C3W3 classify all test passed but when graded, the score is 0

[Deepti_Prasad]

Hi @skinx.learning

remember the difference between the incompatible shape is related your second dimension that is 64.

Can I know how are you recalling your pred in the classify grader cell?

I suspect issue with the below

pred =
_, n_feat =
v1 =
v2 =

C3 W3 Ex4 _, n_feat values

Hi @Lujain_Andijani There’s a hint couple of cells above, in the TripletLoss() function implementation: def TripletLoss(labels, out, margin=0.25): _, embedding_size = out.shape # get embedding size ... Note, that in your case the variable is not named out, but pred. So, to get the dimensionality (n_feat) of the model’s prediction, you just need to use the “shape” property of this variable. Cheers

Extra hint

Regards
DP