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Gha multi gpu #2

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df2effd
added gpu_picker to pick or not gpu in each notebook
Aug 29, 2025
d596800
shortened the training for testing purpose
Aug 29, 2025
c529dc0
switching runner and modify profile
Aug 29, 2025
d47c69d
moving to a real training
Aug 29, 2025
846554c
limit concurrent jobs accessing the storage to 2
Sep 1, 2025
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10 changes: 9 additions & 1 deletion .github/workflows/train.yaml
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Original file line number Diff line number Diff line change
Expand Up @@ -20,12 +20,20 @@ jobs:
name: pp-2016-MU-Sim10b-${{ github.head_ref }}
snakemake_dir: pidgan
target: cache_container validate_all
main_runner: aiinfn-lamarrsim-4gpus
model_prefix: pid
additional_config: |
storage_folder: pid-2016MagUp-Sim10b

additional_profile: |
jobs: 1
jobs: 4
cores: 32

resources:
mem_mb: 500000
millicpu: 32000
gpu: 4
connections_to_storage: 2

generated_model_path: /tmp/compiled_model.c
secrets:
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2 changes: 1 addition & 1 deletion pidgan/config/config.yaml
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Expand Up @@ -6,7 +6,7 @@ apptainer_cached_image: /tmp/lb-pidsim-train.sif
sample: 2016MU
storage_folder: tests
temp_dir: /tmp
training_time_limit_seconds: 600
training_time_limit_seconds: 1200
entries_for_validation: 1000000

nbconvert_args:
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6 changes: 4 additions & 2 deletions pidgan/workflow/Snakefile
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Original file line number Diff line number Diff line change
Expand Up @@ -80,7 +80,8 @@ rule preprocessing:
resources:
cpu=8,
mem_mb=32000,
gpu=0
gpu=0,
connections_to_storage=1,

shell:
"""
Expand Down Expand Up @@ -265,7 +266,8 @@ rule validate:
resources:
cpu=4,
mem_mb=15000,
gpu=0
gpu=0,
connections_to_storage=1,

