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729 730 731 732 | {
"epoch": 9,
"optimizer_state_dict": {
"state": {
"0": {
"step": "tensor(12520.)",
"exp_avg": "tensor([[-6.3960e-05, -6.0342e-06, 2.5991e-05, ..., 7.9031e-06,\n -1.0817e-05, 1.0993e-06],\n [ 8.8662e-06, -1.3754e-05, -6.6039e-06, ..., -7.5104e-06,\n 6.7735e-06, 1.1299e-05],\n [ 2.0843e-05, -5.0735e-05, -6.4116e-05, ..., 4.3576e-05,\n 6.4431e-05, -3.8258e-05],\n ...,\n [-3.0679e-06, -6.5986e-05, -5.2217e-05, ..., 1.6762e-06,\n 6.4565e-05, -6.0786e-05],\n [-5.6052e-45, -5.6052e-45, 5.6052e-45, ..., -5.6052e-45,\n 5.6052e-45, -5.6052e-45],\n [ 1.9304e-05, 9.2353e-05, -7.0835e-05, ..., 7.7714e-05,\n 4.0903e-05, -2.3749e-05]], device='cuda:0')",
"exp_avg_sq": "tensor([[1.4227e-08, 9.8451e-09, 5.8651e-09, ..., 7.5263e-09, 6.9033e-09,\n 6.9766e-09],\n [5.8534e-09, 5.5103e-09, 3.1861e-09, ..., 2.9842e-09, 3.1072e-09,\n 2.1654e-09],\n [1.4612e-08, 1.2444e-08, 1.6592e-08, ..., 1.1548e-08, 9.1652e-09,\n 8.7804e-09],\n ...,\n [1.3218e-08, 1.5949e-08, 2.4706e-08, ..., 1.1718e-08, 9.9901e-09,\n 1.0700e-08],\n [5.9810e-16, 3.1201e-15, 9.4819e-16, ..., 5.5587e-18, 2.9919e-15,\n 1.7631e-17],\n [1.3356e-08, 1.3326e-08, 1.5134e-08, ..., 1.3426e-08, 7.8721e-09,\n 6.7177e-09]], device='cuda:0')"
},
"1": {
"step": "tensor(12520.)",
"exp_avg": "tensor([-9.0691e-04, 7.2409e-04, 3.0193e-03, ..., 1.0748e-03,\n 5.6052e-45, 3.6514e-03], device='cuda:0')",
"exp_avg_sq": "tensor([1.4690e-05, 6.2727e-06, 2.1278e-05, ..., 2.5137e-05, 2.0251e-11,\n 2.1901e-05], device='cuda:0')"
},
"2": {
"step": "tensor(12520.)",
"exp_avg": "tensor([[-2.7164e-05, -1.9900e-07, 9.5126e-07, ..., 9.4927e-06,\n 5.6052e-45, -9.6058e-07],\n [-2.7432e-05, 5.1023e-07, -2.3293e-06, ..., 2.8908e-07,\n -5.6052e-45, -2.5127e-06],\n [-3.1435e-07, -3.2044e-07, -1.2302e-07, ..., 2.4341e-06,\n -5.6052e-45, -1.9378e-07],\n ...,\n [ 5.8933e-07, 1.5870e-07, -7.7837e-07, ..., 9.6177e-07,\n 5.6052e-45, 2.0668e-06],\n [ 3.8947e-06, -6.5624e-09, -9.0244e-06, ..., -9.2989e-07,\n -5.6052e-45, 6.2904e-06],\n [-1.1632e-05, -7.0983e-06, 8.5217e-06, ..., 1.5592e-06,\n 5.6052e-45, 2.1561e-06]], device='cuda:0')",
"exp_avg_sq": "tensor([[1.9624e-09, 2.2615e-10, 1.6196e-09, ..., 6.6825e-09, 4.7686e-16,\n 6.7964e-10],\n [2.0070e-09, 7.9523e-10, 4.2056e-10, ..., 2.2196e-10, 2.6458e-14,\n 4.2702e-09],\n [2.3410e-10, 3.6115e-10, 3.2898e-10, ..., 6.0066e-10, 1.8233e-13,\n 1.4097e-09],\n ...,\n [4.7294e-11, 4.8290e-11, 5.5586e-10, ..., 7.2295e-11, 1.8310e-14,\n 1.7603e-11],\n [5.4413e-10, 2.2035e-11, 1.9991e-10, ..., 3.0986e-10, 3.6935e-17,\n 4.8808e-10],\n [3.3296e-09, 3.1063e-10, 6.0098e-09, ..., 1.7746e-09, 3.2723e-15,\n 2.6791e-09]], device='cuda:0')"
},
"3": {
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-5.4563e-04, -1.3660e-04, 1.0344e-04,\n -2.5862e-04, 1.8876e-04, 2.7539e-04, -2.9561e-04, 1.7747e-04,\n 4.3308e-05, -5.8373e-05, 2.6540e-05, -1.6754e-04, -5.1464e-05,\n 5.2062e-05, -6.8142e-05, 1.2304e-05, -1.4105e-04, -1.4604e-05,\n 2.8377e-06, -3.8877e-05, -5.3468e-05, 1.5921e-04, -1.0798e-04,\n -1.3162e-04, -1.5323e-04, 8.4145e-05, 1.0660e-04, -5.6187e-04,\n -3.3303e-05, -6.9691e-05, -1.6655e-05, -4.8823e-05, -2.5034e-05,\n 5.9345e-05, -1.3957e-05, 6.7960e-05, 1.4905e-04, 2.0097e-04,\n 3.5805e-04, 1.8035e-04, -5.3022e-06, -3.9822e-05, 5.5282e-04,\n 1.3070e-04, 1.3386e-04, 3.2436e-04, 1.5350e-04, 2.6154e-05,\n 1.4979e-05, -3.8418e-05, -1.9032e-04, 7.4158e-05, 6.3868e-05,\n -6.4798e-05, 9.5889e-06, -7.5351e-05, 5.8865e-06, -1.4279e-05,\n 1.6290e-04, 1.6383e-04, 4.6368e-06, -1.1138e-04, 2.8730e-04,\n 9.0168e-05, 3.9317e-04, -7.7682e-05, -2.2131e-04, -5.3471e-05,\n 7.2889e-05, -4.3777e-05, 1.9659e-04, -2.1230e-04, -3.5902e-04,\n 9.0394e-06, 6.1946e-05, -2.6224e-04, -2.8862e-04, 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1.3570e-04, -1.1376e-04, 1.6880e-04, 5.2559e-04,\n -7.0014e-05, -1.8083e-04, -6.5876e-05, -4.1378e-05, 5.8489e-05,\n -1.6953e-04, 3.5184e-05, -1.0442e-04, -2.4437e-05, 2.0582e-04,\n 1.6997e-04, -5.2732e-05, -1.0792e-06, -5.5454e-05, -8.3733e-05,\n -1.9213e-05, -8.9905e-05, 7.2450e-05, 1.7878e-04, 1.3550e-04,\n -1.9496e-05, 1.1908e-04, -3.5069e-04, 2.0520e-04, -3.6586e-04,\n -1.0590e-04, 6.5640e-05, -7.6636e-05, -8.0065e-05, 1.2526e-04,\n -5.9940e-05, 2.7638e-04, -1.4376e-04, 1.3936e-05, -5.2534e-05,\n 4.7914e-04, 1.6016e-05, 1.3879e-04, 2.0653e-04, 5.4986e-05,\n -1.4737e-06, 7.5473e-05, 1.4020e-04, -9.5014e-05, 3.4207e-05,\n 9.7805e-05, 2.9363e-04], device='cuda:0')",
"exp_avg_sq": "tensor([1.8256e-07, 2.1425e-07, 1.8096e-07, 3.1086e-07, 1.5436e-07, 2.5972e-07,\n 1.4867e-07, 2.7652e-07, 1.7006e-07, 1.7839e-07, 3.9224e-07, 2.4319e-07,\n 1.0806e-07, 2.2200e-07, 1.0709e-07, 2.9199e-07, 2.3372e-07, 3.3276e-07,\n 2.1700e-07, 1.4956e-07, 1.4182e-07, 2.2349e-07, 3.9689e-07, 2.1595e-07,\n 3.0088e-07, 3.0177e-07, 3.0431e-07, 4.0482e-07, 1.2525e-07, 1.2114e-07,\n 3.0681e-07, 3.4064e-07, 3.0594e-07, 4.1693e-07, 1.4970e-07, 2.5318e-07,\n 2.2596e-07, 4.0247e-07, 3.4422e-07, 2.9641e-07, 4.3696e-07, 4.2409e-07,\n 3.1674e-07, 1.5198e-07, 3.0235e-07, 3.3255e-07, 8.9036e-10, 1.9861e-07,\n 3.8588e-07, 2.1598e-07, 2.0388e-07, 1.7505e-07, 3.5890e-07, 2.2420e-07,\n 2.3949e-07, 4.0970e-07, 3.1663e-07, 2.9832e-07, 3.6877e-07, 3.3916e-07,\n 2.4072e-07, 3.1500e-07, 2.7670e-07, 2.9994e-07, 2.0455e-07, 1.4815e-07,\n 2.6749e-07, 2.0407e-07, 2.9794e-07, 1.6954e-07, 2.6729e-07, 1.1179e-07,\n 2.4321e-07, 2.9745e-07, 2.0795e-07, 2.8625e-07, 3.4843e-07, 3.0315e-07,\n 3.7308e-07, 2.8408e-07, 2.0312e-07, 2.0092e-07, 2.3537e-07, 2.5766e-07,\n 2.0972e-07, 1.7113e-07, 2.6095e-07, 4.3421e-07, 2.0788e-07, 2.9926e-07,\n 2.1054e-07, 3.3935e-07, 1.9373e-07, 3.1144e-07, 1.0913e-07, 3.9414e-07,\n 3.6177e-07, 4.0089e-07, 4.9945e-07, 1.9958e-07, 3.4982e-07, 2.5925e-07,\n 3.0261e-07, 2.3794e-07, 1.6194e-07, 1.4839e-07, 3.0522e-07, 1.7743e-07,\n 2.0349e-07, 1.8151e-07, 7.4737e-08, 3.7157e-07, 1.5902e-07, 3.3497e-07,\n 2.8562e-07, 3.2404e-07, 2.5718e-07, 3.6781e-07, 2.0814e-07, 1.8925e-07,\n 3.3441e-07, 2.5547e-07, 5.9334e-07, 3.0809e-07, 3.7081e-07, 1.1751e-07,\n 4.0517e-07, 1.8862e-07, 2.1909e-07, 1.4162e-07, 1.1979e-07, 1.7339e-07,\n 2.1070e-07, 1.3662e-07, 1.5900e-07, 2.3966e-07, 3.8422e-07, 2.7259e-07,\n 2.4649e-07, 4.2156e-07, 3.7968e-07, 3.0587e-07, 1.6132e-07, 6.2563e-07,\n 2.5627e-07, 2.9693e-07, 3.4808e-07, 2.3952e-07, 2.3560e-07, 4.3328e-07,\n 3.5887e-07, 3.1825e-07, 1.2514e-07, 3.5611e-07, 1.9743e-07, 9.0684e-08,\n 3.1427e-07, 2.8987e-07, 1.5878e-07, 1.8582e-07, 2.4428e-07, 1.9156e-07,\n 2.1997e-07, 2.2396e-07, 2.8756e-07, 2.1900e-07, 4.5996e-07, 3.1181e-07,\n 3.7335e-07, 1.8851e-07, 3.9430e-07, 1.5814e-07, 7.1152e-08, 3.3474e-07,\n 2.2523e-07, 2.2151e-07, 3.3801e-07, 2.8776e-07, 2.3862e-07, 1.6238e-07,\n 1.5302e-07, 2.3336e-07, 1.9019e-07, 1.3591e-07, 3.5657e-07, 3.3209e-07,\n 3.1976e-07, 2.7448e-07, 2.9121e-07, 2.9496e-07, 3.1630e-07, 4.0501e-07,\n 3.6675e-07, 2.9018e-07, 4.0665e-07, 3.0313e-07, 4.4880e-07, 1.6705e-07,\n 1.4267e-07, 3.9530e-07, 4.0331e-07, 2.1055e-07, 3.1743e-07, 4.3339e-07,\n 1.8589e-07, 2.1722e-07, 1.3684e-07, 4.7503e-07, 1.2302e-07, 1.0313e-07,\n 