@richard
output = -0.0226 -0.1922 0.1461 -0.0481 -0.0526 -0.0449 0.1586 -0.0980 0.2177 0.0402 -0.1200 0.0010 0.0022 0.0430 0.1930 0.2304 0.0043 0.0659 0.2427 0.1580 -0.0449 -0.0477 0.1961 0.2336 -0.0308 0.0648 0.0669 0.0072 0.0353 -0.2793 0.0105 -0.1510 -0.0942 -0.1761 0.0477 -0.0564 -0.1628 0.0467 -0.0819 -0.2643 0.1066 -0.0952 0.0918 -0.0934 0.1405 -0.1959 -0.0477 -0.1138 -0.1032 -0.0622 -0.0658 0.2957 -0.1170 -0.1541 0.1663 0.2635 -0.1477 0.2634 0.0940 -0.0477 -0.1920 0.0104 0.3450 -0.0514 -0.1592 0.2188 -0.3998 -0.1696 -0.1194 -0.3216 -0.0702 0.0074 -0.0223 0.0597 0.0329 -0.1500 0.2207 0.1900 -0.0688 0.3510 0.1114 -0.0829 0.0919 -0.1787 0.0266 -0.2059 0.0821 -0.1061 0.1190 0.0090
target.cuda() = 0.3100 0.0638 -0.1865 -0.4252 -0.6371 -0.8090 -0.9300 -0.9922 -0.9919 -0.9289 -0.8072 -0.6343 -0.4212 -0.1814 0.0700 0.3170 0.5440 0.7365 0.8823 0.9720 0.9999 0.9641 0.8669 0.7143 0.5162 0.2850 0.0355 -0.2163 -0.4543 -0.6634 -0.8300 -0.9435 -0.9965 -0.9855 -0.9113 -0.7784 -0.5955 -0.3742 -0.1287 0.1252 0.3711 0.5931 0.7769 0.9105 0.9854 0.9965 0.9431 0.8286 0.6604 0.4493 0.2089 -0.0451 -0.2962 -0.5282 -0.7259 -0.8763 -0.9697 -1.0000 -0.9649 -0.8669 -0.7122 -0.5110 -0.2762 -0.0232 0.2313 0.4707 0.6794 0.8435 0.9523 0.9986 0.9792 0.8954 0.7526 0.5602 0.3308 0.0794 -0.1772 -0.4222 -0.6394 -0.8143 -0.9355 -0.9947 -0.9880 -0.9158 -0.7828 -0.5979 -0.3731 -0.1234 0.1345 0.3836