Illegal instruction (core dumped) in a CPU with AVX support #45744

cserpell · 2020-12-16T14:43:53Z

System information

Have I written custom code (as opposed to using a stock example script provided in TensorFlow): No
OS Platform and Distribution: Linux Ubuntu 20.10
TensorFlow installed from (source or binary): pip, tensorflow-2.4.0-cp38-cp38-manylinux2010_x86_64.whl
TensorFlow version (use command below): tensorflow-2.4.0-cp38-cp38-manylinux2010_x86_64.whl
Python version: 3.8.6
CUDA/cuDNN version: N/A
GPU model and memory: N/A

Describe the current behavior

I was using tensorflow 2 without any issue until a few days ago. I installed it using pip in a new virtualenv environment and now it throws illegal instruction error. My CPU is an i5-3230M, which, according to /proc/cpuinfo supports AVX, so it seems not related to #19584 .

My CPU (according to /proc/cpuinfo):
model name : Intel(R) Core(TM) i5-3230M CPU @ 2.60GHz
flags : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx rdtscp lm constant_tsc arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf pni pclmulqdq dtes64 monitor ds_cpl vmx est tm2 ssse3 cx16 xtpr pdcm pcid sse4_1 sse4_2 x2apic popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm cpuid_fault epb pti ssbd ibrs ibpb stibp tpr_shadow vnmi flexpriority ept vpid fsgsbase smep erms xsaveopt dtherm ida arat pln pts md_clear flush_l1d

System:

$ uname -a
Linux e431 5.8.0-33-generic #36-Ubuntu SMP Wed Dec 9 09:14:40 UTC 2020 x86_64 x86_64 x86_64 GNU/Linux

Describe the expected behavior
The import should work and not give the Illegal instruction (core dumped) error.

