Comments (5)
Marshall-yao
commented on June 23, 2024
2
@thangvubk
Thanks so much. I misunderstood the post you commented.
I have changed the w with w.detach() in focal_loss.py .Then it runs well.
Then i will test the model to check if it reproduces well.
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thangvubk
commented on June 23, 2024
I guess that the derivative for weight is not supported in binary_cross_entropy. You can follow this post.
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Marshall-yao
commented on June 23, 2024
OK. Thanks so much.
I will have a try.
Best regards.
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Marshall-yao
commented on June 23, 2024
After reading the post you recommended, i think it needs the derivative, but i dont know how to implement binary_cross_entropy_with_logits.
Could you give some suggestions ?
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thangvubk
commented on June 23, 2024
To my knowledge, you dont need the derivative for focal loss weight. So just detach it.
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Related Issues (7)
- How many parameters does your generator have? HOT 1
- could not reproduce paper results (resolved. thanks) HOT 3
- RuntimeError: size mismatch, m1: [2 x 4608], m2: [2048 x 1024] at /pytorch/aten/src/THC/generic/THCTensorMathBlas.cu:249 HOT 2
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- AssertionError: size of input tensor and input format are different. HOT 9
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