xqm32

services:
  # See https://github.com/Dreamacro/clash/wiki/Running-Clash-as-a-service#docker
  clash:
    # ghcr.io/dreamacro/clash
    # ghcr.io/dreamacro/clash-premium
    # dreamacro/clash
    # dreamacro/clash-premium
    image: dreamacro/clash-premium
    container_name: clash-premium
    volumes:

notaTeapot

# Partially Working Error on Exit

from PySide2 import QtWidgets, QtGui,QtCore
import open3d as o3d
import win32gui
import sys
import threading
import time

class Worker(QtCore.QObject):

jtmoon79

Update: use PowerShell script PythonEmbed4Win.ps1.

The instructions in this gist have some subtle problems and this gist will not be updated.

About

jacobtomlinson

version: "3.9"

services:

  rapids:
    image: rapidsai/rapidsai:0.18-cuda11.0-runtime-ubuntu16.04-py3.8
    ports:
      - "8888:8888"  # Jupyter
      - "8786:8786"  # Dask communication
      - "8787:8787"  # Dask dashboard

jhandley

# Install webview2 by launching the bootstrapper
# See https://docs.microsoft.com/en-us/microsoft-edge/webview2/concepts/distribution#online-only-deployment
Function installWebView2

	# If this key exists and is not empty then webview2 is already installed
	ReadRegStr $0 HKLM \
        	"SOFTWARE\WOW6432Node\Microsoft\EdgeUpdate\Clients\{F3017226-FE2A-4295-8BDF-00C3A9A7E4C5}" "pv"

	${If} ${Errors} 
	${OrIf} $0 == ""

cxjava

# Raspberry Pi的GPU对 H264有一系列针对 MPEG4 H264、MPEG2 和 VC1（需要额外授权）的硬件加速优化，为了得到最好的性能，建议先对树莓派的启动设置文件（/boot/config.txt）进行如下的调整：

 gpu_mem=256
    framebuffer_depth=16

# 直接使用 apt-get 安装的ffmpeg没有专门的优化，对硬解的支持不好，所以需要自己从源码编译安装，首先用 apt-get 安装一些必要的包：


    apt-get install autoconf automake build-essential libass-dev libfreetype6-dev  libtheora-dev libtool libvorbis-dev pkg-config texinfo zlib1g-dev unzip cmake yasm libx264-dev libmp3lame-dev libopus-dev bzip2-dev

dusty-nv

diff --git a/aten/src/ATen/cpu/vec/vec256/vec256_float_neon.h b/aten/src/ATen/cpu/vec/vec256/vec256_float_neon.h
index 2aac442d21..f2321dad7a 100644
--- a/aten/src/ATen/cpu/vec/vec256/vec256_float_neon.h
+++ b/aten/src/ATen/cpu/vec/vec256/vec256_float_neon.h
@@ -26,6 +26,9 @@ namespace {
 // Most likely we will do aarch32 support with inline asm.
 #if defined(__aarch64__)
 
+// See https://github.com/pytorch/pytorch/issues/47098
+#if defined(__clang__) || (__GNUC__ > 8 || (__GNUC__ == 8 && __GNUC_MINOR__ > 3))

zrt

###################
#                 #
#     SU.SG       #
#                 #
###################

# https://mp.weixin.qq.com/s/H3OOqhFRr0YZGorIAlsCjA
# todo
# replace or remove content-security-policy header

catalystfrank

import numpy as np
import pandas as pd
import bottleneck as bn

# Read And Count
trainDF = pd.read_csv('train.csv',sep=',',header=0)
lenTrain = len(trainDF)
valDF = pd.read_csv('submission.csv',sep=',',header=0)
lenVal = len(valDF)
trainFold = pd.read_csv('train_5fold_20181219.csv',sep=',',header=0)

ypwhs