Comments (19)
I ended up fixing all the issues, here is a document about how I fixed everything
MLAgents setup guide.pdf
from ml-agents.
I followed those steps but met with many issues with the numpy version. I ended up finding the right solution for me, and it was to change the numpy verison in the setup.py
file in the ml-agents-envs
folder to "numpy>=1.21.2,<1.24.0"
rather than the other suggested ways. It's shown in this screenshot:
which is taken from this branch of the ml-agents repo: https://github.com/Unity-Technologies/ml-agents/blob/develop/ml-agents-envs/setup.py.
Thanks for the help, though!
from ml-agents.
I had this issue as well and fixed it by following @ashwinsnambiar recommendation of following @onurkurum #6008 (comment)
"Workaround:
Changed
"numpy==1.21.2",
to
"numpy==1.23.3",
in the file path-to-ml-agents\ml-agents-envs\setup.py"
from ml-agents.
Hey, I've been having the same issue as you so I tried changing the numpy version in the file like you showed and it allowed me to install the packages but now I get another error and I was wondering if you were getting it too. I get an error that says:
Warning: Failed to initialize NumPy: module compiled against API version 0x10 but this version of numpy is 0xf (function operator ())
.
Have you gotten this before and do you know how to fix this?
from ml-agents.
Maybe you come cross this problem and try:https://stackoverflow.com/questions/71986643/userwarning-failed-to-initialize-numpy-module-compiled-against-api-version-0xf
from ml-agents.
Hey, I've been having the same issue as you so I tried changing the numpy version in the file like you showed and it allowed me to install the packages but now I get another error and I was wondering if you were getting it too. I get an error that says:
Warning: Failed to initialize NumPy: module compiled against API version 0x10 but this version of numpy is 0xf (function operator ())
. Have you gotten this before and do you know how to fix this?
General flow:
- Install Microsoft visual C++
- Install Visual Studio with Unity and C++
- clone mlagents
- Reboot
- Creating a virtual environment python==3.10.12 (anaconda)
- installation pytorch (according to mlagents document version) : pip3 install torch ~ = 1.13.1 - f https://download.pytorch.org/whl/torch_stable.html (follow mlagent document)
- Change setup.py in /ml-agents-envs (it may not support numpy)
- I changed it to "numpy==1.22.4", (setup.py content) can't use numpy Most likely mlagents default numpy version is no longer supported by python3.10.12
- After that it's probably unity to install the mlagent plugin
- You can type 'mlagens-learn' in python with mlagent enabled in CMD and if it pops up, it's successful
from ml-agents.
Hey, I've been having the same issue as you so I tried changing the numpy version in the file like you showed and it allowed me to install the packages but now I get another error and I was wondering if you were getting it too. I get an error that says:
Warning: Failed to initialize NumPy: module compiled against API version 0x10 but this version of numpy is 0xf (function operator ())
. Have you gotten this before and do you know how to fix this?
I change numpy version to 1.22.4 because it support python3.10.12
from ml-agents.
I am having a problem that causes this error when running mlagents-learn --help
after having changed the numpy version and successfully gotten it to install
from ml-agents.
I am having a problem that causes this error when running
mlagents-learn --help
after having changed the numpy version and successfully gotten it to install
I seem to have solved, that issue, but now it gives a numpy error upon typing mlagents-learn
from ml-agents.
I had faced a similar issue. It seemed to be caused by an incorrect numpy version. I removed the existing numpy and mlagents packages from the virtual env and reinstalled everything by using the setup.py from a branch release.
Please check the following link for the same.
#6008 (comment)
from ml-agents.
I ended up fixing all the issues, here is a document about how I fixed everything MLAgents setup guide.pdf
Very detailed teaching, thank you!!
from ml-agents.
I ended up fixing all the issues, here is a document about how I fixed everything MLAgents setup guide.pdf
Very detailed teaching, thank you!!
NP!
from ml-agents.
I do the same but face this problem
TypeError: CCompiler_spawn() got an unexpected keyword argument 'env'
[end of output]
note: This error originates from a subprocess, and is likely not a problem with pip.
ERROR: Failed building wheel for numpy
Failed to build numpy
ERROR: Could not build wheels for numpy, which is required to install pyproject.toml-based projects
from ml-agents.
I do the same but face this problem
TypeError: CCompiler_spawn() got an unexpected keyword argument 'env' [end of output]
note: This error originates from a subprocess, and is likely not a problem with pip. ERROR: Failed building wheel for numpy Failed to build numpy ERROR: Could not build wheels for numpy, which is required to install pyproject.toml-based projects
You might need to also change the Python version in the other setup file
from ml-agents.
from ml-agents.
