Comments (17)
If you run ctest . --build-config release -R ell-python-interface-test -VV
you will get more details on why it fails. It could fail if you have not setup your python environment correctly, or you have some missing python packages -- see the "requirements.txt" file for a full list.
from ell.
Hi guys, I'm also trying to tun python tests for ELL on windows + Python 3.8. Same error.
C:\Sources\ELL\build>ctest . --build-config release -R ell-python-interface-test -VV
UpdateCTestConfiguration from :C:/Sources/ELL/build/DartConfiguration.tcl
UpdateCTestConfiguration from :C:/Sources/ELL/build/DartConfiguration.tcl
Test project C:/Sources/ELL/build
Constructing a list of tests
Done constructing a list of tests
Updating test list for fixtures
Added 0 tests to meet fixture requirements
Checking test dependency graph...
Checking test dependency graph end
test 44
Start 44: ell-python-interface-test
44: Test command: C:\Users\Anatolii\AppData\Local\Programs\Python\Python38\python.exe "test.py"
44: Test timeout computed to be: 10000000
44: Traceback (most recent call last):
44: File "test.py", line 45, in <module>
44: raise err
44: File "test.py", line 10, in <module>
44: import ell
44: File "C:\Sources\ELL\build\interfaces\python\package\ell\__init__.py", line 47, in <module>
44: from . import data
44: File "C:\Sources\ELL\build\interfaces\python\package\ell\data\__init__.py", line 9, in <module>
44: from ..ell_py import AutoDataVector, \
44: File "C:\Sources\ELL\build\interfaces\python\package\ell\ell_py.py", line 11, in <module>
44: import _ell_py
44: ImportError: DLL load failed while importing _ell_py: The specified module could not be found.
1/1 Test #44: ell-python-interface-test ........***Failed 0.08 sec
0% tests passed, 1 tests failed out of 1
Total Test time (real) = 0.20 sec
The following tests FAILED:
44 - ell-python-interface-test (Failed)
Errors while running CTest
The content of ell package looks like:
Directory of C:\Sources\ELL\interfaces\python\package\ell
12/02/2020 09:26 PM <DIR> .
12/02/2020 09:26 PM <DIR> ..
12/02/2020 09:26 PM 713 CMakeLists.txt
12/02/2020 09:26 PM <DIR> data
12/02/2020 09:26 PM <DIR> math
12/02/2020 09:26 PM <DIR> model
12/02/2020 09:26 PM <DIR> neural
12/02/2020 09:26 PM <DIR> nodes
12/02/2020 09:26 PM 293 platform.py
12/02/2020 09:26 PM 7,391 rpi_magic.py
12/02/2020 09:26 PM <DIR> trainers
12/02/2020 09:26 PM <DIR> util
12/02/2020 09:26 PM <DIR> vision
12/02/2020 09:26 PM 2,071 __init__.py
And installed packages:
C:\Sources\ELL\interfaces\python\package\ell>python -m pip freeze
appdirs==1.4.4
audioread==2.1.9
bcrypt==3.2.0
certifi==2020.11.8
cffi==1.14.4
chardet==3.0.4
configparser==5.0.1
cryptography==3.2.1
dask==2.30.0
decorator==4.4.2
enum34==1.1.10
flake8==3.8.4
future==0.18.2
idna==2.10
iso8601==0.1.13
joblib==0.17.0
kflash==0.8.5
librosa==0.8.0
llvmlite==0.35.0
mccabe==0.6.1
numba==0.52.0
numpy==1.19.3
onnx==1.8.0
opencv-python==4.4.0.46
packaging==20.7
paramiko==2.7.2
parse==1.18.0
pooch==1.3.0
protobuf==3.14.0
psutil==5.7.3
pycodestyle==2.6.0
pycparser==2.20
pyelftools==0.27
pyflakes==2.2.0
PyNaCl==1.4.0
pyparsing==2.4.7
pyserial==3.5
python-dateutil==2.8.1
python-speech-features==0.6
PyYAML==5.3.1
requests==2.25.0
resampy==0.2.2
scikit-learn==0.23.2
scipy==1.5.4
serial==0.0.97
six==1.15.0
SoundFile==0.10.3.post1
threadpoolctl==2.1.0
typing-extensions==3.7.4.3
urllib3==1.26.2
from ell.
Thanks, so the compiled ELL module named "_ell_py" is not loading. This can happen if this path is not in your PATH environment:
C:\Sources\ELL\external\OpenBLASLibs.0.2.19.3\build\native\x64\haswell\bin
It could require this path or the sandybridge path depending on your CPU type. The actual path needed is output when you run "cmake" to build ELL.
from ell.
