Initializing libiomp5.dylib, but found libomp.dylib already initialized. #78490

datumbox · 2022-05-25T11:02:28Z

🐛 Describe the bug

The issue appears on MacOS py3.8, it started after updating to the latest nightly 1.13.0.dev20220525-py3.8_0 from core (previously I was at 1.12.0.dev20220309-py3.8_0, so the issue could have been introduced earlier than May 25th). I'm receiving the following after importing numpy and pytorch together:

$ python -c "import numpy;import torch"
OMP: Error pytorch/vision#15: Initializing libiomp5.dylib, but found libomp.dylib already initialized.
OMP: Hint This means that multiple copies of the OpenMP runtime have been linked into the program. That is dangerous, since it can degrade performance or cause incorrect results. The best thing to do is to ensure that only a single OpenMP runtime is linked into the process, e.g. by avoiding static linking of the OpenMP runtime in any library. As an unsafe, unsupported, undocumented workaround you can set the environment variable KMP_DUPLICATE_LIB_OK=TRUE to allow the program to continue to execute, but that may cause crashes or silently produce incorrect results. For more information, please see http://www.intel.com/software/products/support/.

python3 -mtorch.utils.collect_env
Collecting environment information...
PyTorch version: 1.13.0.dev20220525
Is debug build: False
CUDA used to build PyTorch: None
ROCM used to build PyTorch: N/A

OS: macOS 12.3.1 (x86_64)
GCC version: Could not collect
Clang version: 12.0.0 (clang-1200.0.32.21)
CMake version: version 3.18.4
Libc version: N/A

Python version: 3.8.12 | packaged by conda-forge | (default, Oct 12 2021, 21:50:38)  [Clang 11.1.0 ] (64-bit runtime)
Python platform: macOS-10.16-x86_64-i386-64bit
Is CUDA available: False
CUDA runtime version: No CUDA
GPU models and configuration: No CUDA
Nvidia driver version: No CUDA
cuDNN version: No CUDA
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True

Versions of relevant libraries:
[pip3] efficientnet-pytorch==0.7.1
[pip3] mypy==0.931
[pip3] mypy-extensions==0.4.3
[pip3] numpy==1.22.4
[pip3] torch==1.13.0.dev20220525
[pip3] torchdata==0.4.0a0+652986b
[pip3] torchvision==0.14.0a0+9a72fd6
[pip3] torchviz==0.0.2
[conda] blas                      2.112                       mkl    conda-forge
[conda] blas-devel                3.9.0              12_osx64_mkl    conda-forge
[conda] efficientnet-pytorch      0.7.1                    pypi_0    pypi
[conda] libblas                   3.9.0              12_osx64_mkl    conda-forge
[conda] libcblas                  3.9.0              12_osx64_mkl    conda-forge
[conda] liblapack                 3.9.0              12_osx64_mkl    conda-forge
[conda] liblapacke                3.9.0              12_osx64_mkl    conda-forge
[conda] mkl                       2021.4.0           h89fa619_689    conda-forge
[conda] mkl-devel                 2021.4.0           h694c41f_690    conda-forge
[conda] mkl-include               2021.4.0           hf224eb6_689    conda-forge
[conda] numpy                     1.22.4           py38h3ad0702_0    conda-forge
[conda] pytorch                   1.13.0.dev20220525         py3.8_0    pytorch-nightly
[conda] torchdata                 0.4.0a0+652986b          pypi_0    pypi
[conda] torchvision               0.14.0a0+9a72fd6           dev_0    <develop>
[conda] torchviz                  0.0.2                    pypi_0    pypi

Strangely, importing first torch works:

python -c "import torch;import numpy;print('works')"
works

Setting KMP_DUPLICATE_LIB_OK=TRUE as env var solves the issue while invoking from console:

KMP_DUPLICATE_LIB_OK=TRUE python -c "import numpy;import torch;print('works')"                                         
works

Sometimes I get segfaults thought, this doesn't seem like a stable solution.

Versions

Latest Core nightly (20220525).

The text was updated successfully, but these errors were encountered:

datumbox · 2022-05-25T13:00:50Z

I've ended "fixing" the issue by wiping my conda setup, moving to py3.10 and reinstalling dependencies. The issue was definitely not related to TorchVision as I managed to reproduce it only using Core. It could be related to some weird dependency on my system though.

As discussed with @atalman I'll leave the issue open just in case this is something suspicious that needs to be investigated on the future. I know there were a bunch of macOS changes recently on OK. Feel free to close or move to Core.

malfet · 2022-05-25T15:49:10Z

@datumbox you should have run python3 -mtorch.utils.collect_env and posted results here. What I suspect has happened: in your env you've installed PyTorch from wheels, but numpy from conda-forge

atalman · 2022-05-25T15:55:52Z

Looks like its conda issue, I was able to reproduce this:

conda install pytorch torchvision torchaudio -c pytorch-nightly

 python -c "import numpy;import torch"
OMP: Error pytorch/vision#15: Initializing libiomp5.dylib, but found libomp.dylib already initialized.
OMP: Hint This means that multiple copies of the OpenMP runtime have been linked into the program. That is dangerous, since it can degrade performance or cause incorrect results. The best thing to do is to ensure that only a single OpenMP runtime is linked into the process, e.g. by avoiding static linking of the OpenMP runtime in any library. As an unsafe, unsupported, undocumented workaround you can set the environment variable KMP_DUPLICATE_LIB_OK=TRUE to allow the program to continue to execute, but that may cause crashes or silently produce incorrect results. For more information, please see http://www.intel.com/software/products/support/.
Abort trap: 6

malfet · 2022-05-25T15:56:26Z

@atalman can you please run python3 -mtorch.utils.collect_env and post results here?

atalman · 2022-05-25T15:56:55Z

Here they are, this config was failing

python3 -mtorch.utils.collect_env
Collecting environment information...
PyTorch version: 1.13.0.dev20220525
Is debug build: False
CUDA used to build PyTorch: None
ROCM used to build PyTorch: N/A

OS: macOS 12.3.1 (x86_64)
GCC version: Could not collect
Clang version: 13.1.6 (clang-1316.0.21.2.3)
CMake version: Could not collect
Libc version: N/A

Python version: 3.9.7 (default, Sep 16 2021, 08:50:36)  [Clang 10.0.0 ] (64-bit runtime)
Python platform: macOS-10.16-x86_64-i386-64bit
Is CUDA available: False
CUDA runtime version: No CUDA
GPU models and configuration: No CUDA
Nvidia driver version: No CUDA
cuDNN version: No CUDA
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True

