I had these error when executed deepstream-app -c source30_1080p_dec_preprocess_infer-resnet_tiled_display_int8.txt

Accelerated Computing Intelligent Video Analytics DeepStream SDK
1

Please provide complete information as applicable to your setup.

• Hardware Platform (GPU)

deepstream-app version 6.2.0
DeepStreamSDK 6.2.0
CUDA Driver Version: 11.8
CUDA Runtime Version: 11.8
TensorRT Version: 8.5
cuDNN Version: 8.7
libNVWarp360 Version: 2.0.1d3

The terminal output is :
** ERROR: main:716: Failed to set pipeline to PAUSED
Quitting
nvstreammux: Successfully handled EOS for source_id=0
nvstreammux: Successfully handled EOS for source_id=1
nvstreammux: Successfully handled EOS for source_id=2
nvstreammux: Successfully handled EOS for source_id=3
nvstreammux: Successfully handled EOS for source_id=4
nvstreammux: Successfully handled EOS for source_id=5
nvstreammux: Successfully handled EOS for source_id=6
nvstreammux: Successfully handled EOS for source_id=7
nvstreammux: Successfully handled EOS for source_id=8
nvstreammux: Successfully handled EOS for source_id=9
nvstreammux: Successfully handled EOS for source_id=10
nvstreammux: Successfully handled EOS for source_id=11
nvstreammux: Successfully handled EOS for source_id=12
nvstreammux: Successfully handled EOS for source_id=13
nvstreammux: Successfully handled EOS for source_id=14
nvstreammux: Successfully handled EOS for source_id=15
nvstreammux: Successfully handled EOS for source_id=16
nvstreammux: Successfully handled EOS for source_id=17
nvstreammux: Successfully handled EOS for source_id=18
nvstreammux: Successfully handled EOS for source_id=19
nvstreammux: Successfully handled EOS for source_id=20
nvstreammux: Successfully handled EOS for source_id=21
nvstreammux: Successfully handled EOS for source_id=22
nvstreammux: Successfully handled EOS for source_id=23
nvstreammux: Successfully handled EOS for source_id=24
nvstreammux: Successfully handled EOS for source_id=25
nvstreammux: Successfully handled EOS for source_id=26
nvstreammux: Successfully handled EOS for source_id=27
nvstreammux: Successfully handled EOS for source_id=28
nvstreammux: Successfully handled EOS for source_id=29
App run failed

2

Can you share the version of your OS and GPU model/driver?
Can the other sample run in your host? You can add “GST_DEBUG=3” before the command to get more information.

3

My os is ubuntu18.04, driver is 510.47.03. I can run source2_1080p_dec_infer-resnet_demux_int8.txt.

4

Your ubuntu version and driver version do not meet with DS6.2 requirement, please check the details in the installation guide : Quickstart Guide — DeepStream 6.2 Release documentation (nvidia.com).
You can also try docker here, guide can be found here: Docker Containers — DeepStream 6.2 Release documentation (nvidia.com)

6

$ deepstream-app -c source30_1080p_dec_infer-resnet_tiled_display_int8.txt
the result is :

** ERROR: main:707: Failed to set pipeline to PAUSED
Quitting
App run failed

$ deepstream-app -c source2_1080p_dec_infer-resnet_demux_int8.txt
the result is :

