DLA standalone: Safety certified DLA should only have one graph for the whole network

Description

Problems with building cudla models using EngineCapability::kDLA_STANDALONE.
We want to use patterns kDLA_STANDALONE to run the model, but we encounter the following error when compiling the model.
the command is:
/usr/src/tensorrt/bin/trtexec --maxAuxStreams=1 --onnx=No_upsample.onnx --verbose --int8 --useDLACore=0 --buildDLAStandalone --inputIOFormats=int8:dla_linear --outputIOFormats=int8:dla_linear

09/27/2024-17:35:27] [E] Error[2]: [foreignNode.cpp::determineCandidateForeignNodes::895] Error Code 2: Internal Error (Safety certified DLA should only have one graph for the whole network.)
[09/27/2024-17:35:27] [E] Engine could not be created from network
[09/27/2024-17:35:27] [E] Building engine failed
[09/27/2024-17:35:27] [E] Failed to create engine from model or file.
[09/27/2024-17:35:27] [E] Engine set up failed

our model don't have loop and condition

Environment

**TensorRT Version 8.6.1.2:

NVIDIA GPU:

**NVIDIA Driver Version: orin 6090:

CUDA Version:

CUDNN Version:

Operating System:

Python Version (if applicable):

Tensorflow Version (if applicable):

PyTorch Version (if applicable):

Baremetal or Container (if so, version):

Relevant Files

Model link:

Steps To Reproduce

/usr/src/tensorrt/bin/trtexec --maxAuxStreams=1 --onnx=No_upsample.onnx --verbose --int8 --useDLACore=0 --buildDLAStandalone --inputIOFormats=int8:dla_linear --outputIOFormats=int8:dla_linear

Commands or scripts:

Have you tried the latest release?:

Can this model run on other frameworks? For example run ONNX model with ONNXRuntime (polygraphy run <model.onnx> --onnxrt):

Start by reproducing the reported /usr/src/tensorrt/bin/trtexec command with No_upsample.onnx and inspect the verbose output around foreignNode.cpp::determineCandidateForeignNodes. Compare the DLA standalone behavior with the supplied TensorRT 8.6.1.2 environment; done means identifying why the network produces more than one graph and documenting or correcting the resulting build failure.