Standalone code to reproduce the issue

$ python3 --version
Python 3.8.6
$ python3 -m venv test
$ . test/bin/activate
$ pip install --upgrade pip
Collecting pip
  Using cached pip-20.3.3-py2.py3-none-any.whl (1.5 MB)
Installing collected packages: pip
  Attempting uninstall: pip
    Found existing installation: pip 20.1.1
    Uninstalling pip-20.1.1:
      Successfully uninstalled pip-20.1.1
Successfully installed pip-20.3.3
$ pip install tensorflow
Collecting tensorflow
  Using cached tensorflow-2.4.0-cp38-cp38-manylinux2010_x86_64.whl (394.8 MB)
Collecting gast==0.3.3
  Using cached gast-0.3.3-py2.py3-none-any.whl (9.7 kB)
Collecting absl-py~=0.10
  Using cached absl_py-0.11.0-py3-none-any.whl (127 kB)
Collecting astunparse~=1.6.3
  Using cached astunparse-1.6.3-py2.py3-none-any.whl (12 kB)
Collecting flatbuffers~=1.12.0
  Using cached flatbuffers-1.12-py2.py3-none-any.whl (15 kB)
Collecting google-pasta~=0.2
  Using cached google_pasta-0.2.0-py3-none-any.whl (57 kB)
Collecting grpcio~=1.32.0
  Using cached grpcio-1.32.0-cp38-cp38-manylinux2014_x86_64.whl (3.8 MB)
Collecting h5py~=2.10.0
  Using cached h5py-2.10.0-cp38-cp38-manylinux1_x86_64.whl (2.9 MB)
Collecting keras-preprocessing~=1.1.2
  Using cached Keras_Preprocessing-1.1.2-py2.py3-none-any.whl (42 kB)
Collecting numpy~=1.19.2
  Using cached numpy-1.19.4-cp38-cp38-manylinux2010_x86_64.whl (14.5 MB)
Collecting opt-einsum~=3.3.0
  Using cached opt_einsum-3.3.0-py3-none-any.whl (65 kB)
Collecting protobuf>=3.9.2
  Using cached protobuf-3.14.0-cp38-cp38-manylinux1_x86_64.whl (1.0 MB)
Collecting six~=1.15.0
  Using cached six-1.15.0-py2.py3-none-any.whl (10 kB)
Collecting tensorboard~=2.4
  Using cached tensorboard-2.4.0-py3-none-any.whl (10.6 MB)
Requirement already satisfied: setuptools>=41.0.0 in ./test/lib/python3.8/site-packages (from tensorboard~=2.4->tensorflow) (44.0.0)
Collecting google-auth<2,>=1.6.3
  Using cached google_auth-1.24.0-py2.py3-none-any.whl (114 kB)
Collecting cachetools<5.0,>=2.0.0
  Using cached cachetools-4.2.0-py3-none-any.whl (12 kB)
Collecting google-auth-oauthlib<0.5,>=0.4.1
  Using cached google_auth_oauthlib-0.4.2-py2.py3-none-any.whl (18 kB)
Collecting markdown>=2.6.8
  Using cached Markdown-3.3.3-py3-none-any.whl (96 kB)
Collecting pyasn1-modules>=0.2.1
  Using cached pyasn1_modules-0.2.8-py2.py3-none-any.whl (155 kB)
Collecting pyasn1<0.5.0,>=0.4.6
  Using cached pyasn1-0.4.8-py2.py3-none-any.whl (77 kB)
Collecting requests<3,>=2.21.0
  Using cached requests-2.25.0-py2.py3-none-any.whl (61 kB)
Collecting certifi>=2017.4.17
  Using cached certifi-2020.12.5-py2.py3-none-any.whl (147 kB)
Collecting chardet<4,>=3.0.2
  Using cached chardet-3.0.4-py2.py3-none-any.whl (133 kB)
Collecting idna<3,>=2.5
  Using cached idna-2.10-py2.py3-none-any.whl (58 kB)
Collecting requests-oauthlib>=0.7.0
  Using cached requests_oauthlib-1.3.0-py2.py3-none-any.whl (23 kB)
Collecting oauthlib>=3.0.0
  Using cached oauthlib-3.1.0-py2.py3-none-any.whl (147 kB)
Collecting rsa<5,>=3.1.4
  Using cached rsa-4.6-py3-none-any.whl (47 kB)
Collecting tensorboard-plugin-wit>=1.6.0
  Using cached tensorboard_plugin_wit-1.7.0-py3-none-any.whl (779 kB)
Collecting tensorflow-estimator<2.5.0,>=2.4.0rc0
  Using cached tensorflow_estimator-2.4.0-py2.py3-none-any.whl (462 kB)
Collecting termcolor~=1.1.0
  Using cached termcolor-1.1.0.tar.gz (3.9 kB)
Collecting typing-extensions~=3.7.4
  Using cached typing_extensions-3.7.4.3-py3-none-any.whl (22 kB)
Collecting urllib3<1.27,>=1.21.1
  Using cached urllib3-1.26.2-py2.py3-none-any.whl (136 kB)
Collecting werkzeug>=0.11.15
  Using cached Werkzeug-1.0.1-py2.py3-none-any.whl (298 kB)
Collecting wheel~=0.35
  Using cached wheel-0.36.2-py2.py3-none-any.whl (35 kB)
Collecting wrapt~=1.12.1
  Using cached wrapt-1.12.1.tar.gz (27 kB)
Using legacy 'setup.py install' for termcolor, since package 'wheel' is not installed.
Using legacy 'setup.py install' for wrapt, since package 'wheel' is not installed.
Installing collected packages: urllib3, pyasn1, idna, chardet, certifi, six, rsa, requests, pyasn1-modules, oauthlib, cachetools, requests-oauthlib, google-auth, wheel, werkzeug, tensorboard-plugin-wit, protobuf, numpy, markdown, grpcio, google-auth-oauthlib, absl-py, wrapt, typing-extensions, termcolor, tensorflow-estimator, tensorboard, opt-einsum, keras-preprocessing, h5py, google-pasta, gast, flatbuffers, astunparse, tensorflow
    Running setup.py install for wrapt ... done
    Running setup.py install for termcolor ... done
Successfully installed absl-py-0.11.0 astunparse-1.6.3 cachetools-4.2.0 certifi-2020.12.5 chardet-3.0.4 flatbuffers-1.12 gast-0.3.3 google-auth-1.24.0 google-auth-oauthlib-0.4.2 google-pasta-0.2.0 grpcio-1.32.0 h5py-2.10.0 idna-2.10 keras-preprocessing-1.1.2 markdown-3.3.3 numpy-1.19.4 oauthlib-3.1.0 opt-einsum-3.3.0 protobuf-3.14.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 requests-2.25.0 requests-oauthlib-1.3.0 rsa-4.6 six-1.15.0 tensorboard-2.4.0 tensorboard-plugin-wit-1.7.0 tensorflow-2.4.0 tensorflow-estimator-2.4.0 termcolor-1.1.0 typing-extensions-3.7.4.3 urllib3-1.26.2 werkzeug-1.0.1 wheel-0.36.2 wrapt-1.12.1
$ python --version
Python 3.8.6
$ python
Python 3.8.6 (default, Sep 25 2020, 09:36:53) 
[GCC 10.2.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import tensorflow
Illegal instruction (core dumped)

