To_add mostly showing 0 when using VGG-11 architecture

[AmanGoyal99]

So majorly VGG-11 is showing 0 in front of "neurons to add". Could it be please confirmed whether grow algorithm running is fine or not in this because such an issue was not observed for LeNet.

Just to add, these are few results of last 2 iterations:

Validation: Average loss: 0.0144, Accuracy: 3467/5000 (69.34%)
Layer 0 score: 21/25, neurons to add: 0
Layer 1 score: 34/36, neurons to add: 0
Layer 2 score: 63/67, neurons to add: 0
Layer 3 score: 61/65, neurons to add: 0
Layer 4 score: 124/133, neurons to add: 0
Layer 5 score: 112/128, neurons to add: 0
Layer 6 score: 105/128, neurons to add: 0
Layer 7 score: 78/128, neurons to add: 0
Layer 8 score: 304/1024, neurons to add: 0
Layer 9 score: 475/1024, neurons to add: 0
The grown model now has 1787097 effective parameters.
Validation after growing: Average loss: 0.0143, Accuracy: 3467/5000 (69.34%)
Train Epoch: 0 [0/45000 (0%)] Loss: 0.047333
Train Epoch: 0 [12800/45000 (28%)] Loss: 0.073766
Train Epoch: 0 [25600/45000 (57%)] Loss: 0.026595
Train Epoch: 0 [38400/45000 (85%)] Loss: 0.014527