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params.py
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params.py
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from collections import OrderedDict
from torch import tensor
param_dict = OrderedDict([('fc1.weight', tensor([[-2.8166303e-01, 4.0739566e-02, 1.9166327e-01, 9.1894865e-03,
-4.3766022e-02, 3.0433023e-01],
[-5.0952470e-01, -6.4167553e-01, -8.1402409e-01, -1.6008747e+00,
-6.3120946e-02, -3.1282113e+00],
[-1.2048666e+00, -1.5046313e+00, -1.4219263e+00, -1.4992827e+00,
-2.6522291e-01, -2.6438971e+00],
[-3.3182740e-01, 5.0339055e-01, 1.1914629e-01, -8.0645271e-02,
4.9894181e-01, 1.4447230e-01],
[-1.4995965e+00, -1.5385356e+00, -1.4195724e+00, -1.2607156e+00,
-3.4222323e-02, -3.4640472e+00],
[-4.9628416e-01, -4.3604293e-01, 8.3584630e-01, 2.0592262e-01,
-8.7180406e-01, -3.8123703e-01],
[ 1.4580927e+00, 1.1405523e+00, 1.5797006e+00, 1.4655759e+00,
1.8443143e-01, 8.1709957e-01],
[-2.9236689e-01, -7.6216720e-02, 8.3863276e-01, 1.0184437e+00,
-6.7742527e-01, 2.0631497e+00],
[ 1.3989717e-01, 5.4125512e-01, 7.8692937e-01, 7.5333542e-01,
-2.7256331e-01, -1.4735981e+00],
[-1.6538529e+00, -2.1615999e+00, -1.5842050e+00, -1.8424871e+00,
-2.4991245e-03, -3.0411224e+00],
[ 1.7214997e-01, -1.9759926e-01, 7.2039390e-01, -5.6895159e-02,
-8.4698761e-01, -3.4673700e-01],
[-1.0345976e+00, -6.6674620e-01, -8.9334708e-01, -1.4427806e+00,
7.0567113e-01, 1.6438980e-02],
[-1.3924704e+00, -1.4233754e+00, -1.0821785e+00, -1.2713426e+00,
5.0362772e-01, -1.1700013e+00],
[-1.2526463e+00, -1.7894047e+00, -9.0454078e-01, -1.5697916e+00,
2.5234452e-01, -1.2697861e+00],
[ 5.7953560e-01, 5.1324815e-01, 4.3228087e-01, 5.9627071e-02,
1.3367166e-01, -1.6514334e-01],
[ 1.1850381e-01, -1.0494447e-01, 2.3765063e-01, -1.5849894e-01,
-1.4858961e-01, -3.7130672e-01],
[-1.4096354e+00, -1.1266922e+00, -1.1717981e+00, -9.9320698e-01,
7.3658913e-01, -6.2627608e-01],
[ 1.2498436e+00, 7.7931738e-01, 7.7495080e-01, 9.7003180e-01,
-1.5404181e-01, 9.1313171e-01],
[-8.3352494e-01, -1.2726077e+00, -1.2650752e+00, -1.1353840e+00,
4.9519899e-01, -1.0744531e+00],
[ 5.5501312e-01, -7.6890856e-01, 4.9105260e-01, -6.1505961e-01,
-8.8474292e-01, -2.8088975e-01],
[ 2.0036280e-01, 2.2631866e-01, -1.4820018e-01, -3.4859049e-01,
-6.0041577e-02, -9.9166542e-02],
[ 2.3089558e-01, -5.8921777e-02, 2.5265080e-01, 5.9828740e-01,
-4.8106799e-01, -9.8611414e-02],
[-8.5367930e-01, -1.4503201e+00, -1.1422752e+00, -7.5675803e-01,
4.8035935e-01, -5.2838939e-01],
[-4.0796024e-01, -8.8959873e-01, -2.4036554e-01, -3.0411831e-01,
-3.7909424e-01, -1.6603618e+00],
[ 3.4797466e-01, 2.1258080e-01, 1.0838485e-01, 1.0329938e-01,
