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\n", "date_published": "2026-03-05T08:30:49+00:00", "title": "llm \u8bad\u7ec3\u6700 dirty work \u7684\u5c31\u662f\u6570\u636e\u5904\u7406\uff01", "id": "https://www.v2ex.com/t/1196092" }, { "author": { "url": "https://www.v2ex.com/member/clueglue", "name": "clueglue", "avatar": "https://cdn.v2ex.com/avatar/af62/2dfe/773519_large.png?m=1762480664" }, "url": "https://www.v2ex.com/t/1185975", "date_modified": "2026-01-15T09:47:17+00:00", "content_html": "

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\n

\u76f4\u5230\u6211\u53d1\u73b0\u4e86 MIT \u8fd9\u95e8\u8bfe\uff0c\u624d\u53d1\u73b0\u5176\u5b9e\u81ea\u5df1\u65e9\u5c31\u62e5\u6709\u66f4\u4f18\u96c5\u7684\u53bb\u9605\u8bfb\u8fd9\u4e00\u7c7b\u6587\u7ae0\u7684\u80fd\u529b\uff0c\u53ea\u662f\u7f3a\u5c11\u4e00\u4e2a\u6b63\u786e\u7684\u89c6\u89d2

\n

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\u6709\u4e00\u4e2a\u6e05\u5355\u6216\u8005\u4e66\u7c4d\u80fd\u591f\u56ca\u62ec\u8fd9\u4e9b\u6570\u5b66\u5185\u5bb9\u5417\u3002", "date_published": "2025-12-10T09:13:52+00:00", "title": "\u60f3\u8981\u771f\u6b63\u7406\u89e3\u76ee\u524d\u7684\u6df1\u5ea6\u5b66\u4e60(\u4e0d\u4ec5\u662f\u6253\u6742\u7684\u70bc\u4e39\u5e08)\uff0c\u9700\u8981\u600e\u6837\u7684\u6570\u5b66\u57fa\u7840", "id": "https://www.v2ex.com/t/1178092" }, { "author": { "url": "https://www.v2ex.com/member/ns2250225", "name": "ns2250225", "avatar": "https://cdn.v2ex.com/avatar/cbc4/6b75/140914_large.png?m=1759846579" }, "url": "https://www.v2ex.com/t/1177292", "date_modified": "2025-12-07T10:41:49+00:00", "content_html": "

\u6211\u5df2\u7ecf\u95ee\u8fc7 AI \u4e86\uff0c\u5df2\u7ecf\u628a onnx \u6a21\u578b\u8fdb\u884c\u4e86\u526a\u679d\uff0c\u8fdb\u884c\u4e86 int8 \u52a8\u6001\u91cf\u5316\uff0c\u5f00\u542f\u4e86 cpu \u591a\u7ebf\u7a0b\u63a8\u7406\uff0c\u901f\u5ea6\u7531\u539f\u6765\u7684 3s \u4f18\u5316\u5230\u73b0\u5728\u7684 1.3s \uff0c\u611f\u89c9\u5230\u6781\u9650\u4e86\uff0c\u53ef\u662f\u8001\u677f\u7684\u8981\u6c42\u662f 500ms \uff0c\u5927\u4f6c\u5feb\u6551\u6551\u5b69\u5b50

\n", "date_published": "2025-12-06T09:44:23+00:00", "title": "\u600e\u6837\u52a0\u5feb onnx \u6a21\u578b\u5728 cpu \u4e0a\u7684\u63a8\u7406\u901f\u5ea6\u554a", "id": "https://www.v2ex.com/t/1177292" }, { "author": { "url": "https://www.v2ex.com/member/intoext", "name": "intoext", "avatar": "https://cdn.v2ex.com/avatar/16dc/e148/243325_large.png?m=1688862810" }, "url": "https://www.v2ex.com/t/1175862", "title": "AI \u516c\u53f8\u7784\u51c6\u7684\u987a\u5e8f\u662f\u6d4f\u89c8\u5668\u3001\u8f93\u5165\u6cd5\u3001\u64cd\u4f5c\u7cfb\u7edf", "id": "https://www.v2ex.com/t/1175862", "date_published": "2025-11-29T12:02:16+00:00", "content_html": "

\u6d4f\u89c8\u5668\u662f\u4e92\u8054\u7f51\u5165\u53e3\uff0c\u89c2\u5bdf\u6d4f\u89c8\u5668\u7684\u8bbf\u95ee\u884c\u4e3a\u53ef\u6709\u52a9\u4e8e\u4e86\u89e3\u7528\u6237\u3002\n\u7b49\u4e8e\u7ed9 AI \u516c\u53f8\u5582\u6599\uff08\u6216\u8005\u91c7\u96c6\uff09\u3002

\n

\u4ece\u8c46\u5305\u505a\u8f93\u5165\u6cd5\u6765\u770b\uff0c\u672a\u6765\u4f30\u8ba1\u8981\u4f1a\u805a\u7126\u8f93\u5165\u6cd5\u3002\n\u56e0\u4e3a\u8f93\u5165\u6cd5\u6bd4\u6d4f\u89c8\u5668\u8fd8\u80fd\u6355\u6349\u7528\u6237\u6570\u636e\u3002\u5bf9\u4e8e\u4e0d\u4e0a\u7f51\u7684\u6570\u636e\u3001\u884c\u4e3a\u4e5f\u80fd\u91c7\u96c6\u3002

\n

\u518d\u540e\u6765\uff0c\u4f30\u8ba1\u662f\u8981\u7ade\u4e89\u64cd\u4f5c\u7cfb\u7edf\u4e86\u3002\n\u81ea\u7136\uff0c\u56e0\u4e3a\u6709\u751f\u6001\u539f\u56e0\uff0c\u4e0d\u5927\u4f1a\u51fa\u73b0\u9664 linux \u3001windows \u4e4b\u540e\u7684\u5927\u7cfb\u7edf\u3002\n\u4f46\u662f\u6211\u4f30\u8ba1\u4f7f\u7528\u5f00\u6e90 linux \u9b54\u6539\u7684\u7cfb\u7edf\u662f\u5f88\u591a\u7684--AI \u516c\u53f8\u641e\u70b9\u8fd9\u4e2a\uff0c\u6280\u672f\u4e0a\u7b80\u76f4\u6613\u5982\u53cd\u638c\u3002

\n

\u4e0d\u77e5\u9053\u5927\u5bb6\u600e\u4e48\u770b\uff1f

\n" }, { "author": { "url": "https://www.v2ex.com/member/rpish", "name": "rpish", "avatar": "https://cdn.v2ex.com/avatar/713c/b677/317324_large.png?m=1762331329" }, "url": "https://www.v2ex.com/t/1173455", "date_modified": "2025-11-19T01:09:12+00:00", "content_html": "

\u597d\u5947\u9664\u4e86\u5927\u6a21\u578b\uff0c\u56fe\u7247\u751f\u6210\uff0c\u8fd8\u6709\u6ca1\u6709\u4ec0\u4e48\u80fd\u672c\u5730\u8dd1\u7684\uff0c\u597d\u73a9\u7684\u673a\u5668\u5b66\u4e60\u9879\u76ee\uff1f

\n", "date_published": "2025-11-18T03:01:15+00:00", "title": "\u6709\u4ec0\u4e48\u80fd\u672c\u5730\u8dd1\u7684\u673a\u5668\u5b66\u4e60\u9879\u76ee\u5417\uff1f", "id": "https://www.v2ex.com/t/1173455" }, { "author": { "url": "https://www.v2ex.com/member/fortytwo", "name": "fortytwo", "avatar": "https://cdn.v2ex.com/avatar/8981/f3e6/742644_large.png?m=1767587046" }, "url": "https://www.v2ex.com/t/1172404", "date_modified": "2025-11-12T16:45:44+00:00", "content_html": "

\u4f7f\u7528 ddddocr \u81ea\u8bad\u7ec3\u6a21\u578b\u573a\u666f\u4e0b\uff0c\u9047\u5230\u7684\u95ee\u9898

\n
(dddd-trainer) PS C:\\Users\\12460\\Documents\\project\\dddd_trainer> uv run .\\test.py\n2025-11-13 00:35:09.0336981 [E:onnxruntime:, sequential_executor.cc:572 onnxruntime::ExecuteKernel] Non-zero status code returned while running SequenceAt node. Name:'n0_424' Status Message: Invalid sequence index (57) specified for sequence of size (57)\nTraceback (most recent call last):\n  File \"C:\\Users\\12460\\Documents\\project\\dddd_trainer\\test.py\", line 14, in <module>\n    res = ocr.classification(image)\n          ^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"C:\\Users\\12460\\Documents\\project\\dddd_trainer\\.venv\\Lib\\site-packages\\ddddocr\\__init__.py\", line 2643, in classification\n    ort_outs = self.__ort_session.run(None, ort_inputs)\n               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"C:\\Users\\12460\\Documents\\project\\dddd_trainer\\.venv\\Lib\\site-packages\\onnxruntime\\capi\\onnxruntime_inference_collection.py\", line 287, in run\n    return self._sess.run(output_names, input_feed, run_options)\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nonnxruntime.capi.onnxruntime_pybind11_state.InvalidArgument: [ONNXRuntimeError] : 2 : INVALID_ARGUMENT : Non-zero status code returned while running SequenceAt node. Name:'n0_424' Status Message: Invalid sequence index (57) specified for sequence of size (57)\n\n
\n

\u6d4b\u8bd5\u7684\u8bad\u7ec3\u96c6\u6570\u636e\uff1a\nhttps://wwm.lanzoum.com/itczd0b5z3yj

\n

GitHub\uff1a https://github.com/sml2h3/dddd_trainer.git

\n
# test.py\nimport ddddocr\n\nocr = ddddocr.DdddOcr(\n    det=False,\n    ocr=False,\n    show_ad=False,\n    import_onnx_path=r\"C:\\Users\\12460\\Documents\\project\\dddd_trainer\\projects\\test_2\\models\\test_2_1.0_23_6000_2025-11-13-00-06-13.onnx\",\n    charsets_path=r\"C:\\Users\\12460\\Documents\\project\\dddd_trainer\\projects\\test_2\\models\\charsets.json\",\n)\n\nwith open(r\"C:\\Users\\12460\\Downloads\\1112\\new\\PKKQ_1578462523867.jpg\", \"rb\") as f:\n    image = f.read()\n\nres = ocr.classification(image)\nprint(res)\n
\n

