mattbenic

using UnityEngine;
using System;
using System.Runtime.InteropServices;
using System.Text;

public class SpecificInstanceOfGameExample : MonoBehaviour
{
    #region DLL Imports
    private const string UnityWindowClassName = "UnityWndClass";

greggirwin

; Stats added by @toomasv
compare-times: func [
    blocks "Block of code blocks to performance compare"
    /count ct
    /local t n baseline res blk stats1 memory time code template
][
    ct: any [ct 1]
    t: now/time/precise
    loop ct [do []]
    baseline: now/time/precise - t

peteflorence

Here's a simple implementation of bilinear interpolation on tensors using PyTorch.

I wrote this up since I ended up learning a lot about options for interpolation in both the numpy and PyTorch ecosystems. More generally than just interpolation, too, it's also a nice case study in how PyTorch magically can put very numpy-like code on the GPU (and by the way, do autodiff for you too).

For interpolation in PyTorch, this open issue calls for more interpolation features. There is now a nn.functional.grid_sample() feature but at least at first this didn't look like what I needed (but we'll come back to this later).

In particular I wanted to take an image, W x H x C, and sample it many times at different random locations. Note also that this is different than upsampling which exhaustively samples and also doesn't give us fle

Split82

Shader "Name" {

    Properties {

        _Name ("display name", Range (min, max)) = number
        _Name ("display name", Float) = number
        _Name ("display name", Int) = number
        _Name ("display name", Color) = (number,number,number,number)
        _Name ("display name", Vector) = (number,number,number,number)