前言
PyTorch
的官网地址为:https://pytorch.org/ 。
PyTorch Tutorials
的地址为:https://pytorch.org/tutorials/ 。
操作系统:Ubuntu 18.04.6 LTS
参考文档
安装 PyTorch
PyTorch
官方安装教程:https://pytorch.org/get-started/locally/ 。
- 本地操作系统信息。
$ hostnamectl
Static hostname: amax
Icon name: computer-server
Chassis: server
Machine ID: 9e3f9b2c17f34ec498bbe99396f0597d
Boot ID: 045903c8f58741f1b1862515b085885b
Operating System: Ubuntu 18.04.6 LTS
Kernel: Linux 5.4.0-126-generic
Architecture: x86-64
- 本地
NVIDIA System Management Interface
。其中CUDA Version: 11.6
。
$ nvidia-smi
Sat Oct 8 14:45:37 2022
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 510.85.02 Driver Version: 510.85.02 CUDA Version: 11.6 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|===============================+======================+======================|
| 0 NVIDIA GeForce ... Off | 00000000:02:00.0 Off | N/A |
| 29% 39C P8 9W / 250W | 0MiB / 11264MiB | 0% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
| 1 NVIDIA GeForce ... Off | 00000000:81:00.0 Off | N/A |
| 32% 45C P8 10W / 250W | 0MiB / 11264MiB | 0% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=============================================================================|
| No running processes found |
+-----------------------------------------------------------------------------+
- 安装
Anaconda
。
$ curl -O https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh
$ sh Miniconda3-latest-Linux-x86_64.sh
Welcome to Miniconda3 py39_4.12.0
In order to continue the installation process, please review the license
agreement.
Please, press ENTER to continue
>>>
======================================
End User License Agreement - Miniconda
======================================
Copyright 2015-2022, Anaconda, Inc.
All rights reserved under the 3-clause BSD License:
This End User License Agreement (the "Agreement") is a legal agreement between you and Anaconda, Inc. ("Anaconda") and governs your use of Miniconda.
Subject to the terms of this Agreement, Anaconda hereby grants you a non-exclusive, non-transferable license to:
* Install and use the Miniconda,
* Modify and create derivative works of sample source code delivered in Miniconda subject to the Terms of Service for the Repository (as defined hereinafter) availa
ble at https://www.anaconda.com/terms-of-service, and
* Redistribute code files in source (if provided to you by Anaconda as source) and binary forms, with or without modification subject to the requirements set forth
below.
Anaconda may, at its option, make available patches, workarounds or other updates to Miniconda. Unless the updates are provided with their separate governing terms, t
hey are deemed part of Miniconda licensed to you as provided in this Agreement. This Agreement does not entitle you to any support for Miniconda.
Anaconda reserves all rights not expressly granted to you in this Agreement.
Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other m
aterials provided with the distribution.
* Neither the name of Anaconda nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior writte
n permission.
You acknowledge that, as between you and Anaconda, Anaconda owns all right, title, and interest, including all intellectual property rights, in and to Miniconda and,
with respect to third-party products distributed with or through Miniconda, the applicable third-party licensors own all right, title and interest, including all inte
llectual property rights, in and to such products. If you send or transmit any communications or materials to Anaconda suggesting or recommending changes to the softw
are or documentation, including without limitation, new features or functionality relating thereto, or any comments, questions, suggestions or the like ("Feedback"),
Anaconda is free to use such Feedback. You hereby assign to Anaconda all right, title, and interest in, and Anaconda is free to use, without any attribution or compen
sation to any party, any ideas, know-how, concepts, techniques or other intellectual property rights contained in the Feedback, for any purpose whatsoever, although A
naconda is not required to use any Feedback.
DISCLAIMER
==========
THIS SOFTWARE IS PROVIDED BY ANACONDA AND ITS CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MER
CHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL ANACONDA BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CO
NSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUS
ED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWA
RE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
TO THE MAXIMUM EXTENT PERMITTED BY LAW, ANACONDA AND ITS AFFILIATES SHALL NOT BE LIABLE FOR ANY SPECIAL, INCIDENTAL, PUNITIVE OR CONSEQUENTIAL DAMAGES, OR ANY LOST PR
OFITS, LOSS OF USE, LOSS OF DATA OR LOSS OF GOODWILL, OR THE COSTS OF PROCURING SUBSTITUTE PRODUCTS, ARISING OUT OF OR IN CONNECTION WITH THIS AGREEMENT OR THE USE OR
PERFORMANCE OF MINICONDA, WHETHER SUCH LIABILITY ARISES FROM ANY CLAIM BASED UPON BREACH OF CONTRACT, BREACH OF WARRANTY, TORT (INCLUDING NEGLIGENCE), PRODUCT LIABIL
ITY OR ANY OTHER CAUSE OF ACTION OR THEORY OF LIABILITY. IN NO EVENT WILL THE TOTAL CUMULATIVE LIABILITY OF ANACONDA AND ITS AFFILIATES UNDER OR ARISING OUT OF THIS A
GREEMENT EXCEED US.00.
Miscellaneous
=============
If you want to terminate this Agreement, you may do so by discontinuing use of Miniconda. Anaconda may, at any time, terminate this Agreement and the license granted
hereunder if you fail to comply with any term of this Agreement. Upon any termination of this Agreement, you agree to promptly discontinue use of the Miniconda and de
stroy all copies in your possession or control. Upon any termination of this Agreement all provisions survive except for the licenses granted to you.
This Agreement is governed by and construed in accordance with the internal laws of the State of Texas without giving effect to any choice or conflict of law provisio
n or rule that would require or permit the application of the laws of any jurisdiction other than those of the State of Texas. Any legal suit, action, or proceeding a
rising out of or related to this Agreement or the licenses granted hereunder by you must be instituted exclusively in the federal courts of the United States or the c
ourts of the State of Texas in each case located in Travis County, Texas, and you irrevocably submit to the jurisdiction of such courts in any such suit, action, or p
roceeding.
Notice of Third Party Software Licenses
=======================================
Miniconda provides access to a repository (the "Repository") which contains software packages or tools licensed on an open source basis from third parties and binary
packages of these third party tools. These third party software packages or tools are provided on an "as is" basis and are subject to their respective license agreeme
nts as well as this Agreement and the Terms of Service for the Repository located at https://www.anaconda.com/terms-of-service; provided, however, no restriction cont
ained in the Terms of Service shall be construed so as to limit Your ability to download the packages contained in Miniconda provided you comply with the license for
each such package. These licenses may be accessed from within the Miniconda software[1] or https://www.anaconda.com/legal. Information regarding which license is appl
icable is available from within many of the third party software packages and tools and at https://repo.anaconda.com/pkgs/main/ and https://repo.anaconda.com/pkgs/r/.
Anaconda reserves the right, in its sole discretion, to change which third party tools are included in the Repository accessible through Miniconda.
Intel Math Kernel Library
-------------------------
Miniconda provides access to re-distributable, run-time, shared-library files from the Intel Math Kernel Library ("MKL binaries").
Copyright 2018 Intel Corporation. License available at https://software.intel.com/en-us/license/intel-simplified-software-license (the "MKL License").
You may use and redistribute the MKL binaries, without modification, provided the following conditions are met:
* Redistributions must reproduce the above copyright notice and the following terms of use in the MKL binaries and in the documentation and/or other materials provi
ded with the distribution.
* Neither the name of Intel nor the names of its suppliers may be used to endorse or promote products derived from the MKL binaries without specific prior written p
ermission.
* No reverse engineering, decompilation, or disassembly of the MKL binaries is permitted.
You are specifically authorized to use and redistribute the MKL binaries with your installation of Miniconda subject to the terms set forth in the MKL License. You ar
e also authorized to redistribute the MKL binaries with Miniconda or in the Anaconda package that contains the MKL binaries. If needed, instructions for removing the
MKL binaries after installation of Miniconda are available at https://docs.anaconda.com.
cuDNN Software
--------------
Miniconda also provides access to cuDNN software binaries ("cuDNN binaries") from NVIDIA Corporation. You are specifically authorized to use the cuDNN binaries with y
our installation of Miniconda subject to your compliance with the license agreement located at https://docs.nvidia.com/deeplearning/sdk/cudnn-sla/index.html. You are
also authorized to redistribute the cuDNN binaries with an Miniconda package that contains the cuDNN binaries. You can add or remove the cuDNN binaries utilizing the
install and uninstall features in Miniconda.
cuDNN binaries contain source code provided by NVIDIA Corporation.
Arm Performance Libraries
-------------------------
Arm Performance Libraries (Free Version): Anaconda provides access to software and related documentation from the Arm Performance Libraries ("Arm PL") provided by Arm
Limited. By installing or otherwise accessing the Arm PL, you acknowledge and agree that use and distribution of the Arm PL is subject to your compliance with the Ar
m PL end user license agreement located at: https://developer.arm.com/tools-and-software/server-and-hpc/downloads/arm-performance-libraries/eula.
Export; Cryptography Notice
===========================
You must comply with all domestic and international export laws and regulations that apply to the software, which include restrictions on destinations, end users, and
end use. Miniconda includes cryptographic software. The country in which you currently reside may have restrictions on the import, possession, use, and/or re-export
to another country, of encryption software. BEFORE using any encryption software, please check your country's laws, regulations and policies concerning the import, po
ssession, or use, and re-export of encryption software, to see if this is permitted. See the Wassenaar Arrangement http://www.wassenaar.org/ for more information.
Anaconda has self-classified this software as Export Commodity Control Number (ECCN) EAR99, which includes mass market information security software using or performi
ng cryptographic functions with asymmetric algorithms. No license is required for export of this software to non-embargoed countries.
The Intel Math Kernel Library contained in Miniconda is classified by Intel as ECCN 5D992.c with no license required for export to non-embargoed countries.
The following packages listed on https://www.anaconda.com/cryptography are included in the Repository accessible through Miniconda that relate to cryptography.
Last updated March 21, 2022
Do you accept the license terms? [yes|no]
[no] >>>
Please answer 'yes' or 'no':'
>>> yes
Miniconda3 will now be installed into this location:
/home/luyanfeng/miniconda3
- Press ENTER to confirm the location
- Press CTRL-C to abort the installation
- Or specify a different location below
[/home/luyanfeng/miniconda3] >>>
PREFIX=/home/luyanfeng/miniconda3
Unpacking payload ...
Collecting package metadata (current_repodata.json): done
Solving environment: done
## Package Plan ##
environment location: /home/luyanfeng/miniconda3
added / updated specs:
- _libgcc_mutex==0.1=main
- _openmp_mutex==4.5=1_gnu
- brotlipy==0.7.0=py39h27cfd23_1003
- ca-certificates==2022.3.29=h06a4308_1
- certifi==2021.10.8=py39h06a4308_2
- cffi==1.15.0=py39hd667e15_1
- charset-normalizer==2.0.4=pyhd3eb1b0_0
- colorama==0.4.4=pyhd3eb1b0_0
- conda-content-trust==0.1.1=pyhd3eb1b0_0
- conda-package-handling==1.8.1=py39h7f8727e_0
- conda==4.12.0=py39h06a4308_0
- cryptography==36.0.0=py39h9ce1e76_0
- idna==3.3=pyhd3eb1b0_0
- ld_impl_linux-64==2.35.1=h7274673_9
- libffi==3.3=he6710b0_2
- libgcc-ng==9.3.0=h5101ec6_17
- libgomp==9.3.0=h5101ec6_17
- libstdcxx-ng==9.3.0=hd4cf53a_17
- ncurses==6.3=h7f8727e_2
- openssl==1.1.1n=h7f8727e_0
- pip==21.2.4=py39h06a4308_0
- pycosat==0.6.3=py39h27cfd23_0
- pycparser==2.21=pyhd3eb1b0_0
- pyopenssl==22.0.0=pyhd3eb1b0_0
- pysocks==1.7.1=py39h06a4308_0
- python==3.9.12=h12debd9_0
- readline==8.1.2=h7f8727e_1
- requests==2.27.1=pyhd3eb1b0_0
- ruamel_yaml==0.15.100=py39h27cfd23_0
- setuptools==61.2.0=py39h06a4308_0
- six==1.16.0=pyhd3eb1b0_1
- sqlite==3.38.2=hc218d9a_0
- tk==8.6.11=h1ccaba5_0
- tqdm==4.63.0=pyhd3eb1b0_0
- tzdata==2022a=hda174b7_0
- urllib3==1.26.8=pyhd3eb1b0_0
- wheel==0.37.1=pyhd3eb1b0_0
- xz==5.2.5=h7b6447c_0
- yaml==0.2.5=h7b6447c_0
- zlib==1.2.12=h7f8727e_1
The following NEW packages will be INSTALLED:
_libgcc_mutex pkgs/main/linux-64::_libgcc_mutex-0.1-main
_openmp_mutex pkgs/main/linux-64::_openmp_mutex-4.5-1_gnu
brotlipy pkgs/main/linux-64::brotlipy-0.7.0-py39h27cfd23_1003
ca-certificates pkgs/main/linux-64::ca-certificates-2022.3.29-h06a4308_1
certifi pkgs/main/linux-64::certifi-2021.10.8-py39h06a4308_2
cffi pkgs/main/linux-64::cffi-1.15.0-py39hd667e15_1
charset-normalizer pkgs/main/noarch::charset-normalizer-2.0.4-pyhd3eb1b0_0
colorama pkgs/main/noarch::colorama-0.4.4-pyhd3eb1b0_0
conda pkgs/main/linux-64::conda-4.12.0-py39h06a4308_0
conda-content-tru~ pkgs/main/noarch::conda-content-trust-0.1.1-pyhd3eb1b0_0
conda-package-han~ pkgs/main/linux-64::conda-package-handling-1.8.1-py39h7f8727e_0
cryptography pkgs/main/linux-64::cryptography-36.0.0-py39h9ce1e76_0
idna pkgs/main/noarch::idna-3.3-pyhd3eb1b0_0
ld_impl_linux-64 pkgs/main/linux-64::ld_impl_linux-64-2.35.1-h7274673_9
libffi pkgs/main/linux-64::libffi-3.3-he6710b0_2
libgcc-ng pkgs/main/linux-64::libgcc-ng-9.3.0-h5101ec6_17
libgomp pkgs/main/linux-64::libgomp-9.3.0-h5101ec6_17
libstdcxx-ng pkgs/main/linux-64::libstdcxx-ng-9.3.0-hd4cf53a_17
ncurses pkgs/main/linux-64::ncurses-6.3-h7f8727e_2
openssl pkgs/main/linux-64::openssl-1.1.1n-h7f8727e_0
pip pkgs/main/linux-64::pip-21.2.4-py39h06a4308_0
pycosat pkgs/main/linux-64::pycosat-0.6.3-py39h27cfd23_0
pycparser pkgs/main/noarch::pycparser-2.21-pyhd3eb1b0_0
pyopenssl pkgs/main/noarch::pyopenssl-22.0.0-pyhd3eb1b0_0
pysocks pkgs/main/linux-64::pysocks-1.7.1-py39h06a4308_0
python pkgs/main/linux-64::python-3.9.12-h12debd9_0
readline pkgs/main/linux-64::readline-8.1.2-h7f8727e_1
requests pkgs/main/noarch::requests-2.27.1-pyhd3eb1b0_0
ruamel_yaml pkgs/main/linux-64::ruamel_yaml-0.15.100-py39h27cfd23_0
setuptools pkgs/main/linux-64::setuptools-61.2.0-py39h06a4308_0
six pkgs/main/noarch::six-1.16.0-pyhd3eb1b0_1
sqlite pkgs/main/linux-64::sqlite-3.38.2-hc218d9a_0
tk pkgs/main/linux-64::tk-8.6.11-h1ccaba5_0
tqdm pkgs/main/noarch::tqdm-4.63.0-pyhd3eb1b0_0
tzdata pkgs/main/noarch::tzdata-2022a-hda174b7_0
urllib3 pkgs/main/noarch::urllib3-1.26.8-pyhd3eb1b0_0
wheel pkgs/main/noarch::wheel-0.37.1-pyhd3eb1b0_0
xz pkgs/main/linux-64::xz-5.2.5-h7b6447c_0
yaml pkgs/main/linux-64::yaml-0.2.5-h7b6447c_0
zlib pkgs/main/linux-64::zlib-1.2.12-h7f8727e_1
Preparing transaction: done
Executing transaction: done
installation finished.
Do you wish the installer to initialize Miniconda3
by running conda init? [yes|no]
[no] >>> yes
no change /home/luyanfeng/miniconda3/condabin/conda
no change /home/luyanfeng/miniconda3/bin/conda
no change /home/luyanfeng/miniconda3/bin/conda-env
no change /home/luyanfeng/miniconda3/bin/activate
no change /home/luyanfeng/miniconda3/bin/deactivate
no change /home/luyanfeng/miniconda3/etc/profile.d/conda.sh
no change /home/luyanfeng/miniconda3/etc/fish/conf.d/conda.fish
no change /home/luyanfeng/miniconda3/shell/condabin/Conda.psm1
no change /home/luyanfeng/miniconda3/shell/condabin/conda-hook.ps1
no change /home/luyanfeng/miniconda3/lib/python3.9/site-packages/xontrib/conda.xsh
no change /home/luyanfeng/miniconda3/etc/profile.d/conda.csh
modified /home/luyanfeng/.bashrc
==> For changes to take effect, close and re-open your current shell. <==
If you'd prefer that conda's base environment not be activated on startup,
set the auto_activate_base parameter to false:
conda config --set auto_activate_base false
Thank you for installing Miniconda3!
