Issues in upgrading ML libraries using AWS Sagemaker Notebook's Lifecycle configurations
I use the following script to automate upgrading of my libraries.
My script (Start Notebook):
#!/bin/bash
set -e
echo 'Before:'
echo $PATH
export PATH=/home/ec2-user/anaconda3/envs/JupyterSystemEnv/bin:/home/ec2-user/anaconda3/bin/:/usr/libexec/gcc/x86_64-amazon-linux/4.8.5:/usr/local/cuda/bin:/usr/local/bin:/opt/aws/bin:/usr/local/mpi/bin:/usr/local/bin:/bin:/usr/bin:/usr/local/sbin:/usr/sbin:/sbin:/opt/aws/bin:$PATH
echo 'After:'
echo $PATH
echo `pwd`
source /home/ec2-user/anaconda3/bin/activate tensorflow_p36
pip install pandas --upgrade
pip install tensorflow-gpu --upgrade
Error:
I get the following error, how can I point to the correct location(/home/ec2-user) of keras instead of /root
cp: cannot stat ‘/root/.keras/keras_tensorflow.json’: No such file or directory
Full Logs:
Before:
/sbin:/bin:/usr/sbin:/usr/bin
After:
/home/ec2-user/anaconda3/envs/JupyterSystemEnv/bin:/home/ec2-user/anaconda3/bin/:/usr/libexec/gcc/x86_64-amazon-linux/4.8.5:/usr/local/cuda/bin:/usr/local/bin:/opt/aws/bin:/usr/local/mpi/bin:/usr/local/bin:/bin:/usr/bin:/usr/local/sbin:/usr/sbin:/sbin:/opt/aws/bin:/sbin:/bin:/usr/sbin:/usr/bin
/home/ec2-user
cp: cannot stat ‘/root/.keras/keras_tensorflow.json’: No such file or directory
Without lifecycle configuration:
All the commands in the above script works.
Actual keras.json file is exising, under /home/ec2-user when I remove the lifecycle configuration with the following value.
sh-4.2$ cat .keras/keras.json
{
"backend": "tensorflow"
}
python tensorflow keras amazon-sagemaker amazon-machine-learning
asked Nov 12 '18 at 9:55
aspdeepak
1,00511529
add a comment |
I use the following script to automate upgrading of my libraries.
My script (Start Notebook):
#!/bin/bash
set -e
echo 'Before:'
echo $PATH
export PATH=/home/ec2-user/anaconda3/envs/JupyterSystemEnv/bin:/home/ec2-user/anaconda3/bin/:/usr/libexec/gcc/x86_64-amazon-linux/4.8.5:/usr/local/cuda/bin:/usr/local/bin:/opt/aws/bin:/usr/local/mpi/bin:/usr/local/bin:/bin:/usr/bin:/usr/local/sbin:/usr/sbin:/sbin:/opt/aws/bin:$PATH
echo 'After:'
echo $PATH
echo `pwd`
source /home/ec2-user/anaconda3/bin/activate tensorflow_p36
pip install pandas --upgrade
pip install tensorflow-gpu --upgrade
Error:
I get the following error, how can I point to the correct location(/home/ec2-user) of keras instead of /root
cp: cannot stat ‘/root/.keras/keras_tensorflow.json’: No such file or directory
Full Logs:
Before:
/sbin:/bin:/usr/sbin:/usr/bin
After:
/home/ec2-user/anaconda3/envs/JupyterSystemEnv/bin:/home/ec2-user/anaconda3/bin/:/usr/libexec/gcc/x86_64-amazon-linux/4.8.5:/usr/local/cuda/bin:/usr/local/bin:/opt/aws/bin:/usr/local/mpi/bin:/usr/local/bin:/bin:/usr/bin:/usr/local/sbin:/usr/sbin:/sbin:/opt/aws/bin:/sbin:/bin:/usr/sbin:/usr/bin
/home/ec2-user
cp: cannot stat ‘/root/.keras/keras_tensorflow.json’: No such file or directory
Without lifecycle configuration:
All the commands in the above script works.
Actual keras.json file is exising, under /home/ec2-user when I remove the lifecycle configuration with the following value.
sh-4.2$ cat .keras/keras.json
{
"backend": "tensorflow"
}
python tensorflow keras amazon-sagemaker amazon-machine-learning
asked Nov 12 '18 at 9:55
aspdeepak
1,00511529
add a comment |
I use the following script to automate upgrading of my libraries.
