Enable deterministic support for oneDNN (#127277)

Summary:
This PR is a part of RFC pytorch/pytorch#114848.
For the request for Torchbenchmark models, this PR enables the deterministic attribute for the oneDNN operators for XPU backends, like convolution, deconvolution and matmult.

X-link: pytorch/pytorch#127277
Approved by: https://github.com/jgong5, https://github.com/EikanWang, https://github.com/desertfire, https://github.com/gujinghui

Reviewed By: fbgheith

Differential Revision: D58918395

fbshipit-source-id: 333cde99143d7e20ca838c82f5ffc0eb63f33a7c

userbenchmark/dynamo/dynamobench/common.py

@@ -3791,6 +3791,8 @@ def run(runner, args, original_dir=None):
         torch.backends.cudnn.benchmark = False
         torch.backends.cuda.matmul.allow_tf32 = False
 
+        torch.backends.mkldnn.deterministic = True
+
         # Remove randomeness when torch manual seed is called
         patch_torch_manual_seed()