anaconda navigator
env/ create / name is env3103 / slected python 3.10.13
open terminal
goto downloads
cd .\ml-agents
git clone --branch release_21 https://github.com/Unity-Technologies/ml-agents.git
conda install pytorch=1.13.1 -c pytorch
pip install torch==1.13.1+cu117 torchvision==0.14.1+cu117 torchaudio==0.13.1 --extra-index-url https://download.pytorch.org/whl/cu117
mlagents env setup.py-
install_requires=[
"cloudpickle",
"grpcio>=1.11.0,<=1.48.2",
"Pillow>=4.2.1",
"protobuf>=3.6,<3.20",
"pyyaml>=3.1.0",
"gym>=0.21.0",
"pettingzoo==1.15.0",
"numpy==1.21.3",
"filelock>=3.4.0",
],
python_requires=">=3.10.1,<=3.10.13",
mlagents setup.py-
install_requires=[
# Test-only dependencies should go in test_requirements.txt, not here.
"grpcio>=1.11.0,<=1.48.2",
"h5py>=2.9.0",
f"mlagents_envs=={VERSION}",
"numpy>=1.23.3",
"Pillow>=4.2.1",
"protobuf>=3.6,<3.20",
"pyyaml>=3.1.0",
"torch>=1.13.1",
"tensorboard>=2.14",
# adding six explicit dependency since tensorboard needs it but doesn't declare it as a dep
"six>=1.16",
# cattrs 1.1.0 dropped support for python 3.6, but 1.0.0 doesn't work for python 3.9
# Since there's no version that supports both, we have to draw the line somewhere.
"cattrs>=1.1.0,<1.7; python_version>='3.8'",
"attrs>=19.3.0",
"huggingface_hub>=0.14",
'pypiwin32==223;platform_system=="Windows"',
"onnx==1.12.0",
],
python_requires=">=3.10.1,<=3.10.13",
python -m pip install ./ml-agents-envs
ERROR: Cannot install mlagents, mlagents-envs==1.0.0 and mlagents==1.0.0 because these package versions have conflicting dependencies.
The conflict is caused by:
mlagents 1.0.0 depends on protobuf<3.21 and >=3.6
mlagents-envs 1.0.0 depends on protobuf<3.20 and >=3.6
onnx 1.15.0 depends on protobuf>=3.20.2
To fix this you could try to:
- loosen the range of package versions you've specified
- remove package versions to allow pip attempt to solve the dependency conflict
ERROR: ResolutionImpossible: for help visit https://pip.pypa.io/en/latest/topics/dependency-resolution/#dealing-with-dependency-conflicts
from ml-agents.
it broke there for me
from ml-agents.
Hi Guys, having an issue with this as well. Been trying to install it for class. We're required to use Python 3.10.11, and I changed the setup.py to use numpy 1.23.1 (version teacher said we gotta use), however, no matter what I do, when I run python -m pip install mlagents==1.0.0 in the console, it always installs numpy 1.21.2, I'll post the setup files and command below:
Console:
(mlagents) D:\UnityHiren\MLAgents\ml-agents>python -m pip install mlagents==1.0.0
Collecting mlagents==1.0.0
Downloading mlagents-1.0.0-py3-none-any.whl (171 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 171.3/171.3 kB 3.4 MB/s eta 0:00:00
Requirement already satisfied: tensorboard>=2.14 in d:\unityhiren\mlagents\ml-agents\mlagents\lib\site-packages (from mlagents==1.0.0) (2.16.2)
Requirement already satisfied: onnx==1.12.0 in d:\unityhiren\mlagents\ml-agents\mlagents\lib\site-packages (from mlagents==1.0.0) (1.12.0)
Requirement already satisfied: numpy<2.0,>=1.13.3 in d:\unityhiren\mlagents\ml-agents\mlagents\lib\site-packages (from mlagents==1.0.0) (1.23.1)
Requirement already satisfied: attrs>=19.3.0 in d:\unityhiren\mlagents\ml-agents\mlagents\lib\site-packages (from mlagents==1.0.0) (23.2.0)
Requirement already satisfied: protobuf<3.20,>=3.6 in d:\unityhiren\mlagents\ml-agents\mlagents\lib\site-packages (from mlagents==1.0.0) (3.19.6)
Requirement already satisfied: torch>=1.13.1 in d:\unityhiren\mlagents\ml-agents\mlagents\lib\site-packages (from mlagents==1.0.0) (2.2.1)
Requirement already satisfied: pyyaml>=3.1.0 in d:\unityhiren\mlagents\ml-agents\mlagents\lib\site-packages (from mlagents==1.0.0) (6.0.1)
Requirement already satisfied: Pillow>=4.2.1 in d:\unityhiren\mlagents\ml-agents\mlagents\lib\site-packages (from mlagents==1.0.0) (10.2.0)
Requirement already satisfied: six>=1.16 in d:\unityhiren\mlagents\ml-agents\mlagents\lib\site-packages (from mlagents==1.0.0) (1.16.0)
Requirement already satisfied: grpcio<=1.48.2,>=1.11.0 in d:\unityhiren\mlagents\ml-agents\mlagents\lib\site-packages (from mlagents==1.0.0) (1.48.2)
Collecting mlagents-envs==1.0.0
Downloading mlagents_envs-1.0.0-py3-none-any.whl (89 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 89.5/89.5 kB ? eta 0:00:00
Requirement already satisfied: huggingface-hub>=0.14 in d:\unityhiren\mlagents\ml-agents\mlagents\lib\site-packages (from mlagents==1.0.0) (0.21.4)
Requirement already satisfied: h5py>=2.9.0 in d:\unityhiren\mlagents\ml-agents\mlagents\lib\site-packages (from mlagents==1.0.0) (3.10.0)
Requirement already satisfied: cattrs<1.7,>=1.1.0 in d:\unityhiren\mlagents\ml-agents\mlagents\lib\site-packages (from mlagents==1.0.0) (1.5.0)
Requirement already satisfied: pypiwin32==223 in d:\unityhiren\mlagents\ml-agents\mlagents\lib\site-packages (from mlagents==1.0.0) (223)
