t-sin

ARMv6 assembly language study

to run

on Raspberry PI (Raspbian)

as -o test.o test.s && ld -o test test.o && ./test

on x86 Ubuntu

imenurok

#!/usr/bin/env python
# -*- coding: utf-8 -*-

import math
import random
import chainer
import chainer.functions as F
import chainer.links as L
import numpy as np
from chainer import reporter

ksasao

import numpy as np
import random
import math
import cv2
from PIL import Image
import sys

def detect_markers(im):
 markers = []
 # 輪郭線抽出のための二値化

ufcpp

using System;

static class Program
{
    static void M(Action<int> a)
    {
        a(10);
    }

    static void Main()

asimshankar

Training TensorFlow models in C

Python is the primary language in which TensorFlow models are typically developed and trained. TensorFlow does have bindings for other programming languages. These bindings have the low-level primitives that are required to build a more complete API, however, lack much of the higher-level API richness of the Python bindings, particularly for defining the model structure.

This gist demonstrates taking a model (a TensorFlow graph) created by a Python program and running the training loop in a C program.

The model

ufcpp

using System;
using System.Runtime.InteropServices;

class X { }
class Y { }

public class Program
{
    static void Main()
    {

ufcpp

using System;

// https://gist.github.com/AArnott/d285feef75c18f6ecd2b と同種の最適化、デリゲートの引数変換にも使えそうという話。
static class DelegateAdapter
{
    // こっちだと、action をフィールドに持つクラスが1個作られて、
    // var temp = new その匿名クラス();
    // new Action(temp.Method);
    // みたいなコードになる。
    public static Action<int> ConvertSlow(Action<Alias> action) => x => action(new Alias(x));

kokeiro001

using System;
using System.Diagnostics;
using System.Drawing;
using System.IO;
using System.Linq;
using System.Threading.Tasks;

namespace FfmpegPipeSandbox
{
    class Program

ufcpp

using System;
using System.Runtime.InteropServices;
using System.Threading.Tasks;

interface ICovariant<T> // Task<T> とか (bool, T) を含むので out は付けれない
    where T : class
{
    T A();
    Task<T> B();
    (bool, T) C();

ufcpp

using System;
using System.Runtime.InteropServices;

class Base { }
class Derived : Base
{
    // 1個や2個だと「たまたま0詰め」な領域を指すかもしれないので無駄にたくさんフィールド並べる
    public long A { get; }
    public long B { get; }
    public long C { get; }