$ source ~/.bashrc
$ rm -rf Miniconda3-latest-Linux-x86_64.sh
- 安装
PyTorch
并验证。
$ conda env list
# conda environments:
#
base * /home/luyanfeng/miniconda3
$ conda create -n pytorch-tutorials python=3.8
Collecting package metadata (current_repodata.json): done
Solving environment: done
==> WARNING: A newer version of conda exists. <==
current version: 4.12.0
latest version: 22.9.0
Please update conda by running
$ conda update -n base -c defaults conda
## Package Plan ##
environment location: /home/luyanfeng/miniconda3/envs/pytorch-tutorials
added / updated specs:
- python=3.8
The following packages will be downloaded:
package | build
---------------------------|-----------------
_openmp_mutex-5.1 | 1_gnu 21 KB
ca-certificates-2022.07.19 | h06a4308_0 124 KB
certifi-2022.9.24 | py38h06a4308_0 154 KB
ld_impl_linux-64-2.38 | h1181459_1 654 KB
libgcc-ng-11.2.0 | h1234567_1 5.3 MB
libgomp-11.2.0 | h1234567_1 474 KB
libstdcxx-ng-11.2.0 | h1234567_1 4.7 MB
ncurses-6.3 | h5eee18b_3 781 KB
openssl-1.1.1q | h7f8727e_0 2.5 MB
pip-22.2.2 | py38h06a4308_0 2.3 MB
python-3.8.13 | h12debd9_0 18.8 MB
setuptools-63.4.1 | py38h06a4308_0 1.1 MB
sqlite-3.39.3 | h5082296_0 1.1 MB
tk-8.6.12 | h1ccaba5_0 3.0 MB
xz-5.2.6 | h5eee18b_0 394 KB
zlib-1.2.12 | h5eee18b_3 103 KB
------------------------------------------------------------
Total: 41.5 MB
The following NEW packages will be INSTALLED:
_libgcc_mutex pkgs/main/linux-64::_libgcc_mutex-0.1-main
_openmp_mutex pkgs/main/linux-64::_openmp_mutex-5.1-1_gnu
ca-certificates pkgs/main/linux-64::ca-certificates-2022.07.19-h06a4308_0
certifi pkgs/main/linux-64::certifi-2022.9.24-py38h06a4308_0
ld_impl_linux-64 pkgs/main/linux-64::ld_impl_linux-64-2.38-h1181459_1
libffi pkgs/main/linux-64::libffi-3.3-he6710b0_2
libgcc-ng pkgs/main/linux-64::libgcc-ng-11.2.0-h1234567_1
libgomp pkgs/main/linux-64::libgomp-11.2.0-h1234567_1
libstdcxx-ng pkgs/main/linux-64::libstdcxx-ng-11.2.0-h1234567_1
ncurses pkgs/main/linux-64::ncurses-6.3-h5eee18b_3
openssl pkgs/main/linux-64::openssl-1.1.1q-h7f8727e_0
pip pkgs/main/linux-64::pip-22.2.2-py38h06a4308_0
python pkgs/main/linux-64::python-3.8.13-h12debd9_0
readline pkgs/main/linux-64::readline-8.1.2-h7f8727e_1
setuptools pkgs/main/linux-64::setuptools-63.4.1-py38h06a4308_0
sqlite pkgs/main/linux-64::sqlite-3.39.3-h5082296_0
tk pkgs/main/linux-64::tk-8.6.12-h1ccaba5_0
wheel pkgs/main/noarch::wheel-0.37.1-pyhd3eb1b0_0
xz pkgs/main/linux-64::xz-5.2.6-h5eee18b_0
zlib pkgs/main/linux-64::zlib-1.2.12-h5eee18b_3
Proceed ([y]/n)? y
Downloading and Extracting Packages
ld_impl_linux-64-2.3 | 654 KB | ################################# | 100%
pip-22.2.2 | 2.3 MB | ################################# | 100%
certifi-2022.9.24 | 154 KB | ################################# | 100%
libgomp-11.2.0 | 474 KB | ################################# | 100%
xz-5.2.6 | 394 KB | ################################# | 100%
openssl-1.1.1q | 2.5 MB | ################################# | 100%
zlib-1.2.12 | 103 KB | ################################# | 100%
ncurses-6.3 | 781 KB | ################################# | 100%
sqlite-3.39.3 | 1.1 MB | ################################# | 100%
libstdcxx-ng-11.2.0 | 4.7 MB | ################################# | 100%
tk-8.6.12 | 3.0 MB | ################################# | 100%
libgcc-ng-11.2.0 | 5.3 MB | ################################# | 100%
ca-certificates-2022 | 124 KB | ################################# | 100%
setuptools-63.4.1 | 1.1 MB | ################################# | 100%
_openmp_mutex-5.1 | 21 KB | ################################# | 100%
python-3.8.13 | 18.8 MB | ################################# | 100%
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
#
# To activate this environment, use
#
# $ conda activate pytorch-tutorials
#
# To deactivate an active environment, use
#
# $ conda deactivate
$ conda env list
# conda environments:
#
base * /home/luyanfeng/miniconda3
pytorch-tutorials /home/luyanfeng/miniconda3/envs/pytorch-tutorials
$ conda activate pytorch-tutorials
$ pip list
Package Version
---------- ---------
certifi 2022.9.24
pip 22.2.2
setuptools 63.4.1
wheel 0.37.1
$ conda install pytorch torchvision torchaudio cudatoolkit=11.6 -c pytorch -c conda-forge
Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Collecting package metadata (repodata.json): done
Solving environment: done
==> WARNING: A newer version of conda exists. <==
current version: 4.12.0
latest version: 22.9.0
Please update conda by running
$ conda update -n base -c defaults conda
## Package Plan ##
environment location: /home/luyanfeng/miniconda3/envs/pytorch-tutorials
added / updated specs:
- cudatoolkit=11.6
- pytorch
- torchaudio
- torchvision
The following packages will be downloaded:
package | build
---------------------------|-----------------
blas-1.0 | mkl 6 KB
brotlipy-0.7.0 |py38h0a891b7_1004 342 KB conda-forge
bzip2-1.0.8 | h7f98852_4 484 KB conda-forge
ca-certificates-2022.9.24 | ha878542_0 150 KB conda-forge
certifi-2022.9.24 | pyhd8ed1ab_0 155 KB conda-forge
cffi-1.14.6 | py38ha65f79e_0 226 KB conda-forge
charset-normalizer-2.1.1 | pyhd8ed1ab_0 36 KB conda-forge
cryptography-37.0.2 | py38h2b5fc30_0 1.5 MB conda-forge
cudatoolkit-11.6.0 | hecad31d_10 821.2 MB conda-forge
ffmpeg-4.3 | hf484d3e_0 9.9 MB pytorch
freetype-2.10.4 | h0708190_1 890 KB conda-forge
gmp-6.2.1 | h58526e2_0 806 KB conda-forge
gnutls-3.6.13 | h85f3911_1 2.0 MB conda-forge
idna-3.4 | pyhd8ed1ab_0 55 KB conda-forge
intel-openmp-2021.4.0 | h06a4308_3561 4.2 MB
jpeg-9e | h166bdaf_1 268 KB conda-forge
lame-3.100 | h7f98852_1001 496 KB conda-forge
lcms2-2.12 | hddcbb42_0 443 KB conda-forge
libiconv-1.17 | h166bdaf_0 1.4 MB conda-forge
libpng-1.6.37 | h21135ba_2 306 KB conda-forge
libtiff-4.2.0 | hf544144_3 590 KB conda-forge
libwebp-base-1.2.2 | h7f98852_1 824 KB conda-forge
lz4-c-1.9.3 | h9c3ff4c_1 179 KB conda-forge
mkl-2021.4.0 | h06a4308_640 142.6 MB
mkl-service-2.4.0 | py38h95df7f1_0 61 KB conda-forge
mkl_fft-1.3.1 | py38h8666266_1 213 KB conda-forge
mkl_random-1.2.2 | py38h1abd341_0 364 KB conda-forge
nettle-3.6 | he412f7d_0 6.5 MB conda-forge
numpy-1.23.1 | py38h6c91a56_0 11 KB
numpy-base-1.23.1 | py38ha15fc14_0 5.6 MB
olefile-0.46 | pyh9f0ad1d_1 32 KB conda-forge
openh264-2.1.1 | h780b84a_0 1.5 MB conda-forge
openjpeg-2.4.0 | hb52868f_1 444 KB conda-forge
openssl-1.1.1o | h166bdaf_0 2.1 MB conda-forge
pillow-8.2.0 | py38ha0e1e83_1 688 KB conda-forge
pycparser-2.21 | pyhd8ed1ab_0 100 KB conda-forge
pyopenssl-22.0.0 | pyhd8ed1ab_1 120 KB conda-forge
pysocks-1.7.1 | pyha2e5f31_6 19 KB conda-forge
python_abi-3.8 | 2_cp38 4 KB conda-forge
pytorch-1.12.1 |py3.8_cuda11.6_cudnn8.3.2_0 1.20 GB pytorch
pytorch-mutex-1.0 | cuda 3 KB pytorch
requests-2.28.1 | pyhd8ed1ab_1 53 KB conda-forge
six-1.16.0 | pyh6c4a22f_0 14 KB conda-forge
torchaudio-0.12.1 | py38_cu116 6.2 MB pytorch
torchvision-0.13.1 | py38_cu116 7.7 MB pytorch
typing_extensions-4.4.0 | pyha770c72_0 29 KB conda-forge
urllib3-1.26.11 | pyhd8ed1ab_0 102 KB conda-forge
zstd-1.5.0 | ha95c52a_0 490 KB conda-forge
------------------------------------------------------------
Total: 2.20 GB
The following NEW packages will be INSTALLED:
blas pkgs/main/linux-64::blas-1.0-mkl
brotlipy conda-forge/linux-64::brotlipy-0.7.0-py38h0a891b7_1004
bzip2 conda-forge/linux-64::bzip2-1.0.8-h7f98852_4
cffi conda-forge/linux-64::cffi-1.14.6-py38ha65f79e_0
charset-normalizer conda-forge/noarch::charset-normalizer-2.1.1-pyhd8ed1ab_0
cryptography conda-forge/linux-64::cryptography-37.0.2-py38h2b5fc30_0
cudatoolkit conda-forge/linux-64::cudatoolkit-11.6.0-hecad31d_10
ffmpeg pytorch/linux-64::ffmpeg-4.3-hf484d3e_0
freetype conda-forge/linux-64::freetype-2.10.4-h0708190_1
gmp conda-forge/linux-64::gmp-6.2.1-h58526e2_0
gnutls conda-forge/linux-64::gnutls-3.6.13-h85f3911_1
idna conda-forge/noarch::idna-3.4-pyhd8ed1ab_0
intel-openmp pkgs/main/linux-64::intel-openmp-2021.4.0-h06a4308_3561
jpeg conda-forge/linux-64::jpeg-9e-h166bdaf_1
lame conda-forge/linux-64::lame-3.100-h7f98852_1001
lcms2 conda-forge/linux-64::lcms2-2.12-hddcbb42_0
libiconv conda-forge/linux-64::libiconv-1.17-h166bdaf_0
libpng conda-forge/linux-64::libpng-1.6.37-h21135ba_2
libtiff conda-forge/linux-64::libtiff-4.2.0-hf544144_3
libwebp-base conda-forge/linux-64::libwebp-base-1.2.2-h7f98852_1
lz4-c conda-forge/linux-64::lz4-c-1.9.3-h9c3ff4c_1
mkl pkgs/main/linux-64::mkl-2021.4.0-h06a4308_640
mkl-service conda-forge/linux-64::mkl-service-2.4.0-py38h95df7f1_0
mkl_fft conda-forge/linux-64::mkl_fft-1.3.1-py38h8666266_1
mkl_random conda-forge/linux-64::mkl_random-1.2.2-py38h1abd341_0
nettle conda-forge/linux-64::nettle-3.6-he412f7d_0
numpy pkgs/main/linux-64::numpy-1.23.1-py38h6c91a56_0
numpy-base pkgs/main/linux-64::numpy-base-1.23.1-py38ha15fc14_0
olefile conda-forge/noarch::olefile-0.46-pyh9f0ad1d_1
openh264 conda-forge/linux-64::openh264-2.1.1-h780b84a_0
openjpeg conda-forge/linux-64::openjpeg-2.4.0-hb52868f_1
pillow conda-forge/linux-64::pillow-8.2.0-py38ha0e1e83_1
pycparser conda-forge/noarch::pycparser-2.21-pyhd8ed1ab_0
pyopenssl conda-forge/noarch::pyopenssl-22.0.0-pyhd8ed1ab_1
pysocks conda-forge/noarch::pysocks-1.7.1-pyha2e5f31_6
python_abi conda-forge/linux-64::python_abi-3.8-2_cp38
pytorch pytorch/linux-64::pytorch-1.12.1-py3.8_cuda11.6_cudnn8.3.2_0
pytorch-mutex pytorch/noarch::pytorch-mutex-1.0-cuda
requests conda-forge/noarch::requests-2.28.1-pyhd8ed1ab_1
six conda-forge/noarch::six-1.16.0-pyh6c4a22f_0
torchaudio pytorch/linux-64::torchaudio-0.12.1-py38_cu116
torchvision pytorch/linux-64::torchvision-0.13.1-py38_cu116
typing_extensions conda-forge/noarch::typing_extensions-4.4.0-pyha770c72_0
urllib3 conda-forge/noarch::urllib3-1.26.11-pyhd8ed1ab_0
zstd conda-forge/linux-64::zstd-1.5.0-ha95c52a_0
The following packages will be UPDATED:
ca-certificates pkgs/main::ca-certificates-2022.07.19~ --> conda-forge::ca-certificates-2022.9.24-ha878542_0
The following packages will be SUPERSEDED by a higher-priority channel:
certifi pkgs/main/linux-64::certifi-2022.9.24~ --> conda-forge/noarch::certifi-2022.9.24-pyhd8ed1ab_0
openssl pkgs/main::openssl-1.1.1q-h7f8727e_0 --> conda-forge::openssl-1.1.1o-h166bdaf_0
Proceed ([y]/n)? y
Downloading and Extracting Packages
numpy-base-1.23.1 | 5.6 MB | ########################################################################################################################### | 100%
pillow-8.2.0 | 688 KB | ########################################################################################################################### | 100%
urllib3-1.26.11 | 102 KB | ########################################################################################################################### | 100%
lz4-c-1.9.3 | 179 KB | ########################################################################################################################### | 100%
pytorch-1.12.1 | 1.20 GB | ########################################################################################################################### | 100%
openh264-2.1.1 | 1.5 MB | ########################################################################################################################### | 100%
numpy-1.23.1 | 11 KB | ########################################################################################################################### | 100%
gnutls-3.6.13 | 2.0 MB | ########################################################################################################################### | 100%
freetype-2.10.4 | 890 KB | ########################################################################################################################### | 100%
pyopenssl-22.0.0 | 120 KB | ########################################################################################################################### | 100%
requests-2.28.1 | 53 KB | ########################################################################################################################### | 100%
nettle-3.6 | 6.5 MB | ########################################################################################################################### | 100%
ca-certificates-2022 | 150 KB | ########################################################################################################################### | 100%
torchvision-0.13.1 | 7.7 MB | ########################################################################################################################### | 100%
charset-normalizer-2 | 36 KB | ########################################################################################################################### | 100%
bzip2-1.0.8 | 484 KB | ########################################################################################################################### | 100%
certifi-2022.9.24 | 155 KB | ########################################################################################################################### | 100%
intel-openmp-2021.4. | 4.2 MB | ########################################################################################################################### | 100%
blas-1.0 | 6 KB | ########################################################################################################################### | 100%
mkl-2021.4.0 | 142.6 MB | ########################################################################################################################### | 100%
ffmpeg-4.3 | 9.9 MB | ########################################################################################################################### | 100%
cffi-1.14.6 | 226 KB | ########################################################################################################################### | 100%
brotlipy-0.7.0 | 342 KB | ########################################################################################################################### | 100%
pysocks-1.7.1 | 19 KB | ########################################################################################################################### | 100%
libiconv-1.17 | 1.4 MB | ########################################################################################################################### | 100%
gmp-6.2.1 | 806 KB | ########################################################################################################################### | 100%
openjpeg-2.4.0 | 444 KB | ########################################################################################################################### | 100%
typing_extensions-4. | 29 KB | ########################################################################################################################### | 100%
libwebp-base-1.2.2 | 824 KB | ########################################################################################################################### | 100%
cryptography-37.0.2 | 1.5 MB | ########################################################################################################################### | 100%
torchaudio-0.12.1 | 6.2 MB | ########################################################################################################################### | 100%
libpng-1.6.37 | 306 KB | ########################################################################################################################### | 100%
mkl_random-1.2.2 | 364 KB | ########################################################################################################################### | 100%
python_abi-3.8 | 4 KB | ########################################################################################################################### | 100%
pycparser-2.21 | 100 KB | ########################################################################################################################### | 100%
mkl-service-2.4.0 | 61 KB | ########################################################################################################################### | 100%
lame-3.100 | 496 KB | ########################################################################################################################### | 100%
lcms2-2.12 | 443 KB | ########################################################################################################################### | 100%
six-1.16.0 | 14 KB | ########################################################################################################################### | 100%
