Closed jacobunderlinebenseal closed 1 year ago
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您好!XPU是有专属Place的:paddle.device.XPUPlace
, 参考https://www.paddlepaddle.org.cn/documentation/docs/zh/api/paddle/device/XPUPlace_cn.html#xpuplace
您可以使用pd.to_tensor(x, dtype='float32', place=pd.device.XPUPlace(0))
来创建新tensor
您可以使用
pd.to_tensor(x, dtype='float32', place=pd.device.XPUPlace(0))
来创建新tensor
您好,这样会报错,提示place只能是cpuplace和cudaplace或cudpinnedplace
那请问您是否有安装XPU版本的Paddle呢?如若没有,您可以尝试通过pip install paddlepaddle-xpu
命令来进行安装,或参考如下教程:https://www.paddlepaddle.org.cn/documentation/docs/zh/develop/guides/09_hardware_support/xpu_docs/paddle_install_cn.html
Since you haven\'t replied for more than a year, we have closed this issue/pr. If the problem is not solved or there is a follow-up one, please reopen it at any time and we will continue to follow up. 由于您超过一年未回复,我们将关闭这个issue/pr。 若问题未解决或有后续问题,请随时重新打开,我们会继续跟进。
使用to_tensor创建,place只能是cpuplace和cudaplace,xpuplace就抱错。 paddlepaddle 2.1.1 python3.7.10 使用的kunlun的卡