248e-03,  1.2779e-02, -1.4439e-02],
          [-1.9157e-03,  1.5196e-02, -7.2029e-04]],

         ...,

         [[-1.1870e-01,  5.2501e-02,  4.5828e-02],
          [-4.9767e-02,  4.6805e-02,  5.2837e-02],
          [-1.2481e-01, -6.7320e-03,  4.2509e-05]],

         [[ 1.5575e-02, -3.5904e-02, -2.4604e-02],
          [-8.1760e-03, -8.2124e-02, -6.2063e-02],
          [-9.4751e-03, -2.3923e-02, -4.1703e-03]],

         [[ 1.7181e-01, -7.4899e-02, -6.7816e-02],
          [ 2.6263e-03, -6.0434e-02, -4.6688e-02],
          [ 1.5788e-01,  3.3110e-02, -6.4439e-03]]],


        ...,


        [[[-2.5078e-02, -1.3355e-02, -1.2252e-03],
          [-1.1370e-02,  2.9196e-03,  1.1731e-04],
          [-8.7520e-03,  5.2998e-03,  1.2687e-02]],

         [[ 4.4718e-02, -2.5385e-02,  3.4554e-03],
          [ 2.9386e-02, -3.2198e-02,  1.7304e-02],
          [ 5.0931e-03, -3.7927e-02, -3.0001e-02]],

         [[-2.2985e-02,  5.1538e-04, -1.0031e-02],
          [-6.8775e-03,  4.4198e-03,  1.0150e-02],
          [ 1.4459e-02,  1.4624e-02,  1.9923e-02]],

         ...,

         [[ 2.0421e-02,  1.1741e-03, -2.5642e-02],
          [ 1.3743e-02, -1.2898e-02,  1.0134e-03],
          [ 1.0204e-02,  2.3419e-02,  3.2266e-02]],

         [[ 2.1254e-01,  4.4322e-01,  1.3012e-01],
          [ 1.8062e-01,  2.5420e-01,  1.6705e-01],
          [ 1.2778e-01,  1.6106e-01,  8.3616e-02]],

         [[-1.3363e-02,  2.7762e-01,  2.9898e-02],
          [-2.9637e-02,  2.2313e-02, -7.3613e-03],
          [-2.0917e-02, -3.3166e-02, -3.4201e-02]]],


        [[[ 3.3898e-02,  1.8524e-02,  3.0902e-02],
          [ 1.4382e-02, -4.9093e-02,  4.8752e-04],
          [ 7.4316e-02,  6.7025e-02,  4.9576e-02]],

         [[-3.7089e-02, -2.0213e-02, -1.7752e-02],
          [ 2.4014e-02, -7.6985e-04,  1.4866e-02],
          [ 1.3397e-02,  3.5243e-02,  2.6448e-02]],

         [[ 1.0639e-02,  2.0877e-02, -1.0539e-03],
          [-2.0480e-02, -1.9901e-02,  3.4004e-03],
          [-1.2807e-02, -7.6385e-03, -1.2000e-03]],

         ...,

         [[ 1.9288e-04, -7.3522e-03, -2.2436e-02],
          [ 5.6162e-02,  5.8961e-02,  3.0431e-03],
          [ 1.6627e-01,  5.3356e-02,  9.1078e-03]],

         [[ 1.8117e-02, -8.5008e-02, -1.1007e-01],
          [ 5.1853e-02, -5.9809e-02, -5.0729e-02],
          [ 1.5418e-01,  6.3819e-02,  4.9052e-02]],

         [[-6.3590e-03,  2.3968e-03,  9.7132e-03],
          [-3.3419e-02, -5.4573e-02,  1.4012e-02],
          [-1.5850e-01, -3.0672e-02, -5.5142e-03]]],


        [[[-3.7699e-02, -4.1239e-02, -5.3068e-02],
          [-5.3114e-02, -1.7140e-01, -8.6160e-02],
          [-5.5515e-02, -8.6305e-02, -7.1906e-02]],

         [[ 9.8787e-02, -1.3252e-02, -4.4559e-03],
          [ 1.0078e-02, -3.2660e-02,  4.1410e-02],
          [-9.9623e-03, -1.1542e-02,  4.1027e-02]],

         [[-5.9625e-02, -9.8466e-03, -2.3923e-02],
          [-2.3333e-02, -1.6722e-02,  4.1713e-03],
          [-3.6786e-02, -7.8450e-03, -3.4875e-02]],

         ...,

         [[ 4.7530e-02,  4.8817e-03,  1.7199e-02],
          [-1.0559e-02,  2.7546e-02, -2.8083e-02],
          [ 7.2298e-03, -3.3321e-02, -3.2997e-02]],

         [[ 7.6595e-02,  6.6643e-02,  8.2020e-02],
          [ 1.1730e-02, -2.0673e-02,  1.2068e-01],
          [ 7.9887e-02, -2.2578e-02,  1.2068e-01]],

         [[-6.6492e-02,  1.2087e-01, -2.0709e-02],
          [ 7.3591e-02,  3.5558e-02,  1.1145e-01],
          [-2.2068e-02,  5.3634e-02, -1.4186e-02]]]], device='cuda:0')
calibrate.blocks.0.3.bias tensor([ 1.7870e-04, -3.9135e-04, -6.5273e-05, -4.5845e-04,  1.2389e-04,
         4.4837e-05, -1.9836e-04,  4.2169e-04, -2.6723e-04, -6.2011e-05,
        -4.3996e-04,  2.6971e-04,  1.3760e-04, -6.7283e-04, -2.5375e-04,
        -6.8403e-05], device='cuda:0')
calibrate.blocks.0.4.weight tensor([0.1689, 0.3907, 0.1571, 0.2242, 0.0740, 0.1319, 0.5162, 0.2267, 0.4334,
        0.2630, 0.1918, 0.2495, 0.3131, 0.4189, 0.2731, 0.3770],
       device='cuda:0')
calibrate.blocks.0.4.bias tensor([-0.2439, -0.2652,  0.3641,  0.3597,  0.0169,  0.1432,  0.1594,  0.0060,
        -0.3336,  0.0702,  0.5386,  0.0616, -0.2644, -0.3112,  0.1817, -0.0150],
       device='cuda:0')
calibrate.blocks.0.4.running_mean tensor([ 0.1019,  0.0774,  0.0023, -0.0557, -0.0147, -0.0258, -0.0578,  0.0068,
        -0.0445,  0.0301, -0.0246,  0.0969, -0.0117,  0.0417,  0.0396,  0.0074],
       device='cuda:0')
calibrate.blocks.0.4.running_var tensor([0.0015, 0.0037, 0.0012, 0.0011, 0.0006, 0.0008, 0.0040, 0.0067, 0.0065,
        0.0005, 0.0034, 0.0038, 0.0012, 0.0093, 0.0019, 0.0020],
       device='cuda:0')
calibrate.blocks.0.4.num_batches_tracked tensor(4117500, device='cuda:0')
calibrate.blocks.1.0.weight tensor([[[[-1.2746e-02, -1.7131e-02, -1.6993e-02],
          [-9.5981e-03, -4.1865e-02, -5.9898e-02],
          [-5.1083e-02, -1.7544e-01, -9.3822e-02]],

         [[-9.3860e-02, -9.3980e-02, -1.0666e-01],
          [-9.0790e-02, -8.8989e-02, -9.7385e-02],
          [-8.6563e-02, -8.7418e-02, -8.9045e-02]],

