Accuracy of sigmoid layer's output drops a lot

[Railcalibur]

platform: Jetson AGX Orin 64GB
OS: 5.1.2
DLA: 3.12.1

Sigmoid layers are used as the output of the model and the input & output shape of sigmoid is (8, 3, 88, 160). I found the accuracy of fp16 dla model drops a lot when I use sigmoid as output layer. However, the outputs is consistent to torch outputs if the sigmoid is removed, with the cosine similarity close to 1.

I want to know what is the limitations on the use of sigmoid layers ?
Why does this loss of precision occur ?

[nvoliver]

@Railcalibur Is this issue still occurring with the latest JetPack 6.0? Also, does it occur with batch size 1, such that the shape is (1, 3, 88, 160). Thanks!