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View cudnn.sh
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*
@ryujaehun
ryujaehun / config.cmake
Created March 6, 2022 05:15
The one-shot tuner build configuration file
View config.cmake
# 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
#
@ryujaehun
ryujaehun / onnx_generator.py
Created February 3, 2022 07:44
onnx file generator though PyTorch
View onnx_generator.py
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 = {
@ryujaehun
ryujaehun / logid.cfg
Last active July 14, 2021 14:25
my example
View logid.cfg
devices: (
{
name: "MX Vertical Advanced Ergonomic Mouse";
smartshift:
{
on: true;
threshold: 30;
};
hiresscroll:
{
@ryujaehun
ryujaehun / data_visualization.ipynb
Created April 8, 2020 06:14
data_visualization_test
View data_visualization.ipynb
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ryujaehun / LUT_Parsing_CUDA.ipynb
Created April 8, 2020 06:13
LUT_Parsing_CUDA
View LUT_Parsing_CUDA.ipynb
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@ryujaehun
ryujaehun / video.ipynb
Created November 5, 2019 02:43
video split opencv in python
View video.ipynb
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ryujaehun / ml-agent.gitignore
Created May 31, 2019 03:13
ml-agent.gitignore
View ml-agent.gitignore
# 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/**/**/*
View hook_test.py
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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ryujaehun / sendmail.py
Created January 13, 2019 14:33
sendmail.py
View sendmail.py
#! /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=""