[not for land yet]fix using size of quant layer in torch._assert (#53187)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/53187
Before this diff, if we had code lik
```
x = any_quant_layer(...)
x_size0 = x.size(0)
torch._assert(x_size_0 == 1)
```
The convert code would try to insert a dequantize after `x_size0`,
because it was a descendant of a quantized node and it was needed
for a non-quantized operation. Since the actual type of the `size`
function output is an integer, this does not make sense.
For now, this is fixed as a one-off to unblock a customer. In the
future, we may need to think more deeply about all the functions which
can return non-quantized types from quantized tensors and make sure
they are all covered.
Test Plan:
```
python test/test_quantization.py TestQuantizeFx.test_assert_on_size_after_quant_layer
```
Imported from OSS
Reviewed By: raghuramank100
Differential Revision: D26780690
fbshipit-source-id: 44cc25c9179d460efb3f110d40b73d854d676af5
