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。


GitHub 加速计划 / te / tensorflow
21
4
下载
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
Logo

旨在为数千万中国开发者提供一个无缝且高效的云端环境,以支持学习、使用和贡献开源项目。

更多推荐