Please provide complete information as applicable to your setup.
• Hardware Platform (Jetson / GPU)
**• DeepStream Version 6.2
• JetPack Version (valid for Jetson only)
• TensorRT Version
• 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)
±----------------------------------------------------------------------------+
| NVIDIA-SMI 525.147.05 Driver Version: 525.147.05 CUDA Version: 12.0 |
|-------------------------------±---------------------±---------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|===============================+======================+======================|
| 0 Tesla T4 Off | 00000000:98:00.0 Off | 0 |
| N/A 40C P8 10W / 70W | 11MiB / 15360MiB | 0% Default |
| | | N/A |
±------------------------------±---------------------±---------------------+
±----------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=============================================================================|
| 0 N/A N/A 1515 G /usr/lib/xorg/Xorg 4MiB |
| 0 N/A N/A 2263 G /usr/lib/xorg/Xorg 4MiB |
±----------------------------------------------------------------------------+
glueck@glueck-WHITLEY:~$ lspci | grep -i vga
03:00.0 VGA compatible controller: ASPEED Technology, Inc. ASPEED Graphics Family (rev 41)
glueck@glueck-WHITLEY:~$ sudo lshw -C display
[sudo] password for glueck:
*-display
description: VGA compatible controller
product: ASPEED Graphics Family
vendor: ASPEED Technology, Inc.
physical id: 0
bus info: pci@0000:03:00.0
version: 41
width: 32 bits
clock: 33MHz
capabilities: pm msi vga_controller cap_list rom
configuration: driver=ast latency=0
resources: irq:19 memory:94000000-97ffffff memory:98000000-9801ffff ioport:3000(size=128) memory:c0000-dffff
*-display
description: 3D controller
product: TU104GL [Tesla T4]
vendor: NVIDIA Corporation
physical id: 0
bus info: pci@0000:98:00.0
version: a1
width: 64 bits
clock: 33MHz
capabilities: pm bus_master cap_list
configuration: driver=nvidia latency=0
resources: iomemory:206f0-206ef iomemory:206f0-206ef irq:18 memory:da000000-daffffff memory:206fc0000000-206fcfffffff memory:206ff0000000-206ff1ffffff memory:db000000-db3fffff memory:206ec0000000-206fbfffffff memory:206fd0000000-206fefffffff
glueck@glueck-WHITLEY:~$ nvcc --version
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2019 NVIDIA Corporation
Built on Sun_Jul_28_19:07:16_PDT_2019
Cuda compilation tools, release 10.1, V10.1.24
glueck@glueck-WHITLEY:/opt/nvidia/deepstream/deepstream-6.2/sources/apps/sample_apps/deepstream-test3$ ./deepstream-test3-app dstest3_config.yml
Now playing : file:///opt/nvidia/deepstream/deepstream/samples/streams/sample_1080p_h264.mp4
Using file: dstest3_config.yml
libEGL warning: DRI3: Screen seems not DRI3 capable
libEGL warning: DRI2: failed to authenticate
WARNING: [TRT]: CUDA lazy loading is not enabled. Enabling it can significantly reduce device memory usage. See CUDA_MODULE_LOADING
in CUDA C++ Programming Guide
WARNING: …/nvdsinfer/nvdsinfer_model_builder.cpp:1487 Deserialize engine failed because file path: /opt/nvidia/deepstream/deepstream-6.2/sources/apps/sample_apps/deepstream-test3/…/…/…/…/samples/models/Primary_Detector/resnet10.caffemodel_b1_gpu0_int8.engine open error
0:00:03.320525213 29573 0x559d69c1d440 WARN nvinfer gstnvinfer.cpp:677:gst_nvinfer_logger: NvDsInferContext[UID 1]: Warning from NvDsInferContextImpl::deserializeEngineAndBackend() <nvdsinfer_context_impl.cpp:1897> [UID = 1]: deserialize engine from file :/opt/nvidia/deepstream/deepstream-6.2/sources/apps/sample_apps/deepstream-test3/…/…/…/…/samples/models/Primary_Detector/resnet10.caffemodel_b1_gpu0_int8.engine failed
0:00:03.370163820 29573 0x559d69c1d440 WARN nvinfer gstnvinfer.cpp:677:gst_nvinfer_logger: NvDsInferContext[UID 1]: Warning from NvDsInferContextImpl::generateBackendContext() <nvdsinfer_context_impl.cpp:2002> [UID = 1]: deserialize backend context from engine from file :/opt/nvidia/deepstream/deepstream-6.2/sources/apps/sample_apps/deepstream-test3/…/…/…/…/samples/models/Primary_Detector/resnet10.caffemodel_b1_gpu0_int8.engine failed, try rebuild
0:00:03.370241183 29573 0x559d69c1d440 INFO nvinfer gstnvinfer.cpp:680:gst_nvinfer_logger: NvDsInferContext[UID 1]: Info from NvDsInferContextImpl::buildModel() <nvdsinfer_context_impl.cpp:1923> [UID = 1]: Trying to create engine from model files
WARNING: [TRT]: CUDA lazy loading is not enabled. Enabling it can significantly reduce device memory usage. See CUDA_MODULE_LOADING
in CUDA C++ Programming Guide
WARNING: [TRT]: The implicit batch dimension mode has been deprecated. Please create the network with NetworkDefinitionCreationFlag::kEXPLICIT_BATCH flag whenever possible.
