Hi Nvidia Team,
I want to install torch gpu on Jetson Nano for Python 3.7.
Is there any reference available for the same? Whether torch gpu on Jetson nano for pytorch 3.7 is supported?
Thanks,
Darshan
There is a pinned topic for your situation:
Below are pre-built PyTorch pip wheel installers for Jetson Nano, TX1/TX2, Xavier, and Orin with JetPack 4.2 and newer.
Download one of the PyTorch binaries from below for your version of JetPack, and see the installation instructions to run on your Jetson. These pip wheels are built for ARM aarch64 architecture, so run these commands on your Jetson (not on a host PC). You can also use the pre-built l4t-pytorch and l4t-ml container images and Dockerfiles .
PyTorch pip wheels
JetPack 5
PyTo…
In this post, there are installation steps and Docker images about PyTorch.
Best wishes
Yes, you will need to build it from source for Python 3.7. There are others on that topic that have done the same. Here is also a topic about building it for 3.8, I think 3.7 should be similar.
I would like to install PyTorch with Python 3.8 on Jetpack 4.4.1. Unfortunately I ran into the following problem while building PyTorch from source:
[ 76%] Building NVCC (Device) object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/torch_cuda_generated_DistributionCauchyKernel.cu.o
/home/xavier/pytorch/c10/cuda/CUDAMathCompat.h: In static member function ‘static scalar_t at::native::copysign_kernel_cuda(at::TensorIterator&)::<lambda()>::<lambda()>::<lambda(scalar_t, scalar_t)>::…