Islem_Maatar:

valid_x: FloatTensor


this is the type of inputs also values:
<class ‘torch.Tensor’>
tensor([[  5.4912,  15.0690],
[ 16.0690,  16.9260],
[ 20.8600,   7.9206],
[ 14.1370,  -2.4545],
[  4.6316,   0.1090],
[  2.5703,   6.2384],
[  5.4974,  -4.6409],
[  5.9872, -16.3710],
[  7.2405,   1.5709],
[ 11.6820,  23.7860],
[ 17.0000,  18.5840],
[ 15.9120,   5.3584],
[ 14.4450,  13.5100],
[ 18.0920,  29.0380],
[ 14.0630,  14.6210],
[  3.5360, -15.3180],
[  9.0134,  -8.3628],
[ 20.2160,  22.8300],
[ 12.6020,  25.1670],
[  5.1467,   7.7010],
[ 17.3860,   9.5863],
[ 24.0870,  21.2980],
[ 14.7980,  17.0010],
[ 10.2700,  -0.5617],
[ 18.4030,   2.8889],
[ 25.7380,  23.3100],
[ 26.1480,  23.8580],
[ 25.7910,  16.7410],
[ 18.9220,  11.6950],
[  8.1207,  -1.2489],
[ 14.0910,   6.2904],
[ 27.4450,  31.9340],
[ 25.0390,  26.9570],
[ 18.9390,  10.1220],
[ 24.2290,  24.1300],
[ 25.2840,  31.5700],
[ 21.3540,  13.3130],
[ 23.9520,   0.1076],
[ 24.1140,  -2.5747],
[ 19.9330,   6.1196],
[ 19.3440,  19.7600],
[ 18.1190,  17.2560],
[ 16.6440,  12.2080],
[ 15.6850,  13.0550],
[ 12.4310,  -1.5546],
[ 12.7660,  -9.0830],
[ 14.6310,   2.9567],
[ 13.4250,   3.2005],
[ 16.3100,   2.2940],
[ 21.7370,  21.1850],
[ 21.5250,  27.4870],
[ 25.1440,  18.0580],
[ 33.7300,  24.3720],
[ 21.7210,  16.1040],
[  5.6736,  -7.0732],
[ 15.7400,   1.5107],
[ 22.0630,  13.2540],
[ 12.0160,   3.6242],
[ 16.5670,   2.8435],
[ 23.7810,   6.0249],
[ 15.8980,   3.3200],
[ 14.6870,  15.4390],
[ 19.0990,  23.5510],
[ 20.3020,  15.5420],
[ 26.3520,  21.4830],
[ 27.3990,  28.1680],
[ 16.8200,  10.5620],
[ 11.0070,  -7.3579],
[ 12.4970,   1.2271],
[  8.8723,  10.9280],
[  9.2209,   5.7773],
[ 21.5720,  11.5010],
[ 26.4690,  23.5880],
[ 22.4060,  27.2000],
[ 18.6150,  19.6860],
[ 11.7740,   6.0727],
[  8.4078,  -1.9962],
[ 13.9940,   0.9488],
[ 23.6450,  17.5470],
[ 17.9330,  20.4150],
[  2.2834,   1.0522],
[  2.5298,  -2.5277],
[ 11.5870,  11.9130],
[  6.1784,   5.3533],
[ -2.0187, -14.0790],
[ 10.3760,  -1.8917],
[ 22.8510,  25.8270],
[ 18.0370,  28.1530],
[ 13.8800,  17.3160],
[ 13.0590,  10.7350],
[  4.3241,  -5.9080],
[  1.3700,  -5.3742],
[ 10.5600,  21.8480],
[  4.0053,  16.0160],
[-15.6770, -17.5050],
[-17.5310, -18.7140],
[ -8.0127,  -5.3597],
[ -8.7475,  -8.6592],
[-14.4600,  -6.1989],
[-10.3170,  -3.7481],
[  0.0672,  -9.7358],
[  5.0474,  -2.5462],
[  2.3458,   2.0610],
[ -0.9833,  -3.4382],
[ -0.5967,   0.5338],
[  3.2368,  13.8130],
[  3.2241,  11.7160],
[ -3.6843,  -2.8880],
[ -5.5857,  -1.0893],
[  3.7589,  13.4740],
[  5.4042,  10.6110],
[ -2.5345,  -0.1572],
[ -2.3967,   4.9518],
[  8.5950,  13.8710],
[ 13.4140,  12.5400],
[  1.4853,   3.4241],
[ -3.8843,   1.7507],
[  4.5598,  13.7480],
[  7.3512,  19.1860],
[ 12.6860,  20.1320],
[ 18.7660,  18.3930],
[  5.6671,   1.2094],
[ -0.4848,  -6.3297],
[ 13.4370,   7.6145],
[  9.5535,   9.6281],
[ -5.2978,   5.5039],
[ -5.2771,   7.6536],
[ -3.4686,  -1.3158],
[ -3.4551,  -5.3972],
[  5.2426,  11.6090],
[ 11.2240,  16.1600],
[  3.2625,  -1.7814],
[ -4.5400,  -7.1376],
[ -1.7130,   1.9572],
[  0.4649,  -0.4769],
[ -2.6021,  -7.8821],
[  0.9839,  -4.4029],
[  7.8759,   4.9366],
[  5.4191,   8.1099],