lixiaoquan

ss = "\uf03a"

print(f"Unicode char used by cygwin to represent : in path {ss} {[ss]}")

value = ord(ss)

print(f"Convert it to hex number {(hex(value))}")

# https://cygwin.com/cygwin-ug-net/using-specialnames.html
value -= 0xf000

lixiaoquan

#!/bin/bash
# add the GPG key for the official Docker repository to the system
curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add -

# add the Docker repository to APT sources
sudo add-apt-repository "deb [arch=amd64] https://download.docker.com/linux/ubuntu $(lsb_release -cs) stable"

# update the package database with the Docker packages from the newly added repo
sudo apt-get update

lixiaoquan

首先在外网安装一个fzf

git clone --depth 1 https://github.com/junegunn/fzf.git ~/.fzf
~/.fzf/install

复制安装好的fzf到内网

~/.fzf

在内网中安装

lixiaoquan

import torch

import torch.nn.functional as F

# an Embedding module containing 10 tensors of size 3
# fill with value which makes it easy to see how calculation is done
embedding_matrix = torch.tensor([[1.0, 2, 3],
                                 [4, 5, 6],
                                 [7, 8, 9],
                                 [10, 11, 12],

lixiaoquan

Error

When use ParseFromString(), protobuf reports

"[libprotobuf ERROR google/protobuf/io/coded_stream.cc:207] A protocol message was rejected because it was too big (more than 67108864 bytes). To increase the limit (or to disable these warnings), see CodedInputStream::SetTotalBytesLimit() in google/protobuf/io/coded_stream.h."

Environment

• System ubuntu 18.04
• Python 3.6.9

Solution