Thanks, @lovettchris. I've checked and verified my path set up:
C:\Program Files (x86)\Microsoft Visual Studio\2019\Community>where libopenblas.dll
C:\Sources\ELL\external\OpenBLASLibs.0.2.19.3\build\native\x64\sandybridge\bin\libopenblas.dll
also
Directory of C:\Sources\ELL\build\interfaces\python\Release
12/05/2020 02:50 PM <DIR> .
12/05/2020 02:50 PM <DIR> ..
12/05/2020 02:50 PM 750 _ell_py.exp
12/05/2020 02:50 PM 1,732 _ell_py.lib
12/05/2020 02:50 PM 34,397,184 _ell_py.pyd
However, during these tests - I didn't use Miniconda and Python 3.6. Just 3.8.5. Is it essential to run under 3.6?
from ell.
Thanks, so the compiled ELL module named "_ell_py" is not loading. This can happen if this path is not in your PATH environment:
C:\Sources\ELL\external\OpenBLASLibs.0.2.19.3\build\native\x64\haswell\bin
It could require this path or the sandybridge path depending on your CPU type. The actual path needed is output when you run "cmake" to build ELL.
You mean this command, right?
cmake --build . --config Release
not this one?
cmake --build . --target _ELL_python --config Release
I don't have a folder "C:\Sources"; should I have made this directory and cloned there? I didn't see anything to this effect in the ReadMe. I'm not seeing any path mentioning OpenBLASLibs when building ELL or ELL_python.
The haswell and sandy bridge seem to be rather old CPU's. Mine is an Intel i7-8650U, which seems to be Kaby Lake; does this mean it isn't supported by ELL?
from ell.
A-KL, yes please try python 3.6, I just tried python 3.8 and it didn't work... so we might have a bug there to investigate.
n-gineer, when you run cmake it prints out something like -- Using BLAS include library ...
take that path replace the lib at the end with "bin" and add that to your PATH environment, so that ELL can find the openblas.dll that lives there.
If you are using AMD chip, it will not use openblas since we have not shipped a version of openblas that works on AMD chips. In that case you would have to build openblas yourself if you want that. You can use ELL without openblas of course.
It also prints out a bunch of -- PYTHON_*
information showing you what version of python it found, this is the version of python that _ELL_Python will target.
You can also download this [Dependency Walker tool][https://dependencywalker.com/) and check the _ell_py.pyd to see what it thinks is missing. I had the best luck running "depends.exe" then using file open to load the _ell_py.pyd. PS: the depends.exe UI is very slow on this binary for some reason, so just be patient. I find if I use View/collapseAll then the UI works better. You can safely ignore all the missing modules that start with the name API-MS-WIN-CORE... You'll be looking for missing dependencies in the main view, mine is ok, and looks like this. Note, I'm using AMD so you can see there is no openblas listed. But if you see a warning or error icon in this view then that's your missing dependency.
from ell.
n-gineer, also check this file in the ELL repo: "cmake\OpenBLASSetup.cmake" as you may need to edit that file to add the processor_model of your new chip like we did with model numbers 60, 63, 69, 70, 79, 78, 142, 158 binding them all toe the haswell version of openblas with "set(processor_generation "haswell")".
You can get your CPU family and model number by running this:
reg query HKLM\Hardware\Description\System\CentralProcessor\0 /v Identifier
from ell.
A-KL - my python 3.8 problem was this issue on the latest version of numpy. The solution is:
pip uninstall numpy
pip install numpy==1.19.3
Now my build of ELL is working fine on python 3.8.6.
from ell.
@lovettchris thanks for the tips!
A-KL, yes please try python 3.6, I just tried python 3.8 and it didn't work... so we might have a bug there to investigate.
n-gineer, when you run cmake it prints out something like
-- Using BLAS include library ...
take that path replace the lib at the end with "bin" and add that to your PATH environment, so that ELL can find the openblas.dll that lives there.If you are using AMD chip, it will not use openblas since we have not shipped a version of openblas that works on AMD chips. In that case you would have to build openblas yourself if you want that. You can use ELL without openblas of course.