\u64cd\u4f5c\u65e5\u5fd7

\n
(dddd-trainer) PS C:\\Users\\12460\\Documents\\project\\dddd_trainer> uv run .\\app.py create   test_3\n2025-11-13 00:29:53.496 | INFO     | __main__:__init__:12 -\nHello baby~\n2025-11-13 00:29:53.497 | INFO     | __main__:create:15 -\nCreate Project ----> test_3\n2025-11-13 00:29:53.497 | INFO     | utils.project_manager:create_project:13 - Creating Directory... ----> C:\\Users\\12460\\Documents\\project\\dddd_trainer\\projects\\test_3\n2025-11-13 00:29:53.497 | INFO     | utils.project_manager:create_project:20 - Creating Directory... ----> C:\\Users\\12460\\Documents\\project\\dddd_trainer\\projects\\test_3\\models\n2025-11-13 00:29:53.498 | INFO     | utils.project_manager:create_project:24 - Creating Directory... ----> C:\\Users\\12460\\Documents\\project\\dddd_trainer\\projects\\test_3\\cache\n2025-11-13 00:29:53.498 | INFO     | utils.project_manager:create_project:28 - Creating Directory... ----> C:\\Users\\12460\\Documents\\project\\dddd_trainer\\projects\\test_3\\checkpoints\n2025-11-13 00:29:53.498 | INFO     | utils.project_manager:create_project:32 - Creating CRNN Config File... ----> C:\\Users\\12460\\Documents\\project\\dddd_trainer\\projects\\test_3\\config.yaml\n2025-11-13 00:29:53.500 | INFO     | utils.project_manager:create_project:36 - Create Project Success! ----> test_3\n(dddd-trainer) PS C:\\Users\\12460\\Documents\\project\\dddd_trainer> uv run .\\app.py cache test_3 C:\\Users\\12460\\Downloads\\1112\\images\n2025-11-13 00:30:10.911 | INFO     | __main__:__init__:12 -\nHello baby~\n2025-11-13 00:30:10.913 | INFO     | __main__:cache:20 -\nCaching Data ----> test_3\nPath ----> C:\\Users\\12460\\Downloads\\1112\\images\n2025-11-13 00:30:10.919 | INFO     | utils.cache_data:__get_label_from_name:36 -\nFiles number is 8599.\n100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 8599/8599 [00:00<00:00, 1379439.31it/s]\n2025-11-13 00:30:10.926 | INFO     | utils.cache_data:__collect_data:92 -\nCoolect labels is [\" \", \"1\", \"D\", \"Q\", \"F\", \"R\", \"P\", \"5\", \"9\", \"6\", \"X\", \"G\", \"H\", \"S\", \"V\", \"Z\", \"3\", \"T\", \"K\", \"J\", \"W\", \"2\", \"8\", \"4\", \"U\", \"Y\", \"E\", \"I\", \"C\", \"B\", \"L\", \"A\", \"7\"]\n2025-11-13 00:30:10.929 | INFO     | utils.cache_data:__collect_data:96 -\nWriting Cache Data!\n2025-11-13 00:30:10.929 | INFO     | utils.cache_data:__collect_data:98 -\nCache Data Number is 8599\n2025-11-13 00:30:10.929 | INFO     | utils.cache_data:__collect_data:99 -\nWriting Train and Val File.\n2025-11-13 00:30:10.931 | INFO     | utils.cache_data:__collect_data:116 -\nTrain Data Number is 8342\n2025-11-13 00:30:10.932 | INFO     | utils.cache_data:__collect_data:117 -\nVal Data Number is 257\n(dddd-trainer) PS C:\\Users\\12460\\Documents\\project\\dddd_trainer> uv run .\\app.py train test_3\n2025-11-13 00:30:26.382 | INFO     | __main__:__init__:12 -\nHello baby~\n2025-11-13 00:30:26.383 | INFO     | __main__:train:26 -\nStart Train ----> test_3\n\n2025-11-13 00:30:26.384 | INFO     | utils.train:__init__:40 -\nTaget:\nmin_Accuracy: 0.97\nmin_Epoch: 20\nmax_Loss: 0.05\n2025-11-13 00:30:26.384 | INFO     | utils.train:__init__:45 -\nUSE GPU ----> 0\n2025-11-13 00:30:26.384 | INFO     | utils.train:__init__:52 -\nSearch for history checkpoints...\n2025-11-13 00:30:26.384 | INFO     | utils.train:__init__:69 -\nEmpty history checkpoints\n2025-11-13 00:30:26.384 | INFO     | utils.train:__init__:71 -\nBuilding Net...\nC:\\Users\\12460\\Documents\\project\\dddd_trainer\\.venv\\Lib\\site-packages\\torch\\nn\\modules\\rnn.py:123: UserWarning: dropout option adds dropout after all but last recurrent layer, so non-zero dropout expects num_layers greater than 1, but got dropout=0.3 and num_layers=1\n  warnings.warn(\n2025-11-13 00:30:26.400 | INFO     | utils.train:__init__:75 - Net(\n  (cnn): DdddOcr(\n    (cnn): Sequential(\n      (conv0): Conv2d(1, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n      (relu0): ReLU(inplace=True)\n      (pooling0): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)\n      (conv1): Conv2d(16, 32, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n      (relu1): ReLU(inplace=True)\n      (pooling1): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)\n      (conv2): Conv2d(32, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n      (batchnorm2): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n      (relu2): ReLU(inplace=True)\n      (conv3): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n      (relu3): ReLU(inplace=True)\n      (pooling2): MaxPool2d(kernel_size=(2, 2), stride=(2, 1), padding=(0, 1), dilation=1, ceil_mode=False)\n      (conv4): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n      (batchnorm4): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n      (relu4): ReLU(inplace=True)\n      (conv5): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n      (relu5): ReLU(inplace=True)\n      (pooling3): MaxPool2d(kernel_size=(2, 2), stride=(2, 1), padding=(0, 1), dilation=1, ceil_mode=False)\n      (conv6): Conv2d(128, 128, kernel_size=(2, 2), stride=(1, 1))\n      (batchnorm6): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n      (relu6): ReLU(inplace=True)\n    )\n  )\n  (lstm): LSTM(384, 384, dropout=0.3, bidirectional=True)\n  (loss): CTCLoss()\n  (fc): Linear(in_features=768, out_features=33, bias=True)\n)\n2025-11-13 00:30:26.400 | INFO     | utils.train:__init__:76 -\nBuilding End\n2025-11-13 00:30:26.509 | INFO     | utils.train:__init__:81 -\nGet Data Loader...\n2025-11-13 00:30:26.510 | INFO     | utils.load_cache:__init__:102 -\nCharsets is [\" \", \"1\", \"D\", \"Q\", \"F\", \"R\", \"P\", \"5\", \"9\", \"6\", \"X\", \"G\", \"H\", \"S\", \"V\", \"Z\", \"3\", \"T\", \"K\", \"J\", \"W\", \"2\", \"8\", \"4\", \"U\", \"Y\", \"E\", \"I\", \"C\", \"B\", \"L\", \"A\", \"7\"]\n2025-11-13 00:30:26.510 | INFO     | utils.load_cache:__init__:106 -\nImage Resize is [-1, 64]\n2025-11-13 00:30:26.510 | INFO     | utils.load_cache:__init__:118 -\nImage Path is C:\\Users\\12460\\Downloads\\1112\\images\n2025-11-13 00:30:26.511 | INFO     | utils.load_cache:__init__:25 -\nReading Cache File... ----> C:\\Users\\12460\\Documents\\project\\dddd_trainer\\projects\\test_3\\cache\\cache.train.tmp\n2025-11-13 00:30:26.512 | INFO     | utils.load_cache:__init__:30 -\nRead Cache File End! Caches Num is 8342.\n2025-11-13 00:30:26.512 | INFO     | utils.load_cache:__init__:25 -\nReading Cache File... ----> C:\\Users\\12460\\Documents\\project\\dddd_trainer\\projects\\test_3\\cache\\cache.val.tmp\n2025-11-13 00:30:26.513 | INFO     | utils.load_cache:__init__:30 -\nRead Cache File End! Caches Num is 257.\n2025-11-13 00:30:26.513 | INFO     | utils.train:__init__:87 -\nGet Data Loader End!\n2025-11-13 00:30:30.161 | INFO     | utils.train:start:108 - [2025-11-13-00_30_30]      Epoch: 0        Step: 100       LastLoss: 3.5620920658111572    AvgLoss: 4.684982450008392      Lr: 0.01\n2025-11-13 00:30:33.520 | INFO     | utils.train:start:108 - [2025-11-13-00_30_33]      Epoch: 0        Step: 200       LastLoss: 3.629438877105713     AvgLoss: 3.591061780452728      Lr: 0.01\n2025-11-13 00:30:36.940 | INFO     | utils.train:start:108 - [2025-11-13-00_30_36]      Epoch: 1        Step: 300       LastLoss: 3.478365659713745     AvgLoss: 3.574828338623047      Lr: 0.01\n2025-11-13 00:30:40.677 | INFO     | utils.train:start:108 - [2025-11-13-00_30_40]      Epoch: 1        Step: 400       LastLoss: 3.725684881210327     AvgLoss: 3.5830772018432615     Lr: 0.01\n2025-11-13 00:30:44.054 | INFO     | utils.train:start:108 - [2025-11-13-00_30_44]      Epoch: 1        Step: 500       LastLoss: 3.6253044605255127    AvgLoss: 3.5884796619415282     Lr: 0.01\n...\n2025-11-13 00:33:39.470 | INFO     | utils.train:start:108 - [2025-11-13-00_33_39]      Epoch: 19       Step: 5200      LastLoss: 0.0010958763305097818 AvgLoss: 0.0016259117133449763  Lr: 0.009604\n2025-11-13 00:33:44.079 | INFO     | utils.train:start:108 - [2025-11-13-00_33_44]      Epoch: 20       Step: 5300      LastLoss: 0.0009493848774582148 AvgLoss: 0.0010536348074674606  Lr: 0.009604\n2025-11-13 00:33:48.775 | INFO     | utils.train:start:108 - [2025-11-13-00_33_48]      Epoch: 20       Step: 5400      LastLoss: 0.0010489150881767273 AvgLoss: 0.0012551895825890823  Lr: 0.009604\n2025-11-13 00:33:53.303 | INFO     | utils.train:start:108 - [2025-11-13-00_33_53]      Epoch: 21       Step: 5500      LastLoss: 0.0011606556363403797 AvgLoss: 0.000944445063942112   Lr: 0.009604\n2025-11-13 00:33:57.803 | INFO     | utils.train:start:108 - [2025-11-13-00_33_57]      Epoch: 21       Step: 5600      LastLoss: 0.0007763305329717696 AvgLoss: 0.0009715505503118038  Lr: 0.009604\n2025-11-13 00:34:02.339 | INFO     | utils.train:start:108 - [2025-11-13-00_34_02]      Epoch: 21       Step: 5700      LastLoss: 0.0012899019056931138 AvgLoss: 0.0015180535794934258  Lr: 0.009604\n2025-11-13 00:34:06.902 | INFO     | utils.train:start:108 - [2025-11-13-00_34_06]      Epoch: 22       Step: 5800      LastLoss: 0.0009287762804888189 AvgLoss: 0.0015425046352902428  Lr: 0.009604\n2025-11-13 00:34:11.336 | INFO     | utils.train:start:108 - [2025-11-13-00_34_11]      Epoch: 22       Step: 5900      LastLoss: 0.0007486791582778096 AvgLoss: 0.0011510271998122334  Lr: 0.009604\n2025-11-13 00:34:15.845 | INFO     | utils.train:start:137 - [2025-11-13-00_34_15]      Epoch: 23       Step: 6000      LastLoss: 0.0006851484067738056 AvgLoss: 0.0009158773045055568  Lr: 0.009604    Acc: 1.0\n2025-11-13 00:34:15.846 | INFO     | utils.train:start:143 -\nTraining Finished!Exporting Model...\nC:\\Users\\12460\\Documents\\project\\dddd_trainer\\nets\\__init__.py:216: UserWarning: # 'dynamic_axes' is not recommended when dynamo=True, and may lead to 'torch._dynamo.exc.UserError: Constraints violated.' Supply the 'dynamic_shapes' argument instead if export is unsuccessful.\n  torch.onnx.export(net, dummy_input, graph_path, export_params=True, verbose=False,\nW1113 00:34:16.515000 3024 .venv\\Lib\\site-packages\\torch\\onnx\\_internal\\exporter\\_compat.py:114] Setting ONNX exporter to use operator set version 18 because the requested opset_version 12 is a lower version than we have implementations for. Automatic version conversion will be performed, which may not be successful at converting to the requested version. If version conversion is unsuccessful, the opset version of the exported model will be kept at 18. Please consider setting opset_version >=18 to leverage latest ONNX features\nThe model version conversion is not supported by the onnxscript version converter and fallback is enabled. The model will be converted using the onnx C API (target version: 12).\nFailed to convert the model to the target version 12 using the ONNX C API. The model was not modified\nTraceback (most recent call last):\n  File \"C:\\Users\\12460\\Documents\\project\\dddd_trainer\\.venv\\Lib\\site-packages\\onnxscript\\version_converter\\__init__.py\", line 127, in call\n    converted_proto = _c_api_utils.call_onnx_api(\n                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"C:\\Users\\12460\\Documents\\project\\dddd_trainer\\.venv\\Lib\\site-packages\\onnxscript\\version_converter\\_c_api_utils.py\", line 65, in call_onnx_api\n    result = func(proto)\n             ^^^^^^^^^^^\n  File \"C:\\Users\\12460\\Documents\\project\\dddd_trainer\\.venv\\Lib\\site-packages\\onnxscript\\version_converter\\__init__.py\", line 122, in _partial_convert_version\n    return onnx.version_converter.convert_version(\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"C:\\Users\\12460\\Documents\\project\\dddd_trainer\\.venv\\Lib\\site-packages\\onnx\\version_converter.py\", line 39, in convert_version\n    converted_model_str = C.convert_version(model_str, target_version)\n                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nRuntimeError: D:\\a\\onnx\\onnx\\onnx/version_converter/BaseConverter.h:68: adapter_lookup: Assertion `false` failed: No Adapter From Version $18 for Split\nSkipping constant folding for op Split with multiple outputs.\nSkipping constant folding for op Split with multiple outputs.\nApplied 3 of general pattern rewrite rules.\nSkipping constant folding for op Split with multiple outputs.\nSkipping constant folding for op Split with multiple outputs.\n2025-11-13 00:34:45.655 | INFO     | utils.train:start:159 -\nExport Finished!Using Time: 3.816666666666667min\n(dddd-trainer) PS C:\\Users\\12460\\Documents\\project\\dddd_trainer> uv run .\\test.py\n2025-11-13 00:35:09.0336981 [E:onnxruntime:, sequential_executor.cc:572 onnxruntime::ExecuteKernel] Non-zero status code returned while running SequenceAt node. Name:'n0_424' Status Message: Invalid sequence index (57) specified for sequence of size (57)\nTraceback (most recent call last):\n  File \"C:\\Users\\12460\\Documents\\project\\dddd_trainer\\test.py\", line 14, in <module>\n    res = ocr.classification(image)\n          ^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"C:\\Users\\12460\\Documents\\project\\dddd_trainer\\.venv\\Lib\\site-packages\\ddddocr\\__init__.py\", line 2643, in classification\n    ort_outs = self.__ort_session.run(None, ort_inputs)\n               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"C:\\Users\\12460\\Documents\\project\\dddd_trainer\\.venv\\Lib\\site-packages\\onnxruntime\\capi\\onnxruntime_inference_collection.py\", line 287, in run\n    return self._sess.run(output_names, input_feed, run_options)\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nonnxruntime.capi.onnxruntime_pybind11_state.InvalidArgument: [ONNXRuntimeError] : 2 : INVALID_ARGUMENT : Non-zero status code returned while running SequenceAt node. Name:'n0_424' Status Message: Invalid sequence index (57) specified for sequence of size (57)\n
\n", "date_published": "2025-11-12T16:45:06+00:00", "title": "\u6c42\u52a9 \u4f7f\u7528 ddddocr \u81ea\u8bad\u7ec3\u6a21\u578b\u573a\u666f\u4e0b\uff0c\u9047\u5230\u4e86 onnxruntime.capi.onnxruntime_pybind11_state.InvalidArgument", "id": "https://www.v2ex.com/t/1172404" }, { "author": { "url": "https://www.v2ex.com/member/huangyezhufeng", "name": "huangyezhufeng", "avatar": "https://cdn.v2ex.com/avatar/c6bf/ce8d/174807_large.png?m=1732972431" }, "url": "https://www.v2ex.com/t/1170130", "date_modified": "2025-11-03T03:18:54+00:00", "content_html": "
\n

https://datahonor.com/blog/2025/11/02/bert/

\n
\n

\u76ee\u5f55\uff1a

\n
\u5173\u4e8e\u6211\u4eec\u505a\u5230\u4e86\u54ea\u4e00\u6b65\nBERT \u7b80\u4ecb\n\u6709\u8da3\u7684\u89c2\u5bdf\n    \u9884\u8bad\u7ec3\u8fc7\u7a0b\u7684\u6709\u8da3\u73b0\u8c61\n    \u6570\u636e\u975e\u5e38\u975e\u5e38\u91cd\u8981\n    \u4ece Finetune \u7ba1\u7aa5\u9884\u8bad\u7ec3\u7684\u5a01\u529b\n\u9519\u8bef\u4e0e\u6559\u8bad\n    \u5373\u4f7f\u5728\u6781\u5c0f\u6570\u636e\u96c6\u4e0a\u4e5f\u65e0\u6cd5\u8fc7\u62df\u5408\n    \u4e00\u6b21\u6027\u9884\u5904\u7406\u5168\u91cf\u6570\u636e\uff0cCPU \u52a0\u73ed\uff0cGPU \u4f11\u5047\n    \u8bd5\u56fe\u7528\u4e34\u65f6\u624b\u6413\u7684\u73a9\u610f\u513f\u8fbe\u5230\u5f88\u597d\u7684\u6027\u80fd\n    workers \u548c prefetch \u56e0\u5b50\u8bbe\u5f97\u8fc7\u5927\u5bfc\u81f4 OOM\n    \u6ca1\u6709\u4f18\u96c5\u5904\u7406 DataLoader worker \u7684\u5f02\u5e38\n    \u8bc4\u4f30\u65f6\u4f7f\u7528\u4e86\u9519\u8bef\u7684 tokenizer\n\u6700\u540e\n
\n", "date_published": "2025-11-03T03:18:33+00:00", "title": "BERT \u8bba\u6587\u590d\u73b0: \u7ecf\u9a8c & \u6559\u8bad", "id": "https://www.v2ex.com/t/1170130" }, { "author": { "url": "https://www.v2ex.com/member/vocaloid", "name": "vocaloid", "avatar": "https://cdn.v2ex.com/avatar/6134/c51f/392716_large.png?m=1733360228" }, "url": "https://www.v2ex.com/t/1168798", "date_modified": "2025-10-28T15:23:27+00:00", "content_html": "