Other info / logs

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

cserpell · 2020-12-16T14:46:22Z

tf_env.txt

cserpell · 2020-12-16T23:04:48Z

Here I attach the output of running an interactive python shell with python -W all -d -v -X dev just to import tensorflow.
py_output.txt

amahendrakar · 2020-12-17T12:59:18Z

@cserpell,
Could you please create a new virtual environment and check if you are facing the same issue in that as well? Thanks!

cserpell · 2020-12-17T13:04:38Z

Sure, I already did it in a new virtualenv, but here it goes again in a brand new one.

new_output.txt

necromuralist · 2020-12-18T03:36:12Z

I am having the same problem (also on Ubuntu 20.10, also installed through pip). Whenever I import tensorflow and python crashes and I look in journalctl I see something like this:

Dec 17 19:30:06 erebus kernel: traps: python[193520] trap invalid opcode ip:7fd16f267c48 sp:7ffd11713f50 error:0 in libtensorflow_framework.so.2[7fd16e4e0000+1c55000]

wingman-jr-addon · 2020-12-18T03:57:36Z

I also see the same issue on an older server after upgrading to 2.4.0. Crashes consistently at same place while importing tensorflow according to dmesg.

 8996.519179] traps: python3[2587] trap invalid opcode ip:7f19106a8c48 sp:7ffc8d486220 error:0 in libtensorflow_framework.so.2[7f190f921000+1c55000]

Here's one of the cores from /proc/cpuinfo, should have AVX:

processor       : 0                                                                                                                                                                             
vendor_id       : GenuineIntel                                                                                                                                                                  
cpu family      : 6                                                                                                                                                                             
model           : 45                                                                                                                                                                            
model name      : Intel(R) Xeon(R) CPU E5-2670 0 @ 2.60GHz                                                                                                                                      
stepping        : 7                                                                                                                                                                             
microcode       : 0x71a                                                                                                                                                                         
cpu MHz         : 1199.954                                                                                                                                                                      
cache size      : 20480 KB                                                                                                                                                                      
physical id     : 0                                                                                                                                                                             
siblings        : 16                                                                                                                                                                            
core id         : 0                                                                                                                                                                             
cpu cores       : 8                                                                                                                                                                             
apicid          : 0                                                                                                                                                                             
initial apicid  : 0                                                                                                                                                                             
fpu             : yes                                                                                                                                                                           
fpu_exception   : yes                                                                                                                                                                           
cpuid level     : 13                                                                                                                                                                            
wp              : yes                                                                                                                                                                           
flags           : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc arch_perfmon
 pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf pni pclmulqdq dtes64 monitor ds_cpl vmx smx est tm2 ssse3 cx16 xtpr pdcm pcid dca sse4_1 sse4_2 x2apic popcnt tsc_deadline_timer 
aes xsave avx lahf_lm epb pti ssbd ibrs ibpb stibp tpr_shadow vnmi flexpriority ept vpid xsaveopt dtherm ida arat pln pts md_clear flush_l1d                                                    
bugs            : cpu_meltdown spectre_v1 spectre_v2 spec_store_bypass l1tf mds swapgs itlb_multihit                                                                                            
bogomips        : 5199.91                                                                                                                                                                       
clflush size    : 64                                                                                                                                                                            
cache_alignment : 64                                                                                                                                                                            
address sizes   : 46 bits physical, 48 bits virtual                                                                                                                                             
power management:

