{"id":66308,"date":"2026-10-28T09:05:53","date_gmt":"2026-10-28T01:05:53","guid":{"rendered":"https:\/\/www.biocloudservice.com\/wordpress\/?p=66308"},"modified":"2026-10-28T09:05:53","modified_gmt":"2026-10-28T01:05:53","slug":"gpn-star-genomic-ai-gpu-resource-planning","status":"publish","type":"post","link":"https:\/\/www.biocloudservice.com\/wordpress\/gpn-star-genomic-ai-gpu-resource-planning\/","title":{"rendered":"Nature \u65b0\u7b97\u6cd5 GPN-Star\uff1a200M \u53c2\u6570\u53ea\u7528 8 \u5f20 A100\uff1f\u771f\u6b63\u7701\u7b97\u529b\u7684\u662f\u5148\u522b\u8bad\u7ec3"},"content":{"rendered":"
\n

2026 \u5e74 9 \u6708\u53d1\u8868\u4e8e Nature \u7684 GPN-Star\uff0c\u628a\u591a\u7269\u79cd\u5168\u57fa\u56e0\u7ec4\u6bd4\u5bf9\u548c\u7cfb\u7edf\u53d1\u80b2\u6811\u76f4\u63a5\u653e\u8fdb\u57fa\u56e0\u7ec4\u8bed\u8a00\u6a21\u578b\uff0c\u7528\u4e8e\u8bc4\u4f30\u7f16\u7801\u4e0e\u975e\u7f16\u7801\u53d8\u5f02\u7684\u529f\u80fd\u7ea6\u675f\u3002\u8bba\u6587\u6700\u5927\u7684\u4e09\u4e2a\u6a21\u578b\u6709 2 \u4ebf\u53c2\u6570<\/strong>\uff0c\u5728 8 \u5f20 NVIDIA A100<\/strong> \u4e0a\u8bad\u7ec3\u6570\u5929\u3002\u76f8\u6bd4\u8bba\u6587\u5217\u51fa\u7684 Nucleotide Transformer\uff08128 \u5f20 A100\u3001\u7ea6\u4e00\u4e2a\u6708\uff09\u548c Evo 2\uff08\u8d85\u8fc7 2000 \u5f20 H100\u3001\u6570\u6708\uff09\uff0c\u8d44\u6e90\u89c4\u6a21\u660e\u663e\u66f4\u5c0f\u3002<\/p>\n

\u4f46\u8fd9\u4e0d\u610f\u5473\u7740\u62ff\u5230\u4e00\u4e2a VCF \u5c31\u8be5\u79df 8 \u5f20\u5361\u91cd\u65b0\u8bad\u7ec3\u3002GPN-Star \u5df2\u53d1\u5e03\u4eba\u7c7b\u548c\u591a\u4e2a\u6a21\u5f0f\u7269\u79cd\u6a21\u578b\uff0c\u8fd8\u63d0\u4f9b\u9884\u8ba1\u7b97\u5206\u6570\u3002\u9879\u76ee\u771f\u6b63\u9700\u8981\u7684\uff0c\u5f80\u5f80\u662f\u5148\u5224\u65ad\u201c\u67e5\u516c\u5f00\u5206\u6570\u3001\u505a\u672c\u5730\u63a8\u7406\uff0c\u8fd8\u662f\u8bad\u7ec3\u65b0\u7269\u79cd\u6a21\u578b\u201d\uff0c\u518d\u914d\u7f6e GPU\u3001\u5185\u5b58\u548c\u5b58\u50a8\u3002<\/p>\n

\"GPN-Star
GPN-Star \u8d44\u6e90\u89c4\u5212\uff1a\u5148\u533a\u5206\u516c\u5f00\u5206\u6570\u3001\u672c\u5730\u63a8\u7406\u4e0e\u5b9a\u5236\u8bad\u7ec3\uff0c\u518d\u914d\u7f6e WGA\u3001GPU\u3001CPU \u548c\u5b58\u50a8\u3002<\/figcaption><\/figure>\n