2.4157e-07, 2.2642e-07, 6.4589e-10, 2.7511e-07, 1.5819e-07, 2.6258e-07,\n 2.6209e-07, 1.4568e-07, 2.8857e-07, 2.8944e-07, 2.2921e-07, 1.9293e-07,\n 1.8708e-07, 2.5509e-07, 3.2730e-07, 3.7669e-07, 4.1516e-07, 2.1599e-07,\n 3.2565e-07, 2.1794e-07, 2.0155e-07, 2.9262e-07, 3.0381e-07, 2.8204e-07,\n 2.9562e-07, 1.8101e-07, 3.2179e-07, 2.3236e-07, 2.7288e-07, 3.1693e-07,\n 1.4705e-07, 3.3113e-07, 2.3241e-07, 2.2905e-07, 1.1740e-07, 2.0800e-07,\n 3.1191e-07, 1.8555e-07, 1.7903e-07, 2.9601e-07, 2.2307e-07, 3.4995e-07,\n 3.1301e-07, 3.5587e-07, 3.8555e-07, 2.8922e-07, 2.2781e-07, 2.0783e-07,\n 3.7546e-07, 2.3805e-07, 3.5527e-07, 3.5037e-07, 2.8838e-07, 2.6903e-07,\n 9.8683e-08, 2.0528e-07, 2.8616e-07, 2.7834e-07, 4.4921e-07, 3.2371e-07,\n 2.9430e-07, 3.0961e-07, 1.9665e-07, 4.7703e-07, 1.3199e-07, 1.4511e-07,\n 1.6614e-07, 3.3142e-07, 2.3435e-07, 1.3907e-07, 3.2215e-07, 2.1930e-07,\n 2.4806e-07, 2.3886e-07, 2.7431e-07, 3.8069e-07, 1.5978e-07, 2.5274e-07,\n 2.3241e-07, 3.9467e-07, 3.3011e-07, 2.9075e-07, 3.8669e-07, 1.6693e-07,\n 1.0705e-07, 3.2581e-07, 2.2301e-07, 2.4748e-07, 3.3591e-07, 2.5318e-07,\n 1.7251e-07, 2.2753e-07, 3.6364e-07, 3.8079e-07, 2.1385e-07, 1.7824e-07,\n 2.1364e-07, 4.4789e-07, 1.8411e-07, 3.2213e-07, 2.4491e-07, 1.7791e-07,\n 1.3328e-07, 2.6314e-07, 3.6003e-07, 3.1611e-07, 1.6867e-07, 3.3040e-07,\n 1.0868e-07, 2.9242e-07, 2.3903e-07, 1.7826e-07, 4.1388e-07, 1.8012e-07,\n 1.6430e-07, 3.0997e-07, 2.7268e-07, 1.8449e-07, 4.0652e-07, 2.5353e-07,\n 3.5883e-07, 3.4857e-07, 2.4792e-07, 1.9784e-07, 3.7018e-07, 2.7227e-07,\n 3.7122e-07, 1.7250e-07, 9.2883e-08, 2.7772e-07, 2.9366e-07, 2.6413e-07,\n 2.6411e-07, 9.2334e-08, 1.7285e-07, 1.8836e-07, 1.3916e-07, 1.0605e-07,\n 1.9253e-07, 2.9649e-07, 2.1877e-07, 2.1372e-07, 2.4435e-07, 2.7261e-07,\n 3.4448e-07, 1.5889e-07, 2.6325e-07, 3.0022e-07, 2.6954e-07, 2.2011e-07,\n 2.7123e-07, 1.1561e-07, 2.6991e-07, 3.4243e-07, 3.4209e-07, 2.0396e-07,\n 2.4188e-08, 3.6758e-07, 1.5635e-07, 3.6905e-07, 2.6259e-07, 3.8687e-07,\n 4.7996e-07, 1.8078e-07, 2.1399e-07, 2.5266e-07, 1.4999e-07, 2.1441e-07,\n 1.4788e-07, 2.1741e-07, 9.1990e-08, 2.6614e-07, 3.7700e-07, 3.6182e-07,\n 3.6236e-07, 2.6526e-07, 3.3645e-07, 1.1933e-07, 2.2411e-07, 3.3755e-07,\n 2.1433e-07, 2.4179e-07, 3.1439e-07, 3.4441e-07, 1.0257e-07, 1.6522e-07,\n 1.9009e-07, 2.2387e-07, 2.0718e-07, 2.9718e-07, 4.3104e-07, 1.5074e-07,\n 3.9462e-07, 1.9716e-07, 4.2145e-07, 2.9546e-07, 2.5878e-07, 4.3282e-07,\n 2.6977e-07, 3.2924e-07, 3.1842e-07, 2.2467e-07, 2.6467e-07, 3.6254e-07,\n 3.0816e-07, 1.7705e-07, 3.1104e-07, 2.2346e-07, 2.1714e-07, 1.9056e-07,\n 1.3208e-07, 2.5582e-07, 2.1585e-07, 1.4291e-07, 4.6411e-07, 2.5803e-07,\n 1.5700e-07, 2.7100e-07, 1.7117e-07, 3.7821e-07, 3.3190e-07, 2.8111e-07,\n 1.8160e-07, 2.7962e-07, 1.7832e-07, 1.5373e-07, 2.8135e-07, 1.4392e-07,\n 1.2374e-07, 1.5946e-07, 3.9163e-07, 2.9864e-07, 1.5609e-07, 1.6107e-07,\n 3.6032e-07, 2.3995e-07, 1.0812e-07, 3.3769e-07, 2.4657e-07, 3.6158e-07,\n 3.8523e-07, 1.2528e-07, 2.2048e-07, 3.0105e-07, 4.2159e-07, 3.1306e-07,\n 1.5309e-07, 2.6877e-07, 1.0997e-07, 2.1401e-07, 2.8960e-07, 2.2950e-07,\n 2.6709e-07, 3.3779e-07, 4.1425e-07, 9.7348e-08, 1.9150e-07, 3.3333e-07,\n 1.7449e-07, 2.9185e-07, 4.2516e-07, 1.4202e-07, 2.8163e-07, 2.7556e-07,\n 2.6623e-07, 1.8766e-07, 2.1143e-07, 3.4654e-07, 1.7227e-07, 2.8115e-07,\n 4.5815e-07, 2.0989e-07, 1.9896e-07, 2.8303e-07, 3.1401e-07, 3.3674e-07,\n 9.0994e-08, 3.1324e-07, 3.4415e-07, 3.7619e-07, 3.6785e-07, 3.0748e-07,\n 2.2138e-07, 3.8593e-07, 2.5920e-07, 1.2004e-07, 2.4800e-07, 4.2623e-07,\n 1.6435e-07, 2.9217e-07, 4.2009e-07, 2.9591e-07, 2.2528e-07, 3.0166e-07,\n 2.8132e-07, 2.9005e-07, 1.2789e-07, 2.5149e-07, 1.3761e-07, 8.1217e-08,\n 1.5388e-07, 2.6906e-07], device='cuda:0')"
},
"4": {
"step": "tensor(12520.)",
"exp_avg": "tensor([[-6.2645e-06, 2.7620e-05, -6.3752e-06, ..., -2.2096e-07,\n 1.1970e-05, 8.1451e-06],\n [-5.5997e-06, -2.0422e-05, 5.4662e-06, ..., -2.0322e-06,\n 3.8756e-06, -6.0927e-06],\n [-1.9815e-06, -3.1985e-05, 1.1588e-05, ..., 5.0815e-07,\n -2.6333e-05, 1.2598e-06],\n ...,\n [-3.2060e-05, -3.0144e-06, 4.5311e-06, ..., -1.0798e-06,\n -5.0732e-05, -9.6518e-06],\n [ 7.6311e-06, -1.6229e-06, -7.7973e-06, ..., -1.1816e-06,\n -6.2412e-05, 9.8432e-06],\n [-1.5716e-05, -9.9179e-05, -1.7823e-05, ..., -3.2049e-06,\n 6.9133e-06, -3.0023e-06]], device='cuda:0')",
"exp_avg_sq": "tensor([[2.4652e-09, 7.9788e-10, 8.8448e-10, ..., 5.6255e-11, 3.4621e-10,\n 2.6910e-09],\n [4.6996e-09, 2.7530e-09, 3.1170e-09, ..., 6.2600e-11, 5.3921e-10,\n 4.2599e-09],\n [3.0225e-09, 2.1399e-09, 1.4565e-09, ..., 1.4477e-10, 1.0545e-09,\n 2.2051e-09],\n ...,\n [1.8733e-08, 1.7064e-09, 4.4232e-09, ..., 8.1151e-11, 2.0680e-09,\n 4.5656e-09],\n [4.0706e-09, 1.4898e-09, 3.2587e-09, ..., 7.6016e-11, 3.5762e-09,\n 5.8001e-09],\n [5.5760e-09, 3.0821e-09, 5.4045e-09, ..., 1.3457e-10, 5.7061e-10,\n 6.1333e-09]], device='cuda:0')"
},
"5": {
"step": "tensor(11268.)",
"exp_avg": "tensor([[-1.8525e-06, 2.0083e-07, 3.1452e-07, ..., 7.3335e-07,\n 0.0000e+00, 5.2947e-07],\n [ 1.7694e-06, -9.4981e-08, 5.4940e-07, ..., -9.8179e-07,\n 0.0000e+00, 4.1946e-08],\n [ 1.5789e-07, -1.6118e-07, 1.0848e-06, ..., 3.7259e-06,\n 0.0000e+00, 2.9067e-06],\n ...,\n [-4.1457e-06, -1.7088e-07, -2.2955e-07, ..., 3.0773e-07,\n 0.0000e+00, 9.7976e-07],\n [-3.9881e-08, -1.9297e-07, -3.0809e-07, ..., -6.9249e-07,\n 0.0000e+00, 6.4987e-08],\n [ 3.2264e-07, 1.2982e-07, 1.1459e-07, ..., -1.1472e-06,\n 0.0000e+00, -1.5853e-06]], device='cuda:0')",
"exp_avg_sq": "tensor([[2.7611e-11, 3.6099e-12, 1.5492e-11, ..., 2.4540e-12, 0.0000e+00,\n 6.1661e-12],\n [1.3127e-11, 5.1008e-12, 1.4483e-11, ..., 2.0982e-11, 0.0000e+00,\n 8.0593e-12],\n [1.1453e-11, 8.4014e-12, 8.0252e-12, ..., 5.5600e-11, 0.0000e+00,\n 6.6102e-11],\n ...,\n [3.4881e-11, 7.9718e-12, 7.6355e-12, ..., 1.5760e-12, 0.0000e+00,\n 3.5873e-12],\n [9.0826e-13, 1.3714e-12, 4.4607e-11, ..., 6.1792e-11, 0.0000e+00,\n 1.2949e-11],\n [2.1942e-12, 9.8990e-12, 7.6443e-12, ..., 2.1875e-10, 0.0000e+00,\n 2.6375e-11]], device='cuda:0')"
},
"6": {
"step": "tensor(11268.)",
"exp_avg": "tensor([ 8.4450e-06, -1.1573e-05, 2.1310e-05, ..., -5.5773e-06,\n 2.5801e-06, 1.5663e-05], device='cuda:0')",
"exp_avg_sq": "tensor([2.8729e-09, 2.0459e-09, 2.6377e-09, ..., 1.2660e-09, 1.7396e-09,\n 1.8250e-09], device='cuda:0')"
},
"7": {
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"38": {
