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· 实现代码","sourceSlides":[],"knowledgeBlock":null,"formulas":[],"previousBlock":"b-d5d6f006437c658c743ddf2e","nextBlock":"b-4a9811e8ba1398e4e44324f3","prerequisites":[{"id":"b-34c8736eaa53338c7b6794c9","url":"#b-34c8736eaa53338c7b6794c9","role":"section-title"},{"id":"b-59ee07300e9ffb1be92ef972","url":"#b-59ee07300e9ffb1be92ef972","role":"problem-context"}],"relatedBlocks":[]},{"id":"b-4a9811e8ba1398e4e44324f3","type":"pre","scope":"document","url":"https://codingai-lec03.pages.dev/course/notebook-blocks/79753dc070ca46108d4cc8ab56dbe083.html#b-4a9811e8ba1398e4e44324f3","content":"```\nMODES=['head','late','all','scratch']\ndef make_target_model(mode):\n    assert mode in MODES\n    torch.manual_seed(SEED)\n    model=make_cnn()\n    if mode!='scratch':model.load_state_dict(source_state)\n    torch.manual_seed(SEED+1)\n    model.logits=nn.Linear(32,2)\n    for name,param in model.named_parameters():\n        param.requires_grad_(mode in ('all','scratch') or name.startswith('logits.') or (mode=='late' and name.startswith(('conv2.','hidden.'))))\n    return model\nscope_table=[]\nfor mode in MODES:\n    model=make_target_model(mode)\n    scope_table.append({'mode':mode,'trainable':sum(p.numel() for p in model.parameters() if p.requires_grad),'total':sum(p.numel() for p in model.parameters())})\nprint(json.dumps(scope_table,indent=2))\n\n```","sha256":"50df0b56441a59cc0172558e60fc91669887bef661ad949627c013ccd35dbf34","chapter":{"id":"course","title":"2. “冻住”到底冻住哪些参数？ · 实现代码"},"unit":{"id":"notebook-blocks/79753dc070ca46108d4cc8ab56dbe083","title":"2. “冻住”到底冻住哪些参数？ · 实现代码"},"page":{"id":"reading-opening","title":"2. “冻住”到底冻住哪些参数？ · 实现代码","number":1},"sectionTitle":"2. “冻住”到底冻住哪些参数？ · 实现代码","currentQuestion":"2. “冻住”到底冻住哪些参数？ · 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