DLA run results in NaN values

[AastaLLL]

Hi,

We do get a similar issue when running batch inference on DLA.
And it is fixed internally and will be available in our next JetPack major release.

Multi-batch infer results with the same input are different and only the first batch is wrong when running on the DLA

JetPack Version : 4.4 The one-batch model running on the DLA in fp16 always comes out the wrong result, but the multi-batch infer result is different with the same input and only the first batch is wrong. The model using one or more batches running normally on GPU. The onnx model is attatched below: https://drive.google.com/file/d/1jTuSd281-buxbf77sJb5YM3kdz8UQC6z/view?usp=sharing

Thanks.