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"exp_avg_sq": "tensor([1.5187e-16, 1.7418e-19, 1.6902e-13, 5.7739e-16, 8.9904e-14, 2.8297e-14,\n 4.9316e-15, 7.2007e-15, 1.8675e-13, 7.3868e-16, 1.4761e-13, 8.5998e-15,\n 2.6909e-16, 1.1597e-15, 2.1058e-17, 1.7048e-15, 1.4910e-14, 2.0922e-14,\n 1.7838e-15, 1.2892e-15, 1.1711e-14, 8.1664e-16, 6.6337e-15, 5.1297e-15,\n 4.7211e-15, 3.1273e-14, 7.3232e-15, 7.4417e-15, 1.8104e-14, 1.8302e-13,\n 2.8596e-14, 2.5165e-14, 3.1561e-13, 3.9863e-16, 3.8927e-15, 1.8965e-15,\n 8.8481e-15, 9.3052e-16, 7.1173e-14, 1.0419e-15, 7.8390e-14, 1.6156e-15,\n 4.3507e-15, 3.4979e-14, 4.3840e-17, 1.7567e-15, 3.8827e-15, 3.5338e-15,\n 1.3736e-15, 4.2210e-14, 8.0917e-15, 1.7268e-14, 1.1906e-13, 4.0773e-15,\n 7.9951e-16, 5.2272e-15, 4.2257e-17, 2.2060e-15, 1.0616e-14, 2.1544e-13,\n 1.5012e-14, 1.2699e-15, 2.5436e-19, 6.1730e-15, 5.6367e-15, 1.1489e-13,\n 9.5783e-16, 3.8587e-15, 1.8567e-15, 8.2341e-15, 6.5675e-15, 6.1851e-15,\n 9.1247e-16, 3.1165e-14, 3.7633e-14, 1.8773e-14, 4.1426e-14, 5.5167e-15,\n 2.8459e-15, 7.7618e-18, 6.5322e-15, 2.0749e-15, 7.1503e-16, 2.6115e-15,\n 4.2895e-15, 2.7359e-17, 4.6596e-14, 1.1949e-14, 2.0194e-15, 7.2043e-18,\n 6.9617e-16, 4.9106e-15, 3.7680e-14, 7.1836e-14, 2.9661e-14, 2.3196e-15,\n 3.0788e-14, 1.3530e-14, 9.0382e-15, 4.0221e-15, 3.7420e-15, 1.6316e-16,\n 8.0276e-16, 5.7792e-14, 3.3770e-14, 3.9143e-14, 9.5567e-15, 2.1369e-16,\n 9.7510e-14, 4.1525e-15, 8.8275e-15, 1.1524e-15, 9.2456e-15, 3.5167e-15,\n 4.8509e-15, 3.1635e-13, 2.1365e-16, 4.1961e-15, 4.1801e-15, 1.2086e-13,\n 6.7483e-14, 7.3396e-15, 1.5462e-14, 4.1012e-15, 1.7197e-15, 2.2589e-14,\n 1.1603e-14, 1.5134e-14, 1.6699e-15, 6.5712e-14, 2.6431e-16, 9.0672e-16,\n 2.9748e-13, 9.0782e-15, 2.6697e-16, 2.9641e-15, 2.3223e-14, 3.8576e-15,\n 1.2637e-13, 2.7545e-13, 3.9806e-15, 1.3201e-14, 2.0041e-15, 3.6607e-16,\n 1.6223e-15, 6.6433e-15, 9.0134e-15, 1.6151e-14, 1.2195e-15, 6.5280e-14,\n 2.5589e-16, 5.2727e-16, 3.2282e-14, 1.3350e-14, 1.2420e-14, 5.8200e-14,\n 6.8779e-16, 2.9191e-14, 3.1846e-16, 1.7646e-15, 1.0686e-16, 3.3560e-14,\n 7.2425e-17, 3.4934e-15, 4.4843e-14, 2.3288e-14, 8.6440e-16, 1.9144e-14,\n 3.0636e-16, 1.5272e-15, 1.8246e-15, 6.3593e-14, 6.3759e-14, 2.7012e-14,\n 1.5966e-14, 4.3335e-15, 5.3243e-14, 8.3904e-14, 3.3399e-16, 5.1200e-18,\n 1.2516e-16, 2.6708e-14, 2.4210e-15, 5.4076e-16, 3.5996e-15, 4.9574e-14,\n 3.9276e-15, 9.8538e-17, 1.6663e-15, 2.5180e-15, 3.7211e-14, 6.2327e-16,\n 2.9014e-14, 1.1292e-13, 1.3526e-14, 7.3219e-15, 1.3521e-15, 1.4623e-14,\n 3.2478e-15, 1.8178e-14, 4.1876e-15, 1.1207e-15, 1.3039e-13, 5.4043e-16,\n 8.4634e-15, 1.9947e-17, 1.4263e-14, 4.7389e-14, 1.8666e-16, 1.5734e-15,\n 4.1937e-14, 1.9534e-15, 1.8864e-14, 1.3659e-13, 1.0918e-13, 1.4110e-14,\n 1.8734e-16, 5.5284e-15, 3.2587e-14, 3.6043e-17, 8.3133e-15, 1.4193e-13,\n 6.1072e-15, 8.2739e-15, 2.1225e-14, 4.3891e-15, 1.7124e-15, 1.0957e-14,\n 4.3003e-15, 7.7113e-15, 3.6258e-15, 2.1638e-14, 5.2819e-15, 3.4504e-15,\n 1.2517e-14, 2.8603e-15, 3.3005e-15, 4.7209e-15, 2.7842e-14, 2.9940e-16,\n 1.0925e-13, 2.1956e-15, 3.5961e-15, 1.4457e-14, 6.4765e-15, 5.1526e-16,\n 1.5431e-14, 1.4876e-13, 5.8184e-14, 1.8268e-13, 2.8620e-15, 1.5188e-14,\n 9.0186e-15, 4.2205e-14, 3.3383e-16, 9.0653e-17], device='cuda:0')"
},
"39": {
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},
"40": {
"step": "tensor(11268.)",
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"exp_avg_sq": "tensor([[6.8036e-21, 2.7845e-19, 1.9085e-17, ..., 7.8653e-18, 0.0000e+00,\n 7.9333e-17],\n [1.8123e-17, 2.1025e-18, 1.8871e-16, ..., 1.1612e-16, 0.0000e+00,\n 5.0431e-17],\n [5.7999e-15, 8.9477e-17, 7.7679e-14, ..., 1.2162e-14, 0.0000e+00,\n 5.5812e-14],\n ...,\n [1.3456e-15, 3.7460e-16, 2.3735e-14, ..., 1.3488e-14, 0.0000e+00,\n 1.2141e-14],\n [7.7572e-18, 1.7120e-17, 2.8716e-16, ..., 2.4899e-17, 0.0000e+00,\n 1.3751e-16],\n [1.4298e-17, 1.8727e-16, 1.2743e-15, ..., 1.4906e-16, 0.0000e+00,\n 1.2532e-15]], device='cuda:0')"
},
"41": {
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"exp_avg_sq": "tensor([6.4470e-16, 1.3765e-14, 2.6147e-11, 1.5243e-14, 5.7434e-12, 8.3110e-12,\n 4.3151e-12, 5.5613e-13, 8.8192e-11, 2.4843e-12, 2.0417e-11, 1.8309e-11,\n 5.4829e-14, 1.7146e-12, 3.5598e-14, 7.1168e-14, 8.2841e-12, 4.6418e-12,\n 9.9192e-13, 2.5180e-13, 1.4616e-12, 1.4562e-13, 9.3085e-12, 4.4165e-12,\n 1.1776e-11, 1.5821e-11, 5.0702e-12, 7.3556e-12, 2.8794e-12, 4.1077e-11,\n 4.3386e-11, 1.4909e-12, 1.7364e-10, 1.5281e-12, 1.8384e-12, 1.6598e-13,\n 6.3454e-12, 1.3472e-13, 4.1410e-12, 1.4662e-12, 1.4158e-11, 1.3421e-13,\n 3.3858e-14, 8.6095e-11, 2.1505e-14, 3.8738e-12, 9.1394e-12, 7.3482e-12,\n 8.3147e-14, 4.8147e-12, 7.2211e-12, 9.3820e-13, 3.0588e-11, 2.0069e-12,\n 9.9352e-13, 2.0543e-11, 6.5780e-13, 1.8757e-12, 3.7982e-11, 3.7374e-11,\n 8.0010e-12, 1.0514e-11, 2.5272e-13, 5.0792e-12, 6.2380e-12, 3.4852e-11,\n 2.1087e-13, 9.1659e-12, 1.9313e-12, 4.4167e-12, 1.6110e-12, 1.7188e-12,\n 4.6064e-12, 4.9407e-11, 1.4934e-11, 4.3673e-11, 9.2591e-12, 1.3173e-12,\n 1.3889e-12, 6.3481e-14, 4.2869e-12, 6.1442e-13, 3.9543e-13, 1.1185e-11,\n 3.2481e-12, 3.2904e-13, 6.5189e-11, 6.5589e-12, 1.8829e-12, 1.5589e-14,\n 1.1811e-13, 4.1768e-12, 7.3458e-12, 2.0223e-12, 7.0228e-11, 2.6837e-13,\n 6.5557e-11, 4.5347e-11, 7.8823e-12, 5.2131e-13, 1.7714e-12, 1.0643e-12,\n 1.1771e-13, 3.3235e-11, 3.8693e-13, 5.5069e-12, 4.3653e-12, 7.3605e-13,\n 4.8007e-12, 2.1745e-11, 5.6031e-12, 3.7666e-13, 2.3362e-11, 2.3881e-12,\n 1.8336e-12, 7.0165e-12, 6.3450e-13, 5.4254e-12, 6.7410e-13, 1.8422e-11,\n 5.0649e-11, 6.4280e-12, 5.7501e-12, 7.4937e-14, 1.3050e-12, 7.3845e-11,\n 5.4200e-13, 4.0525e-12, 1.5345e-12, 4.8567e-12, 5.3847e-14, 1.5432e-12,\n 7.2395e-11, 3.2841e-12, 1.4487e-13, 6.1313e-12, 3.8962e-12, 6.0092e-13,\n 2.0061e-11, 3.5635e-11, 6.4267e-13, 1.7842e-12, 2.5973e-11, 4.3436e-14,\n 9.3879e-13, 5.6760e-12, 1.8163e-12, 2.1373e-11, 3.8714e-13, 1.2511e-11,\n 1.1616e-12, 7.0578e-14, 1.8871e-11, 5.0627e-12, 1.2997e-12, 1.8382e-11,\n 6.6442e-12, 2.5253e-11, 3.6798e-14, 3.2494e-12, 1.4301e-13, 1.7434e-11,\n 1.5953e-14, 2.7917e-11, 3.7036e-12, 1.8556e-11, 1.8980e-12, 6.5761e-12,\n 1.3436e-13, 4.7498e-15, 1.5890e-12, 6.0242e-12, 5.4561e-12, 6.7826e-12,\n 2.5232e-12, 2.1332e-12, 3.0067e-11, 6.7749e-12, 5.6151e-14, 9.9788e-15,\n 6.4753e-13, 6.8810e-12, 8.1312e-14, 7.4658e-13, 3.8487e-13, 8.4649e-11,\n 8.0310e-12, 1.1514e-13, 1.5904e-12, 1.8941e-12, 2.6567e-11, 7.6002e-14,\n 1.1273e-11, 2.8730e-11, 1.8796e-11, 2.2258e-13, 2.6514e-13, 8.2934e-13,\n 8.2395e-12, 2.3246e-11, 1.1899e-11, 1.4033e-13, 5.1835e-11, 6.4631e-15,\n 3.4428e-12, 2.3249e-14, 1.9901e-12, 1.6953e-11, 4.7523e-13, 5.3551e-13,\n 3.1906e-11, 1.0027e-12, 1.2402e-11, 6.8319e-11, 2.2984e-10, 1.7022e-12,\n 2.8141e-13, 1.0538e-11, 5.2185e-12, 6.9709e-15, 4.0920e-12, 9.4407e-11,\n 1.3244e-12, 8.6558e-12, 7.8115e-12, 9.7746e-13, 5.4680e-13, 1.2969e-11,\n 1.6014e-11, 8.0782e-13, 1.5564e-11, 2.3548e-12, 7.4927e-12, 1.0030e-11,\n 8.9276e-12, 4.5397e-12, 2.6013e-12, 5.0583e-12, 1.5273e-12, 2.9417e-13,\n 2.6316e-11, 5.5092e-12, 1.7043e-13, 2.1895e-11, 2.2478e-12, 4.5088e-14,\n 2.0562e-11, 2.5016e-11, 6.2970e-11, 1.9427e-11, 6.0388e-13, 1.4976e-11,\n 1.3641e-12, 2.0007e-11, 2.3748e-13, 1.7140e-12], device='cuda:0')"
},
"42": {
