[quant][graphmode][fix] dequantize propagation for {add/mul}_scalar + aten::repeat (#40933)
* [quant][graphmode][fix] dequantize propagation for {add/mul}_scalar (#40596)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/40596
Previously the fusion patterns for {add/mul}_scalar is inconsistent since the op pattern
produces a non-quantized tensor and the op replacement graph produces a quantized tensor
Test Plan: Imported from OSS
Differential Revision: D22251072
fbshipit-source-id: e16eb92cf6611578cca1ed8ebde961f8d0610137
* [quant][graphmode] Support quantization for `aten::apend` (#40743)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/40743
`aten::append` modifies input inplace and the output is ignored, these ops are not
supported right now, so we'll need to first make `aten::append` non-inplace
by change
```
ignored = aten::append(list, x)
```
to
```
x_list = aten::ListConstruct(x)
result = aten::add(list, x_list)
```
and then quantize the aten::add instead.
Test Plan:
TestQuantizeJitOps.test_general_shape_ops
Imported from OSS
Differential Revision: D22302151
fbshipit-source-id: 931000388e7501e9dd17bec2fad8a96b71a5efc5
