Misc fixes 20250130 (#2301)
* misc fixes for garbage collection and L40S w NCCL P2P * patch bnb fix for triton check * chore: lint * change up import * try patching differently * remove patch for bnb fix for now * more verbose checks and tweak train loss threshold
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@@ -63,7 +63,7 @@ class TestProcessRewardSmolLM2(unittest.TestCase):
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train(cfg=cfg, dataset_meta=dataset_meta)
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check_tensorboard(
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temp_dir + "/runs", "train/train_loss", 2.5, "Train Loss is too high"
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temp_dir + "/runs", "train/train_loss", 2.7, "Train Loss (%s) is too high"
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)
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check_model_output_exists(temp_dir, cfg)
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@@ -82,7 +82,10 @@ def check_tensorboard(
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reader = SummaryReader(event_file)
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df = reader.scalars # pylint: disable=invalid-name
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df = df[(df.tag == tag)] # pylint: disable=invalid-name
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assert df.value.values[-1] < lt_val, assertion_err
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if "%s" in assertion_err:
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assert df.value.values[-1] < lt_val, assertion_err % df.value.values[-1]
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else:
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assert df.value.values[-1] < lt_val, assertion_err
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def check_model_output_exists(temp_dir: str, cfg: DictDefault) -> None:
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