Anurag1734/cuda-error-resolution-analysis
07
1[2 {3 "post_stream": {4 "posts": [5 {6 "id": 135144,7 "name": "Chenchao0526",8 "username": "CHENCHAO0526",9 "avatar_template": "/letter_avatar_proxy/v4/letter/c/51bf81/{size}.png",10 "created_at": "2019-09-17T02:40:34.879Z",11 "cooked": "<p><div class=\"lightbox-wrapper\"><a class=\"lightbox\" href=\"https://discuss.pytorch.org/uploads/default/original/2X/a/af618208a667e3094bb390549f37cf94a4ecca8a.png\" data-download-href=\"https://discuss.pytorch.org/uploads/default/af618208a667e3094bb390549f37cf94a4ecca8a\" title=\"Screenshot%20from%202019-09-17%2010-36-58\"><img src=\"https://discuss.pytorch.org/uploads/default/optimized/2X/a/af618208a667e3094bb390549f37cf94a4ecca8a_2_690x394.png\" alt=\"Screenshot%20from%202019-09-17%2010-36-58\" data-base62-sha1=\"p1usXFD0jPkNAlEMF5YSov7tIWC\" width=\"690\" height=\"394\" srcset=\"https://discuss.pytorch.org/uploads/default/optimized/2X/a/af618208a667e3094bb390549f37cf94a4ecca8a_2_690x394.png, https://discuss.pytorch.org/uploads/default/original/2X/a/af618208a667e3094bb390549f37cf94a4ecca8a.png 1.5x, https://discuss.pytorch.org/uploads/default/original/2X/a/af618208a667e3094bb390549f37cf94a4ecca8a.png 2x\" data-dominant-color=\"F1F1F2\"><div class=\"meta\"><svg class=\"fa d-icon d-icon-far-image svg-icon\" aria-hidden=\"true\"><use href=\"#far-image\"></use></svg><span class=\"filename\">Screenshot%20from%202019-09-17%2010-36-58</span><span class=\"informations\">1006×575 60.3 KB</span><svg class=\"fa d-icon d-icon-discourse-expand svg-icon\" aria-hidden=\"true\"><use href=\"#discourse-expand\"></use></svg></div></a></div></p>",12 "post_number": 1,13 "post_type": 1,14 "posts_count": 2,15 "updated_at": "2019-09-17T02:40:34.879Z",16 "reply_count": 0,17 "reply_to_post_number": null,18 "quote_count": 0,19 "incoming_link_count": 23,20 "reads": 12,21 "readers_count": 11,22 "score": 117.4,23 "yours": false,24 "topic_id": 56108,25 "topic_slug": "what-does-continuous-mean-isnt-any-array-is-continuous",26 "display_username": "Chenchao0526",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": 1,35 "can_edit": false,36 "can_delete": false,37 "can_recover": false,38 "can_see_hidden_post": false,39 "can_wiki": false,40 "link_counts": [41 {42 "url": "https://discuss.pytorch.org/uploads/default/original/2X/a/af618208a667e3094bb390549f37cf94a4ecca8a.png",43 "internal": true,44 "reflection": false,45 "clicks": 046 }47 ],48 "read": true,49 "user_title": null,50 "bookmarked": false,51 "actions_summary": [],52 "moderator": false,53 "admin": false,54 "staff": false,55 "user_id": 19909,56 "hidden": false,57 "trust_level": 0,58 "deleted_at": null,59 "user_deleted": false,60 "edit_reason": null,61 "can_view_edit_history": true,62 "wiki": false,63 "post_url": "/t/what-does-continuous-mean-isnt-any-array-is-continuous/56108/1",64 "can_accept_answer": false,65 "can_unaccept_answer": false,66 "accepted_answer": false,67 "topic_accepted_answer": null,68 "can_vote": false69 },70 {71 "id": 135160,72 "name": "",73 "username": "jrue1994",74 "avatar_template": "/letter_avatar_proxy/v4/letter/j/cab0a1/{size}.png",75 "created_at": "2019-09-17T07:31:34.270Z",76 "cooked": "<p>Tensors are saved in a whole block in MEMORY,<br>\ncontiguous means adjacent elements are adjacent in memory. 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"post_stream": {512 "posts": [513 {514 "id": 61976,515 "name": "T",516 "username": "ttoosi",517 "avatar_template": "/letter_avatar_proxy/v4/letter/t/e5b9ba/{size}.png",518 "created_at": "2018-08-21T13:02:50.787Z",519 "cooked": "<p>Hi,<br>\nI am trying to calculate the plane passing through 2 vectors which are both of 200 dimensions. I know if these vectors were 3-D, I could use <strong>cross product</strong>. I wonder if there are any functions for cross product generalization to more than 3d in pytorch?