         [[ 2.6752e-02,  6.8243e-02,  9.9005e-02],
          [ 2.5440e-02,  4.9577e-02,  7.7744e-02],
          [-9.6052e-03,  2.4130e-02,  7.2208e-02]],

         ...,

         [[-8.0538e-03, -5.9641e-02, -4.1601e-02],
          [ 1.8595e-02, -1.8137e-02,  2.7688e-03],
          [-1.2597e-02, -2.3614e-02, -2.1115e-02]],

         [[ 3.5548e-02, -6.4282e-02, -1.1685e-01],
          [ 1.5511e-03, -5.1021e-02, -4.7086e-02],
          [ 1.1486e-02, -7.7890e-03,  1.3744e-02]],

         [[ 2.9488e-02, -1.9975e-02, -3.6963e-02],
          [ 4.8116e-02,  6.5519e-02, -3.4455e-02],
          [ 2.0901e-02, -5.1214e-03, -3.7612e-02]]],


        [[[-5.4009e-02, -1.8555e-02, -1.1540e-02],
          [ 6.2621e-02,  1.0244e-01,  8.3960e-02],
          [ 3.8456e-02,  1.0807e-01,  9.0456e-02]],

         [[-5.3967e-02, -7.6410e-03, -8.3695e-04],
          [-1.4062e-02,  2.3699e-02, -1.4328e-02],
          [ 1.3726e-02,  9.6568e-03,  4.2917e-02]],

         [[ 7.8174e-03,  2.9918e-02, -1.1847e-02],
          [-4.2335e-02,  3.1225e-02, -3.8830e-03],
          [-7.0546e-03, -2.4521e-03, -1.0264e-03]],

         ...,

         [[-7.2577e-02, -3.2320e-02, -2.6387e-02],
          [-2.5586e-02, -3.2472e-02,  6.1539e-03],
          [ 2.7307e-02, -5.8800e-02,  3.3360e-02]],

         [[ 8.7626e-02,  7.4033e-02,  3.7749e-02],
          [ 3.4968e-02, -5.1431e-02, -2.3527e-02],
          [ 4.4718e-02,  4.8258e-04, -3.3942e-03]],

         [[-8.2940e-02, -5.1276e-02,  2.3664e-02],
          [-4.5771e-02, -1.9602e-02,  3.1628e-02],
          [ 1.2889e-02, -1.9069e-03,  8.8131e-02]]],


        [[[ 8.8455e-03,  9.4613e-03,  1.3493e-02],
          [-3.8142e-02, -7.8275e-02, -5.1332e-02],
          [ 5.2225e-03,  4.4530e-03, -6.8719e-03]],

         [[-4.8766e-03,  7.0531e-03,  3.8625e-02],
          [-1.2802e-02, -1.2204e-02, -2.2299e-02],
          [-1.2244e-02, -1.2959e-02,  8.8930e-03]],

         [[-2.8179e-02,  2.9491e-04, -1.2496e-02],
          [-3.3142e-02,  3.5192e-02, -3.3404e-02],
          [-4.7651e-02, -2.2134e-02,  2.6159e-03]],

         ...,

         [[-1.0351e-02, -5.3679e-03,  8.5470e-03],
          [-9.9869e-03,  7.4387e-03, -9.8341e-03],
          [-4.9039e-03,  5.6449e-02, -8.9426e-04]],

         [[-1.5441e-02,  1.2125e-02, -2.1482e-02],
          [-2.5319e-03,  3.9276e-02,  3.8164e-03],
          [ 5.8027e-03, -2.2146e-04,  5.3322e-04]],

         [[ 1.3140e-02, -4.5597e-03,  2.7376e-02],
          [ 8.1720e-03, -1.9524e-02,  3.2023e-02],
          [-1.5447e-02, -1.2656e-02,  2.7304e-02]]],


        ...,


        [[[-2.6401e-02, -2.9615e-02, -4.4711e-02],
          [-3.0882e-02, -3.9055e-02, -2.7189e-02],
          [-2.0381e-03,  4.7691e-02, -1.4771e-02]],

         [[-3.3801e-02, -8.3701e-02,  3.2329e-01],
          [-4.1602e-02, -6.6784e-02, -9.4870e-02],
          [-3.6828e-02, -4.9110e-02, -5.5527e-02]],

         [[-2.5711e-02,  1.9675e-02,  1.1932e-01],
          [-1.0986e-01, -1.3716e-01,  2.5810e-02],
          [-1.0539e-01, -2.2897e-02,  1.4856e-01]],

         ...,

         [[-2.2217e-02, -2.4458e-02, -2.7888e-02],
          [-2.8659e-02, -3.3386e-02, -1.2364e-02],
          [-7.6892e-03,  3.0821e-01, -4.2624e-02]],

         [[-8.8994e-03, -1.4413e-01, -2.7966e-01],
          [-1.0754e-02,  3.3973e-02, -1.1952e-01],
          [ 9.3640e-03, -2.2279e-02, -1.7365e-03]],

         [[ 2.3587e-02,  6.2870e-02,  3.1278e-03],
          [ 7.7521e-02, -1.4833e-02,  7.1147e-02],
          [ 3.2018e-02,  1.0146e-01,  2.2009e-02]]],


        [[[-3.4292e-02, -3.1713e-02, -4.4349e-02],
          [-9.0763e-03, -7.7923e-03, -6.3146e-03],
          [-3.8999e-02,  1.9463e-02, -4.9396e-03]],

         [[ 1.3316e-02,  5.2181e-02,  4.8030e-03],
          [-1.2746e-02,  3.0911e-02,  3.5182e-03],
          [ 2.5253e-02,  4.7033e-02,  1.2733e-02]],

         [[ 1.6384e-05,  2.8930e-03,  2.3823e-02],
          [ 4.6155e-02,  2.4494e-01,  4.5445e-02],
          [ 1.0180e-02,  2.6359e-02, -6.0720e-03]],

         ...,

         [[-1.1898e-02,  1.0871e-01,  6.7968e-02],
          [ 1.2257e-01,  1.9175e-01,  1.0613e-01],
          [ 1.5031e-01,  1.4381e-01,  1.2036e-01]],

         [[ 3.3554e-03, -2.4570e-03, -6.5525e-03],
          [ 7.9391e-02,  3.2720e-01,  7.9716e-02],
          [-2.0803e-02,  1.4956e-02,  2.3979e-02]],

         [[-1.6475e-01, -1.6951e-01, -1.3408e-01],
          [-1.9606e-01, -1.9202e-01, -1.7743e-01],
          [-1.2568e-01, -1.4510e-01, -1.5540e-01]]],


        [[[-1.0433e-02,  2.6270e-03, -7.3263e-03],
          [ 3.5344e-02,  1.1530e-01,  8.3413e-02],
          [ 4.5244e-02,  6.1592e-01,  5.2567e-02]],

         [[ 7.8201e-03,  8.9165e-03,  1.5321e-01],
          [ 1.5313e-02,  3.2568e-02,  2.4192e-02],
          [ 8.9546e-03,  1.9700e-02,  1.2917e-02]],

         [[ 3.3806e-02, -2.4553e-02, -5.0536e-02],
          [ 5.9956e-02,  2.8187e-01,  5.5874e-03],
          [ 4.3333e-02,  2.5254e-02, -5.9422e-02]],

         ...,

         [[ 7.4212e-03,  7.5114e-03,  1.4069e-02],
          [ 5.8176e-03,  1.0753e-03, -2.0927e-03],
          [ 1.6208e-02, -6.4006e-02,  1.0097e-02]],