-1.5919717e-01, 9.2838049e-02],
[-2.2562265e+00, -7.7216792e-01, 7.2524709e-01, 4.0573016e-01,
3.8491410e-01, 3.0751923e-01],
[-1.7665876e+00, -1.5149266e+00, -1.1321568e+00, -1.7374358e+00,
2.3720749e-03, -3.1877465e+00],
[ 2.6238344e+00, 2.9292698e+00, 2.5085313e+00, 2.1575487e+00,
3.1375563e-01, 2.8679829e+00],
[-1.2275690e+00, -1.1298585e-01, -1.8006694e-01, -3.0719766e-02,
4.9887410e-01, 7.8052115e-01],
[-1.3452489e+00, -1.6190248e+00, -1.3211477e+00, -1.4907862e+00,
2.3787707e-01, -1.5611633e+00],
[-1.1276240e+00, -9.7592103e-01, -1.0589850e+00, -1.1296880e+00,
1.8194368e-01, -2.0910981e+00],
[ 1.2050907e-01, -4.1770068e-01, -6.7322969e-02, -9.3268484e-01,
-5.7609600e-01, -2.4823952e+00],
[-5.7831198e-01, -1.9683634e-01, 3.9108381e-01, -6.8759000e-01,
-5.1910377e-01, -1.3685803e+00],
[-2.8419045e-01, -1.0264474e+00, -5.7987057e-02, -2.2360308e-01,
-4.5832074e-01, -1.1646581e+00],
[-3.4390846e-01, -2.4385752e-01, 5.0451750e-01, -5.0061548e-01,
-3.9977390e-01, -1.1337179e+00],
[-1.9225946e-01, -1.8588476e-01, -1.3257773e-01, -5.1406884e-01,
3.3796626e-01, -1.2523499e+00],
[-1.1303564e+00, -1.1041032e+00, -1.1950709e+00, -1.0419233e+00,
2.2627130e-02, -2.7751410e+00],
[ 1.5731677e+00, 1.3436772e+00, 1.3703339e+00, 1.7460738e+00,
4.6129534e-01, 1.1074258e+00],
[-1.7632616e+00, -1.9766512e+00, -2.1970956e+00, -2.3849952e+00,
-9.2489928e-02, -3.7025909e+00],
[-1.3660455e+00, -1.6261091e+00, -1.5146183e+00, -1.2850149e+00,
5.9640776e-02, -2.1645975e+00],
[-1.0990735e+00, -1.1173724e+00, -1.2142695e+00, -1.1078297e+00,
5.4759741e-01, -8.9938253e-01],
[ 3.9920765e-01, 1.7575115e-01, 1.9770795e-01, -3.6722627e-01,
-1.7174703e-01, -2.3265581e-01],
[-1.9943516e+00, -1.9197636e+00, -1.7813846e+00, -2.3014076e+00,
-1.3738735e-01, -3.7817645e+00],
[ 2.6897085e-01, 3.9980936e-01, 2.2220474e-01, -2.9957306e-01,
-1.9086868e-01, -8.4620327e-02],
[-1.5998303e+00, -2.0662472e+00, -1.4933305e+00, -2.2313151e+00,
-1.3341153e-01, -3.1124723e+00],
[ 1.5842993e+00, 1.3540760e+00, 8.6976582e-01, 8.7744325e-01,
-3.1529486e-01, 1.2853510e+00],
[-1.1470665e+00, -1.0156620e+00, -7.2177070e-01, -7.4151409e-01,
4.2897075e-01, -4.0767777e-01],
[-1.4958335e+00, -1.1270608e+00, -1.0813164e+00, -7.0563555e-01,
7.6071042e-01, 4.7292054e-02],
[-8.6005574e-01, -8.3100718e-01, 3.2805386e-01, -1.2310830e-01,
-5.0292850e-01, -1.5200185e+00],
[ 1.4444929e-01, -2.9737127e-01, 2.0626038e-02, 2.7026182e-01,
-4.6389520e-02, 3.4239542e-01],
[-4.8319574e-02, 2.7859831e-01, 3.4658486e-01, 4.3245120e-04,
3.4005055e-01, -1.4094969e+00],
[-5.3051233e-01, 2.7513316e-02, 1.3163327e+00, 1.1718308e+00,
4.0438703e-01, 4.7677025e-01],
[ 9.1746926e-01, 8.9551550e-01, 5.0909531e-01, 8.6897409e-01,
