Deepstream-lpr-app returns Error Code 3: API Usage Error (Parameter check failed at: optimizer/api/builder.cpp

Accelerated Computing Intelligent Video Analytics DeepStream SDK
1

I am trying to run NVIDIA sample License Plate Recognition app deepstream_lpr_app for U.S. license plates on NVIDIA Xavier NX 8GB with JetPack 5.1.1, DeepStream 6.2 and TensorRT 8.5.2 and get the following errors:

  • ERROR: [TRT]: 3: Cannot find binding of given name: output_bbox/BiasAdd
  • ERROR: [TRT]: 3: Cannot find binding of given name: output_cov/Sigmoid
  • ERROR: [TRT]: 3: [builder.cpp::~Builder::307] Error Code 3: API Usage Error (Parameter check failed at: optimizer/api/builder.cpp::~Builder::307, condition: mObjectCounter.use_count() == 1. Destroying a builder object before destroying objects it created leads to undefined behavior.)

Please find the full output below:

artem@ubuntu:~/Projects/deepstream_lpr_app/deepstream-lpr-app$ ./deepstream-lpr-app 1 3 0 infer /home/artem/Downloads/us_cars.mp4  output.264
use_nvinfer_server:0, use_triton_grpc:0
Request sink_0 pad from streammux
Warning: 'input-dims' parameter has been deprecated. Use 'infer-dims' instead.
Now playing: 1

Using winsys: x11 
Opening in BLOCKING MODE 
WARNING: [TRT]: Using an engine plan file across different models of devices is not recommended and is likely to affect performance or even cause errors.
0:00:06.803720845  3613 0xaaaab87f3f60 INFO                 nvinfer gstnvinfer.cpp:680:gst_nvinfer_logger:<secondary-infer-engine2> NvDsInferContext[UID 3]: Info from NvDsInferContextImpl::deserializeEngineAndBackend() <nvdsinfer_context_impl.cpp:1909> [UID = 3]: deserialized trt engine from :/home/artem/Projects/deepstream_lpr_app/models/LP/LPR/us_lprnet_baseline18_deployable.etlt_b16_gpu0_fp16.engine
INFO: [FullDims Engine Info]: layers num: 3
0   INPUT  kFLOAT image_input     3x48x96         min: 1x3x48x96       opt: 16x3x48x96      Max: 16x3x48x96      
1   OUTPUT kINT32 tf_op_layer_ArgMax 24              min: 0               opt: 0               Max: 0               
2   OUTPUT kFLOAT tf_op_layer_Max 24              min: 0               opt: 0               Max: 0               

