There are two distributions `q`

and `p`

.

```
q = tensor([[ 0.6380, 0.3620, 0.0000],
[ 0.5583, 0.1702, 0.2715],
[ 0.6978, 0.1521, 0.1501]])
p = tensor([[ 0.2799, 0.3934, 0.3267],
[ 0.3521, 0.2994, 0.3484],
[ 0.1763, 0.5100, 0.3137]])
```

I need to computer the KLDivLoss between q and p.

```
kld_loss = F.kl_div(q.log(), p， size_average=False)
```

I noticed `q[0][2]`

is equal to `0`

, so the `q.log()`

produced ‘inf’ value in the final results.

In order to convenient computation, can I fill `1e-8`

to replace `0`

?

Is there a better solution?