python矩阵计算 gpu,Numpy是否会自动检测并使用GPU?

I have a few basic questions about using Numpy with GPU (nvidia GTX 1080 Ti). Im new to GPU, and would like to make sure Im properly using the GPU to accelerate Numpy/Python. I searched on the internet for a while, but didnt find a simple tutorial that addressed my questions. Id appreciate it if someone can give me some pointers:

1) Does Numpy/Python automatically detect the presence of GPU and utilize it to speed up matrix computation (e.g. numpy.multiply, numpy.linalg.inv, ... etc)? Or do I have code in a specific way to exploit the GPU for fast computation?

2) Can someone recommend a good tutorial/introductory material on using Numpy/Python with GPU (nvidias)?

Thanks a lot!

解决方案Does Numpy/Python automatically detect the presence of GPU and utilize

it to speed up matrix computation (e.g. numpy.multiply,

numpy.linalg.inv, ... etc)?

No.

Or do I have code in a specific way to exploit the GPU for fast

computation?

Yes. Search for Numba, CuPy, Theano, PyTorch or PyCUDA for different paradigms for accelerating Python with GPUs.

I have a few basic questions about using Numpy with GPU (nvidia GTX 1080 Ti). Im new to GPU, and would like to make sure Im properly using the GPU to accelerate Numpy/Python. I searched on the internet for a while, but didnt find a simple tutorial that addressed my questions. Id appreciate it if someone can give me some pointers: 1) Does Numpy/Python automatically detect the presence of GPU and utilize it to speed up matrix computation (e.g. numpy.multiply, numpy.linalg.inv, ... etc)? Or do I have code in a specific way to exploit the GPU for fast computation? 2) Can someone recommend a good tutorial/introductory material on using Numpy/Python with GPU (nvidias)? Thanks a lot! 解决方案Does Numpy/Python automatically detect the presence of GPU and utilize it to speed up matrix computation (e.g. numpy.multiply, numpy.linalg.inv, ... etc)? No. Or do I have code in a specific way to exploit the GPU for fast computation? Yes. Search for Numba, CuPy, Theano, PyTorch or PyCUDA for different paradigms for accelerating Python with GPUs.
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