Error Code 1: Myelin (Division by 0 detected in the shape graph. Tensor (Divisor) "sp__mye3" is equal to 0.; )

Accelerated Computing Intelligent Video Analytics DeepStream SDK
1

Please provide complete information as applicable to your setup.

• Hardware Platform (Jetson / GPU) GPU
• DeepStream Version 7.0
• JetPack Version (valid for Jetson only)
• TensorRT Version 8.6.1.6
• NVIDIA GPU Driver Version (valid for GPU only)
• Issue Type( questions, new requirements, bugs)
• How to reproduce the issue ? (This is for bugs. Including which sample app is using, the configuration files content, the command line used and other details for reproducing)
• Requirement details( This is for new requirement. Including the module name-for which plugin or for which sample application, the function description)

I’m running a YoloV8-seg inside deepstream 7.0 and I’ve encountered this error:
ERROR: [TRT]: 1: [runner.cpp::shapeChangeHelper::621] Error Code 1: Myelin (Division by 0 detected in the shape graph. Tensor (Divisor) “sp__mye3” is equal to 0.; )
ERROR: nvdsinfer_backend.cpp:507 Failed to enqueue trt inference batch
ERROR: nvdsinfer_context_impl.cpp:1824 Infer context enqueue buffer failed, nvinfer error:NVDSINFER_TENSORRT_ERROR
0:05:23.176120329 585203 0x55d26850b440 WARN nvinfer gstnvinfer.cpp:1418:gst_nvinfer_input_queue_loop: error: Failed to queue input batch for inferencing

from this:

I understand that you expect this bug to be solved in later versions of tensorrt

  1. can you confirm that the bug was solved in updated tensorrt?
  2. If I understand correctly deepstream sdk 7.0 depend on tensorrt 8.6.1.6, so what are my options to address this issue?
  3. If there is no solution for this right now, is there an option to catch this error and handle it in my python code? currently it crashes the whole app

thanks

4

we already fixed this internally. please pay attention to the latter version.
This is a bug of TRT-8.6. for a workaround, you can user other DeepStream versions which not use TRT-8.6. please refer to this link.

5

I’m currently use DS 7.0 with 8.6.1.6, what exact version of DS should I use? older than 7.0? can you please be more specific?

thanks.

6

This issue only existed on Tensorrt 8.6. please refer to my last comment. for a workaround, you can use DS6.3, which is using TRT 8.5.3.1.