zstd-1.5.0 | 490 KB | ########################################################################################################################### | 100%
pytorch-mutex-1.0 | 3 KB | ########################################################################################################################### | 100%
idna-3.4 | 55 KB | ########################################################################################################################### | 100%
olefile-0.46 | 32 KB | ########################################################################################################################### | 100%
mkl_fft-1.3.1 | 213 KB | ########################################################################################################################### | 100%
libtiff-4.2.0 | 590 KB | ########################################################################################################################### | 100%
jpeg-9e | 268 KB | ########################################################################################################################### | 100%
openssl-1.1.1o | 2.1 MB | ########################################################################################################################### | 100%
cudatoolkit-11.6.0 | 821.2 MB | ########################################################################################################################### | 100%
Preparing transaction: done
Verifying transaction: done
Executing transaction: / By downloading and using the CUDA Toolkit conda packages, you accept the terms and conditions of the CUDA End User License Agreement (EULA): https://docs.nvidia.com/cuda/eula/index.html
done
$ pip list
Package Version
------------------ ---------
brotlipy 0.7.0
certifi 2022.9.24
cffi 1.14.6
charset-normalizer 2.1.1
cryptography 37.0.2
idna 3.4
mkl-fft 1.3.1
mkl-random 1.2.2
mkl-service 2.4.0
numpy 1.23.1
olefile 0.46
Pillow 8.2.0
pip 22.2.2
pycparser 2.21
pyOpenSSL 22.0.0
PySocks 1.7.1
requests 2.28.1
setuptools 63.4.1
six 1.16.0
torch 1.12.1
torchaudio 0.12.1
torchvision 0.13.1
typing_extensions 4.4.0
urllib3 1.26.11
wheel 0.37.1
$ python --version
Python 3.8.13
$ python
Python 3.8.13 (default, Mar 28 2022, 11:38:47)
[GCC 7.5.0] :: Anaconda, Inc. on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import torch
>>> x = torch.rand(5, 3)
>>> print(x)
tensor([[0.3916, 0.1399, 0.1719],
[0.7075, 0.6833, 0.8973],
[0.7452, 0.3193, 0.2473],
[0.6819, 0.8641, 0.6296],
[0.0478, 0.7371, 0.3067]])
>>> torch.cuda.is_available()
True
>>> exit()
$
安装 jupyter notebook
- 安装
jupyter notebook
,并配置其密码
和工作目录
。
(base) luyanfeng@amax:~$ conda env list
# conda environments:
#
base * /home/luyanfeng/miniconda3
pytorch-tutorials /home/luyanfeng/miniconda3/envs/pytorch-tutorials
(base) luyanfeng@amax:~$ conda activate pytorch-tutorials
(pytorch-tutorials) luyanfeng@amax:~$ pip list
Package Version
------------------ ---------
brotlipy 0.7.0
certifi 2022.9.24
cffi 1.14.6
charset-normalizer 2.1.1
cryptography 37.0.2
idna 3.4
mkl-fft 1.3.1
mkl-random 1.2.2
mkl-service 2.4.0
numpy 1.23.1
olefile 0.46
Pillow 8.2.0
pip 22.2.2
pycparser 2.21
pyOpenSSL 22.0.0
PySocks 1.7.1
requests 2.28.1
setuptools 63.4.1
six 1.16.0
torch 1.12.1
torchaudio 0.12.1
torchvision 0.13.1
typing_extensions 4.4.0
urllib3 1.26.11
wheel 0.37.1
(pytorch-tutorials) luyanfeng@amax:~$ pip install jupyter
Collecting jupyter
Downloading jupyter-1.0.0-py2.py3-none-any.whl (2.7 kB)
Collecting nbconvert
Downloading nbconvert-7.2.1-py3-none-any.whl (271 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 271.6/271.6 kB 1.2 MB/s eta 0:00:00
Collecting ipykernel
Downloading ipykernel-6.16.0-py3-none-any.whl (138 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 138.4/138.4 kB 2.9 MB/s eta 0:00:00
Collecting jupyter-console
Downloading jupyter_console-6.4.4-py3-none-any.whl (22 kB)
Collecting qtconsole
Downloading qtconsole-5.3.2-py3-none-any.whl (120 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 120.8/120.8 kB 2.4 MB/s eta 0:00:00
Collecting ipywidgets
Downloading ipywidgets-8.0.2-py3-none-any.whl (134 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 134.4/134.4 kB 3.0 MB/s eta 0:00:00
Collecting notebook
Downloading notebook-6.4.12-py3-none-any.whl (9.9 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 9.9/9.9 MB 19.7 MB/s eta 0:00:00
Collecting jupyter-client>=6.1.12
Downloading jupyter_client-7.3.5-py3-none-any.whl (132 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 132.1/132.1 kB 3.3 MB/s eta 0:00:00
Collecting debugpy>=1.0
Downloading debugpy-1.6.3-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (1.8 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.8/1.8 MB 24.5 MB/s eta 0:00:00
Collecting ipython>=7.23.1
Downloading ipython-8.5.0-py3-none-any.whl (752 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 752.0/752.0 kB 17.9 MB/s eta 0:00:00
Collecting pyzmq>=17
Downloading pyzmq-24.0.1-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (1.1 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.1/1.1 MB 17.2 MB/s eta 0:00:00
Collecting packaging
Downloading packaging-21.3-py3-none-any.whl (40 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 40.8/40.8 kB 994.4 kB/s eta 0:00:00
Collecting tornado>=6.1
Downloading tornado-6.2-cp37-abi3-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (423 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 424.0/424.0 kB 8.9 MB/s eta 0:00:00
Collecting traitlets>=5.1.0
Downloading traitlets-5.4.0-py3-none-any.whl (107 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 107.1/107.1 kB 2.6 MB/s eta 0:00:00
Collecting matplotlib-inline>=0.1
Downloading matplotlib_inline-0.1.6-py3-none-any.whl (9.4 kB)
Collecting psutil
Downloading psutil-5.9.2-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (284 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 284.8/284.8 kB 6.2 MB/s eta 0:00:00
Collecting nest-asyncio
Downloading nest_asyncio-1.5.6-py3-none-any.whl (5.2 kB)
Collecting jupyterlab-widgets~=3.0
Downloading jupyterlab_widgets-3.0.3-py3-none-any.whl (384 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 384.1/384.1 kB 10.1 MB/s eta 0:00:00
Collecting widgetsnbextension~=4.0
Downloading widgetsnbextension-4.0.3-py3-none-any.whl (2.0 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2.0/2.0 MB 29.3 MB/s eta 0:00:00
Collecting pygments
Downloading Pygments-2.13.0-py3-none-any.whl (1.1 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.1/1.1 MB 19.7 MB/s eta 0:00:00
Collecting prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0
Downloading prompt_toolkit-3.0.31-py3-none-any.whl (382 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 382.3/382.3 kB 9.8 MB/s eta 0:00:00
Collecting jupyterlab-pygments
Downloading jupyterlab_pygments-0.2.2-py2.py3-none-any.whl (21 kB)
Collecting bleach
Downloading bleach-5.0.1-py3-none-any.whl (160 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 160.9/160.9 kB 4.1 MB/s eta 0:00:00
Collecting jupyter-core>=4.7
Downloading jupyter_core-4.11.1-py3-none-any.whl (88 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 88.4/88.4 kB 2.4 MB/s eta 0:00:00
Collecting beautifulsoup4
Downloading beautifulsoup4-4.11.1-py3-none-any.whl (128 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 128.2/128.2 kB 3.2 MB/s eta 0:00:00
Collecting nbformat>=5.1
Downloading nbformat-5.6.1-py3-none-any.whl (77 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 77.0/77.0 kB 1.8 MB/s eta 0:00:00
Collecting markupsafe>=2.0
Downloading MarkupSafe-2.1.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (25 kB)
Collecting importlib-metadata>=3.6
Downloading importlib_metadata-5.0.0-py3-none-any.whl (21 kB)
Collecting pandocfilters>=1.4.1
Downloading pandocfilters-1.5.0-py2.py3-none-any.whl (8.7 kB)
Collecting nbclient>=0.5.0
Downloading nbclient-0.7.0-py3-none-any.whl (71 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 71.9/71.9 kB 1.2 MB/s eta 0:00:00
Collecting jinja2>=3.0
Downloading Jinja2-3.1.2-py3-none-any.whl (133 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 133.1/133.1 kB 3.8 MB/s eta 0:00:00
Collecting mistune<3,>=2.0.3
Downloading mistune-2.0.4-py2.py3-none-any.whl (24 kB)
Collecting tinycss2
Downloading tinycss2-1.1.1-py3-none-any.whl (21 kB)
Collecting defusedxml
Downloading defusedxml-0.7.1-py2.py3-none-any.whl (25 kB)
Collecting prometheus-client
Downloading prometheus_client-0.14.1-py3-none-any.whl (59 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 59.5/59.5 kB 1.8 MB/s eta 0:00:00
Collecting argon2-cffi
Downloading argon2_cffi-21.3.0-py3-none-any.whl (14 kB)
Collecting terminado>=0.8.3
Downloading terminado-0.16.0-py3-none-any.whl (16 kB)
Collecting Send2Trash>=1.8.0
Downloading Send2Trash-1.8.0-py3-none-any.whl (18 kB)
Collecting ipython-genutils
Downloading ipython_genutils-0.2.0-py2.py3-none-any.whl (26 kB)
Collecting qtpy>=2.0.1
Downloading QtPy-2.2.1-py3-none-any.whl (82 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 82.6/82.6 kB 2.4 MB/s eta 0:00:00
Collecting zipp>=0.5
Downloading zipp-3.8.1-py3-none-any.whl (5.6 kB)
Collecting decorator
Downloading decorator-5.1.1-py3-none-any.whl (9.1 kB)
Collecting backcall
Downloading backcall-0.2.0-py2.py3-none-any.whl (11 kB)
Collecting jedi>=0.16
Downloading jedi-0.18.1-py2.py3-none-any.whl (1.6 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.6/1.6 MB 28.3 MB/s eta 0:00:00
Collecting stack-data
Downloading stack_data-0.5.1-py3-none-any.whl (24 kB)
Collecting pexpect>4.3
Downloading pexpect-4.8.0-py2.py3-none-any.whl (59 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 59.0/59.0 kB 1.8 MB/s eta 0:00:00
Collecting pickleshare
Downloading pickleshare-0.7.5-py2.py3-none-any.whl (6.9 kB)
Collecting entrypoints
Downloading entrypoints-0.4-py3-none-any.whl (5.3 kB)
Collecting python-dateutil>=2.8.2
Using cached python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB)
Collecting fastjsonschema
Downloading fastjsonschema-2.16.2-py3-none-any.whl (22 kB)
Collecting jsonschema>=2.6
Downloading jsonschema-4.16.0-py3-none-any.whl (83 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 83.1/83.1 kB 2.6 MB/s eta 0:00:00
Collecting wcwidth
Downloading wcwidth-0.2.5-py2.py3-none-any.whl (30 kB)
Collecting ptyprocess
Downloading ptyprocess-0.7.0-py2.py3-none-any.whl (13 kB)
Collecting argon2-cffi-bindings
Downloading argon2_cffi_bindings-21.2.0-cp36-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (86 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 86.2/86.2 kB 1.7 MB/s eta 0:00:00
Collecting soupsieve>1.2
Downloading soupsieve-2.3.2.post1-py3-none-any.whl (37 kB)
Collecting webencodings
Downloading webencodings-0.5.1-py2.py3-none-any.whl (11 kB)
Requirement already satisfied: six>=1.9.0 in ./miniconda3/envs/pytorch-tutorials/lib/python3.8/site-packages (from bleach->nbconvert->jupyter) (1.16.0)
Collecting pyparsing!=3.0.5,>=2.0.2
Using cached pyparsing-3.0.9-py3-none-any.whl (98 kB)
Collecting parso<0.9.0,>=0.8.0
Downloading parso-0.8.3-py2.py3-none-any.whl (100 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100.8/100.8 kB 602.3 kB/s eta 0:00:00
Collecting attrs>=17.4.0
Downloading attrs-22.1.0-py2.py3-none-any.whl (58 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 58.8/58.8 kB 1.5 MB/s eta 0:00:00
Collecting importlib-resources>=1.4.0
Downloading importlib_resources-5.10.0-py3-none-any.whl (34 kB)
Collecting pkgutil-resolve-name>=1.3.10
Downloading pkgutil_resolve_name-1.3.10-py3-none-any.whl (4.7 kB)
Collecting pyrsistent!=0.17.0,!=0.17.1,!=0.17.2,>=0.14.0
Downloading pyrsistent-0.18.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (119 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 119.8/119.8 kB 2.9 MB/s eta 0:00:00
Requirement already satisfied: cffi>=1.0.1 in ./miniconda3/envs/pytorch-tutorials/lib/python3.8/site-packages (from argon2-cffi-bindings->argon2-cffi->notebook->jupyter) (1.14.6)
Collecting pure-eval
Downloading pure_eval-0.2.2-py3-none-any.whl (11 kB)
Collecting asttokens
Downloading asttokens-2.0.8-py2.py3-none-any.whl (23 kB)
Collecting executing
Downloading executing-1.1.0-py2.py3-none-any.whl (22 kB)
Requirement already satisfied: pycparser in ./miniconda3/envs/pytorch-tutorials/lib/python3.8/site-packages (from cffi>=1.0.1->argon2-cffi-bindings->argon2-cffi->notebook->jupyter) (2.21)
Installing collected packages: webencodings, wcwidth, Send2Trash, pure-eval, ptyprocess, pickleshare, mistune, ipython-genutils, fastjsonschema, executing, backcall, zipp, widgetsnbextension, traitlets, tornado, tinycss2, soupsieve, pyzmq, python-dateutil, pyrsistent, pyparsing, pygments, psutil, prompt-toolkit, prometheus-client, pkgutil-resolve-name, pexpect, parso, pandocfilters, nest-asyncio, markupsafe, jupyterlab-widgets, jupyterlab-pygments, entrypoints, defusedxml, decorator, debugpy, bleach, attrs, asttokens, terminado, stack-data, packaging, matplotlib-inline, jupyter-core, jinja2, jedi, importlib-resources, importlib-metadata, beautifulsoup4, argon2-cffi-bindings, qtpy, jupyter-client, jsonschema, ipython, argon2-cffi, nbformat, ipykernel, qtconsole, nbclient, jupyter-console, ipywidgets, nbconvert, notebook, jupyter
Successfully installed Send2Trash-1.8.0 argon2-cffi-21.3.0 argon2-cffi-bindings-21.2.0 asttokens-2.0.8 attrs-22.1.0 backcall-0.2.0 beautifulsoup4-4.11.1 bleach-5.0.1 debugpy-1.6.3 decorator-5.1.1 defusedxml-0.7.1 entrypoints-0.4 executing-1.1.0 fastjsonschema-2.16.2 importlib-metadata-5.0.0 importlib-resources-5.10.0 ipykernel-6.16.0 ipython-8.5.0 ipython-genutils-0.2.0 ipywidgets-8.0.2 jedi-0.18.1 jinja2-3.1.2 jsonschema-4.16.0 jupyter-1.0.0 jupyter-client-7.3.5 jupyter-console-6.4.4 jupyter-core-4.11.1 jupyterlab-pygments-0.2.2 jupyterlab-widgets-3.0.3 markupsafe-2.1.1 matplotlib-inline-0.1.6 mistune-2.0.4 nbclient-0.7.0 nbconvert-7.2.1 nbformat-5.6.1 nest-asyncio-1.5.6 notebook-6.4.12 packaging-21.3 pandocfilters-1.5.0 parso-0.8.3 pexpect-4.8.0 pickleshare-0.7.5 pkgutil-resolve-name-1.3.10 prometheus-client-0.14.1 prompt-toolkit-3.0.31 psutil-5.9.2 ptyprocess-0.7.0 pure-eval-0.2.2 pygments-2.13.0 pyparsing-3.0.9 pyrsistent-0.18.1 python-dateutil-2.8.2 pyzmq-24.0.1 qtconsole-5.3.2 qtpy-2.2.1 soupsieve-2.3.2.post1 stack-data-0.5.1 terminado-0.16.0 tinycss2-1.1.1 tornado-6.2 traitlets-5.4.0 wcwidth-0.2.5 webencodings-0.5.1 widgetsnbextension-4.0.3 zipp-3.8.1
(pytorch-tutorials) luyanfeng@amax:~$ pip list
Package Version
-------------------- -----------
argon2-cffi 21.3.0
argon2-cffi-bindings 21.2.0
asttokens 2.0.8
attrs 22.1.0
backcall 0.2.0
beautifulsoup4 4.11.1
bleach 5.0.1
brotlipy 0.7.0
certifi 2022.9.24
cffi 1.14.6
charset-normalizer 2.1.1
cryptography 37.0.2
debugpy 1.6.3
decorator 5.1.1
defusedxml 0.7.1
entrypoints 0.4
executing 1.1.0
fastjsonschema 2.16.2
idna 3.4
importlib-metadata 5.0.0
importlib-resources 5.10.0
ipykernel 6.16.0
ipython 8.5.0
ipython-genutils 0.2.0
ipywidgets 8.0.2
jedi 0.18.1
Jinja2 3.1.2
jsonschema 4.16.0
jupyter 1.0.0
jupyter_client 7.3.5
jupyter-console 6.4.4
jupyter-core 4.11.1
jupyterlab-pygments 0.2.2
jupyterlab-widgets 3.0.3
MarkupSafe 2.1.1
matplotlib-inline 0.1.6
mistune 2.0.4
mkl-fft 1.3.1
mkl-random 1.2.2
mkl-service 2.4.0
nbclient 0.7.0
nbconvert 7.2.1
nbformat 5.6.1
nest-asyncio 1.5.6
notebook 6.4.12
numpy 1.23.1
olefile 0.46
packaging 21.3
pandocfilters 1.5.0
parso 0.8.3
pexpect 4.8.0
pickleshare 0.7.5
Pillow 8.2.0
pip 22.2.2
pkgutil_resolve_name 1.3.10
prometheus-client 0.14.1
prompt-toolkit 3.0.31
psutil 5.9.2
ptyprocess 0.7.0
pure-eval 0.2.2
pycparser 2.21
Pygments 2.13.0
pyOpenSSL 22.0.0
pyparsing 3.0.9
pyrsistent 0.18.1
PySocks 1.7.1
python-dateutil 2.8.2
pyzmq 24.0.1
qtconsole 5.3.2
QtPy 2.2.1
requests 2.28.1
Send2Trash 1.8.0
setuptools 63.4.1
six 1.16.0
soupsieve 2.3.2.post1
stack-data 0.5.1
terminado 0.16.0
tinycss2 1.1.1
torch 1.12.1
torchaudio 0.12.1
torchvision 0.13.1
tornado 6.2
traitlets 5.4.0
typing_extensions 4.4.0
urllib3 1.26.11
wcwidth 0.2.5
webencodings 0.5.1
wheel 0.37.1
widgetsnbextension 4.0.3
zipp 3.8.1
(pytorch-tutorials) luyanfeng@amax:~$ jupyter notebook password
Enter password:
Verify password:
[NotebookPasswordApp] Wrote hashed password to /home/luyanfeng/.jupyter/jupyter_notebook_config.json
(pytorch-tutorials) luyanfeng@amax:~$ jupyter notebook --generate-config
Writing default config to: /home/luyanfeng/.jupyter/jupyter_notebook_config.py
(pytorch-tutorials) luyanfeng@amax:~$ cat /home/luyanfeng/.jupyter/jupyter_notebook_config.py