-1.2045190e-01, 1.2668468e+00],
[-1.2124447e+00, -1.1026939e+00, -3.6008969e-01, -7.4501216e-01,
2.0739028e-01, -1.9925048e+00],
[ 1.3922794e+00, 1.6943803e+00, 1.2084938e+00, 9.2154211e-01,
-3.8457274e-02, 1.6527829e+00],
[-1.1661005e+00, -1.1812533e+00, -8.6472744e-01, -1.6164722e-01,
6.4089966e-01, 6.1300278e-01],
[ 2.9283279e-01, -8.1797421e-02, 1.4236259e-01, 6.5516829e-03,
4.4105828e-02, 1.2869859e-01],
[ 7.1572298e-01, 2.9962543e-01, 6.0464811e-01, -8.0254026e-02,
-6.0897690e-01, -1.8322647e+00],
[-2.4639493e-01, -1.4378557e-01, -8.4893751e-01, -2.1712011e-01,
-4.9560779e-01, -4.8463556e-01],
[-6.4743763e-01, -9.1622788e-01, -1.4077176e-01, -1.4305911e+00,
-5.3837186e-01, -1.2153634e+00],
[-7.4078089e-01, -7.5582302e-01, 2.9649180e-01, -9.0297753e-01,
-6.1908472e-01, -1.1266105e+00],
[-3.6180905e-01, 3.3361226e-01, -1.8626001e-01, -2.9485816e-01,
-4.4428915e-02, 2.0067859e-01],
[-5.3939080e-01, -1.2400730e+00, -3.0391101e-02, -9.1768920e-01,
-6.6656607e-01, -1.0536356e+00],
[-1.1338092e+00, -1.3874848e+00, -1.2094232e+00, -1.2568022e+00,
5.7933444e-01, -2.3105237e+00]], device='cpu')), ('fc1.bias', tensor([-0.2851876, 0.1205802, 0.1461239, 0.0480634, 0.1074588, -0.0371911,
0.0660454, 0.1649992, 0.0100337, 0.1260081, -0.0493200, -0.0742989,
-0.0175264, -0.0263008, 0.2693605, -0.3236229, -0.0592305, 0.3092736,
-0.0234887, -0.1393215, -0.2419550, 0.2767467, -0.0325843, 0.2329660,
-0.3356181, -0.4720613, 0.1892301, 0.1152724, -0.2143160, -0.0276938,
0.1554942, 0.2944420, -0.0395896, -0.0329223, -0.0303051, 0.1977146,
0.0638425, 0.1280302, 0.2135334, 0.0957778, -0.0390197, -0.3506381,
0.2289737, -0.3361959, 0.1135313, 0.3565871, -0.0320139, -0.0605943,
-0.0323901, -0.1200398, 0.2077902, -0.2288204, 0.2054168, 0.2083203,
0.2790188, -0.2892588, -0.0757686, 0.3187189, 0.2664928, -0.0365705,
-0.0309213, -0.3951773, -0.0199782, 0.1739498], device='cpu')), ('lstm.weight_ih_l0', tensor([[ 3.3008143e-02, 1.2507494e-01, -6.3454680e-02, -2.2156719e-02,
1.2079098e-01, -3.0362630e-01, -4.2377666e-02, -1.7868789e-01,
-1.1911053e-01, -6.0092885e-02, -2.1276821e-01, 1.6176069e-01,
5.5152953e-02, 4.0019307e-01, 1.1375020e-01, -1.1885719e-01,
3.9589134e-01, -1.7856255e-01, 1.8171813e-01, -1.4407818e-01,
3.5315454e-03, -1.8595035e-01, 2.4102500e-02, -2.6427347e-03,
-8.0263793e-02, -5.0697312e-02, 1.7737838e-02, -2.1882553e-01,
5.3110760e-01, 3.2153818e-01, 1.2368344e-02, -1.8409997e-02,
-1.9655235e-01, -3.3983287e-01, -1.9324149e-01, 1.6258394e-02,
6.6249207e-02, 5.7372525e-02, 1.4187263e-01, 8.4140494e-02,
1.3111576e-01, 7.1274832e-02, -6.1131056e-02, -7.3100418e-02,
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