# "No Kernel Image is Available for execution on the device" Error using Deepstream **URL:** \ **Category:** DeepStream SDK\ **Tags:** cuda\ **Created:** [May 28, 2020, 3:10am UTC](https://forums.developer.nvidia.com/t/no-kernel-image-is-available-for-execution-on-the-device-error-using-deepstream/125147 "2020-05-28T03:10:13Z")\ **Posts on this page:** 1\ **Showing post:** 1
**Author:** ![jflores](https://developer.download.nvidia.com/images/forums/profile-default-devtalk-84.png) [@jflores](https://forums.developer.nvidia.com/u/jflores)\ **Post date:** [May 28, 2020, 3:10am UTC](https://forums.developer.nvidia.com/t/no-kernel-image-is-available-for-execution-on-the-device-error-using-deepstream/125147/1 "2020-05-28T03:10:13Z")
Please provide complete information as applicable to your setup. **• Hardware Platform (K80)** \*\*• DeepStream Version DS5, (but also DS4.2, DS4.0) **• TensorRT Version** TRT10.2 **• NVIDIA GPU Driver Version (valid for GPU only)** I have a VM in Azure that come automatically with Nvidia Drivers and K80 GPUs. I installed Cuda 10.2, TensorRT7 and Deepstream 5.0. When I run the “deepstream-app -c config” I get the following error. This error does not occur on V100s only on K80. ``` `ERROR: ../nvdsinfer/nvdsinfer_func_utils.cpp:31 [TRT]: engine.cpp (418) - Cuda Error in enqueueInternal: 209 (no kernel image is available for execution on the device)` ``` I already modify the config\_infer\* file to force the engine to FP32 since K80 I run the `trtexec` test to isolate tensorrt and it PASSED `/usr/src/tensorrt/bin/trtexec --deploy=/opt/nvidia/deepstream/deepstream/samples/models/Primary_Detector/resnet10.prototxt --output=conv2d_bbox --output=conv2d_cov/Sigmoid` Bellow is entire error `deepstream-app -c samples/configs/deepstream-app/test1.txt ***DeepStream: Launched RTSP Streaming at rtsp://localhost:8554/ds-test*** WARNING: ../nvdsinfer/nvdsinfer_func_utils.cpp:34 [TRT]: Current optimization profile is: 0. Please ensure there are no enqueued operations pending in this context prior to switching profiles 0:00:02.412796195 24796 0x5615b3697660 INFO nvinfer gstnvinfer.cpp:602:gst_nvinfer_logger: NvDsInferContext[UID 1]: Info from NvDsInferContextImpl::deserializeEngineAndBackend() [UID = 1]: deserialized trt engine from :/opt/nvidia/deepstream/deepstream-5.0/samples/configs/deepstream-app/../../models/Primary_Detector/resnet10.caffemodel_b30_gpu0_fp32.engine INFO: ../nvdsinfer/nvdsinfer_model_builder.cpp:685 [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 0:00:02.412893794 24796 0x5615b3697660 INFO nvinfer gstnvinfer.cpp:602:gst_nvinfer_logger: NvDsInferContext[UID 1]: Info from NvDsInferContextImpl::generateBackendContext() [UID = 1]: Use deserialized engine model: /opt/nvidia/deepstream/deepstream-5.0/samples/configs/deepstream-app/../../models/Primary_Detector/resnet10.caffemodel_b30_gpu0_fp32.engine 0:00:02.416767248 24796 0x5615b3697660 INFO nvinfer gstnvinfer_impl.cpp:311:notifyLoadModelStatus: [UID 1]: Load new model:/opt/nvidia/deepstream/deepstream-5.0/samples/configs/deepstream-app/config_infer_primary_4j.txt sucessfully Runtime commands: h: Print this help q: Quit p: Pause r: Resume NOTE: To expand a source in the 2D tiled display and view object details, left-click on the source. To go back to the tiled display, right-click anywhere on the window. ** INFO: : Pipeline ready ERROR: ../nvdsinfer/nvdsinfer_func_utils.cpp:31 [TRT]: engine.cpp (418) - Cuda Error in enqueueInternal: 209 (no kernel image is available for execution on the device) ERROR: ../nvdsinfer/nvdsinfer_func_utils.cpp:31 [TRT]: FAILED_EXECUTION: std::exception ERROR: nvdsinfer_backend.cpp:290 Failed to enqueue inference batch ERROR: nvdsinfer_context_impl.cpp:1408 Infer context enqueue buffer failed, nvinfer error:NVDSINFER_TENSORRT_ERROR 0:00:02.661474277 24796 0x5615acdada80 WARN