# Configuration file for jupyter-notebook.
c = get_config() # noqa
#------------------------------------------------------------------------------
# Application(SingletonConfigurable) configuration
#------------------------------------------------------------------------------
## This is an application.
## The date format used by logging formatters for %(asctime)s
# Default: '%Y-%m-%d %H:%M:%S'
# c.Application.log_datefmt = '%Y-%m-%d %H:%M:%S'
## The Logging format template
# Default: '[%(name)s]%(highlevel)s %(message)s'
# c.Application.log_format = '[%(name)s]%(highlevel)s %(message)s'
## Set the log level by value or name.
# Choices: any of [0, 10, 20, 30, 40, 50, 'DEBUG', 'INFO', 'WARN', 'ERROR', 'CRITICAL']
# Default: 30
# c.Application.log_level = 30
## Configure additional log handlers.
#
# The default stderr logs handler is configured by the log_level, log_datefmt
# and log_format settings.
#
# This configuration can be used to configure additional handlers (e.g. to
# output the log to a file) or for finer control over the default handlers.
#
# If provided this should be a logging configuration dictionary, for more
# information see:
# https://docs.python.org/3/library/logging.config.html#logging-config-
# dictschema
#
# This dictionary is merged with the base logging configuration which defines
# the following:
#
# * A logging formatter intended for interactive use called
# ``console``.
# * A logging handler that writes to stderr called
# ``console`` which uses the formatter ``console``.
# * A logger with the name of this application set to ``DEBUG``
# level.
#
# This example adds a new handler that writes to a file:
#
# .. code-block:: python
#
# c.Application.logging_config = {
# 'handlers': {
# 'file': {
# 'class': 'logging.FileHandler',
# 'level': 'DEBUG',
# 'filename': '<path/to/file>',
# }
# },
# 'loggers': {
# '<application-name>': {
# 'level': 'DEBUG',
# # NOTE: if you don't list the default "console"
# # handler here then it will be disabled
# 'handlers': ['console', 'file'],
# },
# }
# }
# Default: {}
# c.Application.logging_config = {}
## Instead of starting the Application, dump configuration to stdout
# Default: False
# c.Application.show_config = False
## Instead of starting the Application, dump configuration to stdout (as JSON)
# Default: False
# c.Application.show_config_json = False
#------------------------------------------------------------------------------
# JupyterApp(Application) configuration
#------------------------------------------------------------------------------
## Base class for Jupyter applications
## Answer yes to any prompts.
# Default: False
# c.JupyterApp.answer_yes = False
## Full path of a config file.
# Default: ''
# c.JupyterApp.config_file = ''
## Specify a config file to load.
# Default: ''
# c.JupyterApp.config_file_name = ''
## Generate default config file.
# Default: False
# c.JupyterApp.generate_config = False
## The date format used by logging formatters for %(asctime)s
# See also: Application.log_datefmt
# c.JupyterApp.log_datefmt = '%Y-%m-%d %H:%M:%S'
## The Logging format template
# See also: Application.log_format
# c.JupyterApp.log_format = '[%(name)s]%(highlevel)s %(message)s'
## Set the log level by value or name.
# See also: Application.log_level
# c.JupyterApp.log_level = 30
##
# See also: Application.logging_config
# c.JupyterApp.logging_config = {}
## Instead of starting the Application, dump configuration to stdout
# See also: Application.show_config
# c.JupyterApp.show_config = False
## Instead of starting the Application, dump configuration to stdout (as JSON)
# See also: Application.show_config_json
# c.JupyterApp.show_config_json = False
#------------------------------------------------------------------------------
# NotebookApp(JupyterApp) configuration
#------------------------------------------------------------------------------
## Set the Access-Control-Allow-Credentials: true header
# Default: False
# c.NotebookApp.allow_credentials = False
## Set the Access-Control-Allow-Origin header
#
# Use '*' to allow any origin to access your server.
#
# Takes precedence over allow_origin_pat.
# Default: ''
# c.NotebookApp.allow_origin = ''
## Use a regular expression for the Access-Control-Allow-Origin header
#
# Requests from an origin matching the expression will get replies with:
#
# Access-Control-Allow-Origin: origin
#
# where `origin` is the origin of the request.
#
# Ignored if allow_origin is set.
# Default: ''
# c.NotebookApp.allow_origin_pat = ''
## Allow password to be changed at login for the notebook server.
#
# While logging in with a token, the notebook server UI will give the opportunity to
# the user to enter a new password at the same time that will replace
# the token login mechanism.
#
# This can be set to false to prevent changing password from
# the UI/API.
# Default: True
# c.NotebookApp.allow_password_change = True
## Allow requests where the Host header doesn't point to a local server
#
# By default, requests get a 403 forbidden response if the 'Host' header
# shows that the browser thinks it's on a non-local domain.
# Setting this option to True disables this check.
#
# This protects against 'DNS rebinding' attacks, where a remote web server
# serves you a page and then changes its DNS to send later requests to a
# local IP, bypassing same-origin checks.
#
# Local IP addresses (such as 127.0.0.1 and ::1) are allowed as local,
# along with hostnames configured in local_hostnames.
# Default: False
# c.NotebookApp.allow_remote_access = False
## Whether to allow the user to run the notebook as root.
# Default: False
# c.NotebookApp.allow_root = False
## Answer yes to any prompts.
# See also: JupyterApp.answer_yes
# c.NotebookApp.answer_yes = False
## "
# Require authentication to access prometheus metrics.
# Default: True
# c.NotebookApp.authenticate_prometheus = True
## Reload the webapp when changes are made to any Python src files.
# Default: False
# c.NotebookApp.autoreload = False
## DEPRECATED use base_url
# Default: '/'
# c.NotebookApp.base_project_url = '/'
## The base URL for the notebook server.
#
# Leading and trailing slashes can be omitted,
# and will automatically be added.
# Default: '/'
# c.NotebookApp.base_url = '/'
## Specify what command to use to invoke a web
# browser when opening the notebook. If not specified, the
# default browser will be determined by the `webbrowser`
# standard library module, which allows setting of the
# BROWSER environment variable to override it.
# Default: ''
# c.NotebookApp.browser = ''
## The full path to an SSL/TLS certificate file.
# Default: ''
# c.NotebookApp.certfile = ''
## The full path to a certificate authority certificate for SSL/TLS client
# authentication.
# Default: ''
# c.NotebookApp.client_ca = ''
## Full path of a config file.
# See also: JupyterApp.config_file
# c.NotebookApp.config_file = ''
## Specify a config file to load.
# See also: JupyterApp.config_file_name
# c.NotebookApp.config_file_name = ''
## The config manager class to use
# Default: 'notebook.services.config.manager.ConfigManager'
# c.NotebookApp.config_manager_class = 'notebook.services.config.manager.ConfigManager'
## The notebook manager class to use.
# Default: 'notebook.services.contents.largefilemanager.LargeFileManager'
# c.NotebookApp.contents_manager_class = 'notebook.services.contents.largefilemanager.LargeFileManager'
## Extra keyword arguments to pass to `set_secure_cookie`. See tornado's
# set_secure_cookie docs for details.
# Default: {}
# c.NotebookApp.cookie_options = {}
## The random bytes used to secure cookies.
# By default this is a new random number every time you start the Notebook.
# Set it to a value in a config file to enable logins to persist across server sessions.
#
# Note: Cookie secrets should be kept private, do not share config files with
# cookie_secret stored in plaintext (you can read the value from a file).
# Default: b''
# c.NotebookApp.cookie_secret = b''
## The file where the cookie secret is stored.
# Default: ''
# c.NotebookApp.cookie_secret_file = ''
## Override URL shown to users.
#
# Replace actual URL, including protocol, address, port and base URL,
# with the given value when displaying URL to the users. Do not change
# the actual connection URL. If authentication token is enabled, the
# token is added to the custom URL automatically.
#
# This option is intended to be used when the URL to display to the user
# cannot be determined reliably by the Jupyter notebook server (proxified
# or containerized setups for example).
# Default: ''
# c.NotebookApp.custom_display_url = ''
## The default URL to redirect to from `/`
# Default: '/tree'
# c.NotebookApp.default_url = '/tree'
## Disable cross-site-request-forgery protection
#
# Jupyter notebook 4.3.1 introduces protection from cross-site request forgeries,
# requiring API requests to either:
#
# - originate from pages served by this server (validated with XSRF cookie and token), or
# - authenticate with a token
#
# Some anonymous compute resources still desire the ability to run code,
# completely without authentication.
# These services can disable all authentication and security checks,
# with the full knowledge of what that implies.
# Default: False
# c.NotebookApp.disable_check_xsrf = False
## Whether to enable MathJax for typesetting math/TeX
#
# MathJax is the javascript library Jupyter uses to render math/LaTeX. It is
# very large, so you may want to disable it if you have a slow internet
# connection, or for offline use of the notebook.
#
# When disabled, equations etc. will appear as their untransformed TeX
# source.
# Default: True
# c.NotebookApp.enable_mathjax = True
## extra paths to look for Javascript notebook extensions
# Default: []
# c.NotebookApp.extra_nbextensions_path = []
## handlers that should be loaded at higher priority than the default services
# Default: []
# c.NotebookApp.extra_services = []
## Extra paths to search for serving static files.
#
# This allows adding javascript/css to be available from the notebook server machine,
# or overriding individual files in the IPython
# Default: []
# c.NotebookApp.extra_static_paths = []
## Extra paths to search for serving jinja templates.
#
# Can be used to override templates from notebook.templates.
# Default: []
# c.NotebookApp.extra_template_paths = []
# Default: ''
# c.NotebookApp.file_to_run = ''
## Generate default config file.
# See also: JupyterApp.generate_config
# c.NotebookApp.generate_config = False
## Extra keyword arguments to pass to `get_secure_cookie`. See tornado's
# get_secure_cookie docs for details.
# Default: {}
# c.NotebookApp.get_secure_cookie_kwargs = {}
## Deprecated: Use minified JS file or not, mainly use during dev to avoid JS
# recompilation
# Default: False
# c.NotebookApp.ignore_minified_js = False
## (bytes/sec)
# Maximum rate at which stream output can be sent on iopub before they are
# limited.
# Default: 1000000
# c.NotebookApp.iopub_data_rate_limit = 1000000
## (msgs/sec)
# Maximum rate at which messages can be sent on iopub before they are
# limited.
# Default: 1000
# c.NotebookApp.iopub_msg_rate_limit = 1000
## The IP address the notebook server will listen on.
# Default: 'localhost'
# c.NotebookApp.ip = 'localhost'
## Supply extra arguments that will be passed to Jinja environment.
# Default: {}
# c.NotebookApp.jinja_environment_options = {}
## Extra variables to supply to jinja templates when rendering.
# Default: {}
# c.NotebookApp.jinja_template_vars = {}
## The kernel manager class to use.
# Default: 'notebook.services.kernels.kernelmanager.MappingKernelManager'
# c.NotebookApp.kernel_manager_class = 'notebook.services.kernels.kernelmanager.MappingKernelManager'
## The kernel spec manager class to use. Should be a subclass of
# `jupyter_client.kernelspec.KernelSpecManager`.
#
# The Api of KernelSpecManager is provisional and might change without warning
# between this version of Jupyter and the next stable one.
# Default: 'jupyter_client.kernelspec.KernelSpecManager'
# c.NotebookApp.kernel_spec_manager_class = 'jupyter_client.kernelspec.KernelSpecManager'
## The full path to a private key file for usage with SSL/TLS.
# Default: ''
# c.NotebookApp.keyfile = ''
## Hostnames to allow as local when allow_remote_access is False.
#
# Local IP addresses (such as 127.0.0.1 and ::1) are automatically accepted
# as local as well.
# Default: ['localhost']
# c.NotebookApp.local_hostnames = ['localhost']
## The date format used by logging formatters for %(asctime)s
# See also: Application.log_datefmt
# c.NotebookApp.log_datefmt = '%Y-%m-%d %H:%M:%S'
## The Logging format template
# See also: Application.log_format
# c.NotebookApp.log_format = '[%(name)s]%(highlevel)s %(message)s'
## Set to True to enable JSON formatted logs. Run "pip install notebook[json-
# logging]" to install the required dependent packages. Can also be set using
# the environment variable JUPYTER_ENABLE_JSON_LOGGING=true.
# Default: False
# c.NotebookApp.log_json = False
## Set the log level by value or name.
# See also: Application.log_level
# c.NotebookApp.log_level = 30
##
# See also: Application.logging_config
# c.NotebookApp.logging_config = {}
## The login handler class to use.
# Default: 'notebook.auth.login.LoginHandler'
# c.NotebookApp.login_handler_class = 'notebook.auth.login.LoginHandler'
## The logout handler class to use.
# Default: 'notebook.auth.logout.LogoutHandler'
# c.NotebookApp.logout_handler_class = 'notebook.auth.logout.LogoutHandler'
## The MathJax.js configuration file that is to be used.
# Default: 'TeX-AMS-MML_HTMLorMML-full,Safe'
# c.NotebookApp.mathjax_config = 'TeX-AMS-MML_HTMLorMML-full,Safe'
## A custom url for MathJax.js.
# Should be in the form of a case-sensitive url to MathJax,
# for example: /static/components/MathJax/MathJax.js
# Default: ''
# c.NotebookApp.mathjax_url = ''
## Sets the maximum allowed size of the client request body, specified in the
# Content-Length request header field. If the size in a request exceeds the
# configured value, a malformed HTTP message is returned to the client.
#
# Note: max_body_size is applied even in streaming mode.
# Default: 536870912
# c.NotebookApp.max_body_size = 536870912
## Gets or sets the maximum amount of memory, in bytes, that is allocated for use
# by the buffer manager.
# Default: 536870912
# c.NotebookApp.max_buffer_size = 536870912
## Gets or sets a lower bound on the open file handles process resource limit.
# This may need to be increased if you run into an OSError: [Errno 24] Too many
# open files. This is not applicable when running on Windows.
# Default: 0
# c.NotebookApp.min_open_files_limit = 0
## Dict of Python modules to load as notebook server extensions. Entry values can
# be used to enable and disable the loading of the extensions. The extensions
# will be loaded in alphabetical order.
# Default: {}
# c.NotebookApp.nbserver_extensions = {}
## The directory to use for notebooks and kernels.
# Default: ''
# c.NotebookApp.notebook_dir = ''
## Whether to open in a browser after starting.
# The specific browser used is platform dependent and
# determined by the python standard library `webbrowser`
# module, unless it is overridden using the --browser
# (NotebookApp.browser) configuration option.
# Default: True
# c.NotebookApp.open_browser = True
## Hashed password to use for web authentication.
#
# To generate, type in a python/IPython shell:
#
# from notebook.auth import passwd; passwd()
#
# The string should be of the form type:salt:hashed-
# password.
# Default: ''
# c.NotebookApp.password = ''
## Forces users to use a password for the Notebook server.
# This is useful in a multi user environment, for instance when
# everybody in the LAN can access each other's machine through ssh.
#
# In such a case, serving the notebook server on localhost is not secure
# since any user can connect to the notebook server via ssh.
# Default: False
# c.NotebookApp.password_required = False
## The port the notebook server will listen on (env: JUPYTER_PORT).
# Default: 8888
# c.NotebookApp.port = 8888
## The number of additional ports to try if the specified port is not available
# (env: JUPYTER_PORT_RETRIES).
# Default: 50
# c.NotebookApp.port_retries = 50
## DISABLED: use %pylab or %matplotlib in the notebook to enable matplotlib.
# Default: 'disabled'
# c.NotebookApp.pylab = 'disabled'
## If True, display a button in the dashboard to quit
# (shutdown the notebook server).
# Default: True
# c.NotebookApp.quit_button = True
## (sec) Time window used to
# check the message and data rate limits.
# Default: 3
# c.NotebookApp.rate_limit_window = 3
## Reraise exceptions encountered loading server extensions?
# Default: False
# c.NotebookApp.reraise_server_extension_failures = False
## DEPRECATED use the nbserver_extensions dict instead
# Default: []
# c.NotebookApp.server_extensions = []
## The session manager class to use.
# Default: 'notebook.services.sessions.sessionmanager.SessionManager'
# c.NotebookApp.session_manager_class = 'notebook.services.sessions.sessionmanager.SessionManager'
## Instead of starting the Application, dump configuration to stdout
# See also: Application.show_config
# c.NotebookApp.show_config = False
## Instead of starting the Application, dump configuration to stdout (as JSON)
# See also: Application.show_config_json
# c.NotebookApp.show_config_json = False
## Shut down the server after N seconds with no kernels or terminals running and
# no activity. This can be used together with culling idle kernels
# (MappingKernelManager.cull_idle_timeout) to shutdown the notebook server when
# it's not in use. This is not precisely timed: it may shut down up to a minute
# later. 0 (the default) disables this automatic shutdown.
# Default: 0
# c.NotebookApp.shutdown_no_activity_timeout = 0
## The UNIX socket the notebook server will listen on.
# Default: ''
# c.NotebookApp.sock = ''
## The permissions mode for UNIX socket creation (default: 0600).
# Default: '0600'
# c.NotebookApp.sock_mode = '0600'
## Supply SSL options for the tornado HTTPServer.
# See the tornado docs for details.
# Default: {}
# c.NotebookApp.ssl_options = {}
## Supply overrides for terminado. Currently only supports "shell_command". On
# Unix, if "shell_command" is not provided, a non-login shell is launched by
# default when the notebook server is connected to a terminal, a login shell
# otherwise.
# Default: {}
# c.NotebookApp.terminado_settings = {}
## Set to False to disable terminals.
#
# This does *not* make the notebook server more secure by itself.
# Anything the user can in a terminal, they can also do in a notebook.
#
# Terminals may also be automatically disabled if the terminado package
# is not available.
# Default: True
# c.NotebookApp.terminals_enabled = True
## Token used for authenticating first-time connections to the server.
#
# The token can be read from the file referenced by JUPYTER_TOKEN_FILE or set directly
# with the JUPYTER_TOKEN environment variable.
#
# When no password is enabled,
# the default is to generate a new, random token.
#
# Setting to an empty string disables authentication altogether, which
# is NOT RECOMMENDED.
# Default: '<generated>'
# c.NotebookApp.token = '<generated>'
## Supply overrides for the tornado.web.Application that the Jupyter notebook
# uses.
# Default: {}
# c.NotebookApp.tornado_settings = {}
## Whether to trust or not X-Scheme/X-Forwarded-Proto and X-Real-Ip/X-Forwarded-
# For headers sent by the upstream reverse proxy. Necessary if the proxy handles
# SSL
# Default: False
# c.NotebookApp.trust_xheaders = False
## Disable launching browser by redirect file
#
# For versions of notebook > 5.7.2, a security feature measure was added that
# prevented the authentication token used to launch the browser from being visible.
# This feature makes it difficult for other users on a multi-user system from
# running code in your Jupyter session as you.
#
# However, some environments (like Windows Subsystem for Linux (WSL) and Chromebooks),
# launching a browser using a redirect file can lead the browser failing to load.
# This is because of the difference in file structures/paths between the runtime and
# the browser.
#
# Disabling this setting to False will disable this behavior, allowing the browser
# to launch by using a URL and visible token (as before).
# Default: True
# c.NotebookApp.use_redirect_file = True
## DEPRECATED, use tornado_settings
# Default: {}
# c.NotebookApp.webapp_settings = {}
## Specify Where to open the notebook on startup. This is the
# `new` argument passed to the standard library method `webbrowser.open`.
# The behaviour is not guaranteed, but depends on browser support. Valid
# values are:
#
# - 2 opens a new tab,
# - 1 opens a new window,
# - 0 opens in an existing window.
#
# See the `webbrowser.open` documentation for details.
# Default: 2
# c.NotebookApp.webbrowser_open_new = 2
## Set the tornado compression options for websocket connections.
#
# This value will be returned from
# :meth:`WebSocketHandler.get_compression_options`. None (default) will disable
# compression. A dict (even an empty one) will enable compression.
#
# See the tornado docs for WebSocketHandler.get_compression_options for details.
# Default: None
# c.NotebookApp.websocket_compression_options = None
## The base URL for websockets,
# if it differs from the HTTP server (hint: it almost certainly doesn't).
#
# Should be in the form of an HTTP origin: ws[s]://hostname[:port]
# Default: ''
# c.NotebookApp.websocket_url = ''
#------------------------------------------------------------------------------
