yes gpu
outputs:
tensor([[-0.7218,  0.0799],
        [-0.3777,  0.0066],
        [-0.0300,  0.1042],
        [-0.0631,  0.0776],
        [-0.2742,  0.1017],
        [-0.1016,  0.3217],
        [-0.4512,  0.1652],
        [-0.2501, -0.0158],
        [-0.1001,  0.0228],
        [-0.1450, -0.1840],
        [-0.5124, -0.0129],
        [-0.3069,  0.0862],
        [-0.4056,  0.0122],
        [-0.0393,  0.1312],
        [-0.1726, -0.0376],
        [-0.1504,  0.3080]], grad_fn=<ThAddmmBackward>)
-------------------------
-------------------------
targets
tensor([1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], device='cpu')
outputs:
tensor([[ -7.3676,   7.1940],
        [ -7.8105,   7.8614],
        [ -8.4740,   8.1551],
        [ -6.6943,   6.3968],
        [ -6.9419,   6.5977],
        [ -7.8175,   7.5915],
        [ -7.2899,   7.3079],
        [ -9.4329,   8.9957],
        [ -9.8488,   9.2562],
        [ -6.5058,   6.3480],
        [-10.5865,  10.7625],
        [ -6.3048,   6.3257],
        [ -7.0993,   6.6395],
        [ -5.7157,   5.3780],
        [ -4.9567,   4.7297],
        [ -7.7228,   7.1255]], grad_fn=<ThAddmmBackward>)
-------------------------
-------------------------
targets
tensor([1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], device='cpu')
outputs:
tensor([[-11.3238,  11.1269],
        [-14.0514,  14.0194],
        [ -9.9086,   9.7313],
        [-13.4018,  13.1804],
        [-15.4153,  15.5052],
        [-16.0751,  15.5695],
        [-13.1213,  12.6561],
        [-21.4735,  21.5242],
        [-10.5720,  10.1248],
        [-12.9845,  12.7423],
        [-16.3938,  15.6749],
        [-10.4105,  10.3380],
        [-15.3936,  15.1340],
        [-16.4181,  16.6434],
        [-15.4390,  15.3033],
        [-14.1930,  13.9824]], grad_fn=<ThAddmmBackward>)
-------------------------
-------------------------
targets
tensor([1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], device='cpu')
outputs:
tensor([[-19.4064,  19.3802],
        [-12.5685,  12.5996],
        [-21.5608,  21.6957],
        [-16.2454,  16.4091],
        [-23.8241,  23.5606],
        [-24.6136,  24.1047],
        [-19.3370,  19.2353],
        [-16.1822,  16.2280],
        [-22.7567,  22.6444],
        [-18.3765,  18.0064],
        [-20.7338,  20.7988],
        [-22.2366,  21.6640],
        [-15.4236,  14.9537],
        [-21.1272,  21.0056],
        [-16.7133,  16.6841],
        [-19.2318,  19.0395]], grad_fn=<ThAddmmBackward>)
-------------------------
-------------------------
targets
tensor([1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], device='cpu')
outputs:
tensor([[-25.9788,  25.7405],
        [-32.9146,  32.5946],
        [-17.9632,  17.9339],
        [-20.4449,  20.5898],
        [-24.3951,  24.6153],
        [-27.7594,  27.4260],
        [-20.1770,  19.8166],
        [-21.0899,  20.4372],
        [-29.1212,  28.3369],
        [-24.3874,  24.0906],
        [-24.2173,  24.1907],
        [-38.5717,  38.0031],
        [-32.8707,  32.0967],
        [-19.9623,  19.7503],
        [-16.4334,  16.2315],
        [-22.4122,  22.3104]], grad_fn=<ThAddmmBackward>)
-------------------------
-------------------------
targets
tensor([1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], device='cpu')Preformatted text