\u611f\u89c9\u57fa\u7840\u8fd8\u662f\u4e0d\u592a\u7262\u9760\uff0c\u4e0d\u77e5\u9053\u5404\u4f4d v \u53cb\u6709\u6ca1\u6709\u76f8\u5173\u7684\u4e66\u7c4d\u53ef\u4ee5\u63a8\u8350

\n", "date_published": "2025-10-28T01:11:14+00:00", "title": "\u6c42\u63a8\u8350\u4e00\u4e9b LLM/\u6df1\u5ea6\u5b66\u4e60\u65b9\u9762\u6253\u57fa\u7840\u7684\u4e66\u7c4d\u6216\u8005\u8bfe\u7a0b", "id": "https://www.v2ex.com/t/1168798" }, { "author": { "url": "https://www.v2ex.com/member/Suinn", "name": "Suinn", "avatar": "https://cdn.v2ex.com/gravatar/8b8b1a9742d73da3199ba27940769499?s=73&d=retro" }, "url": "https://www.v2ex.com/t/1167088", "date_modified": "2025-10-21T00:27:01+00:00", "content_html": "

\u5982\u9898\uff0c\u6709\u4e00\u5927\u6279\u6570\u636e\u96c6\uff0c\u4f46\u662f\u6709\u4e00\u6bb5\u65f6\u95f4\u6ca1\u4e86\u89e3\u56fe\u50cf\u5206\u7c7b\u8fd9\u4e2a\u9886\u57df\u4e86\uff0c\u8fd9\u4e2a\u573a\u666f\u7528\u5927\u6a21\u578b\u611f\u89c9\u4e5f\u4e0d\u662f\u5f88\u9002\u5408\uff0c\u6240\u4ee5\u60f3\u95ee\u95ee\u4e07\u80fd\u7684\u7ad9\u53cb\u4eec

\n", "date_published": "2025-10-20T09:12:46+00:00", "title": "2025 \u5e74\u5e95\uff0c\u5982\u679c\u60f3\u505a\u4e00\u4e2a\u56fe\u50cf\u5206\u7c7b\u6a21\u578b\uff0c\u7528\u4ec0\u4e48\u6a21\u578b\u6765\u5fae\u8c03\u6bd4\u8f83\u597d", "id": "https://www.v2ex.com/t/1167088" }, { "author": { "url": "https://www.v2ex.com/member/kennen", "name": "kennen", "avatar": "https://cdn.v2ex.com/gravatar/95a9d3dbadd4fa58570e4aa369a91813?s=73&d=retro" }, "url": "https://www.v2ex.com/t/1166309", "date_modified": "2025-10-18T04:24:58+00:00", "content_html": "

\u76ee\u6807\u662f\u68c0\u6d4b\u4e00\u5f20\u56fe\u7247\u662f\u5426\u5408\u89c4\uff0c\u5c06\u6765\u8981\u6269\u5c55\u5230\u66f4\u591a\u7269\u4f53\u7684\u68c0\u6d4b\uff08\u6bd4\u5982\u4e00\u8f86\u8f66\u6b63\u5728\u65bd\u5de5\uff0c\u524d\u65b9\u4fa7\u65b9\u90fd\u8981\u653e\u7f6e\u5b89\u5168\u9525\u6876\uff09\uff0c\u76ee\u524d\u91c7\u7528\u7684\u662f yolov8 \uff0c\u6709\u6728\u6709\u522b\u7684\u6280\u672f\u65b9\u6848\u53ef\u4ee5\u8003\u8651\uff1f

\n", "date_published": "2025-10-17T01:49:04+00:00", "title": "\u76ee\u524d\u4f7f\u7528 yolov8 \u8bad\u7ec3\u4e86\u4e00\u4e2a\u76ee\u6807\u68c0\u6d4b\u6a21\u578b\uff0c\u4f46\u662f\u4e0a\u7ebf\u4f7f\u7528\u6548\u679c\u4e0d\u662f\u5f88\u597d\uff0c\u600e\u4e48\u4f18\u5316\uff1f", "id": "https://www.v2ex.com/t/1166309" }, { "author": { "url": "https://www.v2ex.com/member/quech", "name": "quech", "avatar": "https://cdn.v2ex.com/gravatar/0336289e24d797efe2b64a9b8e04232f?s=73&d=retro" }, "url": "https://www.v2ex.com/t/1166079", "title": "\u6700\u8fd1\u770b 1-2 \u4e07\u4e3b\u673a\u53d1\u73b0 3090 \u8fd8\u662f\u80fd\u6253\u7684", "id": "https://www.v2ex.com/t/1166079", "date_published": "2025-10-16T03:38:07+00:00", "content_html": "

\u72d7\u4e1c\u627e\u4e86\u4e00\u4e9b\u4e3b\u673a\u914d\u7f6e\uff0c\u663e\u5361\u96c6\u4e2d\u5728\u4e0b\u9762\u578b\u53f7\uff0cai \u5206\u6790\u5bf9\u6bd4\u4e4b\u540e\u5c45\u7136\u8fd8\u662f\u63a8\u8350 3090\nNvidia RTX4000 Ada 20GB

\n

RTX3090 24G

\n

A5000 24G

\n

2000Ada 16G

\n

RTX4000Ada 20G

\n

RTX5070Ti 16Gb

\n

RTX4000Ada 20G

\n

5080 16G

\n

5060Ti 16G

\n

RTX5060Ti 16G

\n

5070Ti 16G

\n

RTX 5000 24G

\n" }, { "author": { "url": "https://www.v2ex.com/member/EasonIndie", "name": "EasonIndie", "avatar": "https://cdn.v2ex.com/avatar/6243/806b/708439_large.png?m=1764144065" }, "url": "https://www.v2ex.com/t/1164848", "date_modified": "2025-10-14T08:17:58+00:00", "content_html": "

V \u53cb\u4eec\u597d\uff0c\u6700\u8fd1\u60f3\u81ea\u5df1\u505a\u4e00\u4e2a \u4e2d\u6587\u6709\u58f0\u5c0f\u8bf4\u9879\u76ee\uff0c\u5e0c\u671b\u547b\u541f\u81ea\u7136\u6d41\u7545\u3001\u8bed\u6c14\u751f\u52a8\u3001\u6709\u505c\u987f\u3001\u7b11\u58f0\u8fd9\u4e9b\u8868\u8fbe\u3002\n\u76ee\u6807\u662f \u514b\u9686\u81ea\u5b9a\u4e49\u58f0\u97f3\uff08\u6211\u81ea\u5df1\u6216\u4e00\u4e9b\u53d7\u6b22\u8fce\u7684\u914d\u97f3\uff09\uff0c\u7136\u540e\u6279\u91cf\u751f\u6210\u5c0f\u8bf4\u97f3\u9891\u3002

\n
\n

\ud83d\udca1 \u6211\u7684\u9700\u6c42\u5927\u81f4\u662f\uff1a

\n
    \n
  1. \u5148\u514b\u9686/\u5fae\u8c03\u4e00\u4e2a\u4e2d\u6587\u58f0\u97f3\uff0c\u8ba9\u58f0\u97f3\u81ea\u7136\u3001\u4e0d\u673a\u68b0\u3002
    2. \n
  2. \u98ce\u683c\u5e0c\u671b\u50cf\u76f8\u58f0\u90a3\u79cd\u201c\u8bf4\u5b66\u9017\u5531\u201d\u7684\u8bed\u6c14\u2014\u2014\u8981\u80fd\u63a7\u5236\u8282\u594f\u3001\u505c\u987f\u3001\u60c5\u7eea\u3002
    3. \n
  3. \u540e\u671f\u505a\u6709\u58f0\u5c0f\u8bf4\u8f93\u51fa
    4. \n
\n
\n

\ud83d\udda5\ufe0f \u5f53\u524d\u8bbe\u5907\u914d\u7f6e\uff1a

\n\n
\n

\ud83d\udd27 \u521d\u6b65\u6280\u672f\u8def\u7ebf\uff1a

\n

\u6211\u76ee\u524d\u67e5\u4e0b\u6765\u4e3b\u8981\u6709\u4e24\u6761\u601d\u8def\uff1a

\n
    \n
  1. \n

    \u5feb\u901f\u4e0a\u624b\u8def\u7ebf\uff08\u751f\u6210\u7c7b\uff09

    \n\n
    2. \n
  2. \n

    \u9ad8\u53ef\u63a7\u8def\u7ebf\uff08\u8bad\u7ec3\u7c7b\uff09

    \n\n
    3. \n
\n

\u8ba1\u5212\u5728\u672c\u5730\u7528 PyTorch + CUDA \u8bad\u7ec3/\u63a8\u7406\uff0c\u663e\u5b58\u6709\u9650\u7684\u8bdd\u51c6\u5907\u4e0a fp16 + LoRA + \u68af\u5ea6\u7d2f\u79ef \u7b49\u4f18\u5316\u3002

\n
\n

\u2753 \u60f3\u8bf7\u6559 V \u53cb\u4eec\uff1a

\n
    \n
  1. \n

    3060 12GB \u6216 3060Ti 8GB \u80fd\u80dc\u4efb TTS / \u58f0\u97f3\u514b\u9686\u4efb\u52a1\uff1f

    \n\n
    2. \n
  2. \n

    \u5982\u679c\u53ea\u505a\u8f7b\u91cf\u5fae\u8c03\uff08\u4e0d\u4ece\u96f6\u8bad\u7ec3\uff09\uff0c3060Ti \u662f\u5426\u8db3\u591f\uff1f

    \n
    3. \n
  3. \n

    \u6709\u6ca1\u6709\u4eba\u5b9e\u9645\u5728\u672c\u5730\u8dd1\u8fc7 Bark / VITS / Coqui-TTS / HiFi-GAN \u8fd9\u7c7b\u9879\u76ee\uff1f

    \n\n
    4. \n
  4. \n

    \u5bf9\u4e8e\u201c\u76f8\u58f0\u98ce\u683c\u201d\u7684\u8bed\u97f3\uff0c\u6709\u6ca1\u6709\u6210\u719f\u7684\u98ce\u683c\u8fc1\u79fb\u6216 prosody \u63a7\u5236\u65b9\u6cd5\uff1f

    \n
    5. \n
\n
\n

\u2705 \u76ee\u6807\uff1a

\n

\u80fd\u5728\u5bb6\u7528\u673a\u4e0a\u7a33\u5b9a\u751f\u6210\u76f8\u58f0\u98ce\u683c\u7684\u6709\u58f0\u5c0f\u8bf4\u97f3\u9891\uff0c\u81ea\u5df1\u505a\u58f0\u97f3\u6a21\u578b\u548c\u540e\u671f\uff0c\u957f\u671f\u8fed\u4ee3\u3002

\n
\n

\u5927\u5bb6\u6709\u505a\u8fc7\u7c7b\u4f3c\u58f0\u97f3\u514b\u9686 / \u672c\u5730 TTS \u9879\u76ee\u7684\uff0c\u6c42\u5206\u4eab\u7ecf\u9a8c\u548c\u663e\u5361\u9009\u578b\u5efa\u8bae \ud83d\ude4f

\n", "date_published": "2025-10-13T06:49:36+00:00", "title": "\u60f3\u505a\u6709\u58f0\u5c0f\u8bf4\u58f0\u97f3\u514b\u9686\uff0c 3060Ti \u80fd\u625b\u5f97\u4f4f\u5417\uff1f", "id": "https://www.v2ex.com/t/1164848" }, { "author": { "url": "https://www.v2ex.com/member/huangyezhufeng", "name": "huangyezhufeng", "avatar": "https://cdn.v2ex.com/avatar/c6bf/ce8d/174807_large.png?m=1732972431" }, "url": "https://www.v2ex.com/t/1136339", "title": "[AI Glimpse \u79d1\u666e\u7cfb\u5217] KV Cache \u7684\u539f\u7406\u63a8\u5bfc\u4e0e\u4ee3\u7801\u5b9e\u73b0(\u57fa\u4e8e GPT2)", "id": "https://www.v2ex.com/t/1136339", "date_published": "2025-06-04T08:34:06+00:00", "content_html": "\n" }, { "author": { "url": "https://www.v2ex.com/member/fenglirookie", "name": "fenglirookie", "avatar": "https://cdn.v2ex.com/gravatar/1d15b5d761612945f51e15c85e50de07?s=73&d=retro" }, "url": "https://www.v2ex.com/t/1134586", "title": "\u5173\u4e8e OCR \u4ee5\u53ca\u4ee5\u56fe\u627e\u56fe\u8bc6\u522b", "id": "https://www.v2ex.com/t/1134586", "date_published": "2025-05-27T03:22:16+00:00", "content_html": "

\u6211\u73b0\u5728\u4f7f\u7528 com.google.mlkit:text-recognition:16.0.1 \uff0ccom.google.mlkit:text-recognition-chinese:16.0.1 \u8fd9\u4e2a\u5e93\u8fdb\u884c OCR \u63d0\u53d6\uff0c\u5728\u786e\u8ba4\u4f7f\u7528\u8fd9\u4e2a\u5e93\u7684\u60c5\u51b5\u4e0b\u6709\u4ec0\u4e48\u65b9\u6cd5\u53ef\u4ee5\u63d0\u9ad8 OCR \u8bc6\u522b\u7684\u6b63\u786e\u7387\u5462\uff1f opencv \u7684\u56fe\u7247\u5339\u914d\u662f\u5426\u4e5f\u53ef\u4ee5\u540c\u7406\u63d0\u5347\u6b63\u786e\u7387\uff1f

