CUDA Error: no kernel image is available for execution on the device

[TheAshwanik]

Hi,
I was following your example on youtube to try the demo. But I get this error when I run this video demo

[yolo] params: iou loss: ciou (4), iou_norm: 0.07, cls_norm: 1.00, scale_x_y: 1.05
nms_kind: greedynms (1), beta = 0.600000
Total BFLOPS 128.459
avg_outputs = 1068395
 Allocate additional workspace_size = 0.01 MB
 Try to load weights: ./yolov4.weights
Loading weights from ./yolov4.weights...
 seen 64, trained: 32032 K-images (500 Kilo-batches_64)
CUDA status Error: file: D:/Development_work/darknet/src/convolutional_kernels.cu : cuda_convert_f32_to_f16() : line: 138 : build time: Aug 23 2020 - 07:56:31

*CUDA Error: no kernel image is available for execution on the device*

*CUDA Error: no kernel image is available for execution on the device: No error*

PS D:\Development_work\darknet\build\darknet\x64> nvcc --version
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2020 NVIDIA Corporation
Built on Wed_Jul_22_19:09:35_Pacific_Daylight_Time_2020
Cuda compilation tools, release 11.0, V11.0.221
Build cuda_11.0_bu.relgpu_drvr445TC445_37.28845127_0

Opencv: 4.4.0
Darknet: latest
CUDA: 11.0.
CUDNN: cudnn-11.0-windows-x64-v8.0.2.39