ShigekiKarita

import chainer
import torch

import lm_train
import lm_train_th

def transfer_lstm(ch_lstm, th_lstm):
    th_lstm.weight_ih.data = torch.from_numpy(ch_lstm.upward.W.data)
    th_lstm.bias_ih.data = torch.from_numpy(ch_lstm.upward.b.data)
    th_lstm.weight_hh.data = torch.from_numpy(ch_lstm.lateral.W.data)

ShigekiKarita

import numpy
import torch
import torch.nn.functional as F
from torch.autograd import Variable

tiny = float(numpy.finfo(numpy.float32).tiny)

def safe_cumprod(x, dim):
    return x.clamp(tiny, 1.0).log().cumsum(dim=dim).exp();

ShigekiKarita

@import url(http://fonts.googleapis.com/css?family=Droid+Sans|Droid+Sans+Mono|Droid+Serif);

@media all
{
    html {
	margin: 0;
	font: .9em/1.6em "Droid Serif", Cambria, Georgia, "DejaVu Serif", serif;
	background-attachment: fixed;
	background-position: right bottom;
	background-repeat: no-repeat;

ShigekiKarita

#include <iostream>
#include <thrust/device_vector.h>
#include <cooperative_groups.h>

namespace cg = cooperative_groups;

// using DataType = float;
// using DataType4 = float4;
using DataType = int;
using DataType4 = int4;

ShigekiKarita

(setq org-latex-classes '(("ltjsarticle"
            "\\documentclass{ltjsarticle}
\\usepackage{url}
\\usepackage{amsmath}
\\usepackage{newtxtext,newtxmath}
\\usepackage{graphicx}
\\usepackage{luatexja}
\\usepackage{hyperref}
 [NO-DEFAULT-PACKAGES]
 [PACKAGES]

ShigekiKarita

%matplotlib notebook
from matplotlib import pyplot
import torch
import math
import numpy

from torch.nn import Parameter, Module

def dirichlet_log_pdf(pi, alpha):
    numel = torch.lgamma(alpha.sum(0)) + torch.sum(torch.log(pi) * (alpha - 1.0))

ShigekiKarita

#include <algorithm>
#include <functional>
#include <iostream>
#include <fstream>
#include <unordered_map>
#include <vector>

// byte array
using Memory = std::vector<unsigned char>;
using Pointer = Memory::iterator;

ShigekiKarita

(setq org-latex-classes '(("ltjsarticle"
            "\\documentclass{ltjsarticle}
\\usepackage{url}
\\usepackage{amsmath}
\\usepackage{newtxtext,newtxmath}
\\usepackage{graphicx}
\\usepackage{luatexja}
\\usepackage{hyperref}
 [NO-DEFAULT-PACKAGES]
 [PACKAGES]

ShigekiKarita

/++
This is a submodule of numir to provide formatting for ndslices.
Note: This relies on the formatting functionality from Phobos, the D standard
library. As of this writing, parts of it rely on the Garbage Collector and
potentially other non-Better C functionality in D.
+/
module numir.format;

import mir.ndslice : SliceKind, Slice;
import std.traits : isSomeChar, isSomeString;

ShigekiKarita

/* library code */


/++
 Referrence:
 - https://en.wikipedia.org/wiki/Dijkstra%27s_algorithm#Using_a_priority_queue
 - http://shifth.hatenablog.com/entry/2015/05/31/104829
 +/
auto dijkstra(alias distfun, E, V)(E[V[2]] tree, V start) {
    import std.container : Array, PriorityQueue = BinaryHeap;