unnonouno

digits = Capture(r"\d+", int)
date = Seq(
    (digits, "/", digits, "/", digits),
    lambda year, _1, month, _2, day: datetime.date(year, month, day),
)
date_time = Seq(
    (digits, "/", digits, "/", digits, " ", digits, ":", digits),
    lambda year, _1, month, _2, day, _3, hour, _4, minute: datetime.datetime(year, month, day, hour, minute),
)
span = Seq(((date | date_time), "-", (date | date_time)), lambda begin, _, end: (begin, end))

unnonouno

import cupy as xp
import cupy.prof

import chainer
from chainer.functions.activation import lstm

B = 1024
D = 2048
x_shape = (B, D * 4)
c_shape = (B, D)

unnonouno

import sys

import numpy


if __name__ == '__main__':
    with numpy.load(sys.argv[1]) as f:
        print(f.keys())

unnonouno

unnonouno

import contextlib
import time

import chainer
import chainer.functions as F
import cupy


@contextlib.contextmanager
def timer(message):

unnonouno

import numpy

import chainer
import chainer.functions as F
import chainer.links as L


class LongChain(chainer.Chain):
    def __init__(self):
        super(LongChain, self).__init__()

unnonouno

def StatefullRNNUnit(chainer.Chain):
  def StatefullRNNUnit(self, rnn):
    self.rnn = rnn
    self.state = (None,) * rnn.n_state
    
  def __call__(x):
    args = self.state + (x,)
    ret = self.rnn(*args)
    self.state = ret[:-1]
    return ret[-1]

unnonouno

import chainer
from chainer import cuda
import cupy
import numpy
import time

ls = numpy.random.randint(1, 100, size=1000)
ls = numpy.sort(ls)[::-1]
unit = 100
xs = [cupy.empty((l, unit), 'f') for l in ls]

unnonouno

import chainer
from chainer import cuda
import chainer.functions as F
import chainer.links as L
import chainer.optimizers as O
import cupy
import numpy


class MyModel(chainer.Chain):

unnonouno

• ドキュメントの品質改善
  • ドキュメントのクオリティーを上げてください。現状のドキュメントは必ずしも品質が良いとはいえません。読みやすい英語、詳細な仕様など、改善点はたくさんあります。
• CuPyの関数充実
  • 606, 602, 677, 701
  • CuPyの関数はNumPyの一部しか実装されていません。elementwiseやreductionでかける関数は、比較的低コストで実装できます
• テスト充実
  • 569, 568
  • 一部のモジュールはテストがかけています。テストの充実は品質向上に役立つ上に、コードの理解につながります
• Chainer.functionsの追加
• 1160, 1133, 1085, 1027, 945