{"id":2338,"date":"2024-03-10T18:37:34","date_gmt":"2024-03-10T10:37:34","guid":{"rendered":"https:\/\/www.aqwu.net\/wp\/?p=2338"},"modified":"2024-04-28T20:03:41","modified_gmt":"2024-04-28T12:03:41","slug":"%e4%ba%86%e8%a7%a3-openai-%e7%9a%84-gpt2-%e6%a8%a1%e5%9e%8b%e7%bb%93%e6%9e%84%e4%b8%80","status":"publish","type":"post","link":"https:\/\/www.aqwu.net\/wp\/?p=2338","title":{"rendered":"\u4e86\u89e3 OpenAI \u7684 gpt2 \u6a21\u578b\u7ed3\u6784(1)"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\"><strong>0. \u524d\u8a00<\/strong><\/h2>\n\n\n\n<p>\u8981\u4e86\u89e3GPT-2\u6a21\u578b\u7684\u7ed3\u6784\uff0c\u53ef\u4ee5\u4ece\u4ee5\u4e0b\u51e0\u4e2a\u65b9\u9762\u5165\u624b\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>\u5b98\u65b9\u6587\u6863\u548c\u8bba\u6587<\/strong>\uff1a\u6700\u76f4\u63a5\u7684\u65b9\u5f0f\u662f\u9605\u8bfbOpenAI\u53d1\u5e03\u7684GPT-2\u8bba\u6587\uff0c\u4ee5\u53ca\u76f8\u5173\u7684\u5b98\u65b9\u6587\u6863\u3002GPT-2\u7684\u8bba\u6587\u8be6\u7ec6\u63cf\u8ff0\u4e86\u6a21\u578b\u7684\u67b6\u6784\u3001\u8bad\u7ec3\u8fc7\u7a0b\u4ee5\u53ca\u5982\u4f55\u751f\u6210\u6587\u672c\u3002\u8fd9\u5c06\u4e3a\u4f60\u63d0\u4f9b\u4e00\u4e2a\u5168\u9762\u7684\u7406\u89e3\u3002<\/li>\n\n\n\n<li><strong>\u4ee3\u7801\u5e93<\/strong>\uff1a\u67e5\u770bOpenAI\u7684GitHub\u4ee3\u7801\u5e93\uff0c\u5c24\u5176\u662fGPT-2\u7684\u5b9e\u73b0\u4ee3\u7801\u3002\u901a\u8fc7\u4ee3\u7801\uff0c\u4f60\u53ef\u4ee5\u6df1\u5165\u4e86\u89e3\u6a21\u578b\u7684\u7ed3\u6784\uff0c\u5305\u62ec\u5b83\u662f\u5982\u4f55\u88ab\u6784\u5efa\u548c\u8bad\u7ec3\u7684\u3002\u5bf9\u4e8e\u6df1\u5165\u5b66\u4e60\u548c\u5b9e\u8df5\u6765\u8bf4\uff0c\u8fd9\u662f\u975e\u5e38\u6709\u7528\u7684\u8d44\u6e90\u3002<\/li>\n\n\n\n<li><strong>\u6559\u7a0b\u548c\u535a\u5ba2<\/strong>\uff1a\u4e92\u8054\u7f51\u4e0a\u6709\u5f88\u591a\u5173\u4e8eGPT-2\u7684\u6559\u7a0b\u548c\u535a\u5ba2\u6587\u7ae0\u3002\u8fd9\u4e9b\u8d44\u6e90\u901a\u5e38\u4f1a\u4ee5\u66f4\u6613\u4e8e\u7406\u89e3\u7684\u65b9\u5f0f\u89e3\u91ca\u6a21\u578b\u7684\u5de5\u4f5c\u539f\u7406\uff0c\u5bf9\u4e8e\u521d\u5b66\u8005\u6765\u8bf4\u975e\u5e38\u6709\u5e2e\u52a9\u3002<\/li>\n\n\n\n<li><strong>\u5f00\u653e\u8bfe\u7a0b\u548c\u89c6\u9891\u8bb2\u5ea7<\/strong>\uff1a\u5f88\u591a\u5728\u7ebf\u5e73\u53f0\u548c\u5927\u5b66\u63d0\u4f9b\u4e86\u5173\u4e8e\u6df1\u5ea6\u5b66\u4e60\u548c\u81ea\u7136\u8bed\u8a00\u5904\u7406\u7684\u8bfe\u7a0b\uff0c\u5176\u4e2d\u5305\u62ec\u5173\u4e8eGPT-2\u7684\u8bb2\u89e3\u3002\u89c6\u9891\u8bb2\u5ea7\u662f\u5b66\u4e60\u65b0\u6280\u672f\u7684\u53e6\u4e00\u79cd\u5f88\u597d\u7684\u65b9\u5f0f\uff0c\u56e0\u4e3a\u5b83\u4eec\u63d0\u4f9b\u4e86\u89c6\u89c9\u548c\u542c\u89c9\u7684\u5b66\u4e60\u6750\u6599\u3002<\/li>\n\n\n\n<li><strong>\u793e\u533a\u548c\u8bba\u575b<\/strong>\uff1a\u52a0\u5165\u76f8\u5173\u7684\u5728\u7ebf\u793e\u533a\u548c\u8bba\u575b\uff0c\u5982Reddit\u7684r\/MachineLearning\u3001Stack