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
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
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
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 at 9:55
aspdeepak
99511429
99511429
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
Thanks @EI Ruso it worked!!
– aspdeepak
Dec 12 at 10:04
add a comment |
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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
Thanks @EI Ruso it worked!!
– aspdeepak
Dec 12 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
Thanks @EI Ruso it worked!!
– aspdeepak
Dec 12 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
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 at 10:25
aspdeepak
99511429
99511429
answered Nov 13 at 16:55
El Ruso
2,13821433
2,13821433
Thanks @EI Ruso it worked!!
– aspdeepak
Dec 12 at 10:04
add a comment |
Thanks @EI Ruso it worked!!
– aspdeepak
Dec 12 at 10:04
Thanks @EI Ruso it worked!!
– aspdeepak
Dec 12 at 10:04
Thanks @EI Ruso it worked!!
– aspdeepak
Dec 12 at 10:04
add a comment |
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