Requirement already satisfied: gym>=0.21.0 in d:\unityhiren\mlagents\ml-agents\mlagents\lib\site-packages (from mlagents-envs==1.0.0->mlagents==1.0.0) (0.26.2)
Collecting numpy<2.0,>=1.13.3
Downloading numpy-1.21.2.zip (10.3 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 10.3/10.3 MB 8.6 MB/s eta 0:00:00
Installing build dependencies ... done
Getting requirements to build wheel ... done
Preparing metadata (pyproject.toml) ... done
Requirement already satisfied: filelock>=3.4.0 in d:\unityhiren\mlagents\ml-agents\mlagents\lib\site-packages (from mlagents-envs==1.0.0->mlagents==1.0.0) (3.13.1)
Requirement already satisfied: pettingzoo==1.15.0 in d:\unityhiren\mlagents\ml-agents\mlagents\lib\site-packages (from mlagents-envs==1.0.0->mlagents==1.0.0) (1.15.0)
Requirement already satisfied: cloudpickle in d:\unityhiren\mlagents\ml-agents\mlagents\lib\site-packages (from mlagents-envs==1.0.0->mlagents==1.0.0) (3.0.0)
Requirement already satisfied: typing-extensions>=3.6.2.1 in d:\unityhiren\mlagents\ml-agents\mlagents\lib\site-packages (from onnx==1.12.0->mlagents==1.0.0) (4.10.0)
Requirement already satisfied: pywin32>=223 in d:\unityhiren\mlagents\ml-agents\mlagents\lib\site-packages (from pypiwin32==223->mlagents==1.0.0) (306)
Requirement already satisfied: packaging>=20.9 in d:\unityhiren\mlagents\ml-agents\mlagents\lib\site-packages (from huggingface-hub>=0.14->mlagents==1.0.0) (24.0)
Requirement already satisfied: tqdm>=4.42.1 in d:\unityhiren\mlagents\ml-agents\mlagents\lib\site-packages (from huggingface-hub>=0.14->mlagents==1.0.0) (4.66.2)
Requirement already satisfied: requests in d:\unityhiren\mlagents\ml-agents\mlagents\lib\site-packages (from huggingface-hub>=0.14->mlagents==1.0.0) (2.31.0)
Requirement already satisfied: fsspec>=2023.5.0 in d:\unityhiren\mlagents\ml-agents\mlagents\lib\site-packages (from huggingface-hub>=0.14->mlagents==1.0.0) (2024.2.0)
Requirement already satisfied: tensorboard-data-server<0.8.0,>=0.7.0 in d:\unityhiren\mlagents\ml-agents\mlagents\lib\site-packages (from tensorboard>=2.14->mlagents==1.0.0) (0.7.2)
Requirement already satisfied: absl-py>=0.4 in d:\unityhiren\mlagents\ml-agents\mlagents\lib\site-packages (from tensorboard>=2.14->mlagents==1.0.0) (2.1.0)
Requirement already satisfied: markdown>=2.6.8 in d:\unityhiren\mlagents\ml-agents\mlagents\lib\site-packages (from tensorboard>=2.14->mlagents==1.0.0) (3.5.2)
Requirement already satisfied: setuptools>=41.0.0 in d:\unityhiren\mlagents\ml-agents\mlagents\lib\site-packages (from tensorboard>=2.14->mlagents==1.0.0) (65.5.0)
Requirement already satisfied: werkzeug>=1.0.1 in d:\unityhiren\mlagents\ml-agents\mlagents\lib\site-packages (from tensorboard>=2.14->mlagents==1.0.0) (3.0.1)
Requirement already satisfied: sympy in d:\unityhiren\mlagents\ml-agents\mlagents\lib\site-packages (from torch>=1.13.1->mlagents==1.0.0) (1.12)
Requirement already satisfied: networkx in d:\unityhiren\mlagents\ml-agents\mlagents\lib\site-packages (from torch>=1.13.1->mlagents==1.0.0) (3.2.1)
Requirement already satisfied: jinja2 in d:\unityhiren\mlagents\ml-agents\mlagents\lib\site-packages (from torch>=1.13.1->mlagents==1.0.0) (3.1.3)
Requirement already satisfied: gym-notices>=0.0.4 in d:\unityhiren\mlagents\ml-agents\mlagents\lib\site-packages (from gym>=0.21.0->mlagents-envs==1.0.0->mlagents==1.0.0) (0.0.8)
Requirement already satisfied: colorama in d:\unityhiren\mlagents\ml-agents\mlagents\lib\site-packages (from tqdm>=4.42.1->huggingface-hub>=0.14->mlagents==1.0.0) (0.4.6)
Requirement already satisfied: MarkupSafe>=2.1.1 in d:\unityhiren\mlagents\ml-agents\mlagents\lib\site-packages (from werkzeug>=1.0.1->tensorboard>=2.14->mlagents==1.0.0) (2.1.5)
Requirement already satisfied: certifi>=2017.4.17 in d:\unityhiren\mlagents\ml-agents\mlagents\lib\site-packages (from requests->huggingface-hub>=0.14->mlagents==1.0.0) (2024.2.2)
Requirement already satisfied: idna<4,>=2.5 in d:\unityhiren\mlagents\ml-agents\mlagents\lib\site-packages (from requests->huggingface-hub>=0.14->mlagents==1.0.0) (3.6)
Requirement already satisfied: charset-normalizer<4,>=2 in d:\unityhiren\mlagents\ml-agents\mlagents\lib\site-packages (from requests->huggingface-hub>=0.14->mlagents==1.0.0) (3.3.2)
Requirement already satisfied: urllib3<3,>=1.21.1 in d:\unityhiren\mlagents\ml-agents\mlagents\lib\site-packages (from requests->huggingface-hub>=0.14->mlagents==1.0.0) (2.2.1)
Requirement already satisfied: mpmath>=0.19 in d:\unityhiren\mlagents\ml-agents\mlagents\lib\site-packages (from sympy->torch>=1.13.1->mlagents==1.0.0) (1.3.0)
Building wheels for collected packages: numpy
Building wheel for numpy (pyproject.toml) ... error
error: subprocess-exited-with-error
× Building wheel for numpy (pyproject.toml) did not run successfully.