shell:
"""
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12 changes: 10 additions & 2 deletions pidgan/workflow/notebooks/Deploy.ipynb
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Expand Up @@ -4,7 +4,13 @@
"cell_type": "code",
"execution_count": 1,
"id": "73cdaffe-5f9a-421e-8108-009115be1b94",
"metadata": {},
"metadata": {
"editable": true,
"slideshow": {
"slide_type": ""
},
"tags": []
},
"outputs": [
{
"name": "stderr",
Expand All @@ -23,7 +29,9 @@
"import scikinC\n",
"from datetime import datetime\n",
"import hashlib\n",
"from preprocessing_utils import ProbNNTransformer_fwd, ProbNNTransformer_bwd"
"from preprocessing_utils import ProbNNTransformer_fwd, ProbNNTransformer_bwd\n",
"from gpu_picker import request_gpu\n",
"print(\"Request gpu:\", request_gpu(False))"
]
},
{
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18 changes: 16 additions & 2 deletions pidgan/workflow/notebooks/GlobalPID-im-preprocessing.ipynb
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Expand Up @@ -3,7 +3,13 @@
{
"cell_type": "markdown",
"id": "28185ab6-475a-4e7e-82ed-9293c407146d",
"metadata": {},
"metadata": {
"editable": true,
"slideshow": {
"slide_type": ""
},
"tags": []
},
"source": [
"# Preprocessing steps for _GlobalPID_ models (for isMuon=True)"
]
Expand All @@ -12,7 +18,13 @@
"cell_type": "code",
"execution_count": 1,
"id": "9330759e-6339-4cd9-bd04-8426edb4ebeb",
"metadata": {},
"metadata": {
"editable": true,
"slideshow": {
"slide_type": ""
},
"tags": []
},
"outputs": [
{
"data": {
Expand All @@ -33,6 +45,7 @@
"source": [
"import os\n",
"from IPython.display import Markdown\n",
"from gpu_picker import request_gpu\n",
"\n",
"PARTICLE = os.environ.get(\"PARTICLE\", \"muon\")\n",
"LOCAL = os.environ.get(\"LOCAL\", \"yes\").lower() in ['y', 'yes', 'true', '1']\n",
Expand All @@ -42,6 +55,7 @@
" * PARTICLE: `{PARTICLE}`\n",
" * LOCAL: `{LOCAL}`\n",
" * SAMPLE: `{SAMPLE}`\n",
" * REQUESTED GPU: `{request_gpu(False)}`\n",
"\"\"\")"
]
},
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18 changes: 16 additions & 2 deletions pidgan/workflow/notebooks/GlobalPID-im-train.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -3,7 +3,13 @@
{
"cell_type": "markdown",
"id": "496d2ab8-65b0-4113-bf74-edaed195fae2",
"metadata": {},
"metadata": {
"editable": true,
"slideshow": {
"slide_type": ""
},
"tags": []
},
"source": [
"# Training of the _GlobalPID_ model for particles passing the isMuon criterion\n",
"\n",
Expand All @@ -16,7 +22,13 @@
"cell_type": "code",
"execution_count": 1,
"id": "90f91f2f-e0d2-4873-8990-21116d927d03",
"metadata": {},
"metadata": {
"editable": true,
"slideshow": {
"slide_type": ""
},
"tags": []
},
"outputs": [
{
"data": {
Expand All @@ -39,6 +51,7 @@
"source": [
"import os\n",
"from IPython.display import Markdown\n",
"from gpu_picker import request_gpu\n",
"\n",
"LOCAL = os.environ.get(\"LOCAL\", \"yes\").lower() in ['y', 'yes', 'true', '1']\n",
"TEST = os.environ.get(\"TEST\", \"yes\").lower() in ['y', 'yes', 'true', '1']\n",
Expand All @@ -50,6 +63,7 @@
" * SAMPLE: `{SAMPLE}`\n",
" * TEST: `{TEST}`\n",
" * PARTICLE: `{PARTICLE}`\n",
" * REQUESTED GPU: `{request_gpu(True)}`\n",
"\"\"\")"
]
},
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20 changes: 17 additions & 3 deletions pidgan/workflow/notebooks/GlobalPID-nm-preprocessing.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -3,7 +3,13 @@
{
"cell_type": "markdown",
"id": "9800a068-ce09-45a1-ae4a-6edec0747e13",
"metadata": {},
"metadata": {
"editable": true,
"slideshow": {
"slide_type": ""
},
"tags": []
},
"source": [
"# Preprocessing steps for _GlobalPID_ models (for isMuon=False)"
]
Expand All @@ -12,7 +18,13 @@
"cell_type": "code",
"execution_count": 1,
"id": "f095e84c-a1ec-4ffc-9384-6cc06ef6eeb3",
"metadata": {},
"metadata": {
"editable": true,
"slideshow": {
"slide_type": ""
},
"tags": []
},
"outputs": [
{
"data": {
Expand All @@ -34,6 +46,7 @@
"source": [
"import os\n",
"from IPython.display import Markdown\n",
"from gpu_picker import request_gpu\n",
