Result of inference convidence
Wzj02200059 opened this issue · 2 comments
Thank you for awesome repo.
I want to get the convenience value of output，
so i print the ('output_concat.data',output_concat.data)
output_concat.data tensor([[ 0.6667, 2.4874, -0.2616, -0.8905, -1.0161, -1.3324, 0.9716, -3.1546,
2.6772],
[-1.0338, -2.5260, 0.4580, 0.6618, 1.2473, 1.4716, -0.4507, 2.6250,
-2.7728]], device='cuda:0')
some of the confidence value is negative， and their sum is not 1.
wish ur reply
I think negative value is normal phenomenon, if you want to get 1 as the sum, you could put your layer output into another softmax. This will work well.
Thank you for awesome repo.
I want to get the convenience value of output，
so i print the ('output_concat.data',output_concat.data)
output_concat.data tensor([[ 0.6667, 2.4874, -0.2616, -0.8905, -1.0161, -1.3324, 0.9716, -3.1546,
2.6772],
[-1.0338, -2.5260, 0.4580, 0.6618, 1.2473, 1.4716, -0.4507, 2.6250,
-2.7728]], device='cuda:0')
some of the confidence value is negative， and their sum is not 1.
wish ur reply
It's the result before softmax.