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b=torch.zeros_like(a)\n    if dx>=0:b[:,:,:,dx:]=a[:,:,:,:a.shape[-1]-dx]\n    else:b[:,:,:,:dx]=a[:,:,:,-dx:]\n    return b\nx=shift_x(x,DX)\ny=torch.tensor((target['digit_labels']>=5).astype(np.int64))\ntrain_idx=np.flatnonzero(target['split']==0)[:TRAIN_LIMIT]\nval_idx=np.flatnonzero(target['split']==1)\nheldout_idx=np.flatnonzero(target['split']==2)\ntrain_x,train_y=x[train_idx],y[train_idx]\nval_x,val_y=x[val_idx],y[val_idx]\nassert len(set(target['official_train_ids']))==640\nassert not set(train_idx)&set(val_idx) and not set(train_idx)&set(heldout_idx)\nprint('训练/验证/保留：',len(train_idx),len(val_idx),len(heldout_idx),'固定横移',DX)\nprint('训练标签计数',torch.bincount(train_y,minlength=2).tolist(),'验证标签计数',torch.bincount(val_y,minlength=2).tolist())\nfig,axes=plt.subplots(1,8,figsize=(12,2))\nfor i,ax in enumerate(axes):\n    ax.imshow(train_x[i,0],cmap='gray',vmin=0,vmax=1);ax.set_title(f'digit {target[\"digit_labels\"][train_idx[i]]}: y={train_y[i].item()}');ax.axis('off')\nplt.show()\n\n```","sha256":"02d74538e6f7284ba314ae174996ba31ae91ac9421566e640487993906ec5454","chapter":{"id":"course","title":"1. 先写预测，再确定协议 · 实现代码"},"unit":{"id":"notebook-blocks/97b118d3eb0d429aaf8b3875bda3f348","title":"1. 先写预测，再确定协议 · 实现代码"},"page":{"id":"reading-opening","title":"1. 先写预测，再确定协议 · 实现代码","number":1},"sectionTitle":"1. 先写预测，再确定协议 · 实现代码","currentQuestion":"1. 先写预测，再确定协议 · 实现代码","sourceSlides":[],"knowledgeBlock":null,"formulas":[],"previousBlock":"b-ad92da078d15e09e69e7b9d0","nextBlock":null,"prerequisites":[{"id":"b-9beb3ec15f09826535a3de5b","url":"#b-9beb3ec15f09826535a3de5b","role":"section-title"},{"id":"b-c4b44ce5c8b04ee09dbb3218","url":"#b-c4b44ce5c8b04ee09dbb3218","role":"problem-context"}],"relatedBlocks":[]}]}