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Anurag1734/cuda-error-resolution-analysis

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1[2  {3    "post_stream": {4      "posts": [5        {6          "id": 411350,7          "name": "Javier Alonso",8          "username": "Javier_Alonso",9          "avatar_template": "/user_avatar/discuss.pytorch.org/javier_alonso/{size}/62606_2.png",10          "created_at": "2023-07-25T14:52:54.686Z",11          "cooked": "<p>Hi everyone, I’m new in this community and relative new in IA.</p>\n<p>I downloaded the llama-2-7b-chat from meta and I want to run this in Java.</p>\n<p>First I tried to load the module with:</p>\n<pre><code class=\"lang-auto\">Module mod = Module.load(\"llama-2-7b-chat/consolidated.00.pth\", extraFiles, Device.CPU);\n</code></pre>\n<p>but I have theese errors:</p>\n<pre><code class=\"lang-auto\">Exception in thread \"main\" com.facebook.jni.CppException: PytorchStreamReader failed locating file constants.pkl: file not found\nException raised from valid at C:\\actions-runner\\_work\\pytorch\\pytorch\\builder\\windows\\pytorch\\caffe2\\serialize\\inline_container.cc:184 (most recent call first):\n</code></pre>\n<p>I read that is a problem with the model’s format and I should convert it into a pt (TorchScript model).</p>\n<p>I’ve tried with a lot of code, and in my last attemp I wrote this:</p>\n<pre><code class=\"lang-auto\">import torch\nfrom transformers import LlamaPreTrainedModel\n\n#print(torch.__version__)\n\n# Carga tu modelo entrenado en PyTorch\n#model = torch.jit.load('consolidated.00.pth', map_location=torch.device('cpu'))\nmodel = LlamaPreTrainedModel.from_pretrained(pretrained_model_name_or_path='consolidated.00.pth',\n            config='params.json',)\n\nprint(type(model))\n\n# Convierte el modcelo a TorchScript\nscripted_model = torch.jit.script(model)\n\nprint(type(scripted_model))\n\n# Guarda el modelo en formato TorchScript\n#torch.save(scripted_model, 'llama_chat.pt')\n</code></pre>\n<p>I can see only the lines of the error but not the exception, my terminal only displays:<br>\nStopIteration</p>\n<p>Somebody managed to convert this model to torchscript?</p>\n<p>Thanks for read!</p>",12          "post_number": 1,13          "post_type": 1,14          "posts_count": 3,15          "updated_at": "2023-07-25T15:24:10.121Z",16          "reply_count": 0,17          "reply_to_post_number": null,18          "quote_count": 0,19          "incoming_link_count": 4042,20          "reads": 21,21          "readers_count": 20,22          "score": 20114.2,23          "yours": false,24          "topic_id": 185015,25          "topic_slug": "convert-pth-to-pt",26          "display_username": "Javier Alonso",27          "primary_group_name": null,28          "flair_name": null,29          "flair_url": null,30          "flair_bg_color": null,31          "flair_color": null,32          "flair_group_id": null,33          "badges_granted": [],34          "version": 3,35          "can_edit": false,36          "can_delete": 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"/user_avatar/discuss.pytorch.org/githinjihans/{size}/65538_2.png",67          "created_at": "2023-11-17T22:29:12.852Z",68          "cooked": "<p>did you find a solution for this?</p>",69          "post_number": 2,70          "post_type": 1,71          "posts_count": 3,72          "updated_at": "2023-11-17T22:29:12.852Z",73          "reply_count": 1,74          "reply_to_post_number": null,75          "quote_count": 0,76          "incoming_link_count": 3,77          "reads": 9,78          "readers_count": 8,79          "score": 21.8,80          "yours": false,81          "topic_id": 185015,82          "topic_slug": "convert-pth-to-pt",83          "display_username": "Hanson Mwangi",84          "primary_group_name": null,85          "flair_name": null,86          "flair_url": null,87          "flair_bg_color": null,88          "flair_color": null,89          "flair_group_id": null,90          "badges_granted": [],91          "version": 1,92          "can_edit": false,93          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"/user_avatar/discuss.pytorch.org/aishamohamed2022/{size}/65556_2.png",579          "created_at": "2023-11-18T15:03:17.770Z",580          "cooked": "<p>i implement Algorithm merge sort by c++<br>\nbut it not sorted Array input</p>\n<p><span class=\"hashtag-raw\">#include</span><br>\nusing namespace std;<br>\nvoid MERGE(int* A, int p, int q, int r) {<br>\nint n1 = q - p + 1;<br>\nint n2 = r - q;<br>\nint* L = new int[n1];<br>\nint * R=new int[n2];<br>\nfor (int i = 0; i &lt; n1 + 1; i++) {<br>\nL[i] = A[p + i - 1];<br>\n}<br>\nfor (int j = 0; j &lt; n2 + 1; j++) {<br>\nR[j] = A[p + j];<br>\n}<br>\nint l = 0, t = 0;<br>\nfor (int k = p; k &lt; r + 1; k++) {<br>\nif (L[l] &lt;= R[t]) {<br>\nA[k] = L[l];<br>\nl++;<br>\n}<br>\nelse if (A[k] == R[t])<br>\nt++;<br>\n}<br>\n}<br>\nvoid Merge_sort(int* A, int start, int end) {<br>\nif (start &lt; end) {<br>\nint q = (start + end) / 2;<br>\nMerge_sort(A, start, q);<br>\nMerge_sort(A, q + 1, end);<br>\nMERGE(A, start, q, end);<br>\n}<br>\n}</p>\n<p>int