5. 安装deepspeed库 现在,你已经处于正确的conda环境中,可以安装deepspeed库了。在命令行中输入以下命令来从conda的deepspeed频道安装deepspeed: bash conda install -c deepspeed deepspeed 这个命令会从deepspeed的conda频道下载并安装deepspeed库及其依赖项。 完成 完成以上步骤后,你应该已经成功使用conda安装了deepspeed库...
File"<string>", line2,in<module>File"<pip-setuptools-caller>", line34,in<module>File"/tmp/pip-install-dau7qb6n/deepspeed_09ce1e6647ff4db9be233fc65e5f4b88/setup.py", line100,in<module>cuda_major_ver, cuda_minor_ver=installed_cuda_version() File"/tmp/pip-install-dau7qb6n/deepspeed_...
Under WIndows and without WSL I have successfully compiled deepspeed (deepspeed-0.9.3+unknown-cp310-cp310-win_amd64.whl). So how to install this specific file it in the current conda environment to be able to use the command "deepspeed --num_gpus=1 server.py --deepspeed --chat --model...
Install Ops={'deepspeed_not_implemented': 1, 'deepspeed_ccl_comm': 1, 'cpu_adam': 1, 'fused_adam': 1} version=0.14.1, git_hash=60ce579, git_branch=HEAD install_requires=['hjson', 'ninja', 'numpy', 'packaging>=20.0', 'psutil', 'py-cpuinfo', 'pydantic', 'pynvml', 'torch',...
4. deepspeed 出错。...如果在微调模型时出现以下错误: FAILED: cpu_adam.so /usr/bin/ld: cannot find -lcurand 这个错误是由于安装 deepspeed 时软链接错误引起的。 5200 win10下vs2015+python3+theano+keras+cuda8.0安装教程 如何查看已安装的库打开 Anaconda Command Prompt ,在命令提示符窗口中输入以下命令...
如果系统中存在多个不同的Python版本,可能有多个结果,我们需要查找哪个有_sysconfigdata_x86_64_conda_cos6_linux_gnu.py但是没有 对应的_sysconfigdata_x86_64_conda_linux_gnu.py。 一种更简便地策略是先查看自己使用的是哪个Python,路径来自哪里。比如说我们这里是conda报错, 那肯定对应着相应的环境,如果是base...
(pytorch) devil@Monster:~$ pipinstalldeepspeed Collecting deepspeed Using cached deepspeed-0.12.4.tar.gz (1.2MB) Preparing metadata (setup.py) ... error error: subprocess-exited-with-error × python setup.py egg_info did not run successfully. ...
from .cpu_adam import DeepSpeedCPUAdam File "/private/var/folders/ns/sfzfbcd16d19rky4mtm4gpbm0000gn/T/pip-install-kh4sm3zu/deepspeed_bc874f9bbb254ac2828ec64473cc4372/deepspeed/ops/adam/cpu_adam.py", line 7, in from cpuinfo import get_cpu_info ...
Here is how to install the conda's libaio and pre-build deepspeed with it: # activate your conda env if need be, which sets CONDA_PREFIX env var. conda activate your-env-name # install libaio conda install libaio # pre-build deepspeed CFLAGS="-I$CONDA_PREFIX/include/" LDFLAGS="-L$CON...
Double check that rpath solution to DeepSpeed dynamic linking to libaio is working. Kinda. Still need to do this at runtime: CFLAGS="-I${CONDA_PREFIX}/include/" LDFLAGS="-L${CONDA_PREFIX}/lib/" ds_report, presumably because of the JITing? How will this work for users in practice? Wh...