         [[ 3.0360e-02,  6.5721e-02,  1.4988e-01],
          [ 2.8784e-02,  2.6414e-01,  4.0056e-02],
          [ 2.4321e-02,  2.2020e-02,  1.9157e-02]],

         [[-4.6713e-02, -5.3305e-02, -9.7104e-03],
          [-1.2368e-02,  7.5313e-02, -5.2159e-02],
          [-1.5387e-02, -4.6908e-02, -5.5678e-02]]]], device='cuda:0')
calibrate.blocks.1.0.bias tensor([ 2.9318e-06,  9.8884e-06, -1.9158e-05,  4.5905e-04,  8.5034e-05,
         3.7522e-06, -2.2830e-04, -8.6002e-05, -5.8076e-05,  7.4152e-05,
        -1.4836e-04, -3.2376e-05,  6.5907e-06, -7.8521e-06, -1.5364e-04,
         4.1092e-05], device='cuda:0')
calibrate.blocks.1.1.weight tensor([0.2067, 0.0166, 0.0300, 0.0239, 0.0323, 0.1053, 0.2714, 0.4002, 0.1234,
        0.0543, 0.1114, 0.1203, 0.0229, 0.0414, 0.2141, 0.0639],
       device='cuda:0')
calibrate.blocks.1.1.bias tensor([-0.2022,  0.0683,  0.0080,  0.1458,  0.1683, -0.0365, -0.4199, -0.8046,
        -0.1139, -0.0344, -0.2280, -0.3810,  0.0750,  0.0591, -0.9465,  0.2153],
       device='cuda:0')
calibrate.blocks.1.1.running_mean tensor([ 0.2580, -0.3741,  0.0646, -0.6514,  0.5531,  0.5218,  0.5221,  0.5163,
         0.2726, -0.5324,  0.8934,  0.4208, -0.1662, -0.1724,  1.0966, -0.0801],
       device='cuda:0')
calibrate.blocks.1.1.running_var tensor([0.2117, 0.0519, 0.1028, 0.4820, 0.1686, 0.1709, 0.1357, 0.3761, 0.0951,
        0.1861, 0.2812, 0.1019, 0.0720, 0.1861, 0.2394, 0.3227],
       device='cuda:0')
calibrate.blocks.1.1.num_batches_tracked tensor(4117500, device='cuda:0')
calibrate.blocks.1.3.weight tensor([[[[-4.6415e-02, -5.4374e-02, -5.0384e-02],
          [-3.6416e-02, -4.4461e-02, -3.4556e-02],
          [-2.4734e-02, -3.0959e-02, -3.0928e-02]],

         [[ 2.7462e-02, -1.2278e-02,  6.0697e-03],
          [ 4.5281e-03, -1.4345e-02, -1.3334e-03],
          [-8.3361e-03, -7.0953e-03, -3.2439e-02]],

         [[ 2.8025e-02,  7.9051e-02,  2.7577e-02],
          [-1.1256e-02,  1.8672e-02,  9.1839e-04],
          [ 1.0507e-03,  6.3632e-03, -8.3656e-03]],

         ...,

         [[-3.5018e-02, -2.1947e-02, -3.3223e-02],
          [ 3.8519e-02, -2.0801e-02,  2.4510e-02],
          [-9.0534e-03, -3.0576e-02,  1.2760e-03]],

         [[-2.3377e-04,  1.5284e-01, -2.9102e-03],
          [-1.7979e-02,  3.3191e-02,  2.1330e-02],
          [ 1.0251e-02,  8.9485e-03,  9.9651e-04]],

         [[ 2.7212e-02,  2.9835e-01,  2.8847e-02],
          [-1.7626e-02,  4.2174e-02, -1.8753e-02],
          [ 2.9604e-03,  2.7863e-02, -9.6700e-04]]],


        [[[-2.8823e-02, -1.6638e-02,  1.8827e-04],
          [-6.8635e-02, -5.5412e-02, -1.9002e-02],
          [-1.3838e-01, -1.2706e-01, -5.6854e-02]],

         [[ 9.7019e-03,  1.7334e-02, -8.2526e-03],
          [ 2.9737e-02,  3.9985e-02,  3.1709e-03],
          [-7.3403e-02, -1.1300e-02, -2.2881e-02]],

         [[-8.4035e-03, -3.9280e-03, -1.1853e-02],
          [ 2.5103e-02,  1.1516e-02, -1.3490e-02],
          [ 3.1065e-02,  1.0370e-02, -1.3628e-02]],

         ...,

         [[ 1.3100e-02,  1.9440e-03,  1.7922e-03],
          [ 2.2715e-02,  1.9345e-02,  1.7067e-02],
          [ 2.9904e-02,  2.5855e-02,  8.4855e-03]],

         [[ 3.7407e-02,  4.6812e-02,  2.0739e-02],
          [ 6.4471e-02,  1.0178e-01,  4.8366e-02],
          [ 6.7194e-02,  1.0500e-01,  5.4600e-02]],

         [[-1.0293e-02, -2.8592e-03,  1.6992e-03],
          [-1.6377e-02, -3.9661e-02, -7.9989e-03],
          [ 3.2182e-01, -1.7526e-02, -2.0115e-03]]],


        [[[-8.9408e-03, -1.0606e-02, -2.2356e-02],
          [-4.4891e-02, -6.7016e-02, -2.0565e-02],
          [-4.3366e-02, -2.0902e-02,  1.3757e-02]],

         [[-3.7753e-02,  2.3974e-02, -2.6665e-02],
          [-2.2341e-02,  2.2491e-02, -3.3804e-02],
          [-3.7082e-02, -5.5196e-02, -8.0609e-02]],

         [[-2.7916e-02, -1.9524e-02, -4.5456e-02],
          [ 1.8248e-03,  1.2779e-02, -1.4439e-02],
          [-1.9157e-03,  1.5196e-02, -7.2029e-04]],

         ...,

         [[-1.1870e-01,  5.2501e-02,  4.5828e-02],
          [-4.9767e-02,  4.6805e-02,  5.2837e-02],
          [-1.2481e-01, -6.7320e-03,  4.2509e-05]],

         [[ 1.5575e-02, -3.5904e-02, -2.4604e-02],
          [-8.1760e-03, -8.2124e-02, -6.2063e-02],
          [-9.4751e-03, -2.3923e-02, -4.1703e-03]],

         [[ 1.7181e-01, -7.4899e-02, -6.7816e-02],
          [ 2.6263e-03, -6.0434e-02, -4.6688e-02],
          [ 1.5788e-01,  3.3110e-02, -6.4439e-03]]],


        ...,


        [[[-2.5078e-02, -1.3355e-02, -1.2252e-03],
          [-1.1370e-02,  2.9196e-03,  1.1731e-04],
          [-8.7520e-03,  5.2998e-03,  1.2687e-02]],

         [[ 4.4718e-02, -2.5385e-02,  3.4554e-03],
          [ 2.9386e-02, -3.2198e-02,  1.7304e-02],
          [ 5.0931e-03, -3.7927e-02, -3.0001e-02]],

         [[-2.2985e-02,  5.1538e-04, -1.0031e-02],
          [-6.8775e-03,  4.4198e-03,  1.0150e-02],
          [ 1.4459e-02,  1.4624e-02,  1.9923e-02]],

         ...,

         [[ 2.0421e-02,  1.1741e-03, -2.5642e-02],
          [ 1.3743e-02, -1.2898e-02,  1.0134e-03],
          [ 1.0204e-02,  2.3419e-02,  3.2266e-02]],