\n" }, { "author": { "url": "https://www.v2ex.com/member/jacketma", "name": "jacketma", "avatar": "https://cdn.v2ex.com/gravatar/a941f83ac4192740c2e1f95676ce23c5?s=73&d=retro" }, "url": "https://www.v2ex.com/t/1132328", "date_modified": "2025-05-16T14:11:42+00:00", "content_html": "

\u8fd9\u4e2a\u6a21\u578b\u751f\u6210\u7684\u89c6\u9891\uff0c\u4eba\u7269\u8868\u60c5\u4e0d\u50f5\u786c\u3001\u76f8\u5f53\u81ea\u7136\uff0c\u54ea\u4e2a\u6a21\u578b\u8c03\u51fa\u8fd9\u6837\u7684\u6548\u679c\uff1f

\n

\"ai.PNG\"

\n

\u539f\u89c6\u9891\uff1a https://www.youtube.com/shorts/ygWC9GH3c0A

\n

\u7528\u4e86\u51e0\u4e2a\u56fd\u4ea7\u6a21\u578b\uff0c\u505a\u4e0d\u51fa\u6765\u8fd9\u4e2a\u6548\u679c

\n", "date_published": "2025-05-16T14:08:25+00:00", "title": "\u8fd9\u7c7b\u578b\u7684\u82f1\u8bed\u5b66\u4e60\u89c6\u9891\uff0c\u662f\u7528\u54ea\u4e2a\u6a21\u578b\u751f\u6210\uff1f", "id": "https://www.v2ex.com/t/1132328" }, { "author": { "url": "https://www.v2ex.com/member/hmxxmh", "name": "hmxxmh", "avatar": "https://cdn.v2ex.com/gravatar/1a62b759fe6c82112bfb8368b2a2922d?s=73&d=retro" }, "url": "https://www.v2ex.com/t/1131503", "date_modified": "2025-05-14T13:48:02+00:00", "content_html": "

\u56fe\u7247\u6709\u8fd9\u4e9b\u7279\u5f81\uff1a\u989c\u8272\u3001\u5f62\u72b6\u3001\u6e05\u6670\u5ea6\u3001\u662f\u5426 ps

\n", "date_published": "2025-05-13T09:44:06+00:00", "title": "\u600e\u4e48\u5b9e\u73b0\u63d0\u53d6\u4fe9\u4e2a\u56fe\u7247\u7684\u4e00\u4e9b\u7279\u5f81\uff0c\u7136\u540e\u8fdb\u884c\u7279\u5f81\u6bd4\u5bf9", "id": "https://www.v2ex.com/t/1131503" }, { "author": { "url": "https://www.v2ex.com/member/momomoi", "name": "momomoi", "avatar": "https://cdn.v2ex.com/avatar/4f35/eb21/534740_large.png?m=1775729709" }, "url": "https://www.v2ex.com/t/1131241", "date_modified": "2025-05-14T13:48:08+00:00", "content_html": "

\u573a\u666f\u662f\uff1a\n\u53ef\u89c1\u5149\u6444\u50cf\u5934\u5b9e\u65f6\u62cd\u6444\u4e00\u7247\u533a\u57df\uff0c\u5f88\u5c0f\u90e8\u5206\u662f\u53cc\u76ee(\u5e26\u70ed\u6210\u50cf)\uff0c\u533a\u57df\u5185\u5b58\u5728\u9519\u7efc\u4ea4\u53c9\u7684\u7ba1\u9053(\u5c31\u662f\u7c97\u6c34\u7ba1)

\n

\u73b0\u5728\u9700\u8981\u68c0\u6d4b\u6f0f\u6c34\uff0c\u6c34\u72b6\u6001\u6709 2 \u79cd\uff1a\u7ba1\u9053\u7834\u88c2\u55b7\u518d\u7a7a\u4e2d \u3001\u5730\u9762\u79ef\u6c34\uff0c\u4e3b\u8981\u5c31\u662f\u8fd9\u79cd\u5f02\u5e38\u56fe\u50cf\u592a\u5c11\uff0c\u4e2a\u4f4d\u6570\u7ea7\u522b

\n

\u7528\u4e86 yolo \u68c0\u6d4b\u6a21\u578b+\u56fe\u50cf\u6574\u4e2a\u753b\u9762\u548c\u57fa\u51c6\u56fe\u7684\u5224\u522b\uff0c\u53d1\u73b0\u6f0f\u5224\u4e25\u91cd\uff0c \u4e3b\u8981\u662f\u6444\u50cf\u5934\u4e0d\u65f6\u5bf9\u7126+\u6709\u7a97\u6237\u3001\u5149\u6591\u4f1a\u6620\u5c04\u5230\u5730\u9762\u4e0a+\u5176\u4ed6\u5f02\u5e38\u60c5\u51b5

\n

\u6709\u6ca1\u6709\u5176\u4ed6\u601d\u8def \u6307\u5bfc\u4e00\u4e0b\u3002

\n", "date_published": "2025-05-12T09:55:52+00:00", "title": "\u68c0\u6d4b\u753b\u9762\u4e2d\u5b58\u5728\u6f0f\u6c34\uff0c\u7ed9\u70b9\u601d\u8def", "id": "https://www.v2ex.com/t/1131241" }, { "author": { "url": "https://www.v2ex.com/member/soleils", "name": "soleils", "avatar": "https://cdn.v2ex.com/gravatar/6b20eecbba98f121270fa56f0886b2f4?s=73&d=retro" }, "url": "https://www.v2ex.com/t/1126818", "title": "\u5b66\u4e60 AI, \u8dd1\u4e0b\u6a21\u578b, \u5e94\u8be5\u7528\u4ec0\u4e48 N \u5361?", "id": "https://www.v2ex.com/t/1126818", "date_published": "2025-04-20T09:38:30+00:00", "content_html": "\u770b\u4e86\u4e0b 5060TI 5070TI 5080 \u90fd\u662f 16G \u663e\u5b58, 4090 \u548c 5090 \u53c8\u592a\u8d35, \u8ba1\u7b97\u901f\u5ea6\u8fd8\u53ef\u4ee5\u5fcd\u53d7\u6162\u4e00\u70b9 , \u8dd1 AI \u5e94\u8be5\u662f\u663e\u5b58\u51b3\u5b9a\u80fd\u4e0d\u80fd\u8dd1\u8d77\u6765\u5427, \u5148\u8dd1\u8d77\u6765\u518d\u8bf4\u7684\u60c5\u51b5\u4e0b, \u4e70\u54ea\u4e2a?" }, { "author": { "url": "https://www.v2ex.com/member/JoeDH", "name": "JoeDH", "avatar": "https://cdn.v2ex.com/gravatar/7b4910417986ae21be51460897b6b841?s=73&d=retro" }, "url": "https://www.v2ex.com/t/1126539", "date_modified": "2025-04-19T08:11:12+00:00", "content_html": "

\u6700\u8fd1\u6709\u4e2a\u9700\u6c42\uff0c\u5c31\u662f\u9700\u8981\u90e8\u7f72\u4e00\u5957\u673a\u5668\u5b66\u4e60\u5e73\u53f0\uff0c\u6ee1\u8db3\u5df2\u6709\u516c\u53f8\u5185\u4e00\u4e9b\u6a21\u578b\u7684\u7ba1\u7406\u5565\u7684\uff08\u4e3b\u8981\u662f\u4f20\u7edf\u7684\u56fe\u50cf\u8bc6\u522b\u6a21\u578b\uff09

\n

\u9700\u8981\u652f\u6301\u670d\u52a1\u5668\u7b97\u529b\u3001\u6a21\u578b\u7248\u672c\u3001\u8bad\u7ec3\u3001\u6d4b\u8bd5\u5206\u6790\u3001\u6570\u636e\u96c6\u7b49\u7b49\u8fd9\u7c7b\u7684\u7ba1\u7406

\n

\u770b\u4e86\u4e00\u4e0b kubeflow \u3001\u817e\u8baf\u7684 cube-studio \uff0c\u611f\u89c9\u5185\u5bb9\u6709\u70b9\u5927\u53c8\u590d\u6742

\n

\u56e0\u4e3a\u6211\u4e0d\u662f\u641e AI \u7684\u6240\u4ee5\u4e0d\u592a\u61c2\uff0c\u6709\u5927\u4f6c\u5728\u7528\u7684\u6216\u662f\u4e86\u89e3\u8fd9\u5757\u7684\u5417\uff1f\u662f\u5426\u8fd8\u6709\u5176\u4ed6\u63a8\u8350\u7684\u4e00\u4e9b\u6613\u4e8e\u4f7f\u7528\u7684\u6846\u67b6\u6216\u5e73\u53f0

\n", "date_published": "2025-04-18T09:42:46+00:00", "title": "\u6709\u6ca1\u6709\u5927\u4f6c\u4e86\u89e3\u673a\u5668\u5b66\u4e60\u7684 mlops \u6846\u67b6\u6216\u8005\u5e73\u53f0", "id": "https://www.v2ex.com/t/1126539" }, { "author": { "url": "https://www.v2ex.com/member/iOTOi", "name": "iOTOi", "avatar": "https://cdn.v2ex.com/gravatar/4bbde4e566952a88a27ad6e4302988eb?s=73&d=retro" }, "url": "https://www.v2ex.com/t/1126159", "date_modified": "2025-04-17T12:50:35+00:00", "content_html": "\u5982\u9898\uff0c\u6211\u8fd9\u6709\u5927\u91cf\u7684\u56fe\u7247\u5185\u5bb9\uff0cPDF \uff0cExcel \uff0c\u4ee5\u53ca PPT \u6587\u4ef6\uff0c\u6211\u770b\u5f88\u591a\u5927\u6a21\u578b\u77e5\u8bc6\u5e93\u9700\u8981\u4e0a\u4f20\u6587\u4ef6\uff0c\u6709\u6ca1\u6709\u65b9\u6cd5\u53ef\u4ee5\u4e0d\u4e0a\u4f20\uff0c\u76f4\u63a5\u8bfb\u53d6\u6587\u4ef6\u7136\u540e\u505a\u6210\u5927\u6a21\u578b\u7684\u77e5\u8bc6\u5e93\uff1f", "date_published": "2025-04-17T05:47:58+00:00", "title": "\u5982\u4f55\u628a\u672c\u5730\u6587\u4ef6\u4f5c\u4e3a\u5927\u6a21\u578b\u7684\u77e5\u8bc6\u5e93", "id": "https://www.v2ex.com/t/1126159" }, { "author": { "url": "https://www.v2ex.com/member/marklu", "name": "marklu", "avatar": "https://cdn.v2ex.com/gravatar/ee20aa547c70ad09e499e02cd773a663?s=73&d=retro" }, "url": "https://www.v2ex.com/t/1126133", "date_modified": "2025-04-17T12:50:33+00:00", "content_html": "\u697c\u4e3b\u662f\u505a\u7ecf\u6d4e\u5b66\u7814\u7a76\u7684\uff0c\u8fd1\u671f\u5de5\u4f5c\u6d89\u53ca\u5230\u5229\u7528 LLM \u8fdb\u884c\u6587\u672c\u5206\u7c7b\u3002\u5728\u67e5\u9605\u6587\u732e\uff08\u4e3b\u8981\u662f\u7ecf\u6d4e\u5b66\u4ea4\u53c9\u5e94\u7528\u7c7b\uff09\u65f6\uff0c\u6211\u89c2\u5bdf\u5230\u4e00\u4e2a\u8d8b\u52bf\uff1a\u4f5c\u8005\u4eec\u503e\u5411\u4e8e\u83b7\u53d6\u7279\u5b9a\u4efb\u52a1\u7684\u6807\u6ce8\u6570\u636e\uff0c\u7136\u540e\u5728 BERT \u3001ERNIE \u7b49\u6a21\u578b\u4e0a\u8fdb\u884c\u5fae\u8c03\uff0c\u4ee5\u5b8c\u6210\u5206\u7c7b\u3002

\u7531\u4e8e\u6211\u7684\u6280\u672f\u80cc\u666f\u6709\u9650\uff0c\u5bf9\u4e8e\u8fd9\u79cd\u65b9\u6cd5\u7684\u9009\u62e9\u53ca\u5176\u66ff\u4ee3\u65b9\u6848\u6709\u4e9b\u7591\u95ee\uff0c\u60f3\u542c\u542c\u5927\u5bb6\u7684\u4e13\u4e1a\u610f\u89c1\uff1a

