Yes, following is what I see on the terminal output. I kill my command after I get this error as the only thing that runs after this exception is output from --track-carbon
. I do not see a crash report under the output log sub-folder though.
You are using fMRIPrep-22.1.1, and a newer version of fMRIPrep is available: 23.0.0.
Please check out our documentation about how and when to upgrade:
https://fmriprep.readthedocs.io/en/latest/faq.html#upgrading
--topup-max-vols input is no longer used and the flag will be removed in a future release.
230322-16:13:37,880 cli INFO:
Telemetry system to collect crashes and errors is enabled - thanks for your feedback!. Use option ``--notrack`` to opt out.
230322-16:17:39,975 nipype.workflow IMPORTANT:
CodeCarbon tracker started ...
230322-16:17:39,975 nipype.workflow IMPORTANT:
Using country_iso_code: CAN
230322-16:17:39,975 nipype.workflow IMPORTANT:
Saving logs at: /out/logs
[codecarbon INFO @ 16:17:39] offline tracker init
[codecarbon INFO @ 16:17:39] [setup] RAM Tracking...
[codecarbon INFO @ 16:17:39] [setup] GPU Tracking...
[codecarbon INFO @ 16:17:39] No GPU found.
[codecarbon INFO @ 16:17:39] [setup] CPU Tracking...
[codecarbon INFO @ 16:17:39] Tracking Intel CPU via RAPL interface
[codecarbon INFO @ 16:17:41] >>> Tracker's metadata:
[codecarbon INFO @ 16:17:41] Platform system: Linux-4.4.0-142-generic-x86_64-with-glibc2.31
[codecarbon INFO @ 16:17:41] Python version: 3.9.12
[codecarbon INFO @ 16:17:41] Available RAM : 503.806 GB
[codecarbon INFO @ 16:17:41] CPU count: 40
[codecarbon INFO @ 16:17:41] CPU model: Intel(R) Xeon(R) CPU E5-2630 v4 @ 2.20GHz
[codecarbon INFO @ 16:17:41] GPU count: None
[codecarbon INFO @ 16:17:41] GPU model: None
[codecarbon INFO @ 16:17:56] Energy consumed for RAM : 0.000787 kWh. RAM Power : 188.92708683013916 W
[codecarbon INFO @ 16:17:56] Energy consumed for all CPUs : 0.000211 kWh. All CPUs Power : 50.54294495304314 W
[codecarbon INFO @ 16:17:56] 0.000998 kWh of electricity used since the begining.
[codecarbon INFO @ 16:18:11] Energy consumed for RAM : 0.001575 kWh. RAM Power : 188.92708683013916 W
[codecarbon INFO @ 16:18:11] Energy consumed for all CPUs : 0.000419 kWh. All CPUs Power : 49.911324710202315 W
[codecarbon INFO @ 16:18:11] 0.001995 kWh of electricity used since the begining.
[codecarbon INFO @ 16:18:26] Energy consumed for RAM : 0.002357 kWh. RAM Power : 188.92708683013916 W
[codecarbon INFO @ 16:18:26] Energy consumed for all CPUs : 0.000632 kWh. All CPUs Power : 51.28802216214774 W
[codecarbon INFO @ 16:18:26] 0.002989 kWh of electricity used since the begining.
230322-16:18:29,676 nipype.workflow IMPORTANT:
Running fMRIPrep version 22.1.1
License NOTICE ##################################################
fMRIPrep 22.1.1
Copyright 2022 The NiPreps Developers.
This product includes software developed by
the NiPreps Community (https://nipreps.org/).
Portions of this software were developed at the Department of
Psychology at Stanford University, Stanford, CA, US.
This software redistributes the versioneer Python package, which is
Public domain source code.
This software is also distributed as a Docker container image.
The bootstraping file for the image ("Dockerfile") is licensed
under the MIT License.
This software may be distributed through an add-on package called
"Docker Wrapper" that is under the BSD 3-clause License.
#################################################################
[codecarbon INFO @ 16:18:41] Energy consumed for RAM : 0.003144 kWh. RAM Power : 188.92708683013916 W
[codecarbon INFO @ 16:18:41] Energy consumed for all CPUs : 0.000845 kWh. All CPUs Power : 51.21811490853103 W
[codecarbon INFO @ 16:18:41] 0.003989 kWh of electricity used since the begining.