Overflow\u4ee5\u53caOpenAI\u7684\u5b98\u65b9\u8bba\u575b\u3002\u5728\u8fd9\u4e9b\u5e73\u53f0\u4e0a\uff0c\u4f60\u53ef\u4ee5\u63d0\u95ee\u3001\u5206\u4eab\u77e5\u8bc6\uff0c\u5e76\u4e0e\u5176\u4ed6\u4eba\u8ba8\u8bbaGPT-2\u76f8\u5173\u7684\u4e3b\u9898\u3002<\/li>\n<\/ol>\n\n\n\n<p>GPT-2\u4e3b\u8981\u57fa\u4e8eTransformer\u67b6\u6784\uff0c\u4f7f\u7528\u4e86\u591a\u5c42\u7684Transformer\u89e3\u7801\u5668\u3002\u6bcf\u4e00\u5c42\u90fd\u5305\u62ec\u81ea\u6ce8\u610f\u529b\u673a\u5236\u548c\u524d\u9988\u795e\u7ecf\u7f51\u7edc\uff0c\u901a\u8fc7\u8fd9\u79cd\u65b9\u5f0f\uff0cGPT-2\u80fd\u591f\u6355\u6349\u5230\u8f93\u5165\u6587\u672c\u4e2d\u7684\u590d\u6742\u6a21\u5f0f\u548c\u5173\u7cfb\u3002\u7406\u89e3\u8fd9\u4e9b\u57fa\u7840\u6982\u5ff5\u5c06\u5e2e\u52a9\u4f60\u66f4\u597d\u5730\u638c\u63e1GPT-2\u6a21\u578b\u7684\u5de5\u4f5c\u539f\u7406\u3002<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>2. gpt-2 \u7684github \u94fe\u63a5<\/strong><\/h2>\n\n\n\n<p>OpenAI\u7684GPT-2\u6a21\u578b\u53ca\u5176\u76f8\u5173\u4ee3\u7801\u53ef\u4ee5\u5728GitHub\u4e0a\u627e\u5230\uff0c\u5c3d\u7ba1OpenAI\u6ca1\u6709\u53d1\u5e03\u5b8c\u6574\u7684\u8bad\u7ec3\u6a21\u578b\u4ee5\u907f\u514d\u6f5c\u5728\u7684\u6ee5\u7528\u98ce\u9669\uff0c\u4ed6\u4eec\u786e\u5b9e\u63d0\u4f9b\u4e86\u51e0\u79cd\u5927\u5c0f\u7684\u9884\u8bad\u7ec3\u6a21\u578b\u548c\u6e90\u4ee3\u7801\u3002\u4f60\u53ef\u4ee5\u901a\u8fc7\u8bbf\u95ee\u4ee5\u4e0b\u94fe\u63a5\u6765\u83b7\u53d6\uff1a<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/github.com\/openai\/gpt-2\">OpenAI GPT-2 GitHub\u9875\u9762<\/a><\/li>\n<\/ul>\n\n\n\n<p>\u8fd9\u4e2aGitHub\u4ed3\u5e93\u63d0\u4f9b\u4e86\u6a21\u578b\u7684\u4e0b\u8f7d\u94fe\u63a5\u3001\u5b89\u88c5\u6307\u5357\u3001\u4f7f\u7528\u65b9\u6cd5\u548c\u793a\u4f8b\u4ee3\u7801\uff0c\u4ee5\u5e2e\u52a9\u5f00\u53d1\u8005\u548c\u7814\u7a76\u4eba\u5458\u5f00\u59cb\u4f7f\u7528GPT-2\u8fdb\u884c\u7814\u7a76\u6216\u5f00\u53d1\u9879\u76ee\u3002\u6b64\u5916\uff0c\u4ed3\u5e93\u4e2d\u8fd8\u5305\u542b\u4e86\u5173\u4e8e\u5982\u4f55\u4f7f\u7528\u8fd9\u4e9b\u6a21\u578b\u751f\u6210\u6587\u672c\u3001\u8fdb\u884c\u5fae\u8c03\u4ee5\u53ca\u5176\u4ed6\u9ad8\u7ea7\u7528\u6cd5\u7684\u8be6\u7ec6\u8bf4\u660e\u3002<\/p>\n\n\n\n<p>\u4f46\u8fd9\u4e9b\u4ee3\u7801\u53ef\u80fd\u4e0d\u80fd\u4f7f\u7528\uff0c\u56e0\u4e3a\u5f88\u65e9\u53d1\u5e03\u7684\uff0c\u9700\u8981\u7684\u4e00\u4e9bpython \u53ef\u80fd\u4e0d\u5b58\u5728\u4e86\u3002<\/p>\n\n\n\n<p>\u6240\u4ee5\u6211\u4eec\u81ea\u5df1\u7f16\u5199\uff0c\u4e0d\u4f1a\uff1f\u90a3\u5c31\u95eeChatGPT \u6216\u662f\u5176\u4ed6\u6a21\u578b<\/p>\n\n\n\n<p>\u4f46\u662f\u8fd8\u662f\u5efa\u8bae\u514b\u9686\u4e00\u4efd\uff0c\u56e0\u4e3a\u9700\u8981\u4e0b\u8f7d\u6a21\u578b\u3002<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>3. <\/strong>\u73af\u5883\u51c6\u5907<\/h2>\n\n\n\n<div class=\"wp-block-urvanov-syntax-highlighter-code-block\"><pre