1.\u5fae\u8c03\u7684\u5b9e\u9645\u53ef\u884c\u6027\uff1a \u7528\u4e13\u95e8\u7684\u5206\u7c7b\u6570\u636e\u53bb\u5fae\u8c03\u4e00\u4e2a\u901a\u7528\u9884\u8bad\u7ec3\u6a21\u578b\uff0c\u4f1a\u4e0d\u4f1a\u635f\u5931\u6a21\u578b\u57fa\u7840\u6027\u80fd\uff0c\u5bfc\u81f4\u5728\u9047\u5230\u4e0e\u5fae\u8c03\u6570\u636e\u4e0d\u592a\u4e00\u6837\u7684\u6587\u672c\u65f6\uff0c\u8868\u73b0\u53cd\u800c\u53d8\u5dee\uff1f
2.\u662f\u5426\u53ef\u4ee5\u76f4\u63a5\u4f7f\u7528 GPT \u7b49\u6a21\u578b\u66ff\u4ee3\uff1a \u73b0\u5728\u6709\u8bb8\u591a\u80fd\u529b\u975e\u5e38\u5f3a\u5927\u7684 LLM \uff0c\u4f3c\u4e4e\u53ef\u4ee5\u901a\u8fc7\u7ed9\u51fa\u6e05\u6670\u7684\u6307\u4ee4\uff08 Prompt \uff09\u5c31\u80fd\u5b8c\u6210\u5f88\u591a\u4efb\u52a1\u3002\u5bf9\u4e8e\u6587\u672c\u5206\u7c7b\u6765\u8bf4\uff0c\u76f4\u63a5\u4f7f\u7528\u8fd9\u7c7b\u5f3a\u6a21\u578b+\u597d Prompt \uff0c\u76f8\u6bd4\u4e8e\u201c\u8bad\u7ec3\u201d\u4e00\u4e2a\u57fa\u7840\u6a21\u578b\uff0c\u662f\u4e0d\u662f\u4e00\u79cd\u66f4\u9ad8\u6548\uff08\u5f00\u53d1\u65f6\u95f4\u77ed\u3001\u53ef\u80fd\u6548\u679c\u8fd8\u597d\uff09\u7684\u9009\u62e9\uff1f\u5728\u8fd9\u79cd\u60c5\u51b5\u4e0b\uff0c\u5e94\u8be5\u5982\u4f55\u9a8c\u8bc1\u5206\u7c7b\u7684\u51c6\u786e\u6027\uff1f
\u6211\u4e3b\u8981\u60f3\u7406\u89e3\u8fd9\u4e24\u79cd\u6280\u672f\u8def\u5f84\u7684\u9002\u7528\u573a\u666f\u3001\u4f18\u7f3a\u70b9\u4ee5\u53ca\u5b9e\u9645\u64cd\u4f5c\u4e2d\u7684\u8003\u91cf\u3002\u4efb\u4f55\u7ecf\u9a8c\u5206\u4eab\u6216\u5efa\u8bae\u90fd\u5c06\u5bf9\u6211\u975e\u5e38\u6709\u5e2e\u52a9\uff01\u8c22\u8c22\u5927\u5bb6\uff01", "date_published": "2025-04-17T04:00:32+00:00", "title": "\u4f7f\u7528\u5927\u8bed\u8a00\u6a21\u578b\u8fdb\u884c\u6587\u672c\u5206\u7c7b\u4efb\u52a1\u9700\u8981\u5fae\u8c03\u5417\uff1f", "id": "https://www.v2ex.com/t/1126133" }, { "author": { "url": "https://www.v2ex.com/member/julyclyde", "name": "julyclyde", "avatar": "https://cdn.v2ex.com/gravatar/4dae02ea3d84a8c34fec215b261bfb5f?s=73&d=retro" }, "url": "https://www.v2ex.com/t/1125074", "date_modified": "2025-04-15T00:35:37+00:00", "content_html": "

\u602a\u4e0d\u5f97\u770b\u8d77\u6765\u90a3\u4e48\u76f8\u4f3c\u5462

\n

https://lima-vm.io/docs/faq/colima/\nColima is a third-party project that wraps Lima to provide an alternative user experience for launching containers.

\n", "date_published": "2025-04-13T04:06:31+00:00", "title": "lima \u548c colima \u5c45\u7136\u662f\u6709\u5173\u7cfb\u7684", "id": "https://www.v2ex.com/t/1125074" }, { "author": { "url": "https://www.v2ex.com/member/lthero", "name": "lthero", "avatar": "https://cdn.v2ex.com/gravatar/77b27233e67963633225abbccf560168?s=73&d=retro" }, "url": "https://www.v2ex.com/t/1124516", "date_modified": "2025-04-11T08:38:23+00:00", "content_html": "

gpt4o \u56fe\u50cf\u751f\u6210\u7684\u7279\u70b9\u662f\uff0c\u751f\u6210\u65f6\u4ece\u4e0a\u5230\u4e0b\u9010\u6e10\u6e05\u6670\u5316\uff08\u5e76\u4e0d\u53ea\u662f\u663e\u793a\u6280\u5de7\uff09

\n

\"s1\"

\n

\u5982\u679c\u4f7f\u7528 diffusion \u8fdb\u884c\u751f\u6210\uff0c\u5b83\u7684\u8fc7\u7a0b\u53ef\u80fd\u662f\u8fd9\u6837\u7684

\n

\"s2\"

\n

\u4f46\u5df2\u77e5\u7684\u662f gpt4o \u56fe\u50cf\u751f\u6210\uff08\u4f3c\u4e4e\uff09\u5df2\u7ecf\u8f6c\u5411 autoregressive(\u81ea\u56de\u5f52\u6a21\u578b)+transformer

\n

\"s3\"

\n

\u76ee\u524d\u5916\u7f51\u4e5f\u5bf9 gpt4o \u7684\u6280\u672f\u8fdb\u884c\u4e86\u731c\u6d4b\uff0c\u4f46\u4e5f\u6ca1\u8ba8\u8bba\u51fa\u4e2a\u7ed3\u679c\u6765\uff08\u5927\u591a\u662f\u8ba4\u540c\u8f6c\u5411\u4e86 ar \u6a21\u578b\uff09

\n

\u81ea\u56de\u5f52\u6a21\u578b\u662f\u8981\u6253\u8d25 diffusion \uff0c\u5e76\u5728\u591a\u6a21\u6001\u9886\u57df\u53c8\u597d\u7528\u8d77\u6765\u4e86\u5417\uff1f

\n

\u53e6\u5916\uff0c\u76ee\u524d\u5f00\u6e90\u754c\u4f3c\u4e4e\u8fd8\u6ca1\u6709\u4ec0\u4e48\u52a8\u9759\uff0c\u56fd\u5185\u7684\u5b57\u8282\u8df3\u52a8\u5728 ar \u7684\u56fe\u50cf\u751f\u6210\u9886\u57df\u63a2\u7d22\u5f97\u8fd8\u633a\u591a\uff08\u53d1\u4e86\u4e0d\u5c11 paper \uff09

\n", "date_published": "2025-04-10T08:30:32+00:00", "title": "gpt4o \u56fe\u50cf\u751f\u6210\u7684\u6280\u672f\u8ba8\u8bba(\u81ea\u56de\u5f52\u6a21\u578b\u53c8\u597d\u8d77\u6765\u4e86?)", "id": "https://www.v2ex.com/t/1124516" }, { "author": { "url": "https://www.v2ex.com/member/huangyezhufeng", "name": "huangyezhufeng", "avatar": "https://cdn.v2ex.com/avatar/c6bf/ce8d/174807_large.png?m=1732972431" }, "url": "https://www.v2ex.com/t/1123968", "date_modified": "2025-04-08T07:04:02+00:00", "content_html": "

TLDR

\n\n

\u5177\u4f53\u5b9e\u73b0

\n

\"\"

\n", "date_published": "2025-04-08T07:00:48+00:00", "title": "[AI Glimpse \u79d1\u666e\u7cfb\u5217] \u4e0d\u5230 100 \u884c Python \u4ee3\u7801\u4ece\u96f6\u5b9e\u73b0 LLM \u7684\u63a8\u6d4b\u91c7\u6837\u7b97\u6cd5", "id": "https://www.v2ex.com/t/1123968" }, { "author": { "url": "https://www.v2ex.com/member/albertxavier001", "name": "albertxavier001", "avatar": "https://cdn.v2ex.com/gravatar/4533978ef5a9324fdc15f47229b69d5e?s=73&d=retro" }, "url": "https://www.v2ex.com/t/1123593", "title": "\u4ec0\u4e48\uff1f\u5520\u5520\u55d1\u5c31\u80fd\u751f\u6210\u6e38\u620f\u5173\u5361! Unreal Engine + MCP \u6765\u4e86\uff01", "id": "https://www.v2ex.com/t/1123593", "date_published": "2025-04-06T23:08:10+00:00", "content_html": "

\"\u8bf7\u6dfb\u52a0\u56fe\u7247\u63cf\u8ff0\"

\n
\n

\u5373\u4f7f\u6ca1\u6709\u7f16\u7a0b\u57fa\u7840\uff0c\u53ea\u8981\u6000\u63e3\u72ec\u7279\u521b\u610f\uff0cMCP+Unreal \u4e5f\u80fd\u52a9\u4f60\u5c06\u60f3\u8c61\u53d8\u4e3a\u89e6\u624b\u53ef\u53ca\u7684\u7cbe\u54c1\u826f\u4f5c

\n
\n

\u60f3\u5fc5\u5173\u6ce8\u6e38\u620f\u5f00\u53d1\u9886\u57df\u7684\u72ec\u7acb\u6e38\u620f\u5f00\u53d1\u8005\u5df2\u7ecf\u6ce8\u610f\u5230\u4e86 blender-mcp \u8fd9\u4e2a\u9879\u76ee \u5b83\u5141\u8bb8 Blender \u8fde\u63a5\u5230 Claude AI \uff0c\u5141\u8bb8 Claude \u76f4\u63a5\u4e0e Blender \u4ea4\u4e92\u548c\u63a7\u5236\uff0c\u4f7f\u5373\u65f6\u8f85\u52a9 3D \u5efa\u6a21\u3001\u573a\u666f\u521b\u5efa\u548c\u64cd\u4f5c\u6210\u4e3a\u53ef\u80fd\u3002

\n

\u73b0\u5728\uff0c\u901a\u8fc7 UnrealMCP \u63d2\u4ef6\u548c Python Editor Script \u63d2\u4ef6\uff0c\u63a7\u5236\u865a\u5e7b\u5f15\u64ce\u5236\u4f5c\u6e38\u620f\u573a\u666f POC \u4e5f\u6210\u4e3a\u4e86\u53ef\u80fd\u3002

\n

\u6548\u679c\u5c55\u793a\ud83e\udd73

\n
\n

\u5520\u5520\u55d1\u5c31\u80fd\u751f\u6210\u6e38\u620f\u5173\u5361\uff0c\u8c01\u80fd\u4e0d\u7231\ud83d\ude18\uff1f

\n
\n

\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"\n\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"

\n

\u767d\u8272\u7684\u5c0f\u4e0d\u70b9\u662f\u5c0f\u72d7\ud83d\udc15\u54e6

\n

\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"

\n

\u4ece\u5730\u9762\u4e0b\u770b\u770b~

\n

\u914d\u7f6e\u6b65\u9aa4\ud83e\udd16

\n

01 \u786e\u4fdd Python Editor Script \u63d2\u4ef6\u5df2\u542f\u7528

\n

\u6253\u5f00 Settings/Plugins

\n

\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"

\n

\u641c\u7d22\u5e76\u52fe\u9009 Python Editor Script Plugin\n\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"

\n
\n

02 \u5b89\u88c5 UnrealMCP \u63d2\u4ef6

\n
\n

UnrealMCP \u662f\u4e00\u4e2a\u975e\u5b98\u65b9\u7684\u865a\u5e7b\u5f15\u64ce\u63d2\u4ef6\uff0c\u65e8\u5728\u901a\u8fc7\u4eba\u5de5\u667a\u80fd\u5de5\u5177\u63a7\u5236\u865a\u5e7b\u5f15\u64ce\u3002\u5b83\u5728\u865a\u5e7b\u5f15\u64ce\u5185\u90e8\u5b9e\u73b0\u4e86\u4e00\u79cd\u673a\u5668\u63a7\u5236\u534f\u8bae (MCP)\uff0c\u5141\u8bb8\u5916\u90e8\u4eba\u5de5\u667a\u80fd\u7cfb\u7edf\u4ee5\u7f16\u7a0b\u65b9\u5f0f\u4e0e\u865a\u5e7b\u73af\u5883\u8fdb\u884c\u4ea4\u4e92\u548c\u64cd\u4f5c

\n
\n

\u5728\u9879\u76ee\u6839\u76ee\u5f55\u4e0b\u521b\u5efa Plugins \u63d2\u4ef6\n\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"

\n

\u5728 Plugin \u76ee\u5f55\u4e0b\u6253\u5f00\u547d\u4ee4\u884c\u5e76\u8fd0\u884c

\n

git clone <https://github.com/kvick-games/UnrealMCP>

\n

\u786e\u4fdd\u5728 Plugins\\UnrealMCP \u76ee\u5f55\u4e0b\u5305\u542b GitHub \u4e0a\u7684\u6587\u4ef6

\n

\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"

\n

\u91cd\u542f\u865a\u5e7b\u5f15\u64ce\u7f16\u8f91\u5668\uff0c\u5728 Settings/Plugins \u4e2d\u641c\u7d22\u5e76\u52fe\u9009 UnrealMCP \u63d2\u4ef6\uff08\u540c\u7b2c\u4e00\u6b65\uff09

\n

03 \u914d\u7f6e UnrealMCP Server

\n

Plugins\\UnrealMCP\\MCP \u4e2d\u8fd0\u884c setup_unreal_mcp.bat \u811a\u672c

\n

04 \u5c06\u9879\u76ee\u8f6c\u6362\u6210 C++\u9879\u76ee

\n
\n

\u8fd9\u4e00\u6b65\u4e3b\u8981\u662f\u4e3a\u4e86\u7f16\u8bd1\u7b2c\u4e8c\u6b65\u4e0b\u8f7d\u7684\u63d2\u4ef6\uff0c\u4e0d\u9700\u8981\u771f\u7684\u53bb\u5199 C++

\n
\n

\u65b0\u5efa\u4e00\u4e2a C++ class \u5373\u53ef\uff0c\u540e\u7eed\u6839\u636e UI \u521b\u5efa\u4e00\u4e2a\u9ed8\u8ba4\u7c7b\u5373\u53ef\n\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"

\n
\u6253\u5f00 Visual Studio
\n

\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"

\n

\u5173\u95ed\u865a\u5e7b\u5f15\u64ce\u7f16\u8f91\u5668\uff0c\u7f16\u8bd1\u9879\u76ee\n\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"

\n

\u91cd\u65b0\u6253\u5f00\u865a\u5e7b\u5f15\u64ce\u7f16\u8f91\u5668\uff0c\u70b9\u51fb\u5de5\u5177\u680f\u6700\u53f3\u4fa7\u7684\u56fe\u6807\u6253\u5f00 MCP Server Control Panel

\n

\u70b9\u51fb Start Server\n\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"

\n

Server Status \u53d8\u6210 Running \u8bf4\u660e Unreal MCP Server \u53ef\u4ee5\u8fd0\u884c\u4e86\n\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"

\n

05 \u5728 Cursor \u4e2d\u6dfb\u52a0 UnrealMCP Server

\n

\u6253\u5f00 Cursor Settings\n\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"

\n

\u70b9\u51fb + Add new global MCP server

\n

\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"