# ConnectionFileMixin(LoggingConfigurable) configuration
#------------------------------------------------------------------------------
## Mixin for configurable classes that work with connection files
## JSON file in which to store connection info [default: kernel-<pid>.json]
#
# This file will contain the IP, ports, and authentication key needed to connect
# clients to this kernel. By default, this file will be created in the security dir
# of the current profile, but can be specified by absolute path.
# Default: ''
# c.ConnectionFileMixin.connection_file = ''
## set the control (ROUTER) port [default: random]
# Default: 0
# c.ConnectionFileMixin.control_port = 0
## set the heartbeat port [default: random]
# Default: 0
# c.ConnectionFileMixin.hb_port = 0
## set the iopub (PUB) port [default: random]
# Default: 0
# c.ConnectionFileMixin.iopub_port = 0
## Set the kernel's IP address [default localhost].
# If the IP address is something other than localhost, then
# Consoles on other machines will be able to connect
# to the Kernel, so be careful!
# Default: ''
# c.ConnectionFileMixin.ip = ''
## set the shell (ROUTER) port [default: random]
# Default: 0
# c.ConnectionFileMixin.shell_port = 0
## set the stdin (ROUTER) port [default: random]
# Default: 0
# c.ConnectionFileMixin.stdin_port = 0
# Choices: any of ['tcp', 'ipc'] (case-insensitive)
# Default: 'tcp'
# c.ConnectionFileMixin.transport = 'tcp'
#------------------------------------------------------------------------------
# KernelManager(ConnectionFileMixin) configuration
#------------------------------------------------------------------------------
## Manages a single kernel in a subprocess on this host.
#
# This version starts kernels with Popen.
## Should we autorestart the kernel if it dies.
# Default: True
# c.KernelManager.autorestart = True
## JSON file in which to store connection info [default: kernel-<pid>.json]
# See also: ConnectionFileMixin.connection_file
# c.KernelManager.connection_file = ''
## set the control (ROUTER) port [default: random]
# See also: ConnectionFileMixin.control_port
# c.KernelManager.control_port = 0
## set the heartbeat port [default: random]
# See also: ConnectionFileMixin.hb_port
# c.KernelManager.hb_port = 0
## set the iopub (PUB) port [default: random]
# See also: ConnectionFileMixin.iopub_port
# c.KernelManager.iopub_port = 0
## Set the kernel's IP address [default localhost].
# See also: ConnectionFileMixin.ip
# c.KernelManager.ip = ''
## set the shell (ROUTER) port [default: random]
# See also: ConnectionFileMixin.shell_port
# c.KernelManager.shell_port = 0
## Time to wait for a kernel to terminate before killing it, in seconds. When a
# shutdown request is initiated, the kernel will be immediately sent an
# interrupt (SIGINT), followedby a shutdown_request message, after 1/2 of
# `shutdown_wait_time`it will be sent a terminate (SIGTERM) request, and finally
# at the end of `shutdown_wait_time` will be killed (SIGKILL). terminate and
# kill may be equivalent on windows. Note that this value can beoverridden by
# the in-use kernel provisioner since shutdown times mayvary by provisioned
# environment.
# Default: 5.0
# c.KernelManager.shutdown_wait_time = 5.0
## set the stdin (ROUTER) port [default: random]
# See also: ConnectionFileMixin.stdin_port
# c.KernelManager.stdin_port = 0
# See also: ConnectionFileMixin.transport
# c.KernelManager.transport = 'tcp'
#------------------------------------------------------------------------------
# Session(Configurable) configuration
#------------------------------------------------------------------------------
## Object for handling serialization and sending of messages.
#
# The Session object handles building messages and sending them
# with ZMQ sockets or ZMQStream objects. Objects can communicate with each
# other over the network via Session objects, and only need to work with the
# dict-based IPython message spec. The Session will handle
# serialization/deserialization, security, and metadata.
#
# Sessions support configurable serialization via packer/unpacker traits,
# and signing with HMAC digests via the key/keyfile traits.
#
# Parameters
# ----------
#
# debug : bool
# whether to trigger extra debugging statements
# packer/unpacker : str : 'json', 'pickle' or import_string
# importstrings for methods to serialize message parts. If just
# 'json' or 'pickle', predefined JSON and pickle packers will be used.
# Otherwise, the entire importstring must be used.
#
# The functions must accept at least valid JSON input, and output
# *bytes*.
#
# For example, to use msgpack:
# packer = 'msgpack.packb', unpacker='msgpack.unpackb'
# pack/unpack : callables
# You can also set the pack/unpack callables for serialization directly.
# session : bytes
# the ID of this Session object. The default is to generate a new UUID.
# username : unicode
# username added to message headers. The default is to ask the OS.
# key : bytes
# The key used to initialize an HMAC signature. If unset, messages
# will not be signed or checked.
# keyfile : filepath
# The file containing a key. If this is set, `key` will be initialized
# to the contents of the file.
## Threshold (in bytes) beyond which an object's buffer should be extracted to
# avoid pickling.
# Default: 1024
# c.Session.buffer_threshold = 1024
## Whether to check PID to protect against calls after fork.
#
# This check can be disabled if fork-safety is handled elsewhere.
# Default: True
# c.Session.check_pid = True
## Threshold (in bytes) beyond which a buffer should be sent without copying.
# Default: 65536
# c.Session.copy_threshold = 65536
## Debug output in the Session
# Default: False
# c.Session.debug = False
## The maximum number of digests to remember.
#
# The digest history will be culled when it exceeds this value.
# Default: 65536
# c.Session.digest_history_size = 65536
## The maximum number of items for a container to be introspected for custom serialization.
# Containers larger than this are pickled outright.
# Default: 64
# c.Session.item_threshold = 64
## execution key, for signing messages.
# Default: b''
# c.Session.key = b''
## path to file containing execution key.
# Default: ''
# c.Session.keyfile = ''
## Metadata dictionary, which serves as the default top-level metadata dict for
# each message.
# Default: {}
# c.Session.metadata = {}
## The name of the packer for serializing messages.
# Should be one of 'json', 'pickle', or an import name
# for a custom callable serializer.
# Default: 'json'
# c.Session.packer = 'json'
## The UUID identifying this session.
# Default: ''
# c.Session.session = ''
## The digest scheme used to construct the message signatures.
# Must have the form 'hmac-HASH'.
# Default: 'hmac-sha256'
# c.Session.signature_scheme = 'hmac-sha256'
## The name of the unpacker for unserializing messages.
# Only used with custom functions for `packer`.
# Default: 'json'
# c.Session.unpacker = 'json'
## Username for the Session. Default is your system username.
# Default: 'luyanfeng'
# c.Session.username = 'luyanfeng'
#------------------------------------------------------------------------------
# MultiKernelManager(LoggingConfigurable) configuration
#------------------------------------------------------------------------------
## A class for managing multiple kernels.
## The name of the default kernel to start
# Default: 'python3'
# c.MultiKernelManager.default_kernel_name = 'python3'
## The kernel manager class. This is configurable to allow
# subclassing of the KernelManager for customized behavior.
# Default: 'jupyter_client.ioloop.IOLoopKernelManager'
# c.MultiKernelManager.kernel_manager_class = 'jupyter_client.ioloop.IOLoopKernelManager'
## Share a single zmq.Context to talk to all my kernels
# Default: True
# c.MultiKernelManager.shared_context = True
#------------------------------------------------------------------------------
# MappingKernelManager(MultiKernelManager) configuration
#------------------------------------------------------------------------------
## A KernelManager that handles notebook mapping and HTTP error handling
## White list of allowed kernel message types.
# When the list is empty, all message types are allowed.
# Default: []
# c.MappingKernelManager.allowed_message_types = []
## Whether messages from kernels whose frontends have disconnected should be buffered in-memory.
# When True (default), messages are buffered and replayed on reconnect,
# avoiding lost messages due to interrupted connectivity.
# Disable if long-running kernels will produce too much output while
# no frontends are connected.
# Default: True
# c.MappingKernelManager.buffer_offline_messages = True
## Whether to consider culling kernels which are busy.
# Only effective if cull_idle_timeout > 0.
# Default: False
# c.MappingKernelManager.cull_busy = False
## Whether to consider culling kernels which have one or more connections.
# Only effective if cull_idle_timeout > 0.
# Default: False
# c.MappingKernelManager.cull_connected = False
## Timeout (in seconds) after which a kernel is considered idle and ready to be culled.
# Values of 0 or lower disable culling. Very short timeouts may result in kernels being culled
# for users with poor network connections.
# Default: 0
# c.MappingKernelManager.cull_idle_timeout = 0
## The interval (in seconds) on which to check for idle kernels exceeding the
# cull timeout value.
# Default: 300
# c.MappingKernelManager.cull_interval = 300
## The name of the default kernel to start
# See also: MultiKernelManager.default_kernel_name
# c.MappingKernelManager.default_kernel_name = 'python3'
## Timeout for giving up on a kernel (in seconds).
# On starting and restarting kernels, we check whether the
# kernel is running and responsive by sending kernel_info_requests.
# This sets the timeout in seconds for how long the kernel can take
# before being presumed dead.
# This affects the MappingKernelManager (which handles kernel restarts)
# and the ZMQChannelsHandler (which handles the startup).
# Default: 60
# c.MappingKernelManager.kernel_info_timeout = 60
## The kernel manager class. This is configurable to allow
# See also: MultiKernelManager.kernel_manager_class
# c.MappingKernelManager.kernel_manager_class = 'jupyter_client.ioloop.IOLoopKernelManager'
# Default: ''
# c.MappingKernelManager.root_dir = ''
## Share a single zmq.Context to talk to all my kernels
# See also: MultiKernelManager.shared_context
# c.MappingKernelManager.shared_context = True
#------------------------------------------------------------------------------
# KernelSpecManager(LoggingConfigurable) configuration
#------------------------------------------------------------------------------
## List of allowed kernel names.
#
# By default, all installed kernels are allowed.
# Default: set()
# c.KernelSpecManager.allowed_kernelspecs = set()
## If there is no Python kernelspec registered and the IPython
# kernel is available, ensure it is added to the spec list.
# Default: True
# c.KernelSpecManager.ensure_native_kernel = True
## The kernel spec class. This is configurable to allow
# subclassing of the KernelSpecManager for customized behavior.
# Default: 'jupyter_client.kernelspec.KernelSpec'
# c.KernelSpecManager.kernel_spec_class = 'jupyter_client.kernelspec.KernelSpec'
## Deprecated, use `KernelSpecManager.allowed_kernelspecs`
# Default: set()
# c.KernelSpecManager.whitelist = set()
#------------------------------------------------------------------------------
# ContentsManager(LoggingConfigurable) configuration
#------------------------------------------------------------------------------
## Base class for serving files and directories.
#
# This serves any text or binary file,
# as well as directories,
# with special handling for JSON notebook documents.
#
# Most APIs take a path argument,
# which is always an API-style unicode path,
# and always refers to a directory.
#
# - unicode, not url-escaped
# - '/'-separated
# - leading and trailing '/' will be stripped
# - if unspecified, path defaults to '',
# indicating the root path.
## Allow access to hidden files
# Default: False
# c.ContentsManager.allow_hidden = False
# Default: None
# c.ContentsManager.checkpoints = None
# Default: 'notebook.services.contents.checkpoints.Checkpoints'
# c.ContentsManager.checkpoints_class = 'notebook.services.contents.checkpoints.Checkpoints'
# Default: {}
# c.ContentsManager.checkpoints_kwargs = {}
## handler class to use when serving raw file requests.
#
# Default is a fallback that talks to the ContentsManager API,
# which may be inefficient, especially for large files.
#
# Local files-based ContentsManagers can use a StaticFileHandler subclass,
# which will be much more efficient.
#
# Access to these files should be Authenticated.
# Default: 'notebook.files.handlers.FilesHandler'
# c.ContentsManager.files_handler_class = 'notebook.files.handlers.FilesHandler'
## Extra parameters to pass to files_handler_class.
#
# For example, StaticFileHandlers generally expect a `path` argument
# specifying the root directory from which to serve files.
# Default: {}
# c.ContentsManager.files_handler_params = {}
## Glob patterns to hide in file and directory listings.
# Default: ['__pycache__', '*.pyc', '*.pyo', '.DS_Store', '*.so', '*.dylib', '*~']
# c.ContentsManager.hide_globs = ['__pycache__', '*.pyc', '*.pyo', '.DS_Store', '*.so', '*.dylib', '*~']
## Python callable or importstring thereof
#
# To be called on a contents model prior to save.
#
# This can be used to process the structure,
# such as removing notebook outputs or other side effects that
# should not be saved.
#
# It will be called as (all arguments passed by keyword)::
#
# hook(path=path, model=model, contents_manager=self)
#
# - model: the model to be saved. Includes file contents.
# Modifying this dict will affect the file that is stored.
# - path: the API path of the save destination
# - contents_manager: this ContentsManager instance
# Default: None
# c.ContentsManager.pre_save_hook = None
# Default: '/'
# c.ContentsManager.root_dir = '/'
## The base name used when creating untitled directories.
# Default: 'Untitled Folder'
# c.ContentsManager.untitled_directory = 'Untitled Folder'
## The base name used when creating untitled files.
# Default: 'untitled'
# c.ContentsManager.untitled_file = 'untitled'
## The base name used when creating untitled notebooks.
# Default: 'Untitled'
# c.ContentsManager.untitled_notebook = 'Untitled'
#------------------------------------------------------------------------------
# FileManagerMixin(Configurable) configuration
#------------------------------------------------------------------------------
## Mixin for ContentsAPI classes that interact with the filesystem.
#
# Provides facilities for reading, writing, and copying both notebooks and
# generic files.
#
# Shared by FileContentsManager and FileCheckpoints.
#
# Note ---- Classes using this mixin must provide the following attributes:
#
# root_dir : unicode
# A directory against which API-style paths are to be resolved.
#
# log : logging.Logger
## By default notebooks are saved on disk on a temporary file and then if successfully written, it replaces the old ones.
# This procedure, namely 'atomic_writing', causes some bugs on file system without operation order enforcement (like some networked fs).
# If set to False, the new notebook is written directly on the old one which could fail (eg: full filesystem or quota )
# Default: True
# c.FileManagerMixin.use_atomic_writing = True
#------------------------------------------------------------------------------
# FileContentsManager(FileManagerMixin, ContentsManager) configuration
#------------------------------------------------------------------------------
## Allow access to hidden files
# See also: ContentsManager.allow_hidden
# c.FileContentsManager.allow_hidden = False
# See also: ContentsManager.checkpoints
# c.FileContentsManager.checkpoints = None
# See also: ContentsManager.checkpoints_class
# c.FileContentsManager.checkpoints_class = 'notebook.services.contents.checkpoints.Checkpoints'
# See also: ContentsManager.checkpoints_kwargs
# c.FileContentsManager.checkpoints_kwargs = {}
## If True (default), deleting files will send them to the
# platform's trash/recycle bin, where they can be recovered. If False,
# deleting files really deletes them.
# Default: True
# c.FileContentsManager.delete_to_trash = True
## handler class to use when serving raw file requests.
# See also: ContentsManager.files_handler_class
# c.FileContentsManager.files_handler_class = 'notebook.files.handlers.FilesHandler'
## Extra parameters to pass to files_handler_class.
# See also: ContentsManager.files_handler_params
# c.FileContentsManager.files_handler_params = {}
##
# See also: ContentsManager.hide_globs
# c.FileContentsManager.hide_globs = ['__pycache__', '*.pyc', '*.pyo', '.DS_Store', '*.so', '*.dylib', '*~']
## Python callable or importstring thereof
#
# to be called on the path of a file just saved.
#
# This can be used to process the file on disk,
# such as converting the notebook to a script or HTML via nbconvert.
#
# It will be called as (all arguments passed by keyword)::
#
# hook(os_path=os_path, model=model, contents_manager=instance)
#
# - path: the filesystem path to the file just written
# - model: the model representing the file
# - contents_manager: this ContentsManager instance
# Default: None
# c.FileContentsManager.post_save_hook = None
## Python callable or importstring thereof
# See also: ContentsManager.pre_save_hook
# c.FileContentsManager.pre_save_hook = None
# Default: ''
# c.FileContentsManager.root_dir = ''
## DEPRECATED, use post_save_hook. Will be removed in Notebook 5.0
# Default: False
# c.FileContentsManager.save_script = False
## The base name used when creating untitled directories.
# See also: ContentsManager.untitled_directory
# c.FileContentsManager.untitled_directory = 'Untitled Folder'
## The base name used when creating untitled files.
# See also: ContentsManager.untitled_file
# c.FileContentsManager.untitled_file = 'untitled'
## The base name used when creating untitled notebooks.
# See also: ContentsManager.untitled_notebook
# c.FileContentsManager.untitled_notebook = 'Untitled'
## By default notebooks are saved on disk on a temporary file and then if
# successfully written, it replaces the old ones.
# See also: FileManagerMixin.use_atomic_writing
# c.FileContentsManager.use_atomic_writing = True
#------------------------------------------------------------------------------
# NotebookNotary(LoggingConfigurable) configuration
#------------------------------------------------------------------------------
## A class for computing and verifying notebook signatures.
## The hashing algorithm used to sign notebooks.
# Choices: any of ['sha256', 'sha3_224', 'sha384', 'md5', 'sha3_256', 'sha3_512', 'sha1', 'sha224', 'blake2s', 'sha3_384', 'sha512', 'blake2b']
