padeoe

🤗Huggingface Model Downloader

Note

(2025-01-08) Add feature for 🏷️Tag(Revision) Selection, contributed by @Bamboo-D.
(2024-12-17) Add feature for ⚡Quick Startup and ⏭️Fast Resume, enabling skipping of downloaded files, while removing the git clone dependency to accelerate file list retrieval.

Considering the lack of multi-threaded download support in the official huggingface-cli, and the inadequate error handling in hf_transfer, This command-line tool leverages curl and aria2c for fast and robust downloading of models and datasets.

Features

• ⏯️ Resume from breakpoint: You can re-run it or Ctrl+C anytime.

githubfoam

--------------------------------------------------------------------------
# ofed_info -s
--------------------------------------------------------------------------
Find Mellanox Adapter Type and Firmware/Driver version
ConnectX-4 card

# lspci | grep Mellanox
0a:00.0 Network controller: Mellanox Technologies MT27500 Family [ConnectX-3]
# lspci -vv -s 0a:00.0 | grep "Part number" -A 3
# lspci | grep Mellanox | awk '{print $1}' | xargs -i -r mstvpd {}

sonots

Usually, located at /usr/local/cuda/bin

Non-Visual Profiler

$ nvprof python train_mnist.py

I prefer to use --print-gpu-trace.

monkeym4ster

#for not running docker, use save:
docker save <dockernameortag> | gzip > mycontainer.tgz

#for running or paused docker, use export:
docker export <dockernameortag> | gzip > mycontainer.tgz

#load
gunzip -c mycontainer.tgz | docker load

yxlao

"""
Demostrating how to compute the gradients for convolution with:
    tf.nn.conv2d
    tf.nn.conv2d_backprop_input
    tf.nn.conv2d_backprop_filter
    tf.nn.conv2d_transpose

This is the scripts for this answer: https://stackoverflow.com/a/44350789/1255535
"""

kwmiebach

Usage

(Create a symlink pytest for py.test)

pytest [options] [file_or_dir] [file_or_dir] ...

Help:

ax3l

In general, check the crt/host_config.h file to find out which versions are supported. Sometimes it is possible to hack the requirements there to get some newer versions working, too :)

Thrust version can be found in $CUDA_ROOT/include/thrust/version.h.

Download Archives: https://developer.nvidia.com/cuda-toolkit-archive

Release notes for CUDA Toolkit (CTK):

• latest: https://docs.nvidia.com/cuda/cuda-toolkit-release-notes/index.html
• archive: https://docs.nvidia.com/cuda/archive/