tensorflow GPU显存占满而Util为0的问题
tensorflow
一个面向所有人的开源机器学习框架
项目地址:https://gitcode.com/gh_mirrors/te/tensorflow

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问题1:Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA
解决:代码中添加
import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
问题2:Tensorflow GPU显存占满,而Util为0
解决:代码中添加
import os
os.environ["CUDA_DEVICE_ORDER"] = "PCI_BUS_ID"
os.environ["CUDA_VISIBLE_DEVICES"] = "8" //这里指定GPU8
代码中同时指定了GPU,避免了其他GPU的显存占用。
参考文章:https://blog.csdn.net/qq_24306353/article/details/79952266




一个面向所有人的开源机器学习框架
最近提交(Master分支:1 个月前 )
4f64a3d5
Instead, check for this case in `ResolveUsers` and `ResolveOperand`, by querying whether the `fused_expression_root` is part of the `HloFusionAdaptor`.
This prevents us from stepping into nested fusions.
PiperOrigin-RevId: 724311958
1 个月前
aa7e952e
Fix a bug in handling negative strides, and add a test case that exposes it.
We can have negative strides that are not just -1, e.g. with a combining
reshape.
PiperOrigin-RevId: 724293790
1 个月前
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