230322-16:18:44,716 nipype.workflow IMPORTANT:
Building fMRIPrep's workflow:
* BIDS dataset path: /data.
* Participant list: ['FCS02AMC'].
* Run identifier: 20230322-161333_72fd6cfa-e290-4a9f-ad03-18a379caf5f5.
* Output spaces: MNI152NLin6Asym3mm:res-3.
* Pre-run FreeSurfer's SUBJECTS_DIR: /out/freesurfer.
It is highly recommended to configure Git before using DataLad. Set both 'user.name' and 'user.email' configuration variables.
Process Process-2:
Traceback (most recent call last):
File "/opt/conda/lib/python3.9/multiprocessing/process.py", line 315, in _bootstrap
self.run()
File "/opt/conda/lib/python3.9/multiprocessing/process.py", line 108, in run
self._target(*self._args, **self._kwargs)
File "/opt/conda/lib/python3.9/site-packages/fmriprep/cli/workflow.py", line 115, in build_workflow
retval["workflow"] = init_fmriprep_wf()
File "/opt/conda/lib/python3.9/site-packages/fmriprep/workflows/base.py", line 91, in init_fmriprep_wf
single_subject_wf = init_single_subject_wf(subject_id)
File "/opt/conda/lib/python3.9/site-packages/fmriprep/workflows/base.py", line 297, in init_single_subject_wf
anat_preproc_wf = init_anat_preproc_wf(
File "/opt/conda/lib/python3.9/site-packages/smriprep/workflows/anatomical.py", line 387, in init_anat_preproc_wf
anat_norm_wf = init_anat_norm_wf(
File "/opt/conda/lib/python3.9/site-packages/smriprep/workflows/norm.py", line 149, in init_anat_norm_wf
template_meta = get_metadata(template.split(":")[0])
File "/opt/conda/lib/python3.9/site-packages/templateflow/conf/__init__.py", line 65, in wrapper
return func(*args, **kwargs)
File "/opt/conda/lib/python3.9/site-packages/templateflow/api.py", line 170, in get_metadata
_datalad_get(filepath)
File "/opt/conda/lib/python3.9/site-packages/templateflow/api.py", line 205, in _datalad_get
api.get(filepath, dataset=str(TF_LAYOUT.root))
File "/opt/conda/lib/python3.9/site-packages/datalad/interface/utils.py", line 447, in eval_func
return return_func(*args, **kwargs)
File "/opt/conda/lib/python3.9/site-packages/datalad/interface/utils.py", line 439, in return_func
results = list(results)
File "/opt/conda/lib/python3.9/site-packages/datalad/interface/utils.py", line 357, in generator_func
for r in _process_results(
File "/opt/conda/lib/python3.9/site-packages/datalad/interface/utils.py", line 544, in _process_results
for res in results:
File "/opt/conda/lib/python3.9/site-packages/datalad/distribution/get.py", line 857, in __call__
refds = require_dataset(
File "/opt/conda/lib/python3.9/site-packages/datalad/distribution/dataset.py", line 595, in require_dataset
raise NoDatasetFound(
datalad.support.exceptions.NoDatasetFound: No installed dataset found at /CustomTemplateFlow
[codecarbon INFO @ 16:18:56] Energy consumed for RAM : 0.003931 kWh. RAM Power : 188.92708683013916 W
[codecarbon INFO @ 16:18:56] Energy consumed for all CPUs : 0.001028 kWh. All CPUs Power : 43.91478422821897 W
[codecarbon INFO @ 16:18:56] 0.004959 kWh of electricity used since the begining.
[codecarbon INFO @ 16:19:11] Energy consumed for RAM : 0.004718 kWh. RAM Power : 188.92708683013916 W
[codecarbon INFO @ 16:19:11] Energy consumed for all CPUs : 0.001227 kWh. All CPUs Power : 47.666851996791266 W
[codecarbon INFO @ 16:19:11] 0.005945 kWh of electricity used since the begining.