</p>\n<p>Thanks,<br>\nT</p>",520 "post_number": 1,521 "post_type": 1,522 "posts_count": 2,523 "updated_at": "2018-08-21T13:02:50.787Z",524 "reply_count": 0,525 "reply_to_post_number": null,526 "quote_count": 0,527 "incoming_link_count": 63,528 "reads": 17,529 "readers_count": 16,530 "score": 318.4,531 "yours": false,532 "topic_id": 23592,533 "topic_slug": "cross-product-for-more-than-3-dimensions",534 "display_username": "T",535 "primary_group_name": null,536 "flair_name": null,537 "flair_url": null,538 "flair_bg_color": null,539 "flair_color": null,540 "flair_group_id": null,541 "badges_granted": [],542 "version": 1,543 "can_edit": false,544 "can_delete": false,545 "can_recover": false,546 "can_see_hidden_post": false,547 "can_wiki": false,548 "read": true,549 "user_title": "",550 "bookmarked": false,551 "actions_summary": [],552 "moderator": false,553 "admin": false,554 "staff": false,555 "user_id": 4027,556 "hidden": false,557 "trust_level": 2,558 "deleted_at": null,559 "user_deleted": false,560 "edit_reason": null,561 "can_view_edit_history": true,562 "wiki": false,563 "post_url": "/t/cross-product-for-more-than-3-dimensions/23592/1",564 "can_accept_answer": false,565 "can_unaccept_answer": false,566 "accepted_answer": false,567 "topic_accepted_answer": null,568 "can_vote": false569 },570 {571 "id": 135156,572 "name": "",573 "username": "dawenzi098",574 "avatar_template": "/user_avatar/discuss.pytorch.org/dawenzi098/{size}/15989_2.png",575 "created_at": "2019-09-17T05:45:41.803Z",576 "cooked": "<p>Hi, I got same question. Have you found any solution yet?</p>",577 "post_number": 2,578 "post_type": 1,579 "posts_count": 2,580 "updated_at": "2019-09-17T05:45:41.803Z",581 "reply_count": 0,582 "reply_to_post_number": null,583 "quote_count": 0,584 "incoming_link_count": 1,585 "reads": 11,586 "readers_count": 10,587 "score": 7.2,588 "yours": false,589 "topic_id": 23592,590 "topic_slug": "cross-product-for-more-than-3-dimensions",591 "display_username": "",592 "primary_group_name": null,593 "flair_name": null,594 "flair_url": null,595 "flair_bg_color": null,596 "flair_color": null,597 "flair_group_id": null,598 "badges_granted": [],599 "version": 1,600 "can_edit": false,601 "can_delete": false,602 "can_recover": false,603 "can_see_hidden_post": false,604 "can_wiki": false,605 "read": true,606 "user_title": null,607 "bookmarked": false,608 "actions_summary": [],609 "moderator": false,610 "admin": false,611 "staff": false,612 "user_id": 3338,613 "hidden": false,614 "trust_level": 0,615 "deleted_at": null,616 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"post_stream": {1014 "posts": [1015 {1016 "id": 82218,1017 "name": "",1018 "username": "Naruto-Sasuke",1019 "avatar_template": "/letter_avatar_proxy/v4/letter/n/ed8c4c/{size}.png",1020 "created_at": "2018-12-16T07:57:31.378Z",1021 "cooked": "<p>When I implement custom autograd function.<br>\nIn the forward of class <code>xxxFunction(torch.autograd.Function)</code>,<br>\nI get <code>ctx.matches</code>, then I want to get the <code>ctx.matches</code> outside this function.<br>\nI tried</p>\n<pre><code class=\"lang-auto\">@staticmethod\ndef get_matches(ctx):\n return ctx.matches\n</code></pre>\n<p>Then in the class <code>xxx(torch.nn.Module)</code>, I run <code>xxxFunction.get_matches()</code>.<br>\n<code>get_matches() takes exactly 1 argument (0 given)</code>.</p>\n<p>Thank you in advance!</p>",1022 "post_number": 1,1023 "post_type": 1,1024 "posts_count": 6,1025 "updated_at": "2018-12-16T07:57:31.378Z",1026 "reply_count": 0,1027 "reply_to_post_number": null,1028 "quote_count": 0,1029 "incoming_link_count": 307,1030 "reads": 27,1031 "readers_count": 26,1032 "score": 1555.4,1033 "yours": false,1034 "topic_id": 32248,1035 "topic_slug": "how-to-get-ctx-xx-outside-the-custom-autograd-function",1036 "display_username": "",1037 "primary_group_name": null,1038 "flair_name": null,1039 "flair_url": null,1040 "flair_bg_color": null,1041 "flair_color": null,1042 "flair_group_id": null,1043 "badges_granted": [],1044 "version": 1,1045 "can_edit": false,1046 "can_delete": false,1047 "can_recover": false,1048 "can_see_hidden_post": false,1049 "can_wiki": false,1050 "read": true,1051 "user_title": null,1052 "bookmarked": false,1053 "actions_summary": [1054 {1055 "id": 2,1056 "count": 11057 }1058 ],1059 "moderator": false,1060 "admin": false,1061 "staff": false,1062 "user_id": 2201,1063 "hidden": false,1064 "trust_level": 2,1065 "deleted_at": null,1066 "user_deleted": false,1067 "edit_reason": null,1068 "can_view_edit_history": true,1069 "wiki": false,1070 "post_url": "/t/how-to-get-ctx-xx-outside-the-custom-autograd-function/32248/1",1071 "can_accept_answer": false,1072 "can_unaccept_answer": false,1073 "accepted_answer": false,1074 "topic_accepted_answer": null,1075 "can_vote": false1076 },1077 {1078 "id": 82353,1079 "name": "",1080 "username": "Naruto-Sasuke",1081 "avatar_template": "/letter_avatar_proxy/v4/letter/n/ed8c4c/{size}.png",1082 "created_at": "2018-12-17T01:47:59.453Z",1083 "cooked": "<p><a class=\"mention\" href=\"/u/alband\">@albanD</a> could you help me in this problem?