ERROR: [TRT]: 3: Cannot find binding of given name: output_bbox/BiasAdd
0:00:06.891514941  3613 0xaaaab87f3f60 WARN                 nvinfer gstnvinfer.cpp:677:gst_nvinfer_logger:<secondary-infer-engine2> NvDsInferContext[UID 3]: Warning from NvDsInferContextImpl::checkBackendParams() <nvdsinfer_context_impl.cpp:1876> [UID = 3]: Could not find output layer 'output_bbox/BiasAdd' in engine
ERROR: [TRT]: 3: Cannot find binding of given name: output_cov/Sigmoid
0:00:06.891637150  3613 0xaaaab87f3f60 WARN                 nvinfer gstnvinfer.cpp:677:gst_nvinfer_logger:<secondary-infer-engine2> NvDsInferContext[UID 3]: Warning from NvDsInferContextImpl::checkBackendParams() <nvdsinfer_context_impl.cpp:1876> [UID = 3]: Could not find output layer 'output_cov/Sigmoid' in engine
0:00:06.891709854  3613 0xaaaab87f3f60 INFO                 nvinfer gstnvinfer.cpp:680:gst_nvinfer_logger:<secondary-infer-engine2> NvDsInferContext[UID 3]: Info from NvDsInferContextImpl::generateBackendContext() <nvdsinfer_context_impl.cpp:2012> [UID = 3]: Use deserialized engine model: /home/artem/Projects/deepstream_lpr_app/models/LP/LPR/us_lprnet_baseline18_deployable.etlt_b16_gpu0_fp16.engine
0:00:06.932521622  3613 0xaaaab87f3f60 INFO                 nvinfer gstnvinfer_impl.cpp:328:notifyLoadModelStatus:<secondary-infer-engine2> [UID 3]: Load new model:lpr_config_sgie_us.txt sucessfully
WARNING: Deserialize engine failed because file path: /home/artem/Projects/deepstream_lpr_app/deepstream-lpr-app/../models/tao_pretrained_models/yolov4-tiny/yolov4_tiny_usa_deployable.etlt_b16_gpu0_int8.engine open error
0:00:08.054387150  3613 0xaaaab87f3f60 WARN                 nvinfer gstnvinfer.cpp:677:gst_nvinfer_logger:<secondary-infer-engine1> NvDsInferContext[UID 2]: Warning from NvDsInferContextImpl::deserializeEngineAndBackend() <nvdsinfer_context_impl.cpp:1897> [UID = 2]: deserialize engine from file :/home/artem/Projects/deepstream_lpr_app/deepstream-lpr-app/../models/tao_pretrained_models/yolov4-tiny/yolov4_tiny_usa_deployable.etlt_b16_gpu0_int8.engine failed
0:00:08.146291313  3613 0xaaaab87f3f60 WARN                 nvinfer gstnvinfer.cpp:677:gst_nvinfer_logger:<secondary-infer-engine1> NvDsInferContext[UID 2]: Warning from NvDsInferContextImpl::generateBackendContext() <nvdsinfer_context_impl.cpp:2002> [UID = 2]: deserialize backend context from engine from file :/home/artem/Projects/deepstream_lpr_app/deepstream-lpr-app/../models/tao_pretrained_models/yolov4-tiny/yolov4_tiny_usa_deployable.etlt_b16_gpu0_int8.engine failed, try rebuild
0:00:08.146413266  3613 0xaaaab87f3f60 INFO                 nvinfer gstnvinfer.cpp:680:gst_nvinfer_logger:<secondary-infer-engine1> NvDsInferContext[UID 2]: Info from NvDsInferContextImpl::buildModel() <nvdsinfer_context_impl.cpp:1923> [UID = 2]: Trying to create engine from model files
ERROR: [TRT]: 3: [builder.cpp::~Builder::307] Error Code 3: API Usage Error (Parameter check failed at: optimizer/api/builder.cpp::~Builder::307, condition: mObjectCounter.use_count() == 1. Destroying a builder object before destroying objects it created leads to undefined behavior.
)
WARNING: [TRT]: onnx2trt_utils.cpp:375: Your ONNX model has been generated with INT64 weights, while TensorRT does not natively support INT64. Attempting to cast down to INT32.
WARNING: [TRT]: onnx2trt_utils.cpp:403: One or more weights outside the range of INT32 was clamped
WARNING: [TRT]: onnx2trt_utils.cpp:403: One or more weights outside the range of INT32 was clamped
WARNING: [TRT]: onnx2trt_utils.cpp:403: One or more weights outside the range of INT32 was clamped
WARNING: [TRT]: onnx2trt_utils.cpp:403: One or more weights outside the range of INT32 was clamped
WARNING: [TRT]: onnx2trt_utils.cpp:403: One or more weights outside the range of INT32 was clamped
WARNING: [TRT]: onnx2trt_utils.cpp:403: One or more weights outside the range of INT32 was clamped
WARNING: [TRT]: onnx2trt_utils.cpp:403: One or more weights outside the range of INT32 was clamped
WARNING: [TRT]: onnx2trt_utils.cpp:403: One or more weights outside the range of INT32 was clamped
WARNING: [TRT]: onnx2trt_utils.cpp:403: One or more weights outside the range of INT32 was clamped
WARNING: [TRT]: onnx2trt_utils.cpp:403: One or more weights outside the range of INT32 was clamped
WARNING: [TRT]: onnx2trt_utils.cpp:403: One or more weights outside the range of INT32 was clamped
WARNING: [TRT]: onnx2trt_utils.cpp:403: One or more weights outside the range of INT32 was clamped
WARNING: [TRT]: onnx2trt_utils.cpp:403: One or more weights outside the range of INT32 was clamped
WARNING: [TRT]: onnx2trt_utils.cpp:403: One or more weights outside the range of INT32 was clamped
WARNING: [TRT]: onnx2trt_utils.cpp:403: One or more weights outside the range of INT32 was clamped