│ exit code: 1
╰─> [271 lines of output]
setup.py:63: RuntimeWarning: NumPy 1.21.2 may not yet support Python 3.10.
warnings.warn(
Running from numpy source directory.
Processing numpy/random_bounded_integers.pxd.in
Processing numpy/random\bit_generator.pyx
Processing numpy/random\mtrand.pyx
Processing numpy/random_bounded_integers.pyx.in
Processing numpy/random_common.pyx
Processing numpy/random_generator.pyx
Processing numpy/random_mt19937.pyx
Processing numpy/random_pcg64.pyx
Processing numpy/random_philox.pyx
Processing numpy/random_sfc64.pyx
Cythonizing sources
blas_opt_info:
blas_mkl_info:
No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils
customize MSVCCompiler
libraries mkl_rt not found in ['D:\UnityHiren\MLAgents\ml-agents\mlagents\lib', 'C:\']
NOT AVAILABLE
blis_info:
libraries blis not found in ['D:\\UnityHiren\\MLAgents\\ml-agents\\mlagents\\lib', 'C:\\']
NOT AVAILABLE
openblas_info:
libraries openblas not found in ['D:\\UnityHiren\\MLAgents\\ml-agents\\mlagents\\lib', 'C:\\']
get_default_fcompiler: matching types: '['gnu', 'intelv', 'absoft', 'compaqv', 'intelev', 'gnu95', 'g95', 'intelvem', 'intelem', 'flang']'
customize GnuFCompiler
Could not locate executable g77
Could not locate executable f77
customize IntelVisualFCompiler
Could not locate executable ifort
Could not locate executable ifl
customize AbsoftFCompiler
Could not locate executable f90
customize CompaqVisualFCompiler
Could not locate executable DF
customize IntelItaniumVisualFCompiler
Could not locate executable efl
customize Gnu95FCompiler
Could not locate executable gfortran
Could not locate executable f95
customize G95FCompiler
Could not locate executable g95
customize IntelEM64VisualFCompiler
customize IntelEM64TFCompiler
Could not locate executable efort
Could not locate executable efc
customize PGroupFlangCompiler
Could not locate executable flang
don't know how to compile Fortran code on platform 'nt'
NOT AVAILABLE
accelerate_info:
NOT AVAILABLE
atlas_3_10_blas_threads_info:
Setting PTATLAS=ATLAS
libraries tatlas not found in ['D:\\UnityHiren\\MLAgents\\ml-agents\\mlagents\\lib', 'C:\\']
NOT AVAILABLE
atlas_3_10_blas_info:
libraries satlas not found in ['D:\\UnityHiren\\MLAgents\\ml-agents\\mlagents\\lib', 'C:\\']
NOT AVAILABLE
atlas_blas_threads_info:
Setting PTATLAS=ATLAS
libraries ptf77blas,ptcblas,atlas not found in ['D:\\UnityHiren\\MLAgents\\ml-agents\\mlagents\\lib', 'C:\\']
NOT AVAILABLE
atlas_blas_info:
libraries f77blas,cblas,atlas not found in ['D:\\UnityHiren\\MLAgents\\ml-agents\\mlagents\\lib', 'C:\\']
NOT AVAILABLE
D:\Temp\TEMP\Temp\pip-install-sm1w3kd6\numpy_b431fd2b9bcc42cd9217589f1c5d56db\numpy\distutils\system_info.py:2026: UserWarning:
Optimized (vendor) Blas libraries are not found.
Falls back to netlib Blas library which has worse performance.
A better performance should be easily gained by switching
Blas library.
if self._calc_info(blas):
blas_info:
libraries blas not found in ['D:\\UnityHiren\\MLAgents\\ml-agents\\mlagents\\lib', 'C:\\']
NOT AVAILABLE
D:\Temp\TEMP\Temp\pip-install-sm1w3kd6\numpy_b431fd2b9bcc42cd9217589f1c5d56db\numpy\distutils\system_info.py:2026: UserWarning:
Blas (http://www.netlib.org/blas/) libraries not found.
Directories to search for the libraries can be specified in the
numpy/distutils/site.cfg file (section [blas]) or by setting
the BLAS environment variable.
if self._calc_info(blas):
blas_src_info:
NOT AVAILABLE
D:\Temp\TEMP\Temp\pip-install-sm1w3kd6\numpy_b431fd2b9bcc42cd9217589f1c5d56db\numpy\distutils\system_info.py:2026: UserWarning:
Blas (http://www.netlib.org/blas/) sources not found.