\u540c\u4e00\u4e2a GPN-Star\uff0c\u7b97\u529b\u5dee\u8ddd\u53ef\u4ee5\u8de8\u4e09\u4e2a\u6863<\/h2>\n

\u5b98\u65b9\u6587\u6863\u7ed9\u51fa\u4eba\u7c7b hg38 \u7684 100 \u7269\u79cd\u810a\u690e\u52a8\u7269\u3001447 \u7269\u79cd\u54fa\u4e73\u52a8\u7269\u548c 243 \u7269\u79cd\u7075\u957f\u7c7b\u6a21\u578b\uff0c\u5747\u4e3a 200M \u53c2\u6570\uff1b\u9f20\u3001\u9e21\u3001\u679c\u8747\u6a21\u578b\u4e3a 85M\uff0c\u7ebf\u866b\u548c\u62df\u5357\u82a5\u4e3a 25M\u3002\u6a21\u578b\u5927\u5c0f\u53ea\u662f\u7b2c\u4e00\u5c42\uff0c\u771f\u6b63\u51b3\u5b9a\u4efb\u52a1\u91cf\u7684\u662f\u662f\u5426\u9700\u8981\u8bfb\u53d6\u6574\u5957\u591a\u7269\u79cd\u6bd4\u5bf9\u3001\u53d8\u5f02\u6570\u91cf\u548c\u662f\u5426\u91cd\u65b0\u8bad\u7ec3\u3002<\/p>\n

\n\n\n\n\n\n\n\n\n
\u4efb\u52a1\u8def\u5f84<\/th>\n\u9700\u8981\u7684\u4e3b\u8981\u8d44\u6e90<\/th>\n\u9002\u5408\u573a\u666f<\/th>\n\u5173\u952e\u8fb9\u754c<\/th>\n<\/tr>\n<\/thead>\n
\u67e5\u8be2\u9884\u8ba1\u7b97\u5206\u6570<\/td>\nCPU\u3001\u7f51\u7edc\u548c Parquet \u8bfb\u53d6<\/td>\nhg38 \u5e38\u89c1 SNV \u5df2\u5728\u516c\u5f00\u5206\u6570\u4e2d<\/td>\n\u5fc5\u987b\u5339\u914d\u7ec4\u88c5\u7248\u672c\u3001\u67d3\u8272\u4f53\u547d\u540d\u3001ref\/alt<\/td>\n<\/tr>\n
\u672c\u5730 VEP \u63a8\u7406<\/td>\nGPU\u3001\u5339\u914d\u6a21\u578b\u7684 WGA\u3001\u6279\u91cf\u8f93\u51fa\u76d8<\/td>\n\u65b0\u53d8\u5f02\u96c6\u3001\u9700\u539f\u59cb logits \u6216 embedding<\/td>\n\u8f93\u51fa\u9ed8\u8ba4\u662f\u672a\u6821\u51c6 LLR\uff0c\u6821\u51c6\u53e6\u505a<\/td>\n<\/tr>\n
\u591a GPU \u5168\u91cf\u63a8\u7406<\/td>\n\u591a\u5361\u8282\u70b9\u3001\u8db3\u591f CPU worker \u4e0e\u9ad8\u901f\u76d8<\/td>\n\u6570\u767e\u4e07\u53d8\u5f02\u3001\u5168\u57fa\u56e0\u7ec4\u7a97\u53e3<\/td>\nbatch \u4e0e worker \u90fd\u662f\u201c\u6bcf\u8fdb\u7a0b\u201d\u53c2\u6570<\/td>\n<\/tr>\n
\u4ece\u5934\u8bad\u7ec3<\/td>\n\u8bba\u6587\u6700\u5927\u6a21\u578b\u7528 8\u00d7A100 \u6570\u5929<\/td>\n\u65b0\u7269\u79cd\u3001\u65b0 WGA \u6216\u7814\u7a76\u6a21\u578b\u672c\u8eab<\/td>\n\u8fd8\u9700\u51c6\u5907\u6bd4\u5bf9\u3001\u6811\u3001\u8bad\u7ec3\u96c6\u548c\u9a8c\u8bc1\u96c6<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n