Versions of relevant libraries:
[pip3] mypy-extensions==0.4.3
[pip3] numpy==1.20.3
[pip3] numpydoc==1.1.0
[pip3] torch==1.13.0.dev20220525
[pip3] torchaudio==0.12.0.dev20220525
[pip3] torchvision==0.14.0.dev20220525
[conda] blas                      1.0                         mkl  
[conda] mkl                       2021.4.0           hecd8cb5_637  
[conda] mkl-service               2.4.0            py39h9ed2024_0  
[conda] mkl_fft                   1.3.1            py39h4ab4a9b_0  
[conda] mkl_random                1.2.2            py39hb2f4e1b_0  
[conda] numpy                     1.20.3           py39h4b4dc7a_0  
[conda] numpy-base                1.20.3           py39he0bd621_0  
[conda] numpydoc                  1.1.0              pyhd3eb1b0_1  
[conda] pytorch                   1.13.0.dev20220525         py3.9_0    pytorch-nightly
[conda] torch                     1.12.0                   pypi_0    pypi
[conda] torchaudio                0.12.0.dev20220511          pypi_0    pypi
[conda] torchvision               0.13.0.dev20220511          pypi_0    pypi

datumbox · 2022-05-25T16:22:33Z

@malfet I've updated the issue with the requested output. In my case your suspicion seems correct which is different from what @atalman reports. Hope it helps. Feel free to move this issue on PyTorch core if you want, as this is not related to TorchVision.

atalman · 2022-05-25T17:12:03Z

@datumbox @malfet

Looks like I was able to mitigate this issue by doing following

conda conda uninstall intel-openmp
conda install -c intel openmp
conda install numpy
conda install pytorch torchvision torchaudio -c pytorch-nightly

So looks like problem could be related to openmp

python3 -mtorch.utils.collect_env
Collecting environment information...
PyTorch version: 1.13.0.dev20220525
Is debug build: False
CUDA used to build PyTorch: None
ROCM used to build PyTorch: N/A

OS: macOS 12.3.1 (x86_64)
GCC version: Could not collect
Clang version: 13.1.6 (clang-1316.0.21.2.3)
CMake version: Could not collect
Libc version: N/A

Python version: 3.9.7 (default, Sep 16 2021, 08:50:36)  [Clang 10.0.0 ] (64-bit runtime)
Python platform: macOS-10.16-x86_64-i386-64bit
Is CUDA available: False
CUDA runtime version: No CUDA
GPU models and configuration: No CUDA
Nvidia driver version: No CUDA
cuDNN version: No CUDA
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True

Versions of relevant libraries:
[pip3] numpy==1.22.3
[pip3] torch==1.13.0.dev20220525
[pip3] torchaudio==0.12.0.dev20220525
[pip3] torchvision==0.14.0.dev20220525
[conda] blas                      1.0                         mkl  
[conda] mkl                       2021.4.0           hecd8cb5_637  
[conda] mkl-service               2.4.0            py39h9ed2024_0  
[conda] mkl_fft                   1.3.1            py39h4ab4a9b_0  
[conda] mkl_random                1.2.2            py39hb2f4e1b_0  
[conda] numpy                     1.22.3           py39h2e5f0a9_0  
[conda] numpy-base                1.22.3           py39h3b1a694_0  
[conda] pytorch                   1.13.0.dev20220525         py3.9_0    pytorch-nightly
[conda] torch                     1.12.0                   pypi_0    pypi
[conda] torchaudio                0.12.0.dev20220511          pypi_0    pypi
[conda] torchvision               0.13.0.dev20220511          pypi_0    pypi

malfet · 2022-05-26T13:38:24Z

Ok, can we please clarify the following: what conda package provides libiomp5.dylib? If it's provided by MKL base, that we do not need to bundle it with the package, but rather take it from conda, i.e. following function should not be called when building conda packages for MacOS

pytorch/setup.py

Line 432 in 18d46ea

def _embed_libiomp(self):

atalman · 2022-05-31T15:16:00Z

After doing some more research I found out that this error is resolved by

conda remove mkl

however we can reintroduce this issue by installing

conda install numpy-base=1.22.3

which installs following packages:

  numpy-base         pkgs/main/osx-64::numpy-base-1.22.3-py310hfd2de13_0

Summary: Fixes #78490 Following command: ``` conda install pytorch torchvision torchaudio -c pytorch-nightly ``` Installs libiomp . Hence we don't want to package libiomp with conda installs. However, we still keep it for libtorch and wheels. Pull Request resolved: #78632 Approved by: https://github.com/malfet Test Plan: contbuild & OSS CI, see https://hud.pytorch.org/commit/pytorch/pytorch/ca7f948806d296727d16233dd82392fa6664aa89 Reviewed By: b0noI Differential Revision: D36854265 Pulled By: atalman fbshipit-source-id: 1b9a2f034cac822d9936febaa7b94213c31af19f

jamt9000 · 2022-06-29T17:39:30Z

I am also getting this with python 3.10 on intel mac and the released pytorch 1.12.0

python -c "import numpy;import torch"
OMP: Error #15: Initializing libiomp5.dylib, but found libomp.dylib already initialized.
OMP: Hint This means that multiple copies of the OpenMP runtime have been linked into the program. That is dangerous, since it can degrade performance or cause incorrect results. The best thing to do is to ensure that only a single OpenMP runtime is linked into the process, e.g. by avoiding static linking of the OpenMP runtime in any library. As an unsafe, unsupported, undocumented workaround you can set the environment variable KMP_DUPLICATE_LIB_OK=TRUE to allow the program to continue to execute, but that may cause crashes or silently produce incorrect results. For more information, please see http://www.intel.com/software/products/support/.
[1]    40520 abort      python -c "import numpy;import torch"

python3 -mtorch.utils.collect_env
Collecting environment information...
PyTorch version: 1.12.0
Is debug build: False
CUDA used to build PyTorch: None
ROCM used to build PyTorch: N/A

OS: macOS 12.3.1 (x86_64)
GCC version: Could not collect
Clang version: 13.0.0 (clang-1300.0.29.30)
CMake version: version 3.21.3
Libc version: N/A

Python version: 3.10.5 | packaged by conda-forge | (main, Jun 14 2022, 07:03:09) [Clang 13.0.1 ] (64-bit runtime)
Python platform: macOS-12.3.1-x86_64-i386-64bit
Is CUDA available: False
CUDA runtime version: No CUDA
GPU models and configuration: No CUDA
Nvidia driver version: No CUDA
cuDNN version: No CUDA
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True

