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Fidle
Commits
659137cd
Commit
659137cd
authored
4 years ago
by
Jean-Luc Parouty
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Merge branch 'dev' of gricad-gitlab.univ-grenoble-alpes.fr:talks/fidle into dev
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GTSRB/06-Notebook-as-a-batch.ipynb
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659137cd
...
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@@ -31,117 +31,7 @@
"cell_type": "markdown",
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"### Step 1 - Import and init \n",
"Not really useful here ;-)"
]
},
{
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"execution_count": 1,
"metadata": {},
"outputs": [
{
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"</style>\n",
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],
"text/plain": [
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]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/markdown": [
"<br>**FIDLE 2020 - Practical Work Module**"
],
"text/plain": [
"<IPython.core.display.Markdown object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Version : 1.2b1 DEV\n",
"Notebook id : GTSRB6\n",
"Run time : Thursday 7 January 2021, 15:41:17\n",
"TensorFlow version : 2.2.0\n",
"Keras version : 2.3.0-tf\n",
"Datasets dir : /home/pjluc/datasets/fidle\n",
"Run dir : ./run\n",
"Update keras cache : False\n",
"Save figs : True\n",
"Path figs : ./run/figs\n"
]
}
],
"source": [
"import sys\n",
"\n",
"sys.path.append('..')\n",
"import fidle.pwk as pwk\n",
"\n",
"datasets_dir = pwk.init('GTSRB6')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Step 2 - How to run a notebook as a batch ?\n",
"## Step 1 - How to run a notebook as a batch ?\n",
"\n",
"Two simple solutions are possible :-)\n",
"\n",
...
...
@@ -173,16 +63,16 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"## Step
3
- Run as a script\n",
"## Step
2
- Run as a script\n",
"\n",
"Maybe not always the best solution, but this solution is very rustic ! \n",
"\n",
"###
3
.1 - Convert to IPython script :"
"###
2
.1 - Convert to IPython script :"
]
},
{
"cell_type": "code",
"execution_count":
2
,
"execution_count":
1
,
"metadata": {},
"outputs": [
{
...
...
@@ -190,8 +80,8 @@
"output_type": "stream",
"text": [
"[NbConvertApp] Converting notebook 05-Full-convolutions.ipynb to script\n",
"[NbConvertApp] Writing 128
5
4 bytes to 05-full_convolutions.py\n",
"-rw-r--r-- 1
pjluc pjluc
128
5
4 Jan
7 15:41
05-full_convolutions.py\n"
"[NbConvertApp] Writing 12
9
84 bytes to 05-full_convolutions.py\n",
"-rw-r--r-- 1
uja62cb mlh
12
9
84 Jan
28 11:35
05-full_convolutions.py\n"
]
}
],
...
...
@@ -206,9 +96,9 @@
"source": [
"### 2.2 - Batch submission\n",
"\n",
"See the two examples of bash launch script :\n",
" -
`
batch_slurm.sh
`
using Slurm (like at IDRIS)\n",
" -
`
batch_oar.sh
`
using OAR (like at GRICAD)"
"
See the two examples of bash launch script :\n",
" -
[
batch_slurm.sh
](batch_slurm.sh)
using Slurm (like at IDRIS)\n",
" -
[
batch_oar.sh
](batch_oar.sh)
using OAR (like at GRICAD)"
]
},
{
...
...
@@ -267,40 +157,19 @@
"```\n"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"End time is : Thursday 7 January 2021, 15:41:18\n",
"Duration is : 00:00:01 101ms\n",
"This notebook ends here\n"
]
}
],
"source": [
"pwk.end()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"----\n",
"<div class='todo'>\n",
" Your mission if you accept it: Run our full_convolution code in batch mode.<br>\n",
"**What you can do :**\n",
"\n",
"(If you have a calculation environment with a scheduler...)\n",
"Your mission if you accept it: Run our full_convolution code in batch mode.<br>\n",
" For that :\n",
" <ul>\n",
" <li>Validate the full_convolution notebook on short tests</li>\n",
" <li>Submit it in batch mode for validation</li>\n",
" <li>Modify the notebook for a full run and submit it :-)</li>\n",
" </ul>\n",
" \n",
"</div>"
" - Validate the full_convolution notebook on short tests</li>\n",
" - Submit it in batch mode for validation</li>\n",
" - Modify the notebook for a full run and submit it :-)</li>\n"
]
},
{
...
...
%% Cell type:markdown id: tags:
<img
width=
"800px"
src=
"../fidle/img/00-Fidle-header-01.svg"
></img>
# <!-- TITLE --> [GTSRB6] - Full convolutions as a batch
<!-- DESC -->
Episode 6 : To compute bigger, use your notebook in batch mode
<!-- AUTHOR : Jean-Luc Parouty (CNRS/SIMaP) -->
## Objectives :
-
Run a notebook code as a
**job**
-
Follow up with Tensorboard
The German Traffic Sign Recognition Benchmark (GTSRB) is a dataset with more than 50,000 photos of road signs from about 40 classes.
The final aim is to recognise them !
Description is available there : http://benchmark.ini.rub.de/?section=gtsrb&subsection=dataset
## What we're going to do :
Our main steps:
-
Run Full-convolution.ipynb as a batch :
-
Notebook mode
-
Script mode
-
Tensorboard follow up
%% Cell type:markdown id: tags:
### Step 1 - Import and init
Not really useful here ;-)
%% Cell type:code id: tags:
```
python
import
sys
sys
.
path
.
append
(
'
..
