I am new to pyro. In Introduction (Part 1), No.12 code block:

```
guide.requires_grad_(False)
for name, value in pyro.get_param_store().items():
print(name, pyro.param(name))
```

it returns:

AutoDiagonalNormal.loc Parameter containing:

tensor([-2.2371, -1.8097, -0.1691, 0.3791, 9.1823])

AutoDiagonalNormal.scale tensor([0.0551, 0.1142, 0.0387, 0.0769, 0.0702])

No.13 code block:

```
guide.quantiles([0.25, 0.5, 0.75])
```

it gets:

{‘sigma’: [tensor(0.9328), tensor(0.9647), tensor(0.9976)],

‘linear.weight’: [tensor([[-1.8868, -0.1952, 0.3272]]),

tensor([[-1.8097, -0.1691, 0.3791]]),

tensor([[-1.7327, -0.1429, 0.4309]])],

‘linear.bias’: [tensor([9.1350]), tensor([9.1823]), tensor([9.2297])]}

The problem is:

AutoDiagonalNormal.loc = [-2.2371, -1.8097, -0.1691, 0.3791, 9.1823]

From *guide* I know -1.8097, -0.1691, 0.3791, 9.1823 represents *weight* and *bias*, but what about -2.2371? This doesn’t look like *sigma*