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{
"owner": "NVIDIA",
"repo": "DeepLearningExamples",
"number": 1268,
"html_url": "https://github.com/NVIDIA/DeepLearningExamples/issues/1268",
"is_pull_request": false,
"state": "closed",
"state_reason": "completed",
"title": "[Resnet50/Classification] Error(s) in loading state_dict when using pretrained weights",
"author": "zeyuanyin",
"created_at": "2023-02-25T18:25:27Z",
"updated_at": "2023-06-02T16:07:33Z",
"closed_at": "2023-06-02T16:07:33Z",
"labels": [
"bug"
],
"milestone": null,
"comments_count": 1,
"reactions": {
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"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
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},
"resolution_days": 96.9,
"fix": {
"closing_commit": null,
"linked_prs": [],
"best_guess_fix_commit": null,
"has_fix": false
},
"fetched_at": "2026-07-28T12:22:02.141526+00:00",
"comments": [
{
"author": "zeyuanyin",
"created_at": "2023-02-25T18:42:33Z",
"body": "When using `--pretrained`, it works well.\r\n\r\n`python ./main.py --arch=resnet50 --evaluate --epochs=1 --pretrained -b=256 /home/data/imagenet/`\r\n\r\nThe pretrained models are in the same link address."
}
]
}