nvinfer gstnvinfer.cpp:1188:gst_nvinfer_input_queue_loop: error: Failed to queue input batch for inferencing ERROR from primary_gie: Failed to queue input batch for inferencing Debug info: gstnvinfer.cpp(1188): gst_nvinfer_input_queue_loop (): /GstPipeline:pipeline/GstBin:primary_gie_bin/GstNvInfer:primary_gie Quitting ERROR: ../nvdsinfer/nvdsinfer_func_utils.cpp:31 [TRT]: engine.cpp (418) - Cuda Error in enqueueInternal: 209 (no kernel image is available for execution on the device) ERROR: ../nvdsinfer/nvdsinfer_func_utils.cpp:31 [TRT]: FAILED_EXECUTION: std::exception ERROR: nvdsinfer_backend.cpp:290 Failed to enqueue inference batch ERROR: nvdsinfer_context_impl.cpp:1408 Infer context enqueue buffer failed, nvinfer error:NVDSINFER_TENSORRT_ERROR 0:00:02.707134642 24796 0x5615acdada80 WARN nvinfer gstnvinfer.cpp:1188:gst_nvinfer_input_queue_loop: error: Failed to queue input batch for inferencing ERROR: ../nvdsinfer/nvdsinfer_func_utils.cpp:31 [TRT]: engine.cpp (418) - Cuda Error in enqueueInternal: 209 (no kernel image is available for execution on the device) ERROR: ../nvdsinfer/nvdsinfer_func_utils.cpp:31 [TRT]: FAILED_EXECUTION: std::exception ERROR: nvdsinfer_backend.cpp:290 Failed to enqueue inference batch ERROR: nvdsinfer_context_impl.cpp:1408 Infer context enqueue buffer failed, nvinfer error:NVDSINFER_TENSORRT_ERROR 0:00:02.743666413 24796 0x5615acdada80 WARN nvinfer gstnvinfer.cpp:1188:gst_nvinfer_input_queue_loop: error: Failed to queue input batch for inferencing ERROR from primary_gie: Failed to queue input batch for inferencing Debug info: gstnvinfer.cpp(1188): gst_nvinfer_input_queue_loop (): /GstPipeline:pipeline/GstBin:primary_gie_bin/GstNvInfer:primary_gie ERROR from primary_gie: Failed to queue input batch for inferencing Debug info: gstnvinfer.cpp(1188): gst_nvinfer_input_queue_loop (): /GstPipeline:pipeline/GstBin:primary_gie_bin/GstNvInfer:primary_gie ERROR: ../nvdsinfer/nvdsinfer_func_utils.cpp:31 [TRT]: engine.cpp (418) - Cuda Error in enqueueInternal: 209 (no kernel image is available for execution on the device) ERROR: ../nvdsinfer/nvdsinfer_func_utils.cpp:31 [TRT]: FAILED_EXECUTION: std::exception ERROR: nvdsinfer_backend.cpp:290 Failed to enqueue inference batch ERROR: nvdsinfer_context_impl.cpp:1408 Infer context enqueue buffer failed, nvinfer error:NVDSINFER_TENSORRT_ERROR 0:00:02.791575451 24796 0x5615acdada80 WARN nvinfer gstnvinfer.cpp:1188:gst_nvinfer_input_queue_loop: error: Failed to queue input batch for inferencing ERROR: ../nvdsinfer/nvdsinfer_func_utils.cpp:31 [TRT]: engine.cpp (418) - Cuda Error in enqueueInternal: 209 (no kernel image is available for execution on the device) ERROR: ../nvdsinfer/nvdsinfer_func_utils.cpp:31 [TRT]: FAILED_EXECUTION: std::exception ERROR: nvdsinfer_backend.cpp:290 Failed to enqueue inference batch ERROR: nvdsinfer_context_impl.cpp:1408 Infer context enqueue buffer failed, nvinfer error:NVDSINFER_TENSORRT_ERROR 0:00:02.850948955 24796 0x5615acdada80 WARN nvinfer gstnvinfer.cpp:1188:gst_nvinfer_input_queue_loop: error: Failed to queue input batch for inferencing ERROR: ../nvdsinfer/nvdsinfer_func_utils.cpp:31 [TRT]: engine.cpp (418) - Cuda Error in enqueueInternal: 209 (no kernel image is available for execution on the device) ERROR: ../nvdsinfer/nvdsinfer_func_utils.cpp:31 [TRT]: FAILED_EXECUTION: std::exception ERROR: nvdsinfer_backend.cpp:290 Failed to enqueue inference batch ERROR: nvdsinfer_context_impl.cpp:1408 Infer context enqueue buffer failed, nvinfer error:NVDSINFER_TENSORRT_ERROR 0:00:02.897822705 24796 0x5615acdada80 WARN nvinfer gstnvinfer.cpp:1188:gst_nvinfer_input_queue_loop: error: Failed to queue input batch for inferencing App run failed` --- _[View the full topic](https://forums.developer.nvidia.com/t/no-kernel-image-is-available-for-execution-on-the-device-error-using-deepstream/125147)._