Some confusion about random dataset about nntrainer

[eightreal]

It is for the different cases to take labels. Let's say the class ID is 10 for the truck in CFAR10. Then, if the size == 1, the data will be filled with 9 and if it is not it will be [ 0,0,0,0,0,0,0,0,1 ]

Hope it will help.

Oh, I can understand the case , thanks for your explian, but I think it should add a check that.

label < length

[taos-ci]

cibot: Thank you for posting issue #2525. The person in charge will reply soon.

[myungjoo]

maybe.. we need

33: *data = 1.0;
38: *(data + label) = 1.0;
, and a parameter check, label < length.

OR

This supports two different data formats. ( a scalar label and a vector label ).

I presume the latter one. However, we need additional doxygen entry or comments, explaining the expected data format.

[jijoongmoon]

It is for the different cases to take labels.
Let's say the class ID is 10 for the truck in CFAR10.
Then, if the size == 1, the data will be filled with 9 and if it is not it will be [ 0,0,0,0,0,0,0,0,1 ]

Hope it will help.

[jijoongmoon]

Yes. you are right.

[eightreal]

Okay . thanks for your help,
and how about the second question?

[jijoongmoon]

Okay . thanks for your help, and how about the second question?

yes. it is better to use cur_label_tensor. Thanks!

[eightreal]

Okay . thanks for your help, and how about the second question?

yes. it is better to use cur_label_tensor. Thanks!

thanks for your help!!!

I also have other problem about nntrainer, I will raise another issue