         [[ 2.1254e-01,  4.4322e-01,  1.3012e-01],
          [ 1.8062e-01,  2.5420e-01,  1.6705e-01],
          [ 1.2778e-01,  1.6106e-01,  8.3616e-02]],

         [[-1.3363e-02,  2.7762e-01,  2.9898e-02],
          [-2.9637e-02,  2.2313e-02, -7.3613e-03],
          [-2.0917e-02, -3.3166e-02, -3.4201e-02]]],


        [[[ 3.3898e-02,  1.8524e-02,  3.0902e-02],
          [ 1.4382e-02, -4.9093e-02,  4.8752e-04],
          [ 7.4316e-02,  6.7025e-02,  4.9576e-02]],

         [[-3.7089e-02, -2.0213e-02, -1.7752e-02],
          [ 2.4014e-02, -7.6985e-04,  1.4866e-02],
          [ 1.3397e-02,  3.5243e-02,  2.6448e-02]],

         [[ 1.0639e-02,  2.0877e-02, -1.0539e-03],
          [-2.0480e-02, -1.9901e-02,  3.4004e-03],
          [-1.2807e-02, -7.6385e-03, -1.2000e-03]],

         ...,

         [[ 1.9288e-04, -7.3522e-03, -2.2436e-02],
          [ 5.6162e-02,  5.8961e-02,  3.0431e-03],
          [ 1.6627e-01,  5.3356e-02,  9.1078e-03]],

         [[ 1.8117e-02, -8.5008e-02, -1.1007e-01],
          [ 5.1853e-02, -5.9809e-02, -5.0729e-02],
          [ 1.5418e-01,  6.3819e-02,  4.9052e-02]],

         [[-6.3590e-03,  2.3968e-03,  9.7132e-03],
          [-3.3419e-02, -5.4573e-02,  1.4012e-02],
          [-1.5850e-01, -3.0672e-02, -5.5142e-03]]],


        [[[-3.7699e-02, -4.1239e-02, -5.3068e-02],
          [-5.3114e-02, -1.7140e-01, -8.6160e-02],
          [-5.5515e-02, -8.6305e-02, -7.1906e-02]],

         [[ 9.8787e-02, -1.3252e-02, -4.4559e-03],
          [ 1.0078e-02, -3.2660e-02,  4.1410e-02],
          [-9.9623e-03, -1.1542e-02,  4.1027e-02]],

         [[-5.9625e-02, -9.8466e-03, -2.3923e-02],
          [-2.3333e-02, -1.6722e-02,  4.1713e-03],
          [-3.6786e-02, -7.8450e-03, -3.4875e-02]],

         ...,

         [[ 4.7530e-02,  4.8817e-03,  1.7199e-02],
          [-1.0559e-02,  2.7546e-02, -2.8083e-02],
          [ 7.2298e-03, -3.3321e-02, -3.2997e-02]],

         [[ 7.6595e-02,  6.6643e-02,  8.2020e-02],
          [ 1.1730e-02, -2.0673e-02,  1.2068e-01],
          [ 7.9887e-02, -2.2578e-02,  1.2068e-01]],

         [[-6.6492e-02,  1.2087e-01, -2.0709e-02],
          [ 7.3591e-02,  3.5558e-02,  1.1145e-01],
          [-2.2068e-02,  5.3634e-02, -1.4186e-02]]]], device='cuda:0')
calibrate.blocks.1.3.bias tensor([ 1.7870e-04, -3.9135e-04, -6.5273e-05, -4.5845e-04,  1.2389e-04,
         4.4837e-05, -1.9836e-04,  4.2169e-04, -2.6723e-04, -6.2011e-05,
        -4.3996e-04,  2.6971e-04,  1.3760e-04, -6.7283e-04, -2.5375e-04,
        -6.8403e-05], device='cuda:0')
calibrate.blocks.1.4.weight tensor([0.1689, 0.3907, 0.1571, 0.2242, 0.0740, 0.1319, 0.5162, 0.2267, 0.4334,
        0.2630, 0.1918, 0.2495, 0.3131, 0.4189, 0.2731, 0.3770],
       device='cuda:0')
calibrate.blocks.1.4.bias tensor([-0.2439, -0.2652,  0.3641,  0.3597,  0.0169,  0.1432,  0.1594,  0.0060,
        -0.3336,  0.0702,  0.5386,  0.0616, -0.2644, -0.3112,  0.1817, -0.0150],
       device='cuda:0')
calibrate.blocks.1.4.running_mean tensor([ 0.1019,  0.0774,  0.0023, -0.0557, -0.0147, -0.0258, -0.0578,  0.0068,
        -0.0445,  0.0301, -0.0246,  0.0969, -0.0117,  0.0417,  0.0396,  0.0074],
       device='cuda:0')
calibrate.blocks.1.4.running_var tensor([0.0015, 0.0037, 0.0012, 0.0011, 0.0006, 0.0008, 0.0040, 0.0067, 0.0065,
        0.0005, 0.0034, 0.0038, 0.0012, 0.0093, 0.0019, 0.0020],
       device='cuda:0')
calibrate.blocks.1.4.num_batches_tracked tensor(4117500, device='cuda:0')
calibrate.blocks.2.0.weight tensor([[[[-1.2746e-02, -1.7131e-02, -1.6993e-02],
          [-9.5981e-03, -4.1865e-02, -5.9898e-02],
          [-5.1083e-02, -1.7544e-01, -9.3822e-02]],

         [[-9.3860e-02, -9.3980e-02, -1.0666e-01],
          [-9.0790e-02, -8.8989e-02, -9.7385e-02],
          [-8.6563e-02, -8.7418e-02, -8.9045e-02]],

         [[ 2.6752e-02,  6.8243e-02,  9.9005e-02],
          [ 2.5440e-02,  4.9577e-02,  7.7744e-02],
          [-9.6052e-03,  2.4130e-02,  7.2208e-02]],

         ...,

         [[-8.0538e-03, -5.9641e-02, -4.1601e-02],
          [ 1.8595e-02, -1.8137e-02,  2.7688e-03],
          [-1.2597e-02, -2.3614e-02, -2.1115e-02]],

         [[ 3.5548e-02, -6.4282e-02, -1.1685e-01],
          [ 1.5511e-03, -5.1021e-02, -4.7086e-02],
          [ 1.1486e-02, -7.7890e-03,  1.3744e-02]],

         [[ 2.9488e-02, -1.9975e-02, -3.6963e-02],
          [ 4.8116e-02,  6.5519e-02, -3.4455e-02],
          [ 2.0901e-02, -5.1214e-03, -3.7612e-02]]],


        [[[-5.4009e-02, -1.8555e-02, -1.1540e-02],
          [ 6.2621e-02,  1.0244e-01,  8.3960e-02],
          [ 3.8456e-02,  1.0807e-01,  9.0456e-02]],

         [[-5.3967e-02, -7.6410e-03, -8.3695e-04],
          [-1.4062e-02,  2.3699e-02, -1.4328e-02],
          [ 1.3726e-02,  9.6568e-03,  4.2917e-02]],

         [[ 7.8174e-03,  2.9918e-02, -1.1847e-02],
          [-4.2335e-02,  3.1225e-02, -3.8830e-03],
          [-7.0546e-03, -2.4521e-03, -1.0264e-03]],

         ...,

         [[-7.2577e-02, -3.2320e-02, -2.6387e-02],
          [-2.5586e-02, -3.2472e-02,  6.1539e-03],
          [ 2.7307e-02, -5.8800e-02,  3.3360e-02]],

         [[ 8.7626e-02,  7.4033e-02,  3.7749e-02],
          [ 3.4968e-02, -5.1431e-02, -2.3527e-02],
          [ 4.4718e-02,  4.8258e-04, -3.3942e-03]],

         [[-8.2940e-02, -5.1276e-02,  2.3664e-02],
          [-4.5771e-02, -1.9602e-02,  3.1628e-02],
          [ 1.2889e-02, -1.9069e-03,  8.8131e-02]]],


        [[[ 8.8455e-03,  9.4613e-03,  1.3493e-02],
          [-3.8142e-02, -7.8275e-02, -5.1332e-02],
          [ 5.2225e-03,  4.4530e-03, -6.8719e-03]],

         [[-4.8766e-03,  7.0531e-03,  3.8625e-02],
          [-1.2802e-02, -1.2204e-02, -2.2299e-02],
          [-1.2244e-02, -1.2959e-02,  8.8930e-03]],

         [[-2.8179e-02,  2.9491e-04, -1.2496e-02],
          [-3.3142e-02,  3.5192e-02, -3.3404e-02],
          [-4.7651e-02, -2.2134e-02,  2.6159e-03]],

         ...,

         [[-1.0351e-02, -5.3679e-03,  8.5470e-03],
          [-9.9869e-03,  7.4387e-03, -9.8341e-03],
          [-4.9039e-03,  5.6449e-02, -8.9426e-04]],

         [[-1.5441e-02,  1.2125e-02, -2.1482e-02],
          [-2.5319e-03,  3.9276e-02,  3.8164e-03],
          [ 5.8027e-03, -2.2146e-04,  5.3322e-04]],

         [[ 1.3140e-02, -4.5597e-03,  2.7376e-02],
          [ 8.1720e-03, -1.9524e-02,  3.2023e-02],
          [-1.5447e-02, -1.2656e-02,  2.7304e-02]]],


        ...,


        [[[-2.6401e-02, -2.9615e-02, -4.4711e-02],
          [-3.0882e-02, -3.9055e-02, -2.7189e-02],
          [-2.0381e-03,  4.7691e-02, -1.4771e-02]],

         [[-3.3801e-02, -8.3701e-02,  3.2329e-01],
          [-4.1602e-02, -6.6784e-02, -9.4870e-02],
          [-3.6828e-02, -4.9110e-02, -5.5527e-02]],

         [[-2.5711e-02,  1.9675e-02,  1.1932e-01],
          [-1.0986e-01, -1.3716e-01,  2.5810e-02],
          [-1.0539e-01, -2.2897e-02,  1.4856e-01]],

         ...,

         [[-2.2217e-02, -2.4458e-02, -2.7888e-02],
          [-2.8659e-02, -3.3386e-02, -1.2364e-02],
          [-7.6892e-03,  3.0821e-01, -4.2624e-02]],

         [[-8.8994e-03, -1.4413e-01, -2.7966e-01],
          [-1.0754e-02,  3.3973e-02, -1.1952e-01],
          [ 9.3640e-03, -2.2279e-02, -1.7365e-03]],

         [[ 2.3587e-02,  6.2870e-02,  3.1278e-03],
          [ 7.7521e-02, -1.4833e-02,  7.1147e-02],
          [ 3.2018e-02,  1.0146e-01,  2.2009e-02]]],


        [[[-3.4292e-02, -3.1713e-02, -4.4349e-02],
          [-9.0763e-03, -7.7923e-03, -6.3146e-03],
          [-3.8999e-02,  1.9463e-02, -4.9396e-03]],

         [[ 1.3316e-02,  5.2181e-02,  4.8030e-03],
          [-1.2746e-02,  3.0911e-02,  3.5182e-03],
          [ 2.5253e-02,  4.7033e-02,  1.2733e-02]],

         [[ 1.6384e-05,  2.8930e-03,  2.3823e-02],
          [ 4.6155e-02,  2.4494e-01,  4.5445e-02],
          [ 1.0180e-02,  2.6359e-02, -6.0720e-03]],

         ...,

         [[-1.1898e-02,  1.0871e-01,  6.7968e-02],
          [ 1.2257e-01,  1.9175e-01,  1.0613e-01],
          [ 1.5031e-01,  1.4381e-01,  1.2036e-01]],

         [[ 3.3554e-03, -2.4570e-03, -6.5525e-03],
          [ 7.9391e-02,  3.2720e-01,  7.9716e-02],
          [-2.0803e-02,  1.4956e-02,  2.3979e-02]],

         [[-1.6475e-01, -1.6951e-01, -1.3408e-01],
          [-1.9606e-01, -1.9202e-01, -1.7743e-01],
          [-1.2568e-01, -1.4510e-01, -1.5540e-01]]],


        [[[-1.0433e-02,  2.6270e-03, -7.3263e-03],
          [ 3.5344e-02,  1.1530e-01,  8.3413e-02],
          [ 4.5244e-02,  6.1592e-01,  5.2567e-02]],

         [[ 7.8201e-03,  8.9165e-03,  1.5321e-01],
          [ 1.5313e-02,  3.2568e-02,  2.4192e-02],
          [ 8.9546e-03,  1.9700e-02,  1.2917e-02]],

         [[ 3.3806e-02, -2.4553e-02, -5.0536e-02],
          [ 5.9956e-02,  2.8187e-01,  5.5874e-03],
          [ 4.3333e-02,  2.5254e-02, -5.9422e-02]],

         ...,

         [[ 7.4212e-03,  7.5114e-03,  1.4069e-02],
          [ 5.8176e-03,  1.0753e-03, -2.0927e-03],
          [ 1.6208e-02, -6.4006e-02,  1.0097e-02]],

         [[ 3.0360e-02,  6.5721e-02,  1.4988e-01],
          [ 2.8784e-02,  2.6414e-01,  4.0056e-02],
          [ 2.4321e-02,  2.2020e-02,  1.9157e-02]],

         [[-4.6713e-02, -5.3305e-02, -9.7104e-03],
          [-1.2368e-02,  7.5313e-02, -5.2159e-02],
          [-1.5387e-02, -4.6908e-02, -5.5678e-02]]]], device='cuda:0')
calibrate.blocks.2.0.bias tensor([ 2.9318e-06,  9.8884e-06, -1.9158e-05,  4.5905e-04,  8.5034e-05,
         3.7522e-06, -2.2830e-04, -8.6002e-05, -5.8076e-05,  7.4152e-05,
        -1.4836e-04, -3.2376e-05,  6.5907e-06, -7.8521e-06, -1.5364e-04,
         4.1092e-05], device='cuda:0')
calibrate.blocks.2.1.weight tensor([0.2067, 0.0166, 0.0300, 0.0239, 0.0323, 0.1053, 0.2714, 0.4002, 0.1234,
        0.0543, 0.1114, 0.1203, 0.0229, 0.0414, 0.2141, 0.0639],
       device='cuda:0')
calibrate.blocks.2.1.bias tensor([-0.2022,  0.0683,  0.0080,  0.1458,  0.1683, -0.0365, -0.4199, -0.8046,
        -0.1139, -0.0344, -0.2280, -0.3810,  0.0750,  0.0591, -0.9465,  0.2153],
       device='cuda:0')
calibrate.blocks.2.1.running_mean tensor([ 0.2580, -0.3741,  0.0646, -0.6514,  0.5531,  0.5218,  0.5221,  0.5163,
         0.2726, -0.5324,  0.8934,  0.4208, -0.1662, -0.1724,  1.0966, -0.0801],
       device='cuda:0')
calibrate.blocks.2.1.running_var tensor([0.2117, 0.0519, 0.1028, 0.4820, 0.1686, 0.1709, 0.1357, 0.3761, 0.0951,
        0.1861, 0.2812, 0.1019, 0.0720, 0.1861, 0.2394, 0.3227],
       device='cuda:0')
calibrate.blocks.2.1.num_batches_tracked tensor(4117500, device='cuda:0')
calibrate.blocks.2.3.weight tensor([[[[-4.6415e-02, -5.4374e-02, -5.0384e-02],
          [-3.6416e-02, -4.4461e-02, -3.4556e-02],
          [-2.4734e-02, -3.0959e-02, -3.0928e-02]],