\n

\u5728\u201cmcpServer\u201d\u4e2d\u52a0\u5165\u914d\u7f6e

\n
\"unreal\": {\n    \"command\": \"powershell\",\n    \"args\": [\"<YOUR_GAME_ROOT>/Plugins/UnrealMCP/MCP/run_unreal_mcp.bat\"]\n}\n
\n

\u5728 Cursor Settings \u4e2d\u51fa\u73b0\u4e0b\u56fe\u8bf4\u660e\u6dfb\u52a0\u6210\u529f\n\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"

\n

\u4e4b\u540e\u5c31\u53ef\u4ee5\u6109\u5feb\u7684\u5728 Chat \u4e2d\u6109\u5feb\u7684\u8ba9 AI \u5e2e\u6211\u4eec\u5728\u865a\u5e7b\u5f15\u64ce\u4e2d\u521b\u5efa POC \u573a\u666f\u5566~~~

\n

\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"

\n

\u9879\u76ee\u9650\u5236\ud83e\udd72

\n

\u7531\u4e8e UnrealMCP \u63d2\u4ef6\u9879\u76ee\u8fd8\u5728\u975e\u5e38\u65e9\u671f\u7684\u9636\u6bb5\uff0c\u73b0\u5728\u4ec5\u53ef\u652f\u6301\u6709\u9650\u7684\u57fa\u672c\u64cd\u4f5c\uff1a\u83b7\u53d6\u573a\u666f\u57fa\u672c\u4fe1\u606f\uff0cPython \u811a\u672c\u8fd0\u884c\uff0c\u57fa\u7840\u6750\u8d28\u64cd\u4f5c\u7b49\u3002\u800c\u4e14\u5c31\u7b97\u4f7f\u7528\u4e86\u9876\u5c16\u7684\u5927\u8bed\u8a00\u6a21\u578b\u4e5f\u4e0d\u80fd\u4e00\u6b21\u6027\u751f\u6210\u6b63\u786e\u7684 MCP Server \u8c03\u7528\uff0c\u9700\u8981\u53cd\u590d\u4fee\u6b63\u3002

\n

\u5c55\u671b\u672a\u6765\ud83d\ude0d

\n

\u867d\u7136\u76ee\u524d UnrealMCP \u63d2\u4ef6\u8fd8\u6709\u8bf8\u591a\u9650\u5236\uff0c\u4f46\u662f MCP \u8fd8\u662f\u4e3a\u865a\u5e7b\u5f15\u64ce\u6253\u5f00\u4e86\u4e00\u53e5\u8bdd\u751f\u6210\u6e38\u620f\u7684\u5927\u95e8\uff01

\n

\u8bd5\u60f3\u4e00\u4e0b\uff0c\u672a\u6765 UnrealMCP \u652f\u6301\u4e86\u66f4\u591a\u7684 Unreal \u64cd\u4f5c\uff1a\u52a8\u753b\u3001\u5730\u5f62\u3001AI \u3001PCG \u7b49\u7b49\uff0c\u5e76\u4e14\u80fd\u652f\u6301\u84dd\u56fe\u6216\u7b2c\u4e09\u65b9\u6e38\u620f\u5f00\u53d1\u53ef\u70ed\u66f4\u811a\u672c\uff08\u4f8b\u5982\u817e\u8baf\u7684 PuerTS \uff09\uff0c\u90a3\u4e48\u4e0d\u8bba\u662f\u6e38\u620f\u573a\u666f\u5236\u4f5c\u8fd8\u662f gameplay \u903b\u8f91\u7f16\u5199\uff0c\u90fd\u53ef\u4ee5\u901a\u8fc7\u5728 Cursor/Cluade/Windsurf/VSCode \u7b49\u7f16\u8f91\u5668\u4e2d\u901a\u8fc7\u81ea\u7136\u8bed\u8a00\u63cf\u8ff0\u751f\u6210\u6e38\u620f\u3002

\n

\u8fd9\u4e0d\u4ec5\u80fd\u5c06\u6e38\u620f\u5f00\u53d1\u3001\u539f\u578b\u5236\u4f5c\u7684\u6548\u7387\u5927\u5927\u63d0\u9ad8\uff0c\u66f4\u80fd\u5c06\u6e38\u620f\u5f00\u53d1\u95e8\u69db\u5927\u5927\u964d\u4f4e\uff01

\n

\u4e5f\u8bb8\u5728\u672a\u6765\u67d0\u4e00\u5929\uff0c\u8fd9\u6837\u7684\u573a\u666f\u4f1a\u53d8\u6210\u73b0\u5b9e\uff1a\u501f\u52a9 MCP+\u6e38\u620f\u5f15\u64ce\uff0c\u96f6\u57fa\u7840\u521b\u4f5c\u8005\u4e5f\u80fd\u5c06\u7075\u611f\u8f7b\u677e\u8f6c\u5316\u4e3a\u4e13\u4e1a\u7ea7\u54c1\u8d28\u7684\u6e38\u620f\u4f5c\u54c1\u3002

\n
\u6709\u8da3\u6e38\u620f\u8d44\u8baf\ud83d\udc7e\u5f00\u53d1\u5206\u4eab\ud83d\udda5\ufe0f\u5c3d\u5728\u6e38\u620f\u78b0\u78b0\ud83c\udfae
\n

\u5fae\u4fe1\u53f7\uff1a\u6e38\u620f\u78b0\u78b0\n\u626b\u7801\u5173\u6ce8 \u4e86\u89e3\u66f4\u591a

\n

\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"

\n" }, { "author": { "url": "https://www.v2ex.com/member/happyn", "name": "happyn", "avatar": "https://cdn.v2ex.com/avatar/5e3c/57ae/549037_large.png?m=1699836390" }, "url": "https://www.v2ex.com/t/1121905", "date_modified": "2025-03-31T01:14:45+00:00", "content_html": "\u6211\u7684\u7406\u89e3\u5c31\u662f\u5927\u6a21\u578b\u662f\u4e00\u4e2a Token \u9884\u6d4b\u7684\u7f51\u7edc\uff0c\u901a\u8fc7\u5927\u91cf\u6570\u636e\u7684\u9884\u8bad\u7ec3\uff0c\u4ece\u8f93\u5165\u7684 context \u4e2d\u9884\u6d4b\u4e0b\u4e00\u4e2a\u6700\u6709\u53ef\u80fd\u7684 token \uff1b\u90a3\u6211\u6709\u4e00\u4e2a\u5f88\u5c0f\u767d\u7684\u95ee\u9898\uff0c\u8bf8\u5982\u6570\u5b66\u8fd0\u7b97\uff0c\u6bd4\u5982 673 X 3666 = ? \u8fd9\u79cd\u8fd0\u7b97\uff0c\u5927\u6a21\u578b\u662f\u5982\u4f55\u901a\u8fc7 token \u9884\u6d4b\u5f97\u51fa\u7b54\u6848\u7684\uff1f\u800c\u4e14\u4e4b\u524d\u4e5f\u6709\u4e00\u4e9b\u5f88\u660e\u663e\u7684\u5e94\u7528\uff0c\u6bd4\u5982\u8ba9\u5927\u6a21\u578b\u626e\u6f14\u4e00\u4e2a\u7f16\u8bd1\u5668\u7b49\u7b49\u6267\u884c\u975e\u5e38\u7cbe\u786e\u7684\u8fd0\u7b97\uff0c\u6211\u5b9e\u5728\u60f3\u4e0d\u901a\uff0c\u5982\u679c\u4e0d\u662f\u7531\u4e13\u6709\u7684\u7a0b\u5e8f\uff0c\u4ec5\u4ec5\u4f9d\u9760\u795e\u7ecf\u7f51\u7edc\uff0c\u5c31\u80fd\u6267\u884c\u8fd9\u79cd\u7c7b\u4f3c\u7684\u8fd0\u7b97\u5417\uff1f

\u6211\u8ddf Gemini \u804a\u4e86\u534a\u5929\uff0c\u53d1\u73b0\u4e00\u4e2a\u975e\u5e38\u6709\u610f\u601d\u7684\u4e8b\u60c5\uff0c\u6bd4\u5982\u6211\u95ee\u4ed6 \"\u8bf7\u544a\u8bc9\u6211\u5706\u5468\u7387\u5c0f\u6570\u70b9\u540e x \u4f4d\u7684\u6570\u5b57\"\uff0c\u5f53 10 \u4f4d\uff0c30 \u4f4d\uff0c50 \u4f4d\u7684\u65f6\u5019\uff0c\u90fd\u6ca1\u6709\u95ee\u9898\uff0c\u4f46\u662f\u8d85\u8fc7\u4e00\u5b9a\u91cf\uff0c\u6bd4\u5982 1000 \u4f4d\uff0c\u5b83\u5c31\u4f1a\u5b95\u673a; \u5982\u679c\u7528 deepseek \u7684\u63a8\u7406\u6a21\u5f0f\uff0c\u4ed6\u5c31\u4f1a\u81ea\u5df1\u8ba1\u7b97\uff1b\u6240\u4ee5\u6211\u7684\u7406\u89e3\u662f\uff1a

1. \u5927\u6a21\u578b\u7406\u89e3\u95ee\u9898\uff0c\u662f\u9760\u795e\u7ecf\u7f51\u7edc\u8fdb\u884c token \u9884\u6d4b\u7684
2. \u5927\u6a21\u578b\u89e3\u51b3\u6570\u5b66\u7c7b\u7684\u7cbe\u786e\u95ee\u9898\uff0c\u5fc5\u987b\u662f\u6df7\u5408\u6a21\u578b(MoE)\uff0c\u8c03\u7528\u4e13\u95e8\u5904\u7406\u7cbe\u786e\u8ba1\u7b97\u7684\u90a3\u4e2a\u90e8\u5206\uff0c\u624d\u80fd\u5f97\u51fa\u6b63\u786e\u7b54\u6848\uff1f

\u8fd9\u4e2a\u7406\u89e3\u5bf9\u5417\uff1f", "date_published": "2025-03-29T02:46:08+00:00", "title": "\u5927\u6a21\u578b\u662f\u5982\u4f55\u6267\u884c\u50cf\u6570\u5b66\u8fd0\u7b97\u3001\u7f16\u7a0b\u7b49\u7cbe\u786e\u6027\u8981\u6c42\u6bd4\u8f83\u9ad8\u7684\u4efb\u52a1\u7684\uff1f", "id": "https://www.v2ex.com/t/1121905" }, { "author": { "url": "https://www.v2ex.com/member/ojh", "name": "ojh", "avatar": "https://cdn.v2ex.com/gravatar/b2649469f9eeccba1a86613033307c0f?s=73&d=retro" }, "url": "https://www.v2ex.com/t/1121545", "date_modified": "2025-03-28T01:16:43+00:00", "content_html": "

\u6211\u60f3\u7cfb\u7edf\u5b66\u4e60\u4e00\u4e0b LLM \u7684\u4f7f\u7528\u6bd4\u5982\u53d1\u8d77\u8bf7\u6c42\u3001\u4e00\u4e9b\u57fa\u672c\u6982\u5ff5\u6bd4\u5982\u6e29\u5ea6\u3001\u4e0a\u4e0b\u6587\u7a97\u53e3\u3001MCP \u7b49\uff0c\u4f46\u4e0d\u9700\u8981\u6df1\u5165\u5b66\u4ec0\u4e48\u4eba\u5de5\u667a\u80fd\u65b9\u9762\u4e13\u4e1a\u7684\u77e5\u8bc6\uff0c\u7f51\u53cb\u4eec\u6709\u6ca1\u6709\u4ec0\u4e48\u597d\u7684\u6559\u7a0b\u6216\u8005\u4e66\u63a8\u8350

\n", "date_published": "2025-03-27T08:04:12+00:00", "title": "\u6709\u6ca1\u6709 LLM \u5165\u95e8\u7684\u7cfb\u7edf\u5b66\u4e60\u6559\u7a0b", "id": "https://www.v2ex.com/t/1121545" }, { "author": { "url": "https://www.v2ex.com/member/sugarkeek", "name": "sugarkeek", "avatar": "https://cdn.v2ex.com/avatar/dbe9/73b9/172054_large.png?m=1745726832" }, "url": "https://www.v2ex.com/t/1121113", "title": "mtranserver \u7684\u7ffb\u8bd1\u6548\u679c\u8fd8\u662f\u5dee\u4e00\u70b9", "id": "https://www.v2ex.com/t/1121113", "date_published": "2025-03-26T02:20:50+00:00", "content_html": "\u5de6\u8fb9 google \uff0c\u53f3\u8fb9 mtranserver\uff1a

" }, { "author": { "url": "https://www.v2ex.com/member/9527kf", "name": "9527kf", "avatar": "https://cdn.v2ex.com/gravatar/968b1c0586f01ad2f58e87a08bc87c15?s=73&d=retro" }, "url": "https://www.v2ex.com/t/1118001", "date_modified": "2025-03-13T00:35:51+00:00", "content_html": "\u6211\u6709\u4e00\u4e9b\u8bbe\u8ba1\u56fe\uff0c\u60f3\u7528\u89c6\u89c9\u5927\u6a21\u578b\u5c06\u56fe\u4e2d\u6709\u54ea\u4e9b\u6a21\u5757\uff0c\u5404\u4e2a\u6a21\u5757\u7684\u4f4d\u7f6e\u4fe1\u606f\u7ed9\u6807\u51fa\u6765\uff08\u5de6\u4e0a\u89d2\u4f4d\u7f6e\u548c\u53f3\u4e0b\u89d2\u4f4d\u7f6e\uff09\u3002
\u8bd5\u4e86\u51e0\u4e2a\u6a21\u578b\uff0c\u80fd\u8bc6\u522b\u51fa\u6765\u6709\u51e0\u4e2a\u6a21\u5757\uff0c\u4f46\u4e0d\u80fd\u51c6\u786e\u6807\u51fa\u4f4d\u7f6e\u4fe1\u606f\u3002
\u5927\u5bb6\u6709\u4e86\u89e3\u8fd9\u5757\u7684\u5417", "date_published": "2025-03-13T00:34:22+00:00", "title": "\u6c42\u52a9\uff0c\u6709\u6ca1\u6709\u89c6\u89c9\u5927\u6a21\u578b\u53ef\u4ee5\u8bc6\u522b\u4e00\u4e2a UI \u8bbe\u8ba1\u56fe\u4e2d\u5404\u4e2a\u6a21\u5757\u7684\u5212\u5206", "id": "https://www.v2ex.com/t/1118001" }, { "author": { "url": "https://www.v2ex.com/member/565656", "name": "565656", "avatar": "https://cdn.v2ex.com/gravatar/8bd1911a5b05e20fd1233392ebbcf4dc?s=73&d=retro" }, "url": "https://www.v2ex.com/t/1115294", "date_modified": "2025-03-03T00:36:36+00:00", "content_html": "