class=\"lang:sh decode:true \">conda create -yn gpt-2\nconda activate gpt-2\n\ngit clone https:\/\/github.com\/openai\/gpt-2\n\ncd gpt-2\nmkdir newsrc\nmkdir -p models\/gpt<\/pre><\/div>\n\n\n\n<p>\u6a21\u578b\u6587\u4ef6\u4f1a\u653e\u5728 models\/gpt \u76ee\u5f55\u4e0b<\/p>\n\n\n\n<p>\u4e0b\u9762\u7684\u6d4b\u8bd5\u7a0b\u5e8f\u4f1a\u653e\u5728newsrc\u76ee\u5f55\u4e0b<\/p>\n\n\n\n<div class=\"wp-block-urvanov-syntax-highlighter-code-block\"><pre class=\"lang:sh decode:true \">ls -l\ntotal 40\n-rwxrwxrwx 1 tony tony   551 Sep 26 18:44 CONTRIBUTORS.md\n-rwxrwxrwx 1 tony tony  2188 Sep 26 18:44 DEVELOPERS.md\n-rwxrwxrwx 1 tony tony   279 Sep 26 18:44 Dockerfile.cpu\n-rwxrwxrwx 1 tony tony   548 Sep 26 18:44 Dockerfile.gpu\n-rwxrwxrwx 1 tony tony  1403 Sep 26 18:44 LICENSE\n-rwxrwxrwx 1 tony tony  2831 Mar 10 15:14 README.md\n-rwxrwxrwx 1 tony tony 14754 Sep 26 18:44 domains.txt\n-rwxrwxrwx 1 tony tony  1075 Sep 26 18:44 download_model.py\n-rwxrwxrwx 1 tony tony  4989 Sep 26 18:44 model_card.md\ndrwxrwxrwx 1 tony tony  4096 Mar 10 16:28 models\ndrwxrwxrwx 1 tony tony  4096 Mar 10 19:09 newsrc\n-rwxrwxrwx 1 tony tony    58 Sep 26 18:44 requirements.txt\ndrwxrwxrwx 1 tony tony  4096 Mar 10 16:17 src<\/pre><\/div>\n\n\n\n<h2 class=\"wp-block-heading\">3. \u793a\u4f8b\u4ee3\u7801<\/h2>\n\n\n\n<p>\u63d0\u4f9b\u4e00\u4e2a\u57fa\u672c\u6846\u67b6\u3002\u8fd9\u4e2a\u793a\u4f8b\u5c06\u4f7f\u7528TensorFlow 2.x\u548c<code>transformers<\/code>\u5e93\uff08\u7531Hugging Face\u63d0\u4f9b\uff0c\u975e\u5e38\u9002\u5408\u5904\u7406\u5404\u79cd\u9884\u8bad\u7ec3\u7684transformer\u6a21\u578b\uff0c\u5305\u62ecGPT-2\uff09\u6765\u521b\u5efa\u4e00\u4e2a\u7b80\u5355\u7684\u6587\u672c\u751f\u6210\u5e94\u7528\u3002\u8fd9\u8981\u6c42\u4f60\u5df2\u7ecf\u5b89\u88c5\u4e86<code>transformers<\/code>\u5e93\uff0c\u5982\u679c\u6ca1\u6709\uff0c\u4f60\u53ef\u4ee5\u901a\u8fc7<code>pip install transformers<\/code>\u547d\u4ee4\u5b89\u88c5<\/p>\n\n\n\n<div class=\"wp-block-urvanov-syntax-highlighter-code-block\"><pre class=\"bottom-set:false lang:sh decode:true \">pip install transformers<\/pre><\/div>\n\n\n\n<p>\u4e0b\u9762\u662f\u7b2c\u4e00\u4e2a\u793a\u4f8b\u4ee3\u7801\uff0c\u547d\u540d\u4e3a test01.py\uff0c\u6587\u4ef6\u4fdd\u5b58\u5230 newsrc \u76ee\u5f55\u4e0b\uff1a<\/p>\n\n\n\n<div class=\"wp-block-urvanov-syntax-highlighter-code-block\"><pre class=\"lang:python decode:true \">from transformers import GPT2LMHeadModel, GPT2Tokenizer\n\ndef generate_text(prompt_text, model_name='gpt2', length=100, temperature=1.0, num_return_sequences=1):\n    # \u52a0\u8f7d\u9884\u8bad\u7ec3\u6a21\u578b\u548c\u5206\u8bcd\u5668\n    tokenizer = GPT2Tokenizer.from_pretrained(model_name)\n    model = GPT2LMHeadModel.from_pretrained(model_name)\n    \n    # \u5bf9\u8f93\u5165\u8fdb\u884c\u7f16\u7801\u4ee5\u4fbf\u6a21\u578b\u80fd\u7406\u89e3\n    input_ids = tokenizer.encode(prompt_text, return_tensors='pt')\n\n    # \u751f\u6210\u6587\u672c\n    output_sequences = model.generate(\n        input_ids=input_ids,\n        max_length=length + len(input_ids[0]),\n        temperature=temperature,\n        top_k=0,\n        top_p=0.9,\n        repetition_penalty=1.0,\n        do_sample=True,\n        num_return_sequences=num_return_sequences,\n    )\n\n    # \u5bf9\u8f93\u51fa\u8fdb\u884c\u89e3\u7801\u5e76\u8fd4\u56de\u7ed3\u679c\n    generated_texts = []\n    for generated_sequence in output_sequences:\n        generated_sequence = generated_sequence.tolist()\n        text = tokenizer.decode(generated_sequence, clean_up_tokenization_spaces=True)\n        generated_texts.append(text[len(tokenizer.decode(input_ids[0], clean_up_tokenization_spaces=True)):])\n\n    return generated_texts\n\nif __name__ == \"__main__\":\n    prompt = \"The meaning of life is\"\n    generated_texts = generate_text(prompt, length=50, temperature=0.7, num_return_sequences=3)\n    for i, text in enumerate(generated_texts):\n        print(f\"Generated text {i+1}: {text}\")\n<\/pre><\/div>\n\n\n\n<p>\u8fd9\u6bb5\u4ee3\u7801\u9996\u5148\u5bfc\u5165\u4e86\u5fc5\u8981\u7684\u7c7b\uff0c\u7136\u540e\u5b9a\u4e49\u4e86\u4e00\u4e2a<code>generate_text<\/code>\u51fd\u6570\uff0c\u8be5\u51fd\u6570\u63a5\u6536\u4e00\u4e2a\u63d0\u793a\u6587\u672c\uff08<code>prompt_text<\/code>\uff09\u548c\u5176\u4ed6\u4e00\u4e9b\u53ef\u9009\u53c2\u6570\uff0c\u5982\u6a21\u578b\u540d\uff08\u9ed8\u8ba4\u662fGPT-2\uff09\u3001\u751f\u6210\u6587\u672c\u7684\u957f\u5ea6\u3001\u6e29\u5ea6\uff08\u7528\u4e8e\u63a7\u5236\u751f\u6210\u6587\u672c\u7684\u521b\u9020\u6027\uff09\u3001\u4ee5\u53ca\u8fd4\u56de\u5e8f\u5217\u7684\u6570\u91cf\u3002\u63a5\u7740\uff0c\u5b83\u4f7f\u7528Hugging Face\u7684<code>transformers<\/code>\u5e93\u6765\u52a0\u8f7d\u9884\u8bad\u7ec3\u7684GPT-2\u6a21\u578b\u548c\u5206\u8bcd\u5668\uff0c\u5c06\u8f93\u5165\u6587\u672c\u7f16\u7801\u6210\u6a21\u578b\u53ef\u4ee5\u7406\u89e3\u7684\u5f62\u5f0f\uff0c\u7136\u540e\u4f7f\u7528\u6a21\u578b\u751f\u6210\u6587\u672c\u5e76\u5c06\u7ed3\u679c\u89e3\u7801\u4e3a\u4eba\u7c7b\u53ef\u8bfb\u7684\u6587\u672c\u3002<\/p>\n\n\n\n<p>\u8bf7\u6ce8\u610f\uff0c\u6839\u636e\u4f60\u4f7f\u7528\u7684\u73af\u5883\u548c<code>transformers<\/code>\u5e93\u7684\u7248\u672c\uff0c\u53ef\u80fd\u9700\u8981\u7a0d\u4f5c\u8c03\u6574\u4ee5\u786e\u4fdd\u4ee3\u7801\u6b63\u5e38\u5de5\u4f5c\u3002\u6b64\u4ee3\u7801\u793a\u4f8b\u65e8\u5728\u63d0\u4f9b\u4e00\u4e2a\u7b80\u5355\u7684\u8d77\u70b9\uff0c\u5e2e\u52a9\u4f60\u5f00\u59cb\u4f7f\u7528GPT-2\u8fdb\u884c\u6587\u672c\u751f\u6210\u3002<\/p>\n\n\n\n<p>\u5728\u4e0a\u9762\u7684\u4ee3\u7801\u91cc\uff0c\u9700\u8981\u4e0b\u8f7d gpt2 \u6a21\u578b\uff0c\u5982\u679c\u4e0b\u8f7d\u5931\u8d25\uff0c\u53ef\u80fd\u662f\u7f51\u7edc\u7684\u95ee\u9898\uff0c\u53c2\u7167 download_model.py \u6587\u4ef6\u4e0b\u8f7d\u6a21\u578b\u3002<\/p>\n\n\n\n<p>download_mode.py \u6587\u4ef6\u91cc\u9762\u7684 124M \u5bf9\u5e94\u7684\u5c31\u662f gpt<\/p>\n\n\n\n<div class=\"wp-block-urvanov-syntax-highlighter-code-block\"><pre class=\"lang:sh decode:true \"> ls -l models\/gpt2\/\ntotal 488036\n-rwxrwxrwx 1 tony tony        77 Mar 10 15:25 checkpoint\n-rwxrwxrwx 1 tony tony   1042301 Mar 10 15:25 encoder.json\n-rwxrwxrwx 1 tony tony        90 Mar 10 15:25 hparams.json\n-rwxrwxrwx 1 tony tony 497759232 Mar 10 15:27 model.ckpt.data-00000-of-00001\n-rwxrwxrwx 1 tony tony      5215 Mar 10 15:27 model.ckpt.index\n-rwxrwxrwx 1 tony tony    471155 Mar 10 15:27 model.ckpt.meta\n-rwxrwxrwx 1 tony tony    456318 Mar 10 15:27 vocab.bpe<\/pre><\/div>\n\n\n\n<p>\u5728\u6a21\u578b\u4e0b\u8f7d\u51c6\u5907\u597d\u540e\uff0c\u6211\u4eec\u8fd0\u884c test01.py<\/p>\n\n\n\n<div class=\"wp-block-urvanov-syntax-highlighter-code-block\"><pre class=\"lang:sh decode:true \">python newsrc\/test01.py\nSetting `pad_token_id` to `eos_token_id`:50256 for open-end generation.\n\nGenerated text 1: The meaning of life is not just to be a place where you can do what you want, but to live your life, and that's what we're trying to do.\n\n\"We're trying to take care of the kids. We're trying to get them to\n\nGenerated text 2: The meaning of life is, first, that it is the foundation of a whole, which is the means of life; and second, that it is the means of life which is the foundation of the world.\n\nThis is what we have said in the first chapter.\n\nGenerated text 3: The meaning of life is to be free from fear and from greed and from the desire to kill, to be free from fear and from fear.\"\n\nWillem Dafoe\n\n\"It's impossible to live without fear. It's not enough to feel fear<\/pre><\/div>\n\n\n\n<p>\u4ece\u8f93\u51fa\u6765\u770b\uff0c\u6a21\u578b\u57fa\u4e8e\u4f60\u63d0\u4f9b\u7684\u63d0\u793a\uff08prompt\uff09&#8221;The meaning of life is&#8221; \u751f\u6210\u4e863\u6bb5\u6587\u672c\u3002<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>4. \u6a21\u578b\u7684\u53c2\u6570\u5927\u5c0f\u5982\u4f55\u8ba1\u7b97\uff1f<\/strong><\/h2>\n\n\n\n<p>\u6a21\u578b\u7684\u53c2\u6570\u5927\u5c0f\u901a\u5e38\u662f\u6307\u6a21\u578b\u53c2\u6570\u7684\u5b58\u50a8\u7a7a\u95f4\u5927\u5c0f\uff0c\u8fd9\u5305\u62ec\u6240\u6709\u7684\u6743\u91cd\u548c\u504f\u7f6e\u9879\u3002\u5bf9\u4e8e\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\uff0c\u5c24\u5176\u662f\u50cfGPT-2\u8fd9\u6837\u7684\u5927\u578b\u6a21\u578b\uff0c\u5927\u5c0f\u53ef\u4ee5\u901a\u8fc7\u8ba1\u7b97\u6a21\u578b\u4e2d\u6240\u6709\u53c2\u6570\u7684\u603b\u6570\u6765\u4f30\u7b97\uff0c\u5e76\u5c06\u5176\u8f6c\u6362\u4e3a\u5b58\u50a8\u7a7a\u95f4\u7684\u9700\u6c42\u3002\u6bcf\u4e2a\u53c2\u6570\u901a\u5e38\u5b58\u50a8\u4e3a32\u4f4d\u6d6e\u70b9\u6570\uff08\u53734\u5b57\u8282\uff09\uff0c\u4f46\u8fd9\u53ef\u80fd\u56e0\u5b9e\u73b0\u548c\u53c2\u6570\u7c7b\u578b\u800c\u5f02\u3002