Please provide complete information as applicable to your setup.
• Hardware Platform (Jetson / GPU)：Jetson
• DeepStream Version：DS7.0
• JetPack Version (valid for Jetson only)：6.0
• TensorRT Version：8.6.2
• Issue Type( questions, new requirements, bugs)：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)
I found that running deepstream-test5-app in DS7.0 with RTSP source
in a situation where RTSP reconnection occurs, causes a memory leak.
Here is the logs of the information obtained from /proc/meminfo and RSS while running deepstream-test5-app
and the memory leak of deepstream-test5-app using valgrind.
We run deepstream-test5-app twice,
once for 6 hours to get the information in /proc/meminfo and RSS and once for 6 hours to get the logs from valgrind.
I followed this topic on how to get the logs for valgrind.
meminfo_ps.zip (17.5 KB)
valgrind_6h.log (106.6 KB)
The decrease in MemAvailable in /proc/meminfo was 213 MB in 6 hours, but RSS was up 55 MB.
In addition, the amount of memory leakage in valgrind was 27KB.
Why is there a difference in the amount of memory leakage between valgrind, RSS, and MemAvailable?
MemAvailable did not decrease when no RTSP reconnection occurred.
container
nvcr.io/nvidia/deepstream:7.0-triron-multiarch
Command to get log of valgrind
valgrind --tool=memcheck --leak-check=full --num-callers=100 --show-leak-kinds=definite,indirect --track-origins=yes --log-file=valgrind_ffserver_6h ../deepstream-test5-app -t -c test5_config_file_src_infer.txt
Command to get log of /proc/meminfo
deepstream-test5-app -t -c test5_config_file_src_infer.txt
Commands to log memory
# Rewrite directory in crontab
cat crontab | crontab
nohup bash ./ps_5sec.sh psinfo.log
log_scripts.zip (1.5 KB)
test5_config_file_src_infer.txt
################################################################################
# SPDX-FileCopyrightText: Copyright (c) 2018-2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: LicenseRef-NvidiaProprietary
#
# NVIDIA CORPORATION, its affiliates and licensors retain all intellectual
# property and proprietary rights in and to this material, related
# documentation and any modifications thereto. Any use, reproduction,
# disclosure or distribution of this material and related documentation
# without an express license agreement from NVIDIA CORPORATION or
# its affiliates is strictly prohibited.
################################################################################
[application]
enable-perf-measurement=1
perf-measurement-interval-sec=5
#gie-kitti-output-dir=streamscl
[tiled-display]
enable=0 # change to disable
rows=2
columns=2
width=1280
height=720
gpu-id=0
#(0): nvbuf-mem-default - Default memory allocated, specific to particular platform
#(1): nvbuf-mem-cuda-pinned - Allocate Pinned/Host cuda memory, applicable for Tesla
#(2): nvbuf-mem-cuda-device - Allocate Device cuda memory, applicable for Tesla
#(3): nvbuf-mem-cuda-unified - Allocate Unified cuda memory, applicable for Tesla
#(4): nvbuf-mem-surface-array - Allocate Surface Array memory, applicable for Jetson
nvbuf-memory-type=0
[source0]
enable=1
#Type - 1=CameraV4L2 2=URI 3=MultiURI
type=4 # change to RTSP
uri=rtsp://192.168.130.8:554/test.mpeg4
#uri=file://../../../../../samples/streams/sample_1080p_h264.mp4
num-sources=2
gpu-id=0
nvbuf-memory-type=0
[source1]
enable=0 # change to disable
#Type - 1=CameraV4L2 2=URI 3=MultiURI
type=3
uri=file://../../../../../samples/streams/sample_1080p_h264.mp4
num-sources=2
gpu-id=0
nvbuf-memory-type=0
[sink0]
enable=1
#Type - 1=FakeSink 2=EglSink 3=File
type=1 # change to fakesink
sync=1 # change to disable
source-id=0
gpu-id=0
nvbuf-memory-type=0
[sink1]
enable=0 # change to disable
#Type - 1=FakeSink 2=EglSink 3=File 4=UDPSink 5=nvdrmvideosink 6=MsgConvBroker
type=6
msg-conv-config=dstest5_msgconv_sample_config.txt
#(0): PAYLOAD_DEEPSTREAM - Deepstream schema payload
#(1): PAYLOAD_DEEPSTREAM_MINIMAL - Deepstream schema payload minimal
#(256): PAYLOAD_RESERVED - Reserved type
#(257): PAYLOAD_CUSTOM - Custom schema payload
msg-conv-payload-type=0
msg-broker-proto-lib=/opt/nvidia/deepstream/deepstream/lib/libnvds_kafka_proto.so
#Provide your msg-broker-conn-str here
msg-broker-conn-str=<host>;<port>;<topic>
topic=<topic>
#Optional:
#msg-broker-config=../../deepstream-test4/cfg_kafka.txt
[sink2]
