edgarriba

import torch
import numpy as np

import pickle

f = open('/home/eriba/software/pytorch/examples-edgarriba/triplet/nan_test.pkl', 'rb')

data = pickle.load(f)

a = torch.from_numpy(data['a']).cuda()

tokestermw

""" 
Play with saving .

Closest:
    https://github.com/tensorflow/tensorflow/issues/616#issuecomment-205620223
"""
import numpy as np

import tensorflow as tf
from tensorflow.python.platform import gfile

apaszke

from graphviz import Digraph
import torch
from torch.autograd import Variable, Function

def iter_graph(root, callback):
    queue = [root]
    seen = set()
    while queue:
        fn = queue.pop()
        if fn in seen:

randomsequence

//
// Thanks Kevin!
// https://gist.github.com/SheffieldKevin/566dc048dd6f36716bcd
//

import CoreGraphics
import CoreImage

extension CGImage {
    

nicolas-miari

import Foundation
import CoreImage

/**
 Based on: https://gist.github.com/SheffieldKevin/566dc048dd6f36716bcd
 Updated for Swift 5.5 (Xcode 13)
 */
class ImageDiff {

  func compare(leftImage: CGImage, rightImage: CGImage) throws -> Int {

bouroo

/**
 * Cloudflare Worker for Server-Sent Events (SSE)
 *
 * This worker demonstrates how to set up an SSE endpoint
 * that sends an initial message and then periodic updates.
 */

// Listen for incoming requests
addEventListener('fetch', event => {
  event.respondWith(handleRequest(event.request));