add support for quantized tensors in `torch.testing.assert_close` (#58926)
Summary:
This adds support for quantized tensors the same way torch.testing._internal.common_utils.TestCase.assertEqual does:
https://github.com/pytorch/pytorch/blob/bf269fdc986d69156e5d55f0e376f5fa994ef588/torch/testing/_internal/common_utils.py#L1314-L1341
- `.qscheme()` is checked for equality
- `.q_scale` and `q_zero_point` are checked for equality (see comment below) for `.qscheme() == torch.per_tensor_affine`
- `.q_per_channel_scales`, `q_per_channel_zero_points`, and `q_per_channel_axis` are checked for equality (see comment below) for `.qscheme() == torch.per_tensor_affine`
- values are checked with the default checks after a `.int_repr().to(torch.int32)` call
Pull Request resolved: https://github.com/pytorch/pytorch/pull/58926
Reviewed By: jerryzh168
Differential Revision: D29483532
Pulled By: mruberry
fbshipit-source-id: 003fde7e21cf844778a879c3de0a7c84d13877bd