\u201c\u5148\u522b\u8bad\u7ec3\u201d\u4e0d\u662f\u4fdd\u5b88\uff0c\u800c\u662f\u628a\u7b97\u529b\u82b1\u5728\u7814\u7a76\u95ee\u9898\u4e0a\u3002\u5982\u679c\u53ea\u662f\u4e3a hg38 \u53d8\u5f02\u8865\u5145\u529f\u80fd\u7ea6\u675f\u5206\u6570\uff0c\u5b98\u65b9\u9884\u8ba1\u7b97\u8868\u53ef\u4ee5\u6309\u67d3\u8272\u4f53\u8fdc\u7a0b\u7b5b\u9009\uff0c\u53ea\u8bfb\u53d6\u9700\u8981\u7684 Parquet row group\uff0c\u4e0d\u4e0b\u8f7d\u6a21\u578b\uff0c\u4e5f\u4e0d\u52a0\u8f7d\u5168\u57fa\u56e0\u7ec4\u6bd4\u5bf9\u3002<\/p>\n

scores = (\r\n    pl.scan_parquet("hf:\/\/datasets\/songlab\/gpn-star-scores\/data\/"\r\n                    "gpn-star-hg38-m447-200m\/llr\/llr_chr22.parquet")\r\n      .filter(pl.col("pos").is_in(positions))\r\n      .collect(engine="streaming")\r\n)\r\n<\/code><\/pre>\n
\u516c\u5f00\u793a\u4f8b\u7528 chrom\u3001pos\u3001ref\u3001alt<\/code> \u56db\u5217\u8fde\u63a5\u5206\u6570\uff1bpos<\/code> \u662f\u4e00\u57fa\u5750\u6807\u3002\u5bf9\u5c11\u91cf\u5df2\u8986\u76d6\u53d8\u5f02\uff0c\u8fd9\u6761\u8def\u5f84\u901a\u5e38\u6bd4\u642d\u5efa GPU \u73af\u5883\u66f4\u5feb\uff0c\u4e5f\u66f4\u5bb9\u6613\u590d\u73b0\u3002<\/p>\n
\u8fdc\u7a0b\u67e5\u5206\u4ecd\u8981\u505a\u5de5\u7a0b\u63a7\u5236\u3002\u5e94\u56fa\u5b9a\u5206\u6570\u96c6\u4e0e\u6570\u636e\u96c6 revision\uff0c\u6309\u67d3\u8272\u4f53\u5206\u6279\u67e5\u8be2\uff0c\u5e76\u68c0\u67e5 join \u540e\u7f3a\u5931\u503c\u6570\u91cf\uff1b\u7f3a\u5931\u4e0d\u7b49\u4e8e\u201c\u6a21\u578b\u5224\u65ad\u4e3a\u4e2d\u6027\u201d\uff0c\u53ef\u80fd\u662f\u5750\u6807\u3001\u7ec4\u88c5\u6216\u7b49\u4f4d\u57fa\u56e0\u65b9\u5411\u4e0d\u4e00\u81f4\u3002\u7ed3\u679c\u4ea4\u4ed8\u65f6\u81f3\u5c11\u4fdd\u7559\u539f\u59cb\u56db\u5217\u952e\u3001\u5206\u6570\u96c6\u540d\u79f0\u3001\u6821\u51c6\u5b57\u6bb5\u3001\u67e5\u8be2\u65e5\u671f\u548c\u811a\u672c\u3002<\/p>\n
\u9884\u8ba1\u7b97\u5206\u6570\u4e5f\u4e0d\u662f\u6240\u6709\u4efb\u52a1\u7684\u7b54\u6848\u3002\u82e5\u9700\u8981\u65b0\u7ec4\u88c5\u3001\u7ed3\u6784\u53d8\u5f02\u3001\u975e SNV\u3001\u7279\u5b9a\u7a97\u53e3 embedding\uff0c\u6216\u8005\u60f3\u83b7\u5f97 checkpoint \u7684\u539f\u59cb\u8f93\u51fa\uff0c\u5c31\u8981\u8fdb\u5165\u672c\u5730\u63a8\u7406\u6216\u5176\u4ed6\u65b9\u6cd5\u3002\u5148\u7528\u8f93\u5165\u7c7b\u578b\u6392\u9664\u4e0d\u9002\u7528\u8def\u5f84\uff0c\u6bd4\u76f4\u63a5\u95ee\u201c\u9700\u8981\u51e0\u5f20 GPU\u201d\u66f4\u91cd\u8981\u3002<\/p>\n
