Convert detectnet_v2 model to engine

Are there any way to create explicit detectnet_v2 engine? I tried it using tlt-converter with command tlt-converter -k key -p input_1,1x3x544x960,4x3x544x960,16x3x544x960 -t int8 -c cal.bin -w 2048 -d 3,544,960 -o output_cov/Sigmoid,output_bbox/BiasAdd -e detectnet_v2.engine ./detectnet_v2.etlt.
Then i tested it in python trt and engine. has_implicit_batch_dimension was True. Converter set batch 16 as max_batch_size. Without -d converter doesn’t work, but for others tlt models (fpenet, lprnet) it works only with -p. Also engine works with execute_async function, that works only for implicit engines.

Jetson NX
Jetpack 4.4.1
Python 3.6
Tensor RT 7.1.3
CUDA 10.2

Model was created in TLT 2.0.

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