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enable memory tracker metrics for npu (#27280)

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This commit is contained in:
Hz, Ji
2023-11-06 21:44:21 +08:00
committed by GitHub
parent d7dcfa8917
commit 1ffc4dee5b
2 changed files with 18 additions and 3 deletions
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6
tests/trainer/test_trainer.py
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@@ -1944,18 +1944,18 @@ class TrainerIntegrationTest(TestCasePlus, TrainerIntegrationCommon):
metrics = trainer.train().metrics
check_func("init_mem_cpu_alloc_delta", metrics)
check_func("train_mem_cpu_alloc_delta", metrics)
if torch.cuda.device_count() > 0:
if backend_device_count(torch_device) > 0:
check_func("init_mem_gpu_alloc_delta", metrics)
check_func("train_mem_gpu_alloc_delta", metrics)
metrics = trainer.evaluate()
check_func("eval_mem_cpu_alloc_delta", metrics)
if torch.cuda.device_count() > 0:
if backend_device_count(torch_device) > 0:
check_func("eval_mem_gpu_alloc_delta", metrics)
metrics = trainer.predict(RegressionDataset()).metrics
check_func("test_mem_cpu_alloc_delta", metrics)
if torch.cuda.device_count() > 0:
if backend_device_count(torch_device) > 0:
check_func("test_mem_gpu_alloc_delta", metrics)
def test_mem_metrics(self):