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I want to use your proposed structure in some adversarial training framework.
My problem is that:
When batch size is 64, the previous data has the size of 64332*32
For J=1, after scattering, the matrix size is 64391616.
For J=2, after scattering, the matrix size is 6431788.
For J=3, after scattering, the matrix size is 6432544.
For J=4, after scattering, the matrix size is 6433322.
Looks like the tensor-shape for third dimesion is 1+J*8, the fourth and fifth dimension is 32/2^j.
I am not sure, is there a inverse operation API that I can restore the matrix after scattering to the original matrix, e.g., Tensor with size 64332*32.
It would be honor if you could answer the questions.
Thanks & regards!
Momo
The text was updated successfully, but these errors were encountered:
Hello,
Thanks a lot for your generous sharing.
I want to use your proposed structure in some adversarial training framework.
My problem is that:
When batch size is 64, the previous data has the size of 64332*32
For J=1, after scattering, the matrix size is 64391616.
For J=2, after scattering, the matrix size is 6431788.
For J=3, after scattering, the matrix size is 6432544.
For J=4, after scattering, the matrix size is 6433322.
Looks like the tensor-shape for third dimesion is 1+J*8, the fourth and fifth dimension is 32/2^j.
I am not sure, is there a inverse operation API that I can restore the matrix after scattering to the original matrix, e.g., Tensor with size 64332*32.
It would be honor if you could answer the questions.
Thanks & regards!
Momo
The text was updated successfully, but these errors were encountered: