[tests] fix copy-n-paste error (#17312)
* [tests] fix copy-n-paste error * fix
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@@ -1551,7 +1551,7 @@ class TrainerIntegrationTest(TestCasePlus, TrainerIntegrationCommon):
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a = torch.ones(1000, bs) + 0.001
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b = torch.ones(1000, bs) - 0.001
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# 1. with mem metrics enabled
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# 1. with fp16_full_eval disabled
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trainer = get_regression_trainer(a=a, b=b, eval_len=eval_len, skip_memory_metrics=False)
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metrics = trainer.evaluate()
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del trainer
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@@ -1572,7 +1572,7 @@ class TrainerIntegrationTest(TestCasePlus, TrainerIntegrationCommon):
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# perfect world: fp32_eval == close to zero
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self.assertLess(fp32_eval, 5_000)
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# 2. with mem metrics disabled
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# 2. with fp16_full_eval enabled
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trainer = get_regression_trainer(a=a, b=b, eval_len=eval_len, fp16_full_eval=True, skip_memory_metrics=False)
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metrics = trainer.evaluate()
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fp16_init = metrics["init_mem_gpu_alloc_delta"]
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@@ -1611,7 +1611,7 @@ class TrainerIntegrationTest(TestCasePlus, TrainerIntegrationCommon):
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a = torch.ones(1000, bs) + 0.001
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b = torch.ones(1000, bs) - 0.001
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# 1. with mem metrics enabled
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# 1. with bf16_full_eval disabled
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trainer = get_regression_trainer(a=a, b=b, eval_len=eval_len, skip_memory_metrics=False)
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metrics = trainer.evaluate()
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del trainer
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@@ -1632,7 +1632,7 @@ class TrainerIntegrationTest(TestCasePlus, TrainerIntegrationCommon):
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# perfect world: fp32_eval == close to zero
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self.assertLess(fp32_eval, 5_000)
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# 2. with mem metrics disabled
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# 2. with bf16_full_eval enabled
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trainer = get_regression_trainer(a=a, b=b, eval_len=eval_len, bf16_full_eval=True, skip_memory_metrics=False)
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metrics = trainer.evaluate()
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bf16_init = metrics["init_mem_gpu_alloc_delta"]
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