This is running Ubuntu 18.04.4 LTS.

cserpell · 2020-12-18T11:18:37Z

@necromuralist did you check AVX support on your CPU? Otherwise, please check #19584

cserpell · 2020-12-18T12:41:34Z

Same error for me in dmesg:

traps: python[434569] trap invalid opcode ip:7fb785029c48 sp:7ffd15a859a0 error:0 in libtensorflow_framework.so.2[7fb7842a2000+1c55000]

alex-orange · 2020-12-18T19:17:19Z

Just to pile on, same problem here, 2.4.0 doesn't work, 2.3.0 and earlier do. CPU supports AVX:

vendor_id	: GenuineIntel
cpu family	: 6
model		: 45
model name	: Intel(R) Xeon(R) CPU E5-2660 0 @ 2.20GHz
stepping	: 7
microcode	: 0x718
cpu MHz		: 1197.138
cache size	: 20480 KB
physical id	: 1
siblings	: 16
core id		: 7
cpu cores	: 8
apicid		: 47
initial apicid	: 47
fpu		: yes
fpu_exception	: yes
cpuid level	: 13
wp		: yes
flags		: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf pni pclmulqdq dtes64 monitor ds_cpl vmx smx est tm2 ssse3 cx16 xtpr pdcm pcid dca sse4_1 sse4_2 x2apic popcnt tsc_deadline_timer aes xsave avx lahf_lm epb pti ssbd ibrs ibpb stibp tpr_shadow vnmi flexpriority ept vpid xsaveopt dtherm ida arat pln pts md_clear flush_l1d
bugs		: cpu_meltdown spectre_v1 spectre_v2 spec_store_bypass l1tf mds swapgs itlb_multihit
bogomips	: 4395.39
clflush size	: 64
cache_alignment	: 64
address sizes	: 46 bits physical, 48 bits virtual
power management:

alex-orange · 2020-12-18T19:29:02Z

Couple of things to add though:

For me it's a problem with a debian buster/sid container, not Ubuntu (I assume this is not distro related)
I don't see how this is in any way a build/install issue. We aren't building it and it installs fine. It isn't until use time (import) that things fail.

necromuralist · 2020-12-19T04:31:44Z

@cserpell

If I do sudo lscpu | grep avx I get:
fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm constant_tsc rep_good nopl nonst op_tsc cpuid extd_apicid aperfmperf pni pclmulqdq monitor ssse3 fma cx16 sse4_1 sse4_2 popcnt aes xsave **avx** f16c lahf_lm cmp_legacy svm extapic cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw ibs xop skinit wdt fma4 tce nodeid_msr tbm topoext perfctr_core perfctr_nb cpb hw_pstate ssbd ibpb vmmcall bmi1 arat npt lbrv svm_lock nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold

(asterixes added) I get avx entries when I grep /proc/cpuinfo as well, which I assumed meant that I have AVX support.

moorugi98 · 2020-12-19T15:50:49Z

I think I also have the same problem as @alex-orange. 2.4 results in illegal instruction error, whereas 2.3 works. Well, the GPU doesn't work since my CUDA version is incompatible with 2.3 but at least tensorflow works.

flags : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx rdtscp lm constant_tsc arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf pni pclmulqdq dtes64 monitor ds_cpl vmx est tm2 ssse3 cx16 xtpr pdcm pcid sse4_1 sse4_2 x2apic popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm cpuid_fault epb pti ssbd ibrs ibpb stibp tpr_shadow vnmi flexpriority ept vpid fsgsbase smep erms xsaveopt dtherm ida arat pln pts md_clear flush_l1d

necromuralist · 2020-12-20T03:12:53Z

I just tried the nightly build of tensorflow and it doesn't crash. I used the nvidia-container to get the Nvidia toolkit instead of using Ubuntu's packange and tried to install the latest release of tensorflow via both pip and the tensorflow-container and both still crashed the python interpreter, but when I did pip install tf-nightly it didn't crash the interpreter, but it also couldn't find the Nvidia libraries since they're in the container, but I just ran

docker run --gpus all -it tensorflow/tensorflow:nightly-gpu bash

And imported tensorflow into a python intepreter with no errors. Unfortunately in experimenting to get to that state I crashed my server and had to re-install Ubuntu so I don't have anything on it to test whether tensorflow actually runs, but it seems promising.

