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# *-* coding: UTF-8 *-*
__author__ = 'BG'
import urllib2
import os
import re

class ZOLPIC:
    def __init__(self):
        if not os.path.exists('./PIC'):
            os.mkdir(r'./PIC')

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# 1
python3 train.py -b 128 -e 200 -d cifar10 -lr_m tanh_epoch -net lenet -depth 5 -width 1 -tanh_begin -4 -tanh_end 4 -log ./cifar10_tb4_te4_lenet_1
python3 train.py -b 128 -e 200 -d cifar10 -lr_m tanh_epoch -net lenet -depth 5 -width 1 -tanh_begin -3.5 -tanh_end 2.5 -log ./cifar10_tb35_te25_lenet_1
python3 train.py -b 128 -e 200 -d cifar10 -lr_m tanh_epoch -net lenet -depth 5 -width 1 -tanh_begin -4 -tanh_end 2.5 -log ./cifar10_tb4_te25_lenet_1
python3 train.py -b 128 -e 200 -d cifar10 -lr_m tanh_epoch -net lenet -depth 5 -width 1 -tanh_begin -2.5 -tanh_end 2.5 -log ./cifar10_tb25_te25_lenet_1
#
python3 train.py -b 128 -e 200 -d fashion_mnist -lr_m tanh_epoch -net lenet -depth 5 -width 1 -tanh_begin -4 -tanh_end 4 -log ./fashion_mnist_tb4_te4_lenet_1
python3 train.py -b 128 -e 200 -d fashion_mnist -lr_m tanh_epoch -net lenet -depth 5 -width 1 -tanh_begin -3.5 -tanh_end 2.5 -log ./fashion_mnist_tb35_te25_lenet_1
python3 train.py -b 128 -e 200 -d fashion_mnist -lr_m tanh_epoch -net lenet -depth 5 -width 1 -ta

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#!/bin/bash
#
# script to extract ImageNet dataset
# ILSVRC2012_img_train.tar (about 138 GB)
# ILSVRC2012_img_val.tar (about 6.3 GB)
# make sure ILSVRC2012_img_train.tar & ILSVRC2012_img_val.tar in your current directory
#
#  https://github.com/facebook/fb.resnet.torch/blob/master/INSTALL.md
# 
#  train/

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#!/usr/bin/env python
# -*- coding:utf-8 -*-

import os
import sys
import time
import random
import numpy as np

def debug_out(debug_str):

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• extensions(插件):
  • C/C++
  • Python
  • Markdown All in One
  • Dracula Official
  • GitLens
• settings:
  • Editor: Render Whitespace
    • boundary
• Mouse Wheel Zoom

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# == czf setuo script ==
# == remove & install cuda ==
sudo apt-get update
sudo apt-get install vim screen htop curl -y
sudo apt-get purge cuda* -y
sudo apt-get autoremove -y
sudo apt-get autoclean -y
wget https://developer.nvidia.com/compute/cuda/8.0/Prod2/local_installers/cuda_8.0.61_375.26_linux-run
sudo bash cuda_8.0.61_375.26_linux-run --silent --toolkit
# == switch cuda version ==

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# == remove & install cuda ==
sudo apt-get update
sudo apt-get install vim screen htop curl -y
sudo apt-get purge cuda* -y
sudo apt-get autoremove -y
sudo apt-get autoclean -y
wget https://developer.nvidia.com/compute/cuda/8.0/Prod2/local_installers/cuda_8.0.61_375.26_linux-run
sudo bash cuda_8.0.61_375.26_linux-run --silent --toolkit

# == install cudnn 7.1.4 ==

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#!/bin/bash
sudo add-apt-repository ppa:webupd8team/java -y
sudo apt update 
sudo apt install oracle-java8-installer -y
javac -version
cd ~/Download
wget https://jaist.dl.sourceforge.net/project/gogui/gogui/1.4.9/gogui-1.4.9.zip
unzip gogui-1.4.9
cd gogui-1.4.9/
sudo ./install.sh

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#!/usr/bin/env python
# -*- coding:utf-8 -*-

from caffe2.proto import caffe2_pb2
from caffe2.python.predictor import mobile_exporter
from caffe2.python import (
    core,
    brew,
    cnn,
    utils,

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# -*-coding:utf-8-*-
import torch
import torch.nn as nn
import torch.nn.functional as F


__all__ = ['sk_resnext29_8x64d', 'sk_resnext29_16x64d']


class SKConv(nn.Module):