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Hi,

I have 64 GB RAM.

Best,
Kaibo
________________________________
From: freesurfer-boun...@nmr.mgh.harvard.edu 
<freesurfer-boun...@nmr.mgh.harvard.edu> on behalf of Iglesias Gonzalez, Juan 
E. <jiglesiasgonza...@mgh.harvard.edu>
Sent: Monday, October 2, 2023 6:40:19 PM
To: Freesurfer support list <freesurfer@nmr.mgh.harvard.edu>
Subject: Re: [Freesurfer] mri_easyreg error: Killed

You don't often get email from jiglesiasgonza...@mgh.harvard.edu. Learn why 
this is 
important<https://secure-web.cisco.com/17Hhs58uou4wOlI8yITeSP2vCVCaYISuevgqmF-YP1aabO0yJLZEY01E_Yx8Bn2sZySZ_RSFunJWlWCzM5Hz32SENnhx-Gd5au7LA4zbdbYiFIrUjy-o1x2wi0Ad1b-TyaBnVl8tKJLnKJD_rWzV0YcYawdMrpVYW2lvjLzOhdZ0d1vP1Wa6pOt0r17IDubjn3G9qZcfwhPpUtnrFbNP7e7iSzKd45MJ08qeAr4zZhfc1KhhV-LRIGybBEDceqj3QKZ3r4e2oESXKl6_BZXbjfaqRiC14Zchq2v7mh0wxMgmIPz2INPKQ_7LVF0zn8bFQ/https%3A%2F%2Faka.ms%2FLearnAboutSenderIdentification>

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Dear Kaibo,

How much RAM does your machine have?

Cheers,

/Eugenio



--

Juan Eugenio Iglesias

http://secure-web.cisco.com/1FppblFrwV_QhjdZlJJ-sabIQxbb2FzUuN1O5WbYp6pW30cbAfq_gn0YmFztrZMRpSL6vXqLxYIHnlfVJJ9ZSmWCzNHRzUHj0Tv58C0pZkoQfur5-SexDD16y3zVWSjhs47mWNlH-kGxv9egFa3LWbD5Sslt1GVXEL_V9KrHBy4ej4Dk8IE3uBwm8Xpe6klxZjqai-7rUxcnnM-kb1i7-DJQOr9DkqoaANuQ0ekJ5PY-j3Zal4_N7pO2e4mS9XHQsjex9W0YiZ1yXXtx88l-2783WJYA3i0POL2x6W40Cksprluje7TSUzcF2pLOSzF1G/http%3A%2F%2Fwww.jeiglesias.com



From: freesurfer-boun...@nmr.mgh.harvard.edu 
<freesurfer-boun...@nmr.mgh.harvard.edu> on behalf of Tang, Kaibo 
<kt...@unc.edu>
Date: Monday, October 2, 2023 at 8:43 AM
To: freesurfer@nmr.mgh.harvard.edu <freesurfer@nmr.mgh.harvard.edu>
Subject: [Freesurfer] mri_easyreg error: Killed

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Hi FreeSurfer Developers,



I'm attempting to register two T2 images using mri_easyreg (FreeSurfer 7.4.1). 
This is what my bash code looks like:



#!/bin/bash



for subject in ./sub-?????.nii.gz

do

        mri_easyreg --ref ./mni152_t2_strip.nii.gz --flo $subject \

                    --ref_seg ./mni152_t2_strip_parc.nii.gz \

                    --flo_seg "${subject/.nii.gz/_parc.nii.gz}" \

                    --flo_reg "${subject/.nii.gz/_moved.nii.gz}" \

                    --fwd_field "${subject/.nii.gz/_fwd_fld.nii.gz}" \

                    --thread 24

        subject+=" Done!"

        echo $subject

done



This is what the output looks like when I execute the bash script:



2023-10-02 11:15:58.965124: I tensorflow/core/util/port.cc:110] oneDNN custom 
operations are on. You may see slightly different numerical results due to 
floating-point round-off errors from different computation orders. To turn them 
off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.

2023-10-02 11:15:58.988396: I 
tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is 
optimized to use available CPU instructions in performance-critical operations.

To enable the following instructions: AVX2 AVX_VNNI FMA, in other operations, 
rebuild TensorFlow with the appropriate compiler flags.

