torchsort 安装相关的坑

GitHub - teddykoker/torchsort: Fast, differentiable sorting and ranking in PyTorch
torchsort · PyPI
当前安装版本 - 最新版本 - 0.1.9

安装nvcc
torchsort安装时，会检查cuda_toolkit_available。实质是检查nvcc代码是否能运行。所以需要安装nvcc，不然cuda的数据无法排序。

#!/usr/bin/env python3

import os
import sys
from functools import lru_cache
from subprocess import DEVNULL, call

import torch
from setuptools import setup
from torch.utils import cpp_extension


@lru_cache(None)
def cuda_toolkit_available():
    # https://github.com/idiap/fast-transformers/blob/master/setup.py
    try:
        call(["nvcc"], stdout=DEVNULL, stderr=DEVNULL)
        return True
    except FileNotFoundError:
        return False

conda安装torchsort

# 官网说是9.4但是这个版本已经用不了，gcc++的版本需要nvcc兼容。我不加版本时默认安装的版本是14，结果提示不支持13之后的版本。所以改为了13。
# Install g++ with conda 
conda install -c conda-forge gxx_linux-64=13 
# 如果没有设置环境路径则是/path/to/miniconda3/bin/x86_64-conda_cos6-linux-gnu-g++
export CXX=/path/to/miniconda3/envs/env_name/bin/x86_64-conda_cos6-linux-gnu-g++
# 如果没有设置环境路径则是/path/to/miniconda3/lib
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/path/to/miniconda3/lib
pip install --force-reinstall --no-cache-dir --no-deps torchsort

whl包安装torchsort

# torchsort version, supports >= 0.1.9
export TORCHSORT=0.1.9
# PyTorch version, supports pt21, pt20, and pt113 for versions 2.1, 2.0, and 1.13 respectively
export TORCH=pt21
# CUDA version, supports cpu, cu113, cu117, cu118, and cu121 for CPU-only, CUDA 11.3, CUDA 11.7,
# CUDA 11.8 and CUDA 12.1 respectively
export CUDA=cu121
# Python version, supports cp310 and cp311 for versions 3.10 and 3.11 respectively
export PYTHON=cp310

pip install https://github.com/teddykoker/torchsort/releases/download/v${TORCHSORT}/torchsort-${TORCHSORT}+${TORCH}${CUDA}-${PYTHON}-${PYTHON}-linux_x86_64.whl

torchsort==0.1.9下载列表

torchsort 安装相关的坑

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