Abstract: Modern deep convolutional neural networks (CNNs) suffer from high computational complexity due to excessive convolution operations. Recently, fast convolution algorithms such as fast Fourier ...
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torchrun --standalone --nproc_per_node=8 train.py \ --out_dir=outputs/climbmix1B \ --dim=2048 --n_layers=21 --num_heads=6 \ --head_k_dim=256 --head_v_dim=512 --hidden ...
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