It also prints out a bunch of
-- PYTHON_*
information showing you what version of python it found, this is the version of python that _ELL_Python will target.You can also download this [Dependency Walker tool][https://dependencywalker.com/) and check the _ell_py.pyd to see what it thinks is missing. I had the best luck running "depends.exe" then using file open to load the _ell_py.pyd. PS: the depends.exe UI is very slow on this binary for some reason, so just be patient. I find if I use View/collapseAll then the UI works better. You can safely ignore all the missing modules that start with the name API-MS-WIN-CORE... You'll be looking for missing dependencies in the main view, mine is ok, and looks like this. Note, I'm using AMD so you can see there is no openblas listed. But if you see a warning or error icon in this view then that's your missing dependency.
It seems since I already built, it doesn't output the lines I'm looking for. Should I delete the build folder contents and rebuild?
I did found this file in the ELL build directory: ell_build_tools.json, within which it gave:
"blas": "C:/.../Autocharger/Computer Vision/ELL/external/OpenBLASLibs.0.2.19.3/build/native/x64/haswell/lib/libopenblas.dll.a"
I had already added the haswell/bin version of this to my Path and verified it is being seen by Powershell with an echo $ENV:PATH
Here is the entirety of the output from the build command (apologies that I can't get code tag to capture properly):
`$: build> cmake --build . --config Release
Microsoft (R) Build Engine version 16.8.2+25e4d540b for .NET Framework
Copyright (C) Microsoft Corporation. All rights reserved.
utilities.vcxproj -> C:...\Autocharger\Computer Vision\ELL\build\libraries\utilities\Release\utilities.lib
math.vcxproj -> C:...\Autocharger\Computer Vision\ELL\build\libraries\math\Release\math.lib
data.vcxproj -> C:...\Autocharger\Computer Vision\ELL\build\libraries\data\Release\data.lib
dsp.vcxproj -> C:...\Autocharger\Computer Vision\ELL\build\libraries\dsp\Release\dsp.lib
emitters.vcxproj -> C:...\Autocharger\Computer Vision\ELL\build\libraries\emitters\Release\emitters.lib
value.vcxproj -> C:...\Autocharger\Computer Vision\ELL\build\libraries\value\Release\value.lib
emittable_functions.vcxproj -> C:...\Autocharger\Computer Vision\ELL\build\libraries\emittable_functions\Release\emittable_functions.lib
evaluators.vcxproj -> C:...\Autocharger\Computer Vision\ELL\build\libraries\evaluators\Release\evaluators.lib
functions.vcxproj -> C:...\Autocharger\Computer Vision\ELL\build\libraries\functions\Release\functions.lib
model.vcxproj -> C:...\Autocharger\Computer Vision\ELL\build\libraries\model\Release\model.lib
predictors.vcxproj -> C:...\Autocharger\Computer Vision\ELL\build\libraries\predictors\Release\predictors.lib
nodes.vcxproj -> C:...\Autocharger\Computer Vision\ELL\build\libraries\nodes\Release\nodes.lib
trainers.vcxproj -> C:...\Autocharger\Computer Vision\ELL\build\libraries\trainers\Release\trainers.lib
common.vcxproj -> C:...\Autocharger\Computer Vision\ELL\build\libraries\common\Release\common.lib
makeExamples.vcxproj -> C:...\Autocharger\Computer Vision\ELL\build\bin\Release\makeExamples.exe
Generating example models
optimization.vcxproj -> C:...\Autocharger\Computer Vision\ELL\build\libraries\optimization\Release\optimization.lib
passes.vcxproj -> C:...\Autocharger\Computer Vision\ELL\build\libraries\passes\Release\passes.lib
_ELL_python.vcxproj -> C:...\Autocharger\Computer Vision\ELL\build\interfaces\python\Release_ell_py.pyd
compile.vcxproj -> C:...\Autocharger\Computer Vision\ELL\build\bin\Release\compile.exe
pythonPlugins.vcxproj -> C:...\Autocharger\Computer Vision\ELL\build\tools\utilities\pythonPlugins\Release\pythonPlugins.lib
profile.vcxproj -> C:...\Autocharger\Computer Vision\ELL\build\bin\Release\profile.exe
apply.vcxproj -> C:...\Autocharger\Computer Vision\ELL\build\bin\Release\apply.exe
testing.vcxproj -> C:...\Autocharger\Computer Vision\ELL\build\libraries\testing\Release\testing.lib
common_test.vcxproj -> C:...\Autocharger\Computer Vision\ELL\build\libraries\common\Release\common_test.exe