main() {<br>\nint A<span class=\"chcklst-box fa fa-square-o fa-fw\"></span> = { 9,6,3,7,8,1,4,2,8,7 };<br>\nint a = 0, o = 5, e = 10;<br>\ncout &lt;&lt; “Array sort” &lt;&lt; endl;</p>\n<pre><code>Merge_sort(A,0,10);\n</code></pre>\n<p>for (int s = 0; s &lt; e; s++) {<br>\ncout &lt;&lt; A[s] &lt;&lt; \" \";<br>\n}<br>\n}</p>\n<p>that is out put of code<br>\n-858993460 -858993460 -858993460 -858993460 3 1 1 1 1 7</p>",581          "post_number": 1,582          "post_type": 1,583          "posts_count": 2,584          "updated_at": "2023-11-18T15:05:51.491Z",585          "reply_count": 0,586          "reply_to_post_number": null,587          "quote_count": 0,588          "incoming_link_count": 8,589          "reads": 13,590          "readers_count": 12,591          "score": 42.6,592          "yours": false,593          "topic_id": 192115,594          "topic_slug": "can-anyone-correct-this-code-c",595          "display_username": "Aisha Mohamed2022",596     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href=\"https://pytorch.org/blog/introducing-torchmultimodal/\" rel=\"noopener nofollow ugc\">TorchMultiModal</a>.</p>\n<p>If you’re wanting to combine an image and text for example, you can process these separately, and eventually join the two tensors (image and text) together using something like <code>torch.cat()</code>. We can’t help you too much further without more information.</p>",1101          "post_number": 2,1102          "post_type": 1,1103          "posts_count": 3,1104          "updated_at": "2023-11-17T19:10:20.034Z",1105          "reply_count": 1,1106          "reply_to_post_number": null,1107          "quote_count": 0,1108          "incoming_link_count": 2,1109          "reads": 7,1110          "readers_count": 6,1111          "score": 31.4,1112          "yours": false,1113          "topic_id": 191917,1114          "topic_slug": "how-to-build-a-multi-modals-models-in-pytorch",1115          "display_username": "James Callinicos",1116          "primary_group_name": null,1117          "flair_name": null,1118          "flair_url": null,1119          "flair_bg_color": null,1120          "flair_color": null,1121          "flair_group_id": null,1122          "badges_granted": [],1123          "version": 1,1124          "can_edit": false,1125          "can_delete": false,1126          "can_recover": false,1127          "can_see_hidden_post": false,1128          "can_wiki": false,1129          "link_counts": [1130            {1131              "url": "https://pytorch.org/blog/introducing-torchmultimodal/",1132              "internal": false,1133              "reflection": false,1134              "title": "Introducing TorchMultimodal - a library for accelerating exploration in Multimodal AI | PyTorch",1135              "clicks": 171136            }1137          ],1138          "read": true,1139          "user_title": null,1140          "bookmarked": false,1141          "actions_summary": [1142            {1143              "id": 2,1144              "count": 11145            }1146          ],1147          "moderator": false,1148          "admin": false,1149          "staff": false,1150          "user_id": 17564,1151          "hidden": false,1152          "trust_level": 2,1153          "deleted_at": null,1154          "user_deleted": false,1155          "edit_reason": null,1156          "can_view_edit_history": true,1157          "wiki": false,1158          "post_url": "/t/how-to-build-a-multi-modals-models-in-pytorch/191917/2",1159          "can_accept_answer": false,1160          "can_unaccept_answer": false,1161          "accepted_answer": true,1162          "topic_accepted_answer": true1163        },1164        {1165          "id": 424356,1166          "name": "Teddy Salas",1167          "username": "Teddy_Salas",1168          "avatar_template": "/user_avatar/discuss.pytorch.org/teddy_salas/{size}/64758_2.png",1169          "created_at": "2023-11-18T13:38:19.491Z",1170          "cooked": "<p>okay, thank you i will inform you later.</p>",1171          "post_number": 3,1172          "post_type": 1,1173          "posts_count": 3,1174          "updated_at": "2023-11-18T13:38:19.491Z",1175          "reply_count": 0,1176          "reply_to_post_number": 2,1177          "quote_count": 0,1178          "incoming_link_count": 0,1179          "reads": 6,1180          "readers_count": 5,1181          "score": 1.2,1182          "yours": false,1183          "topic_id": 191917,1184          "topic_slug": "how-to-build-a-multi-modals-models-in-pytorch",1185          "display_username": "Teddy Salas",1186          "primary_group_name": null,1187          "flair_name": null,1188          "flair_url": null,1189          "flair_bg_color": null,1190          "flair_color": null,1191          "flair_group_id": null,1192          "badges_granted": [],1193          "version": 1,1194          "can_edit": false,1195          "can_delete": false,1196          "can_recover": false,1197          "can_see_hidden_post": false,1198          "can_wiki": false,1199          "read": true,1200          "user_title": null,

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