Versions of relevant libraries:
[pip3] efficientnet-pytorch==0.6.3
[pip3] numpy==1.22.3
[pip3] torch==1.12.0
[pip3] torchvision==0.13.0
[conda] blas                      1.0                         mkl
[conda] efficientnet-pytorch      0.6.3                    pypi_0    pypi
[conda] mkl                       2021.4.0           h89fa619_689    conda-forge
[conda] mkl-fft                   1.3.1                    pypi_0    pypi
[conda] mkl-random                1.2.2                    pypi_0    pypi
[conda] mkl-service               2.4.0                    pypi_0    pypi
[conda] mkl_fft                   1.3.1           py310h9c6a5af_1    conda-forge
[conda] mkl_random                1.2.2           py310hc081a56_0
[conda] numpy                     1.22.3                   pypi_0    pypi
[conda] numpy-base                1.22.3          py310hfd2de13_0
[conda] pytorch                   1.12.0                 py3.10_0    pytorch
[conda] torch                     1.12.0                   pypi_0    pypi
[conda] torchvision               0.13.0                   pypi_0    pypi

atalman · 2022-06-29T19:57:12Z

@jamt9000 please use workaround this issue by setting KMP_DUPLICATE_LIB_OK=TRUE python -c "import numpy;import torch;print('works')"
By accident this change was not included in the release 1.12.0

datumbox · 2022-06-30T08:44:53Z

@atalman Thanks for jumping in to fix the issue. I don't see a PR to update TorchVision to point at a different binary. Do we need any action on our side or all changes are done on Core? cc @YosuaMichael

atalman · 2022-06-30T16:16:52Z

reopeing, cherry-pick required for 1.12.1

atalman · 2022-07-07T14:59:06Z

closing for now as it is resolved in master, will be cherry picking it for 1.12.1

…torch#78632) Summary: Fixes pytorch#78490 Following command: ``` conda install pytorch torchvision torchaudio -c pytorch-nightly ``` Installs libiomp . Hence we don't want to package libiomp with conda installs. However, we still keep it for libtorch and wheels. Pull Request resolved: pytorch#78632 Approved by: https://github.com/malfet Test Plan: contbuild & OSS CI, see https://hud.pytorch.org/commit/pytorch/pytorch/ca7f948806d296727d16233dd82392fa6664aa89 Reviewed By: b0noI Differential Revision: D36854265 Pulled By: atalman fbshipit-source-id: 1b9a2f034cac822d9936febaa7b94213c31af19f

…81873) Summary: Fixes #78490 Following command: ``` conda install pytorch torchvision torchaudio -c pytorch-nightly ``` Installs libiomp . Hence we don't want to package libiomp with conda installs. However, we still keep it for libtorch and wheels. Pull Request resolved: #78632 Approved by: https://github.com/malfet Test Plan: contbuild & OSS CI, see https://hud.pytorch.org/commit/pytorch/pytorch/ca7f948806d296727d16233dd82392fa6664aa89 Reviewed By: b0noI Differential Revision: D36854265 Pulled By: atalman fbshipit-source-id: 1b9a2f034cac822d9936febaa7b94213c31af19f

See pytorch/pytorch#78490

samgelman · 2022-08-10T23:11:47Z

I'm still getting this problem with 1.12.1. The workaround KMP_DUPLICATE_LIB_OK=TRUE causes a segfault for me. Going to stick with 1.11 until it gets resolved.

Edit: I did some debugging, and if I import wandb before torch, I get the error OMP: Error #15: Initializing libiomp5.dylib, but found libomp.dylib already initialized.. But if I import torch before wandb, everything works. For now I'll just change the order of my imports, but does anyone have any ideas as to what's causing the problem?

yuanmao · 2022-08-16T20:36:28Z

I have the same issue as @samgelman on my MacOS.

Notably 1.10.1, 1.11.0 works fine but 1.10.2 and 1.12.1 shows:

OMP: Error #15: Initializing libiomp5.dylib, but found libomp.dylib already initialized.
OMP: Hint This means that multiple copies of the OpenMP runtime have been linked into the program. That is dangerous, since it can degrade performance or cause incorrect results. The best thing to do is to ensure that only a single OpenMP runtime is linked into the process, e.g. by avoiding static linking of the OpenMP runtime in any library. As an unsafe, unsupported, undocumented workaround you can set the environment variable KMP_DUPLICATE_LIB_OK=TRUE to allow the program to continue to execute, but that may cause crashes or silently produce incorrect results. For more information, please see http://www.intel.com/software/products/support/.
Abort trap: 6

One observation is that both 1.10.1 and 1.11.0 also come with libuv installation, which might have made the difference.

The workaround KMP_DUPLICATE_LIB_OK=TRUE causes a segfault.

Below is a working env:

python3 -mtorch.utils.collect_env
Collecting environment information...
PyTorch version: 1.10.1
Is debug build: False
CUDA used to build PyTorch: None
ROCM used to build PyTorch: N/A

OS: macOS 12.5 (x86_64)
GCC version: Could not collect
Clang version: 12.0.0 (clang-1200.0.31.1)
CMake version: Could not collect
Libc version: N/A

Python version: 3.8.13 (default, Mar 28 2022, 06:16:26)  [Clang 12.0.0 ] (64-bit runtime)
Python platform: macOS-10.16-x86_64-i386-64bit
Is CUDA available: False
CUDA runtime version: No CUDA
GPU models and configuration: No CUDA
Nvidia driver version: No CUDA
cuDNN version: No CUDA
HIP runtime version: N/A
MIOpen runtime version: N/A

Versions of relevant libraries:
[pip3] mypy-extensions==0.4.3
[pip3] numpy==1.21.5
[pip3] torch==1.10.1
[conda] blas                      1.0                         mkl  
[conda] mkl                       2021.4.0           hecd8cb5_637  
[conda] mkl-service               2.4.0            py38h9ed2024_0  
[conda] mkl_fft                   1.3.1            py38h4ab4a9b_0  
[conda] mkl_random                1.2.2            py38hb2f4e1b_0  
[conda] mypy_extensions           0.4.3            py38hecd8cb5_1  
[conda] numpy                     1.21.5           py38h2e5f0a9_3  
[conda] numpy-base                1.21.5           py38h3b1a694_3  
[conda] pytorch                   1.10.1                  py3.8_0    pytorch

XhxngX2 · 2022-08-22T13:58:26Z

same issue here... after spending several days fixing this issue, I'm actually quitting doing ML on M1 mac

sfc-gh-tmathew · 2022-09-15T02:22:45Z

If I install pytorch first in my conda environment, I see the actual files libiomp5.dylib in two places.

~/opt/anaconda3/envs/<my conda env>/lib/libiomp5.dylib
~/opt/anaconda3/envs/<my conda env>/lib/python3.8/site-packages/torch/lib/libiomp5.dylib

I do not get the OpenMP error.

However, if I install jupyter into this environment the file libiomp5.dylib gets updated to a link pointing to libomp.dylib.
~/opt/anaconda3/envs/<my conda env>/lib/libiomp5.dylib -> libomp.dylib
~/opt/anaconda3/envs/<my conda env>/lib/libomp.dylib
~/opt/anaconda3/envs/<my conda env>/lib/python3.8/site-packages/torch/lib/libiomp5.dylib

After which, the error comes back again.

