Enabled LMCorrectness inference tests on HPU. (microsoft#5271)

Since lm_eval API(v0.3.0) does not currently support HPU accelerator, so
to run LMCorrectness tests on HPU, get lm_eval model with CPU and move
it to HPU accelerator.

tests/unit/inference/test_inference.py

@@ -653,8 +653,15 @@ def no_pool_bootstrap_stderr(f, xs, iters):
             setattr(lm, model_family, getattr(lm, model_family).half().to(device))
             lm._device = device
         else:
-            lm = lm_eval.models.get_model(model_family).create_from_arg_string(
-                f"pretrained={model_name}", {"device": get_accelerator().device_name()})
+            if get_accelerator().device_name() == 'hpu':
+                #lm_eval not supporting HPU device, so get model with CPU and move it to HPU.
+                lm = lm_eval.models.get_model(model_family).create_from_arg_string(f"pretrained={model_name}",
+                                                                                   {"device": "cpu"})
+                setattr(lm, model_family, getattr(lm, model_family).to(device))
+                lm._device = device
+            else:
+                lm = lm_eval.models.get_model(model_family).create_from_arg_string(
+                    f"pretrained={model_name}", {"device": get_accelerator().device_name()})
 
         get_accelerator().synchronize()
         start = time.time()