alex-orange · 2020-12-20T16:28:34Z

@necromuralist Sadly I don't think that's progress. #44668 seems to suggest this problem was introduced when nightly was split off to make the release candidate (or whatever the exact process is). Also worth mentioning #45872 and #45866 seem to be the exact same bug.

Adding more info: #45866 seems to suggest that this might be a problem with processors supporting AVX but not AVX2. Is it possible that this requirement got bumped (perhaps by accident)?

alex-orange · 2020-12-21T18:46:56Z

I've just tried building from source with:

bazel build --config=avx_linux //tensorflow/tools/pip_package:build_pip_package

and the resulting binary works fine. Is it possible someone is building the packages with --config=opt or --config=avx2_linux by accident?

moorugi98 · 2020-12-22T23:34:04Z

@alex-orange Is it somehow possible that you share your custom-built package or does everyone need to build for themselves at the moment?

alex-orange · 2020-12-23T17:22:07Z

@moorugi98 Sure, here's my setup: https://gitlab.flux.utah.edu/alex_orange/tensorflow-2.4.0-build . That includes the Dockerfile I use for my build environment and the command history for building and testing. Not exactly perfect but you should be able to figure out how to make your own build (and the maintainers can hopefully use this to get an idea of what's different from the official build).

alex-orange · 2020-12-24T00:21:27Z

Didn't say it very well, but that repo also includes the binary.

mihaimaruseac · 2021-01-06T00:20:45Z

We found the culprit, working on a fix and then we will do a patch release on r2.4. Not certain on the timeline, but probably will be at least a few weeks as we're gathering other regressions on the 2.4 release.

Should resolve issue reported in #45744, #45866, #44701 and #45991 as well as multiple other issues from other ecosystem places. We will patch 2.4 soon and release proper patches. PiperOrigin-RevId: 350243794 Change-Id: I0aa814dedb44ac3ec992a0a432f117122337023f

mihaimaruseac · 2021-01-21T18:00:10Z

We should have the patched 2.4.1 release done by the end of the week

mihaimaruseac · 2021-01-21T20:10:26Z

And it has been released. Please test it to see that the issue has been fixed

cserpell · 2021-01-21T23:33:40Z

It is working now. Many thanks for your hard work, I really appreciate it.

google-ml-butler · 2021-01-21T23:33:42Z

Are you satisfied with the resolution of your issue?
Yes
No

julesstolk · 2021-01-24T00:01:07Z

And it has been released. Please test it to see that the issue has been fixed

I'm using Tensorflow 2.4.1, Python 3.6 and I'm still getting
Illegal instruction (core dumpted)
when I run
import tensorflow
I'm using a Anaconda venv
*edit:
Same goes when I'm using Tensorflow 2.3.1

mihaimaruseac · 2021-01-24T00:33:33Z

@InnocentCow does your CPU support AVX? This issue is for AVX2.

byronyi · 2021-01-24T02:09:55Z

And it has been released. Please test it to see that the issue has been fixed

I'm using Tensorflow 2.4.1, Python 3.6 and I'm still getting
Illegal instruction (core dumpted)
when I run
import tensorflow
I'm using a Anaconda venv
*edit:
Same goes when I'm using Tensorflow 2.3.1

Try import tensorflow as tf; print(tf.version.VERSION)

julesstolk · 2021-01-24T10:50:36Z

And it has been released. Please test it to see that the issue has been fixed

I'm using Tensorflow 2.4.1, Python 3.6 and I'm still getting
Illegal instruction (core dumpted)
when I run
import tensorflow
I'm using a Anaconda venv
*edit:
Same goes when I'm using Tensorflow 2.3.1

Try import tensorflow as tf; print(tf.version.VERSION)

Tried this, still same error

julesstolk · 2021-01-24T10:51:48Z

@InnocentCow does your CPU support AVX? This issue is for AVX2.