Is there a reason that libiomp5.dylib is present in two locations after pytorch install ?

pytorch/pytorch#78490

FreeBlues · 2023-03-28T20:56:16Z

On my MacBookPro (intel cpu), I got the similar error:

(invokeai) ppt@pptdeMacBook-Pro invokeAI % python scripts/invoke.py --web --host 0.0.0.0
OMP: Error #15: Initializing libomp.dylib, but found libiomp5.dylib already initialized.
OMP: Hint This means that multiple copies of the OpenMP runtime have been linked into the program. That is dangerous, since it can degrade performance or cause incorrect results. The best thing to do is to ensure that only a single OpenMP runtime is linked into the process, e.g. by avoiding static linking of the OpenMP runtime in any library. As an unsafe, unsupported, undocumented workaround you can set the environment variable KMP_DUPLICATE_LIB_OK=TRUE to allow the program to continue to execute, but that may cause crashes or silently produce incorrect results. For more information, please see http://openmp.llvm.org/
zsh: abort      python scripts/invoke.py --web --host 0.0.0.0
(invokeai) ppt@pptdeMacBook-Pro invokeAI %

Add the env var, get a segment fault error:

(invokeai) ppt@pptdeMacBook-Pro invokeAI % export KMP_DUPLICATE_LIB_OK=TRUE
(invokeai) ppt@pptdeMacBook-Pro invokeAI % python scripts/invoke.py --web --host 0.0.0.0
zsh: segmentation fault  python scripts/invoke.py --web --host 0.0.0.0
(invokeai) ppt@pptdeMacBook-Pro invokeAI %

I search for libomp5.dylib and libomp.dylib, below is the log:

no libomp.dylib

many libomp5.dylib:

(base) ppt@pptdeMacBook-Pro testInvokeai % find ~/ -name "libiomp5.dylib"
find: /Users/ppt//Library/Application Support/MobileSync: Operation not permitted
...
find: /Users/ppt//Library/Caches/com.apple.ap.adprivacyd: Operation not permitted
/Users/ppt//Github/stable-diffusion/venv/lib/python3.10/site-packages/torch/.dylibs/libiomp5.dylib
/Users/ppt//Github/stable-diffusion/venv/lib/python3.10/site-packages/torch/lib/libiomp5.dylib
/Users/ppt//Github/kohya_ss/venv/lib/python3.10/site-packages/torch/.dylibs/libiomp5.dylib
/Users/ppt//Github/kohya_ss/venv/lib/python3.10/site-packages/torch/lib/libiomp5.dylib
/Users/ppt//Github/macSD/macenv/lib/python3.10/site-packages/torch/lib/libiomp5.dylib
/Users/ppt//Github/macSD/macenv/lib/python3.10/site-packages/functorch/.dylibs/libiomp5.dylib
find: /Users/ppt//.Trash: Operation not permitted
find: /Users/ppt//Documents: Operation not permitted
/Users/ppt//.pyenv/versions/anaconda3-2022.05/pkgs/llvm-openmp-12.0.0-h0dcd299_1/lib/libiomp5.dylib
/Users/ppt//.pyenv/versions/anaconda3-2022.05/pkgs/llvm-openmp-14.0.4-ha654fa7_0/lib/libiomp5.dylib
/Users/ppt//.pyenv/versions/anaconda3-2022.05/pkgs/llvm-openmp-14.0.6-h0dcd299_0/lib/libiomp5.dylib
/Users/ppt//.pyenv/versions/anaconda3-2022.05/pkgs/intel-openmp-2021.4.0-hecd8cb5_3538/lib/libiomp5.dylib
/Users/ppt//.pyenv/versions/anaconda3-2022.05/lib/libiomp5.dylib
/Users/ppt//.pyenv/versions/anaconda3-2022.05/envs/web-ui/lib/python3.10/site-packages/torch/lib/libiomp5.dylib
/Users/ppt//.pyenv/versions/anaconda3-2022.05/envs/web-ui/lib/python3.10/site-packages/functorch/.dylibs/libiomp5.dylib
/Users/ppt//.pyenv/versions/anaconda3-2022.05/envs/ldm/lib/libiomp5.dylib
/Users/ppt//miniconda/pkgs/llvm-openmp-14.0.4-ha654fa7_0/lib/libiomp5.dylib
/Users/ppt//miniconda/pkgs/pytorch-1.12.1-py3.10_0/lib/python3.10/site-packages/torch/lib/libiomp5.dylib
/Users/ppt//miniconda/pkgs/llvm-openmp-14.0.6-h0dcd299_0/lib/libiomp5.dylib
/Users/ppt//miniconda/pkgs/llvm-openmp-15.0.6-h61d9ccf_0/lib/libiomp5.dylib
/Users/ppt//miniconda/pkgs/intel-openmp-2021.4.0-hecd8cb5_3538/lib/libiomp5.dylib
/Users/ppt//miniconda/envs/invokeai/lib/libiomp5.dylib
/Users/ppt//miniconda/envs/invokeai/lib/python3.10/site-packages/torch/.dylibs/libiomp5.dylib
/Users/ppt//miniconda/envs/invokeai/lib/python3.10/site-packages/torch/lib/libiomp5.dylib
/Users/ppt//miniconda/envs/web-ui/lib/libiomp5.dylib
/Users/ppt//miniconda/envs/web-ui/lib/python3.10/site-packages/torch/.dylibs/libiomp5.dylib
/Users/ppt//miniconda/envs/web-ui/lib/python3.10/site-packages/torch/lib/libiomp5.dylib
/Users/ppt//miniconda/envs/bfirsh/lib/python3.10/site-packages/torch/lib/libiomp5.dylib
/Users/ppt//miniconda/envs/bfirsh/lib/python3.10/site-packages/functorch/.dylibs/libiomp5.dylib
/Users/ppt//miniconda/envs/invokeai-2.1/lib/libiomp5.dylib
/Users/ppt//miniconda/envs/modelscope/lib/python3.7/site-packages/torch/lib/libiomp5.dylib
/Users/ppt//miniconda/envs/modelscope/lib/python3.7/site-packages/functorch/.dylibs/libiomp5.dylib
/Users/ppt//miniconda/envs/ldm/lib/libiomp5.dylib
/Users/ppt//miniconda/envs/train-model/lib/python3.10/site-packages/torch/.dylibs/libiomp5.dylib
/Users/ppt//miniconda/envs/train-model/lib/python3.10/site-packages/torch/lib/libiomp5.dylib
/Users/ppt//miniconda/envs/fsbang/lib/libiomp5.dylib
/Users/ppt//miniconda/envs/ldm-orig/lib/libiomp5.dylib
(base) ppt@pptdeMacBook-Pro testInvokeai % find ~/ -name "libiomp.dylib" 
find: /Users/ppt//Library/Application Support/MobileSync: Operation not permitted
find: /Users/ppt//Library/Application Support/CallHistoryTransactions: Operation not permitted
find: /Users/ppt//Library/Application Support/CloudDocs/session/db: Operation not permitted
find: /Users/ppt//Library/Application Support/com.apple.sharedfilelist: Operation not permitted
find: /Users/ppt//Library/Application Support/Knowledge: Operation not permitted
find: /Users/ppt//Library/Application Support/com.apple.TCC: Operation not permitted
find: /Users/ppt//Library/Application Support/FileProvider: Operation not permitted
find: /Users/ppt//Library/Application Support/AddressBook: Operation not permitted
find: /Users/ppt//Library/Application Support/FaceTime: Operation not permitted
find: /Users/ppt//Library/Application Support/com.apple.avfoundation/Frecents: Operation not permitted
find: /Users/ppt//Library/Application Support/CallHistoryDB: Operation not permitted
find: /Users/ppt//Library/Assistant/SiriVocabulary: Operation not permitted
find: /Users/ppt//Library/Autosave Information: Operation not permitted
find: /Users/ppt//Library/IdentityServices: Operation not permitted
find: /Users/ppt//Library/Calendars: Operation not permitted
find: /Users/ppt//Library/Messages: Operation not permitted
find: /Users/ppt//Library/HomeKit: Operation not permitted
find: /Users/ppt//Library/Sharing: Operation not permitted
find: /Users/ppt//Library/com.apple.aiml.instrumentation: Operation not permitted
find: /Users/ppt//Library/Mail: Operation not permitted
find: /Users/ppt//Library/Trial: Operation not permitted
find: /Users/ppt//Library/AppleMediaServices: Operation not permitted
find: /Users/ppt//Library/DuetExpertCenter: Operation not permitted
find: /Users/ppt//Library/Accounts: Operation not permitted
find: /Users/ppt//Library/Safari: Operation not permitted
find: /Users/ppt//Library/Biome: Operation not permitted
find: /Users/ppt//Library/IntelligencePlatform: Operation not permitted
find: /Users/ppt//Library/Shortcuts: Operation not permitted
find: /Users/ppt//Library/Suggestions: Operation not permitted
find: /Users/ppt//Library/Weather: Operation not permitted
find: /Users/ppt//Library/Group Containers/group.com.apple.secure-control-center-preferences: Operation not permitted
find: /Users/ppt//Library/Group Containers/group.com.apple.notes: Operation not permitted
find: /Users/ppt//Library/Containers/com.apple.VoiceMemos: Operation not permitted
find: /Users/ppt//Library/Containers/com.apple.archiveutility: Operation not permitted
find: /Users/ppt//Library/Containers/com.apple.Maps/Data/Maps: Operation not permitted
find: /Users/ppt//Library/Containers/com.apple.Home: Operation not permitted
find: /Users/ppt//Library/Containers/com.apple.Safari: Operation not permitted
find: /Users/ppt//Library/Containers/com.apple.iChat: Operation not permitted
find: /Users/ppt//Library/Containers/com.apple.CloudDocs.MobileDocumentsFileProvider: Operation not permitted
find: /Users/ppt//Library/Containers/com.apple.mail: Operation not permitted
find: /Users/ppt//Library/Containers/com.apple.Notes: Operation not permitted
find: /Users/ppt//Library/Containers/com.apple.news: Operation not permitted
find: /Users/ppt//Library/Containers/com.apple.corerecents.recentsd/Data/Library/Recents: Operation not permitted
find: /Users/ppt//Library/Containers/com.apple.stocks: Operation not permitted
find: /Users/ppt//Library/PersonalizationPortrait: Operation not permitted
find: /Users/ppt//Library/Metadata/CoreSpotlight: Operation not permitted
find: /Users/ppt//Library/Reminders: Operation not permitted
find: /Users/ppt//Library/Cookies: Operation not permitted
find: /Users/ppt//Library/CoreFollowUp: Operation not permitted
find: /Users/ppt//Library/StatusKit: Operation not permitted
find: /Users/ppt//Library/DoNotDisturb: Operation not permitted
find: /Users/ppt//Library/Caches/com.apple.HomeKit: Operation not permitted
find: /Users/ppt//Library/Caches/CloudKit: Operation not permitted
find: /Users/ppt//Library/Caches/com.apple.Safari: Operation not permitted
find: /Users/ppt//Library/Caches/com.apple.findmy.fmfcore: Operation not permitted
find: /Users/ppt//Library/Caches/FamilyCircle: Operation not permitted
find: /Users/ppt//Library/Caches/com.apple.homed: Operation not permitted
find: /Users/ppt//Library/Caches/com.apple.findmy.fmipcore: Operation not permitted
find: /Users/ppt//Library/Caches/com.apple.ap.adprivacyd: Operation not permitted
find: /Users/ppt//.Trash: Operation not permitted
find: /Users/ppt//Documents: Operation not permitted
(base) ppt@pptdeMacBook-Pro testInvokeai %

