cuDNN isn't found FWD algo for convolution. How to TRAIN DARKNET ON GE FORCE GTX 1650
ISSUE: while training Darknet with GE FORCE GTX 1650 using following: CUDA 11.0 cuDNN 8.0.5 OPENCV 4.5
Model starts training with config file details as below for [net] section:
[net]
# Testing
#batch=1
#subdivisions=1
# Training
batch=64
subdivisions=16
width=416
height=416
channels=3
momentum=0.949
decay=0.0005
angle=0
saturation = 1.5
exposure = 1.5
hue=.1
learning_rate=0.001
burn_in=1000
max_batches = 6000
policy=steps
steps=4800,5400
scales=.1,.1
#cutmix=1
mosaic=1
#:104x104 54:52x52 85:26x26 104:13x13 for 416
When I change the batch from 64 to 32 (reducing it ) coupled with subdivisions increased from 16 to as high as 128, it keeps on going well but then stops after some time as reported above:
Error: cuDNN isn't found FWD algo for convolution.
Category Data Science