HI, friends. Based on deepstream-app, modify configuration file, pull 66 camera data and analyze, but error after running for half an hour: Cuda failure: Status =2 in cuResData at line 316；
below is part of config txt
[source0]
enable=1
#Type - 1=CameraV4L2 2=URI 3=MultiURI 4=RTSP
type=4
uri=rtsp://xxxx/h265/ch1/sub/av_stream
gpu-id=1
drop-frame-interval=5
num-extra-surfaces=5
rtsp-reconnect-interval-sec=60
rtsp-reconnect-attempts=-1
#(0): memtype_device - Memory type Device
#(1): memtype_pinned - Memory type Host Pinned
#(2): memtype_unified - Memory type Unified
cudadec-memtype=0
[source1]
…
[source65]
[osd]
enable=1
gpu-id=1
border-width=1
text-size=15
text-color=1;1;1;1;
text-bg-color=0.3;0.3;0.3;1
font=Serif
show-clock=0
clock-x-offset=800
clock-y-offset=820
clock-text-size=12
clock-color=1;0;0;0
nvbuf-memory-type=0
[streammux]
gpu-id=1
##Boolean property to inform muxer that sources are live
live-source=1
buffer-pool-size=66
batch-size=66
##time out in usec, to wait after the first buffer is available
##to push the batch even if the complete batch is not formed 1ms = 1000us
batched-push-timeout=200000 #200ms
##Set muxer output width and height
width=640
height=360
##Enable to maintain aspect ratio wrt source, and allow black borders, works
##along with width, height properties
enable-padding=0
nvbuf-memory-type=0
##0 is near;1 bilinear
interpolation-method=0
##If set to TRUE, system timestamp will be attached as ntp timestamp
##If set to FALSE, ntp timestamp from rtspsrc, if available, will be attached
#attach-sys-ts-as-ntp=1
#config-file property is mandatory for any gie section.
#Other properties are optional and if set will override the properties set in
#the infer config file.
[primary-gie]
enable=1
gpu-id=1
model-engine-file=/opt/nvidia/deepstream/deepstream/sources/yolov5n_cang.engine
batch-size=66
#Required by the app for OSD, not a plugin property
bbox-border-color0=1;0;0;1
bbox-border-color1=0;1;1;1
bbox-border-color2=0;0;1;1
bbox-border-color3=0;1;0;1
interval=0
gie-unique-id=1
nvbuf-memory-type=0
config-file=/opt/nvidia/deepstream/deepstream-6.0/sources/DeepStream6.0_Yolov5-6.0/config_infer_primary.txt
[tracker]
enable=1
#For NvDCF and DeepSORT tracker, tracker-width and tracker-height must be a multiple of 32, respectively
tracker-width=640
tracker-height=384
ll-lib-file=/opt/nvidia/deepstream/deepstream-6.0/lib/libnvds_nvmultiobjecttracker.so
ll-config-file=/opt/nvidia/deepstream/deepstream-6.0/sources/DeepStream6.0_Yolov5-6.0/config_tracker_NvDCF_max_perf.yml
gpu-id=1
enable-batch-process=1
enable-past-frame=1
display-tracking-id=1
[secondary-gie0]
enable=0
model-engine-file=/opt/nvidia/deepstream/deepstream-6.0/sources/2dpose.engine
gpu-id=1
batch-size=200
gie-unique-id=4
operate-on-gie-id=1
operate-on-class-ids=0;
config-file=/opt/nvidia/deepstream/deepstream-6.0/sources/DeepStream6.0_Yolov5-6.0/config_infer_second_128.txt
Please provide complete information as applicable to your setup.
• Hardware Platform (J GPU)
**• DeepStream Version 6 with nvcr.io/nvidia/deepstream:6.0-triton