"\n",
"PARTICLE = os.environ.get(\"PARTICLE\", \"muon\")\n",
"LOCAL = os.environ.get(\"LOCAL\", \"yes\").lower() in ['y', 'yes', 'true', '1']\n",
Expand All @@ -42,7 +55,8 @@
"Markdown(f\"\"\"\n",
" * PARTICLE: `{PARTICLE}`\n",
" * LOCAL: `{LOCAL}`\n",
" * SAMPLE: `{SAMPLE}`\n",
" * SAMPLE: `{SAMPLE}` \n",
" * REQUESTED GPU: `{request_gpu(False)}`\n",
"\"\"\")"
]
},
Expand Down
18 changes: 16 additions & 2 deletions pidgan/workflow/notebooks/GlobalPID-nm-train.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -3,7 +3,13 @@
{
"cell_type": "markdown",
"id": "496d2ab8-65b0-4113-bf74-edaed195fae2",
"metadata": {},
"metadata": {
"editable": true,
"slideshow": {
"slide_type": ""
},
"tags": []
},
"source": [
"# Training of the _GlobalPID_ model for particles **NOT** passing the isMuon criterion\n",
"\n",
Expand All @@ -16,7 +22,13 @@
"cell_type": "code",
"execution_count": 1,
"id": "90f91f2f-e0d2-4873-8990-21116d927d03",
"metadata": {},
"metadata": {
"editable": true,
"slideshow": {
"slide_type": ""
},
"tags": []
},
"outputs": [
{
"data": {
Expand All @@ -39,6 +51,7 @@
"source": [
"import os\n",
"from IPython.display import Markdown\n",
"from gpu_picker import request_gpu\n",
"\n",
"LOCAL = os.environ.get(\"LOCAL\", \"yes\").lower() in ['y', 'yes', 'true', '1']\n",
"TEST = os.environ.get(\"TEST\", \"yes\").lower() in ['y', 'yes', 'true', '1']\n",
Expand All @@ -49,6 +62,7 @@
" * LOCAL: `{LOCAL}`\n",
" * SAMPLE: `{SAMPLE}`\n",
" * TEST: `{TEST}`\n",
" * REQUESTED GPU: `{request_gpu(True)}`\n",
" * PARTICLE: `{PARTICLE}`\n",
"\"\"\")"
]
Expand Down
27 changes: 24 additions & 3 deletions pidgan/workflow/notebooks/Muon-preprocessing.ipynb
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Expand Up @@ -2,20 +2,33 @@
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"metadata": {
"editable": true,
"slideshow": {
"slide_type": ""
},
"tags": []
},
"source": [
"# Preprocessing steps for _MUON_ models"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"metadata": {
"editable": true,
"slideshow": {
"slide_type": ""
},
"tags": []
},
"outputs": [
{
"data": {
"text/markdown": [
"\n",
" * PARTICLE: `muon`\n",
" * LOCAL: `True`\n",
" * SAMPLE: `2016MU`\n"
],
Expand All @@ -31,6 +44,7 @@
"source": [
"import os\n",
"from IPython.display import Markdown\n",
"from gpu_picker import request_gpu\n",
"\n",
"PARTICLE = os.environ.get(\"PARTICLE\", \"muon\")\n",
"LOCAL = os.environ.get(\"LOCAL\", \"yes\").lower() in ['y', 'yes', 'true', '1']\n",
Expand All @@ -40,12 +54,19 @@
" * PARTICLE: `{PARTICLE}`\n",
" * LOCAL: `{LOCAL}`\n",
" * SAMPLE: `{SAMPLE}`\n",
" * REQUESTED GPU: `{request_gpu(False)}`\n",
"\"\"\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"metadata": {
"editable": true,
"slideshow": {
"slide_type": ""
},
"tags": []
},
"source": [
"## Technologies and libraries\n",
"\n",
Expand Down
19 changes: 17 additions & 2 deletions pidgan/workflow/notebooks/Muon-train.ipynb
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Expand Up @@ -3,7 +3,13 @@
{
"cell_type": "markdown",
"id": "496d2ab8-65b0-4113-bf74-edaed195fae2",
"metadata": {},
"metadata": {
"editable": true,
"slideshow": {
"slide_type": ""
},
"tags": []
},
"source": [
"# Training of the _Muon_ model \n",
"\n",
Expand All @@ -16,7 +22,13 @@
"cell_type": "code",
"execution_count": 1,
"id": "90f91f2f-e0d2-4873-8990-21116d927d03",
"metadata": {},
"metadata": {
"editable": true,
"slideshow": {
"slide_type": ""
},
"tags": []
},
"outputs": [
{
"data": {
Expand All @@ -39,6 +51,7 @@
"source": [
"import os\n",
"from IPython.display import Markdown\n",
"from gpu_picker import request_gpu\n",
"\n",
"LOCAL = os.environ.get(\"LOCAL\", \"yes\").lower() in ['y', 'yes', 'true', '1']\n",
"TEST = os.environ.get(\"TEST\", \"yes\").lower() in ['y', 'yes', 'true', '1']\n",
Expand All @@ -50,6 +63,8 @@
" * SAMPLE: `{SAMPLE}`\n",
" * TEST: `{TEST}`\n",
" * PARTICLE: `{PARTICLE}`\n",
" * REQUESTED GPU: `{request_gpu(True)}`\n",
"\n",
"\"\"\")"
]
},
Expand Down
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