ffelten · 2023-04-05T11:55:31Z

Having the same issue on Pytorch 2 here:

Collecting environment information...
PyTorch version: 2.0.0
Is debug build: False
CUDA used to build PyTorch: None
ROCM used to build PyTorch: N/A

OS: macOS 12.3.1 (x86_64)
GCC version: Could not collect
Clang version: 15.0.7
CMake version: version 3.25.2
Libc version: N/A

Python version: 3.10.9 (main, Dec 15 2022, 18:18:30) [Clang 14.0.0 (clang-1400.0.29.202)] (64-bit runtime)
Python platform: macOS-12.3.1-x86_64-i386-64bit
Is CUDA available: False
CUDA runtime version: No CUDA
CUDA_MODULE_LOADING set to: N/A
GPU models and configuration: No CUDA
Nvidia driver version: No CUDA
cuDNN version: No CUDA
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True

CPU:
Intel(R) Core(TM) i7-9750H CPU @ 2.60GHz

Versions of relevant libraries:
[pip3] mypy-extensions==1.0.0
[pip3] numpy==1.24.2
[pip3] torch==2.0.0
[pip3] torchaudio==2.0.1
[pip3] torchvision==0.15.1
[conda] Could not collect

The line KMP_DUPLICATE_LIB_OK=TRUE python -c "import numpy;import torch;print('works')" works on my terminal. However, my program gets stuck somehow.

ashishgpersonal · 2023-04-19T08:27:06Z

I am using this on windows11 and getting the same bug. None of the suggested solutions works except for setting the environment variable.