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"exp_avg_sq": "tensor([2.1234e-17, 3.0068e-17, 4.5547e-14, 1.2846e-16, 1.0170e-14, 1.4046e-14,\n 7.2674e-15, 9.0943e-16, 1.5901e-13, 5.3391e-15, 3.2609e-14, 2.9668e-14,\n 1.6347e-16, 2.4224e-15, 1.1064e-16, 1.8819e-16, 1.5626e-14, 1.9387e-14,\n 2.5918e-15, 8.3964e-16, 3.4624e-15, 3.8523e-16, 2.4222e-14, 9.0565e-15,\n 4.2178e-14, 2.4697e-14, 1.0243e-14, 2.2203e-14, 1.1149e-14, 6.7998e-14,\n 8.0174e-14, 3.6646e-15, 3.5007e-13, 1.7042e-15, 3.0545e-15, 2.4772e-16,\n 1.0038e-14, 7.1733e-16, 5.6685e-15, 3.1607e-15, 1.8618e-14, 1.6992e-15,\n 4.4965e-17, 2.8750e-13, 8.8109e-17, 6.8234e-15, 2.5131e-14, 2.9089e-14,\n 2.5332e-16, 7.6496e-15, 1.4032e-14, 1.1750e-15, 5.3433e-14, 3.2346e-15,\n 2.1255e-15, 3.1913e-14, 2.3615e-15, 2.5333e-15, 8.9998e-14, 4.9623e-14,\n 1.1758e-14, 2.8763e-14, 6.7849e-16, 8.0920e-15, 1.5989e-14, 7.6243e-14,\n 6.2181e-16, 1.3499e-14, 3.5758e-15, 4.9398e-15, 2.6293e-15, 3.7866e-15,\n 7.5045e-15, 1.1953e-13, 2.0682e-14, 9.4545e-14, 1.8411e-14, 2.3148e-15,\n 2.7377e-15, 6.7673e-17, 5.2492e-15, 9.2049e-16, 1.2092e-15, 4.4016e-14,\n 4.2216e-15, 1.7892e-15, 1.7341e-13, 2.2926e-14, 4.7421e-15, 9.3584e-17,\n 5.7202e-16, 6.8206e-15, 9.5604e-15, 3.2373e-15, 1.8716e-13, 6.3576e-16,\n 1.6735e-13, 1.1609e-13, 1.4724e-14, 2.0721e-15, 3.4265e-15, 2.2009e-15,\n 3.6207e-16, 6.1844e-14, 1.3836e-15, 7.6293e-15, 5.1177e-15, 1.8950e-15,\n 4.8253e-15, 5.0249e-14, 1.2533e-14, 5.0184e-16, 3.5774e-14, 3.0058e-15,\n 4.6077e-15, 1.1764e-14, 2.3317e-15, 6.0778e-15, 2.5168e-15, 2.5979e-14,\n 9.6308e-14, 1.9065e-14, 6.3542e-15, 1.7208e-16, 3.9849e-15, 1.5007e-13,\n 1.0572e-15, 1.1241e-14, 3.5203e-15, 8.5509e-15, 3.0835e-16, 2.0624e-15,\n 1.3714e-13, 5.3234e-15, 3.7196e-16, 1.2431e-14, 1.0508e-14, 1.3320e-15,\n 3.2183e-14, 5.6518e-14, 1.2912e-15, 2.6943e-15, 4.9650e-14, 2.9003e-16,\n 2.4412e-15, 1.1083e-14, 2.5440e-15, 6.9374e-14, 1.6290e-15, 4.1335e-14,\n 2.2787e-15, 4.3718e-17, 3.8758e-14, 9.6424e-15, 2.4291e-15, 1.9077e-14,\n 1.0499e-14, 3.2375e-14, 5.4211e-17, 6.8756e-15, 1.6884e-15, 3.7948e-14,\n 8.9368e-17, 9.0157e-14, 6.4611e-15, 3.1781e-14, 4.5999e-15, 1.4288e-14,\n 3.0808e-16, 1.3830e-17, 2.2212e-15, 1.4977e-14, 6.8688e-15, 9.4435e-15,\n 5.6448e-15, 4.7166e-15, 6.6270e-14, 1.2626e-14, 1.9852e-16, 2.3864e-17,\n 1.0611e-15, 1.8254e-14, 7.5796e-17, 1.4464e-15, 9.6780e-16, 1.4659e-13,\n 1.0196e-14, 6.2784e-16, 7.0977e-15, 5.0403e-15, 8.1586e-14, 5.6325e-16,\n 1.6887e-14, 6.2074e-14, 3.2935e-14, 6.6749e-16, 2.5664e-16, 1.5828e-15,\n 1.2935e-14, 5.5142e-14, 2.7901e-14, 7.8857e-16, 8.8479e-14, 1.5010e-16,\n 3.7997e-15, 4.3977e-17, 2.5374e-15, 3.5998e-14, 1.9475e-15, 8.3504e-16,\n 9.6844e-14, 1.0437e-15, 1.6487e-14, 1.3950e-13, 6.6441e-13, 2.5022e-15,\n 4.9461e-16, 1.8729e-14, 7.5915e-15, 6.3076e-18, 4.0583e-15, 1.6902e-13,\n 3.4789e-15, 2.7056e-14, 1.4124e-14, 1.5937e-15, 1.4268e-15, 2.7118e-14,\n 2.7697e-14, 1.2526e-15, 1.9774e-14, 4.8577e-15, 1.5566e-14, 2.0737e-14,\n 1.4284e-14, 8.3601e-15, 4.2393e-15, 9.9480e-15, 2.3474e-15, 5.8946e-16,\n 5.4205e-14, 1.3872e-14, 1.6619e-15, 3.0417e-14, 2.3237e-15, 2.9859e-16,\n 5.5991e-14, 6.0185e-14, 1.4853e-13, 3.1719e-14, 9.7684e-16, 3.2288e-14,\n 2.0587e-15, 4.5507e-14, 6.1489e-16, 7.2878e-15], device='cuda:0')"
},
"43": {
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},
"44": {
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"exp_avg_sq": "tensor([[1.8837e-18, 3.1945e-18, 1.2736e-17, ..., 2.2859e-18, 0.0000e+00,\n 5.0502e-17],\n [8.1939e-18, 1.0124e-18, 9.2588e-17, ..., 6.0307e-17, 0.0000e+00,\n 2.7694e-16],\n [1.5964e-14, 1.9042e-15, 1.2136e-13, ..., 7.5678e-14, 0.0000e+00,\n 2.0002e-13],\n ...,\n [4.2555e-15, 5.1611e-16, 2.9096e-14, ..., 1.3738e-14, 0.0000e+00,\n 1.4968e-14],\n [1.8505e-17, 1.1228e-17, 4.1032e-17, ..., 3.0705e-16, 0.0000e+00,\n 1.8519e-16],\n [4.0727e-18, 1.7285e-18, 1.5401e-16, ..., 1.1582e-16, 0.0000e+00,\n 7.8799e-18]], device='cuda:0')"
},
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"exp_avg_sq": "tensor([7.9241e-15, 1.9546e-14, 9.9506e-11, 3.2360e-15, 3.3004e-11, 2.0608e-11,\n 4.9018e-12, 2.8881e-12, 1.0053e-10, 2.0831e-12, 2.6596e-12, 9.4841e-12,\n 1.1493e-13, 2.1525e-12, 4.6033e-13, 8.3460e-13, 7.5251e-12, 1.8510e-12,\n 2.5899e-13, 8.2761e-14, 7.0879e-12, 3.4270e-13, 9.5433e-12, 1.0143e-12,\n 8.6997e-12, 3.1041e-11, 3.7945e-12, 3.8995e-12, 1.3913e-12, 3.1169e-11,\n 1.0843e-12, 4.2025e-12, 1.6364e-10, 1.9875e-12, 1.0694e-12, 6.1327e-14,\n 1.0731e-11, 6.2050e-14, 6.6116e-12, 2.1062e-12, 5.0076e-12, 1.8663e-13,\n 5.5824e-14, 1.5522e-11, 5.0485e-15, 5.7787e-12, 2.5554e-12, 3.4328e-12,\n 6.5303e-13, 2.4833e-12, 2.0885e-11, 1.3242e-12, 8.1560e-12, 1.5130e-12,\n 8.4114e-13, 4.1184e-11, 2.4309e-13, 3.4977e-12, 4.3590e-12, 7.4955e-11,\n 7.7367e-12, 7.3242e-12, 3.8915e-13, 1.1700e-11, 6.8184e-12, 2.6008e-11,\n 7.5336e-14, 1.4159e-11, 1.0286e-12, 3.4379e-12, 3.5084e-12, 1.0309e-11,\n 4.2182e-13, 2.7717e-11, 2.9710e-11, 2.4216e-11, 1.6982e-12, 1.7866e-12,\n 5.1511e-13, 1.6160e-13, 7.1383e-12, 5.0577e-13, 7.8483e-13, 5.6390e-13,\n 7.1062e-12, 1.8075e-14, 2.1990e-11, 3.1039e-12, 1.6819e-12, 6.6563e-15,\n 4.5052e-14, 3.8531e-12, 1.1434e-11, 7.7605e-12, 2.2687e-11, 1.2984e-12,\n 3.6085e-11, 2.3900e-11, 1.1319e-12, 1.2441e-12, 4.0152e-12, 1.4176e-12,\n 2.5628e-12, 3.7252e-11, 5.4500e-12, 5.0948e-12, 8.0100e-12, 5.5443e-13,\n 5.5716e-12, 8.3933e-13, 2.1454e-13, 1.3549e-12, 1.3561e-12, 3.3914e-12,\n 5.5541e-13, 7.5377e-12, 8.9061e-13, 4.0688e-11, 3.8220e-13, 2.3584e-11,\n 4.3651e-11, 3.4576e-12, 3.0938e-11, 1.8135e-13, 1.5402e-12, 5.6775e-11,\n 3.0904e-12, 1.6233e-12, 1.6523e-12, 5.0673e-12, 1.4036e-13, 2.4254e-12,\n 1.2834e-10, 1.1369e-11, 1.7652e-13, 7.6975e-12, 4.5241e-12, 4.8111e-12,\n 4.1451e-11, 1.7598e-11, 3.5970e-12, 7.9793e-13, 1.1234e-11, 6.5868e-14,\n 4.5539e-14, 8.1656e-12, 5.8563e-12, 6.9893e-12, 1.1226e-13, 1.7867e-12,\n 2.3618e-12, 1.2088e-15, 9.1252e-12, 2.2106e-12, 4.2176e-13, 4.6283e-11,\n 2.7702e-12, 1.1545e-11, 3.2851e-14, 1.3724e-12, 3.1507e-13, 2.8098e-11,\n 5.2491e-14, 1.3954e-11, 4.8732e-11, 8.8889e-12, 1.4111e-12, 7.4843e-12,\n 1.1856e-13, 2.5821e-15, 6.4829e-12, 1.4943e-11, 3.6207e-11, 4.1576e-12,\n 5.0157e-12, 9.4214e-14, 1.3020e-11, 3.1314e-12, 2.6250e-13, 3.1764e-13,\n 7.7968e-13, 7.8124e-12, 3.4825e-14, 2.4092e-13, 1.0801e-12, 1.4236e-10,\n 2.2420e-12, 3.0886e-14, 3.5767e-13, 1.1357e-12, 2.2903e-11, 9.6892e-14,\n 1.6910e-11, 5.4298e-12, 2.9648e-12, 3.4732e-12, 2.9936e-13, 8.6075e-12,\n 6.0521e-12, 9.8921e-12, 8.9928e-12, 4.4497e-14, 4.5309e-11, 1.4277e-14,\n 5.8528e-12, 2.6474e-14, 3.1374e-12, 1.3721e-11, 3.4838e-13, 2.7369e-12,\n 9.4356e-12, 3.3264e-12, 3.1315e-11, 4.5349e-11, 8.1510e-11, 1.1565e-11,\n 1.4909e-12, 1.9397e-12, 5.7276e-11, 3.0898e-13, 5.5186e-12, 7.9992e-11,\n 4.4689e-13, 6.1861e-12, 7.3624e-11, 1.1372e-12, 1.6538e-12, 7.7097e-12,\n 1.2270e-11, 4.2093e-12, 4.7402e-12, 3.5530e-12, 7.1923e-12, 2.6532e-12,\n 8.0408e-12, 1.0540e-11, 1.1985e-12, 8.9123e-13, 5.4950e-12, 1.6481e-13,\n 5.0216e-11, 3.5187e-12, 2.1703e-13, 2.6493e-11, 8.1593e-12, 3.7793e-14,\n 9.8143e-12, 3.9687e-12, 8.8609e-11, 6.2742e-11, 1.3552e-12, 3.8646e-12,\n 1.5629e-12, 2.4470e-11, 4.9858e-13, 1.3616e-13], device='cuda:0')"
},
"46": {
"step": "tensor(11268.)",