\u56fe\u6587\u5927\u6a21\u578b\u5f00\u6e90\u7684\u4e00\u822c\u5c31 3b \uff0c7b \uff0c72b \u3002\u5e94\u8be5\u662f\u67d0\u79cd\u539f\u56e0\u9650\u5236\u4e86\u591a\u6a21\u6001\u6a21\u578b\u7684\u5927\u5c0f\uff1f\u6bd4\u5982\u56fe\u7247\u4e0d\u50cf\u6587\u5b57\u4e00\u6837\u81ea\u56de\u5f52\u9884\u8bad\u7ec3\u5927\u6a21\u578b\uff1f\u5355\u6587\u672c\u7684 600b \u90fd\u6709\uff0c\u8fd9\u662f\u4e0d\u662f\u610f\u5473\u7740 gpt4o \u5176\u5b9e\u6a21\u578b\u5e76\u6ca1\u6709 gpt4 \u5927\uff1f\u90a3\u5bf9\u6bd4\u7684\u65f6\u5019\u8fd9\u4e9b\u591a\u6a21\u6001\u6a21\u578b\u5e94\u8be5\u6253\u4e0d\u8fc7\u5355\u6587\u5b57\u6a21\u578b\u5427\uff1f

\n", "date_published": "2025-03-02T12:31:42+00:00", "title": "\u591a\u6a21\u6001\u5927\u6a21\u578b\u7684\u5927\u5c0f\u8fdc\u4f4e\u4e8e\u5355\u6587\u672c\u6a21\u578b\u554a\u3002", "id": "https://www.v2ex.com/t/1115294" }, { "author": { "url": "https://www.v2ex.com/member/s609926202", "name": "s609926202", "avatar": "https://cdn.v2ex.com/gravatar/f475e9ec3926841965209f62cc90a1d4?s=73&d=retro" }, "url": "https://www.v2ex.com/t/1115191", "date_modified": "2025-03-02T02:08:03+00:00", "content_html": "

\u65b0\u95fb\u94fe\u63a5\uff1a https://mp.weixin.qq.com/s/p3msf_1p4uwTdZFTH8JNdA

Deepseek \u662f\u6587\u672c\u751f\u6210\u7684\uff0c\u4ed6\u662f\u600e\u4e48\u7ed3\u5408\u533b\u5b66\u5f71\u50cf\u627e\u51fa\u7ed3\u8282\u7684\uff1f

\n", "date_published": "2025-03-02T01:39:26+00:00", "title": "\u5229\u7528 deepseek \u5206\u6790\u533b\u5b66\u5f71\u50cf\u627e\u51fa\u7ed3\u8282\u8fd9\u662f\u4ec0\u4e48\u6280\u672f\u539f\u7406\uff1f", "id": "https://www.v2ex.com/t/1115191" }, { "author": { "url": "https://www.v2ex.com/member/huangyezhufeng", "name": "huangyezhufeng", "avatar": "https://cdn.v2ex.com/avatar/c6bf/ce8d/174807_large.png?m=1732972431" }, "url": "https://www.v2ex.com/t/1113214", "title": "\u5927\u8bed\u8a00\u6a21\u578b\u4e0e\u6df1\u5ea6\u5b66\u4e60\u4e66\u7c4d\u63a8\u8350", "id": "https://www.v2ex.com/t/1113214", "date_published": "2025-02-21T05:26:30+00:00", "content_html": "

TLDR

\n

LLM \u76f8\u5173

\n\n

DL \u76f8\u5173

\n\n

\u8be6\u60c5

\n\n" }, { "author": { "url": "https://www.v2ex.com/member/xuchkang171", "name": "xuchkang171", "avatar": "https://cdn.v2ex.com/avatar/aab2/f15c/65377_large.png?m=1712948533" }, "url": "https://www.v2ex.com/t/1112497", "date_modified": "2025-02-20T02:37:20+00:00", "content_html": "", "date_published": "2025-02-19T01:24:13+00:00", "title": "\u4e3a\u4ec0\u4e48 LLM \u4e0d\u64c5\u957f\u6570\u997a\u5b50\uff1f", "id": "https://www.v2ex.com/t/1112497" }, { "author": { "url": "https://www.v2ex.com/member/pinocc012", "name": "pinocc012", "avatar": "https://cdn.v2ex.com/gravatar/b648af74d4390346f34ee7b23dc8651a?s=73&d=retro" }, "url": "https://www.v2ex.com/t/1112229", "title": "\u7a81\u7136\u5192\u51fa\u4e00\u4e2a\u70b9\u5b50\uff0c\u5229\u7528\u73b0\u5728\u70ed\u95e8\u7684 AI \u6765\u505a web \u5916\u6302\u5de5\u5177", "id": "https://www.v2ex.com/t/1112229", "date_published": "2025-02-18T02:46:46+00:00", "content_html": "

\u73b0\u5728\u5f88\u591a\u65e5\u5e38\u5de5\u4f5c\uff0c\u662f\u5728\u5404\u4e2a web \u5e94\u7528\u4e4b\u95f4 copy paste \uff0c\u7406\u8bba\u4e0a\u5e94\u7528\u4e4b\u95f4\u6570\u636e\u6253\u901a\u53ef\u80fd\u5c31\u6ca1\u8fd9\u4e9b\u7834\u4e8b\u4e86\uff0c\u4f46\u662f\u73b0\u5b9e\u4e2d\u8fd8\u662f\u4e0d\u5c11\u9700\u8981\u4eba\u53bb\u5e72\n\u6240\u4ee5\u5982\u679c\u80fd\u8bad\u7ec3 AI \u6765\u5e72\u8fd9\u4e2a\u4e8b\u60c5\u6211\u4eec\u5c31\u80fd\u591f\u66f4\u6109\u5feb\u7684\u6478\u9c7c\n\u8981\u505a\u7684\u5f00\u53d1\u5927\u6982\u662f\u6cb9\u7334\u811a\u672c\u5bf9\u63a5\u5927\u6a21\u578b\uff1f

\n" }, { "author": { "url": "https://www.v2ex.com/member/ixixi", "name": "ixixi", "avatar": "https://cdn.v2ex.com/avatar/6879/5a6d/456967_large.png?m=1768011429" }, "url": "https://www.v2ex.com/t/1110797", "date_modified": "2025-02-13T02:14:26+00:00", "content_html": "

\u76ee\u524d\u6709 macmini m4 \u548c i7-12700 + amd \u7684\u663e\u5361 \u60f3\u4e70\u4e2a n \u5361\u73a9\u73a9 ai

\n

\u6c42\u73a9\u8fc7\u7684\u8001\u54e5\u8bf4\u4e0b\u7ecf\u9a8c

\n", "date_published": "2025-02-11T16:07:05+00:00", "title": "\u8bf7\u95ee\u8bad\u7ec3\u6216\u8005\u8c03\u8bd5 yolo \u7528\u4ec0\u4e48\u914d\u7f6e\u6027\u4ef7\u6bd4\u8f83\u9ad8\u3002", "id": "https://www.v2ex.com/t/1110797" }, { "author": { "url": "https://www.v2ex.com/member/lurui45", "name": "lurui45", "avatar": "https://cdn.v2ex.com/avatar/e858/0876/266961_large.png?m=1741526607" }, "url": "https://www.v2ex.com/t/1107038", "date_modified": "2025-01-23T01:05:38+00:00", "content_html": "

\u5927\u6a21\u578b\u80fd\u8bb0\u4f4f\u5b83\u8bad\u7ec3\u8fc7\u7684\u6570\u636e\u5417\uff1f

\n

\u5982\u679c\u4f60\u8ba9 GPT \u80cc\u8bf5\u7ea2\u697c\u68a6\u5168\u6587\uff0c\u5b83\u4f1a\u56de\u7b54\u5b83\u65e0\u6cd5\u9010\u5b57\u9010\u53e5\u80cc\u8bf5\uff0c\u56e0\u4e3a\u8d85\u8fc7\u5b83\u7684\u751f\u6210\u5bb9\u91cf\u9650\u5236\uff0c\u4f46\u662f\u5982\u679c\u4f60\u9700\u8981\u67d0\u4e00\u90e8\u5206\u7684\u5185\u5bb9\uff08\u6bd4\u5982\u67d0\u4e00\u56de\u7684\u7247\u6bb5\u3001\u67d0\u4e2a\u7ecf\u5178\u573a\u666f\u6216\u5bf9\u8bdd\uff09\uff0c\u5b83\u53ef\u4ee5\u6839\u636e\u4f60\u7684\u9700\u6c42\u751f\u6210\u76f8\u5e94\u7684\u6bb5\u843d\u6216\u7ae0\u8282\u3002

\n

\u6240\u4ee5\u5b83\u7684\u6570\u636e\u5e93\u91cc\u9762\u662f\u771f\u7684\u5f55\u8fdb\u53bb\u5168\u6587\u4e86\u5417\uff1f\u7ea2\u697c\u68a6\u5168\u6587 80 \u4e07\u5b57\uff0c\u5f53\u6211\u4eec\u8bf4\u5230\u67d0\u4e2a\u6a21\u578b\u8981\u591a\u5c11 Billion \u53c2\u6570\u65f6\uff0c\u8fd9 80 \u4e07\u5b57\u80fd\u5426\u7406\u89e3\u4e3a\u5176\u4e2d\u7684\u4e00\u90e8\u5206\u53c2\u6570\uff1f

\n

\u6211\u95ee\u4e86 GPT \uff0c\u5b83\u56de\u7b54\u5b83\u901a\u8fc7\u5b66\u4e60\u8fd9\u4e9b\u6587\u672c\u7684\u89c4\u5f8b\u548c\u6a21\u5f0f\uff0c\u80fd\u591f\u5728\u9700\u8981\u65f6\u751f\u6210\u76f8\u5e94\u7684\u5185\u5bb9\u3002\u603b\u4e4b\u65e0\u6cd5\u7406\u89e3...

\n", "date_published": "2025-01-22T04:19:15+00:00", "title": "\u5927\u6a21\u578b\u80fd\u8bb0\u4f4f\u6240\u6709\u5b83\u8bad\u7ec3\u8fc7\u7684\u6570\u636e\u5417\uff1f", "id": "https://www.v2ex.com/t/1107038" }, { "author": { "url": "https://www.v2ex.com/member/lenqu", "name": "lenqu", "avatar": "https://cdn.v2ex.com/gravatar/44fb46f46fdc8605ec3bf7b22952e752?s=73&d=retro" }, "url": "https://www.v2ex.com/t/1104401", "date_modified": "2025-01-17T13:29:55+00:00", "content_html": "

\u6211\u6700\u8fd1\u95f2\u6765\u65e0\u4e8b\uff0c\u60f3\u7cfb\u7edf\u6027\u7684\u5b66\u4e60\u4e00\u4e0b\u795e\u7ecf\u7f51\u7edc\uff0c\u4e4b\u524d\u770b\u5230\u7684\u90fd\u5f88\u7247\u9762\uff0c\u5e0c\u671b\u6709\u61c2\u7684\u63a8\u8350\u4e00\u4e0b

\n", "date_published": "2025-01-11T13:10:05+00:00", "title": "\u5982\u4f55\u4ece\u5934\u6784\u5efa\u4e00\u4e2a\u81ea\u5df1\u7684\u5927\u6a21\u578b\u5462\uff1f\u4ece\u5e95\u5c42\u6700\u57fa\u7840\u7684\u795e\u7ecf\u7f51\u7edc\u5f00\u59cb\u5b9e\u73b0", "id": "https://www.v2ex.com/t/1104401" }, { "author": { "url": "https://www.v2ex.com/member/huc2", "name": "huc2", "avatar": "https://cdn.v2ex.com/avatar/c8ee/a584/614681_large.png?m=1765604377" }, "url": "https://www.v2ex.com/t/1104386", "date_modified": "2025-01-17T13:28:51+00:00", "content_html": "

\u95ee\u9898\u6765\u81ea\u5728\u770b\u8fd9\u7bc7\u535a\u5ba2\u65f6\u770b\u5230\u7684\u56fe\u7247

\n

\"img1\"

\n

\u8fd9\u5f20\u56fe\u7247\u4e2d\u662f\u9759\u6001 batch \u7684\u793a\u610f\u56fe\uff0c\u4f46\u6211\u7684\u7406\u89e3\u4f3c\u4e4e\u6709\u6240\u504f\u5dee\uff0c\u5e0c\u671b\u6709\u5927\u4f6c\u80fd\u7b54\u7591\u89e3\u60d1\u3002

\n

\u95ee\u9898 1\uff1a\u5bf9\u4e8e\u9759\u6001 batch \u573a\u666f\uff0c\u540c\u4e00\u4e2a batch \u4e2d\u4e0d\u540c\u7684 sample \u7684 prefill \u662f\u540c\u65f6\u5b8c\u6210\u7684\u5417\uff1f

\n

\u6211\u7684\u7406\u89e3\uff1a\n\u5bf9\u4e8e\u4e00\u4e2a\u5355\u72ec\u7684\u77ed prompt \uff0cprefill \u9636\u6bb5\u80af\u5b9a\u662f\u4e00\u4e2a\u6bd4\u5f88\u957f\u7684 prompt \u5feb\u7684\u3002\u4f46\u662f\u5f53\u8fd9 2 \u4e2a\u957f\u5ea6\u4e0d\u540c\u7684 sample \u7ecf\u8fc7 padding \u7136\u540e\u62fc\u6210\u4e86\u4e00\u4e2a\u9759\u6001 batch \u4e4b\u540e\uff0c\u4e5f\u5c31\u662f\u7ef4\u5ea6\u53d8\u6210\u4e86 [batch_size, ..] \uff08\u5f53\u7136\u8fd9\u91cc\u53ef\u80fd\u4e0d\u6b62 2 \u4e2a sample \uff09\u3002\u5728 prefill \u9636\u6bb5\uff0c\u4ed6\u4eec\u80af\u5b9a\u662f\u540c\u65f6\u5f00\u59cb\u7684\uff0c\u56e0\u4e3a transformers \u5185\u90e8\u662f\u5f88\u591a\u7684\u77e9\u9635\u4e58\u6cd5\u3002\u5e76\u4e14\u8981\u7ecf\u8fc7\u5f88\u591a\u5c42\uff0c\u6bd4\u5982\uff1a

\n
emb = layer1(emb)\nemb = layer2(emb)\n...\n
\n

\u4e0a\u9762\u7684 emb \u7684\u7ef4\u5ea6\u5e94\u8be5\u4e5f\u90fd\u4f1a\u662f [batch_size, ....]