         [[ 2.7462e-02, -1.2278e-02,  6.0697e-03],
          [ 4.5281e-03, -1.4345e-02, -1.3334e-03],
          [-8.3361e-03, -7.0953e-03, -3.2439e-02]],

         [[ 2.8025e-02,  7.9051e-02,  2.7577e-02],
          [-1.1256e-02,  1.8672e-02,  9.1839e-04],
          [ 1.0507e-03,  6.3632e-03, -8.3656e-03]],

         ...,

         [[-3.5018e-02, -2.1947e-02, -3.3223e-02],
          [ 3.8519e-02, -2.0801e-02,  2.4510e-02],
          [-9.0534e-03, -3.0576e-02,  1.2760e-03]],

         [[-2.3377e-04,  1.5284e-01, -2.9102e-03],
          [-1.7979e-02,  3.3191e-02,  2.1330e-02],
          [ 1.0251e-02,  8.9485e-03,  9.9651e-04]],

         [[ 2.7212e-02,  2.9835e-01,  2.8847e-02],
          [-1.7626e-02,  4.2174e-02, -1.8753e-02],
          [ 2.9604e-03,  2.7863e-02, -9.6700e-04]]],


        [[[-2.8823e-02, -1.6638e-02,  1.8827e-04],
          [-6.8635e-02, -5.5412e-02, -1.9002e-02],
          [-1.3838e-01, -1.2706e-01, -5.6854e-02]],

         [[ 9.7019e-03,  1.7334e-02, -8.2526e-03],
          [ 2.9737e-02,  3.9985e-02,  3.1709e-03],
          [-7.3403e-02, -1.1300e-02, -2.2881e-02]],

         [[-8.4035e-03, -3.9280e-03, -1.1853e-02],
          [ 2.5103e-02,  1.1516e-02, -1.3490e-02],
          [ 3.1065e-02,  1.0370e-02, -1.3628e-02]],

         ...,

         [[ 1.3100e-02,  1.9440e-03,  1.7922e-03],
          [ 2.2715e-02,  1.9345e-02,  1.7067e-02],
          [ 2.9904e-02,  2.5855e-02,  8.4855e-03]],

         [[ 3.7407e-02,  4.6812e-02,  2.0739e-02],
          [ 6.4471e-02,  1.0178e-01,  4.8366e-02],
          [ 6.7194e-02,  1.0500e-01,  5.4600e-02]],

         [[-1.0293e-02, -2.8592e-03,  1.6992e-03],
          [-1.6377e-02, -3.9661e-02, -7.9989e-03],
          [ 3.2182e-01, -1.7526e-02, -2.0115e-03]]],


        [[[-8.9408e-03, -1.0606e-02, -2.2356e-02],
          [-4.4891e-02, -6.7016e-02, -2.0565e-02],
          [-4.3366e-02, -2.0902e-02,  1.3757e-02]],

         [[-3.7753e-02,  2.3974e-02, -2.6665e-02],
          [-2.2341e-02,  2.2491e-02, -3.3804e-02],
          [-3.7082e-02, -5.5196e-02, -8.0609e-02]],

         [[-2.7916e-02, -1.9524e-02, -4.5456e-02],
          [ 1.8248e-03,  1.2779e-02, -1.4439e-02],
          [-1.9157e-03,  1.5196e-02, -7.2029e-04]],

         ...,

         [[-1.1870e-01,  5.2501e-02,  4.5828e-02],
          [-4.9767e-02,  4.6805e-02,  5.2837e-02],
          [-1.2481e-01, -6.7320e-03,  4.2509e-05]],

         [[ 1.5575e-02, -3.5904e-02, -2.4604e-02],
          [-8.1760e-03, -8.2124e-02, -6.2063e-02],
          [-9.4751e-03, -2.3923e-02, -4.1703e-03]],

         [[ 1.7181e-01, -7.4899e-02, -6.7816e-02],
          [ 2.6263e-03, -6.0434e-02, -4.6688e-02],
          [ 1.5788e-01,  3.3110e-02, -6.4439e-03]]],


        ...,


        [[[-2.5078e-02, -1.3355e-02, -1.2252e-03],
          [-1.1370e-02,  2.9196e-03,  1.1731e-04],
          [-8.7520e-03,  5.2998e-03,  1.2687e-02]],

         [[ 4.4718e-02, -2.5385e-02,  3.4554e-03],
          [ 2.9386e-02, -3.2198e-02,  1.7304e-02],
          [ 5.0931e-03, -3.7927e-02, -3.0001e-02]],

         [[-2.2985e-02,  5.1538e-04, -1.0031e-02],
          [-6.8775e-03,  4.4198e-03,  1.0150e-02],
          [ 1.4459e-02,  1.4624e-02,  1.9923e-02]],

         ...,

         [[ 2.0421e-02,  1.1741e-03, -2.5642e-02],
          [ 1.3743e-02, -1.2898e-02,  1.0134e-03],
          [ 1.0204e-02,  2.3419e-02,  3.2266e-02]],

         [[ 2.1254e-01,  4.4322e-01,  1.3012e-01],
          [ 1.8062e-01,  2.5420e-01,  1.6705e-01],
          [ 1.2778e-01,  1.6106e-01,  8.3616e-02]],

         [[-1.3363e-02,  2.7762e-01,  2.9898e-02],
          [-2.9637e-02,  2.2313e-02, -7.3613e-03],
          [-2.0917e-02, -3.3166e-02, -3.4201e-02]]],


        [[[ 3.3898e-02,  1.8524e-02,  3.0902e-02],
          [ 1.4382e-02, -4.9093e-02,  4.8752e-04],
          [ 7.4316e-02,  6.7025e-02,  4.9576e-02]],

         [[-3.7089e-02, -2.0213e-02, -1.7752e-02],
          [ 2.4014e-02, -7.6985e-04,  1.4866e-02],
          [ 1.3397e-02,  3.5243e-02,  2.6448e-02]],

         [[ 1.0639e-02,  2.0877e-02, -1.0539e-03],
          [-2.0480e-02, -1.9901e-02,  3.4004e-03],
          [-1.2807e-02, -7.6385e-03, -1.2000e-03]],

         ...,

         [[ 1.9288e-04, -7.3522e-03, -2.2436e-02],
          [ 5.6162e-02,  5.8961e-02,  3.0431e-03],
          [ 1.6627e-01,  5.3356e-02,  9.1078e-03]],

         [[ 1.8117e-02, -8.5008e-02, -1.1007e-01],
          [ 5.1853e-02, -5.9809e-02, -5.0729e-02],
          [ 1.5418e-01,  6.3819e-02,  4.9052e-02]],