\u672c\u5730\u63a8\u7406\u7684\u9690\u85cf\u6210\u672c\u662f WGA\uff0c\u4e0d\u53ea\u662f\u6a21\u578b<\/h2>\n
GPN-Star \u63a8\u7406\u5fc5\u987b\u4f7f\u7528\u4e0e checkpoint \u5339\u914d\u7684\u5168\u57fa\u56e0\u7ec4\u591a\u5e8f\u5217\u6bd4\u5bf9\uff0c\u76ee\u6807\u7ec4\u88c5\u3001\u7269\u79cd\u96c6\u5408\u3001\u7269\u79cd\u987a\u5e8f\u548c\u8fdb\u5316\u5c3a\u5ea6\u90fd\u4e0d\u80fd\u968f\u610f\u66ff\u6362\u3002\u5b98\u65b9\u516c\u5f00\u7684 V100 alignment \u538b\u7f29\u5305\u7ea6 42 GB<\/strong>\uff0c\u89e3\u538b\u540e\u7684 Zarr \u8fd8\u9700\u8981\u989d\u5916\u7a7a\u95f4\uff1bCLI \u4e0d\u4f1a\u81ea\u52a8\u4e0b\u8f7d\u8fd9\u5957\u5927\u578b\u6570\u636e\u3002<\/p>\n
\u78c1\u76d8\u89c4\u5212\u4e0d\u80fd\u53ea\u7559 42 GB\u3002\u4e0b\u8f7d\u538b\u7f29\u5305\u3001\u89e3\u538b\u540e\u7684 Zarr\u3001Hugging Face \u6a21\u578b\u7f13\u5b58\u3001\u8f93\u5165 Parquet\u3001\u6279\u6b21 checkpoint \u548c\u6700\u7ec8\u8f93\u51fa\u53ef\u80fd\u540c\u65f6\u5b58\u5728\u3002\u66f4\u7a33\u7684\u505a\u6cd5\u662f\u5728\u9ad8\u901f\u76d8\u4e0a\u5206\u522b\u5efa\u7acb\u53ea\u8bfb WGA\u3001\u6a21\u578b\u7f13\u5b58\u548c\u4efb\u52a1\u5de5\u4f5c\u76ee\u5f55\uff0c\u4e0b\u8f7d\u540e\u6821\u9a8c\u5b98\u65b9 SHA-256\uff0c\u518d\u901a\u8fc7\u56fa\u5b9a\u8def\u5f84\u6216\u53ea\u8bfb\u8f6f\u94fe\u63a5\u4f9b\u591a\u4e2a\u4efb\u52a1\u590d\u7528\u3002\u8fd9\u6837\u65e2\u907f\u514d\u591a\u4eba\u91cd\u590d\u4e0b\u8f7d\uff0c\u4e5f\u51cf\u5c11\u8bef\u5220\u516c\u5171\u6bd4\u5bf9\u5e93\u7684\u98ce\u9669\u3002<\/p>\n
\u67d3\u8272\u4f53\u540d\u79f0\u4e5f\u5fc5\u987b\u5339\u914d\u3002\u6587\u6863\u793a\u4f8b\u4e2d\u7684\u5b58\u50a8\u4f7f\u7528 6<\/code>\uff0c\u5982\u679c\u8f93\u5165\u5199\u6210 chr6<\/code>\uff0c\u4e0d\u80fd\u9759\u9ed8\u5220\u524d\u7f00\u7ee7\u7eed\u8dd1\u3002\u53c2\u8003\u7b49\u4f4d\u57fa\u56e0\u5fc5\u987b\u4e0e\u672c\u5730 genome \u6216 MSA \u5bf9\u5e94\u4f4d\u7f6e\u4e00\u81f4\uff0c\u5426\u5219\u63a8\u7406\u4f1a\u505c\u6b62\u3002\u5f88\u591a\u201c\u6a21\u578b\u62a5\u9519\u201d\u5b9e\u9645\u662f\u7ec4\u88c5\u7248\u672c\u3001\u5750\u6807\u6216\u6570\u636e\u76ee\u5f55\u5951\u7ea6\u4e0d\u4e00\u81f4\u3002<\/p>\n
\u51c6\u5907\u5b8c\u6210\u540e\uff0c\u53ef\u7528\u7ef4\u62a4\u4e2d\u7684 CLI \u6279\u91cf\u6253\u5206\uff1a<\/p>\n
