Deepstream-6.0.1-triton docker freeze in between the inferencing and produce segmentation fault (core dumped) at the end of stream

• Hardware Platform : GPU
• DeepStream Version : 6.0.1
• TensorRT Version :
• NVIDIA GPU Driver Version (valid for GPU only) : 470.129.06
I am using a custom deepstream-ssd-parser example from deepstream-python_apps. I used the retina face model to detect the face from tensorrtx and was also able to convert the model to tensorrt in deepstream-6-0.1-triton docker container.
Now, while running the pipeline, I am getting two issues:

  1. The pipeline freezes/halts in between the frames. Like, sometimes the pipeline stops at 100 frames, or 250 frames, and so on.
  2. If the pipeline does not freeze and comes to end-of-stream then there is a segmentation fault (core dumped), which means the app does not run completely.

Any solution to the above bugs?

Config file :

infer_config {
  unique_id: 1
  gpu_ids: [0]
  max_batch_size: 1
  backend {
    inputs: [ {
      name: "data"
    outputs: [
      {name: "prob"}

    trt_is {
      model_name: "retinaface"
      version: -1
      model_repo {
        root: "./models/"
        log_level: 1
        strict_model_config: false

  preprocess {
    network_format: IMAGE_FORMAT_BGR
    tensor_order: TENSOR_ORDER_LINEAR
    tensor_name: "data"
    maintain_aspect_ratio: 0
    frame_scaling_hw: FRAME_SCALING_HW_GPU
    frame_scaling_filter: 1
    normalize {
      scale_factor: 1.0
      channel_offsets: [104.0, 117.0, 123.0]

  postprocess {
    labelfile_path: "labels_retina.txt"
    other {}

  extra {
    copy_input_to_host_buffers: false

  custom_lib {
    path: "/opt/nvidia/deepstream/deepstream/lib/"

input_control {
  interval: 0

output_control {
  output_tensor_meta: true

Hi @aashish.mamgain79
There is not clue about the failure.
can you use gdb to check the backtrace when halt or segment fault?

There is no update from you for a period, assuming this is not an issue anymore.
Hence we are closing this topic. If need further support, please open a new one.

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