Directories to search for the sources can be specified in the
numpy/distutils/site.cfg file (section [blas_src]) or by setting
the BLAS_SRC environment variable.
if self._calc_info(blas):
NOT AVAILABLE
non-existing path in 'numpy\\distutils': 'site.cfg'
lapack_opt_info:
lapack_mkl_info:
libraries mkl_rt not found in ['D:\\UnityHiren\\MLAgents\\ml-agents\\mlagents\\lib', 'C:\\']
NOT AVAILABLE
openblas_lapack_info:
libraries openblas not found in ['D:\\UnityHiren\\MLAgents\\ml-agents\\mlagents\\lib', 'C:\\']
NOT AVAILABLE
openblas_clapack_info:
libraries openblas,lapack not found in ['D:\\UnityHiren\\MLAgents\\ml-agents\\mlagents\\lib', 'C:\\']
NOT AVAILABLE
flame_info:
libraries flame not found in ['D:\\UnityHiren\\MLAgents\\ml-agents\\mlagents\\lib', 'C:\\']
NOT AVAILABLE
atlas_3_10_threads_info:
Setting PTATLAS=ATLAS
libraries lapack_atlas not found in D:\UnityHiren\MLAgents\ml-agents\mlagents\lib
libraries tatlas,tatlas not found in D:\UnityHiren\MLAgents\ml-agents\mlagents\lib
libraries lapack_atlas not found in C:\
libraries tatlas,tatlas not found in C:\
<class 'numpy.distutils.system_info.atlas_3_10_threads_info'>
NOT AVAILABLE
atlas_3_10_info:
libraries lapack_atlas not found in D:\UnityHiren\MLAgents\ml-agents\mlagents\lib
libraries satlas,satlas not found in D:\UnityHiren\MLAgents\ml-agents\mlagents\lib
libraries lapack_atlas not found in C:\
libraries satlas,satlas not found in C:\
<class 'numpy.distutils.system_info.atlas_3_10_info'>
NOT AVAILABLE
atlas_threads_info:
Setting PTATLAS=ATLAS
libraries lapack_atlas not found in D:\UnityHiren\MLAgents\ml-agents\mlagents\lib
libraries ptf77blas,ptcblas,atlas not found in D:\UnityHiren\MLAgents\ml-agents\mlagents\lib
libraries lapack_atlas not found in C:\
libraries ptf77blas,ptcblas,atlas not found in C:\
<class 'numpy.distutils.system_info.atlas_threads_info'>
NOT AVAILABLE
atlas_info:
libraries lapack_atlas not found in D:\UnityHiren\MLAgents\ml-agents\mlagents\lib
libraries f77blas,cblas,atlas not found in D:\UnityHiren\MLAgents\ml-agents\mlagents\lib
libraries lapack_atlas not found in C:\
libraries f77blas,cblas,atlas not found in C:\
<class 'numpy.distutils.system_info.atlas_info'>
NOT AVAILABLE
lapack_info:
libraries lapack not found in ['D:\\UnityHiren\\MLAgents\\ml-agents\\mlagents\\lib', 'C:\\']
NOT AVAILABLE
D:\Temp\TEMP\Temp\pip-install-sm1w3kd6\numpy_b431fd2b9bcc42cd9217589f1c5d56db\numpy\distutils\system_info.py:1858: UserWarning:
Lapack (http://www.netlib.org/lapack/) libraries not found.
Directories to search for the libraries can be specified in the
numpy/distutils/site.cfg file (section [lapack]) or by setting
the LAPACK environment variable.
return getattr(self, '_calc_info_{}'.format(name))()
lapack_src_info:
NOT AVAILABLE
D:\Temp\TEMP\Temp\pip-install-sm1w3kd6\numpy_b431fd2b9bcc42cd9217589f1c5d56db\numpy\distutils\system_info.py:1858: UserWarning:
Lapack (http://www.netlib.org/lapack/) sources not found.
Directories to search for the sources can be specified in the
numpy/distutils/site.cfg file (section [lapack_src]) or by setting
the LAPACK_SRC environment variable.