<\/p>\n\n\n\n<p>\u8981\u8ba1\u7b97\u6a21\u578b\u7684\u5927\u5c0f\uff0c\u4f60\u53ef\u4ee5\u9075\u5faa\u4ee5\u4e0b\u6b65\u9aa4\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>\u8ba1\u7b97\u603b\u53c2\u6570\u6570\u91cf<\/strong>\uff1a\u8ba1\u7b97\u6a21\u578b\u4e2d\u6240\u6709\u7684\u53ef\u8bad\u7ec3\u53c2\u6570\uff08\u6743\u91cd\u548c\u504f\u7f6e\uff09\u7684\u603b\u6570\u3002<\/li>\n\n\n\n<li><strong>\u8f6c\u6362\u4e3a\u5b58\u50a8\u5927\u5c0f<\/strong>\uff1a\u5c06\u603b\u53c2\u6570\u6570\u91cf\u4e58\u4ee5\u6bcf\u4e2a\u53c2\u6570\u7684\u5b58\u50a8\u5927\u5c0f\uff08\u4f8b\u5982\uff0c32\u4f4d\u6d6e\u70b9\u6570\u4e3a4\u5b57\u8282\uff09\u3002<\/li>\n<\/ol>\n\n\n\n<p>\u4e0b\u9762\u662f\u4e00\u4e2a\u5982\u4f55\u4f7f\u7528PyTorch\u6765\u8ba1\u7b97\u548c\u6253\u5370GPT-2\u6a21\u578b\u5927\u5c0f\u7684\u793a\u4f8b\u4ee3\u7801\uff0c\u547d\u540d\u4e3a test02.py\uff0c\u6587\u4ef6\u4fdd\u5b58\u5230 newsrc \u76ee\u5f55\u4e0b\uff1a<\/p>\n\n\n\n<div class=\"wp-block-urvanov-syntax-highlighter-code-block\"><pre class=\"lang:python decode:true \">from transformers import GPT2Model\n\n# \u52a0\u8f7d\u9884\u8bad\u7ec3\u7684GPT-2\u6a21\u578b\nmodel = GPT2Model.from_pretrained('gpt2')\n\n# \u8ba1\u7b97\u53c2\u6570\u6570\u91cf\ntotal_params = sum(p.numel() for p in model.parameters())\n\n# \u8ba1\u7b97\u6a21\u578b\u5927\u5c0f\uff08\u4ee5\u5b57\u8282\u4e3a\u5355\u4f4d\uff09\uff0c\u5047\u8bbe\u6bcf\u4e2a\u53c2\u6570\u4e3a32\u4f4d\u6d6e\u70b9\u6570\nmodel_size_bytes = total_params * 4  # 4\u5b57\u8282\/\u53c2\u6570\n\n# \u8f6c\u6362\u4e3a\u66f4\u6613\u4e8e\u7406\u89e3\u7684\u5355\u4f4d\uff1aMB\nmodel_size_mb = model_size_bytes \/ (1024 ** 2)\n\nprint(f\"Total Parameters: {total_params}\")\nprint(f\"Model Size: {model_size_mb:.2f} MB\")\n<\/pre><\/div>\n\n\n\n<p>\u8fd9\u6bb5\u4ee3\u7801\u9996\u5148\u52a0\u8f7d\u4e86\u4e00\u4e2a\u9884\u8bad\u7ec3\u7684GPT-2\u6a21\u578b\uff0c\u7136\u540e\u8ba1\u7b97\u4e86\u6a21\u578b\u4e2d\u6240\u6709\u53c2\u6570\u7684\u603b\u6570\u3002\u901a\u8fc7\u5c06\u603b\u53c2\u6570\u6570\u91cf\u4e58\u4ee5\u6bcf\u4e2a\u53c2\u6570\u7684\u5927\u5c0f\uff084\u5b57\u8282\uff09\uff0c\u6211\u4eec\u5f97\u5230\u4e86\u6a21\u578b\u7684\u5927\u81f4\u5927\u5c0f\uff08\u4ee5\u5b57\u8282\u4e3a\u5355\u4f4d\uff09\uff0c\u7136\u540e\u5c06\u5176\u8f6c\u6362\u4e3a\u5146\u5b57\u8282\uff08MB\uff09\u4ee5\u4fbf\u4e8e\u7406\u89e3\u3002<\/p>\n\n\n\n<p>\u8bf7\u6ce8\u610f\uff0c\u5b9e\u9645\u5b58\u50a8\u9700\u6c42\u53ef\u80fd\u7565\u6709\u4e0d\u540c\uff0c\u53d6\u51b3\u4e8e\u6a21\u578b\u7684\u4fdd\u5b58\u683c\u5f0f\u548c\u662f\u5426\u6709\u5176\u4ed6\u5143\u6570\u636e\u5b58\u50a8\u3002\u6b64\u5916\uff0c\u5bf9\u4e8e\u4f7f\u7528\u91cf\u5316\u6280\u672f\uff08\u5982int8\u6216float16\u5b58\u50a8\u53c2\u6570\u7684\u6a21\u578b\uff09\uff0c\u5b58\u50a8\u9700\u6c42\u53ef\u80fd\u4f1a\u66f4\u5c0f\u3002<\/p>\n\n\n\n<p><strong>\u95ee\uff1a\u4e3a\u5565\u5047\u8bbe\u6bcf\u4e2a\u