enable=0
type=3
#1=mp4 2=mkv
container=1
#1=h264 2=h265 3=mpeg4
## only SW mpeg4 is supported right now.
codec=3
sync=1
bitrate=2000000
output-file=out.mp4
source-id=0
# sink type = 6 by default creates msg converter + broker.
# To use multiple brokers use this group for converter and use
# sink type = 6 with disable-msgconv = 1
[message-converter]
enable=0
msg-conv-config=dstest5_msgconv_sample_config.txt
#(0): PAYLOAD_DEEPSTREAM - Deepstream schema payload
#(1): PAYLOAD_DEEPSTREAM_MINIMAL - Deepstream schema payload minimal
#(256): PAYLOAD_RESERVED - Reserved type
#(257): PAYLOAD_CUSTOM - Custom schema payload
msg-conv-payload-type=0
# Name of library having custom implementation.
#msg-conv-msg2p-lib=<val>
# Id of component in case only selected message to parse.
#msg-conv-comp-id=<val>
# Configure this group to enable cloud message consumer.
[message-consumer0]
enable=0
proto-lib=/opt/nvidia/deepstream/deepstream/lib/libnvds_kafka_proto.so
conn-str=<host>;<port>
config-file=<broker config file e.g. cfg_kafka.txt>
subscribe-topic-list=<topic1>;<topic2>;<topicN>
# Use this option if message has sensor name as id instead of index (0,1,2 etc.).
#sensor-list-file=dstest5_msgconv_sample_config.txt
[osd]
enable=0 # change to disable
gpu-id=0
border-width=1
text-size=15
text-color=1;1;1;1;
text-bg-color=0.3;0.3;0.3;1
font=Arial
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=0
##Boolean property to inform muxer that sources are live
live-source=0
batch-size=1 # change to 1
##time out in usec, to wait after the first buffer is available
##to push the batch even if the complete batch is not formed
batched-push-timeout=40000
## Set muxer output width and height
width=1920
height=1080
##Enable to maintain aspect ratio wrt source, and allow black borders, works
##along with width, height properties
enable-padding=0
nvbuf-memory-type=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
[primary-gie]
enable=0 # change to disable
gpu-id=0
batch-size=4
## 0=FP32, 1=INT8, 2=FP16 mode
bbox-border-color0=1;0;0;1
bbox-border-color1=0;1;1;1
bbox-border-color2=0;1;1;1
bbox-border-color3=0;1;0;1
nvbuf-memory-type=0
interval=0
gie-unique-id=1
model-engine-file=../../../../../samples/models/Primary_Detector/resnet18_trafficcamnet.etlt_b4_gpu0_int8.engine
labelfile-path=../../../../../samples/models/Primary_Detector/labels.txt
config-file=../../../../../samples/configs/deepstream-app/config_infer_primary.txt
#infer-raw-output-dir=../../../../../samples/primary_detector_raw_output/
[tracker]
enable=0 # change to disable
# For NvDCF and NvDeepSORT tracker, tracker-width and tracker-height must be a multiple of 32, respectively
tracker-width=960
tracker-height=544
ll-lib-file=/opt/nvidia/deepstream/deepstream/lib/libnvds_nvmultiobjecttracker.so
# ll-config-file required to set different tracker types
# ll-config-file=../../../../../samples/configs/deepstream-app/config_tracker_IOU.yml
# ll-config-file=../../../../../samples/configs/deepstream-app/config_tracker_NvSORT.yml
ll-config-file=../../../../../samples/configs/deepstream-app/config_tracker_NvDCF_perf.yml
# ll-config-file=../../../../../samples/configs/deepstream-app/config_tracker_NvDCF_accuracy.yml
# ll-config-file=../../../../../samples/configs/deepstream-app/config_tracker_NvDeepSORT.yml
gpu-id=0
display-tracking-id=1
[tests]
file-loop=0