I have an Intel Celeron N3550, and from what I've found it does support AVX

julesstolk · 2021-01-24T11:27:46Z

Nevermind, I get
Illegal instruction (core dumped)
as well when I only
import keras
So I guess TensorFlow is not the problem here

Seems like my CPU doesn't support AVX after all, I'll downgrade to TensorFlow 1.5

TensorFlow 1.5 and keras 2.1.4 did the trick for me, sorry for bothering you guys

byronyi · 2021-01-24T16:42:07Z

Never mind, happy hacking!

Since previous issues relating to tensorflow/tensorflow#45744 should now be fixed, this should be OK. modified: requirements.txt

bykvaadm · 2021-02-03T11:38:42Z

have same issue, installed 2.4.1 version, but it didn't help.
Compiled 2.4.1 version from sources and it did the trick.

ngsteven97 · 2021-03-07T20:52:29Z

have same issue, installed 2.4.1 version, but it didn't help.
Compiled 2.4.1 version from sources and it did the trick.

I'm trying to install 2.4.1 onto my Jetson Nano, and I'm having the illegal instructions error, can you help me with compiling it from sources? I am a complete noob when it comes to Linux and python and stuff!

bykvaadm · 2021-03-10T08:53:02Z

I'm trying to install 2.4.1 onto my Jetson Nano, and I'm having the illegal instructions error, can you help me with compiling it from sources? I am a complete noob when it comes to Linux and python and stuff!

https://www.tensorflow.org/install/source

update tensorflow version to 2.4.1. in some env, 2.4.0 will cause `illegal instruction (core dumped)`: tensorflow/tensorflow#45744

mihaimaruseac · 2021-03-11T20:57:57Z

CPUs with no AVX support are no longer supported by the default package. You have to compile from source or use a cloud version of TF (via Google Colab for example).

cserpell added the type:bug label Dec 16, 2020

google-ml-butler bot assigned Saduf2019 Dec 16, 2020

amahendrakar assigned amahendrakar and unassigned Saduf2019 Dec 17, 2020

amahendrakar added subtype: ubuntu/linux TF 2.4 type:build/install and removed type:bug labels Dec 17, 2020

amahendrakar added the stat:awaiting response label Dec 17, 2020

amahendrakar removed the stat:awaiting response label Dec 23, 2020

amahendrakar assigned ymodak and unassigned amahendrakar Dec 23, 2020

geetachavan1 mentioned this issue Jan 6, 2021

No longer compile with -march=native. #46229

Merged

ymodak added the stat:awaiting tensorflower label Jan 6, 2021

mihaimaruseac mentioned this issue Jan 11, 2021

Illegal instruction (core dumped) using tensorflow==2.4.0 with AVX instruction when importing #46108

Closed

morganekmefjord mentioned this issue Jan 12, 2021

Suggest setting Tensorflow to latest supported release. scaleoutsystems/fedn#118

Merged

15 tasks

tallamjr mentioned this issue Jan 18, 2021

AttributeError: module 'tensorflow._api.v2.experimental' has no attribute 'numpy' tallamjr/astronet#56

Closed

keithm-xmos mentioned this issue Jan 19, 2021

Upgrading to TensorFlow 2.4 xmos/ai_tools#374

Merged

imabot2 mentioned this issue Jan 21, 2021

Illegal instruction (core dumped) while importing TensorFlow #46576

Closed

cserpell closed this as completed Jan 21, 2021

mihaimaruseac mentioned this issue Jan 22, 2021

TensorFlow 2.4.0 core dumped issue on Ubuntu 16.04 #46516

Closed

tallamjr added a commit to tallamjr/astronet that referenced this issue Jan 26, 2021

Prefer to bump tensorflow to 2.4.1 instead

939063d

Since previous issues relating to tensorflow/tensorflow#45744 should now be fixed, this should be OK. modified: requirements.txt

guotie mentioned this issue Mar 11, 2021

Update requirements.txt bytedance/fedlearner#660

Closed

tensorflow locked as resolved and limited conversation to collaborators Mar 11, 2021

