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fig.tight_layout()\nfig.savefig(OUT/'lab13-caption-predictions.png',dpi=160); plt.show(); plt.close(fig)\nfig,axes=plt.subplots(1,2,figsize=(10,3.4))\naxes[0].plot([r['epoch'] for r in curve],[r['train_token_ce'] for r in curve],label='train'); axes[0].plot([r['epoch'] for r in curve],[r['heldout_teacher_forced_ce'] for r in curve],label='held-out'); axes[0].set(xlabel='epoch',ylabel='mean non-pad token CE');axes[0].legend()\nlabels=['greedy','beam 3','zero image','shuffled image'];values=[metrics[k] for k in ['greedy_exact_match','beam3_exact_match','zero_pixels_exact_match','shuffled_pixels_exact_match']]\naxes[1].bar(labels,values,color=['#356b91','#40868e','#a9adb0','#a9adb0']);axes[1].set(ylim=(0,1.12),ylabel='exact caption accuracy (180 images)')\nfor i,v in enumerate(values):axes[1].text(i,v+.025,f'{v:.1%}',ha='center')\nfig.tight_layout();fig.savefig(OUT/'lab13-caption-controls.png',dpi=160);plt.show();plt.close(fig)\nfig,axes=plt.subplots(1,3,figsize=(9,3))\nfor ax,x,row in zip(axes,control_pixels,controls):\n    ax.imshow(x.permute(1,2,0));ax.axis('off');ax.set_title('prefix: <bos> a\\n'+row['generated'],fontsize=10)\nfig.tight_layout();fig.savefig(OUT/'lab13-same-prefix.png',dpi=160);plt.show();plt.close(fig)\nresult={'notebook_id':'3da47f3ee3554ee0a36e0bb6a2fdc61f','execution':'local CPU, fresh process; not a Deepnote cloud run','created_utc':datetime.now(timezone.utc).isoformat(),'elapsed_seconds':time.perf_counter()-START,'environment':{'python':sys.version,'torch':torch.__version__,'numpy':np.__version__,'platform':platform.platform()},'split':{'train_seed':13031,'test_seed':13033,'train_images':720,'test_images':180,'description':'independent noisy renders; same 18 semantic combinations on both sides; no compositional/general-photo claim'},'metrics':metrics,'curve':curve,'same_prefix_controls':controls,'predictions':[{'truth':t,'greedy':p,'beam3':b,'zero':z,'shuffled':s} for t,p,b,z,s in zip(test_text,pred,beam_pred,zero_pred,shuffle_pred)],'weight_sha256':hashlib.sha256((OUT/'lab13-caption-weights.pt').read_bytes()).hexdigest(),'data_sha256':hashlib.sha256((OUT/'lab13-data.npz').read_bytes()).hexdigest()}\n(OUT/'lab13-results.json').write_text(json.dumps(result,indent=2))\nprint('saved',OUT,'seconds',round(result['elapsed_seconds'],2))\n```","sha256":"fe6b7b975ffb43f76795d7a6d1dd588c056cfb2c1266f38d7307a533a1177f11","chapter":{"id":"course","title":"5. 读真实图、真实曲线与失败边界 · 实现代码"},"unit":{"id":"notebook-blocks/1a6a0f13eab24338b41badd5b17c9678","title":"5. 读真实图、真实曲线与失败边界 · 实现代码"},"page":{"id":"reading-opening","title":"5. 读真实图、真实曲线与失败边界 · 实现代码","number":1},"sectionTitle":"5. 读真实图、真实曲线与失败边界 · 实现代码","currentQuestion":"5. 读真实图、真实曲线与失败边界 · 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