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What is the difference between pai-torchacc and torchacc?

@anw90

Has there been an improvement in single-GPU training speed?

@SeaOfOcean

[Question] <title>When I serialize this object, enough space is allocated, but it still throws a java.lang.OutOfMemoryError: Java heap space

@chaokunyang

[Question] <title>When I serialize this object, enough space is allocated, but it still throws a java.lang.OutOfMemoryError: Java heap space

@chaokunyang Oh, I see. How does Fury perform with arrays? I want to replace MemoryBuffer with arrays.

[Question] <title>When I serialize this object, enough space is allocated, but it still throws a java.lang.OutOfMemoryError: Java heap space

yes @chaokunyang

[Question] <title>When I serialize this object, enough space is allocated, but it still throws a java.lang.OutOfMemoryError: Java heap space

Compared to Protobuf, the speed of serialization and deserialization as well as the compression ratio.

使用self.model = torchacc.accelerate(model)加速模型训练的时，GPU利用率极低，接近于0

@anw90 @qiuxiafei 大佬们，帮忙看看。

xlarun --nproc_per_node=8 YOUR_MODEL.py

@anw90 @YongCHN

xlarun --nproc_per_node=8 YOUR_MODEL.py

tks

xlarun --nproc_per_node=8 YOUR_MODEL.py

Does it support recommendation scenarios? Our features are column features. Below is our code: ` def _run_epoch(self, epoch: int, dataloader: DataLoader, train: bool = True): for _iter, (features, labels) in...