skip some ipex tests until it works with torch 1.12 (#17964)

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

tests/trainer/test_trainer.py

@@ -642,6 +642,7 @@ class TrainerIntegrationTest(TestCasePlus, TrainerIntegrationCommon):
         train_output = trainer.train()
         self.assertEqual(train_output.global_step, 10)
 
+    @unittest.skip(reason="skip temporarily until intel_extension_for_pytorch works with torch 1.12")
     @require_torch_bf16_cpu
     @require_intel_extension_for_pytorch
     def test_number_of_steps_in_training_with_ipex(self):
@@ -886,6 +887,7 @@ class TrainerIntegrationTest(TestCasePlus, TrainerIntegrationCommon):
         expected_acc = AlmostAccuracy()((pred + 1, y))["accuracy"]
         self.assertAlmostEqual(results["eval_accuracy"], expected_acc)
 
+    @unittest.skip(reason="skip temporarily until intel_extension_for_pytorch works with torch 1.12")
     @require_torch_bf16_cpu
     @require_intel_extension_for_pytorch
     def test_evaluate_with_ipex(self):
@@ -1006,6 +1008,7 @@ class TrainerIntegrationTest(TestCasePlus, TrainerIntegrationCommon):
         self.assertTrue(np.array_equal(labels[0], trainer.eval_dataset.ys[0]))
         self.assertTrue(np.array_equal(labels[1], trainer.eval_dataset.ys[1]))
 
+    @unittest.skip(reason="skip temporarily until intel_extension_for_pytorch works with torch 1.12")
     @require_torch_bf16_cpu
     @require_intel_extension_for_pytorch
     def test_predict_with_ipex(self):