data_test.vcxproj -> C:...\Autocharger\Computer Vision\ELL\build\libraries\data\Release\data_test.exe
debugCompiler.vcxproj -> C:...\Autocharger\Computer Vision\ELL\build\bin\Release\debugCompiler.exe
model_testing.vcxproj -> C:...\Autocharger\Computer Vision\ELL\build\libraries\model_testing\Release\model_testing.lib
dsp_nodes_test.vcxproj -> C:...\Autocharger\Computer Vision\ELL\build\libraries\nodes\Release\dsp_nodes_test.exe
dsp_test.vcxproj -> C:...\Autocharger\Computer Vision\ELL\build\libraries\dsp\Release\dsp_test.exe
dsp_timing.vcxproj -> C:...\Autocharger\Computer Vision\ELL\build\libraries\dsp\Release\dsp_timing.exe
emittable_functions_test.vcxproj -> C:...\Autocharger\Computer Vision\ELL\build\libraries\emittable_functions\Release\emittable_functions_test.exe
emitters_test.vcxproj -> C:...\Autocharger\Computer Vision\ELL\build\libraries\emitters\Release\emitters_test.exe
evaluators_test.vcxproj -> C:...\Autocharger\Computer Vision\ELL\build\libraries\evaluators\Release\evaluators_test.exe
finetune.vcxproj -> C:...\Autocharger\Computer Vision\ELL\build\bin\Release\finetune.exe
finetune_test.vcxproj -> C:...\Autocharger\Computer Vision\ELL\build\bin\Release\finetune_test.exe
forestTrainer.vcxproj -> C:...\Autocharger\Computer Vision\ELL\build\bin\Release\forestTrainer.exe
functions_test.vcxproj -> C:...\Autocharger\Computer Vision\ELL\build\libraries\functions\Release\functions_test.exe
global_optimizer_test.vcxproj -> C:...\Autocharger\Computer Vision\ELL\build\libraries\model\Release\global_optimizer_test.exe
linearTrainer.vcxproj -> C:...\Autocharger\Computer Vision\ELL\build\bin\Release\linearTrainer.exe
makeProfileModels.vcxproj -> C:...\Autocharger\Computer Vision\ELL\build\bin\Release\makeProfileModels.exe
math_profile.vcxproj -> C:...\Autocharger\Computer Vision\ELL\build\libraries\math\Release\math_profile.exe
math_test.vcxproj -> C:...\Autocharger\Computer Vision\ELL\build\libraries\math\Release\math_test.exe
model_compiler_test.vcxproj -> C:...\Autocharger\Computer Vision\ELL\build\libraries\model\Release\model_compiler_test.exe
model_test.vcxproj -> C:...\Autocharger\Computer Vision\ELL\build\libraries\model\Release\model_test.exe
nn_nodes_test.vcxproj -> C:...\Autocharger\Computer Vision\ELL\build\libraries\nodes\Release\nn_nodes_test.exe
nodes_test.vcxproj -> C:...\Autocharger\Computer Vision\ELL\build\libraries\nodes\Release\nodes_test.exe
nodes_timing.vcxproj -> C:...\Autocharger\Computer Vision\ELL\build\libraries\nodes\Release\nodes_timing.exe
optimization_test.vcxproj -> C:...\Autocharger\Computer Vision\ELL\build\libraries\optimization\Release\optimization_test.exe
passes_test.vcxproj -> C:...\Autocharger\Computer Vision\ELL\build\libraries\passes\Release\passes_test.exe
predictors_test.vcxproj -> C:...\Autocharger\Computer Vision\ELL\build\libraries\predictors\Release\predictors_test.exe
print.vcxproj -> C:...\Autocharger\Computer Vision\ELL\build\bin\Release\print.exe
protoNNTrainer.vcxproj -> C:...\Autocharger\Computer Vision\ELL\build\bin\Release\protoNNTrainer.exe
retargetTrainer.vcxproj -> C:...\Autocharger\Computer Vision\ELL\build\bin\Release\retargetTrainer.exe
sweepingSGDTrainer.vcxproj -> C:...\Autocharger\Computer Vision\ELL\build\bin\Release\sweepingSGDTrainer.exe
trainers_test.vcxproj -> C:...\Autocharger\Computer Vision\ELL\build\libraries\trainers\Release\trainers_test.exe
utilities_test.vcxproj -> C:...\Autocharger\Computer Vision\ELL\build\libraries\utilities\Release\utilities_test.exe
value_test.vcxproj -> C:...\Autocharger\Computer Vision\ELL\build\libraries\value\Release\value_test.exe`
Here is what dependency walker shows:
There are a number of API-WIN-MS-CRT and some others hidden in the tree. The LIBOPENBLAS tree has no warnings or errors showing when I expanded fully.
reg query HKLM\Hardware\Description\System\CentralProcessor\0 /v Identifier
returns
Identifier REG_SZ Intel64 Family 6 Model 142 Stepping 10
which appears to be already supported in "cmake\OpenBLASSetup.cmake"
from ell.