</p>",1084 "post_number": 2,1085 "post_type": 1,1086 "posts_count": 6,1087 "updated_at": "2018-12-17T01:47:59.453Z",1088 "reply_count": 0,1089 "reply_to_post_number": null,1090 "quote_count": 0,1091 "incoming_link_count": 0,1092 "reads": 27,1093 "readers_count": 26,1094 "score": 5.4,1095 "yours": false,1096 "topic_id": 32248,1097 "topic_slug": "how-to-get-ctx-xx-outside-the-custom-autograd-function",1098 "display_username": "",1099 "primary_group_name": null,1100 "flair_name": null,1101 "flair_url": null,1102 "flair_bg_color": null,1103 "flair_color": null,1104 "flair_group_id": null,1105 "badges_granted": [],1106 "version": 1,1107 "can_edit": false,1108 "can_delete": false,1109 "can_recover": false,1110 "can_see_hidden_post": false,1111 "can_wiki": false,1112 "read": true,1113 "user_title": null,1114 "bookmarked": false,1115 "actions_summary": [],1116 "moderator": false,1117 "admin": false,1118 "staff": false,1119 "user_id": 2201,1120 "hidden": false,1121 "trust_level": 2,1122 "deleted_at": null,1123 "user_deleted": false,1124 "edit_reason": null,1125 "can_view_edit_history": true,1126 "wiki": false,1127 "post_url": "/t/how-to-get-ctx-xx-outside-the-custom-autograd-function/32248/2",1128 "can_accept_answer": false,1129 "can_unaccept_answer": false,1130 "accepted_answer": false,1131 "topic_accepted_answer": null1132 },1133 {1134 "id": 82450,1135 "name": "Alban D",1136 "username": "albanD",1137 "avatar_template": "/user_avatar/discuss.pytorch.org/alband/{size}/215_2.png",1138 "created_at": "2018-12-17T10:37:54.007Z",1139 "cooked": "<p>Hi,</p>\n<p>You can access this from the <code>backward</code> method that gets the same <code>ctx</code> as input.<br>\nI don’t think you can extract it in a reliable way though.<br>\nWhy do you need to do this? Can’t you just return it as another output of the <code>forward</code> method?</p>",1140 "post_number": 3,1141 "post_type": 1,1142 "posts_count": 6,1143 "updated_at": "2018-12-17T10:37:54.007Z",1144 "reply_count": 1,1145 "reply_to_post_number": null,1146 "quote_count": 0,1147 "incoming_link_count": 2,1148 "reads": 25,1149 "readers_count": 24,1150 "score": 35.0,1151 "yours": false,1152 "topic_id": 32248,1153 "topic_slug": "how-to-get-ctx-xx-outside-the-custom-autograd-function",1154 "display_username": "Alban D",1155 "primary_group_name": null,1156 "flair_name": null,1157 "flair_url": null,1158 "flair_bg_color": null,1159 "flair_color": null,1160 "flair_group_id": null,1161 "badges_granted": [],1162 "version": 1,1163 "can_edit": false,1164 "can_delete": false,1165 "can_recover": false,1166 "can_see_hidden_post": false,1167 "can_wiki": false,1168 "read": true,1169 "user_title": "",1170 "bookmarked": false,1171 "actions_summary": [1172 {1173 "id": 2,1174 "count": 11175 }1176 ],1177 "moderator": true,1178 "admin": true,1179 "staff": true,1180 "user_id": 211,1181 "hidden": false,1182 "trust_level": 4,1183 "deleted_at": null,1184 "user_deleted": false,1185 "edit_reason": null,1186 "can_view_edit_history": true,1187 "wiki": false,1188 "post_url": "/t/how-to-get-ctx-xx-outside-the-custom-autograd-function/32248/3",1189 "can_accept_answer": false,1190 "can_unaccept_answer": false,1191 "accepted_answer": false,1192 "topic_accepted_answer": null1193 },1194 {1195 "id": 134120,1196 "name": "Xiao Zhang",1197 "username": "cosmozhang1988",1198 "avatar_template": "/user_avatar/discuss.pytorch.org/cosmozhang1988/{size}/1593_2.png",1199 "created_at": "2019-09-10T14:37:15.373Z",1200 "cooked": "<p>I am facing the same issue. If I return it as another output of the <code>forward</code> method, how to adjust the <code>backward</code> method? <a class=\"mention\" href=\"/u/alband\">@albanD</a><br>\nMany thanks!</p>",