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Commit b34ba888 authored by LEPAGE Gaetan's avatar LEPAGE Gaetan
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remi config

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# Name for your project
project_name: rl_hm
# Inria username
username: galepage
# Name of your Inria workstation
pc_name: alya
# Location of the project on the remote computer
project_remote_path: /scratch/alya/galepage/.remi_projects/rl_hm
# Bastion used to ssh into Inria resources
bastion:
hostname: bastion.inrialpes.fr
username: galepage
# Desktop background jobs
background:
# Which backend to use (`screen` or `tmux`)
backend: screen
# Whether to keep the session alive after the job has ended.
# It lets you attach to the session to see the program output.
# If 'false', the session will be closed when the job is over and stdout/stderr will be lost.
# CAUTION: If true, you will have to manually re-attach and close the session.
keep_session_alive: false
# Virtual environment
virtual_env:
# Enable the virtual environment
enabled: false
# Which virtual environment backend to use (`conda` or `virtualenv`)
type: virtualenv
# For `virtualenv` or `conda` virtual environments, you can specify a custom path.
path: venv/
# The name of your virtual environment (for `conda` environments)
name: my_conda_env
# For `conda` environments, path to a `yaml` configuration path
conda_env_file: environment.yaml
# For `conda` environments, you may specify a python version
python_version: 3.9
# Singularity container options
singularity:
# The name of the 'recipe' file (`.def`) to build the singularity container.
def_file_name: container.def
# The name of the singularity image.
output_sif_name: container.sif
# A dictionnary of binds for the singularity container.
# If the value is empty (''), the mount point is the same as the path on the host.
# By default, the project folder is bound within the singularity container: This configuration
# then allows you to add extra locations.
# Example:
# /path_on_host/my_data: /path_in_container/my_data
bindings:
# Oarsub options (for more details on `oarsub`, please refer to
# https://oar.imag.fr/docs/latest/user/commands/oarsub.html).
oarsub:
# Job name
job_name: rl_hm
# Number of cpus requested.
num_cpus: 1
# Number of cpu cores requested.
# If the value is 0, all the cores for the requested cpus will be used.
num_cpu_cores: 0
# Number of GPUs requested.
# If the value is 0, no GPU will be requested (CPU only).
num_gpus: 1
# The maximum allowed duration for your job.
walltime: '72:00:00'
# The name of the requested cluster (perception, mistis, thoth...)
cluster_name: perception
# Optionnaly specify the id of a specific node (gpu3, node2...)
host_id:
# If the options above are too restricive for your use-case, you may
# directly provide a property list that will be provided to `oarsub` with the
# `-p` flag.
custom_property_query:
# Whether to schedule the job in the besteffort queue.
besteffort: true
# Whether to set the job as idempotent (see oarsub documentation for more details).
idempotent: false
# Remote servers
# Remote servers are applications that run on a remote computer and can be accessed from your local
# browser thanks to remi.
# Two such servers are supported right now:
# - Jupyter notebook
# - TensorBoard
remote_servers:
# The command to run for opening the local browser (`<browser_cmd> <url>`)
browser_cmd: firefox
# Jupyter notebook
jupyter:
# The port (local and remote) for the server
port: 8080
# If true, automatically open the jupyter notebook in the local browser.
open_browser: true
# TensorBoard
tensorboard:
# The port (local and remote) for TensorBoard
port: 9090
# Directory from where to run tensorboard.
logdir: 'output/'
# If true, automatically open TensorBoard in the local browser.
open_browser: true
.remi
output/
notebooks/
.git
__pycache__
.ipynb_checkpoints
logs
.DS_Store
.*.swp
*.egg-info/
**/__pycache__/.idea
.mypy_cache/
venv/
*.sif
build-temp-*
\ No newline at end of file
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