Add resnet50/mobilenet_v2_quantized_qat in into deterministic_algorithms exclusive list (#120384)
After PR: https://github.com/pytorch/pytorch/pull/120026, 2 `Torchbench` testcases: `resnet50_quantized_qat` and `mobilenet_v2_quantized_qat` can pass the performance testing but failed with accuracy test. The failure msg is: `mobilenet_v2_quantized_qat, RuntimeError: quantized_resize_cpu_ does not have a deterministic implementation but you set 'torch.use_deterministic_algorithms(True)'. `
- `torch.use_deterministic_algorithms(True)` only setting for accuracy test. https://github.com/pytorch/pytorch/blob/fff9d98e58cda4ad67fef6d0739f684ca7d4bbec/benchmarks/dynamo/common.py#L3480
- However, `quantized_resize_cpu_` only support `nondeterministic_algorithms` because the resized output memory may be uninitialized. https://github.com/pytorch/pytorch/blob/fff9d98e58cda4ad67fef6d0739f684ca7d4bbec/aten/src/ATen/native/quantized/cpu/TensorOperators.cpp#L85-L87
Add these 2 models into the deterministic_algorithms exclusive model list in this PR.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/120384
Approved by: https://github.com/desertfire, https://github.com/jgong5
