svaniksharma

#include "ggml-cpu.h"
#include "ggml.h"
#include <iostream>

void print_tensor(struct ggml_tensor *tensor) {
  for (size_t i = 0; i < tensor->ne[3]; i++) {
    for (size_t k = 0; k < tensor->ne[2]; k++) {
      for (size_t j = 0; j < tensor->ne[1]; j++) {
        for (size_t l = 0; l < tensor->ne[0]; l++) {
          std::cout << ggml_get_i32_nd(tensor, l, j, k, i) << " ";

svaniksharma

const std = @import("std");
const mem = std.mem;
const meta = std.meta;
const math = std.math;
const Vector = meta.Vector;
const expect = std.testing.expect;

fn generateSquareMatrix(N: usize, allocator: mem.Allocator, gen_rand: bool) ![][]f64 {
    var matrix: [][]f64 = undefined;
    matrix = try allocator.alloc([]f64, N);

kconner

macOS Internals

Understand your Mac and iPhone more deeply by tracing the evolution of Mac OS X from prelease to Swift. John Siracusa delivers the details.

Starting Points

How to use this gist

You've got two main options:

moyix

#!/usr/bin/env python

import subprocess
import re
import sys

def get_init_array(filename):
    # Call objdump -s -j .init_array <filename> to get the contents of the .init_array section
    try:
        objdump_output = subprocess.check_output(['objdump', '-s', '-j', '.init_array', filename], stderr=subprocess.STDOUT)

karpathy

"""
stable diffusion dreaming
creates hypnotic moving videos by smoothly walking randomly through the sample space

example way to run this script:

$ python stablediffusionwalk.py --prompt "blueberry spaghetti" --name blueberry

to stitch together the images, e.g.:
$ ffmpeg -r 10 -f image2 -s 512x512 -i blueberry/frame%06d.jpg -vcodec libx264 -crf 10 -pix_fmt yuv420p blueberry.mp4

ianmackinnon

# gcc -Wall -o match match.c && ./match
#


#include <stdio.h>
#include <string.h>
#include <regex.h>