NetVLAD-pytorch
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lyakaap
RuntimeError: result type Long can't be cast to the desired output type Bool
Could you please tell me why it shows "RuntimeError: result type Long can't be cast to the desired output type Bool" when running this code?
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Yes, I have solved this problem but I met another one that the loss can not converge to a value less than the margin.
On 12/1/2020 10:06，taylover-pei<[email protected]> wrote：
Have you solved this problem？
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font{
line-height: 1.6;
}
ul,ol{
padding-left: 20px;
list-style-position: inside;
}
I changed some details in this file 'hard_triplet_loss.py', but I forget which one solved this problem. The changed file is attached here for you to refer. Hope this can help you.
On 12/22/2020 14:48，baopmessi<[email protected]> wrote：
How to solved this problem？
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Hello, I also encountered this problem, which has not been solved yet. Could you send me a copy of your document, please? thank you.
How to solved this problem？ Hello, I also encountered this problem, which has not been solved yet. Could you send me a copy of your document, please? thank you.
font{
line-height: 1.6;
}
ul,ol{
padding-left: 20px;
list-style-position: inside;
}
Sure, hope this can help you .
On 1/10/2021 17:27，zhangxiaopang88<[email protected]> wrote：
How to solved this problem？
Hello, I also encountered this problem, which has not been solved yet. Could you send me a copy of your document, please? thank you.
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font{
line-height: 1.6;
}
ul,ol{
padding-left: 20px;
list-style-position: inside;
}
On 1/26/2021 07:56，yochaiye<[email protected]> wrote：
Hi @Yolanda2020, Can you please send me your solution too?
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Hello @Yolanda2020, could you please send me your solution too?? thanks a lot.
Could you please tell me why it shows "RuntimeError: result type Long can't be cast to the desired output type Bool" when running this code?
def _get_triplet_mask(labels):
device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
# Check that i, j and k are distinct
indices_equal = torch.eye(labels.size(0), dtype=torch.bool, device=labels.device)
indices_not_equal = ~indices_equal
i_not_equal_j = indices_not_equal.unsqueeze(2)
i_not_equal_k = indices_not_equal.unsqueeze(1)
j_not_equal_k = indices_not_equal.unsqueeze(0)
distinct_indices = (i_not_equal_j & i_not_equal_k) & j_not_equal_k
label_equal = labels.unsqueeze(0) == labels.unsqueeze(1)
i_equal_j = label_equal.unsqueeze(2)
i_equal_k = label_equal.unsqueeze(1)
valid_labels = ~i_equal_k & i_equal_j
mask = valid_labels & distinct_indices
return mask.to(device)
you can use the above function to replace to original one.
thank you so much😭😭😊😊👍👍👍👍👍
2021년 2월 14일 (일) 오후 10:21, JAaron9311 [email protected]님이 작성:
Could you please tell me why it shows "RuntimeError: result type Long can't be cast to the desired output type Bool" when running this code?
def _get_triplet_mask(labels): device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
Check that i, j and k are distinct
indices_equal = torch.eye(labels.size(0), dtype=torch.bool, device=labels.device) indices_not_equal = ~indices_equal i_not_equal_j = indices_not_equal.unsqueeze(2) i_not_equal_k = indices_not_equal.unsqueeze(1) j_not_equal_k = indices_not_equal.unsqueeze(0)
distinct_indices = (i_not_equal_j & i_not_equal_k) & j_not_equal_k
label_equal = labels.unsqueeze(0) == labels.unsqueeze(1) i_equal_j = label_equal.unsqueeze(2) i_equal_k = label_equal.unsqueeze(1)
valid_labels = ~i_equal_k & i_equal_j mask = valid_labels & distinct_indices return mask.to(device)
you can use the above function to replace to original one.
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@Yolanda2020 ,hello, could you please send me the file --- 'hard-margin-triplet loss? I meet this problem, too. Thank you
font{
line-height: 1.6;
}
ul,ol{
padding-left: 20px;
list-style-position: inside;
}
On 8/27/2021 ***@***.***> wrote：
@Yolanda2020 ,hello, could you please send me the file --- 'hard-margin-triplet loss? I meet this problem, too. Thank you
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Hi, I meet this problem too. Could you please send me your solution? Thanks a lot!
font{
line-height: 1.6;
}
ul,ol{
padding-left: 20px;
list-style-position: inside;
}
On 9/30/2021 ***@***.***> wrote：
Hi, I meet this problem too. Could you please send me your solution? Thanks a lot!
—You are receiving this because you were mentioned.Reply to this email directly, view it on GitHub, or unsubscribe.Triage notifications on the go with GitHub Mobile for iOS or Android.