Ok, great, so your openblas setup looks great, the cmake setup is recommending haswell version of openblas and depends.exe is finding it, so now it is a complete mystery why the compiled ELL model is not loading properly in your python 3.8 environment.
n-gineer, since you are not the one that opened this bug, can you remind me what is the exact issue you are facing? Is it still that the "ell-python-interface-test" unit test is failing for you, namely you cannot get your python environment to load _ell_py module? If so can you try this:
cd into your ELL\build\interfaces\python\package folder
python
import ELL
This is how you can test the ell package loads into your python environment independent of the rest of the unit test.
from ell.
@lovettchris
Hello, I have the same problem.
When I enter the cmd ctest . --build-config release -R ell-python-interface-test -VV
It is part of my error code
44: DoubleVector test ... Passed
44: FloatVector test ... Passed
44: vector_test passed
44: model_test failed
44: exception:
44: Loading file ../../../examples/models/model_1.model
44: common_test failed
44: trainers_test.test -- TBD
44: trainers_test passed
44: test_tensor ... Passed
44: test_predictor ... Passed
model_test and common_test are failed
So, I've check the requirements.txt
(py36) C:\Program Files\ELL\interfaces\python\package\ell>python -m pip freeze
appdirs==1.4.4
audioread==2.1.9
bcrypt==3.2.0
certifi==2020.12.5
cffi==1.14.4
chardet==4.0.0
cntk==2.7
cntk-gpu==2.7
configparser==5.0.1
cryptography==3.3.1
cycler==0.10.0
dask==2020.12.0
dataclasses==0.7
decorator==4.4.2
flake8==3.8.4
future==0.18.2
idna==2.10
importlib-metadata==3.3.0
iso8601==0.1.13
joblib==1.0.0
kiwisolver==1.3.1
librosa==0.8.0
llvmlite==0.35.0
matplotlib==3.3.3
mccabe==0.6.1
numba==0.52.0
numpy==1.19.3
olefile==0.46
onnx==1.8.0
opencv-python==4.4.0.46
packaging==20.8
paramiko==2.7.2
parse==1.18.0
Pillow @ file:///C:/ci/pillow_1603822370986/work
pooch==1.3.0
protobuf==3.4.1
psutil==5.8.0
PyAudio==0.2.11
pycodestyle==2.6.0
pycparser==2.20
pyflakes==2.2.0
PyNaCl==1.4.0
pyparsing==2.4.7
python-dateutil==2.8.1
python-speech-features==0.6
PyYAML==5.3.1
requests==2.25.1
resampy==0.2.2
scikit-learn==0.24.0
scipy==1.5.4
serial==0.0.97
six @ file:///home/conda/feedstock_root/build_artifacts/six_1590081179328/work
SoundFile==0.10.3.post1
threadpoolctl==2.1.0
torch==1.7.0
torchvision==0.8.1
typing-extensions @ file:///tmp/build/80754af9/typing_extensions_1598376058250/work
urllib3==1.26.2
wincertstore==0.2
zipp==3.4.0
I've checked all the package are installed
I have no idea about this problem. Can you suggest me the solution of this problem?
from ell.
MoonSunBeen, this looks like a different issue, can you open a new issue for it? Thanks.
from ell.
n-gineer, since you are not the one that opened this bug, can you remind me what is the exact issue you are facing? Is it still that the "ell-python-interface-test" unit test is failing for you, namely you cannot get your python environment to load _ell_py module? If so can you try this:
cd into your ELL\build\interfaces\python\package folder python import ELL
This is how you can test the ell package loads into your python environment independent of the rest of the unit test.
I'm having the same error as OP after attempting this step of the install instructions:
ctest . --build-config release -R ell-python-interface-test
And it is failing on the same test, "ell-python-interface-test".
I attempted to import ELL and it returned:
Traceback (most recent call last): File "<stdin>", line 1, in <module> ModuleNotFoundError: No module named 'ELL'
@lovettchris, thanks for the help!
from ell.
n-gineer, thanks can you run this as this is the lowest level test you can do to see if you can import the ELL module.
From your ELL repo:
cd build\interfaces\python\package
dir ell\Release
You should see these files:
12/29/2020 12:43 AM <DIR> .