# Default: 'sha256'
# c.NotebookNotary.algorithm = 'sha256'
## The storage directory for notary secret and database.
# Default: ''
# c.NotebookNotary.data_dir = ''
## The sqlite file in which to store notebook signatures.
# By default, this will be in your Jupyter data directory.
# You can set it to ':memory:' to disable sqlite writing to the filesystem.
# Default: ''
# c.NotebookNotary.db_file = ''
## The secret key with which notebooks are signed.
# Default: b''
# c.NotebookNotary.secret = b''
## The file where the secret key is stored.
# Default: ''
# c.NotebookNotary.secret_file = ''
## A callable returning the storage backend for notebook signatures.
# The default uses an SQLite database.
# Default: traitlets.Undefined
# c.NotebookNotary.store_factory = traitlets.Undefined
#------------------------------------------------------------------------------
# AsyncMultiKernelManager(MultiKernelManager) configuration
#------------------------------------------------------------------------------
## The name of the default kernel to start
# See also: MultiKernelManager.default_kernel_name
# c.AsyncMultiKernelManager.default_kernel_name = 'python3'
## The kernel manager class. This is configurable to allow
# subclassing of the AsyncKernelManager for customized behavior.
# Default: 'jupyter_client.ioloop.AsyncIOLoopKernelManager'
# c.AsyncMultiKernelManager.kernel_manager_class = 'jupyter_client.ioloop.AsyncIOLoopKernelManager'
## Share a single zmq.Context to talk to all my kernels
# See also: MultiKernelManager.shared_context
# c.AsyncMultiKernelManager.shared_context = True
## Whether to make kernels available before the process has started. The
# kernel has a `.ready` future which can be awaited before connecting
# Default: False
# c.AsyncMultiKernelManager.use_pending_kernels = False
#------------------------------------------------------------------------------
# AsyncMappingKernelManager(MappingKernelManager, AsyncMultiKernelManager) configuration
#------------------------------------------------------------------------------
## White list of allowed kernel message types.
# See also: MappingKernelManager.allowed_message_types
# c.AsyncMappingKernelManager.allowed_message_types = []
## Whether messages from kernels whose frontends have disconnected should be
# buffered in-memory.
# See also: MappingKernelManager.buffer_offline_messages
# c.AsyncMappingKernelManager.buffer_offline_messages = True
## Whether to consider culling kernels which are busy.
# See also: MappingKernelManager.cull_busy
# c.AsyncMappingKernelManager.cull_busy = False
## Whether to consider culling kernels which have one or more connections.
# See also: MappingKernelManager.cull_connected
# c.AsyncMappingKernelManager.cull_connected = False
## Timeout (in seconds) after which a kernel is considered idle and ready to be
# culled.
# See also: MappingKernelManager.cull_idle_timeout
# c.AsyncMappingKernelManager.cull_idle_timeout = 0
## The interval (in seconds) on which to check for idle kernels exceeding the
# cull timeout value.
# See also: MappingKernelManager.cull_interval
# c.AsyncMappingKernelManager.cull_interval = 300
## The name of the default kernel to start
# See also: MultiKernelManager.default_kernel_name
# c.AsyncMappingKernelManager.default_kernel_name = 'python3'
## Timeout for giving up on a kernel (in seconds).
# See also: MappingKernelManager.kernel_info_timeout
# c.AsyncMappingKernelManager.kernel_info_timeout = 60
## The kernel manager class. This is configurable to allow
# See also: AsyncMultiKernelManager.kernel_manager_class
# c.AsyncMappingKernelManager.kernel_manager_class = 'jupyter_client.ioloop.AsyncIOLoopKernelManager'
# See also: MappingKernelManager.root_dir
# c.AsyncMappingKernelManager.root_dir = ''
## Share a single zmq.Context to talk to all my kernels
# See also: MultiKernelManager.shared_context
# c.AsyncMappingKernelManager.shared_context = True
## Whether to make kernels available before the process has started. The
# See also: AsyncMultiKernelManager.use_pending_kernels
# c.AsyncMappingKernelManager.use_pending_kernels = False
#------------------------------------------------------------------------------
# GatewayKernelManager(AsyncMappingKernelManager) configuration
#------------------------------------------------------------------------------
## Kernel manager that supports remote kernels hosted by Jupyter Kernel or
# Enterprise Gateway.
## White list of allowed kernel message types.
# See also: MappingKernelManager.allowed_message_types
# c.GatewayKernelManager.allowed_message_types = []
## Whether messages from kernels whose frontends have disconnected should be
# buffered in-memory.
# See also: MappingKernelManager.buffer_offline_messages
# c.GatewayKernelManager.buffer_offline_messages = True
## Whether to consider culling kernels which are busy.
# See also: MappingKernelManager.cull_busy
# c.GatewayKernelManager.cull_busy = False
## Whether to consider culling kernels which have one or more connections.
# See also: MappingKernelManager.cull_connected
# c.GatewayKernelManager.cull_connected = False
## Timeout (in seconds) after which a kernel is considered idle and ready to be
# culled.
# See also: MappingKernelManager.cull_idle_timeout
# c.GatewayKernelManager.cull_idle_timeout = 0
## The interval (in seconds) on which to check for idle kernels exceeding the
# cull timeout value.
# See also: MappingKernelManager.cull_interval
# c.GatewayKernelManager.cull_interval = 300
## The name of the default kernel to start
# See also: MultiKernelManager.default_kernel_name
# c.GatewayKernelManager.default_kernel_name = 'python3'
## Timeout for giving up on a kernel (in seconds).
# See also: MappingKernelManager.kernel_info_timeout
# c.GatewayKernelManager.kernel_info_timeout = 60
## The kernel manager class. This is configurable to allow
# See also: AsyncMultiKernelManager.kernel_manager_class
# c.GatewayKernelManager.kernel_manager_class = 'jupyter_client.ioloop.AsyncIOLoopKernelManager'
# See also: MappingKernelManager.root_dir
# c.GatewayKernelManager.root_dir = ''
## Share a single zmq.Context to talk to all my kernels
# See also: MultiKernelManager.shared_context
# c.GatewayKernelManager.shared_context = True
## Whether to make kernels available before the process has started. The
# See also: AsyncMultiKernelManager.use_pending_kernels
# c.GatewayKernelManager.use_pending_kernels = False
#------------------------------------------------------------------------------
# GatewayKernelSpecManager(KernelSpecManager) configuration
#------------------------------------------------------------------------------
## List of allowed kernel names.
# See also: KernelSpecManager.allowed_kernelspecs
# c.GatewayKernelSpecManager.allowed_kernelspecs = set()
## If there is no Python kernelspec registered and the IPython
# See also: KernelSpecManager.ensure_native_kernel
# c.GatewayKernelSpecManager.ensure_native_kernel = True
## The kernel spec class. This is configurable to allow
# See also: KernelSpecManager.kernel_spec_class
# c.GatewayKernelSpecManager.kernel_spec_class = 'jupyter_client.kernelspec.KernelSpec'
## Deprecated, use `KernelSpecManager.allowed_kernelspecs`
# See also: KernelSpecManager.whitelist
# c.GatewayKernelSpecManager.whitelist = set()
#------------------------------------------------------------------------------
# GatewayClient(SingletonConfigurable) configuration
#------------------------------------------------------------------------------
## This class manages the configuration. It's its own singleton class so that we
# can share these values across all objects. It also contains some helper methods
# to build request arguments out of the various config options.
## The authorization token used in the HTTP headers. (JUPYTER_GATEWAY_AUTH_TOKEN
# env var)
# Default: None
# c.GatewayClient.auth_token = None
## The filename of CA certificates or None to use defaults.
# (JUPYTER_GATEWAY_CA_CERTS env var)
# Default: None
# c.GatewayClient.ca_certs = None
## The filename for client SSL certificate, if any. (JUPYTER_GATEWAY_CLIENT_CERT
# env var)
# Default: None
# c.GatewayClient.client_cert = None
## The filename for client SSL key, if any. (JUPYTER_GATEWAY_CLIENT_KEY env var)
# Default: None
# c.GatewayClient.client_key = None
## The time allowed for HTTP connection establishment with the Gateway server.
# (JUPYTER_GATEWAY_CONNECT_TIMEOUT env var)
# Default: 40.0
# c.GatewayClient.connect_timeout = 40.0
## A comma-separated list of environment variable names that will be included, along with
# their values, in the kernel startup request. The corresponding `env_whitelist` configuration
# value must also be set on the Gateway server - since that configuration value indicates which
# environmental values to make available to the kernel. (JUPYTER_GATEWAY_ENV_WHITELIST env var)
# Default: ''
# c.GatewayClient.env_whitelist = ''
## The time allowed for HTTP reconnection with the Gateway server for the first time.
# Next will be JUPYTER_GATEWAY_RETRY_INTERVAL multiplied by two in factor of numbers of retries
# but less than JUPYTER_GATEWAY_RETRY_INTERVAL_MAX.
# (JUPYTER_GATEWAY_RETRY_INTERVAL env var)
# Default: 1.0
# c.GatewayClient.gateway_retry_interval = 1.0
## The maximum time allowed for HTTP reconnection retry with the Gateway server.
# (JUPYTER_GATEWAY_RETRY_INTERVAL_MAX env var)
# Default: 30.0
# c.GatewayClient.gateway_retry_interval_max = 30.0
## The maximum retries allowed for HTTP reconnection with the Gateway server.
# (JUPYTER_GATEWAY_RETRY_MAX env var)
# Default: 5
# c.GatewayClient.gateway_retry_max = 5
## Additional HTTP headers to pass on the request. This value will be converted to a dict.
# (JUPYTER_GATEWAY_HEADERS env var)
# Default: '{}'
# c.GatewayClient.headers = '{}'
## The password for HTTP authentication. (JUPYTER_GATEWAY_HTTP_PWD env var)
# Default: None
# c.GatewayClient.http_pwd = None
## The username for HTTP authentication. (JUPYTER_GATEWAY_HTTP_USER env var)
# Default: None
# c.GatewayClient.http_user = None
## The gateway API endpoint for accessing kernel resources
# (JUPYTER_GATEWAY_KERNELS_ENDPOINT env var)
# Default: '/api/kernels'
# c.GatewayClient.kernels_endpoint = '/api/kernels'
## The gateway API endpoint for accessing kernelspecs
# (JUPYTER_GATEWAY_KERNELSPECS_ENDPOINT env var)
# Default: '/api/kernelspecs'
# c.GatewayClient.kernelspecs_endpoint = '/api/kernelspecs'
## The gateway endpoint for accessing kernelspecs resources
# (JUPYTER_GATEWAY_KERNELSPECS_RESOURCE_ENDPOINT env var)
# Default: '/kernelspecs'
# c.GatewayClient.kernelspecs_resource_endpoint = '/kernelspecs'
## The time allowed for HTTP request completion. (JUPYTER_GATEWAY_REQUEST_TIMEOUT
# env var)
# Default: 40.0
# c.GatewayClient.request_timeout = 40.0
## The url of the Kernel or Enterprise Gateway server where
# kernel specifications are defined and kernel management takes place.
# If defined, this Notebook server acts as a proxy for all kernel
# management and kernel specification retrieval. (JUPYTER_GATEWAY_URL env var)
# Default: None
# c.GatewayClient.url = None
## For HTTPS requests, determines if server's certificate should be validated or not.
# (JUPYTER_GATEWAY_VALIDATE_CERT env var)
# Default: True
# c.GatewayClient.validate_cert = True
## The websocket url of the Kernel or Enterprise Gateway server. If not provided, this value
# will correspond to the value of the Gateway url with 'ws' in place of 'http'. (JUPYTER_GATEWAY_WS_URL env var)
# Default: None
# c.GatewayClient.ws_url = None
#------------------------------------------------------------------------------
# TerminalManager(LoggingConfigurable) configuration
#------------------------------------------------------------------------------
##
## Timeout (in seconds) in which a terminal has been inactive and ready to be culled.
# Values of 0 or lower disable culling.
# Default: 0
# c.TerminalManager.cull_inactive_timeout = 0
## The interval (in seconds) on which to check for terminals exceeding the
# inactive timeout value.
# Default: 300
(pytorch-tutorials) luyanfeng@amax:~$ # 在 /home/luyanfeng/.jupyter/jupyter_notebook_config.py 文件中,找到 # c.NotebookApp.notebook_dir = '',删除 `#`,即取消注释, 并在末尾的 '' 中填写 jupyter notebook 工作目录
(pytorch-tutorials) luyanfeng@amax:~$ vim /home/luyanfeng/.jupyter/jupyter_notebook_config.py
(pytorch-tutorials) luyanfeng@amax:~$ cat /home/luyanfeng/.jupyter/jupyter_notebook_config.py
# Configuration file for jupyter-notebook.
c = get_config() # noqa
#------------------------------------------------------------------------------
# Application(SingletonConfigurable) configuration
#------------------------------------------------------------------------------
## This is an application.
## The date format used by logging formatters for %(asctime)s
# Default: '%Y-%m-%d %H:%M:%S'
# c.Application.log_datefmt = '%Y-%m-%d %H:%M:%S'
## The Logging format template
# Default: '[%(name)s]%(highlevel)s %(message)s'
# c.Application.log_format = '[%(name)s]%(highlevel)s %(message)s'
## Set the log level by value or name.
# Choices: any of [0, 10, 20, 30, 40, 50, 'DEBUG', 'INFO', 'WARN', 'ERROR', 'CRITICAL']
# Default: 30
# c.Application.log_level = 30
## Configure additional log handlers.
#
# The default stderr logs handler is configured by the log_level, log_datefmt
# and log_format settings.
#
# This configuration can be used to configure additional handlers (e.g. to
# output the log to a file) or for finer control over the default handlers.
#
# If provided this should be a logging configuration dictionary, for more
# information see:
# https://docs.python.org/3/library/logging.config.html#logging-config-
# dictschema
#
# This dictionary is merged with the base logging configuration which defines
# the following:
#
# * A logging formatter intended for interactive use called
# ``console``.
# * A logging handler that writes to stderr called
# ``console`` which uses the formatter ``console``.
# * A logger with the name of this application set to ``DEBUG``
# level.
#
# This example adds a new handler that writes to a file:
#
# .. code-block:: python
#
# c.Application.logging_config = {
# 'handlers': {
# 'file': {
# 'class': 'logging.FileHandler',
# 'level': 'DEBUG',
# 'filename': '<path/to/file>',
# }
# },
# 'loggers': {
# '<application-name>': {
# 'level': 'DEBUG',
# # NOTE: if you don't list the default "console"
# # handler here then it will be disabled
# 'handlers': ['console', 'file'],
# },
# }
# }
# Default: {}
# c.Application.logging_config = {}
## Instead of starting the Application, dump configuration to stdout
# Default: False
# c.Application.show_config = False
## Instead of starting the Application, dump configuration to stdout (as JSON)
# Default: False
# c.Application.show_config_json = False
#------------------------------------------------------------------------------
# JupyterApp(Application) configuration
#------------------------------------------------------------------------------
## Base class for Jupyter applications
## Answer yes to any prompts.
# Default: False
# c.JupyterApp.answer_yes = False
## Full path of a config file.
# Default: ''
# c.JupyterApp.config_file = ''
## Specify a config file to load.
# Default: ''
# c.JupyterApp.config_file_name = ''
## Generate default config file.
# Default: False
# c.JupyterApp.generate_config = False
## The date format used by logging formatters for %(asctime)s
# See also: Application.log_datefmt
# c.JupyterApp.log_datefmt = '%Y-%m-%d %H:%M:%S'
## The Logging format template
# See also: Application.log_format
# c.JupyterApp.log_format = '[%(name)s]%(highlevel)s %(message)s'
## Set the log level by value or name.
# See also: Application.log_level
# c.JupyterApp.log_level = 30
##
# See also: Application.logging_config
# c.JupyterApp.logging_config = {}
## Instead of starting the Application, dump configuration to stdout
# See also: Application.show_config
# c.JupyterApp.show_config = False
## Instead of starting the Application, dump configuration to stdout (as JSON)
# See also: Application.show_config_json
# c.JupyterApp.show_config_json = False
#------------------------------------------------------------------------------
# NotebookApp(JupyterApp) configuration
#------------------------------------------------------------------------------
## Set the Access-Control-Allow-Credentials: true header
# Default: False
# c.NotebookApp.allow_credentials = False
## Set the Access-Control-Allow-Origin header
#
# Use '*' to allow any origin to access your server.
#
# Takes precedence over allow_origin_pat.
# Default: ''
# c.NotebookApp.allow_origin = ''
## Use a regular expression for the Access-Control-Allow-Origin header
#
# Requests from an origin matching the expression will get replies with:
#
# Access-Control-Allow-Origin: origin
#
# where `origin` is the origin of the request.
#
# Ignored if allow_origin is set.
# Default: ''
# c.NotebookApp.allow_origin_pat = ''
## Allow password to be changed at login for the notebook server.
#
# While logging in with a token, the notebook server UI will give the opportunity to
# the user to enter a new password at the same time that will replace
# the token login mechanism.
#
# This can be set to false to prevent changing password from
# the UI/API.
# Default: True
# c.NotebookApp.allow_password_change = True
## Allow requests where the Host header doesn't point to a local server
#
# By default, requests get a 403 forbidden response if the 'Host' header
# shows that the browser thinks it's on a non-local domain.
# Setting this option to True disables this check.
#
# This protects against 'DNS rebinding' attacks, where a remote web server
# serves you a page and then changes its DNS to send later requests to a
# local IP, bypassing same-origin checks.
#
# Local IP addresses (such as 127.0.0.1 and ::1) are allowed as local,
# along with hostnames configured in local_hostnames.
# Default: False
# c.NotebookApp.allow_remote_access = False
## Whether to allow the user to run the notebook as root.
# Default: False
# c.NotebookApp.allow_root = False
## Answer yes to any prompts.
# See also: JupyterApp.answer_yes
# c.NotebookApp.answer_yes = False
## "
# Require authentication to access prometheus metrics.
# Default: True
# c.NotebookApp.authenticate_prometheus = True
## Reload the webapp when changes are made to any Python src files.
# Default: False
# c.NotebookApp.autoreload = False
## DEPRECATED use base_url
# Default: '/'
# c.NotebookApp.base_project_url = '/'
## The base URL for the notebook server.
#
# Leading and trailing slashes can be omitted,
# and will automatically be added.
# Default: '/'
# c.NotebookApp.base_url = '/'
## Specify what command to use to invoke a web
# browser when opening the notebook. If not specified, the
# default browser will be determined by the `webbrowser`
# standard library module, which allows setting of the
# BROWSER environment variable to override it.
# Default: ''
# c.NotebookApp.browser = ''
## The full path to an SSL/TLS certificate file.
# Default: ''
# c.NotebookApp.certfile = ''
## The full path to a certificate authority certificate for SSL/TLS client
# authentication.
# Default: ''
# c.NotebookApp.client_ca = ''
## Full path of a config file.
# See also: JupyterApp.config_file
# c.NotebookApp.config_file = ''
## Specify a config file to load.
# See also: JupyterApp.config_file_name
# c.NotebookApp.config_file_name = ''
## The config manager class to use
# Default: 'notebook.services.config.manager.ConfigManager'
# c.NotebookApp.config_manager_class = 'notebook.services.config.manager.ConfigManager'
## The notebook manager class to use.
# Default: 'notebook.services.contents.largefilemanager.LargeFileManager'
# c.NotebookApp.contents_manager_class = 'notebook.services.contents.largefilemanager.LargeFileManager'
## Extra keyword arguments to pass to `set_secure_cookie`. See tornado's
# set_secure_cookie docs for details.
# Default: {}
# c.NotebookApp.cookie_options = {}
## The random bytes used to secure cookies.
# By default this is a new random number every time you start the Notebook.
# Set it to a value in a config file to enable logins to persist across server sessions.
#
# Note: Cookie secrets should be kept private, do not share config files with
# cookie_secret stored in plaintext (you can read the value from a file).
# Default: b''
# c.NotebookApp.cookie_secret = b''
## The file where the cookie secret is stored.
# Default: ''
# c.NotebookApp.cookie_secret_file = ''
## Override URL shown to users.
#
# Replace actual URL, including protocol, address, port and base URL,
# with the given value when displaying URL to the users. Do not change
# the actual connection URL. If authentication token is enabled, the
# token is added to the custom URL automatically.
#
# This option is intended to be used when the URL to display to the user
# cannot be determined reliably by the Jupyter notebook server (proxified
# or containerized setups for example).
# Default: ''
# c.NotebookApp.custom_display_url = ''
## The default URL to redirect to from `/`
# Default: '/tree'
# c.NotebookApp.default_url = '/tree'
## Disable cross-site-request-forgery protection
#
# Jupyter notebook 4.3.1 introduces protection from cross-site request forgeries,
# requiring API requests to either:
#
# - originate from pages served by this server (validated with XSRF cookie and token), or
# - authenticate with a token
#
# Some anonymous compute resources still desire the ability to run code,
# completely without authentication.
# These services can disable all authentication and security checks,
# with the full knowledge of what that implies.
# Default: False
# c.NotebookApp.disable_check_xsrf = False
## Whether to enable MathJax for typesetting math/TeX
#
# MathJax is the javascript library Jupyter uses to render math/LaTeX. It is
# very large, so you may want to disable it if you have a slow internet
# connection, or for offline use of the notebook.
#
# When disabled, equations etc. will appear as their untransformed TeX
# source.
# Default: True
# c.NotebookApp.enable_mathjax = True
## extra paths to look for Javascript notebook extensions
# Default: []
# c.NotebookApp.extra_nbextensions_path = []
## handlers that should be loaded at higher priority than the default services
# Default: []
# c.NotebookApp.extra_services = []
## Extra paths to search for serving static files.
#
# This allows adding javascript/css to be available from the notebook server machine,
# or overriding individual files in the IPython
# Default: []
# c.NotebookApp.extra_static_paths = []
## Extra paths to search for serving jinja templates.
#
# Can be used to override templates from notebook.templates.
# Default: []
# c.NotebookApp.extra_template_paths = []
# Default: ''
# c.NotebookApp.file_to_run = ''
## Generate default config file.
# See also: JupyterApp.generate_config
# c.NotebookApp.generate_config = False
## Extra keyword arguments to pass to `get_secure_cookie`. See tornado's
# get_secure_cookie docs for details.
# Default: {}
# c.NotebookApp.get_secure_cookie_kwargs = {}
## Deprecated: Use minified JS file or not, mainly use during dev to avoid JS
# recompilation
# Default: False
# c.NotebookApp.ignore_minified_js = False
## (bytes/sec)
# Maximum rate at which stream output can be sent on iopub before they are
# limited.
# Default: 1000000
# c.NotebookApp.iopub_data_rate_limit = 1000000
## (msgs/sec)
# Maximum rate at which messages can be sent on iopub before they are
# limited.
# Default: 1000
# c.NotebookApp.iopub_msg_rate_limit = 1000
## The IP address the notebook server will listen on.
# Default: 'localhost'
# c.NotebookApp.ip = 'localhost'
## Supply extra arguments that will be passed to Jinja environment.
# Default: {}
# c.NotebookApp.jinja_environment_options = {}
## Extra variables to supply to jinja templates when rendering.
# Default: {}
# c.NotebookApp.jinja_template_vars = {}
## The kernel manager class to use.
# Default: 'notebook.services.kernels.kernelmanager.MappingKernelManager'
# c.NotebookApp.kernel_manager_class = 'notebook.services.kernels.kernelmanager.MappingKernelManager'
## The kernel spec manager class to use. Should be a subclass of
# `jupyter_client.kernelspec.KernelSpecManager`.
#
# The Api of KernelSpecManager is provisional and might change without warning
# between this version of Jupyter and the next stable one.
# Default: 'jupyter_client.kernelspec.KernelSpecManager'
# c.NotebookApp.kernel_spec_manager_class = 'jupyter_client.kernelspec.KernelSpecManager'
## The full path to a private key file for usage with SSL/TLS.
# Default: ''
# c.NotebookApp.keyfile = ''
## Hostnames to allow as local when allow_remote_access is False.
#
# Local IP addresses (such as 127.0.0.1 and ::1) are automatically accepted
# as local as well.
# Default: ['localhost']
# c.NotebookApp.local_hostnames = ['localhost']
## The date format used by logging formatters for %(asctime)s
# See also: Application.log_datefmt
# c.NotebookApp.log_datefmt = '%Y-%m-%d %H:%M:%S'
## The Logging format template
# See also: Application.log_format
# c.NotebookApp.log_format = '[%(name)s]%(highlevel)s %(message)s'
## Set to True to enable JSON formatted logs. Run "pip install notebook[json-
# logging]" to install the required dependent packages. Can also be set using
# the environment variable JUPYTER_ENABLE_JSON_LOGGING=true.
# Default: False
# c.NotebookApp.log_json = False
## Set the log level by value or name.
# See also: Application.log_level
# c.NotebookApp.log_level = 30
##
# See also: Application.logging_config
# c.NotebookApp.logging_config = {}
## The login handler class to use.
# Default: 'notebook.auth.login.LoginHandler'
# c.NotebookApp.login_handler_class = 'notebook.auth.login.LoginHandler'
## The logout handler class to use.
# Default: 'notebook.auth.logout.LogoutHandler'
# c.NotebookApp.logout_handler_class = 'notebook.auth.logout.LogoutHandler'
## The MathJax.js configuration file that is to be used.
# Default: 'TeX-AMS-MML_HTMLorMML-full,Safe'
# c.NotebookApp.mathjax_config = 'TeX-AMS-MML_HTMLorMML-full,Safe'
## A custom url for MathJax.js.
# Should be in the form of a case-sensitive url to MathJax,
# for example: /static/components/MathJax/MathJax.js
# Default: ''
# c.NotebookApp.mathjax_url = ''
## Sets the maximum allowed size of the client request body, specified in the
# Content-Length request header field. If the size in a request exceeds the
# configured value, a malformed HTTP message is returned to the client.
#
# Note: max_body_size is applied even in streaming mode.
# Default: 536870912
# c.NotebookApp.max_body_size = 536870912
## Gets or sets the maximum amount of memory, in bytes, that is allocated for use
# by the buffer manager.
# Default: 536870912
# c.NotebookApp.max_buffer_size = 536870912
## Gets or sets a lower bound on the open file handles process resource limit.
# This may need to be increased if you run into an OSError: [Errno 24] Too many
# open files. This is not applicable when running on Windows.
# Default: 0
# c.NotebookApp.min_open_files_limit = 0
## Dict of Python modules to load as notebook server extensions. Entry values can
# be used to enable and disable the loading of the extensions. The extensions
# will be loaded in alphabetical order.
# Default: {}
# c.NotebookApp.nbserver_extensions = {}
## The directory to use for notebooks and kernels.
# Default: ''
c.NotebookApp.notebook_dir = '/home/luyanfeng/my_code/my_github/susu-pytorch-tutorials-notes'
