Please provide complete information as applicable to your setup.
• Hardware Platform (Jetson / GPU) Tesla T4
• DeepStream Version 6.1
• JetPack Version (valid for Jetson only)
• TensorRT Version 8.1
• 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 get this error , when i do tritan inference while inferencing through custom ONNX model
In cb_newpad
gstname= video/x-raw
features= <Gst.CapsFeatures object at 0x7f0088fbd0a8 (GstCapsFeatures at 0x7f0014037640)>
In cb_newpad
gstname= audio/x-raw
ERROR: infer_preprocess.cpp:569 cudaMemset2DAsync failed to set 0 to scaled padding area, cuda err_no:700, err_str:cudaErrorIllegalAddress
Segmentation fault (core dumped)
Below is my config file
infer_config {
unique_id: 1
gpu_ids: [0]
max_batch_size: 16
backend {
inputs: [ {
name: "images"
}]
outputs: [
{name: "690"},
{name: "742"},
{name: "794"},
{name: "output"}
]
triton {
model_name: "model"
version: 1
}
}
postprocess {
#labelfile_path: "../../../../samples/trtis_model_repo/ssd_inception_v2_coco_2018_01_28/labels.txt"
#labelfile_path: "../../../samples/trtis_model_repo/ssd_inception_v2_coco_2018_01_28/labels.txt"
labelfile_path: "../../model_repository/PPEKit_model/labels.txt"
classification {
threshold: 0.51
}
#detection {
#num_detected_classes: 4
#custom_parse_bbox_func:"/opt/nvidia/deepstream/deepstream-6.0/lib/libnvds_infercustomparser.so"
#custom_parse_bbox_func:"yolov3_postprocessor.py"
#output-blob-names=BatchedNMS
#custom_parse_bbox_func:"../../customLib/libnvds_infercustomparser_tlt.so"
#custom_parse_bbox_func:"NvDsInferParseYolo4"
#}
}
custom_lib {
#path: "/opt/nvidia/deepstream/deepstream/lib/libnvds_infercustomparser.so"
path:"/opt/nvidia/deepstream/deepstream-6.0/sources/deepstream-apps/customLib/libnvdsinfer_custom_impl_Yolo.so"
#path:"/opt/nvidia/deepstream/deepstream-6.0/sources/deepstream-apps/project/tensorrt_demos/plugins/libyolo_layer.so"
#path:"/opt/nvidia/deepstream/deepstream-6.0/sources/deepstream-apps/TensorRT-8.0.1.6/lib/libnvinfer.so"
}
preprocess {
network_format: IMAGE_FORMAT_RGB
#tensor_order: TENSOR_ORDER_NONE
tensor_order: TENSOR_ORDER_NHWC
maintain_aspect_ratio: 0
frame_scaling_hw: FRAME_SCALING_HW_DEFAULT
frame_scaling_filter: 1
#normalize {
#scale_factor: 1.0
#channel_offsets: [0, 0, 0]
#}
}
}
input_control {
process_mode: PROCESS_MODE_FULL_FRAME
operate_on_gie_id: -1
interval: 0
}
output_control {
output_tensor_meta: true
}