gpn star vep \\\r\n  --input-path variants.parquet \\\r\n  --msa-path \/data\/multiz100way \\\r\n  --window-size 512 \\\r\n  --model-path songlab\/gpn-star-hg38-v100-200m \\\r\n  --output-path scores.parquet \\\r\n  --per-device-eval-batch-size 64 \\\r\n  --bf16-full-eval\r\n<\/code><\/pre>\n
VEP \u8f93\u5165\u4ec5\u652f\u6301\u53cc\u7b49\u4f4d SNV\uff0cwindow-size<\/code> \u8981\u4e3a\u5076\u6570\u3002\u663e\u5b58\u4e0d\u591f\u65f6\uff0c\u5e94\u5148\u964d\u4f4e\u6bcf\u5361 batch\uff1b\u4e0d\u8981\u540c\u65f6\u6539\u7a97\u53e3\u3001\u6a21\u578b\u548c\u7cbe\u5ea6\uff0c\u5426\u5219\u5f88\u96be\u5224\u65ad\u662f\u8d44\u6e90\u95ee\u9898\u8fd8\u662f\u7ed3\u679c\u5b9a\u4e49\u53d8\u5316\u3002\u6b63\u5f0f\u4efb\u52a1\u524d\u7528\u51e0\u5341\u5230\u51e0\u767e\u4e2a\u53d8\u5f02\u505a smoke test\uff0c\u6838\u5bf9\u884c\u6570\u3001\u5750\u6807\u3001\u7b49\u4f4d\u57fa\u56e0\u548c\u5206\u6570\u65b9\u5411\u3002<\/p>\n
\u591a\u5361\u80fd\u63d0\u901f\uff0c\u4e5f\u6700\u5bb9\u6613\u628a CPU \u548c\u78c1\u76d8\u62d6\u57ae<\/h2>\n
\u5b98\u65b9\u652f\u6301\u901a\u8fc7 torchrun<\/code> \u505a\u591a GPU \u63a8\u7406\u3002\u9700\u8981\u7279\u522b\u6ce8\u610f\uff0cper-device-eval-batch-size<\/code> \u662f\u6bcf\u4e2a\u8fdb\u7a0b\u7684 batch\uff0c4 \u5361\u65f6\u540d\u4e49\u5168\u5c40 batch \u662f\u5355\u5361\u8bbe\u7f6e\u7684 4 \u500d\uff1bdataloader-num-workers<\/code> \u540c\u6837\u6309\u8fdb\u7a0b\u8ba1\u7b97\uff0c4 \u4e2a rank \u5404\u8bbe 4 \u4e2a worker\uff0c\u4f1a\u4ea7\u751f 16 \u4e2a DataLoader worker\uff0c\u518d\u52a0 4 \u4e2a rank \u8fdb\u7a0b\u3002<\/p>\n
\u56e0\u6b64\uff0cGPU \u6570\u91cf\u3001CPU \u6838\u3001\u5185\u5b58\u3001Zarr \u968f\u673a\u8bfb\u53d6\u548c\u8f93\u51fa Parquet \u8981\u540c\u65f6\u538b\u6d4b\u3002GPU \u5229\u7528\u7387\u4f4e\u800c CPU iowait \u9ad8\u65f6\uff0c\u7ee7\u7eed\u52a0\u5361\u901a\u5e38\u6ca1\u6709\u610f\u4e49\uff1b\u5148\u628a WGA \u653e\u5230\u672c\u5730 NVMe\u3001\u589e\u52a0\u5408\u7406 worker\uff0c\u518d\u770b\u541e\u5410\u3002\u957f\u4efb\u52a1\u5e94\u542f\u7528\u6279\u6b21 checkpoint\uff0c\u5b98\u65b9\u5b9e\u73b0\u652f\u6301\u4e0e\u8fdb\u7a0b\u6570\u91cf\u65e0\u5173\u7684\u53ef\u6062\u590d\u6279\u6b21\uff0c\u907f\u514d\u67d0\u4e2a\u5206\u7247\u5931\u8d25\u540e\u4ece\u96f6\u5f00\u59cb\u3002<\/p>\n