## Whether to open in a browser after starting.
# The specific browser used is platform dependent and
# determined by the python standard library `webbrowser`
# module, unless it is overridden using the --browser
# (NotebookApp.browser) configuration option.
# Default: True
# c.NotebookApp.open_browser = True
## Hashed password to use for web authentication.
#
# To generate, type in a python/IPython shell:
#
# from notebook.auth import passwd; passwd()
#
# The string should be of the form type:salt:hashed-
# password.
# Default: ''
# c.NotebookApp.password = ''
## Forces users to use a password for the Notebook server.
# This is useful in a multi user environment, for instance when
# everybody in the LAN can access each other's machine through ssh.
#
# In such a case, serving the notebook server on localhost is not secure
# since any user can connect to the notebook server via ssh.
# Default: False
# c.NotebookApp.password_required = False
## The port the notebook server will listen on (env: JUPYTER_PORT).
# Default: 8888
# c.NotebookApp.port = 8888
## The number of additional ports to try if the specified port is not available
# (env: JUPYTER_PORT_RETRIES).
# Default: 50
# c.NotebookApp.port_retries = 50
## DISABLED: use %pylab or %matplotlib in the notebook to enable matplotlib.
# Default: 'disabled'
# c.NotebookApp.pylab = 'disabled'
## If True, display a button in the dashboard to quit
# (shutdown the notebook server).
# Default: True
# c.NotebookApp.quit_button = True
## (sec) Time window used to
# check the message and data rate limits.
# Default: 3
# c.NotebookApp.rate_limit_window = 3
## Reraise exceptions encountered loading server extensions?
# Default: False
# c.NotebookApp.reraise_server_extension_failures = False
## DEPRECATED use the nbserver_extensions dict instead
# Default: []
# c.NotebookApp.server_extensions = []
## The session manager class to use.
# Default: 'notebook.services.sessions.sessionmanager.SessionManager'
# c.NotebookApp.session_manager_class = 'notebook.services.sessions.sessionmanager.SessionManager'
## Instead of starting the Application, dump configuration to stdout
# See also: Application.show_config
# c.NotebookApp.show_config = False
## Instead of starting the Application, dump configuration to stdout (as JSON)
# See also: Application.show_config_json
# c.NotebookApp.show_config_json = False
## Shut down the server after N seconds with no kernels or terminals running and
# no activity. This can be used together with culling idle kernels
# (MappingKernelManager.cull_idle_timeout) to shutdown the notebook server when
# it's not in use. This is not precisely timed: it may shut down up to a minute
# later. 0 (the default) disables this automatic shutdown.
# Default: 0
# c.NotebookApp.shutdown_no_activity_timeout = 0
## The UNIX socket the notebook server will listen on.
# Default: ''
# c.NotebookApp.sock = ''
## The permissions mode for UNIX socket creation (default: 0600).
# Default: '0600'
# c.NotebookApp.sock_mode = '0600'
## Supply SSL options for the tornado HTTPServer.
# See the tornado docs for details.
# Default: {}
# c.NotebookApp.ssl_options = {}
## Supply overrides for terminado. Currently only supports "shell_command". On
# Unix, if "shell_command" is not provided, a non-login shell is launched by
# default when the notebook server is connected to a terminal, a login shell
# otherwise.
# Default: {}
# c.NotebookApp.terminado_settings = {}
## Set to False to disable terminals.
#
# This does *not* make the notebook server more secure by itself.
# Anything the user can in a terminal, they can also do in a notebook.
#
# Terminals may also be automatically disabled if the terminado package
# is not available.
# Default: True
# c.NotebookApp.terminals_enabled = True
## Token used for authenticating first-time connections to the server.
#
# The token can be read from the file referenced by JUPYTER_TOKEN_FILE or set directly
# with the JUPYTER_TOKEN environment variable.
#
# When no password is enabled,
# the default is to generate a new, random token.
#
# Setting to an empty string disables authentication altogether, which
# is NOT RECOMMENDED.
# Default: '<generated>'
# c.NotebookApp.token = '<generated>'
## Supply overrides for the tornado.web.Application that the Jupyter notebook
# uses.
# Default: {}
# c.NotebookApp.tornado_settings = {}
## Whether to trust or not X-Scheme/X-Forwarded-Proto and X-Real-Ip/X-Forwarded-
# For headers sent by the upstream reverse proxy. Necessary if the proxy handles
# SSL
# Default: False
# c.NotebookApp.trust_xheaders = False
## Disable launching browser by redirect file
#
# For versions of notebook > 5.7.2, a security feature measure was added that
# prevented the authentication token used to launch the browser from being visible.
# This feature makes it difficult for other users on a multi-user system from
# running code in your Jupyter session as you.
#
# However, some environments (like Windows Subsystem for Linux (WSL) and Chromebooks),
# launching a browser using a redirect file can lead the browser failing to load.
# This is because of the difference in file structures/paths between the runtime and
# the browser.
#
# Disabling this setting to False will disable this behavior, allowing the browser
# to launch by using a URL and visible token (as before).
# Default: True
# c.NotebookApp.use_redirect_file = True
## DEPRECATED, use tornado_settings
# Default: {}
# c.NotebookApp.webapp_settings = {}
## Specify Where to open the notebook on startup. This is the
# `new` argument passed to the standard library method `webbrowser.open`.
# The behaviour is not guaranteed, but depends on browser support. Valid
# values are:
#
# - 2 opens a new tab,
# - 1 opens a new window,
# - 0 opens in an existing window.
#
# See the `webbrowser.open` documentation for details.
# Default: 2
# c.NotebookApp.webbrowser_open_new = 2
## Set the tornado compression options for websocket connections.
#
# This value will be returned from
# :meth:`WebSocketHandler.get_compression_options`. None (default) will disable
# compression. A dict (even an empty one) will enable compression.
#
# See the tornado docs for WebSocketHandler.get_compression_options for details.
# Default: None
# c.NotebookApp.websocket_compression_options = None
## The base URL for websockets,
# if it differs from the HTTP server (hint: it almost certainly doesn't).
#
# Should be in the form of an HTTP origin: ws[s]://hostname[:port]
# Default: ''
# c.NotebookApp.websocket_url = ''
#------------------------------------------------------------------------------
# ConnectionFileMixin(LoggingConfigurable) configuration
#------------------------------------------------------------------------------
## Mixin for configurable classes that work with connection files
## JSON file in which to store connection info [default: kernel-<pid>.json]
#
# This file will contain the IP, ports, and authentication key needed to connect
# clients to this kernel. By default, this file will be created in the security dir
# of the current profile, but can be specified by absolute path.
# Default: ''
# c.ConnectionFileMixin.connection_file = ''
## set the control (ROUTER) port [default: random]
# Default: 0
# c.ConnectionFileMixin.control_port = 0
## set the heartbeat port [default: random]
# Default: 0
# c.ConnectionFileMixin.hb_port = 0
## set the iopub (PUB) port [default: random]
# Default: 0
# c.ConnectionFileMixin.iopub_port = 0
## Set the kernel's IP address [default localhost].
# If the IP address is something other than localhost, then
# Consoles on other machines will be able to connect
# to the Kernel, so be careful!
# Default: ''
# c.ConnectionFileMixin.ip = ''
## set the shell (ROUTER) port [default: random]
# Default: 0
# c.ConnectionFileMixin.shell_port = 0
## set the stdin (ROUTER) port [default: random]
# Default: 0
# c.ConnectionFileMixin.stdin_port = 0
# Choices: any of ['tcp', 'ipc'] (case-insensitive)
# Default: 'tcp'
# c.ConnectionFileMixin.transport = 'tcp'
#------------------------------------------------------------------------------
# KernelManager(ConnectionFileMixin) configuration
#------------------------------------------------------------------------------
## Manages a single kernel in a subprocess on this host.
#
# This version starts kernels with Popen.
## Should we autorestart the kernel if it dies.
# Default: True
# c.KernelManager.autorestart = True
## JSON file in which to store connection info [default: kernel-<pid>.json]
# See also: ConnectionFileMixin.connection_file
# c.KernelManager.connection_file = ''
## set the control (ROUTER) port [default: random]
# See also: ConnectionFileMixin.control_port
# c.KernelManager.control_port = 0
## set the heartbeat port [default: random]
# See also: ConnectionFileMixin.hb_port
# c.KernelManager.hb_port = 0
## set the iopub (PUB) port [default: random]
# See also: ConnectionFileMixin.iopub_port
# c.KernelManager.iopub_port = 0
## Set the kernel's IP address [default localhost].
# See also: ConnectionFileMixin.ip
# c.KernelManager.ip = ''
## set the shell (ROUTER) port [default: random]
# See also: ConnectionFileMixin.shell_port
# c.KernelManager.shell_port = 0
## Time to wait for a kernel to terminate before killing it, in seconds. When a
# shutdown request is initiated, the kernel will be immediately sent an
# interrupt (SIGINT), followedby a shutdown_request message, after 1/2 of
# `shutdown_wait_time`it will be sent a terminate (SIGTERM) request, and finally
# at the end of `shutdown_wait_time` will be killed (SIGKILL). terminate and
# kill may be equivalent on windows. Note that this value can beoverridden by
# the in-use kernel provisioner since shutdown times mayvary by provisioned
# environment.
# Default: 5.0
# c.KernelManager.shutdown_wait_time = 5.0
## set the stdin (ROUTER) port [default: random]
# See also: ConnectionFileMixin.stdin_port
# c.KernelManager.stdin_port = 0
# See also: ConnectionFileMixin.transport
# c.KernelManager.transport = 'tcp'
#------------------------------------------------------------------------------
# Session(Configurable) configuration
#------------------------------------------------------------------------------
## Object for handling serialization and sending of messages.
#
# The Session object handles building messages and sending them
# with ZMQ sockets or ZMQStream objects. Objects can communicate with each
# other over the network via Session objects, and only need to work with the
# dict-based IPython message spec. The Session will handle
# serialization/deserialization, security, and metadata.
#
# Sessions support configurable serialization via packer/unpacker traits,
# and signing with HMAC digests via the key/keyfile traits.
#
# Parameters
# ----------
#
# debug : bool
# whether to trigger extra debugging statements
# packer/unpacker : str : 'json', 'pickle' or import_string
# importstrings for methods to serialize message parts. If just
# 'json' or 'pickle', predefined JSON and pickle packers will be used.
# Otherwise, the entire importstring must be used.
#
# The functions must accept at least valid JSON input, and output
# *bytes*.
#
# For example, to use msgpack:
# packer = 'msgpack.packb', unpacker='msgpack.unpackb'
# pack/unpack : callables
# You can also set the pack/unpack callables for serialization directly.
# session : bytes
# the ID of this Session object. The default is to generate a new UUID.
# username : unicode
# username added to message headers. The default is to ask the OS.
# key : bytes
# The key used to initialize an HMAC signature. If unset, messages
# will not be signed or checked.
# keyfile : filepath
# The file containing a key. If this is set, `key` will be initialized
# to the contents of the file.
## Threshold (in bytes) beyond which an object's buffer should be extracted to
# avoid pickling.
# Default: 1024
# c.Session.buffer_threshold = 1024
## Whether to check PID to protect against calls after fork.
#
# This check can be disabled if fork-safety is handled elsewhere.
# Default: True
# c.Session.check_pid = True
## Threshold (in bytes) beyond which a buffer should be sent without copying.
# Default: 65536
# c.Session.copy_threshold = 65536
## Debug output in the Session
# Default: False
# c.Session.debug = False
## The maximum number of digests to remember.
#
# The digest history will be culled when it exceeds this value.
# Default: 65536
# c.Session.digest_history_size = 65536
## The maximum number of items for a container to be introspected for custom serialization.
# Containers larger than this are pickled outright.
# Default: 64
# c.Session.item_threshold = 64
## execution key, for signing messages.
# Default: b''
# c.Session.key = b''
## path to file containing execution key.
# Default: ''
# c.Session.keyfile = ''
## Metadata dictionary, which serves as the default top-level metadata dict for
# each message.
# Default: {}
# c.Session.metadata = {}
## The name of the packer for serializing messages.
# Should be one of 'json', 'pickle', or an import name
# for a custom callable serializer.
# Default: 'json'
# c.Session.packer = 'json'
## The UUID identifying this session.
# Default: ''
# c.Session.session = ''
## The digest scheme used to construct the message signatures.
# Must have the form 'hmac-HASH'.
# Default: 'hmac-sha256'
# c.Session.signature_scheme = 'hmac-sha256'
## The name of the unpacker for unserializing messages.
# Only used with custom functions for `packer`.
# Default: 'json'
# c.Session.unpacker = 'json'
## Username for the Session. Default is your system username.
# Default: 'luyanfeng'
# c.Session.username = 'luyanfeng'
#------------------------------------------------------------------------------
# MultiKernelManager(LoggingConfigurable) configuration
#------------------------------------------------------------------------------
## A class for managing multiple kernels.
## The name of the default kernel to start
# Default: 'python3'
# c.MultiKernelManager.default_kernel_name = 'python3'
## The kernel manager class. This is configurable to allow
# subclassing of the KernelManager for customized behavior.
# Default: 'jupyter_client.ioloop.IOLoopKernelManager'
# c.MultiKernelManager.kernel_manager_class = 'jupyter_client.ioloop.IOLoopKernelManager'
## Share a single zmq.Context to talk to all my kernels
# Default: True
# c.MultiKernelManager.shared_context = True
#------------------------------------------------------------------------------
# MappingKernelManager(MultiKernelManager) configuration
#------------------------------------------------------------------------------
## A KernelManager that handles notebook mapping and HTTP error handling
## White list of allowed kernel message types.
# When the list is empty, all message types are allowed.
# Default: []
# c.MappingKernelManager.allowed_message_types = []
## Whether messages from kernels whose frontends have disconnected should be buffered in-memory.
# When True (default), messages are buffered and replayed on reconnect,
# avoiding lost messages due to interrupted connectivity.
# Disable if long-running kernels will produce too much output while
# no frontends are connected.
# Default: True
# c.MappingKernelManager.buffer_offline_messages = True
## Whether to consider culling kernels which are busy.
# Only effective if cull_idle_timeout > 0.
# Default: False
# c.MappingKernelManager.cull_busy = False
## Whether to consider culling kernels which have one or more connections.
# Only effective if cull_idle_timeout > 0.
# Default: False
# c.MappingKernelManager.cull_connected = False
## Timeout (in seconds) after which a kernel is considered idle and ready to be culled.
# Values of 0 or lower disable culling. Very short timeouts may result in kernels being culled
# for users with poor network connections.
# Default: 0
# c.MappingKernelManager.cull_idle_timeout = 0
## The interval (in seconds) on which to check for idle kernels exceeding the
# cull timeout value.
# Default: 300
# c.MappingKernelManager.cull_interval = 300
## The name of the default kernel to start
# See also: MultiKernelManager.default_kernel_name
# c.MappingKernelManager.default_kernel_name = 'python3'
## Timeout for giving up on a kernel (in seconds).
# On starting and restarting kernels, we check whether the
# kernel is running and responsive by sending kernel_info_requests.
# This sets the timeout in seconds for how long the kernel can take
# before being presumed dead.
# This affects the MappingKernelManager (which handles kernel restarts)
# and the ZMQChannelsHandler (which handles the startup).
# Default: 60
# c.MappingKernelManager.kernel_info_timeout = 60
## The kernel manager class. This is configurable to allow
# See also: MultiKernelManager.kernel_manager_class
# c.MappingKernelManager.kernel_manager_class = 'jupyter_client.ioloop.IOLoopKernelManager'
# Default: ''
# c.MappingKernelManager.root_dir = ''
## Share a single zmq.Context to talk to all my kernels
# See also: MultiKernelManager.shared_context
# c.MappingKernelManager.shared_context = True
#------------------------------------------------------------------------------
# KernelSpecManager(LoggingConfigurable) configuration
#------------------------------------------------------------------------------
## List of allowed kernel names.
#
# By default, all installed kernels are allowed.
# Default: set()
# c.KernelSpecManager.allowed_kernelspecs = set()
## If there is no Python kernelspec registered and the IPython
# kernel is available, ensure it is added to the spec list.
# Default: True
# c.KernelSpecManager.ensure_native_kernel = True
## The kernel spec class. This is configurable to allow
# subclassing of the KernelSpecManager for customized behavior.
# Default: 'jupyter_client.kernelspec.KernelSpec'
# c.KernelSpecManager.kernel_spec_class = 'jupyter_client.kernelspec.KernelSpec'
## Deprecated, use `KernelSpecManager.allowed_kernelspecs`
# Default: set()
# c.KernelSpecManager.whitelist = set()
#------------------------------------------------------------------------------
# ContentsManager(LoggingConfigurable) configuration
#------------------------------------------------------------------------------
## Base class for serving files and directories.
#
# This serves any text or binary file,
# as well as directories,
# with special handling for JSON notebook documents.
#
# Most APIs take a path argument,
# which is always an API-style unicode path,
# and always refers to a directory.
#
# - unicode, not url-escaped
# - '/'-separated
# - leading and trailing '/' will be stripped
# - if unspecified, path defaults to '',
# indicating the root path.
## Allow access to hidden files
# Default: False
# c.ContentsManager.allow_hidden = False
# Default: None
# c.ContentsManager.checkpoints = None
# Default: 'notebook.services.contents.checkpoints.Checkpoints'
# c.ContentsManager.checkpoints_class = 'notebook.services.contents.checkpoints.Checkpoints'
# Default: {}
# c.ContentsManager.checkpoints_kwargs = {}
## handler class to use when serving raw file requests.
#
# Default is a fallback that talks to the ContentsManager API,
# which may be inefficient, especially for large files.
#
# Local files-based ContentsManagers can use a StaticFileHandler subclass,
# which will be much more efficient.
#
# Access to these files should be Authenticated.
# Default: 'notebook.files.handlers.FilesHandler'
# c.ContentsManager.files_handler_class = 'notebook.files.handlers.FilesHandler'
## Extra parameters to pass to files_handler_class.
#
# For example, StaticFileHandlers generally expect a `path` argument
# specifying the root directory from which to serve files.
# Default: {}
# c.ContentsManager.files_handler_params = {}
## Glob patterns to hide in file and directory listings.
# Default: ['__pycache__', '*.pyc', '*.pyo', '.DS_Store', '*.so', '*.dylib', '*~']
# c.ContentsManager.hide_globs = ['__pycache__', '*.pyc', '*.pyo', '.DS_Store', '*.so', '*.dylib', '*~']
## Python callable or importstring thereof
#
# To be called on a contents model prior to save.
#
# This can be used to process the structure,
# such as removing notebook outputs or other side effects that
# should not be saved.
#
# It will be called as (all arguments passed by keyword)::
#
# hook(path=path, model=model, contents_manager=self)
#
# - model: the model to be saved. Includes file contents.
# Modifying this dict will affect the file that is stored.
# - path: the API path of the save destination
# - contents_manager: this ContentsManager instance
# Default: None
# c.ContentsManager.pre_save_hook = None
# Default: '/'
# c.ContentsManager.root_dir = '/'
## The base name used when creating untitled directories.
# Default: 'Untitled Folder'
# c.ContentsManager.untitled_directory = 'Untitled Folder'
## The base name used when creating untitled files.
# Default: 'untitled'
# c.ContentsManager.untitled_file = 'untitled'
## The base name used when creating untitled notebooks.
# Default: 'Untitled'
# c.ContentsManager.untitled_notebook = 'Untitled'
#------------------------------------------------------------------------------
# FileManagerMixin(Configurable) configuration
#------------------------------------------------------------------------------
## Mixin for ContentsAPI classes that interact with the filesystem.
#
# Provides facilities for reading, writing, and copying both notebooks and
# generic files.
#
# Shared by FileContentsManager and FileCheckpoints.
#
# Note ---- Classes using this mixin must provide the following attributes:
#
# root_dir : unicode
# A directory against which API-style paths are to be resolved.
#
# log : logging.Logger
## By default notebooks are saved on disk on a temporary file and then if successfully written, it replaces the old ones.
# This procedure, namely 'atomic_writing', causes some bugs on file system without operation order enforcement (like some networked fs).