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"exp_avg_sq": "tensor([3.2221e-17, 2.3780e-16, 2.2105e-13, 4.4502e-18, 5.7181e-14, 3.8518e-14,\n 8.5349e-15, 9.1733e-15, 2.1897e-13, 5.0435e-15, 5.1417e-15, 1.6252e-14,\n 2.1843e-16, 3.5596e-15, 1.0637e-15, 3.0561e-15, 1.4958e-14, 3.8395e-15,\n 6.3977e-16, 4.3558e-16, 1.0857e-14, 1.7651e-15, 2.7146e-14, 1.6526e-15,\n 2.9408e-14, 3.7856e-14, 7.7684e-15, 7.3837e-15, 7.4168e-15, 6.0152e-14,\n 3.4436e-15, 8.1554e-15, 3.3546e-13, 2.7615e-15, 1.6998e-15, 2.9954e-16,\n 1.7507e-14, 1.1380e-15, 9.9424e-15, 5.3986e-15, 7.2674e-15, 2.8193e-16,\n 1.3108e-16, 2.9988e-14, 9.7396e-18, 1.2368e-14, 3.4146e-15, 1.0136e-14,\n 2.1498e-15, 3.3743e-15, 3.7161e-14, 1.6617e-15, 9.6183e-15, 2.3121e-15,\n 4.3459e-15, 1.1476e-13, 7.9065e-16, 5.3319e-15, 7.0912e-15, 1.5180e-13,\n 1.0942e-14, 1.1974e-14, 1.2795e-15, 1.2299e-14, 1.3653e-14, 4.1547e-14,\n 1.6777e-16, 2.3135e-14, 1.5251e-15, 5.0312e-15, 6.3649e-15, 2.5431e-14,\n 4.9046e-16, 4.7807e-14, 7.5061e-14, 3.6039e-14, 2.3256e-15, 2.3971e-15,\n 6.7792e-16, 1.1010e-16, 1.0003e-14, 6.9985e-16, 1.5180e-15, 8.1027e-16,\n 1.8185e-14, 1.3120e-16, 3.0670e-14, 1.3191e-14, 3.7638e-15, 1.7384e-17,\n 6.3621e-18, 7.0876e-15, 2.0757e-14, 1.1330e-14, 2.7984e-14, 1.2147e-15,\n 6.7419e-14, 3.7497e-14, 2.2319e-15, 4.8152e-15, 8.1164e-15, 2.7867e-15,\n 5.9513e-15, 8.7768e-14, 1.0010e-14, 6.8157e-15, 1.1766e-14, 1.1253e-15,\n 5.0218e-15, 2.0101e-15, 6.8028e-16, 5.4253e-15, 4.8569e-15, 4.5639e-15,\n 6.9823e-16, 2.0864e-14, 2.5707e-15, 1.3948e-13, 1.5823e-15, 5.5167e-14,\n 7.8781e-14, 7.5435e-15, 7.3501e-14, 2.0559e-15, 4.5517e-15, 1.2382e-13,\n 2.7912e-15, 1.8520e-15, 3.6641e-15, 9.9568e-15, 4.3837e-16, 3.8521e-15,\n 4.6215e-13, 1.2873e-14, 4.6035e-16, 1.7221e-14, 1.6966e-14, 9.8406e-15,\n 1.0068e-13, 1.8308e-14, 7.3890e-15, 1.9142e-15, 1.8010e-14, 2.1470e-16,\n 1.5325e-16, 2.7532e-14, 9.3528e-15, 1.0999e-14, 3.1553e-16, 2.6652e-15,\n 7.8695e-15, 1.5046e-17, 1.1709e-14, 3.4353e-15, 6.5927e-16, 6.6015e-14,\n 3.7573e-15, 1.5267e-14, 3.2925e-17, 2.5951e-15, 6.9435e-16, 5.8913e-14,\n 5.5021e-16, 3.1213e-14, 1.1712e-13, 1.1651e-14, 3.0052e-15, 1.6543e-14,\n 4.9977e-16, 9.0270e-17, 1.2791e-14, 6.5730e-14, 8.1586e-14, 5.7642e-15,\n 1.3801e-14, 2.5489e-16, 1.7707e-14, 4.8065e-15, 1.7173e-15, 1.8022e-15,\n 1.9385e-15, 1.9680e-14, 1.1710e-16, 6.0444e-16, 4.8995e-15, 3.9662e-13,\n 2.7069e-15, 1.0599e-16, 5.5688e-16, 3.7629e-15, 6.9629e-14, 4.1602e-16,\n 2.6357e-14, 7.7124e-15, 6.5353e-15, 8.6329e-15, 4.4826e-16, 1.2106e-14,\n 8.2894e-15, 1.3775e-14, 1.7414e-14, 2.2226e-16, 5.2368e-14, 9.3278e-17,\n 9.4145e-15, 8.0152e-17, 4.6441e-15, 2.3519e-14, 2.5581e-15, 5.9930e-15,\n 1.4540e-14, 4.3575e-15, 6.9603e-14, 6.9764e-14, 1.2537e-13, 3.0654e-14,\n 3.4575e-15, 2.6722e-15, 1.1362e-13, 1.1116e-15, 8.0064e-15, 1.9330e-13,\n 1.0896e-15, 1.5530e-14, 2.0358e-13, 1.9662e-15, 7.9374e-15, 9.0728e-15,\n 2.0246e-14, 8.4919e-15, 8.6440e-15, 4.9153e-15, 1.8549e-14, 4.6651e-15,\n 1.1298e-14, 2.1960e-14, 1.8951e-15, 1.4055e-15, 1.0752e-14, 4.4425e-16,\n 1.6073e-13, 5.8103e-15, 9.0563e-16, 3.8933e-14, 8.9763e-15, 9.2670e-17,\n 1.8807e-14, 4.6141e-15, 2.2445e-13, 2.5750e-13, 2.0312e-15, 4.4503e-15,\n 2.6517e-15, 6.0416e-14, 1.2384e-15, 2.6802e-16], device='cuda:0')"
},
"47": {
"step": "tensor(11268.)",
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},
"48": {
"step": "tensor(11268.)",
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"exp_avg_sq": "tensor([[1.1352e-17, 2.0626e-18, 3.2239e-17, ..., 3.7569e-17, 0.0000e+00,\n 5.0946e-18],\n [2.2881e-18, 9.3955e-18, 1.1877e-16, ..., 1.6057e-16, 0.0000e+00,\n 2.8070e-16],\n [1.8980e-14, 3.7107e-16, 7.9353e-14, ..., 2.0159e-14, 0.0000e+00,\n 1.1383e-13],\n ...,\n [2.5054e-15, 1.0374e-16, 2.8864e-14, ..., 8.5446e-15, 0.0000e+00,\n 9.1856e-15],\n [3.1177e-16, 3.6359e-19, 9.4639e-18, ..., 3.9731e-17, 0.0000e+00,\n 4.0726e-17],\n [1.1707e-18, 6.9542e-19, 2.5897e-16, ..., 2.1996e-17, 0.0000e+00,\n 1.7356e-16]], device='cuda:0')"
},
"49": {
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"exp_avg_sq": "tensor([9.7074e-15, 8.4739e-14, 4.5459e-11, 4.7209e-14, 7.4147e-12, 2.3895e-11,\n 1.1208e-11, 2.5251e-12, 1.1931e-12, 2.4389e-12, 3.1478e-11, 9.2699e-12,\n 1.7307e-12, 6.1868e-12, 2.6861e-14, 1.7546e-12, 4.6655e-12, 2.2068e-12,\n 3.5258e-13, 7.9562e-13, 1.1407e-11, 2.2033e-13, 9.3112e-13, 3.5118e-12,\n 5.8817e-12, 3.0710e-12, 4.8675e-12, 9.9004e-12, 1.7665e-12, 1.7846e-11,\n 2.4188e-11, 2.8251e-11, 1.5341e-10, 4.8359e-13, 6.6895e-12, 1.3319e-13,\n 1.3697e-11, 2.2618e-13, 5.0532e-11, 1.4660e-12, 8.0680e-12, 1.8885e-13,\n 8.3608e-13, 3.2911e-11, 1.4984e-14, 1.6554e-12, 7.0559e-12, 4.8729e-12,\n 9.5765e-13, 9.2834e-12, 1.7130e-11, 5.7221e-12, 1.8691e-11, 1.5239e-12,\n 1.9374e-12, 4.2922e-11, 1.4852e-13, 6.5507e-12, 3.4238e-11, 4.2493e-11,\n 5.4331e-12, 4.8454e-12, 1.9277e-13, 3.3510e-11, 1.5998e-12, 4.4522e-11,\n 5.4091e-14, 1.1303e-11, 6.3632e-12, 6.3911e-12, 1.3135e-11, 2.1166e-11,\n 5.6491e-12, 1.5607e-11, 6.8964e-12, 2.6405e-11, 1.5133e-11, 5.9661e-12,\n 9.1863e-13, 3.5415e-14, 3.1450e-11, 2.2760e-12, 1.8144e-12, 1.2206e-11,\n 2.8732e-12, 4.2165e-13, 6.8155e-11, 2.0992e-12, 2.4031e-12, 1.0226e-13,\n 2.5338e-14, 2.5834e-12, 9.6755e-12, 2.1273e-12, 5.9385e-11, 1.8328e-12,\n 3.5148e-11, 4.8572e-11, 7.0016e-12, 4.2317e-12, 4.2796e-12, 1.8152e-12,\n 8.0959e-13, 1.4026e-11, 8.1052e-12, 5.7312e-12, 8.2805e-12, 6.3858e-13,\n 5.3826e-12, 6.4865e-12, 3.0654e-12, 7.6821e-13, 3.7586e-11, 9.4421e-13,\n 1.1766e-12, 3.7463e-11, 1.2125e-12, 7.7899e-12, 1.4163e-12, 2.3996e-12,\n 8.1095e-11, 6.7266e-12, 3.0222e-11, 5.3976e-13, 3.2111e-13, 9.4800e-11,\n 1.2372e-11, 6.4626e-13, 3.2550e-13, 1.3815e-11, 2.0089e-15, 2.8278e-12,\n 4.9681e-11, 3.1397e-11, 1.2766e-13, 3.1757e-12, 7.6783e-12, 2.5984e-12,\n 2.8098e-11, 2.0552e-11, 3.2856e-12, 2.9949e-12, 1.3961e-11, 2.1596e-14,\n 1.0695e-12, 1.6129e-12, 1.0349e-12, 1.7090e-11, 9.9508e-13, 1.6254e-12,\n 2.2522e-12, 2.9376e-12, 6.6404e-12, 5.0107e-12, 1.9254e-12, 2.2871e-11,\n 5.0864e-13, 7.4981e-11, 2.7005e-14, 1.3875e-12, 5.6270e-13, 1.9278e-12,\n 2.8955e-14, 3.5073e-12, 2.1674e-11, 1.4135e-11, 8.6892e-13, 4.0320e-12,\n 4.0693e-15, 7.0351e-13, 3.2681e-13, 6.0221e-12, 4.8332e-12, 5.9759e-12,\n 3.1472e-12, 7.8831e-13, 2.5789e-11, 1.5031e-11, 1.4833e-13, 3.7917e-14,\n 4.0953e-12, 1.1100e-11, 3.1086e-14, 2.3807e-12, 1.6592e-12, 3.2570e-11,\n 6.5686e-13, 1.6829e-13, 1.7680e-12, 7.6805e-13, 3.2768e-12, 3.8176e-14,\n 7.7533e-12, 2.5366e-12, 1.7931e-11, 2.1839e-12, 1.0009e-12, 7.2528e-12,\n 3.5241e-11, 3.4000e-12, 4.9903e-12, 1.0581e-13, 6.0200e-11, 1.3413e-14,\n 7.4542e-12, 3.0299e-14, 8.1999e-12, 8.1505e-12, 3.4362e-13, 5.0447e-12,\n 4.7551e-11, 2.8192e-12, 3.3529e-12, 4.0090e-11, 1.5893e-10, 2.0186e-12,\n 1.6566e-12, 1.6784e-12, 8.3836e-11, 9.1958e-14, 1.5563e-12, 1.5991e-10,\n 2.1606e-13, 1.2180e-11, 5.7288e-11, 9.9476e-13, 1.7140e-12, 2.5180e-11,\n 6.1308e-12, 1.8264e-12, 3.3422e-11, 7.2023e-12, 4.1228e-13, 2.6615e-12,\n 1.1448e-11, 1.1361e-11, 1.7014e-12, 2.1190e-12, 1.2374e-12, 7.7797e-13,\n 7.0346e-12, 5.2606e-12, 4.2974e-13, 7.2566e-11, 9.6976e-12, 8.9040e-14,\n 7.9561e-12, 3.2749e-11, 4.0929e-11, 3.5675e-11, 1.1271e-12, 3.8958e-12,\n 1.5570e-12, 1.4829e-11, 1.6097e-13, 4.1223e-14], device='cuda:0')"
},
"50": {
"step": "tensor(11268.)",
