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* Don't use numpy inside hlb_cifar10 training loop * Lint it * jit it * Drop the last half-batch * Use gather for random_crop and reuse perms * Wrap train_cifar in FUSE_ARANGE context * No need to pass FUSE_ARANGE=1 to hlb_cifar10.py * Add cutmix to jittable augmentations * Remove .contiguous() from fetch_batches * Fix indexing boundary --------- Co-authored-by: Irwin1138 <irwin1139@gmail.com>