MannyKayy

# mouse-mode
set-window-option -g mode-mouse on
set-option -g mouse-resize-pane on
set-option -g mouse-select-pane on
set-option -g mouse-select-window on

# toggle mouse mode to allow mouse copy/paste
# set mouse on with prefix m
bind m \
    set -g mode-mouse on \;\

MannyKayy

# mouse-mode
set-window-option -g mode-mouse on
set-option -g mouse-resize-pane on
set-option -g mouse-select-pane on
set-option -g mouse-select-window on

# toggle mouse mode to allow mouse copy/paste
# set mouse on with prefix m
bind m \
    set -g mode-mouse on \;\

MannyKayy

import argparse

import chainer
import chainer.functions as F
import chainer.links as L
from chainer import training
from chainer.training import extensions
import chainerx
import numpy
from chainer.dataset import concat_examples

MannyKayy

# Many Python libraries provide low-level CUDA support, but when it comes to interoperability 
# things get complicated. This script shows a simple example on converting a CUDA stream 
# created from CuPy's API to one that is compatible with Numba.


from numba import cuda
import cupy as cp


def stream_cupy_to_numba(cp_stream):

MannyKayy

1 	"Once you have their money, you never give it back." 	"The Nagus" (DS9 episode)
2 	"The best deal is the one that makes the most profit." 	The 34th Rule (DS9 novel)
3 	"Never spend more for an acquisition than you have to." 	"The Maquis, Part II" (DS9 episode)
4 	"A woman wearing clothes is like a man in the kitchen." 	The Ferengi Rules of Acquisition (DS9 novel)
5 	"Always exaggerate your estimates." 	Cold Fusion (SCE novel)
6 	"Never let family stand in the way of opportunity." 	"The Nagus" (DS9 episode)
7 	"Always keep your ears open." 	"In the Hands of the Prophets" (DS9 episode)
8 	"Small print leads to large risk." 	The Ferengi Rules of Acquisition (DS9 novel)
9 	"Instinct, plus opportunity, equals profit." 	"The Storyteller" (DS9 episode)
10 	"Greed is eternal." 	"Prophet Motive" (VOY episode)

MannyKayy

from math import cos, pi

import numpy

from chainer.training import extension

class CosineAnnealing(extension.Extension):
    def __init__(self, lr_max, lr_min=0, T_0=1, T_mult=2,
                 optimizer=None):
        super(CosineAnnealing, self).__init__()

MannyKayy

from math import cos, pi

import numpy

from chainer.training import extension

class CosineAnnealing(extension.Extension):
    def __init__(self, lr_max, lr_min=0, T_0=1, T_mult=2,
                 optimizer=None):
        super(CosineAnnealing, self).__init__()

MannyKayy

# Reference
# https://docs.chainer.org/en/stable/guides/functions.html

import chainer.functions as F
import chainer.links as L
import numpy as np
from chainer import Function
from chainer import Variable

MannyKayy

MannyKayy

from chainer.functions.connection import convolution_2d
from chainer import initializers
from chainer import link
import chainer.functions as F


class SubPixelConvolution2D(link.Link):

    """ Sub-pixel convolutional upscaling layer based on the paper "Real-Time Single Image
    and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network"