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tar -xvf cudnn-*.tar.xz
sudo cp cudnn-*-archive/include/cudnn*.h /usr/local/cuda/include 
sudo cp -P cudnn-*-archive/lib/libcudnn* /usr/local/cuda/lib64 
sudo chmod a+r /usr/local/cuda/include/cudnn*.h /usr/local/cuda/lib64/libcudnn*

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# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements.  See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership.  The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License.  You may obtain a copy of the License at
#
#   http://www.apache.org/licenses/LICENSE-2.0
#

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import torch
import torchvision.models as models
# import argparse
# parser = argparse.ArgumentParser()
# parser.add_argument("-n", "--network", help="network for onnx file", required=False)
# args = parser.parse_args()
input_size = (1,3,224,224)

dummy_input = torch.randn(*input_size, device="cuda")
MODEL_LIST = {

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devices: (
{
    name: "MX Vertical Advanced Ergonomic Mouse";
    smartshift:
    {
        on: true;
        threshold: 30;
    };
    hiresscroll:
    {

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# This .gitignore file should be placed at the root of your ML Agents project directory
#
# reference from https://github.com/github/gitignore/blob/master/Unity.gitignore
#
# aucher


UnitySDK.log
models/**/*.nn
models/**/**/*

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import torch
import torchvision
import numpy as np
model=torchvision.models.vgg19(pretrained=True)
input=torch.rand(1,3,224,224)
def get_features_hook(self, input, output):
    _max = output.data.cpu().numpy().max()
    _min = output.data.cpu().numpy().min()
    np.save(str(self),output.data.cpu().numpy())
    print("self: ",str(self),'max: ',_max,'\nmin: ',_min)

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#! /usr/bin/python3
from time import gmtime, strftime
import os

def send_mail(from_address=None,content=None,copy_address=None,subject=None, file=None):
    if from_address is None:
        from_address='2013103902@khu.ac.kr'
    elif subject is None:
        subject=strftime("%Y-%m-%d %H:%M:%S", gmtime())
    temp=""