【发布时间】：2022-01-28 06:33:23
【问题描述】：
我知道有人问过类似的问题，但那是针对 conda 环境的。 我正在为 python 3.7.10、3.8.9 运行非 conda 环境 我从https://download.pytorch.org/whl/torch_stable.html得到了轮子文件
这是尝试多个版本后的错误。
pip install torch-1.1.0-cp37-cp37m-linux_x86_64.whl
ERROR: torch-1.1.0-cp37-cp37m-linux_x86_64.whl is not a supported wheel on this platform.
pip install torch-1.0.1.post2-cp37-cp37m-linux_x86_64.whl
ERROR: torch-1.0.1.post2-cp37-cp37m-linux_x86_64.whl is not a supported wheel on this platform.
pip install torch-1.7.0+cu92-cp38-cp38-linux_x86_64.whl
ERROR: torch-1.7.0+cu92-cp38-cp38-linux_x86_64.whl is not a supported wheel on this platform.
pip install torch-1.7.1+cu92-cp39-cp39-linux_x86_64.whl
ERROR: torch-1.7.1+cu92-cp39-cp39-linux_x86_64.whl is not a supported wheel on this platform.
pip install torch-1.7.1+cpu-cp39-cp39-linux_x86_64.whl
ERROR: torch-1.7.1+cpu-cp39-cp39-linux_x86_64.whl is not a supported wheel on this platform.
这是我的 python 版本，我尝试过 python 3.7 和 3.8 虚拟环境
python3
Python 3.8.9 (default, Apr 3 2021, 01:02:10)
[GCC 5.4.0 20160609] on linux
Type "help", "copyright", "credits" or "license" for more information.
Python 3.7.10 (default, Feb 20 2021, 21:21:24)
[GCC 5.4.0 20160609] on linux
Type "help", "copyright", "credits" or "license" for more information.
我的系统
DJI Manifold 2
NVIDIA Jetson TX2
ARMv8 Processor rev 3 (v8l) × 4 ARMv8 Processor rev 0 (v8l) × 2
NVIDIA Tegra X2 (nvgpu)/integrated
64-bit
我根据 deviceQuery 的输出安装了 CUDA 9
/usr/local/cuda/samples/1_Utilities/deviceQuery$ ./deviceQuery
./deviceQuery Starting...
CUDA Device Query (Runtime API) version (CUDART static linking)
Detected 1 CUDA Capable device(s)
Device 0: "NVIDIA Tegra X2"
CUDA Driver Version / Runtime Version 9.0 / 9.0
CUDA Capability Major/Minor version number: 6.2
Total amount of global memory: 7839 MBytes (8219348992 bytes)
( 2) Multiprocessors, (128) CUDA Cores/MP: 256 CUDA Cores
GPU Max Clock rate: 1301 MHz (1.30 GHz)
Memory Clock rate: 1600 Mhz
Memory Bus Width: 128-bit
L2 Cache Size: 524288 bytes
Maximum Texture Dimension Size (x,y,z) 1D=(131072), 2D=(131072, 65536), 3D=(16384, 16384, 16384)
Maximum Layered 1D Texture Size, (num) layers 1D=(32768), 2048 layers
Maximum Layered 2D Texture Size, (num) layers 2D=(32768, 32768), 2048 layers
Total amount of constant memory: 65536 bytes
Total amount of shared memory per block: 49152 bytes
Total number of registers available per block: 32768
Warp size: 32
Maximum number of threads per multiprocessor: 2048
Maximum number of threads per block: 1024
Max dimension size of a thread block (x,y,z): (1024, 1024, 64)
Max dimension size of a grid size (x,y,z): (2147483647, 65535, 65535)
Maximum memory pitch: 2147483647 bytes
Texture alignment: 512 bytes
Concurrent copy and kernel execution: Yes with 1 copy engine(s)
Run time limit on kernels: No
Integrated GPU sharing Host Memory: Yes
Support host page-locked memory mapping: Yes
Alignment requirement for Surfaces: Yes
Device has ECC support: Disabled
Device supports Unified Addressing (UVA): Yes
Supports Cooperative Kernel Launch: Yes
Supports MultiDevice Co-op Kernel Launch: Yes
Device PCI Domain ID / Bus ID / location ID: 0 / 0 / 0
Compute Mode:
< Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >
deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 9.0, CUDA Runtime Version = 9.0, NumDevs = 1
Result = PASS
来自nvcc –version的输出
nvcc --version
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2017 NVIDIA Corporation
Built on Sun_Nov_19_03:16:56_CST_2017
Cuda compilation tools, release 9.0, V9.0.252
“head -n 1 /etc/nv_tegra_release”的输出
“head -n 1 /etc/nv_tegra_release
# R28 (release), REVISION: 2.1, GCID: 11272647, BOARD: t186ref, EABI: aarch64, DATE: Thu May 17 07:29:06 UTC 2018
我看过的链接，但没有用
【问题讨论】：
-
显然
x86_64/AMD64软件包（即 64 位 Intel）不会安装在 ARM 系统上。您可能不得不接受 ARM CUDA 构建不存在，除非您的 SDK 供应商或 NVIDIA 分发了一个，如果他们不分发，那么您可能必须自己交叉编译一个 -
@talonmies hm 是的，我必须联系 dji 的支持人员。不幸的是，这似乎不是一个常用的平台，他们也对 tx2 进行了修改。我将尝试再次搜索用户手册，看看我是否可以取得任何进展。对任何使用这个东西的人都会有帮助
标签： python ubuntu pytorch torch dji-sdk