… mac pytorch/pytorch#78490

gernophil · 2023-09-30T19:04:15Z

This issue still exists for macOS using Rosetta2 (native arm64 works). Haven't found a working solution yet except the env variable.

jacquesqiao · 2023-10-15T12:20:30Z

On my MacBookPro (intel cpu), I got the similar error:

(invokeai) ppt@pptdeMacBook-Pro invokeAI % python scripts/invoke.py --web --host 0.0.0.0
OMP: Error #15: Initializing libomp.dylib, but found libiomp5.dylib already initialized.
OMP: Hint This means that multiple copies of the OpenMP runtime have been linked into the program. That is dangerous, since it can degrade performance or cause incorrect results. The best thing to do is to ensure that only a single OpenMP runtime is linked into the process, e.g. by avoiding static linking of the OpenMP runtime in any library. As an unsafe, unsupported, undocumented workaround you can set the environment variable KMP_DUPLICATE_LIB_OK=TRUE to allow the program to continue to execute, but that may cause crashes or silently produce incorrect results. For more information, please see http://openmp.llvm.org/
zsh: abort      python scripts/invoke.py --web --host 0.0.0.0
(invokeai) ppt@pptdeMacBook-Pro invokeAI %

Add the env var, get a segment fault error:

(invokeai) ppt@pptdeMacBook-Pro invokeAI % export KMP_DUPLICATE_LIB_OK=TRUE
(invokeai) ppt@pptdeMacBook-Pro invokeAI % python scripts/invoke.py --web --host 0.0.0.0
zsh: segmentation fault  python scripts/invoke.py --web --host 0.0.0.0
(invokeai) ppt@pptdeMacBook-Pro invokeAI %

I search for libomp5.dylib and libomp.dylib, below is the log:

no libomp.dylib

many libomp5.dylib:

(base) ppt@pptdeMacBook-Pro testInvokeai % find ~/ -name "libiomp5.dylib"
find: /Users/ppt//Library/Application Support/MobileSync: Operation not permitted
...
find: /Users/ppt//Library/Caches/com.apple.ap.adprivacyd: Operation not permitted
/Users/ppt//Github/stable-diffusion/venv/lib/python3.10/site-packages/torch/.dylibs/libiomp5.dylib
/Users/ppt//Github/stable-diffusion/venv/lib/python3.10/site-packages/torch/lib/libiomp5.dylib
/Users/ppt//Github/kohya_ss/venv/lib/python3.10/site-packages/torch/.dylibs/libiomp5.dylib
/Users/ppt//Github/kohya_ss/venv/lib/python3.10/site-packages/torch/lib/libiomp5.dylib
/Users/ppt//Github/macSD/macenv/lib/python3.10/site-packages/torch/lib/libiomp5.dylib
/Users/ppt//Github/macSD/macenv/lib/python3.10/site-packages/functorch/.dylibs/libiomp5.dylib
find: /Users/ppt//.Trash: Operation not permitted
find: /Users/ppt//Documents: Operation not permitted
/Users/ppt//.pyenv/versions/anaconda3-2022.05/pkgs/llvm-openmp-12.0.0-h0dcd299_1/lib/libiomp5.dylib
/Users/ppt//.pyenv/versions/anaconda3-2022.05/pkgs/llvm-openmp-14.0.4-ha654fa7_0/lib/libiomp5.dylib
/Users/ppt//.pyenv/versions/anaconda3-2022.05/pkgs/llvm-openmp-14.0.6-h0dcd299_0/lib/libiomp5.dylib
/Users/ppt//.pyenv/versions/anaconda3-2022.05/pkgs/intel-openmp-2021.4.0-hecd8cb5_3538/lib/libiomp5.dylib
/Users/ppt//.pyenv/versions/anaconda3-2022.05/lib/libiomp5.dylib
/Users/ppt//.pyenv/versions/anaconda3-2022.05/envs/web-ui/lib/python3.10/site-packages/torch/lib/libiomp5.dylib
/Users/ppt//.pyenv/versions/anaconda3-2022.05/envs/web-ui/lib/python3.10/site-packages/functorch/.dylibs/libiomp5.dylib
/Users/ppt//.pyenv/versions/anaconda3-2022.05/envs/ldm/lib/libiomp5.dylib
/Users/ppt//miniconda/pkgs/llvm-openmp-14.0.4-ha654fa7_0/lib/libiomp5.dylib
/Users/ppt//miniconda/pkgs/pytorch-1.12.1-py3.10_0/lib/python3.10/site-packages/torch/lib/libiomp5.dylib
/Users/ppt//miniconda/pkgs/llvm-openmp-14.0.6-h0dcd299_0/lib/libiomp5.dylib
/Users/ppt//miniconda/pkgs/llvm-openmp-15.0.6-h61d9ccf_0/lib/libiomp5.dylib
/Users/ppt//miniconda/pkgs/intel-openmp-2021.4.0-hecd8cb5_3538/lib/libiomp5.dylib
/Users/ppt//miniconda/envs/invokeai/lib/libiomp5.dylib
/Users/ppt//miniconda/envs/invokeai/lib/python3.10/site-packages/torch/.dylibs/libiomp5.dylib
/Users/ppt//miniconda/envs/invokeai/lib/python3.10/site-packages/torch/lib/libiomp5.dylib
/Users/ppt//miniconda/envs/web-ui/lib/libiomp5.dylib
/Users/ppt//miniconda/envs/web-ui/lib/python3.10/site-packages/torch/.dylibs/libiomp5.dylib
/Users/ppt//miniconda/envs/web-ui/lib/python3.10/site-packages/torch/lib/libiomp5.dylib
/Users/ppt//miniconda/envs/bfirsh/lib/python3.10/site-packages/torch/lib/libiomp5.dylib
/Users/ppt//miniconda/envs/bfirsh/lib/python3.10/site-packages/functorch/.dylibs/libiomp5.dylib
/Users/ppt//miniconda/envs/invokeai-2.1/lib/libiomp5.dylib
/Users/ppt//miniconda/envs/modelscope/lib/python3.7/site-packages/torch/lib/libiomp5.dylib
/Users/ppt//miniconda/envs/modelscope/lib/python3.7/site-packages/functorch/.dylibs/libiomp5.dylib
/Users/ppt//miniconda/envs/ldm/lib/libiomp5.dylib
/Users/ppt//miniconda/envs/train-model/lib/python3.10/site-packages/torch/.dylibs/libiomp5.dylib
/Users/ppt//miniconda/envs/train-model/lib/python3.10/site-packages/torch/lib/libiomp5.dylib
/Users/ppt//miniconda/envs/fsbang/lib/libiomp5.dylib
/Users/ppt//miniconda/envs/ldm-orig/lib/libiomp5.dylib
(base) ppt@pptdeMacBook-Pro testInvokeai % find ~/ -name "libiomp.dylib" 
find: /Users/ppt//Library/Application Support/MobileSync: Operation not permitted
find: /Users/ppt//Library/Application Support/CallHistoryTransactions: Operation not permitted
find: /Users/ppt//Library/Application Support/CloudDocs/session/db: Operation not permitted
find: /Users/ppt//Library/Application Support/com.apple.sharedfilelist: Operation not permitted
find: /Users/ppt//Library/Application Support/Knowledge: Operation not permitted
find: /Users/ppt//Library/Application Support/com.apple.TCC: Operation not permitted
find: /Users/ppt//Library/Application Support/FileProvider: Operation not permitted
find: /Users/ppt//Library/Application Support/AddressBook: Operation not permitted
find: /Users/ppt//Library/Application Support/FaceTime: Operation not permitted
find: /Users/ppt//Library/Application Support/com.apple.avfoundation/Frecents: Operation not permitted
find: /Users/ppt//Library/Application Support/CallHistoryDB: Operation not permitted
find: /Users/ppt//Library/Assistant/SiriVocabulary: Operation not permitted
find: /Users/ppt//Library/Autosave Information: Operation not permitted
find: /Users/ppt//Library/IdentityServices: Operation not permitted
find: /Users/ppt//Library/Calendars: Operation not permitted
find: /Users/ppt//Library/Messages: Operation not permitted
find: /Users/ppt//Library/HomeKit: Operation not permitted
find: /Users/ppt//Library/Sharing: Operation not permitted
find: /Users/ppt//Library/com.apple.aiml.instrumentation: Operation not permitted
find: /Users/ppt//Library/Mail: Operation not permitted
find: /Users/ppt//Library/Trial: Operation not permitted
find: /Users/ppt//Library/AppleMediaServices: Operation not permitted
find: /Users/ppt//Library/DuetExpertCenter: Operation not permitted
find: /Users/ppt//Library/Accounts: Operation not permitted
find: /Users/ppt//Library/Safari: Operation not permitted
find: /Users/ppt//Library/Biome: Operation not permitted
find: /Users/ppt//Library/IntelligencePlatform: Operation not permitted
find: /Users/ppt//Library/Shortcuts: Operation not permitted
find: /Users/ppt//Library/Suggestions: Operation not permitted
find: /Users/ppt//Library/Weather: Operation not permitted
find: /Users/ppt//Library/Group Containers/group.com.apple.secure-control-center-preferences: Operation not permitted
find: /Users/ppt//Library/Group Containers/group.com.apple.notes: Operation not permitted
find: /Users/ppt//Library/Containers/com.apple.VoiceMemos: Operation not permitted
find: /Users/ppt//Library/Containers/com.apple.archiveutility: Operation not permitted
find: /Users/ppt//Library/Containers/com.apple.Maps/Data/Maps: Operation not permitted
find: /Users/ppt//Library/Containers/com.apple.Home: Operation not permitted
find: /Users/ppt//Library/Containers/com.apple.Safari: Operation not permitted
find: /Users/ppt//Library/Containers/com.apple.iChat: Operation not permitted
find: /Users/ppt//Library/Containers/com.apple.CloudDocs.MobileDocumentsFileProvider: Operation not permitted
find: /Users/ppt//Library/Containers/com.apple.mail: Operation not permitted
find: /Users/ppt//Library/Containers/com.apple.Notes: Operation not permitted
find: /Users/ppt//Library/Containers/com.apple.news: Operation not permitted
find: /Users/ppt//Library/Containers/com.apple.corerecents.recentsd/Data/Library/Recents: Operation not permitted
find: /Users/ppt//Library/Containers/com.apple.stocks: Operation not permitted
find: /Users/ppt//Library/PersonalizationPortrait: Operation not permitted
find: /Users/ppt//Library/Metadata/CoreSpotlight: Operation not permitted
find: /Users/ppt//Library/Reminders: Operation not permitted
find: /Users/ppt//Library/Cookies: Operation not permitted
find: /Users/ppt//Library/CoreFollowUp: Operation not permitted
find: /Users/ppt//Library/StatusKit: Operation not permitted
find: /Users/ppt//Library/DoNotDisturb: Operation not permitted
find: /Users/ppt//Library/Caches/com.apple.HomeKit: Operation not permitted
find: /Users/ppt//Library/Caches/CloudKit: Operation not permitted
find: /Users/ppt//Library/Caches/com.apple.Safari: Operation not permitted
find: /Users/ppt//Library/Caches/com.apple.findmy.fmfcore: Operation not permitted
find: /Users/ppt//Library/Caches/FamilyCircle: Operation not permitted
find: /Users/ppt//Library/Caches/com.apple.homed: Operation not permitted
find: /Users/ppt//Library/Caches/com.apple.findmy.fmipcore: Operation not permitted
find: /Users/ppt//Library/Caches/com.apple.ap.adprivacyd: Operation not permitted
find: /Users/ppt//.Trash: Operation not permitted
find: /Users/ppt//Documents: Operation not permitted
(base) ppt@pptdeMacBook-Pro testInvokeai %

