Add output_size argument to caffe2 Int8ResizeNearest (#30202)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/30202
Pytorch Upsample operator has output_size as an argument.
For quantized tensor inputs we cannot get the input_size to calculate the width and height scale factor.
Instead we pass the output_size directly to caffe2 to calculate the scale factors.
Test Plan:
python test/onnx/test_pytorch_onnx_caffe2_quantized.py TestQuantizedOps.test_upsample
Imported from OSS
Differential Revision: D18631478
fbshipit-source-id: 38a39129bc863f4ecf2293acc068e40ab7edc825
