Problem in executing DeepStream App

I am working on Tensorrt model on deepstream. When i execute deepstream command , it is showing Buffer conversion Failed. What does that mean. And how to solve that error.
When I execute deepstream-app -c deepstream_app_config_yoloV4.txt

siddhu2041@linux:/opt/nvidia/deepstream/deepstream-5.1/sources/objectDetector_Yolo$ deepstream-app -c deepstream_app_config_yoloV4.txt
Unknown or legacy key specified ‘is-classifier’ for group [property]

Using winsys: x11
gstnvtracker: Loading low-level lib at /opt/nvidia/deepstream/deepstream-5.1/lib/
gstnvtracker: Optional NvMOT_RemoveStreams not implemented
gstnvtracker: Batch processing is OFF
gstnvtracker: Past frame output is OFF
0:00:04.968266885 7762 0xe4f5a10 INFO nvinfer gstnvinfer.cpp:619:gst_nvinfer_logger:<primary_gie> NvDsInferContext[UID 1]: Info from NvDsInferContextImpl::deserializeEngineAndBackend() <nvdsinfer_context_impl.cpp:1702> [UID = 1]: deserialized trt engine from :/opt/nvidia/deepstream/deepstream-5.1/sources/objectDetector_Yolo/human_detection/custom-yolov4-tiny_human1-608.engine
INFO: [Implicit Engine Info]: layers num: 3
0 INPUT kFLOAT 000_net 3x608x608
1 OUTPUT kFLOAT 030_convolutional 18x19x19
2 OUTPUT kFLOAT 037_convolutional 18x38x38

0:00:04.968498969 7762 0xe4f5a10 INFO nvinfer gstnvinfer.cpp:619:gst_nvinfer_logger:<primary_gie> NvDsInferContext[UID 1]: Info from NvDsInferContextImpl::generateBackendContext() <nvdsinfer_context_impl.cpp:1806> [UID = 1]: Use deserialized engine model: /opt/nvidia/deepstream/deepstream-5.1/sources/objectDetector_Yolo/human_detection/custom-yolov4-tiny_human1-608.engine
0:00:04.985290989 7762 0xe4f5a10 INFO nvinfer gstnvinfer_impl.cpp:313:notifyLoadModelStatus:<primary_gie> [UID 1]: Load new model:/opt/nvidia/deepstream/deepstream-5.1/sources/objectDetector_Yolo/config_infer_primary_yoloV4.txt sucessfully

Runtime commands:
h: Print this help
q: Quit

    p: Pause
    r: Resume

** INFO: <bus_callback:181>: Pipeline ready

NvMMLiteOpen : Block : BlockType = 261
NVMEDIA: Reading vendor.tegra.display-size : status: 6
NvMMLiteBlockCreate : Block : BlockType = 261
** INFO: <bus_callback:167>: Pipeline running

**PERF: FPS 0 (Avg)
**PERF: 0.00 (0.00)
0:00:05.153740568 7762 0xdf798f0 ERROR nvinfer gstnvinfer.cpp:1111:get_converted_buffer:<primary_gie> cudaMemset2DAsync failed with error cudaErrorInvalidValue while converting buffer
0:00:05.153855933 7762 0xdf798f0 WARN nvinfer gstnvinfer.cpp:1372:gst_nvinfer_process_full_frame:<primary_gie> error: Buffer conversion failed
ERROR from primary_gie: Buffer conversion failed
Debug info: /dvs/git/dirty/git-master_linux/deepstream/sdk/src/gst-plugins/gst-nvinfer/gstnvinfer.cpp(1372): gst_nvinfer_process_full_frame (): /GstPipeline:pipeline/GstBin:primary_gie_bin/GstNvInfer:primary_gie
App run failed

I am enclosing screenshot of the error. Please help me sort out this error.

Moving into DeepStream SDK forum for resolution.

Seems the same with Problem facing with DeepStream App - Intelligent Video Analytics / DeepStream SDK - NVIDIA Developer Forums.

Please create one topic for one problem.