53c2\u6570\u4e3a32\u4f4d\u6d6e\u70b9\u6570\uff1f<\/strong><\/p>\n\n\n\n<p>\u5728\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u4e2d\uff0c\u53c2\u6570\u901a\u5e38\u4ee5\u6d6e\u70b9\u6570\u5f62\u5f0f\u5b58\u50a8\uff0c\u5176\u4e2d32\u4f4d\u6d6e\u70b9\u6570\uff08\u4e5f\u79f0\u4e3a\u5355\u7cbe\u5ea6\u6d6e\u70b9\u6570\uff0c\u6216<code>float32<\/code>\uff09\u662f\u6700\u5e38\u7528\u7684\u683c\u5f0f\u4e4b\u4e00\u3002\u9009\u62e932\u4f4d\u6d6e\u70b9\u6570\u4f5c\u4e3a\u53c2\u6570\u5b58\u50a8\u7684\u683c\u5f0f\u6709\u51e0\u4e2a\u539f\u56e0\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>\u7cbe\u5ea6\u4e0e\u6027\u80fd\u7684\u5e73\u8861<\/strong>\uff1a32\u4f4d\u6d6e\u70b9\u6570\u63d0\u4f9b\u4e86\u8db3\u591f\u7684\u7cbe\u5ea6\u6765\u8fdb\u884c\u5927\u591a\u6570\u6df1\u5ea6\u5b66\u4e60\u4efb\u52a1\uff0c\u540c\u65f6\u76f8\u8f83\u4e8e\u66f4\u9ad8\u7cbe\u5ea6\u7684\u683c\u5f0f\uff08\u598264\u4f4d\u6d6e\u70b9\u6570\uff0c\u6216<code>float64<\/code>\uff09\uff0c\u5b83\u4eec\u5360\u7528\u7684\u5b58\u50a8\u7a7a\u95f4\u66f4\u5c11\uff0c\u8ba1\u7b97\u901f\u5ea6\u66f4\u5feb\u3002\u8fd9\u662f\u56e0\u4e3a\u66f4\u9ad8\u7cbe\u5ea6\u7684\u6570\u636e\u7c7b\u578b\u4e0d\u4ec5\u589e\u52a0\u4e86\u5185\u5b58\u5360\u7528\uff0c\u8fd8\u53ef\u80fd\u964d\u4f4e\u8ba1\u7b97\u6548\u7387\u3002<\/li>\n\n\n\n<li><strong>\u786c\u4ef6\u652f\u6301<\/strong>\uff1a\u5927\u591a\u6570\u73b0\u4ee3CPU\u548cGPU\u90fd\u5bf932\u4f4d\u6d6e\u70b9\u6570\u8fdb\u884c\u4e86\u4f18\u5316\uff0c\u53ef\u4ee5\u9ad8\u6548\u5730\u8fdb\u884c32\u4f4d\u6d6e\u70b9\u6570\u7684\u8ba1\u7b97\u3002\u8fd9\u5305\u62ec\u4e13\u95e8\u7684\u786c\u4ef6\u6307\u4ee4\u96c6\uff0c\u80fd\u591f\u52a0\u901f\u8fd9\u79cd\u6570\u636e\u7c7b\u578b\u7684\u6570\u5b66\u8fd0\u7b97\u3002<\/li>\n\n\n\n<li><strong>\u5185\u5b58\u548c\u5b58\u50a8\u6548\u7387<\/strong>\uff1a\u4f7f\u752832\u4f4d\u6d6e\u70b9\u6570\u53ef\u4ee5\u6709\u6548\u5730\u51cf\u5c11\u6a21\u578b\u7684\u5185\u5b58\u5360\u7528\u548c\u5b58\u50a8\u9700\u6c42\u3002\u8fd9\u5bf9\u4e8e\u5728\u8d44\u6e90\u53d7\u9650\u7684\u73af\u5883\u4e2d\u8fd0\u884c\u6a21\u578b\uff08\u5982\u79fb\u52a8\u8bbe\u5907\u6216\u5d4c\u5165\u5f0f\u7cfb\u7edf\uff09\u7279\u522b\u91cd\u8981\u3002<\/li>\n\n\n\n<li><strong>\u517c\u5bb9\u6027<\/strong>\uff1a32\u4f4d\u6d6e\u70b9\u6570\u5728\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\u548c\u5e93\u4e2d\u88ab\u5e7f\u6cdb\u652f\u6301\uff0c\u786e\u4fdd\u4e86\u4e0d\u540c\u6a21\u578b\u548c\u5de5\u5177\u4e4b\u95f4\u7684\u517c\u5bb9\u6027\u3002<\/li>\n<\/ol>\n\n\n\n<p>\u5c3d\u7ba132\u4f4d\u6d6e\u70b9\u6570\u5728\u8bb8\u591a\u60c5\u51b5\u4e0b\u662f\u4e00\u4e2a\u5408\u7406\u7684\u9009\u62e9\uff0c\u4f46\u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\uff0c\u5f00\u53d1\u8005\u53ef\u80fd\u4f1a\u9009\u62e9\u4f7f\u7528\u66f4\u4f4e\u7cbe\u5ea6\u7684\u683c\u5f0f\uff08\u598216\u4f4d\u6d6e\u70b9\u6570\uff0c\u6216<code>float16<\/code>\uff09\u6765\u8