WARNING: [TRT]: onnx2trt_utils.cpp:403: One or more weights outside the range of INT32 was clamped
WARNING: [TRT]: onnx2trt_utils.cpp:403: One or more weights outside the range of INT32 was clamped
WARNING: [TRT]: onnx2trt_utils.cpp:403: One or more weights outside the range of INT32 was clamped
WARNING: [TRT]: onnx2trt_utils.cpp:403: One or more weights outside the range of INT32 was clamped
WARNING: [TRT]: onnx2trt_utils.cpp:403: One or more weights outside the range of INT32 was clamped
WARNING: [TRT]: onnx2trt_utils.cpp:403: One or more weights outside the range of INT32 was clamped
WARNING: [TRT]: builtin_op_importers.cpp:5243: Attribute caffeSemantics not found in plugin node! Ensure that the plugin creator has a default value defined or the engine may fail to build.
WARNING: [TRT]: DLA requests all profiles have same min, max, and opt value. All dla layers are falling back to GPU
WARNING: [TRT]: Missing scale and zero-point for tensor (Unnamed Layer* 125) [Constant]_output, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
WARNING: [TRT]: Missing scale and zero-point for tensor (Unnamed Layer* 207) [Constant]_output, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
WARNING: [TRT]: Missing scale and zero-point for tensor (Unnamed Layer* 208) [Shuffle]_output, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
WARNING: [TRT]: Missing scale and zero-point for tensor (Unnamed Layer* 210) [Constant]_output, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
WARNING: [TRT]: Missing scale and zero-point for tensor (Unnamed Layer* 217) [Constant]_output, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
WARNING: [TRT]: Missing scale and zero-point for tensor (Unnamed Layer* 218) [Shuffle]_output, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
WARNING: [TRT]: Missing scale and zero-point for tensor (Unnamed Layer* 224) [Constant]_output, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
WARNING: [TRT]: Missing scale and zero-point for tensor (Unnamed Layer* 225) [Shuffle]_output, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
WARNING: [TRT]: Missing scale and zero-point for tensor (Unnamed Layer* 289) [Constant]_output, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
WARNING: [TRT]: Missing scale and zero-point for tensor (Unnamed Layer* 290) [Shuffle]_output, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
WARNING: [TRT]: Missing scale and zero-point for tensor (Unnamed Layer* 293) [Constant]_output, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
WARNING: [TRT]: Missing scale and zero-point for tensor (Unnamed Layer* 294) [Shuffle]_output, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
WARNING: [TRT]: Missing scale and zero-point for tensor (Unnamed Layer* 298) [Constant]_output, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
WARNING: [TRT]: Missing scale and zero-point for tensor (Unnamed Layer* 299) [Shuffle]_output, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
WARNING: [TRT]: Missing scale and zero-point for tensor (Unnamed Layer* 555) [Constant]_output, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
WARNING: [TRT]: Missing scale and zero-point for tensor (Unnamed Layer* 556) [Shuffle]_output, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
WARNING: [TRT]: Missing scale and zero-point for tensor (Unnamed Layer* 559) [Constant]_output, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
WARNING: [TRT]: Missing scale and zero-point for tensor (Unnamed Layer* 560) [Shuffle]_output, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
WARNING: [TRT]: Missing scale and zero-point for tensor BatchedNMS, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
3

This is an error in our config file. The layer in the config file does not match the actual layer of the model. But this does not affect the actual reference results. For the inference process, we use layers parsed from the model. We’ll modify the configuration file in the next version.

This is a print error about TensorRT, we are checking that. But this does not affect the actual reference results too.

5

Well, but I can’t get the inference results.
It seems that inference process is not running at all:

  • there is no window with video and inference bounding boxes on the display
  • the output file is not created

deepstream-lpr-app just hangs up the console, producing no output, so I have to press Ctrl+C to terminate it.

6

Because there are many models involved in this demo, it takes a long time to convert the engine. Also, you can also monitor your memory when run this demo to ensure that it is sufficient.

7

Yep, it worked after some time. Thanks @yuweiw!

8

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