         [[-6.3590e-03,  2.3968e-03,  9.7132e-03],
          [-3.3419e-02, -5.4573e-02,  1.4012e-02],
          [-1.5850e-01, -3.0672e-02, -5.5142e-03]]],


        [[[-3.7699e-02, -4.1239e-02, -5.3068e-02],
          [-5.3114e-02, -1.7140e-01, -8.6160e-02],
          [-5.5515e-02, -8.6305e-02, -7.1906e-02]],

         [[ 9.8787e-02, -1.3252e-02, -4.4559e-03],
          [ 1.0078e-02, -3.2660e-02,  4.1410e-02],
          [-9.9623e-03, -1.1542e-02,  4.1027e-02]],

         [[-5.9625e-02, -9.8466e-03, -2.3923e-02],
          [-2.3333e-02, -1.6722e-02,  4.1713e-03],
          [-3.6786e-02, -7.8450e-03, -3.4875e-02]],

         ...,

         [[ 4.7530e-02,  4.8817e-03,  1.7199e-02],
          [-1.0559e-02,  2.7546e-02, -2.8083e-02],
          [ 7.2298e-03, -3.3321e-02, -3.2997e-02]],

         [[ 7.6595e-02,  6.6643e-02,  8.2020e-02],
          [ 1.1730e-02, -2.0673e-02,  1.2068e-01],
          [ 7.9887e-02, -2.2578e-02,  1.2068e-01]],

         [[-6.6492e-02,  1.2087e-01, -2.0709e-02],
          [ 7.3591e-02,  3.5558e-02,  1.1145e-01],
          [-2.2068e-02,  5.3634e-02, -1.4186e-02]]]], device='cuda:0')
calibrate.blocks.2.3.bias tensor([ 1.7870e-04, -3.9135e-04, -6.5273e-05, -4.5845e-04,  1.2389e-04,
         4.4837e-05, -1.9836e-04,  4.2169e-04, -2.6723e-04, -6.2011e-05,
        -4.3996e-04,  2.6971e-04,  1.3760e-04, -6.7283e-04, -2.5375e-04,
        -6.8403e-05], device='cuda:0')
calibrate.blocks.2.4.weight tensor([0.1689, 0.3907, 0.1571, 0.2242, 0.0740, 0.1319, 0.5162, 0.2267, 0.4334,
        0.2630, 0.1918, 0.2495, 0.3131, 0.4189, 0.2731, 0.3770],
       device='cuda:0')
calibrate.blocks.2.4.bias tensor([-0.2439, -0.2652,  0.3641,  0.3597,  0.0169,  0.1432,  0.1594,  0.0060,
        -0.3336,  0.0702,  0.5386,  0.0616, -0.2644, -0.3112,  0.1817, -0.0150],
       device='cuda:0')
calibrate.blocks.2.4.running_mean tensor([ 0.1019,  0.0774,  0.0023, -0.0557, -0.0147, -0.0258, -0.0578,  0.0068,
        -0.0445,  0.0301, -0.0246,  0.0969, -0.0117,  0.0417,  0.0396,  0.0074],
       device='cuda:0')
calibrate.blocks.2.4.running_var tensor([0.0015, 0.0037, 0.0012, 0.0011, 0.0006, 0.0008, 0.0040, 0.0067, 0.0065,
        0.0005, 0.0034, 0.0038, 0.0012, 0.0093, 0.0019, 0.0020],
       device='cuda:0')
calibrate.blocks.2.4.num_batches_tracked tensor(4117500, device='cuda:0')
calibrate.out_conv.0.weight tensor([[[[-1.1708e-03, -1.1477e-02, -1.7250e-02],
          [-4.7342e-02,  1.2392e-02, -4.8985e-02],
          [ 1.6179e-02,  4.8851e-01,  1.5849e-02]],

         [[-2.8087e-02, -4.8825e-02,  2.6786e-01],
          [-3.1014e-02, -6.9573e-02, -6.6455e-02],
          [-2.6914e-02, -3.5285e-02, -3.4631e-02]],

         [[-6.3177e-02, -2.3541e-04,  1.1954e-01],
          [-1.0844e-01, -1.0908e-01, -3.7490e-02],
          [-1.2510e-01, -7.1083e-02,  1.4642e-01]],

         [[ 2.5332e-02, -6.9212e-02, -3.6872e-02],
          [-4.3376e-02, -6.8873e-01, -1.1944e-01],
          [-2.6919e-04, -9.0662e-02, -6.6889e-02]],

         [[-1.9109e-03, -3.1877e-02, -2.2938e-02],
          [ 1.0745e-02,  4.3682e-01, -9.5067e-03],
          [-1.3410e-02, -1.4717e-02, -4.0808e-02]],

         [[-1.2498e-02, -1.8633e-04, -5.4980e-03],
          [ 1.8189e-02,  1.4074e-01,  2.9112e-03],
          [ 5.0772e-03,  2.9387e-02,  9.0161e-03]],

         [[-3.3953e-02, -2.9885e-02, -1.7522e-02],
          [-2.0646e-02, -6.8842e-01, -2.6818e-02],
          [-1.4618e-02, -2.9862e-02, -3.0757e-02]],

         [[ 7.3193e-02,  1.1476e-01,  1.0751e-01],
          [ 1.1873e-01,  6.5422e-01,  1.3510e-01],
          [ 7.8952e-02,  1.1293e-01,  4.3626e-02]],

         [[-1.2643e-01, -1.3422e-01, -9.2342e-02],
          [-2.9299e-02, -1.6885e-01, -1.1611e-01],
          [-1.3104e-01, -1.8476e-01, -7.4609e-02]],

         [[-4.0370e-04,  2.9224e-03,  1.6454e-02],
          [ 2.1214e-03,  6.6827e-02,  8.2322e-03],
          [-1.8746e-03,  4.9554e-03,  8.8141e-03]],

         [[ 3.4489e-02,  8.0578e-02, -4.7282e-03],
          [ 6.7612e-02, -1.3016e-01,  1.2420e-01],
          [-3.4642e-02, -2.6472e-01, -7.8707e-02]],

         [[ 5.4155e-02,  7.9416e-02,  5.9889e-02],
          [ 9.4906e-02,  1.4030e-01,  1.6718e-01],
          [ 1.5766e-01,  1.0064e-01,  1.8599e-01]],

         [[ 4.9589e-02,  5.8497e-02,  3.4399e-02],
          [ 4.6806e-02, -4.5280e-01,  5.3884e-02],
          [ 4.6511e-02,  6.9131e-02,  6.5515e-02]],

         [[-1.7144e-02, -2.8360e-02, -2.0860e-02],
          [-2.7364e-02, -2.3738e-02, -2.2243e-02],
          [-2.3552e-02,  2.6230e-01, -3.9957e-02]],

         [[-2.8599e-02, -1.2203e-01, -3.0128e-01],
          [-1.7781e-02, -1.0463e-01, -9.1675e-02],
          [-6.6854e-03, -2.7617e-02,  1.9057e-03]],

         [[ 5.3855e-02,  7.9080e-02,  2.7315e-02],
          [ 9.1138e-02, -1.9414e-02,  9.1555e-02],
          [ 2.8982e-02,  9.6981e-02,  3.8117e-02]]],


        [[[-1.6458e-02, -2.6329e-02, -2.7904e-02],
          [-7.1608e-02, -8.0546e-02, -7.7962e-02],
          [-9.3289e-02,  1.8479e-01, -8.7379e-02]],