return getattr(self, '_calc_info_{}'.format(name))()
NOT AVAILABLE
numpy_linalg_lapack_lite:
FOUND:
language = c
define_macros = [('HAVE_BLAS_ILP64', None), ('BLAS_SYMBOL_SUFFIX', '64_')]
Warning: attempted relative import with no known parent package
D:\Temp\TEMP\Temp\pip-build-env-j0x5tnf_\overlay\Lib\site-packages\setuptools\_distutils\dist.py:275: UserWarning: Unknown distribution option: 'define_macros'
warnings.warn(msg)
running bdist_wheel
running build
running config_cc
unifing config_cc, config, build_clib, build_ext, build commands --compiler options
running config_fc
unifing config_fc, config, build_clib, build_ext, build commands --fcompiler options
running build_src
build_src
building py_modules sources
creating build
creating build\src.win-amd64-3.10
creating build\src.win-amd64-3.10\numpy
creating build\src.win-amd64-3.10\numpy\distutils
building library "npymath" sources
Traceback (most recent call last):
File "D:\UnityHiren\MLAgents\ml-agents\mlagents\lib\site-packages\pip\_vendor\pyproject_hooks\_in_process\_in_process.py", line 353, in <module>
main()
File "D:\UnityHiren\MLAgents\ml-agents\mlagents\lib\site-packages\pip\_vendor\pyproject_hooks\_in_process\_in_process.py", line 335, in main
json_out['return_val'] = hook(**hook_input['kwargs'])
File "D:\UnityHiren\MLAgents\ml-agents\mlagents\lib\site-packages\pip\_vendor\pyproject_hooks\_in_process\_in_process.py", line 251, in build_wheel
return _build_backend().build_wheel(wheel_directory, config_settings,
File "D:\Temp\TEMP\Temp\pip-build-env-j0x5tnf_\overlay\Lib\site-packages\setuptools\build_meta.py", line 211, in build_wheel
return self._build_with_temp_dir(['bdist_wheel'], '.whl',
File "D:\Temp\TEMP\Temp\pip-build-env-j0x5tnf_\overlay\Lib\site-packages\setuptools\build_meta.py", line 197, in _build_with_temp_dir
self.run_setup()
File "D:\Temp\TEMP\Temp\pip-build-env-j0x5tnf_\overlay\Lib\site-packages\setuptools\build_meta.py", line 248, in run_setup
super(_BuildMetaLegacyBackend,
File "D:\Temp\TEMP\Temp\pip-build-env-j0x5tnf_\overlay\Lib\site-packages\setuptools\build_meta.py", line 142, in run_setup
exec(compile(code, __file__, 'exec'), locals())
File "setup.py", line 448, in <module>
setup_package()
File "setup.py", line 440, in setup_package
setup(**metadata)
File "D:\Temp\TEMP\Temp\pip-install-sm1w3kd6\numpy_b431fd2b9bcc42cd9217589f1c5d56db\numpy\distutils\core.py", line 169, in setup
return old_setup(**new_attr)
File "D:\Temp\TEMP\Temp\pip-build-env-j0x5tnf_\overlay\Lib\site-packages\setuptools\__init__.py", line 165, in setup
return distutils.core.setup(**attrs)
File "D:\Temp\TEMP\Temp\pip-build-env-j0x5tnf_\overlay\Lib\site-packages\setuptools\_distutils\core.py", line 148, in setup
dist.run_commands()
File "D:\Temp\TEMP\Temp\pip-build-env-j0x5tnf_\overlay\Lib\site-packages\setuptools\_distutils\dist.py", line 967, in run_commands
self.run_command(cmd)
File "D:\Temp\TEMP\Temp\pip-build-env-j0x5tnf_\overlay\Lib\site-packages\setuptools\_distutils\dist.py", line 986, in run_command
cmd_obj.run()
File "D:\Temp\TEMP\Temp\pip-build-env-j0x5tnf_\overlay\Lib\site-packages\wheel\bdist_wheel.py", line 299, in run
self.run_command('build')
File "D:\Temp\TEMP\Temp\pip-build-env-j0x5tnf_\overlay\Lib\site-packages\setuptools\_distutils\cmd.py", line 313, in run_command
self.distribution.run_command(command)
File "D:\Temp\TEMP\Temp\pip-build-env-j0x5tnf_\overlay\Lib\site-packages\setuptools\_distutils\dist.py", line 986, in run_command
cmd_obj.run()
File "D:\Temp\TEMP\Temp\pip-install-sm1w3kd6\numpy_b431fd2b9bcc42cd9217589f1c5d56db\numpy\distutils\command\build.py", line 61, in run
old_build.run(self)
File "D:\Temp\TEMP\Temp\pip-build-env-j0x5tnf_\overlay\Lib\site-packages\setuptools\_distutils\command\build.py", line 135, in run
self.run_command(cmd_name)
File "D:\Temp\TEMP\Temp\pip-build-env-j0x5tnf_\overlay\Lib\site-packages\setuptools\_distutils\cmd.py", line 313, in run_command
self.distribution.run_command(command)
File "D:\Temp\TEMP\Temp\pip-build-env-j0x5tnf_\overlay\Lib\site-packages\setuptools\_distutils\dist.py", line 986, in run_command
cmd_obj.run()
File "D:\Temp\TEMP\Temp\pip-install-sm1w3kd6\numpy_b431fd2b9bcc42cd9217589f1c5d56db\numpy\distutils\command\build_src.py", line 144, in run
self.build_sources()
File "D:\Temp\TEMP\Temp\pip-install-sm1w3kd6\numpy_b431fd2b9bcc42cd9217589f1c5d56db\numpy\distutils\command\build_src.py", line 155, in build_sources
self.build_library_sources(*libname_info)
File "D:\Temp\TEMP\Temp\pip-install-sm1w3kd6\numpy_b431fd2b9bcc42cd9217589f1c5d56db\numpy\distutils\command\build_src.py", line 288, in build_library_sources
sources = self.generate_sources(sources, (lib_name, build_info))
File "D:\Temp\TEMP\Temp\pip-install-sm1w3kd6\numpy_b431fd2b9bcc42cd9217589f1c5d56db\numpy\distutils\command\build_src.py", line 378, in generate_sources
source = func(extension, build_dir)
File "numpy\core\setup.py", line 661, in get_mathlib_info
st = config_cmd.try_link('int main(void) { return 0;}')
File "D:\Temp\TEMP\Temp\pip-build-env-j0x5tnf_\overlay\Lib\site-packages\setuptools\_distutils\command\config.py", line 243, in try_link
self._link(body, headers, include_dirs,
File "D:\Temp\TEMP\Temp\pip-install-sm1w3kd6\numpy_b431fd2b9bcc42cd9217589f1c5d56db\numpy\distutils\command\config.py", line 163, in _link
return self._wrap_method(old_config._link, lang,
