No significant performance improvement on UNET semantic segmentation model.

[dhinkris]

Hi, I used TFTRT to optimize the 3D UNET segmentation. I couldn't find any significant improvement in the speed. On a P100 GPU, for a batch size of 4 averaged for 20 runs: i) keras model = 0.78s ii) TFTRT-FP32 = 0.74s iii) TFTRT-FP16 = 0.74s

Can somebody help if this can be optimized? Thank you