CI: AMD MI300 tests fix (#30797)

* add fix

* update import

* updated dicts and comments

* remove prints

* Update testing_utils.py

tests/trainer/test_trainer.py

@@ -2551,7 +2551,7 @@ class TrainerIntegrationTest(TestCasePlus, TrainerIntegrationCommon):
         )
         eval_dataset = GlueDataset(data_args, tokenizer=tokenizer, mode="dev")
 
-        training_args = TrainingArguments(output_dir="./examples", use_cpu=True)
+        training_args = TrainingArguments(output_dir="./examples", use_cpu=True, report_to="none")
         trainer = Trainer(model=model, args=training_args, eval_dataset=eval_dataset)
         result = trainer.evaluate()
         self.assertLess(result["eval_loss"], 0.2)
@@ -2572,6 +2572,7 @@ class TrainerIntegrationTest(TestCasePlus, TrainerIntegrationCommon):
             output_dir="./examples",
             use_cpu=True,
             per_device_eval_batch_size=1,
+            report_to="none",
         )
         trainer = Trainer(
             model=model,
@@ -3107,6 +3108,8 @@ class TrainerIntegrationTest(TestCasePlus, TrainerIntegrationCommon):
                 "--predict_with_generate",
                 "--ddp_timeout",
                 "60",
+                "--report_to",
+                "none",
             ]
             execute_subprocess_async(command)
             # successful return here == success - any errors would have caused an error or a timeout in the sub-call

tests/trainer/test_trainer_seq2seq.py

@@ -161,7 +161,6 @@ class Seq2seqTrainerTester(TestCasePlus):
             tokenizer=tokenizer,
             data_collator=data_collator,
             compute_metrics=lambda x: {"samples": x[0].shape[0]},
-            report_to="none",
         )
 
         def prepare_data(examples):