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#!/bin/bash | |
# | |
#SBATCH -J fmriprep | |
#SBATCH --time=48:00:00 | |
#SBATCH -n 1 | |
#SBATCH --cpus-per-task=16 | |
#SBATCH --mem-per-cpu=8G | |
#SBATCH -p HPC # Queue names you can submit to | |
# Outputs ---------------------------------- | |
#SBATCH -o log/%A-%a.out | |
#SBATCH -e log/%A-%a.err | |
#SBATCH --mail-user=%u@domain.tld | |
#SBATCH --mail-type=ALL | |
# ------------------------------------------ | |
# Specify directories and names, change these according to the version of fmriprep | |
BIDS_DIR="$STUDY/rawdata" | |
DERIVS_DIR="$STUDY/derivatives/fmriprep-1.5.2" | |
IMAGE_NAME="poldracklab_fmriprep_1.5.2-2019-12-02-6afc1e0e96cd.simg" | |
IMAGE_DIR="$STUDY/code/singularity" | |
# Prepare some writeable bind-mount points, these are local to prevent network traffic issues | |
TEMPLATEFLOW_HOST_HOME=/tmp/templateflow-$(whoami) | |
FMRIPREP_HOST_CACHE=/tmp/fmriprep-$(whoami) | |
mkdir -p ${TEMPLATEFLOW_HOST_HOME} | |
mkdir -p ${FMRIPREP_HOST_CACHE} | |
# Make derivatives folder | |
mkdir -p ${DERIVS_DIR} | |
# Make variable to represent freesurfer license (download from the freesurfer website) | |
export SINGULARITYENV_FS_LICENSE=$STUDY/code/singularity/license.txt | |
# Make variable for the templateflow bind-mount point inside the container | |
export SINGULARITYENV_TEMPLATEFLOW_HOME="/templateflow" | |
#Specify the singularity command which sets up the environment, binds the $STUDY path to the bind mount point inside the container, and specifies the singularity image | |
SINGULARITY_CMD="singularity run --cleanenv -B $STUDY:/projectFolder -B ${TEMPLATEFLOW_HOST_HOME}:${SINGULARITYENV_TEMPLATEFLOW_HOME} -B $L_SCRATCH:/work $IMAGE_DIR/$IMAGE_NAME" | |
# Parse the participants.tsv file and extract one subject ID from the line corresponding to this SLURM task. | |
subject=$( sed -n -E "$((${SLURM_ARRAY_TASK_ID} + 1))s/sub-(\S*)\>.*/\1/gp" ${BIDS_DIR}/participants.tsv ) | |
# Compose the command line | |
cmd="${SINGULARITY_CMD} /projectFolder/rawdata /projectFolder/derivatives/fmriprep-1.5.2_tempflow-davidm participant --participant-label $subject -w /work --output-spaces MNI152NLin2009cAsym:res-2 anat fsnative fsaverage5 -vv --no-submm-recon --fs-license-file $SINGULARITYENV_FS_LICENSE --skip_bids_validation" | |
# Setup done, run the command | |
echo Running task ${SLURM_ARRAY_TASK_ID} | |
echo Commandline: $cmd | |
eval $cmd | |
exitcode=$? | |
# Output results to a table | |
echo "sub-$subject ${SLURM_ARRAY_TASK_ID} $exitcode" \ | |
>> ${SLURM_JOB_NAME}.${SLURM_ARRAY_JOB_ID}.tsv | |
echo Finished tasks ${SLURM_ARRAY_TASK_ID} with exit code $exitcode | |
exit $exitcode |
@FidgetteSpinneur just pinging you here in case you didn't see my response
re: templateflow issue, nothing immediately jumps out - its possible your cache is out of date, could you try
rm -rf /tmp/templateflow-$(whoami)
before rerunning?
We'll try that, thanks!
Also, L32 seems problematic, as
$STUDY
is mounted as/projectFolder
within the container. It should probably be changed toexport SINGULARITYENV_FS_LICENSE=/projectFolder/code/singularity/license.txt
Ah. Noted, even though we haven't had any issues with that particular part to my knowledge.
Thanks!
re: templateflow issue, nothing immediately jumps out - its possible your cache is out of date, could you try
rm -rf /tmp/templateflow-$(whoami)
before rerunning?
We changed the script so that an entirely new folder is used per run:
TEMPLATEFLOW_HOST_HOME=$(mktemp -t -d $(whoami).templateflow.XXXXXX)
Still same symptoms -- template files are created, but many of them (especially the pertinent ones) size 0. The trick with downloading the templates by invoking the TF API manually also failed in the same way, cf. nipreps/fmriprep#2030 (comment) .... any further clues?
Thanks!
@FidgetSpinneur this problem has been showing its face more frequently, so there have been some changes in developmental versions of templateflow to combat this.
First, install the developmental version of templateflow:
pip install --upgrade --pre templateflow
this should install version 0.6.0rc2
at the moment.
Next, set your templateflow home to the temporary folder, and ensure you are using the S3 bucket:
export TEMPLATEFLOW_HOME=/path/to/folder
export TEMPLATEFLOW_USE_DATALAD=false
Then, you can run the following command to force the skeleton to update:
python -c "import templateflow as tf; tf.update(local=True, overwrite=False)"
Finally, you can fetch the necessary templates:
python -c "import templateflow.api as tfapi; tfapi.get('MNI152NLin2009cAsym')"
# you can add more tfapi.get() calls if you are need other templates for fmriprep to run
Let me know if that helps.
First, install the developmental version of templateflow:
[...]
Let me know if that helps.
Yes! We're good! We'll keep an eye on the releases, I'm guessing once fMRIPrep includes TF >= 0.6.0rc2 we can skip this step?
Thanks a lot for your help!
re: templateflow issue, nothing immediately jumps out - its possible your cache is out of date, could you try
rm -rf /tmp/templateflow-$(whoami)
before rerunning?Also, L32 seems problematic, as
$STUDY
is mounted as/projectFolder
within the container. It should probably be changed to