\u8d44\u6e90\u6d4b\u8bd5\u5efa\u8bae\u5206\u4e09\u8f6e\uff1a\u5148\u7528\u5355\u5361\u548c\u5c0f batch \u9a8c\u8bc1\u6b63\u786e\u6027\uff0c\u518d\u9010\u6b65\u589e\u5927 batch \u627e\u5230\u663e\u5b58\u5cf0\u503c\uff0c\u6700\u540e\u589e\u52a0 GPU \u6570\u5e76\u89c2\u5bdf\u541e\u5410\u662f\u5426\u8fd1\u4f3c\u589e\u957f\u3002\u6bcf\u8f6e\u8bb0\u5f55\u663e\u5b58\u3001\u4e3b\u5185\u5b58\u3001GPU \u5229\u7528\u7387\u3001\u8bfb\u53d6\u5e26\u5bbd\u548c\u6bcf\u5343\u4e2a\u53d8\u5f02\u8017\u65f6\u3002\u82e5\u56db\u5361\u53ea\u6bd4\u5355\u5361\u5feb\u4e00\u500d\uff0c\u901a\u5e38\u5e94\u5148\u67e5 CPU worker\u3001\u5171\u4eab\u76d8\u548c\u6570\u636e\u9884\u5904\u7406\uff0c\u800c\u4e0d\u662f\u7ee7\u7eed\u6269\u5230\u516b\u5361\u3002torchrun<\/code> \u4f1a\u5728\u591a\u8fdb\u7a0b\u65f6\u628a\u672a\u8bbe\u7f6e\u7684 OMP_NUM_THREADS<\/code> \u9ed8\u8ba4\u4e3a 1\uff0c\u4ee5\u907f\u514d CPU \u8fc7\u5ea6\u8ba2\u9605\uff1b\u9664\u975e profiling \u8bc1\u660e CPU \u8ba1\u7b97\u53d7\u9650\uff0c\u4e0d\u8981\u76f2\u76ee\u63d0\u9ad8\u3002<\/p>\n
\u8bad\u7ec3\u66f4\u9700\u8981\u533a\u5206\u201c\u590d\u73b0\u8bba\u6587\u201d\u548c\u201c\u89e3\u51b3\u9879\u76ee\u201d\u3002\u8bba\u6587\u7684 8\u00d7A100 \u6570\u5929\u5bf9\u5e94\u6700\u5927 200M \u6a21\u578b\uff0c\u4e0d\u80fd\u76f4\u63a5\u5f53\u4f5c\u6240\u6709\u7269\u79cd\u7684\u56fa\u5b9a\u5de5\u671f\u3002\u65b0\u7269\u79cd\u8fd8\u8981\u6784\u5efa\u53ef\u9760 WGA\u3001\u7cfb\u7edf\u53d1\u80b2\u6811\u3001\u8bad\u7ec3\/\u9a8c\u8bc1\u5212\u5206\u548c\u4e0b\u6e38\u57fa\u51c6\uff1b\u5982\u679c\u6bd4\u5bf9\u8d28\u91cf\u4e0d\u8db3\uff0c\u589e\u52a0 GPU \u5e76\u4e0d\u4f1a\u4fee\u590d\u8f93\u5165\u4fe1\u606f\u3002<\/p>\n
\u5c0f\u578b\u6a21\u5f0f\u7269\u79cd checkpoint \u53ea\u6709 25M \u6216 85M \u53c2\u6570\uff0c\u4e5f\u4e0d\u4ee3\u8868\u8bad\u7ec3\u6210\u672c\u53ea\u6309\u53c2\u6570\u91cf\u7ebf\u6027\u4e0b\u964d\u3002\u7269\u79cd\u6570\u3001\u7a97\u53e3\u957f\u5ea6\u3001\u6709\u6548\u6bd4\u5bf9\u6bd4\u4f8b\u3001\u6837\u672c\u751f\u6210\u548c\u9a8c\u8bc1\u9891\u7387\u90fd\u4f1a\u5f71\u54cd\u541e\u5410\u3002\u7acb\u9879\u524d\u5e94\u5148\u7528\u5b98\u65b9\u8bad\u7ec3 recipe \u8dd1 smoke test\uff0c\u518d\u6309\u771f\u5b9e\u6570\u636e\u6d4b\u5f97\u7684 step time\u3001\u663e\u5b58\u548c checkpoint \u4f53\u79ef\u4f30\u7b97\u5168\u7a0b\uff0c\u800c\u4e0d\u662f\u76f4\u63a5\u5957\u8bba\u6587\u5929\u6570\u3002<\/p>\n