2023-10-02 11:15:59.313149: W 
tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not 
find TensorRT

using 24 threads

Segmentation of reference image already exists; reading from disk

Segmentation of floating image already exists; reading from disk

Linear registration

  Computing centroids and estimating affine transform

  Reading reference image

  Deforming reference image to reference space

  Deforming reference segmentation to reference space

  Normalizing intensities of reference image

  Reading floating image

  Deforming floating image to reference space

  Deforming floating segmentation to reference space

  Normalizing intensities of floating image

2023-10-02 11:16:08.118592: E 
tensorflow/compiler/xla/stream_executor/cuda/cuda_driver.cc:266] failed call to 
cuInit: CUDA_ERROR_NO_DEVICE: no CUDA-capable device is detected

2023-10-02 11:16:08.118640: I 
tensorflow/compiler/xla/stream_executor/cuda/cuda_diagnostics.cc:168] 
retrieving CUDA diagnostic information for host: kaibo-Alienware-Aurora-R13

2023-10-02 11:16:08.118647: I 
tensorflow/compiler/xla/stream_executor/cuda/cuda_diagnostics.cc:175] hostname: 
kaibo-Alienware-Aurora-R13

2023-10-02 11:16:08.118766: I 
tensorflow/compiler/xla/stream_executor/cuda/cuda_diagnostics.cc:199] libcuda 
reported version is: 510.108.3

2023-10-02 11:16:08.118794: I 
tensorflow/compiler/xla/stream_executor/cuda/cuda_diagnostics.cc:203] kernel 
reported version is: 510.108.3

2023-10-02 11:16:08.118801: I 
tensorflow/compiler/xla/stream_executor/cuda/cuda_diagnostics.cc:309] kernel 
version seems to match DSO: 510.108.3

UserWarning: int_downsize is deprecated, use the int_resolution parameter.

UserWarning: unet_half_res is deprecated, use the svf_resolution parameter.

./easyreg.sh: line 3: 1588985 Killed                  mri_easyreg --ref 
./mni152_t2_strip.nii.gz --flo $subject --ref_seg ./mni152_t2_strip_parc.nii.gz 
--flo_seg "${subject/.nii.gz/_parc.nii.gz}" --flo_reg 
"${subject/.nii.gz/_moved.nii.gz}" --fwd_field 
"${subject/.nii.gz/_fwd_fld.nii.gz}" --thread 24

./sub-00001.nii.gz Done!



When I checked the folder, I saw only the parcellation results. Neither the 
moved floating image nor the forward field were generated.



I initially thought this might be a memory problem and I set --thread 1 but I 
ended up getting the same result (Killed).



I've searched the list and there was another error (MailScanner has detected a 
possible fraud attempt from "secure-web.cisco.com" claiming to be 
https://secure-web.cisco.com/1Isa_VC0nqDChVRzBk_FN9quL_94Cvp41-ZZvNimRwjniG6_jXPQal9SIl12alnu8-tk5EqNr7AgUpYD-m3N8rT07qqaarhtjo02mitdGZpx_ziTVNioXo8sfwE8xrR2exNP59qdxH1ApcJYh13wpGi-oflfZrRnBjAh6qxwfuBMydpDGpGpYxWX9sIAua_6SSjX9xvxzoC1xOtmpepIm8BxFAMLOMeYjIib8WdhMEyw9PvwFnsLV-fnni7hfeJjrkRxTkr-oDnhEs0K4lMosLqsUC0mPxwnUtgDfBmAsbimYvdanCAgAtxtOUwEcAwJN/https%3A%2F%2Fwww.mail-archive.com%2Ffreesurfer%40nmr.mgh.harvard.edu%2Fmsg75001.html<https://secure-web.cisco.com/1oerdskR7ZTpxdkdU8iIXVp5sQdJ_BWDnyMHH3nMMFRZxQmw09udoBAQU3797SK7CqMgUzI2gQjf_BWb-NQyloanH4pjWR9TRjhtWcNq-p7mqnOEoyepCh4LTb98wYr-JoNaSVPY0fJEzkZQ2s6hg7OgZd-OgDH_pzZvgxj7pEyKf7-AS4RRrzFjuQPVpAyBK5HcAf7tsCGEdO90xpQg9YVMXxlt7Oaok7p5ojtiawjtpLaTqDRyY8Dn34pA1ULAoD18zr2LboaYdjC4hU0edeFOss2Ijsna8mF4G03aa1tRzLNFV4tMznQDO-0-94ZhJTf1FeYXes_TvCWMWMndT5g/https%3A%2F%2Fwww.mail-archive.com%2Ffreesurfer%40nmr.mgh.harvard.edu%2Fmsg75001.html>)
 similar to mine. But I don't think mine was related. Can anyone provide any 
insight into this?



FreeSurfer version: freesurfer-linux-ubuntu22_x86_64-7.4.1-20230614-7eb8460

Platform: Ubuntu 22.04.2 LTS

I am running the script on 12th Gen Intel® Core™ i9-12900KF × 24 with a 64.0 
GiB memory and NVIDIA Corporation GA102 [GeForce RTX 3090].



Thanks,

Kaibo




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