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"exp_avg_sq": "tensor([7.5161e-18, 3.2417e-16, 6.7381e-14, 7.1437e-16, 6.4176e-15, 5.4490e-14,\n 3.1147e-14, 5.5932e-15, 1.1664e-14, 4.2085e-15, 6.7246e-14, 1.6491e-14,\n 7.5282e-15, 1.1251e-14, 1.1000e-16, 6.2764e-15, 7.7828e-15, 4.3851e-15,\n 1.3557e-15, 1.4576e-15, 2.1276e-14, 3.5980e-16, 1.7946e-15, 4.9664e-15,\n 1.1145e-14, 6.3362e-15, 6.2196e-15, 4.3180e-14, 1.1520e-14, 2.1722e-14,\n 3.2215e-14, 6.2595e-14, 2.1653e-13, 5.7028e-16, 2.6025e-14, 1.8488e-16,\n 2.7411e-14, 1.6935e-15, 1.5950e-13, 2.0093e-15, 8.3066e-15, 5.4595e-16,\n 1.4960e-15, 4.9496e-14, 1.3414e-18, 1.9241e-15, 1.6870e-14, 1.0598e-14,\n 4.8612e-15, 1.5498e-14, 3.3978e-14, 1.0972e-14, 3.3345e-14, 1.9363e-15,\n 4.1192e-15, 9.9610e-14, 3.8548e-16, 1.8762e-14, 4.9160e-14, 5.4923e-14,\n 5.8179e-15, 7.0227e-15, 3.1932e-16, 6.2177e-14, 2.4993e-15, 1.2984e-13,\n 1.5160e-16, 1.4347e-14, 1.6139e-14, 7.5905e-15, 3.1037e-14, 4.9519e-14,\n 1.3862e-14, 2.0974e-14, 9.0383e-15, 4.0017e-14, 3.1495e-14, 8.6095e-15,\n 1.2842e-15, 1.0717e-16, 5.2886e-14, 6.5543e-15, 4.8536e-15, 4.4202e-14,\n 3.6407e-15, 1.1200e-15, 1.4523e-13, 2.3290e-15, 4.5804e-15, 1.5834e-16,\n 1.5985e-18, 4.8335e-15, 1.5532e-14, 4.0917e-15, 1.2350e-13, 2.6559e-15,\n 4.6763e-14, 1.0577e-13, 9.7787e-15, 2.4542e-14, 8.0957e-15, 3.1915e-15,\n 1.3863e-15, 2.4524e-14, 1.4708e-14, 8.4338e-15, 1.3881e-14, 1.9359e-15,\n 7.0694e-15, 7.6874e-15, 4.9027e-15, 1.0514e-15, 6.6820e-14, 8.4742e-16,\n 1.2980e-15, 5.4787e-14, 3.0449e-15, 1.3339e-14, 5.0948e-15, 3.9880e-15,\n 1.9991e-13, 9.6664e-15, 6.9496e-14, 4.5320e-15, 9.5460e-16, 2.7071e-13,\n 3.4532e-14, 1.2416e-15, 9.0878e-16, 3.5242e-14, 7.8519e-18, 6.0198e-15,\n 6.9224e-14, 5.5490e-14, 3.3889e-16, 4.8035e-15, 2.5986e-14, 3.0227e-15,\n 5.0702e-14, 2.6918e-14, 6.5423e-15, 5.1314e-15, 1.8199e-14, 1.5389e-16,\n 1.5068e-15, 2.4658e-15, 8.1754e-16, 5.4884e-14, 3.3098e-15, 2.6643e-15,\n 6.6734e-15, 6.7834e-15, 1.0744e-14, 8.8811e-15, 4.2474e-15, 4.7379e-14,\n 8.6664e-16, 1.7680e-13, 3.6993e-17, 1.9283e-15, 1.2641e-15, 4.4244e-15,\n 1.2190e-16, 5.9446e-15, 4.5334e-14, 2.5169e-14, 9.0794e-16, 6.1427e-15,\n 5.3386e-17, 1.7291e-15, 5.1797e-16, 1.3432e-14, 7.0209e-15, 9.3851e-15,\n 5.8898e-15, 1.1520e-15, 3.9713e-14, 2.4310e-14, 1.6556e-15, 1.3808e-16,\n 1.4804e-14, 3.1149e-14, 5.6152e-17, 4.5944e-15, 6.4669e-15, 3.9752e-14,\n 1.5151e-15, 3.7299e-16, 5.5258e-15, 1.3405e-15, 4.9918e-15, 1.9306e-16,\n 9.2315e-15, 3.8055e-15, 3.3350e-14, 4.0148e-15, 1.4613e-15, 1.0548e-14,\n 1.1539e-13, 5.3202e-15, 1.0442e-14, 6.4257e-16, 7.1057e-14, 1.9243e-16,\n 1.8330e-14, 2.5551e-17, 2.6726e-14, 9.3251e-15, 2.2891e-15, 1.4846e-14,\n 1.4192e-13, 4.2735e-15, 8.1576e-15, 4.1608e-14, 2.6323e-13, 3.4532e-15,\n 3.5396e-15, 1.5263e-15, 2.5176e-13, 2.8912e-16, 1.2635e-15, 3.5150e-13,\n 5.6330e-16, 4.0634e-14, 1.2275e-13, 1.6102e-15, 3.2467e-15, 6.5383e-14,\n 6.0400e-15, 2.6158e-15, 6.4990e-14, 1.4492e-14, 7.1409e-16, 3.5298e-15,\n 1.8839e-14, 2.7794e-14, 3.4056e-15, 3.5335e-15, 1.9351e-15, 1.8319e-15,\n 9.0593e-15, 1.0745e-14, 1.9642e-15, 1.6441e-13, 1.5184e-14, 8.0277e-16,\n 1.1993e-14, 7.2284e-14, 5.6527e-14, 7.3144e-14, 1.7943e-15, 6.4641e-15,\n 1.3361e-15, 2.0806e-14, 3.4331e-16, 2.2775e-16], device='cuda:0')"
},
"51": {
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},
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-5.6052e-45, -5.6052e-45, 5.6052e-45, -5.6052e-45, -5.6052e-45,\n 5.6052e-45, -5.6052e-45, 5.6052e-45, -5.6052e-45, -5.6052e-45,\n 5.6052e-45, 5.6052e-45, 5.6052e-45, 5.6052e-45, -5.6052e-45,\n 5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45, -5.6052e-45,\n 5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45,\n -5.6052e-45, 5.6052e-45, 5.6052e-45, 5.6052e-45, 5.6052e-45,\n -5.6052e-45, -5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45,\n -5.6052e-45, 5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45,\n -5.6052e-45, -5.6052e-45, -5.6052e-45, -5.6052e-45, -5.6052e-45,\n 5.6052e-45, 5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45,\n 5.6052e-45, -5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45,\n -5.6052e-45, 5.6052e-45, 5.6052e-45, 5.6052e-45, -5.6052e-45,\n -5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45, -5.6052e-45,\n 5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45, -5.6052e-45,\n 5.6052e-45, 5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45,\n 5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45,\n 5.6052e-45, 5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45,\n 5.6052e-45, 5.6052e-45, 5.6052e-45, 5.6052e-45, 5.6052e-45,\n -5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45,\n 5.6052e-45, 5.6052e-45, 5.6052e-45, 5.6052e-45, -5.6052e-45,\n 5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45, -5.6052e-45,\n -5.6052e-45, -5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45,\n 5.6052e-45, 5.6052e-45, -5.6052e-45, -5.6052e-45, -5.6052e-45,\n -5.6052e-45, 5.6052e-45, 5.6052e-45, -5.6052e-45, -5.6052e-45,\n -5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45,\n -5.6052e-45, -5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45,\n -5.6052e-45, -5.6052e-45, -5.6052e-45, -5.6052e-45, -5.6052e-45,\n -5.6052e-45, -5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45,\n 5.6052e-45, 5.6052e-45, 5.6052e-45, 5.6052e-45, -5.6052e-45,\n 5.6052e-45, 5.6052e-45, -5.6052e-45, -5.6052e-45, -5.6052e-45,\n 5.6052e-45, 5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45,\n 5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45, -5.6052e-45,\n -5.6052e-45, -5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45,\n 5.6052e-45, 5.6052e-45, 5.6052e-45, 5.6052e-45, 5.6052e-45,\n 5.6052e-45, 5.6052e-45, 5.6052e-45, 5.6052e-45, -5.6052e-45,\n 5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45, -5.6052e-45,\n 5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45, -5.6052e-45,\n -5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45,\n 5.6052e-45, -5.6052e-45, 5.6052e-45, -5.6052e-45, -5.6052e-45,\n 5.6052e-45, 5.6052e-45, 5.6052e-45, 5.6052e-45, 5.6052e-45,\n 5.6052e-45, 5.6052e-45, 5.6052e-45, 5.6052e-45, 5.6052e-45,\n 5.6052e-45, 5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45,\n 5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45, -5.6052e-45,\n 5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45,\n 5.6052e-45, 5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45,\n 5.6052e-45, 5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45,\n -5.6052e-45, -5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45,\n -5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45,\n 5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45, -5.6052e-45,\n 5.6052e-45, -5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45,\n -5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45, 5.6052e-45,\n -5.6052e-45, -5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45,\n -5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45, 5.6052e-45,\n -5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45, 5.6052e-45,\n 5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45, -5.6052e-45,\n 5.6052e-45, 5.6052e-45, -5.6052e-45, -5.6052e-45, -5.6052e-45,\n -5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45, -5.6052e-45,\n -5.6052e-45, 5.6052e-45, 5.6052e-45, 