WARNING: …/nvdsinfer/nvdsinfer_model_builder.cpp:1459 Serialize engine failed because of file path: /opt/nvidia/deepstream/deepstream-6.2/samples/models/Primary_Detector/resnet10.caffemodel_b1_gpu0_int8.engine opened error
0:00:30.035964207 29573 0x559d69c1d440 WARN nvinfer gstnvinfer.cpp:677:gst_nvinfer_logger: NvDsInferContext[UID 1]: Warning from NvDsInferContextImpl::buildModel() <nvdsinfer_context_impl.cpp:1950> [UID = 1]: failed to serialize cude engine to file: /opt/nvidia/deepstream/deepstream-6.2/samples/models/Primary_Detector/resnet10.caffemodel_b1_gpu0_int8.engine
WARNING: [TRT]: CUDA lazy loading is not enabled. Enabling it can significantly reduce device memory usage. See CUDA_MODULE_LOADING
in CUDA C++ Programming Guide
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
0:00:30.134006115 29573 0x559d69c1d440 INFO nvinfer gstnvinfer_impl.cpp:328:notifyLoadModelStatus: [UID 1]: Load new model:/opt/nvidia/deepstream/deepstream-6.2/sources/apps/sample_apps/deepstream-test3/dstest3_pgie_config.yml sucessfully
Decodebin child added: source
(deepstream-test3-app:29573): GLib-GObject-WARNING **: 15:49:45.180: g_object_set_is_valid_property: object class ‘GstFileSrc’ has no property named ‘drop-on-latency’
Decodebin child added: decodebin0
Running…
Decodebin child added: qtdemux0
Decodebin child added: multiqueue0
Decodebin child added: h264parse0
Decodebin child added: capsfilter0
Decodebin child added: aacparse0
Decodebin child added: avdec_aac0
Decodebin child added: nvv4l2decoder0
Frame Number = 0 Number of objects = 14 Vehicle Count = 8 Person Count = 6
Frame Number = 1 Number of objects = 12 Vehicle Count = 7 Person Count = 5
Frame Number = 2 Number of objects = 13 Vehicle Count = 7 Person Count = 6
Frame Number = 3 Number of objects = 11 Vehicle Count = 6 Person Count = 5
cuGraphicsGLRegisterBuffer failed with error(219) gst_eglglessink_cuda_init texture = 1
Frame Number = 4 Number of objects = 14 Vehicle Count = 7 Person Count = 7
Frame Number = 5 Number of objects = 14 Vehicle Count = 8 Person Count = 6
Frame Number = 6 Number of objects = 10 Vehicle Count = 6 Person Count = 4
Frame Number = 7 Number of objects = 11 Vehicle Count = 7 Person Count = 4
Frame Number = 8 Number of objects = 11 Vehicle Count = 6 Person Count = 5
0:00:30.544663092 29573 0x559d69071360 WARN nvinfer gstnvinfer.cpp:2369:gst_nvinfer_output_loop: error: Internal data stream error.
0:00:30.544674105 29573 0x559d69071360 WARN nvinfer gstnvinfer.cpp:2369:gst_nvinfer_output_loop: error: streaming stopped, reason not-negotiated (-4)
ERROR from element primary-nvinference-engine: Internal data stream error.
Error details: gstnvinfer.cpp(2369): gst_nvinfer_output_loop (): /GstPipeline:dstest3-pipeline/GstNvInfer:primary-nvinference-engine:
streaming stopped, reason not-negotiated (-4)
Returned, stopping playback
Frame Number = 9 Number of objects = 10 Vehicle Count = 6 Person Count = 4
Frame Number = 10 Number of objects = 11 Vehicle Count = 6 Person Count = 5
Deleting pipeline
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