# If set to False, the new notebook is written directly on the old one which could fail (eg: full filesystem or quota )
# Default: True
# c.FileManagerMixin.use_atomic_writing = True
#------------------------------------------------------------------------------
# FileContentsManager(FileManagerMixin, ContentsManager) configuration
#------------------------------------------------------------------------------
## Allow access to hidden files
# See also: ContentsManager.allow_hidden
# c.FileContentsManager.allow_hidden = False
# See also: ContentsManager.checkpoints
# c.FileContentsManager.checkpoints = None
# See also: ContentsManager.checkpoints_class
# c.FileContentsManager.checkpoints_class = 'notebook.services.contents.checkpoints.Checkpoints'
# See also: ContentsManager.checkpoints_kwargs
# c.FileContentsManager.checkpoints_kwargs = {}
## If True (default), deleting files will send them to the
# platform's trash/recycle bin, where they can be recovered. If False,
# deleting files really deletes them.
# Default: True
# c.FileContentsManager.delete_to_trash = True
## handler class to use when serving raw file requests.
# See also: ContentsManager.files_handler_class
# c.FileContentsManager.files_handler_class = 'notebook.files.handlers.FilesHandler'
## Extra parameters to pass to files_handler_class.
# See also: ContentsManager.files_handler_params
# c.FileContentsManager.files_handler_params = {}
##
# See also: ContentsManager.hide_globs
# c.FileContentsManager.hide_globs = ['__pycache__', '*.pyc', '*.pyo', '.DS_Store', '*.so', '*.dylib', '*~']
## Python callable or importstring thereof
#
# to be called on the path of a file just saved.
#
# This can be used to process the file on disk,
# such as converting the notebook to a script or HTML via nbconvert.
#
# It will be called as (all arguments passed by keyword)::
#
# hook(os_path=os_path, model=model, contents_manager=instance)
#
# - path: the filesystem path to the file just written
# - model: the model representing the file
# - contents_manager: this ContentsManager instance
# Default: None
# c.FileContentsManager.post_save_hook = None
## Python callable or importstring thereof
# See also: ContentsManager.pre_save_hook
# c.FileContentsManager.pre_save_hook = None
# Default: ''
# c.FileContentsManager.root_dir = ''
## DEPRECATED, use post_save_hook. Will be removed in Notebook 5.0
# Default: False
# c.FileContentsManager.save_script = False
## The base name used when creating untitled directories.
# See also: ContentsManager.untitled_directory
# c.FileContentsManager.untitled_directory = 'Untitled Folder'
## The base name used when creating untitled files.
# See also: ContentsManager.untitled_file
# c.FileContentsManager.untitled_file = 'untitled'
## The base name used when creating untitled notebooks.
# See also: ContentsManager.untitled_notebook
# c.FileContentsManager.untitled_notebook = 'Untitled'
## By default notebooks are saved on disk on a temporary file and then if
# successfully written, it replaces the old ones.
# See also: FileManagerMixin.use_atomic_writing
# c.FileContentsManager.use_atomic_writing = True
#------------------------------------------------------------------------------
# NotebookNotary(LoggingConfigurable) configuration
#------------------------------------------------------------------------------
## A class for computing and verifying notebook signatures.
## The hashing algorithm used to sign notebooks.
# Choices: any of ['sha256', 'sha3_224', 'sha384', 'md5', 'sha3_256', 'sha3_512', 'sha1', 'sha224', 'blake2s', 'sha3_384', 'sha512', 'blake2b']
# Default: 'sha256'
# c.NotebookNotary.algorithm = 'sha256'
## The storage directory for notary secret and database.
# Default: ''
# c.NotebookNotary.data_dir = ''
## The sqlite file in which to store notebook signatures.
# By default, this will be in your Jupyter data directory.
# You can set it to ':memory:' to disable sqlite writing to the filesystem.
# Default: ''
# c.NotebookNotary.db_file = ''
## The secret key with which notebooks are signed.
# Default: b''
# c.NotebookNotary.secret = b''
## The file where the secret key is stored.
# Default: ''
# c.NotebookNotary.secret_file = ''
## A callable returning the storage backend for notebook signatures.
# The default uses an SQLite database.
# Default: traitlets.Undefined
# c.NotebookNotary.store_factory = traitlets.Undefined
#------------------------------------------------------------------------------
# AsyncMultiKernelManager(MultiKernelManager) configuration
#------------------------------------------------------------------------------
## The name of the default kernel to start
# See also: MultiKernelManager.default_kernel_name
# c.AsyncMultiKernelManager.default_kernel_name = 'python3'
## The kernel manager class. This is configurable to allow
# subclassing of the AsyncKernelManager for customized behavior.
# Default: 'jupyter_client.ioloop.AsyncIOLoopKernelManager'
# c.AsyncMultiKernelManager.kernel_manager_class = 'jupyter_client.ioloop.AsyncIOLoopKernelManager'
## Share a single zmq.Context to talk to all my kernels
# See also: MultiKernelManager.shared_context
# c.AsyncMultiKernelManager.shared_context = True
## Whether to make kernels available before the process has started. The
# kernel has a `.ready` future which can be awaited before connecting
# Default: False
# c.AsyncMultiKernelManager.use_pending_kernels = False
#------------------------------------------------------------------------------
# AsyncMappingKernelManager(MappingKernelManager, AsyncMultiKernelManager) configuration
#------------------------------------------------------------------------------
## White list of allowed kernel message types.
# See also: MappingKernelManager.allowed_message_types
# c.AsyncMappingKernelManager.allowed_message_types = []
## Whether messages from kernels whose frontends have disconnected should be
# buffered in-memory.
# See also: MappingKernelManager.buffer_offline_messages
# c.AsyncMappingKernelManager.buffer_offline_messages = True
## Whether to consider culling kernels which are busy.
# See also: MappingKernelManager.cull_busy
# c.AsyncMappingKernelManager.cull_busy = False
## Whether to consider culling kernels which have one or more connections.
# See also: MappingKernelManager.cull_connected
# c.AsyncMappingKernelManager.cull_connected = False
## Timeout (in seconds) after which a kernel is considered idle and ready to be
# culled.
# See also: MappingKernelManager.cull_idle_timeout
# c.AsyncMappingKernelManager.cull_idle_timeout = 0
## The interval (in seconds) on which to check for idle kernels exceeding the
# cull timeout value.
# See also: MappingKernelManager.cull_interval
# c.AsyncMappingKernelManager.cull_interval = 300
## The name of the default kernel to start
# See also: MultiKernelManager.default_kernel_name
# c.AsyncMappingKernelManager.default_kernel_name = 'python3'
## Timeout for giving up on a kernel (in seconds).
# See also: MappingKernelManager.kernel_info_timeout
# c.AsyncMappingKernelManager.kernel_info_timeout = 60
## The kernel manager class. This is configurable to allow
# See also: AsyncMultiKernelManager.kernel_manager_class
# c.AsyncMappingKernelManager.kernel_manager_class = 'jupyter_client.ioloop.AsyncIOLoopKernelManager'
# See also: MappingKernelManager.root_dir
# c.AsyncMappingKernelManager.root_dir = ''
## Share a single zmq.Context to talk to all my kernels
# See also: MultiKernelManager.shared_context
# c.AsyncMappingKernelManager.shared_context = True
## Whether to make kernels available before the process has started. The
# See also: AsyncMultiKernelManager.use_pending_kernels
# c.AsyncMappingKernelManager.use_pending_kernels = False
#------------------------------------------------------------------------------
# GatewayKernelManager(AsyncMappingKernelManager) configuration
#------------------------------------------------------------------------------
## Kernel manager that supports remote kernels hosted by Jupyter Kernel or
# Enterprise Gateway.
## White list of allowed kernel message types.
# See also: MappingKernelManager.allowed_message_types
# c.GatewayKernelManager.allowed_message_types = []
## Whether messages from kernels whose frontends have disconnected should be
# buffered in-memory.
# See also: MappingKernelManager.buffer_offline_messages
# c.GatewayKernelManager.buffer_offline_messages = True
## Whether to consider culling kernels which are busy.
# See also: MappingKernelManager.cull_busy
# c.GatewayKernelManager.cull_busy = False
## Whether to consider culling kernels which have one or more connections.
# See also: MappingKernelManager.cull_connected
# c.GatewayKernelManager.cull_connected = False
## Timeout (in seconds) after which a kernel is considered idle and ready to be
# culled.
# See also: MappingKernelManager.cull_idle_timeout
# c.GatewayKernelManager.cull_idle_timeout = 0
## The interval (in seconds) on which to check for idle kernels exceeding the
# cull timeout value.
# See also: MappingKernelManager.cull_interval
# c.GatewayKernelManager.cull_interval = 300
## The name of the default kernel to start
# See also: MultiKernelManager.default_kernel_name
# c.GatewayKernelManager.default_kernel_name = 'python3'
## Timeout for giving up on a kernel (in seconds).
# See also: MappingKernelManager.kernel_info_timeout
# c.GatewayKernelManager.kernel_info_timeout = 60
## The kernel manager class. This is configurable to allow
# See also: AsyncMultiKernelManager.kernel_manager_class
# c.GatewayKernelManager.kernel_manager_class = 'jupyter_client.ioloop.AsyncIOLoopKernelManager'
# See also: MappingKernelManager.root_dir
# c.GatewayKernelManager.root_dir = ''
## Share a single zmq.Context to talk to all my kernels
# See also: MultiKernelManager.shared_context
# c.GatewayKernelManager.shared_context = True
## Whether to make kernels available before the process has started. The
# See also: AsyncMultiKernelManager.use_pending_kernels
# c.GatewayKernelManager.use_pending_kernels = False
#------------------------------------------------------------------------------
# GatewayKernelSpecManager(KernelSpecManager) configuration
#------------------------------------------------------------------------------
## List of allowed kernel names.
# See also: KernelSpecManager.allowed_kernelspecs
# c.GatewayKernelSpecManager.allowed_kernelspecs = set()
## If there is no Python kernelspec registered and the IPython
# See also: KernelSpecManager.ensure_native_kernel
# c.GatewayKernelSpecManager.ensure_native_kernel = True
## The kernel spec class. This is configurable to allow
# See also: KernelSpecManager.kernel_spec_class
# c.GatewayKernelSpecManager.kernel_spec_class = 'jupyter_client.kernelspec.KernelSpec'
## Deprecated, use `KernelSpecManager.allowed_kernelspecs`
# See also: KernelSpecManager.whitelist
# c.GatewayKernelSpecManager.whitelist = set()
#------------------------------------------------------------------------------
# GatewayClient(SingletonConfigurable) configuration
#------------------------------------------------------------------------------
## This class manages the configuration. It's its own singleton class so that we
# can share these values across all objects. It also contains some helper methods
# to build request arguments out of the various config options.
## The authorization token used in the HTTP headers. (JUPYTER_GATEWAY_AUTH_TOKEN
# env var)
# Default: None
# c.GatewayClient.auth_token = None
## The filename of CA certificates or None to use defaults.
# (JUPYTER_GATEWAY_CA_CERTS env var)
# Default: None
# c.GatewayClient.ca_certs = None
## The filename for client SSL certificate, if any. (JUPYTER_GATEWAY_CLIENT_CERT
# env var)
# Default: None
# c.GatewayClient.client_cert = None
## The filename for client SSL key, if any. (JUPYTER_GATEWAY_CLIENT_KEY env var)
# Default: None
# c.GatewayClient.client_key = None
## The time allowed for HTTP connection establishment with the Gateway server.
# (JUPYTER_GATEWAY_CONNECT_TIMEOUT env var)
# Default: 40.0
# c.GatewayClient.connect_timeout = 40.0
## A comma-separated list of environment variable names that will be included, along with
# their values, in the kernel startup request. The corresponding `env_whitelist` configuration
# value must also be set on the Gateway server - since that configuration value indicates which
# environmental values to make available to the kernel. (JUPYTER_GATEWAY_ENV_WHITELIST env var)
# Default: ''
# c.GatewayClient.env_whitelist = ''
## The time allowed for HTTP reconnection with the Gateway server for the first time.
# Next will be JUPYTER_GATEWAY_RETRY_INTERVAL multiplied by two in factor of numbers of retries
# but less than JUPYTER_GATEWAY_RETRY_INTERVAL_MAX.
# (JUPYTER_GATEWAY_RETRY_INTERVAL env var)
# Default: 1.0
# c.GatewayClient.gateway_retry_interval = 1.0
## The maximum time allowed for HTTP reconnection retry with the Gateway server.
# (JUPYTER_GATEWAY_RETRY_INTERVAL_MAX env var)
# Default: 30.0
# c.GatewayClient.gateway_retry_interval_max = 30.0
## The maximum retries allowed for HTTP reconnection with the Gateway server.
# (JUPYTER_GATEWAY_RETRY_MAX env var)
# Default: 5
# c.GatewayClient.gateway_retry_max = 5
## Additional HTTP headers to pass on the request. This value will be converted to a dict.
# (JUPYTER_GATEWAY_HEADERS env var)
# Default: '{}'
# c.GatewayClient.headers = '{}'
## The password for HTTP authentication. (JUPYTER_GATEWAY_HTTP_PWD env var)
# Default: None
# c.GatewayClient.http_pwd = None
## The username for HTTP authentication. (JUPYTER_GATEWAY_HTTP_USER env var)
# Default: None
# c.GatewayClient.http_user = None
## The gateway API endpoint for accessing kernel resources
# (JUPYTER_GATEWAY_KERNELS_ENDPOINT env var)
# Default: '/api/kernels'
# c.GatewayClient.kernels_endpoint = '/api/kernels'
## The gateway API endpoint for accessing kernelspecs
# (JUPYTER_GATEWAY_KERNELSPECS_ENDPOINT env var)
# Default: '/api/kernelspecs'
# c.GatewayClient.kernelspecs_endpoint = '/api/kernelspecs'
## The gateway endpoint for accessing kernelspecs resources
# (JUPYTER_GATEWAY_KERNELSPECS_RESOURCE_ENDPOINT env var)
# Default: '/kernelspecs'
# c.GatewayClient.kernelspecs_resource_endpoint = '/kernelspecs'
## The time allowed for HTTP request completion. (JUPYTER_GATEWAY_REQUEST_TIMEOUT
# env var)
# Default: 40.0
# c.GatewayClient.request_timeout = 40.0
## The url of the Kernel or Enterprise Gateway server where
# kernel specifications are defined and kernel management takes place.
# If defined, this Notebook server acts as a proxy for all kernel
# management and kernel specification retrieval. (JUPYTER_GATEWAY_URL env var)
# Default: None
# c.GatewayClient.url = None
## For HTTPS requests, determines if server's certificate should be validated or not.
# (JUPYTER_GATEWAY_VALIDATE_CERT env var)
# Default: True
# c.GatewayClient.validate_cert = True
## The websocket url of the Kernel or Enterprise Gateway server. If not provided, this value
# will correspond to the value of the Gateway url with 'ws' in place of 'http'. (JUPYTER_GATEWAY_WS_URL env var)
# Default: None
# c.GatewayClient.ws_url = None
#------------------------------------------------------------------------------
# TerminalManager(LoggingConfigurable) configuration
#------------------------------------------------------------------------------
##
## Timeout (in seconds) in which a terminal has been inactive and ready to be culled.
# Values of 0 or lower disable culling.
# Default: 0
# c.TerminalManager.cull_inactive_timeout = 0
## The interval (in seconds) on which to check for terminals exceeding the
# inactive timeout value.
# Default: 300
# c.TerminalManager.cull_interval = 300
(pytorch-tutorials) luyanfeng@amax:~$
- 由于我是通过
ssh
连接服务器
,并在服务器
上运行代码的,所以要想在本地的浏览器
访问服务器上的jupyter notebook
服务,需要指定服务器IP
地址。
(pytorch-tutorials) luyanfeng@amax:~$ jupyter notebook --help
The Jupyter HTML Notebook.
This launches a Tornado based HTML Notebook Server that serves up an
HTML5/Javascript Notebook client.
Subcommands
===========
Subcommands are launched as `jupyter-notebook cmd [args]`. For information on
using subcommand 'cmd', do: `jupyter-notebook cmd -h`.
list
List currently running notebook servers.
stop
Stop currently running notebook server.
password
Set a password for the notebook server.
Options
=======
The options below are convenience aliases to configurable class-options,
as listed in the "Equivalent to" description-line of the aliases.
To see all configurable class-options for some <cmd>, use:
<cmd> --help-all
--debug
set log level to logging.DEBUG (maximize logging output)
Equivalent to: [--Application.log_level=10]
--show-config
Show the application's configuration (human-readable format)
Equivalent to: [--Application.show_config=True]
--show-config-json
Show the application's configuration (json format)
Equivalent to: [--Application.show_config_json=True]
--generate-config
generate default config file
Equivalent to: [--JupyterApp.generate_config=True]
-y
Answer yes to any questions instead of prompting.
Equivalent to: [--JupyterApp.answer_yes=True]
--no-browser
Don't open the notebook in a browser after startup.
Equivalent to: [--NotebookApp.open_browser=False]
--pylab
DISABLED: use %pylab or %matplotlib in the notebook to enable matplotlib.
Equivalent to: [--NotebookApp.pylab=warn]
--no-mathjax
Disable MathJax
MathJax is the javascript library Jupyter uses to render math/LaTeX. It is
very large, so you may want to disable it if you have a slow internet
connection, or for offline use of the notebook.
When disabled, equations etc. will appear as their untransformed TeX source.
Equivalent to: [--NotebookApp.enable_mathjax=False]
--allow-root
Allow the notebook to be run from root user.
Equivalent to: [--NotebookApp.allow_root=True]
--autoreload
Autoreload the webapp
Enable reloading of the tornado webapp and all imported Python packages
when any changes are made to any Python src files in Notebook or
extensions.
Equivalent to: [--NotebookApp.autoreload=True]
--script
DEPRECATED, IGNORED
Equivalent to: [--FileContentsManager.save_script=True]
--no-script
DEPRECATED, IGNORED
Equivalent to: [--FileContentsManager.save_script=False]
--log-level=<Enum>
Set the log level by value or name.
Choices: any of [0, 10, 20, 30, 40, 50, 'DEBUG', 'INFO', 'WARN', 'ERROR', 'CRITICAL']
Default: 30
Equivalent to: [--Application.log_level]
--config=<Unicode>
Full path of a config file.
Default: ''
Equivalent to: [--JupyterApp.config_file]
--ip=<Unicode>
The IP address the notebook server will listen on.
Default: 'localhost'
Equivalent to: [--NotebookApp.ip]
--port=<Int>
The port the notebook server will listen on (env: JUPYTER_PORT).
Default: 8888
Equivalent to: [--NotebookApp.port]
--port-retries=<Int>
The number of additional ports to try if the specified port is not available
(env: JUPYTER_PORT_RETRIES).
Default: 50
Equivalent to: [--NotebookApp.port_retries]
--sock=<Unicode>
The UNIX socket the notebook server will listen on.
Default: ''
Equivalent to: [--NotebookApp.sock]
--sock-mode=<Unicode>
The permissions mode for UNIX socket creation (default: 0600).
Default: '0600'
Equivalent to: [--NotebookApp.sock_mode]
--transport=<CaselessStrEnum>
Choices: any of ['tcp', 'ipc'] (case-insensitive)
Default: 'tcp'
Equivalent to: [--KernelManager.transport]
--keyfile=<Unicode>
The full path to a private key file for usage with SSL/TLS.
Default: ''
Equivalent to: [--NotebookApp.keyfile]
--certfile=<Unicode>
The full path to an SSL/TLS certificate file.
Default: ''
Equivalent to: [--NotebookApp.certfile]
--client-ca=<Unicode>
The full path to a certificate authority certificate for SSL/TLS client
authentication.
Default: ''
Equivalent to: [--NotebookApp.client_ca]
--notebook-dir=<Unicode>
The directory to use for notebooks and kernels.
Default: ''
Equivalent to: [--NotebookApp.notebook_dir]
--browser=<Unicode>
Specify what command to use to invoke a web
browser when opening the notebook. If not specified, the
default browser will be determined by the `webbrowser`
standard library module, which allows setting of the
BROWSER environment variable to override it.
Default: ''
Equivalent to: [--NotebookApp.browser]
--pylab=<Unicode>
DISABLED: use %pylab or %matplotlib in the notebook to enable matplotlib.
Default: 'disabled'
Equivalent to: [--NotebookApp.pylab]
--gateway-url=<Unicode>
The url of the Kernel or Enterprise Gateway server where
kernel specifications are defined and kernel management takes place.
If defined, this Notebook server acts as a proxy for all kernel
management and kernel specification retrieval. (JUPYTER_GATEWAY_URL env var)
Default: None
Equivalent to: [--GatewayClient.url]
Examples
--------
jupyter notebook # start the notebook
jupyter notebook --certfile=mycert.pem # use SSL/TLS certificate
jupyter notebook password # enter a password to protect the server
To see all available configurables, use `--help-all`.
(pytorch-tutorials) luyanfeng@amax:~$ jupyter notebook --ip=10.4.6.15
[I 20:25:48.389 NotebookApp] Serving notebooks from local directory: /home/luyanfeng/my_code/my_github/susu-pytorch-tutorials-notes
[I 20:25:48.390 NotebookApp] Jupyter Notebook 6.4.12 is running at:
[I 20:25:48.390 NotebookApp] http://10.4.6.15:8888/
[I 20:25:48.390 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).
[W 20:25:48.393 NotebookApp] No web browser found: could not locate runnable browser.
[I 20:25:57.306 NotebookApp] 302 GET / (10.4.3.151) 0.930000ms
下一步
结语
第三十四篇博文写完,开心!!!!
今天,也是充满希望的一天。