My script (Start Notebook):
#!/bin/bash
set -e
echo 'Before:'
echo $PATH
export PATH=/home/ec2-user/anaconda3/envs/JupyterSystemEnv/bin:/home/ec2-user/anaconda3/bin/:/usr/libexec/gcc/x86_64-amazon-linux/4.8.5:/usr/local/cuda/bin:/usr/local/bin:/opt/aws/bin:/usr/local/mpi/bin:/usr/local/bin:/bin:/usr/bin:/usr/local/sbin:/usr/sbin:/sbin:/opt/aws/bin:$PATH
echo 'After:'
echo $PATH
echo `pwd`
source /home/ec2-user/anaconda3/bin/activate tensorflow_p36
pip install pandas --upgrade
pip install tensorflow-gpu --upgrade
Error:
I get the following error, how can I point to the correct location(/home/ec2-user) of keras instead of /root
cp: cannot stat ‘/root/.keras/keras_tensorflow.json’: No such file or directory
Full Logs:
Before:
/sbin:/bin:/usr/sbin:/usr/bin
After:
/home/ec2-user/anaconda3/envs/JupyterSystemEnv/bin:/home/ec2-user/anaconda3/bin/:/usr/libexec/gcc/x86_64-amazon-linux/4.8.5:/usr/local/cuda/bin:/usr/local/bin:/opt/aws/bin:/usr/local/mpi/bin:/usr/local/bin:/bin:/usr/bin:/usr/local/sbin:/usr/sbin:/sbin:/opt/aws/bin:/sbin:/bin:/usr/sbin:/usr/bin
/home/ec2-user
cp: cannot stat ‘/root/.keras/keras_tensorflow.json’: No such file or directory
Without lifecycle configuration:
All the commands in the above script works.
Actual keras.json file is exising, under /home/ec2-user when I remove the lifecycle configuration with the following value.
sh-4.2$ cat .keras/keras.json
{
"backend": "tensorflow"
}
python tensorflow keras amazon-sagemaker amazon-machine-learning
asked Nov 12 '18 at 9:55
aspdeepak
1,00511529
I use the following script to automate upgrading of my libraries.
My script (Start Notebook):
#!/bin/bash
set -e
echo 'Before:'
echo $PATH
export PATH=/home/ec2-user/anaconda3/envs/JupyterSystemEnv/bin:/home/ec2-user/anaconda3/bin/:/usr/libexec/gcc/x86_64-amazon-linux/4.8.5:/usr/local/cuda/bin:/usr/local/bin:/opt/aws/bin:/usr/local/mpi/bin:/usr/local/bin:/bin:/usr/bin:/usr/local/sbin:/usr/sbin:/sbin:/opt/aws/bin:$PATH
echo 'After:'
echo $PATH
echo `pwd`
source /home/ec2-user/anaconda3/bin/activate tensorflow_p36
pip install pandas --upgrade
pip install tensorflow-gpu --upgrade
Error:
I get the following error, how can I point to the correct location(/home/ec2-user) of keras instead of /root
cp: cannot stat ‘/root/.keras/keras_tensorflow.json’: No such file or directory
Full Logs:
Before:
/sbin:/bin:/usr/sbin:/usr/bin
After:
/home/ec2-user/anaconda3/envs/JupyterSystemEnv/bin:/home/ec2-user/anaconda3/bin/:/usr/libexec/gcc/x86_64-amazon-linux/4.8.5:/usr/local/cuda/bin:/usr/local/bin:/opt/aws/bin:/usr/local/mpi/bin:/usr/local/bin:/bin:/usr/bin:/usr/local/sbin:/usr/sbin:/sbin:/opt/aws/bin:/sbin:/bin:/usr/sbin:/usr/bin
/home/ec2-user
cp: cannot stat ‘/root/.keras/keras_tensorflow.json’: No such file or directory
Without lifecycle configuration:
All the commands in the above script works.
Actual keras.json file is exising, under /home/ec2-user when I remove the lifecycle configuration with the following value.
sh-4.2$ cat .keras/keras.json
{
"backend": "tensorflow"
}
python tensorflow keras amazon-sagemaker amazon-machine-learning
python tensorflow keras amazon-sagemaker amazon-machine-learning
asked Nov 12 '18 at 9:55
aspdeepak
1,00511529
asked Nov 12 '18 at 9:55
aspdeepak
1,00511529
asked Nov 12 '18 at 9:55
aspdeepak
1,00511529
asked Nov 12 '18 at 9:55
aspdeepak
1,00511529
asked Nov 12 '18 at 9:55
aspdeepak
1,00511529
1,00511529
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
Looks like pip install in your case executed "outside" of virtualenv
try to change from:
source /home/ec2-user/anaconda3/bin/activate tensorflow_p36
to:
source /home/ec2-user/anaconda3/bin/activate tensorflow_p36 && pip install pandas tensorflow-gpu --upgrade
and delete redundant lines
edited Dec 12 '18 at 10:25
aspdeepak
1,00511529
answered Nov 13 '18 at 16:55
El Ruso
2,14821433
Thanks @EI Ruso it worked!!