5.6052e-45, -5.6052e-45,\n -5.6052e-45, -5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45,\n 5.6052e-45, 5.6052e-45, 5.6052e-45, 5.6052e-45, -5.6052e-45,\n 5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45,\n -5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45, -5.6052e-45,\n -5.6052e-45, -5.6052e-45, -5.6052e-45, -5.6052e-45, -5.6052e-45,\n -5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45, 5.6052e-45,\n 5.6052e-45, 5.6052e-45, -5.6052e-45, -5.6052e-45, -5.6052e-45,\n -5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45,\n -5.6052e-45, 5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45,\n -5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45, -5.6052e-45,\n 5.6052e-45, -5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45,\n 5.6052e-45, -5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45,\n -5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45, -5.6052e-45,\n 5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45,\n 5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45,\n -5.6052e-45, -5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45,\n -5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45, -5.6052e-45,\n -5.6052e-45, 5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45,\n 5.6052e-45, 5.6052e-45, 5.6052e-45, 5.6052e-45, -5.6052e-45,\n 5.6052e-45, -5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45,\n 5.6052e-45, 5.6052e-45, 5.6052e-45, -5.6052e-45, -5.6052e-45,\n -5.6052e-45, 5.6052e-45, 5.6052e-45, 5.6052e-45, -5.6052e-45,\n 5.6052e-45, 5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45,\n -5.6052e-45, 5.6052e-45, 5.6052e-45, 5.6052e-45, -5.6052e-45,\n -5.6052e-45, -5.6052e-45, 5.6052e-45, -5.6052e-45, -5.6052e-45,\n -5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45, -5.6052e-45,\n 5.6052e-45, -5.6052e-45, 5.6052e-45, -5.6052e-45, -5.6052e-45,\n 5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45,\n -5.6052e-45, 5.6052e-45, 5.6052e-45, 5.6052e-45, -5.6052e-45,\n -5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45,\n -5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45,\n -5.6052e-45, 5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45,\n 5.6052e-45, 5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45,\n 5.6052e-45, 5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45,\n -5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45,\n 5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45, -5.6052e-45,\n -5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45, 5.6052e-45,\n 5.6052e-45, -5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45,\n -5.6052e-45, 5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45,\n -5.6052e-45, 5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45,\n -5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45, -5.6052e-45,\n 5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45, 5.6052e-45,\n -5.6052e-45, -5.6052e-45, 5.6052e-45, -5.6052e-45, -5.6052e-45,\n -5.6052e-45, 5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45,\n 5.6052e-45, -5.6052e-45, -5.6052e-45, 5.6052e-45, -5.6052e-45,\n -5.6052e-45, 5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45,\n -5.6052e-45, 5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45,\n 5.6052e-45, 5.6052e-45, -5.6052e-45, 5.6052e-45, -5.6052e-45,\n -5.6052e-45, -5.6052e-45, 5.6052e-45, -5.6052e-45, -5.6052e-45,\n 5.6052e-45, 5.6052e-45, -5.6052e-45], device='cuda:0')",
"exp_avg_sq": "tensor([1.5030e-16, 1.2033e-16, 3.6158e-16, 4.3927e-17, 1.7953e-16, 2.8655e-16,\n 8.1683e-17, 3.4874e-16, 8.5335e-16, 2.8842e-15, 1.0427e-16, 4.3297e-17,\n 1.2022e-15, 3.2846e-16, 2.2252e-15, 1.3137e-18, 2.2382e-16, 5.0257e-17,\n 5.9053e-16, 1.6287e-15, 1.3915e-16, 3.6341e-19, 6.2304e-18, 3.4628e-17,\n 2.1056e-16, 1.4621e-16, 3.1464e-16, 4.4039e-16, 4.0741e-17, 3.3485e-16,\n 9.2019e-16, 1.0668e-16, 6.3573e-16, 1.0061e-15, 2.2585e-15, 1.3883e-15,\n 3.5670e-16, 3.7955e-16, 6.9729e-16, 1.5652e-16, 2.7827e-17, 4.8357e-16,\n 5.0564e-16, 2.4417e-18, 3.0529e-15, 1.4523e-15, 1.3821e-17, 4.3511e-18,\n 1.6472e-16, 5.1954e-16, 5.6672e-16, 3.5148e-16, 4.0218e-16, 1.8270e-16,\n 1.6649e-15, 6.2191e-16, 9.2419e-17, 1.7225e-15, 1.3198e-17, 3.2820e-16,\n 4.8614e-16, 1.2252e-16, 1.0234e-17, 3.1667e-15, 7.9721e-17, 1.9019e-15,\n 1.1794e-17, 1.9913e-15, 3.6852e-16, 3.7442e-15, 4.4203e-15, 1.0713e-16,\n 1.0662e-15, 2.9442e-15, 2.0987e-15, 1.9514e-16, 5.1911e-15, 1.9877e-15,\n 7.2849e-15, 1.9621e-17, 2.0797e-16, 6.2376e-16, 2.4694e-16, 8.3332e-16,\n 2.6343e-15, 9.6957e-17, 1.9619e-16, 6.3558e-16, 7.5790e-15, 1.8197e-16,\n 1.4372e-15, 1.0229e-17, 5.9640e-15, 5.7337e-15, 9.8354e-16, 8.2919e-16,\n 6.5541e-18, 1.0609e-15, 1.0897e-15, 8.2907e-16, 2.4169e-15, 5.8989e-18,\n 3.1290e-17, 1.2344e-17, 6.3702e-18, 1.0085e-16, 2.5662e-17, 1.4676e-16,\n 5.9641e-16, 1.8918e-15, 2.9047e-16, 1.5169e-16, 8.6972e-17, 4.7852e-16,\n 1.3167e-16, 1.8321e-15, 6.8405e-16, 1.3351e-15, 2.0841e-15, 7.0428e-16,\n 2.8270e-17, 6.6832e-18, 1.3307e-15, 1.7973e-16, 1.2319e-16, 7.0940e-17,\n 2.3100e-15, 3.7267e-16, 5.7320e-17, 2.1158e-15, 9.0282e-17, 2.5541e-16,\n 3.6162e-16, 1.4009e-15, 2.6499e-15, 2.4433e-17, 1.0154e-16, 2.0166e-16,\n 1.4468e-16, 3.7966e-18, 5.9881e-16, 1.6655e-16, 4.8718e-17, 2.1894e-18,\n 4.8273e-16, 7.6731e-16, 1.1443e-15, 5.0164e-16, 8.8946e-17, 3.6526e-16,\n 8.5643e-18, 1.2143e-15, 1.2618e-17, 3.6602e-17, 1.8230e-15, 8.9932e-16,\n 2.9312e-18, 1.8087e-18, 1.2083e-16, 8.0881e-16, 3.6040e-15, 2.2355e-16,\n 2.1654e-16, 1.1455e-16, 3.1717e-16, 3.7409e-16, 3.0559e-16, 5.9733e-16,\n 6.9244e-18, 7.4796e-17, 8.5160e-16, 1.7150e-16, 2.1619e-16, 1.2649e-15,\n 7.9487e-19, 9.1414e-16, 1.1979e-15, 1.0900e-15, 9.2516e-18, 6.0697e-17,\n 6.9439e-17, 4.4130e-16, 1.1301e-18, 2.8590e-17, 2.0601e-16, 2.4062e-15,\n 2.2992e-16, 3.7554e-17, 1.0109e-15, 1.1461e-16, 9.8784e-17, 8.2893e-16,\n 5.8375e-16, 6.9525e-16, 3.7795e-16, 1.0749e-15, 1.2974e-18, 7.8222e-17,\n 5.8334e-16, 6.6346e-16, 1.1030e-17, 1.7091e-15, 8.1652e-17, 9.8791e-16,\n 5.3649e-17, 4.2069e-17, 1.6441e-17, 3.2359e-16, 2.0820e-15, 6.6790e-17,\n 3.4020e-16, 5.4958e-16, 1.3166e-15, 1.3994e-16, 7.2739e-18, 1.5676e-16,\n 9.1442e-17, 8.8781e-17, 4.4403e-17, 9.9208e-17, 2.5303e-17, 6.8817e-15,\n 1.8271e-15, 1.1357e-15, 3.4298e-18, 3.7691e-17, 3.7616e-16, 1.2152e-15,\n 3.6036e-15, 1.1500e-15, 4.0552e-17, 2.2085e-16, 1.2777e-15, 1.1181e-17,\n 7.3198e-16, 5.5802e-16, 1.5095e-15, 3.2981e-16, 2.3810e-16, 4.9127e-17,\n 9.8406e-17, 4.3789e-17, 1.1635e-15, 2.9990e-16, 2.8872e-16, 2.0398e-15,\n 3.5957e-16, 3.4429e-18, 7.8661e-16, 7.9789e-16, 3.3263e-15, 6.8238e-16,\n 9.7932e-16, 5.3557e-16, 8.3972e-19, 4.2418e-16, 2.2978e-30, 5.6272e-32,\n 3.5795e-31, 6.5112e-32, 3.6775e-31, 1.0948e-31, 5.9114e-31, 1.4252e-32,\n 3.2284e-31, 5.0209e-31, 4.6983e-31, 1.2069e-32, 3.0504e-34, 2.5644e-32,\n 1.4422e-31, 1.0778e-32, 2.5042e-31, 1.9182e-32, 2.2839e-31, 5.4957e-32,\n 3.5313e-33, 1.7712e-31, 1.0017e-32, 2.0640e-31, 2.9222e-33, 1.7662e-31,\n 3.9021e-31, 1.6875e-32, 1.0185e-30, 3.4740e-31, 5.6510e-32, 8.1403e-32,\n 1.0426e-31, 6.2391e-31, 5.8241e-32, 4.8005e-32, 1.9514e-32, 