tensorflow.python.framework.errors_impl.ResourceExhaustedError: OOM when allocating tensor with shap
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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报错:
tensorflow.python.framework.errors_impl.ResourceExhaustedError: OOM when allocating tensor with shape[64,147,147,64]
出现以上类似的错误,主要是因为模型中的batch_size值设置过大,导致内存溢出,batch_size是每次送入模型中的值,由于GPU的关系,一般设为16,32,64,128。




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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