– aspdeepak
Dec 12 '18 at 10:04
add a comment |
Your Answer
StackExchange.ifUsing("editor", function () {
StackExchange.using("externalEditor", function () {
StackExchange.using("snippets", function () {
StackExchange.snippets.init();
});
});
}, "code-snippets");
StackExchange.ready(function() {
var channelOptions = {
tags: "".split(" "),
id: "1"
};
initTagRenderer("".split(" "), "".split(" "), channelOptions);
StackExchange.using("externalEditor", function() {
// Have to fire editor after snippets, if snippets enabled
if (StackExchange.settings.snippets.snippetsEnabled) {
StackExchange.using("snippets", function() {
createEditor();
});
}
else {
createEditor();
}
});
function createEditor() {
StackExchange.prepareEditor({
heartbeatType: 'answer',
autoActivateHeartbeat: false,
convertImagesToLinks: true,
noModals: true,
showLowRepImageUploadWarning: true,
reputationToPostImages: 10,
bindNavPrevention: true,
postfix: "",
imageUploader: {
brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
allowUrls: true
},
onDemand: true,
discardSelector: ".discard-answer"
,immediatelyShowMarkdownHelp:true
});
}
});
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53259647%2fissues-in-upgrading-ml-libraries-using-aws-sagemaker-notebooks-lifecycle-config%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
Looks like pip install in your case executed "outside" of virtualenv
try to change from:
source /home/ec2-user/anaconda3/bin/activate tensorflow_p36
to:
source /home/ec2-user/anaconda3/bin/activate tensorflow_p36 && pip install pandas tensorflow-gpu --upgrade
and delete redundant lines
edited Dec 12 '18 at 10:25
aspdeepak
1,00511529
answered Nov 13 '18 at 16:55
El Ruso
2,14821433
Thanks @EI Ruso it worked!!
– aspdeepak
Dec 12 '18 at 10:04
add a comment |
Looks like pip install in your case executed "outside" of virtualenv
try to change from:
source /home/ec2-user/anaconda3/bin/activate tensorflow_p36
to:
source /home/ec2-user/anaconda3/bin/activate tensorflow_p36 && pip install pandas tensorflow-gpu --upgrade
and delete redundant lines
edited Dec 12 '18 at 10:25
aspdeepak
1,00511529
answered Nov 13 '18 at 16:55
El Ruso
2,14821433
Thanks @EI Ruso it worked!!
– aspdeepak
Dec 12 '18 at 10:04
add a comment |
Looks like pip install in your case executed "outside" of virtualenv
try to change from:
source /home/ec2-user/anaconda3/bin/activate tensorflow_p36
to:
source /home/ec2-user/anaconda3/bin/activate tensorflow_p36 && pip install pandas tensorflow-gpu --upgrade
and delete redundant lines
edited Dec 12 '18 at 10:25
aspdeepak
1,00511529
answered Nov 13 '18 at 16:55
El Ruso
2,14821433
Looks like pip install in your case executed "outside" of virtualenv
try to change from:
source /home/ec2-user/anaconda3/bin/activate tensorflow_p36
to:
source /home/ec2-user/anaconda3/bin/activate tensorflow_p36 && pip install pandas tensorflow-gpu --upgrade
and delete redundant lines
edited Dec 12 '18 at 10:25
aspdeepak
1,00511529
answered Nov 13 '18 at 16:55
El Ruso
2,14821433
edited Dec 12 '18 at 10:25
aspdeepak
1,00511529
edited Dec 12 '18 at 10:25
aspdeepak
1,00511529
edited Dec 12 '18 at 10:25
aspdeepak
1,00511529
1,00511529
answered Nov 13 '18 at 16:55
El Ruso
2,14821433
answered Nov 13 '18 at 16:55
El Ruso
2,14821433
answered Nov 13 '18 at 16:55
El Ruso
2,14821433
2,14821433
Thanks @EI Ruso it worked!!
– aspdeepak
Dec 12 '18 at 10:04
add a comment |
Thanks @EI Ruso it worked!!
– aspdeepak
Dec 12 '18 at 10:04
Thanks @EI Ruso it worked!!
– aspdeepak
Dec 12 '18 at 10:04
Thanks @EI Ruso it worked!!
– aspdeepak
Dec 12 '18 at 10:04
add a comment |
Thanks for contributing an answer to Stack Overflow!
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
To learn more, see our tips on writing great answers.
Some of your past answers have not been well-received, and you're in danger of being blocked from answering.
Please pay close attention to the following guidance:
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
To learn more, see our tips on writing great answers.
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53259647%2fissues-in-upgrading-ml-libraries-using-aws-sagemaker-notebooks-lifecycle-config%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