1.0576e-31,\n 2.8486e-31, 5.6322e-32, 9.9889e-33, 1.1582e-31, 2.3294e-32, 5.1514e-32,\n 4.8687e-32, 4.3910e-31, 1.7973e-31, 6.0212e-32, 6.4553e-32, 4.0085e-32,\n 8.0251e-32, 2.6591e-31, 2.6820e-31, 3.3614e-31, 1.3690e-31, 3.1483e-32,\n 2.7990e-31, 4.8179e-31, 6.6033e-31, 2.8822e-31, 2.3279e-31, 1.6134e-31,\n 1.1100e-32, 9.9905e-32, 7.5284e-34, 3.8992e-31, 1.0324e-30, 3.2184e-31,\n 8.6953e-33, 5.1672e-32, 3.1419e-31, 1.0506e-31, 1.7039e-31, 1.0248e-32,\n 8.7771e-32, 4.7469e-32, 1.6700e-31, 4.7043e-31, 1.6206e-30, 5.9368e-31,\n 6.4312e-32, 4.8721e-31, 5.9019e-32, 7.8748e-31, 9.6346e-32, 8.8921e-32,\n 7.9163e-31, 2.7524e-31, 1.4262e-31, 1.8249e-32, 3.1875e-32, 1.7352e-31,\n 1.8200e-31, 3.8298e-32, 1.4797e-31, 1.0522e-32, 1.3969e-32, 4.5730e-31,\n 2.4023e-32, 1.3766e-31, 2.0612e-31, 1.4378e-32, 1.2560e-31, 1.1868e-31,\n 4.7636e-32, 6.5361e-32, 4.0790e-32, 6.8090e-31, 2.7658e-31, 4.9247e-32,\n 3.7666e-32, 2.0032e-31, 2.1691e-31, 4.0737e-31, 1.7157e-31, 8.0285e-31,\n 2.2048e-31, 2.9869e-31, 6.9457e-31, 8.5282e-31, 5.1603e-31, 2.7181e-31,\n 3.2067e-31, 1.5703e-31, 3.5956e-32, 3.2210e-32, 1.7887e-30, 2.1014e-33,\n 3.3977e-31, 2.0228e-32, 7.9469e-32, 9.6858e-32, 2.4937e-31, 8.0578e-32,\n 2.1133e-32, 2.3733e-35, 5.4267e-33, 3.1921e-32, 7.1651e-32, 1.8620e-31,\n 1.7708e-32, 4.2068e-31, 1.6117e-30, 1.8194e-31, 5.2056e-31, 6.9364e-32,\n 2.8462e-31, 7.8503e-31, 3.6172e-31, 2.4241e-32, 2.6104e-32, 1.0572e-30,\n 1.8203e-31, 2.0464e-31, 9.4908e-33, 1.3021e-31, 4.5077e-31, 1.4760e-31,\n 7.7344e-34, 2.0358e-31, 5.9918e-32, 5.8322e-32, 3.3106e-31, 3.0603e-32,\n 2.1393e-32, 1.8568e-31, 1.2279e-31, 7.8630e-33, 7.2293e-32, 8.4171e-31,\n 4.9711e-32, 1.7274e-30, 8.7889e-31, 1.2384e-32, 2.8634e-31, 9.0804e-31,\n 8.9851e-31, 3.3965e-32, 4.2621e-32, 7.4448e-32, 5.2262e-32, 2.2482e-31,\n 4.4529e-33, 2.2671e-31, 1.1597e-31, 2.9173e-32, 1.0585e-31, 1.9580e-33,\n 3.6657e-31, 2.2449e-33, 4.5086e-31, 2.5167e-31, 2.7764e-31, 6.3070e-31,\n 5.7491e-31, 2.0839e-32, 1.1747e-30, 1.0670e-31, 2.7191e-31, 5.8718e-32,\n 1.7371e-33, 9.8444e-32, 1.3547e-31, 2.2597e-31, 2.6092e-32, 8.0985e-32,\n 5.3230e-33, 1.2284e-31, 1.8476e-31, 8.0932e-33, 3.6226e-31, 6.8792e-33,\n 2.0772e-31, 7.7433e-32, 3.9628e-31, 1.8137e-31, 1.0331e-32, 8.2072e-32,\n 1.9596e-31, 5.3454e-32, 5.9271e-32, 1.0799e-31, 2.1131e-31, 1.2406e-31,\n 1.6344e-31, 4.7275e-33, 2.1180e-31, 2.2774e-31, 6.0832e-31, 6.1756e-31,\n 1.5357e-32, 1.1305e-31, 1.6125e-32, 1.0779e-31, 2.3072e-33, 2.9735e-32,\n 3.5686e-32, 1.9041e-31, 6.5518e-33, 9.6570e-33, 4.2447e-32, 4.7439e-31,\n 3.3868e-32, 9.7281e-32, 2.5881e-32, 3.2417e-31, 6.6878e-31, 6.9631e-35,\n 6.3654e-31, 4.4801e-31, 6.1304e-31, 2.8852e-33, 1.0090e-31, 6.9146e-31,\n 3.0461e-32, 1.3644e-32, 8.7774e-13, 1.3257e-12, 1.3948e-14, 1.1140e-11,\n 3.0310e-12, 7.6036e-13, 1.9167e-12, 5.4003e-12, 1.0748e-13, 1.3425e-12,\n 8.8795e-12, 2.1071e-14, 6.2435e-13, 2.2625e-12, 1.1229e-11, 2.5434e-13,\n 3.3244e-12, 1.1169e-11, 7.6740e-13, 1.2850e-12, 3.5772e-12, 6.3275e-15,\n 4.7045e-12, 1.4372e-11, 9.0587e-13, 1.5664e-11, 3.3139e-13, 2.5054e-12,\n 2.0597e-12, 9.4364e-12, 2.0146e-12, 2.1854e-14, 3.5533e-13, 2.3128e-14,\n 4.3272e-12, 6.0001e-12, 6.0114e-12, 9.2311e-13, 1.7581e-13, 5.8776e-12,\n 1.1147e-11, 5.5990e-12, 6.6264e-12, 5.1708e-12, 2.2461e-12, 1.4722e-14,\n 4.0249e-12, 1.1462e-12, 5.4942e-12, 3.9154e-12, 2.1914e-11, 4.2620e-12,\n 7.2631e-13, 3.3762e-14, 1.8755e-12, 1.8706e-12, 1.2011e-11, 1.0250e-12,\n 2.8729e-12, 2.9027e-12, 2.9765e-12, 1.1425e-12, 1.0990e-12, 8.0734e-13,\n 3.1215e-13, 2.5147e-14, 6.5295e-12, 2.4350e-12, 3.3112e-12, 4.2946e-12,\n 3.1049e-13, 1.0072e-13, 6.1339e-14, 1.4566e-11, 4.7155e-13, 1.9892e-11,\n 3.8108e-12, 1.1045e-11, 5.0680e-12, 5.1284e-13, 3.2115e-12, 3.7494e-11,\n 1.3118e-12, 8.2886e-12, 3.0112e-13, 1.1266e-11, 4.0708e-12, 2.5800e-13,\n 7.2271e-14, 4.5091e-12, 6.5587e-12, 3.0592e-12, 2.2141e-14, 6.2799e-12,\n 1.6082e-11, 7.9256e-13, 3.3866e-13, 6.5728e-12, 6.1881e-13, 6.2210e-13,\n 8.3281e-13, 3.9140e-12, 1.0479e-13, 5.1375e-13, 1.3881e-12, 1.3860e-11,\n 8.3876e-12, 1.1941e-12, 1.2706e-13, 1.4892e-12, 6.7140e-13, 2.2397e-12,\n 4.1851e-12, 2.3187e-13, 3.2135e-12, 4.4724e-12, 1.1827e-12, 5.5869e-13,\n 7.8950e-12, 1.5476e-13, 5.5090e-13, 3.0284e-11, 5.5404e-12, 1.9130e-11,\n 6.9026e-12, 2.2893e-12, 1.7021e-13, 2.7997e-13, 3.4591e-12, 3.8778e-12,\n 2.1636e-12, 3.0590e-12, 7.6568e-13, 1.2954e-14, 3.3105e-12, 1.2383e-12,\n 1.7781e-12, 8.1996e-12, 9.2527e-13, 1.8089e-13, 1.4636e-15, 6.7807e-12,\n 2.9350e-12, 6.8403e-14, 2.0160e-12, 1.6296e-12, 4.2521e-13, 1.4501e-11,\n 6.1924e-13, 1.1190e-14, 1.9146e-12, 2.1659e-11, 1.1248e-12, 9.1855e-13,\n 8.5893e-12, 2.5763e-13, 9.7622e-14, 1.6231e-12, 1.4121e-15, 2.7524e-12,\n 6.9283e-12, 9.7786e-12, 2.8271e-13, 1.8488e-12, 2.5766e-12, 4.6350e-12,\n 2.1998e-12, 1.0678e-12, 1.7747e-13, 1.1593e-11, 7.1484e-13, 1.4957e-11,\n 9.4621e-12, 7.1391e-13, 2.4101e-12, 6.2597e-13, 3.8636e-14, 7.9300e-13,\n 6.4669e-12, 2.4944e-14, 4.4979e-12, 1.2853e-11, 3.3945e-14, 3.0572e-12,\n 8.4930e-12, 7.9902e-12, 2.1601e-12, 1.2484e-12, 9.7515e-14, 8.2193e-12,\n 1.4984e-13, 2.7828e-12, 1.2613e-11, 1.3055e-11, 2.2725e-12, 3.8277e-12,\n 6.8286e-12, 1.6506e-11, 1.5939e-13, 7.3215e-12, 9.0980e-13, 4.5850e-13,\n 1.6999e-11, 1.1662e-12, 5.3875e-13, 2.0797e-12, 6.7420e-13, 1.2232e-12,\n 1.9007e-12, 6.2310e-13, 3.5893e-12, 2.6925e-12, 8.6406e-12, 6.6996e-13,\n 9.9942e-14, 2.7192e-11, 8.5598e-13, 1.6101e-11, 3.2666e-14, 1.7603e-12,\n 1.3775e-12, 6.1187e-12, 6.9856e-12, 4.1244e-12, 8.9290e-12, 3.1637e-13,\n 5.6616e-12, 7.5024e-13, 3.4891e-11, 2.2587e-13, 8.2396e-13, 3.4299e-12,\n 3.5050e-12, 2.0482e-12, 7.1594e-12, 2.5906e-12, 7.2651e-13, 6.4472e-13,\n 4.3733e-12, 2.6201e-14, 6.3702e-12, 2.4042e-13, 5.9099e-16, 1.1925e-12,\n 6.0651e-12, 8.0081e-14, 1.6027e-12, 1.5621e-13, 2.1099e-13, 1.4163e-12,\n 5.0702e-12, 3.6620e-12, 2.7557e-12, 1.1961e-11, 3.6146e-12, 1.0546e-12],\n device='cuda:0')"
},
"54": {
"step": "tensor(11268.)",
"exp_avg": "tensor([[ 5.6052e-45, 5.6052e-45, -5.6052e-45, ..., 5.6052e-45,\n -5.6052e-45, -5.6052e-45],\n [ 5.6052e-45, 5.6052e-45, -5.6052e-45, ..., 5.6052e-45,\n -5.6052e-45, -5.6052e-45],\n [ 5.6052e-45, 5.6052e-45, -5.6052e-45, ..., 5.6052e-45,\n -5.6052e-45, -5.6052e-45],\n ...,\n [ 5.6052e-45, 5.6052e-45, -5.6052e-45, ..., 5.6052e-45,\n -5.6052e-45, -5.6052e-45],\n [-5.6052e-45, 5.6052e-45, 5.6052e-45, ..., 5.6052e-45,\n 5.6052e-45, 5.6052e-45],\n [ 5.6052e-45, 5.6052e-45, -5.6052e-45, ..., 5.6052e-45,\n -5.6052e-45, -5.6052e-45]], device='cuda:0')",
"exp_avg_sq": "tensor([[2.4202e-13, 7.9313e-15, 5.5237e-15, ..., 1.8325e-14, 9.7267e-14,\n 1.2686e-13],\n [1.2758e-13, 5.8437e-15, 4.1798e-15, ..., 1.5476e-14, 5.5270e-14,\n 7.2375e-14],\n [2.3338e-12, 5.2914e-14, 4.6270e-14, ..., 7.6578e-14, 9.3305e-13,\n 1.1718e-12],\n ...,\n [7.3406e-13, 1.8380e-14, 1.3340e-14, ..., 3.3773e-14, 2.9351e-13,\n 3.8971e-13],\n [1.8208e-14, 1.3790e-15, 4.2671e-16, ..., 6.9496e-15, 7.1599e-15,\n 6.6839e-15],\n [4.1155e-14, 3.3339e-15, 2.5957e-15, ..., 1.1174e-14, 2.0243e-14,\n 2.1292e-14]], device='cuda:0')"
},
"55": {
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