Tensorflow U-Net using way too much memory

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I'm training a U-Net CNN on a custom dataset, but whenever I train the model, I get an error saying that the memory resources have been exhausted. This does not make sense, though, as my batch size is only 8 (512 x 512 png images).

I am working on VS code with a CUDA-enabled GPU.

I have already tried some popular fixes such as:

tf.compat.v1.reset_default_graph()

config = tf.compat.v1.ConfigProto()
config.gpu_options.allow_growth = True
sess = tf.compat.v1.InteractiveSession(config=config)

but nothing has worked



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