在安装有 GPU 的机器上调用 paddle.device.get_available_device() 返回空列表,这个情况文档中没有描述。
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PaddlePaddle custom device implementaion. (『飞桨』自定义硬件接入实现) - PaddlePaddle/PaddleCustomDevice
In a paddle type developing device, there is provided a developing device that achieves both excellent resolution and suppression of pattern collapse and appearance defects by enabling effective stirring inside the accumulated developer. The task is to do. A paddle-type developing device having a ...
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1 paddle::platform::EnforceNotMet::EnforceNotMet(std::__exception_ptr::exception_ptr, char const*, int) 2 paddle::platform::GetCUDADeviceCount() Error Message Summary: PaddleCheckError: cudaGetDeviceCount failed in paddle::platform::GetCUDADeviceCountImpl, error code : 3, Please see detail in...
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paddlepaddle使用gpu训练提示cudaErrorInvalidDeviceFunction paddle加载模型,导读深度学习中模型的计算图可以被分为两种,静态图和动态图,这两种模型的计算图各有优劣。静态图需要我们先定义好网络的结构,然后再进行计算,所以静态图的计算速度快,但是debug比较的困难