File "D:\Temp\TEMP\Temp\pip-install-sm1w3kd6\numpy_b431fd2b9bcc42cd9217589f1c5d56db\numpy\distutils\command\config.py", line 98, in _wrap_method
ret = mth(*((self,)+args))
File "D:\Temp\TEMP\Temp\pip-build-env-j0x5tnf_\overlay\Lib\site-packages\setuptools\_distutils\command\config.py", line 137, in _link
(src, obj) = self._compile(body, headers, include_dirs, lang)
File "D:\Temp\TEMP\Temp\pip-install-sm1w3kd6\numpy_b431fd2b9bcc42cd9217589f1c5d56db\numpy\distutils\command\config.py", line 106, in _compile
src, obj = self._wrap_method(old_config._compile, lang,
File "D:\Temp\TEMP\Temp\pip-install-sm1w3kd6\numpy_b431fd2b9bcc42cd9217589f1c5d56db\numpy\distutils\command\config.py", line 98, in _wrap_method
ret = mth(*((self,)+args))
File "D:\Temp\TEMP\Temp\pip-build-env-j0x5tnf_\overlay\Lib\site-packages\setuptools\_distutils\command\config.py", line 132, in _compile
self.compiler.compile([src], include_dirs=include_dirs)
File "D:\Temp\TEMP\Temp\pip-build-env-j0x5tnf_\overlay\Lib\site-packages\setuptools\_distutils\_msvccompiler.py", line 401, in compile
self.spawn(args)
File "D:\Temp\TEMP\Temp\pip-build-env-j0x5tnf_\overlay\Lib\site-packages\setuptools\_distutils\_msvccompiler.py", line 505, in spawn
return super().spawn(cmd, env=env)
File "D:\Temp\TEMP\Temp\pip-install-sm1w3kd6\numpy_b431fd2b9bcc42cd9217589f1c5d56db\numpy\distutils\ccompiler.py", line 88, in <lambda>
m = lambda self, *args, **kw: func(self, *args, **kw)
TypeError: CCompiler_spawn() got an unexpected keyword argument 'env'
[end of output]
note: This error originates from a subprocess, and is likely not a problem with pip.
ERROR: Failed building wheel for numpy
Failed to build numpy
ERROR: Could not build wheels for numpy, which is required to install pyproject.toml-based projects
ml-agents setup.py:
import os
import sys
from setuptools import setup, find_packages
from setuptools.command.install import install
from mlagents.plugins import ML_AGENTS_STATS_WRITER, ML_AGENTS_TRAINER_TYPE
import mlagents.trainers
VERSION = mlagents.trainers.version
EXPECTED_TAG = mlagents.trainers.release_tag
here = os.path.abspath(os.path.dirname(file))
class VerifyVersionCommand(install):
"""
Custom command to verify that the git tag is the expected one for the release.
Originally based on https://circleci.com/blog/continuously-deploying-python-packages-to-pypi-with-circleci/
This differs slightly because our tags and versions are different.
"""
description = "verify that the git tag matches our version"
def run(self):
tag = os.getenv("GITHUB_REF", "NO GITHUB TAG!").replace("refs/tags/", "")
if tag != EXPECTED_TAG:
info = "Git tag: {} does not match the expected tag of this app: {}".format(
tag, EXPECTED_TAG
)
sys.exit(info)
Get the long description from the README file
with open(os.path.join(here, "README.md"), encoding="utf-8") as f:
long_description = f.read()
setup(
name="mlagents",
version=VERSION,
description="Unity Machine Learning Agents",
long_description=long_description,
long_description_content_type="text/markdown",
url="https://github.com/Unity-Technologies/ml-agents",
author="Unity Technologies",
author_email="[email protected]",
classifiers=[
"Intended Audience :: Developers",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"License :: OSI Approved :: Apache Software License",
"Programming Language :: Python :: 3.10",
],
# find_namespace_packages will recurse through the directories and find all the packages
packages=find_packages(exclude=[".tests", ".tests.", "tests.", "tests"]),
zip_safe=False,
install_requires=[
# Test-only dependencies should go in test_requirements.txt, not here.
"grpcio>=1.11.0,<=1.48.2",
"h5py>=2.9.0",
"mlagents_envs=={VERSION}",
"numpy==1.23.1",
"Pillow>=4.2.1",
"protobuf>=3.6,<3.20",
"pyyaml>=3.1.0",
"torch>=2.1.1",
"tensorboard>=2.14",
# adding six explicit dependency since tensorboard needs it but doesn't declare it as a dep
"six>=1.16",
# cattrs 1.1.0 dropped support for python 3.6, but 1.0.0 doesn't work for python 3.9
# Since there's no version that supports both, we have to draw the line somewhere.
"cattrs>=1.1.0,<1.7; python_version>='3.8'",
"attrs>=19.3.0",
"huggingface_hub>=0.14",
'pypiwin32==223;platform_system=="Windows"',
"onnx==1.12.0",
],
python_requires=">=3.10.1,<=3.10.12",
entry_points={
"console_scripts": [
"mlagents-learn=mlagents.trainers.learn:main",
"mlagents-run-experiment=mlagents.trainers.run_experiment:main",
"mlagents-push-to-hf=mlagents.utils.push_to_hf:main",
"mlagents-load-from-hf=mlagents.utils.load_from_hf:main",
],
# Plugins - each plugin type should have an entry here for the default behavior
ML_AGENTS_STATS_WRITER: [
"default=mlagents.plugins.stats_writer:get_default_stats_writers"
],
ML_AGENTS_TRAINER_TYPE: [
"default=mlagents.plugins.trainer_type:get_default_trainer_types"
],
},
# TODO: Remove this once mypy stops having spurious setuptools issues.
cmdclass={"verify": VerifyVersionCommand}, # type: ignore
)
ml-agents-envs setup.py:
import os
import sys
from setuptools import setup, find_packages
from setuptools.command.install import install
import mlagents_envs
VERSION = mlagents_envs.version
EXPECTED_TAG = mlagents_envs.release_tag
here = os.path.abspath(os.path.dirname(file))
class VerifyVersionCommand(install):
"""
Custom command to verify that the git tag is the expected one for the release.
