| #just proxy for github.com | |
| git config --global http.https://github.com.proxy socks5://127.0.0.1:1080 | |
| git config --global http.https://github.com.sslVerify false | |
| git config --global https.https://github.com.proxy socks5://127.0.0.1:1080 | |
| git config --global https.https://github.com.sslVerify false | |
| #cancel proxy | |
| git config --global --unset http.https://github.com.proxy | |
| git config --global --unset http.https://github.com.sslVerify | |
| git config --global --unset https.https://github.com.proxy |
| import win32com.client | |
| speaker = win32com.client.Dispatch("SAPI.SpVoice") | |
| while 1: | |
| print('Enter the Word') | |
| #可用中文、英文 | |
| s = input( ) | |
| speaker.Speak(s) |
| # coding=utf-8 | |
| # Python3.6 | |
| # Class Record a wav in new thread | |
| import threading | |
| import pyaudio | |
| import wave | |
| from time import sleep | |
| class RecordThread(threading.Thread): |
| #!/bin/bash | |
| # | |
| # pyTorch install script for NVIDIA Jetson TX1/TX2, | |
| # from a fresh flashing of JetPack 2.3.1 / JetPack 3.0 / JetPack 3.1 / JetPack 4.2 | |
| # | |
| # for the full source, see jetson-reinforcement repo: | |
| # https://github.com/dusty-nv/jetson-reinforcement/blob/master/CMakePreBuild.sh | |
| # | |
| # note: pyTorch documentation calls for use of Anaconda, | |
| # however Anaconda isn't available for aarch64. |
| sudo apt update | |
| sudo apt -y install build-essential | |
| sudo apt -y install linux-headers-$(uname -r) | |
| wget -N https://developer.nvidia.com/compute/cuda/10.1/Prod/local_installers/cuda_10.1.168_418.67_linux.run | |
| wget -N http://developer.download.nvidia.com/compute/redist/cudnn/v7.6.0/cudnn-10.1-linux-x64-v7.6.0.64.tgz | |
| wget -N https://developer.download.nvidia.com/compute/redist/nccl/v2.4/nccl_2.4.7-1+cuda10.1_x86_64.txz | |
| #Disable nouveau driver | |
| echo "blacklist nouveau" | sudo tee -a /etc/modprobe.d/blacklist-nouveau.conf > /dev/null |
| #!/bin/bash | |
| # Install CUDA Toolkit 10 | |
| wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-repo-ubuntu1804_10.0.130-1_amd64.deb | |
| sudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/7fa2af80.pub && sudo apt update | |
| sudo dpkg -i cuda-repo-ubuntu1804_10.0.130-1_amd64.deb | |
| sudo apt update | |
| sudo apt install -y cuda |
| #!/bin/bash | |
| # cool_gpu2.sh This script will enable or disable fixed gpu fan speed | |
| # | |
| # Description: A script to control GPU fan speed on headless (non-X) linux nodes | |
| # Original Script by Axel Kohlmeyer <akohlmey@gmail.com> | |
| # https://sites.google.com/site/akohlmey/random-hacks/nvidia-gpu-coolness | |
| # | |
| # Modified for newer drivers and removed old work-arounds |
| Beyond Compare 4 | |
| Licensed to: ASIO Allsoftinone | |
| Quantity: 1 user | |
| Serial number: 1822-9597 | |
| License type: Pro Edition for Windows | |
| --- BEGIN LICENSE KEY --- | |
| H1bJTd2SauPv5Garuaq0Ig43uqq5NJOEw94wxdZTpU-pFB9GmyPk677gJ | |
| vC1Ro6sbAvKR4pVwtxdCfuoZDb6hJ5bVQKqlfihJfSYZt-xVrVU27+0Ja | |
| hFbqTmYskatMTgPyjvv99CF2Te8ec+Ys2SPxyZAF0YwOCNOWmsyqN5y9t |
| --- Eigen/src/Core/arch/CUDA/Half.h 2018-06-22 18:09:44.000000000 -0400 | |
| +++ Eigen/src/Core/arch/CUDA/Half.h 2018-07-25 01:19:55.462313100 -0400 | |
| @@ -209,7 +209,7 @@ | |
| // conversion steps back and forth. | |
| EIGEN_STRONG_INLINE __device__ half operator + (const half& a, const half& b) { | |
| - return __hadd(a, b); | |
| + return __hadd(::__half(a), ::__half(b)); | |
| } | |
| EIGEN_STRONG_INLINE __device__ half operator * (const half& a, const half& b) { |
This guide explains how to build TensorFlow sources into a TensorFlow binary and how to install that TensorFlow binary on Windows.
You must choose one of the following types of TensorFlow to build and install:
