我可以在GPU上运行包含季节性代码的jupyter笔记本吗? [英] Can I run my jupyter notebook that contains seaborn code on GPU?

问题描述

我的系统中有兼容CUDA的GPU(Nvidia GeForce 1060).在分析更大的数据集时，我经常不得不使用seaborn库的对图函数，这会花费大量时间.有没有办法可以在GPU上运行我的整个笔记本.我的意思是，除了seaborn之外，我想在GPU上运行所有代码，这可能吗?

I have CUDA compatible GPU (Nvidia GeForce 1060) in my system. While analyzing a bigger dataset, I often have to use pair plot function of the seaborn library, it consumes a lot of time. Is there a way I can run my entire notebook on GPU. I mean, apart from seaborn, I want to run all of my code on GPU, is it possible?

我在YouTube上观看了几段建议使用numba python编译器和jit批注的视频，我想知道是否存在可以应用于anaconda框架的通用设置，因此无论我在anaconda上运行什么，都应该利用GPU.

I have watched a couple of videos on youtube that advises using numba python compiler and jit annotations, I want to know whether there is a generic setting that can be applied to to the anaconda framework so that, whatever I run on anaconda should utilize GPU.

我知道tensorflow和keras可以在GPU上运行.

I am aware that tensorflow and keras can be run on GPU.

推荐答案

有没有一种方法可以在GPU上运行我的整个笔记本.我的意思是，除了seaborn之外，我想在GPU上运行所有代码，这有可能吗?

Is there a way I can run my entire notebook on GPU. I mean, apart from seaborn, I want to run all of my code on GPU, is it possible?

总之，没有没有.无法在GPU上运行通用Python代码或库.

In a word, no there is not. There is no way to run generic Python code or libraries on the GPU.

我知道tensorflow和keras可以在GPU上运行.

I am aware that tensorflow and keras can be run on GPU.

tensorflow和keras都不能在GPU上运行".他们可以使用GPU加速部分计算，但是该过程并不涉及在GPU上运行一行Python.

Neither tensorflow nor keras can be "run on" a GPU. They can accelerate parts of their computations with GPUs, but that process doesn't involve running a single line of Python on the GPU.

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