\u5206\u6570\u662f\u4f18\u5148\u7ea7\u8bc1\u636e\uff0c\u4e0d\u662f\u81f4\u75c5\u7ed3\u8bba<\/h2>\n
CLI \u8f93\u51fa\u7684\u662f\u6b63\u53cd\u94fe\u5e73\u5747\u7684\u539f\u59cb alternate-minus-reference log-likelihood ratio\uff0c\u8d1f\u503c\u8868\u793a\u66ff\u4ee3\u7b49\u4f4d\u57fa\u56e0\u5728\u6a21\u578b\u4e0b\u66f4\u4e0d\u53ef\u80fd\uff1b\u8bba\u6587\u4f7f\u7528\u7684\u7a81\u53d8\u7387\u6821\u51c6\u662f\u72ec\u7acb\u4e0b\u6e38\u6b65\u9aa4\u3002\u4e0d\u80fd\u628a\u539f\u59cb LLR \u4e0e\u6821\u51c6\u5206\u6570\u6df7\u5728\u540c\u4e00\u9608\u503c\u91cc\uff0c\u4e5f\u4e0d\u80fd\u53ea\u770b\u7edd\u5bf9\u503c\u5c31\u5ba3\u5e03\u53d8\u5f02\u81f4\u75c5\u3002<\/p>\n
GPN-Star \u5b66\u5230\u7684\u662f\u8fdb\u5316\u7ea6\u675f\u3002\u5019\u9009\u89e3\u91ca\u4ecd\u8981\u7ed3\u5408\u4eba\u7fa4\u9891\u7387\u3001\u529f\u80fd\u6ce8\u91ca\u3001\u7ec4\u7ec7\u80cc\u666f\u3001\u9057\u4f20\u6a21\u5f0f\u548c\u5b9e\u9a8c\u6216\u4e34\u5e8a\u8bc1\u636e\u3002\u5bf9\u65b0\u7269\u79cd\uff0c\u81f3\u5c11\u8981\u7528\u5df2\u77e5\u81f4\u75c5\u3001\u81f4\u6b7b\u6216\u9891\u7387\u5206\u5c42\u53d8\u5f02\u505a\u5916\u90e8\u9a8c\u8bc1\uff0c\u518d\u51b3\u5b9a\u662f\u5426\u7528\u4e8e\u5927\u89c4\u6a21\u5019\u9009\u6392\u5e8f\u3002<\/p>\n
\u5982\u679c\u4f60\u7684\u4efb\u52a1\u5361\u5728\u9884\u8ba1\u7b97\u5206\u6570\u80fd\u5426\u8986\u76d6\u3001\u672c\u5730 WGA \u76ee\u5f55\u3001\u5355\u5361\/\u591a\u5361 batch\u300142 GB \u538b\u7f29\u6bd4\u5bf9\u7684\u5b58\u50a8\uff0c\u6216\u662f\u5426\u503c\u5f97\u8bad\u7ec3\u65b0\u7269\u79cd\u6a21\u578b\uff0c\u53ef\u4ee5\u51c6\u5907\u53c2\u8003\u7ec4\u88c5\u3001\u7269\u79cd\u3001\u53d8\u5f02\u6570\u91cf\u3001\u76ee\u6807\u8f93\u51fa\u3001\u73b0\u6709 GPU \u4e0e\u671f\u671b\u65f6\u95f4\u3002\u4e91\u751f\u4fe1\u53ef\u5148\u5224\u65ad\u9002\u5408\u76f4\u63a5\u67e5\u5206\u3001\u90e8\u7f72\u63a8\u7406\u73af\u5883\u8fd8\u662f\u5b9a\u5236\u8bad\u7ec3\uff0c\u518d\u786e\u8ba4\u79df\u7528\u73af\u5883\u81ea\u884c\u8fd0\u884c\u3001\u90e8\u7f72\u4ea4\u63a5\u6216\u59d4\u6258\u5206\u6790\u7684\u8303\u56f4\u3002<\/p>\n
\u8054\u7cfb\u4e91\u751f\u4fe1\uff0c\u54a8\u8be2 GPN-Star \u57fa\u56e0\u7ec4 AI \u7b97\u529b\u4e0e\u5206\u6790\u65b9\u6848<\/a><\/p>\n
\u53c2\u8003\u8d44\u6599<\/h2>\n