         [[-3.1107e-02, -3.7859e-02,  2.7887e-01],
          [-3.2167e-02, -6.8218e-02, -6.1890e-02],
          [-2.7342e-02, -3.7351e-02, -3.6434e-02]],

         [[-4.0747e-02,  1.2488e-02,  1.3262e-01],
          [-1.0100e-01, -6.9398e-02, -2.3919e-02],
          [-1.0479e-01, -5.5883e-02,  1.6082e-01]],

         [[ 3.6351e-02,  2.5599e-02,  4.1661e-03],
          [ 3.9351e-02, -3.4663e-01, -1.3304e-02],
          [ 1.2158e-02, -2.0259e-05, -3.5897e-02]],

         [[-1.7432e-02, -3.7387e-02, -1.5436e-02],
          [-4.8040e-02, -5.3866e-01, -5.1886e-02],
          [-1.8682e-02, -8.2738e-02, -2.0666e-02]],

         [[-3.8344e-02, -8.4876e-02, -2.4007e-02],
          [-6.4997e-02, -2.8710e-01, -6.2688e-02],
          [-1.0793e-02, -4.7264e-02, -1.1660e-02]],

         [[-2.4090e-02, -2.9226e-02, -4.4199e-03],
          [-2.0171e-02, -7.2505e-01, -2.0975e-02],
          [-3.8821e-03, -2.5411e-02, -1.5087e-02]],

         [[ 6.4169e-02,  1.0550e-01,  9.3330e-02],
          [ 1.2496e-01,  6.9580e-01,  1.3878e-01],
          [ 7.1369e-02,  1.0628e-01,  3.8521e-02]],

         [[-1.0213e-01, -9.4278e-02, -8.0354e-02],
          [ 1.6279e-02, -1.2186e-01, -1.0635e-01],
          [-1.3805e-01, -1.7995e-01, -6.6171e-02]],

         [[-7.1553e-04, -3.3323e-03,  6.9102e-03],
          [-1.4440e-03,  5.7727e-03, -1.8282e-03],
          [-9.7189e-04,  2.8439e-04,  3.7395e-03]],

         [[ 4.1368e-02,  7.4967e-02, -6.0665e-03],
          [ 7.1157e-02, -1.3338e-01,  1.2074e-01],
          [-2.7947e-02, -2.7431e-01, -8.7619e-02]],

         [[ 5.1386e-02,  8.7849e-02,  6.3277e-02],
          [ 8.8170e-02,  1.7891e-01,  1.6409e-01],
          [ 1.5360e-01,  7.1449e-02,  1.7669e-01]],

         [[ 5.0499e-02,  6.5870e-02,  2.6686e-02],
          [ 7.0606e-02, -2.8695e-01,  6.5154e-02],
          [ 4.8909e-02,  7.8748e-02,  5.8501e-02]],

         [[-1.2981e-02, -2.5084e-02, -2.0421e-02],
          [-2.3065e-02, -1.3292e-02, -2.2981e-02],
          [-1.4959e-02,  2.9716e-01, -3.6220e-02]],

         [[-1.1661e-02, -1.7238e-01, -3.5149e-01],
          [-1.6819e-02, -1.4671e-01, -1.2426e-01],
          [-1.0119e-02, -1.9374e-02, -2.1340e-03]],

         [[ 4.7995e-02,  7.7977e-02,  1.7638e-02],
          [ 1.0054e-01, -7.5678e-03,  7.7950e-02],
          [ 4.2385e-02,  1.2172e-01,  2.6914e-02]]],


        [[[-2.0259e-02, -2.8563e-02, -2.8965e-02],
          [-5.8643e-02, -7.5762e-02, -7.8874e-02],
          [-6.4009e-02,  3.0958e-01, -7.0868e-02]],

         [[-3.2410e-02, -3.0424e-02,  2.6187e-01],
          [-3.7654e-02, -5.7532e-02, -5.8501e-02],
          [-3.1086e-02, -3.0439e-02, -3.0235e-02]],

         [[-5.2593e-02, -2.2872e-04,  1.1284e-01],
          [-8.9396e-02, -1.0057e-02, -1.2755e-02],
          [-1.1942e-01, -5.6775e-02,  1.3606e-01]],

         [[ 3.2214e-02,  2.3382e-02,  9.1847e-03],
          [ 3.6067e-02, -2.8529e-01,  5.0297e-03],
          [ 1.3906e-02,  1.0460e-02, -2.2856e-02]],

         [[ 5.6013e-03,  8.0307e-03,  8.7412e-03],
          [ 8.6440e-03,  7.7752e-02,  8.4461e-03],
          [ 8.7949e-03,  1.1113e-02, -2.1576e-03]],

         [[-7.9722e-02, -1.3827e-01, -7.2183e-02],
          [-1.3104e-01, -4.3584e-01, -1.4619e-01],
          [-5.1851e-02, -1.1207e-01, -5.2693e-02]],

         [[-2.3053e-02, -2.8679e-02, -8.3562e-03],
          [-3.0373e-02, -4.4959e-01, -2.8400e-02],
          [-6.7535e-03, -2.4795e-02, -1.8597e-02]],

         [[ 6.5943e-02,  1.1298e-01,  9.4506e-02],
          [ 1.3094e-01,  7.0409e-01,  1.3037e-01],
          [ 7.4052e-02,  1.0779e-01,  3.2238e-02]],

         [[-1.0448e-01, -7.0587e-02, -7.5958e-02],
          [ 6.6644e-02, -9.9845e-02, -1.0259e-01],
          [-1.0946e-01, -1.4217e-01, -6.8213e-02]],

         [[-7.9530e-03, -7.4180e-03, -2.6224e-03],
          [-6.1223e-03, -8.7802e-01, -2.8881e-03],
          [-3.9228e-03, -1.5952e-04, -3.7294e-03]],

         [[ 4.5364e-02,  7.3753e-02,  1.7664e-03],
          [ 7.6490e-02, -1.3967e-01,  1.0364e-01],
          [-3.4279e-02, -3.2108e-01, -9.7015e-02]],

         [[ 3.7246e-02,  8.0405e-02,  5.3955e-02],
          [ 8.8435e-02,  1.8806e-01,  1.6135e-01],
          [ 1.7064e-01, -1.4431e-01,  1.7639e-01]],

         [[ 5.1546e-02,  7.9837e-02,  3.2029e-02],
          [ 8.8248e-02,  1.3821e-01,  8.3939e-02],
          [ 5.0897e-02,  8.4687e-02,  6.1019e-02]],

         [[-1.7480e-02, -2.6758e-02, -2.3390e-02],
          [-2.6906e-02, -1.4688e-02, -2.8562e-02],
          [-2.2254e-02,  3.2436e-01, -3.6005e-02]],

         [[-2.8745e-02, -1.5232e-01, -3.3333e-01],
          [-1.8807e-02, -1.7731e-01, -1.3125e-01],
          [-2.5660e-02, -2.9762e-02, -2.8725e-02]],

         [[ 4.2526e-02,  7.3091e-02,  1.3837e-02],
          [ 1.1408e-01,  3.4875e-03,  7.4199e-02],
          [ 7.1872e-02,  1.4231e-01,  2.6426e-02]]]], device='cuda:0')
calibrate.out_conv.0.bias tensor([-0.1978,  0.0788, -0.0374], device='cuda:0')

Process finished with exit code 0

标签:02,03,01,temp,04,cuda,device
From: https://www.cnblogs.com/yyhappy/p/17210644.html

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