[tests] fix copy-n-paste error (#17312)

* [tests] fix copy-n-paste error

* fix

Author: stas00

tests/trainer/test_trainer.py

@@ -1551,7 +1551,7 @@ def test_fp16_full_eval(self):
         a = torch.ones(1000, bs) + 0.001
         b = torch.ones(1000, bs) - 0.001
 
-        # 1. with mem metrics enabled
+        # 1. with fp16_full_eval disabled
         trainer = get_regression_trainer(a=a, b=b, eval_len=eval_len, skip_memory_metrics=False)
         metrics = trainer.evaluate()
         del trainer
@@ -1572,7 +1572,7 @@ def test_fp16_full_eval(self):
         # perfect world: fp32_eval == close to zero
         self.assertLess(fp32_eval, 5_000)
 
-        # 2. with mem metrics disabled
+        # 2. with fp16_full_eval enabled
         trainer = get_regression_trainer(a=a, b=b, eval_len=eval_len, fp16_full_eval=True, skip_memory_metrics=False)
         metrics = trainer.evaluate()
         fp16_init = metrics["init_mem_gpu_alloc_delta"]
@@ -1611,7 +1611,7 @@ def test_bf16_full_eval(self):
         a = torch.ones(1000, bs) + 0.001
         b = torch.ones(1000, bs) - 0.001
 
-        # 1. with mem metrics enabled
+        # 1. with bf16_full_eval disabled
         trainer = get_regression_trainer(a=a, b=b, eval_len=eval_len, skip_memory_metrics=False)
         metrics = trainer.evaluate()
         del trainer
@@ -1632,7 +1632,7 @@ def test_bf16_full_eval(self):
         # perfect world: fp32_eval == close to zero
         self.assertLess(fp32_eval, 5_000)
 
-        # 2. with mem metrics disabled
+        # 2. with bf16_full_eval enabled
         trainer = get_regression_trainer(a=a, b=b, eval_len=eval_len, bf16_full_eval=True, skip_memory_metrics=False)
         metrics = trainer.evaluate()
         bf16_init = metrics["init_mem_gpu_alloc_delta"]