@FreeBlues do you find the solution?

heloowird · 2023-12-22T11:56:44Z

I tried as the xgboost issue suggested, then solved:

import os
os.environ["KMP_DUPLICATE_LIB_OK"] = "True"

ForceBru · 2024-03-02T23:37:41Z

I'm getting this too when trying to run a torch.compiled function.

In [1]: import torch

In [2]: x = torch.rand(1024 * 4, 1024 * 4)

In [3]: @torch.compile(fullgraph=True)
   ...: def foo2(x):
   ...:     return torch.sin(x) * torch.cos(x)
   ...: 

In [4]: foo2(x)

I get this error:

BackendCompilerFailed: backend='inductor' raised:
CppCompileError: C++ compile error

Command:
g++ /var/folders/61/p7f15sln0gxd7lwbr58cy6f00000gn/T/torchinductor_forcebru/ss/css5cwjigtuxn36hsrmmmsgiiiswsshuzil6goiihsgwgf5i7iuc.cpp -shared -fPIC -Wall -std=c++17 -Wno-unused-variable -Wno-unknown-pragmas -D_GLIBCXX_USE_CXX11_ABI=0 -I/Users/forcebru/.pyenv/versions/3.11.8/lib/python3.11/site-packages/torch/include -I/Users/forcebru/.pyenv/versions/3.11.8/lib/python3.11/site-packages/torch/include/torch/csrc/api/include -I/Users/forcebru/.pyenv/versions/3.11.8/lib/python3.11/site-packages/torch/include/TH -I/Users/forcebru/.pyenv/versions/3.11.8/lib/python3.11/site-packages/torch/include/THC -I/Users/forcebru/.pyenv/versions/3.11.8/include/python3.11 -L/Users/forcebru/.pyenv/versions/3.11.8/lib/python3.11/site-packages/torch/lib -lomp -lc10 -O3 -DNDEBUG -ffast-math -fno-finite-math-only -fno-unsafe-math-optimizations -Xclang -fopenmp -D C10_USING_CUSTOM_GENERATED_MACROS -o /var/folders/61/p7f15sln0gxd7lwbr58cy6f00000gn/T/torchinductor_forcebru/ss/css5cwjigtuxn36hsrmmmsgiiiswsshuzil6goiihsgwgf5i7iuc.so

Output:
In file included from /var/folders/61/p7f15sln0gxd7lwbr58cy6f00000gn/T/torchinductor_forcebru/ss/css5cwjigtuxn36hsrmmmsgiiiswsshuzil6goiihsgwgf5i7iuc.cpp:2:
/var/folders/61/p7f15sln0gxd7lwbr58cy6f00000gn/T/torchinductor_forcebru/26/c26eqbkuxvn72gf7p2xujmqjcwf4bo6lxmp6rwborxnf4gldnimh.h:8:10: fatal error: 'omp.h' file not found
#include <omp.h>
         ^~~~~~~
1 error generated.


