Error for Crop Height and Width of the FC-DenseNet103?

[AI-ML-Enthusiast]

@GeorgeSeif
Thanks for your awesome repository. I am training FCDenseNet-103 on my own dataset. It is fine with Crop_height and width=512, but when I change it to 1024, it gives the following error:

ResourceExhaustedError (see above for traceback): OOM when allocating tensor with shape[1,288,256,256] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc
[[node FC-DenseNet103_3/denseblock3/BatchNorm_6/FusedBatchNorm (defined at D:\feasibilityAnalysis\RiversideProject\Code\Semantic-SegmentationTF\models\FC_DenseNet_Tiramisu.py:13) ]]
Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info.

[[node Mean_3 (defined at D:/feasibilityAnalysis/RiversideProject/Code/Semantic-SegmentationTF/train.py:102) ]]
Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info.

My environment:
Windows 10
Tensorflow 1.13
python3.6
GPU

Is there any clue to solve this issue?

Thanks in Advanced