ERROR: …/nvdsinfer/nvdsinfer_model_builder.cpp:1484 Deserialize engine failed because file path: /opt/nvidia/deepstream/deepstream-6.0/samples/configs/deepstream-app/…/…/models/Primary_Detector/resnet10.caffemodel_b1gpu0_int8.engine open error
0:00:01.516796088 7164 0x55731a11b400 WARN nvinfer gstnvinfer.cpp:635:gst_nvinfer_logger:<primary_gie> NvDsInferContext[UID 1]: Warning from NvDsInferContextImpl::deserializeEngineAndBackend() <nvdsinfer_context_impl.cpp:1889> [UID = 1]: deserialize engine from file :/opt/nvidia/deepstream/deepstream-6.0/samples/configs/deepstream-app/…/…/models/Primary_Detector/resnet10.caffemodel_b1gpu0_int8.engine failed
0:00:01.516846060 7164 0x55731a11b400 WARN nvinfer gstnvinfer.cpp:635:gst_nvinfer_logger:<primary_gie> NvDsInferContext[UID 1]: Warning from NvDsInferContextImpl::generateBackendContext() <nvdsinfer_context_impl.cpp:1996> [UID = 1]: deserialize backend context from engine from file :/opt/nvidia/deepstream/deepstream-6.0/samples/configs/deepstream-app/…/…/models/Primary_Detector/resnet10.caffemodel_b1gpu0_int8.engine failed, try rebuild
0:00:01.516856950 7164 0x55731a11b400 INFO nvinfer gstnvinfer.cpp:638:gst_nvinfer_logger:<primary_gie> NvDsInferContext[UID 1]: Info from NvDsInferContextImpl::buildModel() <nvdsinfer_context_impl.cpp:1914> [UID = 1]: Trying to create engine from model files
WARNING: [TRT]: Detected invalid timing cache, setup a local cache instead
0:00:11.424833128 7164 0x55731a11b400 INFO nvinfer gstnvinfer.cpp:638:gst_nvinfer_logger:<primary_gie> NvDsInferContext[UID 1]: Info from NvDsInferContextImpl::buildModel() <nvdsinfer_context_impl.cpp:1947> [UID = 1]: serialize cuda engine to file: /opt/nvidia/deepstream/deepstream-6.0/samples/models/Primary_Detector/resnet10.caffemodel_b1_gpu0_int8.engine successfully
INFO: …/nvdsinfer/nvdsinfer_model_builder.cpp:610 [Implicit Engine Info]: layers num: 3
0 INPUT kFLOAT input_1 3x368x640
1 OUTPUT kFLOAT conv2d_bbox 16x23x40
2 OUTPUT kFLOAT conv2d_cov/Sigmoid 4x23x40

0:00:11.430854879 7164 0x55731a11b400 INFO nvinfer gstnvinfer_impl.cpp:313:notifyLoadModelStatus:<primary_gie> [UID 1]: Load new model:/opt/nvidia/deepstream/deepstream-6.0/samples/configs/deepstream-app/config_infer_primary.txt sucessfully

Runtime commands:
h: Print this help
q: Quit

    p: Pause
    r: Resume

**PERF: FPS 0 (Avg) FPS 1 (Avg)
**PERF: 0.00 (0.00) 0.00 (0.00)
** INFO: <bus_callback:194>: Pipeline ready

** INFO: <bus_callback:180>: Pipeline running

**PERF: 31.48 (31.30) 32.80 (32.60)
**PERF: 30.00 (30.64) 30.00 (31.25)
**PERF: 30.00 (30.42) 30.00 (30.82)
**PERF: 30.00 (30.31) 30.00 (30.61)
**PERF: 30.01 (30.25) 30.00 (30.49)
**PERF: 29.99 (30.21) 29.99 (30.40)
**PERF: 30.00 (30.18) 30.00 (30.35)
**PERF: 30.00 (30.16) 30.01 (30.30)
**PERF: 30.00 (30.14) 30.00 (30.27)
** INFO: <bus_callback:217>: Received EOS. Exiting …

Quitting
App run successful

7

I had modified configuration, still can’t run other samples except source2_1080p_dec_infer-resnet_demux_int8.txt

The current configuration is as follows:
deepstream-app version 6.0.1
DeepStreamSDK 6.0.1
CUDA Driver Version: 11.4
CUDA Runtime Version: 11.4
TensorRT Version: 8.0
cuDNN Version: 8.2
libNVWarp360 Version: 2.0.1d3
os: ubuntu18.04
driver: 470.63.01

8

What’s the type of your GPU? and is there a monitor connected to your host?
Please add “GST_DEBUG=3” before deepstream-app command to get more logs.

9

thanks, i solved it.