'
)
import
fidle.pwk
as
pwk
datasets_dir
=
pwk
.
init
(
'
GTSRB6
'
)
```
%% Output
<br>**FIDLE 2020 - Practical Work Module**
Version : 1.2b1 DEV
Notebook id : GTSRB6
Run time : Thursday 7 January 2021, 15:41:17
TensorFlow version : 2.2.0
Keras version : 2.3.0-tf
Datasets dir : /home/pjluc/datasets/fidle
Run dir : ./run
Update keras cache : False
Save figs : True
Path figs : ./run/figs
%% Cell type:markdown id: tags:
## Step 2 - How to run a notebook as a batch ?
## Step 1 - How to run a notebook as a batch ?
Two simple solutions are possible :-)
-
**Option 1 - As a notebook ! (a good choice)**
Very simple.
The result is the executed notebook, so we can retrieve all the cell'soutputs of the notebook :
```
jupyter nbconvert (...) --to notebook --execute <notebook>```
Example :
```
jupyter nbconvert --ExecutePreprocessor.timeout=-1 --to notebook --execute my_notebook.ipynb'
```
The result will be a notebook: 'my_notebook.nbconvert.ipynb'.
See: [nbconvert documentation](https://nbconvert.readthedocs.io/en/latest/usage.html#convert-notebook)
- **Option 2 - As a script**
Very simple too, but with some constraints on the notebook.
We will convert the notebook to a Python script (IPython, to be precise) :
```
jupyter nbconvert --to script
<notebook>
```
Then we can execute this script :
```
ipython
<script>
```
See: [nbconvert documentation](https://nbconvert.readthedocs.io/en/latest/usage.html#executable-script)
%% Cell type:markdown id: tags:
## Step
3
- Run as a script
## Step
2
- Run as a script
Maybe not always the best solution, but this solution is very rustic !
###
3
.1 - Convert to IPython script :
###
2
.1 - Convert to IPython script :
%% Cell type:code id: tags:
```
python
! jupyter nbconvert --to script --output='05-full_convolutions' '05-Full-convolutions.ipynb'
! ls -l
*
.py
```
%% Output
[NbConvertApp] Converting notebook 05-Full-convolutions.ipynb to script
[NbConvertApp] Writing 128
5
4 bytes to 05-full_convolutions.py
-rw-r--r-- 1
pjluc pjluc
128
5
4 Jan
7 15:41
05-full_convolutions.py
[NbConvertApp] Writing 12
9
84 bytes to 05-full_convolutions.py
-rw-r--r-- 1
uja62cb mlh
12
9
84 Jan
28 11:35
05-full_convolutions.py
%% Cell type:markdown id: tags:
### 2.2 - Batch submission
See the two examples of bash launch script :
-
`
batch_slurm.sh
`
using Slurm (like at IDRIS)
-
`
batch_oar.sh
`
using OAR (like at GRICAD)
See the two examples of bash launch script :
-
[
batch_slurm.sh
](batch_slurm.sh)
using Slurm (like at IDRIS)
-
[
batch_oar.sh
](batch_oar.sh)
using OAR (like at GRICAD)
%% Cell type:markdown id: tags:
#### Example at IDRIS
On the frontal :
```
bash
# hostname
jean-zay2
# sbatch $WORK/fidle/GTSRB/batch_slurm.sh
Submitted batch job 249794
#squeue -u $USER
JOBID PARTITION NAME USER ST TIME NODES NODELIST(REASON)
249794 gpu_p1 GTSRB Fu uja62cb PD 0:00 1 (Resources)
# ls -l _batch/
total 32769
-rw-r--r-- 1 uja62cb gensim01 13349 Sep 10 11:32 GTSRB_249794.err
-rw-r--r-- 1 uja62cb gensim01 489 Sep 10 11:31 GTSRB_249794.out
```
%% Cell type:markdown id: tags:
#### Example at GRICAD
Have to be done on the frontal :
```
bash
# hostname
f-dahu
# pwd
/home/paroutyj
# oarsub -S ~/fidle/GTSRB/batch_oar.sh
[GPUNODE] Adding gpu node restriction
[ADMISSION RULE] Modify resource description with type constraints
#oarstat -u
Job id S User Duration System message
--------- - -------- ---------- ------------------------------------------------
5878410 R paroutyj 0:19:56 R=8,W=1:0:0,J=I,P=fidle,T=gpu (Karma=0.005,quota_ok)
5896266 W paroutyj 0:00:00 R=8,W=1:0:0,J=B,N=Full convolutions,P=fidle,T=gpu
# ls -l
total 8
-rw-r--r-- 1 paroutyj l-simap 0 Feb 28 15:58 batch_oar_5896266.err
-rw-r--r-- 1 paroutyj l-simap 5703 Feb 28 15:58 batch_oar_5896266.out
```
%% Cell type:code id: tags:
```
python
pwk.end()
```
%% Output
End time is : Thursday 7 January 2021, 15:41:18
Duration is : 00:00:01 101ms
This notebook ends here
%% Cell type:markdown id: tags:
----
<div class='todo'>
Your mission if you accept it: Run our full_convolution code in batch mode.<br>
For that :
<ul>
<li>Validate the full_convolution notebook on short tests</li>
<li>Submit it in batch mode for validation</li>
<li>Modify the notebook for a full run and submit it :-)</li>
</ul>
**What you can do :**
</div>
(If you have a calculation environment with a scheduler...)
Your mission if you accept it: Run our full_convolution code in batch mode.<br>
For that :
- Validate the full_convolution notebook on short tests</li>
- Submit it in batch mode for validation</li>
- Modify the notebook for a full run and submit it :-)</li>
%% Cell type:markdown id: tags:
---
<img width="80px" src="../fidle/img/00-Fidle-logo-01.svg"></img>
...
...
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