OpenMP support not found. Please try one of the following solutions:
(1) Set the `CXX` environment variable to a compiler other than Apple clang++/g++ that has builtin OpenMP support;
(2) install OpenMP via conda: `conda install llvm-openmp`;
(3) install libomp via brew: `brew install libomp`;
(4) manually setup OpenMP and set the `OMP_PREFIX` environment variable to point to a path with `include/omp.h` under it.

Okay, I run brew install libomp, it works fine. I launch a new shell, run the same Python code and get the error:

OMP: Error #15: Initializing libomp.dylib, but found libiomp5.dylib already initialized.
OMP: Hint This means that multiple copies of the OpenMP runtime have been linked into the program. That is dangerous, since it can degrade performance or cause incorrect results. The best thing to do is to ensure that only a single OpenMP runtime is linked into the process, e.g. by avoiding static linking of the OpenMP runtime in any library. As an unsafe, unsupported, undocumented workaround you can set the environment variable KMP_DUPLICATE_LIB_OK=TRUE to allow the program to continue to execute, but that may cause crashes or silently produce incorrect results. For more information, please see http://openmp.llvm.org/

Looks like I went from having no OpenMP at all to having too much of it?

I found libomp.dylib in /usr/local/opt/libomp/lib as expexted
Couldn't find libiomp5.dylib anywhere...

gernophil · 2024-03-03T20:25:02Z

I installed the libomp.dylib from here, but I don't know how Python should be aware of this, since I only set flags in my .R/Makevars.

datumbox added dependency issue topic: build topic: binaries labels May 25, 2022

atalman self-assigned this May 25, 2022

datumbox transferred this issue from pytorch/vision May 30, 2022

malfet added the module: regression It used to work, and now it doesn't label May 30, 2022

ejguan added the triaged This issue has been looked at a team member, and triaged and prioritized into an appropriate module label May 31, 2022

atalman mentioned this issue Jun 1, 2022

Don't include libiomp with conda install on MacOS #78632

Closed

pytorchmergebot closed this as completed in ca7f948 Jun 1, 2022

PyTorch Dev Infra Backlog automation moved this from Needs Triage to Done Jun 1, 2022

robieta mentioned this issue Jun 7, 2022

[CI] Flaky initialization of OMP #79055

Closed

atalman added this to the 1.12.1 milestone Jun 30, 2022

atalman reopened this Jun 30, 2022

atalman closed this as completed Jul 7, 2022

tanglef mentioned this issue Jul 15, 2022

Patch for chop benchopt/benchmark_logreg_l2#37

Merged

atalman mentioned this issue Jul 21, 2022

Don't include libiomp with conda install on MacOS (#78632) (#78632) #81873

Merged

atalman mentioned this issue Aug 3, 2022

Automating release process - Binary validation, Automatically generating get started page #82725

Closed

19 tasks

mdraw added a commit to StructuralNeurobiologyLab/emcaps that referenced this issue Aug 9, 2022

Fix MacOS OMP bug by requiring pytorch >=1.12.1

08b6a4b

See pytorch/pytorch#78490

yuanmao mentioned this issue Aug 16, 2022

I have the same issue as @samgelman on my MacOS. #83540

Open

NicolasHug mentioned this issue Aug 23, 2022

Jupyter Kernel dies on Import pytorch/vision#6467

Open

kevinyamauchi mentioned this issue Sep 19, 2022

issue with cellpose haesleinhuepf/devbio-napari#17

Closed

cemachelen added a commit to cemac/LIFD_GenerativeAdversarialNetworks that referenced this issue Dec 21, 2022

🪲 import order for Mac bug

b9d9e51

pytorch/pytorch#78490

tbaudier added a commit to OpenGATE/gaga-phsp that referenced this issue Jul 31, 2023

Try to use torch 2.0 and compile the model but I have this error with…

8c24408

… mac pytorch/pytorch#78490

tbaudier mentioned this issue Aug 1, 2023

Torch2 OpenGATE/gaga-phsp#5

Closed

lantunes mentioned this issue Feb 13, 2024

OpenMP Issue lantunes/CrystaLLM#1

Closed

KoljaB mentioned this issue Mar 17, 2024

Multiprocessing issue on macOS KoljaB/RealtimeSTT#33

Open

hmaarrfk mentioned this issue Jun 23, 2024

Segfault on M1 Macbook conda-forge/pytorch-cpu-feedstock#243

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Initializing libiomp5.dylib, but found libomp.dylib already initialized. #78490

Initializing libiomp5.dylib, but found libomp.dylib already initialized. #78490

datumbox commented May 25, 2022 •

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malfet commented May 25, 2022

atalman commented May 25, 2022

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datumbox commented May 25, 2022

atalman commented May 25, 2022 •

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malfet commented May 26, 2022

atalman commented May 31, 2022 •

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jamt9000 commented Jun 29, 2022

atalman commented Jun 29, 2022

datumbox commented Jun 30, 2022

atalman commented Jun 30, 2022

atalman commented Jul 7, 2022

samgelman commented Aug 10, 2022 •

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yuanmao commented Aug 16, 2022

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sfc-gh-tmathew commented Sep 15, 2022 •

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FreeBlues commented Mar 28, 2023

ffelten commented Apr 5, 2023

ashishgpersonal commented Apr 19, 2023

gernophil commented Sep 30, 2023

jacquesqiao commented Oct 15, 2023 •

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heloowird commented Dec 22, 2023

ForceBru commented Mar 2, 2024

gernophil commented Mar 3, 2024

Initializing libiomp5.dylib, but found libomp.dylib already initialized. #78490

Initializing libiomp5.dylib, but found libomp.dylib already initialized. #78490

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datumbox commented May 25, 2022 • edited Loading

🐛 Describe the bug

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atalman commented May 25, 2022 • edited Loading

datumbox commented May 25, 2022

atalman commented May 25, 2022 • edited Loading

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atalman commented May 31, 2022 • edited Loading

jamt9000 commented Jun 29, 2022

atalman commented Jun 29, 2022

datumbox commented Jun 30, 2022

atalman commented Jun 30, 2022

atalman commented Jul 7, 2022

samgelman commented Aug 10, 2022 • edited Loading

yuanmao commented Aug 16, 2022

XhxngX2 commented Aug 22, 2022

sfc-gh-tmathew commented Sep 15, 2022 • edited Loading

FreeBlues commented Mar 28, 2023

ffelten commented Apr 5, 2023

ashishgpersonal commented Apr 19, 2023

gernophil commented Sep 30, 2023

jacquesqiao commented Oct 15, 2023 • edited Loading

heloowird commented Dec 22, 2023

ForceBru commented Mar 2, 2024

gernophil commented Mar 3, 2024

datumbox commented May 25, 2022 •

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atalman commented May 25, 2022 •

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atalman commented May 25, 2022 •

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atalman commented May 31, 2022 •

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samgelman commented Aug 10, 2022 •

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sfc-gh-tmathew commented Sep 15, 2022 •

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jacquesqiao commented Oct 15, 2023 •

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