Provide feedback

Saved searches

Use saved searches to filter your results more quickly

Illegal instruction (core dumped) in a CPU with AVX support #45744

Illegal instruction (core dumped) in a CPU with AVX support #45744

cserpell commented Dec 16, 2020 •

edited

Loading

cserpell commented Dec 16, 2020

cserpell commented Dec 16, 2020

amahendrakar commented Dec 17, 2020

cserpell commented Dec 17, 2020

necromuralist commented Dec 18, 2020

wingman-jr-addon commented Dec 18, 2020

cserpell commented Dec 18, 2020

cserpell commented Dec 18, 2020

alex-orange commented Dec 18, 2020

alex-orange commented Dec 18, 2020 •

edited

Loading

necromuralist commented Dec 19, 2020

moorugi98 commented Dec 19, 2020

necromuralist commented Dec 20, 2020 •

edited

Loading

alex-orange commented Dec 20, 2020

alex-orange commented Dec 21, 2020

moorugi98 commented Dec 22, 2020

alex-orange commented Dec 23, 2020

alex-orange commented Dec 24, 2020

mihaimaruseac commented Jan 6, 2021

mihaimaruseac commented Jan 21, 2021

mihaimaruseac commented Jan 21, 2021

cserpell commented Jan 21, 2021

google-ml-butler bot commented Jan 21, 2021

julesstolk commented Jan 24, 2021 •

edited

Loading

mihaimaruseac commented Jan 24, 2021

byronyi commented Jan 24, 2021

julesstolk commented Jan 24, 2021

julesstolk commented Jan 24, 2021

julesstolk commented Jan 24, 2021 •

edited

Loading

byronyi commented Jan 24, 2021

bykvaadm commented Feb 3, 2021

ngsteven97 commented Mar 7, 2021

bykvaadm commented Mar 10, 2021

mihaimaruseac commented Mar 11, 2021

Illegal instruction (core dumped) in a CPU with AVX support #45744

Illegal instruction (core dumped) in a CPU with AVX support #45744

Comments

cserpell commented Dec 16, 2020 • edited Loading

cserpell commented Dec 16, 2020

cserpell commented Dec 16, 2020

amahendrakar commented Dec 17, 2020

cserpell commented Dec 17, 2020

necromuralist commented Dec 18, 2020

wingman-jr-addon commented Dec 18, 2020

cserpell commented Dec 18, 2020

cserpell commented Dec 18, 2020

alex-orange commented Dec 18, 2020

alex-orange commented Dec 18, 2020 • edited Loading

necromuralist commented Dec 19, 2020

moorugi98 commented Dec 19, 2020

necromuralist commented Dec 20, 2020 • edited Loading

alex-orange commented Dec 20, 2020

alex-orange commented Dec 21, 2020

moorugi98 commented Dec 22, 2020

alex-orange commented Dec 23, 2020

alex-orange commented Dec 24, 2020

mihaimaruseac commented Jan 6, 2021

mihaimaruseac commented Jan 21, 2021

mihaimaruseac commented Jan 21, 2021

cserpell commented Jan 21, 2021

google-ml-butler bot commented Jan 21, 2021

julesstolk commented Jan 24, 2021 • edited Loading

mihaimaruseac commented Jan 24, 2021

byronyi commented Jan 24, 2021

julesstolk commented Jan 24, 2021

julesstolk commented Jan 24, 2021

julesstolk commented Jan 24, 2021 • edited Loading

byronyi commented Jan 24, 2021

bykvaadm commented Feb 3, 2021

ngsteven97 commented Mar 7, 2021

bykvaadm commented Mar 10, 2021

mihaimaruseac commented Mar 11, 2021

cserpell commented Dec 16, 2020 •

edited

Loading

alex-orange commented Dec 18, 2020 •

edited

Loading

necromuralist commented Dec 20, 2020 •

edited

Loading

julesstolk commented Jan 24, 2021 •

edited

Loading

julesstolk commented Jan 24, 2021 •

edited

Loading