I got the error of `"The dimension of input tensor should be larger than or equal to 2"`

when calling `torch.jit.trace()`

on a dynamic quantized model. The error message is from this line of source code of PyTorch:

Why “input dimension >=2” is a hard check here?

Example code:

model architecture:

```
(MLP_layer_0): Linear(
(model): Sequential(
(0): Linear(in_features=2, out_features=10, bias=True)
(1): Sigmoid()
)
)
(MLP_layer_1): Linear(
(model): Linear(in_features=10, out_features=1, bias=True)
)
```

Then calling dynamic quantization:

`model = torch.quantization.quantize_dynamic(model)`

Then calling torch.jit.trace() and hit above error:

`model = torch.jit.trace(model, ...)`