12/29/2020 12:43 AM <DIR> ..
12/29/2020 12:43 AM 751 _ell_py.exp
12/29/2020 12:43 AM 1,732 _ell_py.lib
12/29/2020 12:43 AM 34,452,992 _ell_py.pyd
Now run "python" interactively in the same conda environment you used to build ELL:
python
then run this python statement
>>> import ell
And let me know what you see? If this works then try this python command:
>>> dir(ell)
and you should see this:
>>> import ell
>>> dir(ell)
['__builtins__', '__cached__', '__doc__', '__file__', '__loader__', '__name__', '__package__', '__path__', '__spec__', '__this_file_directory', '__warningregistry__', 'data', 'ell_py', 'ensure_openblas', 'init_magics', 'math', 'model', 'neural', 'nodes', 'package_dir', 'platform', 'rpi_magic', 'saved', 'trainers', 'util']
from ell.
Hi @lovettchris, thanks for the help on this. I'm sorry I did a poor job of reading instructions and thought the use of conda was optional, but upon re-reading I realized that python as a whole was optional.
results of dir:
Mode LastWriteTime Length Name
---- ------------- ------ ----
-a---l 12/21/20 1:16 PM 962 _ell_py.exp
-a---l 12/21/20 1:16 PM 1732 _ell_py.lib
-a---l 12/21/20 1:16 PM 34391552 _ell_py.pyd
I had installed ell without using a python environment, so I suspect that may be causing my problems. I went back and installed miniconda and made a python environment and tried import ell there (not expecting it to work due to backwards order of operations) and got back:
File "<stdin>", line 1, in <module>
File "C:\Users\...\ELL\build\interfaces\python\package\ell\__init__.py", line 47, in <module>
from . import data
File "C:\Users\...\ELL\build\interfaces\python\package\ell\data\__init__.py", line 9, in <module>
from ..ell_py import AutoDataVector, \
File "C:\Users\...\ELL\build\interfaces\python\package\ell\ell_py.py", line 11, in <module>
import _ell_py
ImportError: Module use of python38.dll conflicts with this version of Python.
When I tried doing it from conda prompt , it worked okay (probably because I didn't properly set up the environment beforehand), and I got back:
>>> import ell
>>> dir (ell)
['__builtins__', '__cached__', '__doc__', '__file__', '__loader__', '__name__', '__package__', '__path__', '__spec__', '__this_file_directory', 'data', 'ell_py', 'ensure_openblas', 'math', 'model', 'neural', 'nodes', 'package_dir', 'platform', 'saved', 'trainers', 'util']
I'm guessing this won't actually work and I should completely uninstall ELL and start over?
from ell.
Ok great, using miniconda is fine, and if "import ell" works then you should be good to go. You can run this test from your build folder to be sure it is working properly:
ctest . --build-config release -R python
from ell.
Hiii ,
even I am facing the same problem
I used anaconda prompt of version 3.18 & as directed i have created an environment py36 & done as directed but still facing issue in
ctest . --build-config release -R ell-python-interface-test__
ouput is :
Test project C:/Users/Shalaka.DESKTOP-9R8N143/ELL/build
Start 44: ell-python-interface-test
1/1 Test #44: ell-python-interface-test ........***Failed 0.06 sec
0% tests passed, 1 tests failed out of 1
Total Test time (real) = 0.12 sec
The following tests FAILED:
44 - ell-python-interface-test (Failed)
Errors while running CTest_
but I did,'t install python 3.6
was that neccessary?
plz help me out
Thank you..
from ell.
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- OpenBLAS cannot be linked HOT 2
- onnx_import.py : AttributeError: 'NoneType' object has no attribute 'output_shapes' HOT 2
- cMake is not recognized as an internal or external command HOT 2
- import _model Import error:DLL load failed HOT 3
- F524 '...'.format(...) is missing argument(s) for placeholder(s): 1 HOT 2
- Issue with CMAKE_SOURCE_DIR in CMakeFiles.txt HOT 1
- Training an audio keyword spotter with PyTorch HOT 1
- Training an audio keyword spotter with PyTorch ELL HOT 2
- Segfault using make_dataset (issue with importlib) HOT 1
- cmake configure failed with could not find TARGET _ELL_python HOT 2
- ctest error : model_test failed, common_test failed HOT 4
- error Importing a model from Open Neural Network in vgg.py file HOT 1
- Access denied HOT 1
- Question: Is ELL only for IoT Hub or IoT Edge on IoT central or can this be added using another IoT system
- Build fails (ubuntu20.04)
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