MerHS

##### fig 1.
##### nsys profile -w true -t cuda,nvtx,osrt,cudnn,cublas -s cpu --cudabacktrace=true -x true -f true -o fig1 torchrun --nproc_per_node 3 run.py --devs 0 2 3
import os
import time

import torch
import torch.distributed as dist
from threading import Thread
from torch.profiler import ProfilerActivity, profile

MerHS

# user, host, full path, and time/date
# on two lines for easier vgrepping
# entry in a nice long thread on the Arch Linux forums: https://bbs.archlinux.org/viewtopic.php?pid=521888#p521888
# conda config --set changeps1 False
PROMPT=$'%{\e[0;34m%}%B┌─[%b%{\e[0m%}%{\e[1;32m%}%n%{\e[1;30m%}@%{\e[0m%}%{\e[0;36m%}%m%{\e[0;34m%}%B]%b%{\e[0m%} - %b%{\e[0;34m%}%B[%b%{\e[1;37m%}%~%{\e[0;34m%}%B]%b%{\e[0m%} - %{\e[0;34m%}%B[%b%{\e[0;33m%}'%D{"%a %b %d, %H:%M"}%b$'%{\e[0;34m%}%B]%b%{\e[0m%}
%{\e[0;34m%}%B└─%B[$CONDA_DEFAULT_ENV] <$(git_prompt_info)>%{\e[0m%}%b '
PS2=$' \e[0;34m%}%B>%{\e[0m%}%b '

MerHS

python 스크립트 내리기

1. function default parameter

def f(a, b=3):
  return a + b
  
f(a)

MerHS

import torch
import argparse
from torch import nn
from torch.nn import LSTM

parser = argparse.ArgumentParser(description="Python tensor type resolver / example 1")

parser.add_argument("--len", type=int, default=5, help="length of sequence")

MerHS

Tag2Pix: Line Art Colorization Using Text Tag With SECat and Changing Loss

This repository is the official PyTorch implementation of Tag2Pix

Prerequisite

• pytorch >= 1.0.1
• torchvision >= 0.2.2
• numpy/scipy

MerHS

##
using QuadGK
using Calculus
##
D = 0.39
H = 0.42
W = 0.63
r_max = 0.06
N = 300

MerHS

i_square = 1.0
n_square = 30
h = 0.102
H = 0.178
W = 0.178
coeff = i_square * n_square * 10^-7

function B1(x, y)
    r = sqrt(x^2 + y^2)
    dl = H / 500