awni

# Requires:
# pip install pyobjc-framework-Metal
import numpy as np
import Metal

# Get the default GPU device
device = Metal.MTLCreateSystemDefaultDevice()

# Make a command queue to encode command buffers to
command_queue = device.newCommandQueue()

awni

wilderlopes

List of terminal-based developer tools that deliver value in 30 seconds

• miniogre: from source code to reproducible envionments, in seconds
  • pip install miniogre
  • Go to project folder
  • Run miniogre run
• freeze: generate images of code and terminal output
  • brew install charmbracelet/tap/freeze
  • freeze --execute "ls -ltra"
• uv: An extremely fast Python package installer and resolver, written in Rust

rafaelrc7

######################### Preamble ###########################################
SHELL := bash
.ONESHELL:
.SHELLFLAGS := -eu -o pipefail -c
.DELETE_ON_ERROR:
.SECONDEXPANSION:
.EXTRA_PREREQS := $(MAKEFILE_LIST)
MAKEFLAGS += --warn-undefined-variables
MAKEFLAGS += --no-builtin-rules
MAKEFLAGS += -j$(shell nproc)

lewtun

# This is a modified version of TRL's `SFTTrainer` example (https://github.com/huggingface/trl/blob/main/examples/scripts/sft_trainer.py), 
# adapted to run with DeepSpeed ZeRO-3 and Mistral-7B-V1.0. The settings below were run on 1 node of 8 x A100 (80GB) GPUs.
#
# Usage:
#   - Install the latest transformers & accelerate versions: `pip install -U transformers accelerate`
#   - Install deepspeed: `pip install deepspeed==0.9.5`
#   - Install TRL from main: pip install git+https://github.com/huggingface/trl.git
#   - Clone the repo: git clone github.com/huggingface/trl.git
#   - Copy this Gist into trl/examples/scripts
#   - Run from root of trl repo with: accelerate launch --config_file=examples/accelerate_configs/deepspeed_zero3.yaml --gradient_accumulation_steps 8 examples/scripts/sft_trainer.py  

seddonm1

On an Orin NX 16G the memory was too low to compile and the SWAP file had to be increased.

/etc/systemd/nvzramconfig.sh
change:

```
# Calculate memory to use for zram (1/2 of ram)
totalmem=`LC_ALL=C free | grep -e "^Mem:" | sed -e 's/^Mem: *//' -e 's/  *.*//'`
mem=$((("${totalmem}" / 2 / "${NRDEVICES}") * 1024))
```

sorny

X11 forwarding on macOS and docker

A quick guide on how to setup X11 forwarding on macOS when using docker containers requiring a DISPLAY. Works on both Intel and M1 macs!

This guide was tested on:

• macOS Catalina 10.15.4
• docker desktop 2.2.0.5 (43884) - stable release
• XQuartz 2.7.11 (xorg-server 1.18.4)
• Macbook Pro (Intel)

mblondel

# Authors: Mathieu Blondel, Vlad Niculae
# License: BSD 3 clause

import numpy as np


def _gen_pairs(gen, max_iter, max_inner, random_state, verbose):
    rng = np.random.RandomState(random_state)

    # if tuple, interpret as randn

JerryLokjianming

---

How to Crack Sublime Text 3.2.2 Build 3211 with Hex Editor (Windows | Without License) ↓

1. Download & Install Sublime Text 3.2.2 Build 3211
2. Visit https://hexed.it/
3. Open file select sublime_text.exe
4. Offset 0x8545: Original 84 -> 85
5. Offset 0x08FF19: Original 75 -> EB
6. Offset 0x1932C7: Original 75 -> 74 (remove UNREGISTERED in title bar, so no need to use a license)

nadavrot

High-Performance Matrix Multiplication

This is a short post that explains how to write a high-performance matrix multiplication program on modern processors. In this tutorial I will use a single core of the Skylake-client CPU with AVX2, but the principles in this post also apply to other processors with different instruction sets (such as AVX512).

Intro

Matrix multiplication is a mathematical operation that defines the product of