fdb\u4e00\u6b65\u63d0\u9ad8\u6027\u80fd\u548c\u51cf\u5c11\u5185\u5b58\u5360\u7528\uff0c\u5c24\u5176\u662f\u5728\u90a3\u4e9b\u5bf9\u7cbe\u5ea6\u8981\u6c42\u4e0d\u662f\u975e\u5e38\u9ad8\u7684\u5e94\u7528\u4e2d\u3002\u6b64\u5916\uff0c\u4e00\u4e9b\u6700\u65b0\u7684\u786c\u4ef6\u548c\u8f6f\u4ef6\u6280\u672f\u4e5f\u5f00\u59cb\u652f\u6301\u4f4e\u7cbe\u5ea6\u8ba1\u7b97\uff0c\u4ee5\u63d0\u9ad8\u6df1\u5ea6\u5b66\u4e60\u4efb\u52a1\u7684\u6548\u7387\u3002\u7136\u800c\uff0c\u8fd9\u79cd\u4f4e\u7cbe\u5ea6\u683c\u5f0f\u53ef\u80fd\u4f1a\u5f15\u5165\u66f4\u591a\u7684\u6570\u503c\u8ba1\u7b97\u95ee\u9898\uff0c\u9700\u8981\u4ed4\u7ec6\u7ba1\u7406\u4ee5\u907f\u514d\u7cbe\u5ea6\u635f\u5931\u3002<\/p>\n\n\n\n<p>\u8fd0\u884ctest02.py<\/p>\n\n\n\n<div class=\"wp-block-urvanov-syntax-highlighter-code-block\"><pre class=\"lang:sh decode:true \">python newsrc\/test02.py\nTotal Parameters: 124439808\nModel Size: 474.70 MB<\/pre><\/div>\n\n\n\n<p>124439808,\u5c31\u662f124M\uff0c 474.70 MB \u5c31\u662f\u6a21\u578b\u5b58\u50a8\u7684\u5927\u5c0f<\/p>\n","protected":false},"excerpt":{"rendered":"<p>0. \u524d\u8a00 \u8981\u4e86\u89e3GPT-2\u6a21\u578b\u7684\u7ed3\u6784\uff0c\u53ef\u4ee5\u4ece\u4ee5\u4e0b\u51e0\u4e2a\u65b9\u9762\u5165\u624b\uff1a GPT-2\u4e3b\u8981\u57fa\u4e8eTransformer\u67b6\u6784 [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center 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center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[313,289,443,442,312],"tags":[242,314],"class_list":["post-2338","post","type-post","status-publish","format-standard","hentry","category-chatgpt","category-gpt","category-llm","category-llms","category-openai","tag-chatgpt","tag-openai-api"],"views":2323,"jetpack_sharing_enabled":true,"jetpack_featured_media_url":"","_links":{"self":[{"href":"https:\/\/www.aqwu.net\/wp\/index.php?rest_route=\/wp\/v2\/posts\/2338","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.aqwu.net\/wp\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.aqwu.net\/wp\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.aqwu.net\/wp\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.aqwu.net\/wp\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=2338"}],"version-history":[{"count":28,"href":"https:\/\/www.aqwu.net\/wp\/index.php?rest_route=\/wp\/v2\/posts\/2338\/revisions"}],"predecessor-version":[{"id":2381,"href":"https:\/\/www.aqwu.net\/wp\/index.php?rest_route=\/wp\/v2\/posts\/2338\/revisions\/2381"}],"wp:attachment":[{"href":"https:\/\/www.aqwu.net\/wp\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=2338"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.aqwu.net\/wp\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=2338"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.aqwu.net\/wp\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=2338"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}