Originally based on https://circleci.com/blog/continuously-deploying-python-packages-to-pypi-with-circleci/
This differs slightly because our tags and versions are different.
"""
description = "verify that the git tag matches our version"
def run(self):
tag = os.getenv("GITHUB_REF", "NO GITHUB TAG!").replace("refs/tags/", "")
if tag != EXPECTED_TAG:
info = "Git tag: {} does not match the expected tag of this app: {}".format(
tag, EXPECTED_TAG
)
sys.exit(info)
Get the long description from the README file
with open(os.path.join(here, "README.md"), encoding="utf-8") as f:
long_description = f.read()
setup(
name="mlagents_envs",
version=VERSION,
description="Unity Machine Learning Agents Interface",
long_description=long_description,
long_description_content_type="text/markdown",
url="https://github.com/Unity-Technologies/ml-agents",
author="Unity Technologies",
author_email="[email protected]",
classifiers=[
"Intended Audience :: Developers",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"License :: OSI Approved :: Apache Software License",
"Programming Language :: Python :: 3.10",
],
packages=find_packages(
exclude=[".tests", ".tests.", "tests.", "tests", "colabs", "*.ipynb"]
),
zip_safe=False,
install_requires=[
"cloudpickle",
"grpcio>=1.11.0,<=1.48.2",
"Pillow>=4.2.1",
"protobuf>=3.6,<3.20",
"pyyaml>=3.1.0",
"gym>=0.21.0",
"pettingzoo==1.15.0",
"numpy==1.23.1",
"filelock>=3.4.0",
],
python_requires=">=3.10.1,<=3.10.12",
# TODO: Remove this once mypy stops having spurious setuptools issues.
cmdclass={"verify": VerifyVersionCommand}, # type: ignore
)
If you guys have any tips for fixing this, please tell me, been at it for 3 weeks, but I can't get my head around what's happening, I've reinstalled countless times, and deleted PIP Cache to prevent this (since before it used the cached numpy 1.21 as well)
Thank you in advance for your help
from ml-agents.
Installing mlagents from pip seems to be broken because of the numpy dependancy issues. I had faced the same problem earlier. Once you have updated the setup.py files, instead of installing it using pip, you have to install it from the cloned mlagents repo. Please read the section "Install the mlagents Python package" from the documentation https://unity-technologies.github.io/ml-agents/Installation/.
If its still not clear, check the pdf. @ICOnce has documented it well step wise. https://github.com/Unity-Technologies/ml-agents/issues/6047#issuecomment-1943131006
Hi Guys, having an issue with this as well. Been trying to install it for class. We're required to use Python 3.10.11, and I changed the setup.py to use numpy 1.23.1 (version teacher said we gotta use), however, no matter what I do, when I run python -m pip install mlagents==1.0.0 in the console, it always installs numpy 1.21.2, I'll post the setup files and command below:
If you guys have any tips for fixing this, please tell me, been at it for 3 weeks, but I can't get my head around what's happening, I've reinstalled countless times, and deleted PIP Cache to prevent this (since before it used the cached numpy 1.21 as well)
Thank you in advance for your help
from ml-agents.
Related Issues (20)
- ImportError: symbol not found in flat namespace '_CFRelease' HOT 2
- cannot download file from the link "https://storage.googleapis.com/mlagents-test-environments/ma-poca/win/Startup.zip" HOT 2
- mlagents.trainers.exception.TrainerConfigError: The behavior name My Behavior has not been specified in the trainer configuration. HOT 1
- Crash when launching scene and mlagnets-learn HOT 3
- I can't use mlagents_trainer_plugin dqn in 3DBall and Match3 unity env(btw,a2c is work) HOT 2
- IndexOutOfRangeException on "onActionReceived"-method
- ML agents error
- ERROR: No matching distribution found for mlagents==1.0.0 HOT 2
- Branch release 21 is stale and the tutorial recommends this branch HOT 1
- Fix the installation guide HOT 1
- Inconsistent EpisodeEnd behavior in "Basic" example HOT 1
- UnityToGymWrapper Completely Broken due to Online Registry Being Down HOT 8
- Registry URL Permission Denied HOT 4
- Registry URL Permission Denied; Attribute Error HOT 2
- Potential Memory leak when using model HOT 1
- [Regression] ObservationWriter.AddList and DiscreteActionOutputApplier.Apply have become inefficient with Sentis 1.2.0+ HOT 1
- Can't use a camera after being used in a camera sensor HOT 3
- Having issue installing ml-agents HOT 2
- Onnx error when saving model. HOT 3
- Can one Agent have two different BehaviorParameters compenents ? HOT 1
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from ml-agents.