laksjdjf

================================================================================================================================================================
Layer (type (var_name))                                      Input Shape               Output Shape              Param #                   Kernel Shape
================================================================================================================================================================
SdxlUNet2DConditionModel (SdxlUNet2DConditionModel)          [1, 4, 128, 128]          [1, 4, 128, 128]          --                        --
├─Sequential (time_embed)                                    [1, 320]                  [1, 1280]                 --                        --
│    └─Linear (0)                                            [1, 320]                  [1, 1280]                 410,880                   --
│    └─SiLU (1)                                              [1, 1280]                 [1, 1280]                 --         

johnowhitaker

import trafilatura
import feedparser
import requests
from bs4 import BeautifulSoup
from feedgenerator import DefaultFeed, Enclosure


API_URL = "https://api-inference.huggingface.co/models/facebook/bart-large-cnn"
headers = {"Authorization": "Bearer HF_TOKEN"}

xen

# implementation of Telegram site authorization checking algorithm
# for more information https://core.telegram.org/widgets/login#checking-authorization

import collections
import hmac
import hashlib

def check_string(d, token):
    secret = hashlib.sha256()
    secret.update(token.encode('utf-8'))

MLnick

import spark.SparkContext
import SparkContext._

/**
 * A port of [[http://blog.echen.me/2012/02/09/movie-recommendations-and-more-via-mapreduce-and-scalding/]]
 * to Spark.
 * Uses movie ratings data from MovieLens 100k dataset found at [[http://www.grouplens.org/node/73]]
 */
object MovieSimilarities {

jboner

Latency Comparison Numbers (~2012)
----------------------------------
L1 cache reference                           0.5 ns
Branch mispredict                            5   ns
L2 cache reference                           7   ns                      14x L1 cache
Mutex lock/unlock                           25   ns
Main memory reference                      100   ns                      20x L2 cache, 200x L1 cache
Compress 1K bytes with Zippy             3,000   ns        3 us
Send 1K bytes over 1 Gbps network       10,000   ns       10 us
Read 4K randomly from SSD*             150,000   ns      150 us          ~1GB/sec SSD