\n

\u867d\u7136\u540c\u4e00\u4e2a batch \u4e4b\u95f4\u4e0d\u540c sample \u5355\u72ec\u505a prefill \u9700\u8981\u7684\u65f6\u95f4\u4e0d\u540c\uff0c\u4f46\u662f\u5f53\u4ed6\u4eec\u6210\u4e3a\u4e00\u4e2a batch \u4e4b\u540e\uff0c\u53d8\u6210\u4e86\u4e00\u4e2a\u5927\u77e9\u9635\uff0c\u4ed6\u4eec\u5728\u7ecf\u8fc7\u4e0d\u540c\u7684 layer \u7684\u65f6\u5019\uff0c\u90fd\u662f\u4e00\u8d77\u4e00\u5c42\u4e00\u5c42\u8fc7\u7684\uff0c\u4e5f\u5c31\u76f8\u5f53\u4e8e\u4ed6\u4eec\u540c\u65f6\u5f00\u59cb prefill \u9636\u6bb5\uff0c\u7136\u540e\u540c\u65f6\u5b8c\u6210 layer1, \u540c\u65f6\u5b8c\u6210 layer2, ......\u3002\u6700\u540e\u4e00\u8d77\u5b8c\u6210\u6700\u540e\u4e00\u5c42\uff0c\u83b7\u5f97\u7b2c\u4e00\u4e2a\u9884\u6d4b\u7684 new_tokens \uff08 batch \u4e2d\u6bcf\u4e2a sample \u90fd\u6709\u4e00\u4e2a new_token)\u3002\u6240\u4ee5\uff0c\u5728\u6211\u7684\u7406\u89e3\u4e2d\uff0cprefill \u9636\u6bb5\u5e94\u8be5\u662f\u5de6\u53f3\u5bf9\u9f50\u7684\u3002

\n

\u95ee\u9898 2: \u4ee5\u4e0b\u6211\u5bf9 Continuous Batch \u7684\u7406\u89e3\u662f\u5426\u6b63\u786e\uff1f

\n

\u6211\u7684\u7406\u89e3\uff1a

\n\n

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\n", "date_published": "2025-01-11T11:50:44+00:00", "title": "LLM \u9759\u6001\u6279\u5904\u7406\u548c Continuous Batch \u76f8\u5173\u7591\u95ee\u7684\u6c42\u89e3", "id": "https://www.v2ex.com/t/1104386" }, { "author": { "url": "https://www.v2ex.com/member/YaD2x", "name": "YaD2x", "avatar": "https://cdn.v2ex.com/gravatar/32af3ffe83354a0b5845859c611e2278?s=73&d=retro" }, "url": "https://www.v2ex.com/t/1103390", "date_modified": "2025-01-08T11:15:53+00:00", "content_html": "

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\n", "date_published": "2025-01-08T01:49:06+00:00", "title": "\u6709\u6ca1\u6709\u4e45\u5750\u63d0\u9192\u7c7b\u670d\u52a1\uff0c\u6700\u597d\u662f\u57fa\u4e8e\u5565\u5565\u5565\u6a21\u578b\u7684\u90a3\u79cd\u6d3b\u4f53\u68c0\u6d4b\u3002", "id": "https://www.v2ex.com/t/1103390" }, { "author": { "url": "https://www.v2ex.com/member/CNYoki", "name": "CNYoki", "avatar": "https://cdn.v2ex.com/gravatar/4ffdf90759f1220f203f79d71751a91e?s=73&d=retro" }, "url": "https://www.v2ex.com/t/1102993", "date_modified": "2025-01-07T04:35:44+00:00", "content_html": "\u73b0\u5728\u5927\u6982\u6709\u4e09\u7ec4\u5171 100 \u591a\u4e2a\u6807\u7b7e\uff0c\u7528\u6765\u5bf9\u591a\u6bb5\u6587\u672c\u8fdb\u884c\u5206\u7c7b\uff0c\u662f\u5e94\u8be5\u8bbe\u7f6e\u4e09\u4e2a prompt \u5206\u4e09\u6b21\u8fdb\u884c\u751f\u6210\uff0c\u8fd8\u662f\u7528\u4e00\u4e2a\u957f prompt \uff1f

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\u5c0f\u767d\u60f3\u95ee\u95ee\u73b0\u5728\u7684\u6a21\u578b\u4e00\u822c\u90fd\u662f\u600e\u4e48\u90e8\u7f72\u7684\uff1f\u76f4\u63a5\u7528 python \u7684\u6846\u67b6\u90e8\u7f72\u4e0a\u53bb\u5417\uff1f\u8fd8\u662f\u5bfc\u51fa\u7ed9 c++\u90e8\u7f72\uff1f\u770b\u5230\u597d\u50cf onnx \u90e8\u7f72\u7684\u6587\u7ae0\u597d\u50cf\u5f88\u7a00\u5c11\uff0c\u5927\u4f19\u90fd\u662f\u76f4\u63a5\u7528 python \u90e8\u7f72\u7684\u5417\uff1f

\n" }, { "author": { "url": "https://www.v2ex.com/member/jiashuaibei", "name": "jiashuaibei", "avatar": "https://cdn.v2ex.com/avatar/fc06/6100/624833_large.png?m=1766543554" }, "url": "https://www.v2ex.com/t/1101050", "date_modified": "2024-12-30T00:10:50+00:00", "content_html": "\u6bd5\u4e1a\u8bbe\u8ba1\u7684\u8bfe\u9898\u8bad\u7ec3\u7684\u6a21\u578b\u6570\u636e\u91cf\u4e0d\u90a3\u4e48\u5927\uff0c\u60f3\u5728\u81ea\u5df1\u7535\u8111\u4e0a\u8bad\u7ec3\u3002
\u4e0d\u662f\u5f88\u559c\u6b22\u7269\u7406\u673a\u88c5 Ubuntu \uff0c\u6bd5\u7adf\u8fd8\u9700\u8981\u5199\u8bba\u6587\u4ee5\u53ca\u884c\u4e1a\u8f6f\u4ef6\u53ea\u652f\u6301 Windows \u3002
\u90a3\u4e48\u5728 WSL \u8dd1\u6df1\u5ea6\u5b66\u4e60\u663e\u5361\u76f4\u901a\u635f\u8017\u5927\u6982\u591a\u5c11\uff1f\u53ef\u884c\u5417\uff1f\u6709\u8fc7\u6765\u4eba\u5417\uff1f", "date_published": "2024-12-29T08:09:02+00:00", "title": "\u6df1\u5ea6\u5b66\u4e60\u5728\u81ea\u5df1\u7535\u8111\u4e0a\u8dd1\uff0c Linux \u73af\u5883\uff0c\u9009\u62e9 WSL \u8fd8\u662f\u7269\u7406\u673a Ubuntu\uff1f", "id": "https://www.v2ex.com/t/1101050" }, { "author": { "url": "https://www.v2ex.com/member/jiashuaibei", "name": "jiashuaibei", "avatar": "https://cdn.v2ex.com/avatar/fc06/6100/624833_large.png?m=1766543554" }, "url": "https://www.v2ex.com/t/1100947", "date_modified": "2024-12-30T00:10:21+00:00", "content_html": "", "date_published": "2024-12-28T11:28:50+00:00", "title": "CUDA \u641e\u6df1\u5ea6\u5b66\u4e60\uff0c 1TB \u7684\u4e00\u5757\u786c\u76d8\uff0c C \u76d8\u7559\u591a\u5927\u5408\u9002\uff1f", "id": "https://www.v2ex.com/t/1100947" }, { "author": { "url": "https://www.v2ex.com/member/James369", "name": "James369", "avatar": "https://cdn.v2ex.com/gravatar/8b64ecd4b42da39f0025e467ce8497d6?s=73&d=retro" }, "url": "https://www.v2ex.com/t/1100332", "date_modified": "2024-12-26T23:58:32+00:00", "content_html": "\u5bf9\u4e8e\u7b80\u5355\u7684\u7f51\u7edc\uff08\u7f51\u7edc\u7ed3\u6784\u662f\u56fa\u5b9a\u4e0d\u53d8\u7684\uff0c\u9759\u6001\u7684\uff09\uff0c\u6bd4\u5982\u5168\u8fde\u63a5\u7684\u6211\u53ef\u4ee5\u7406\u89e3\uff0c\u5c31\u662f\u8bad\u7ec3\u4e00\u4e2a\u51fd\u6570\uff1a
y = f(x, \u03b8)
\u8fd9\u91cc\u51fd\u6570 f \u7684\u5b9a\u4e49\u662f\u56fa\u5b9a\u7684\u3002\u90a3\u4e48\uff0c\u53ea\u8981\u8f93\u5165\u4e00\u7ec4 x \u548c y \uff0c\u5c31\u53ef\u4ee5\u8bad\u7ec3\u51fa\u03b8\u3002


\u4f46\u662f\u5bf9\u4e8e RNN \uff0c\u6211\u4e0d\u5927\u7406\u89e3\u7684\u662f\uff1a
1. \u5b83\u7684\u7f51\u7edc\u7ed3\u6784\u662f\u4e0d\u5b9a\u7684\uff0c\u591a\u91cd\u7684\u3002\u5047\u5982\u5faa\u73af\u4e86 n \u6b21\uff0c\u76f8\u5f53\u4e8e\u8981\u8bad\u7ec3 n \u4e2a\u51fd\u6570: f1(x,\u03b8), f2(x,\u03b8),,, fn(x,\u03b8).
2. \u5bf9\u4e8e\u8fd9\u6837\u591a\u91cd\u7684\u7f51\u7edc\u7ed3\u6784\uff0c\u5b83\u662f\u600e\u4e48\u8bad\u7ec3\u6536\u655b\u7684\uff1f
3. \u540e\u9762\u8f93\u5165\u8fdb\u6765\u8bad\u7ec3\u7684 x \uff0c\u662f\u5426\u4f1a\u5bf9\u524d\u9762\u5df2\u7ecf\u8bad\u7ec3\u597d\u7684\u03b8\u4ea7\u751f\u5f71\u54cd\uff08\u7c7b\u4f3c\u707e\u96be\u6027\u9057\u5fd8\uff09", "date_published": "2024-12-25T22:46:01+00:00", "title": "\u600e\u4e48\u7406\u89e3 RNN \u5faa\u73af\u795e\u7ecf\u7f51\u7edc\u5de5\u4f5c\u539f\u7406\uff1f", "id": "https://www.v2ex.com/t/1100332" }, { "author": { "url": "https://www.v2ex.com/member/lisisi", "name": "lisisi", "avatar": "https://cdn.v2ex.com/avatar/235b/4426/245623_large.png?m=1730104552" }, "url": "https://www.v2ex.com/t/1099417", "date_modified": "2024-12-22T09:49:46+00:00", "content_html": "

\u795e\u7ecf\u7f51\u7edc\u6bcf\u4e00\u5c42\u8282\u70b9\u8f93\u51fa\u503c\uff0c\u90fd\u8981\u5957\u4e00\u5c42\u975e\u7ebf\u6027\u6fc0\u6d3b\u51fd\u6570\u3002\u73b0\u5728\u4f7f\u7528\u8f83\u591a\u7684\u6fc0\u6d3b\u51fd\u6570 ReLU \u6fc0\u6d3b\u51fd\u6570\u5728 x \uff1e 0 \u7684\u65f6\u5019\u4e5f\u662f\u7ebf\u6027\u7684\uff0c\u5e76\u4e14\u662f y=x \uff0c\u8fd9\u80fd\u8d77\u5230\u201c\u7ebf\u6027\u201d=>\u201c\u975e\u7ebf\u6027\u201d\u7684\u4f5c\u7528\u5417\uff1f\u4e0d\u592a\u7406\u89e3 ReLU \u662f\u600e\u4e48\u5b9e\u73b0\u6fc0\u6d3b\u4f5c\u7528\u7684

\n", "date_published": "2024-12-22T09:42:32+00:00", "title": "ReLU \u51fd\u6570\u5728 x\uff1e 0 \u7684\u65f6\u5019\u4e5f\u662f\u7ebf\u6027\u7684\uff0c\u5957 ReLU \u51fd\u6570\u662f\u600e\u4e48\u5b9e\u73b0\u6fc0\u6d3b\u4f5c\u7528\u7684\uff1f", "id": "https://www.v2ex.com/t/1099417" }, { "author": { "url": "https://www.v2ex.com/member/cowcomic", "name": "cowcomic", "avatar": "https://cdn.v2ex.com/avatar/4939/ffd8/73524_large.png?m=1727658639" }, "url": "https://www.v2ex.com/t/1093265", "title": "\u963f\u91cc\u65b0\u5f00\u6e90\u7684 QwQ-32B-Preview \u6a21\u578b\u6709\u5565\u7279\u6b8a\u6027\uff1f", "id": "https://www.v2ex.com/t/1093265", "date_published": "2024-11-28T01:13:56+00:00", "content_html": "

\u8bf4\u662f\u6570\u5b66\u548c\u7f16\u7a0b\u9886\u57df\u8868\u73b0\u51fa\u8272\uff0c\u4f46\u4ed6\u4e0d\u662f\u6709\u4e86 coder \u548c math \u4e24\u4e2a\u5355\u72ec\u7684\u6a21\u578b\u4e86\u4e48

\n" } ] }