Add Memory Tracer #4181
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Add Memory Tracer #4181
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Codecov Report
@@ Coverage Diff @@
## develop #4181 +/- ##
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+ Coverage 33.95% 36.35% +2.40%
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Files 405 419 +14
Lines 56841 59168 +2327
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+ Hits 19302 21513 +2211
- Misses 37539 37655 +116
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ZHUI
reviewed
Dec 22, 2022
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| if self.paddle is not None: | ||
| # self.torch.cuda.reset_peak_memory_stats()? | ||
| self.paddle.device.cuda.empty_cache() |
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这个API是不是没有？
self.torch.cuda.reset_peak_memory_stats()?
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还有几个问题：
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注意修改还原 |
ZHUI
reviewed
Dec 28, 2022
| @@ -132,7 +117,6 @@ def compute_metrics(p): | |||
| preds = paddle.to_tensor(preds) | |||
| label = paddle.to_tensor(p.label_ids) | |||
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| probs = F.softmax(preds, axis=1) | |||
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commit时候自动报错的，没用上这个变量
ZHUI
approved these changes
Dec 28, 2022
| @@ -493,6 +493,9 @@ class TrainingArguments: | |||
| default=None, | |||
| metadata={"help": "The path to a folder with a valid checkpoint for your model."}, | |||
| ) | |||
| skip_memory_metrics: bool = field( | |||
| default=True, metadata={"help": "Whether or not to skip adding of memory profiler reports to metrics."} | |||
| ) | |||
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PR types
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Description
New feature: add trainer memory tracer
A helper class that tracks cpu and gpu memory.
When a stage completes, it can pass metrics dict to update with the memory metrics gathered during this stage.