Comments (6)
albertfaromatics
commented on May 13, 2024
12
The fix is to convert to long the "gain" of the gridspace on declaration.
In all lines with
gain = torch.ones(7, device=targets.device)
change to
gain = torch.ones(7, device=targets.device).long()
For some reason newest versions of cuda/torch do not do this cast automatically when needed
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abbass-zain-eddine
commented on May 13, 2024
6
I just updated the line 388 in the loss.py to become:
indices.append((b, a, gj.clamp_(0,int(gain[3]) - 1), gi.clamp_(0, int(gain[2]) - 1)))
and it works, without changing the pytorch version.
I am training yolov5 polygon
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ggggggaa
commented on May 13, 2024
result type Float can't be cast to the desired output type __int64
same issues
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WongKinYiu
commented on May 13, 2024
Python-3.8.10 torch-1.12.0+cu102 CUDA:0
My environment, torch 1.12 is OK, do you use Python 3.9?
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ggggggaa
commented on May 13, 2024
yes my environment is cu116+torch1.12.0 Python 3.9
…---Original---
From: "Kin-Yiu, ***@***.***>
Date: Fri, Jul 8, 2022 16:48 PM
To: ***@***.***>;
Cc: ***@***.******@***.***>;
Subject: Re: [WongKinYiu/yolov7] RuntimeError: result type Float can't be castto the desired output type long int (Issue #35)
Python-3.8.10 torch-1.12.0+cu102 CUDA:0
My environment, torch 1.12 is OK, do you use Python 3.9?
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ggggggaa
commented on May 13, 2024
it works thank you :D
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发件人: "WongKinYiu/yolov7" ***@***.***>;
发送时间: 2022年7月8日(星期五) 晚上6:05
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主题: Re: [WongKinYiu/yolov7] RuntimeError: result type Float can't be cast to the desired output type long int (Issue #35)
The fix is to convert to long the "gain" of the gridspain on declaration.
In all lines with
gain = torch.ones(7, device=targets.device)
change to
gain = torch.ones(7, device=targets.device).long()
For some reason newest versions of cuda/torch do not do this cast automatically when needed
—
Reply to this email directly, view it on GitHub, or unsubscribe.
You are receiving this because you commented.Message ID: ***@***.***>
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