Brave Search

This will be easily solved by upgrading numpy.... When I face this error, that time numpy version 1.22 was installed.... I update version to 1.24.1 using this command

Copypip install numpy==1.24.1

Error Resolved

reddit.com › r/learnpython › torch is being built with the wrong version of numpy (with pip)

r/learnpython on Reddit: Torch is being built with the wrong version of NumPy (with pip)

April 13, 2025 -

Hello, I need help with the problem I'm trying to solve for a few days now. I have to run a project which uses a bunch of packages, including NumPy 1.22 and PyTorch 1.13. I'm using Windows 10 and Python 3.10.11 with pip 23.0.1. When I install the appropriate versions of the packages and try to run the project, I'm getting error: Failed to initialize NumPy: module compiled against API version 0x10 but this version of numpy is 0xf (Triggered internally at ..\torch\csrc\utils\tensor_numpy.cpp:77.). AFAIK 0xf is 1.22 (the version I have installed) and 0x10 is 1.23/1.24.

What I tried:

Reinstalling Python including removing everything Python-related (like files in %APPDATA%) to be sure that no versions of NumPy and PyTorch exist in my system (except for packages bundled in some software that I don't want to uninstall).
Checking the Path variable to be sure that the correct version of Python and pip is used.
Using venv to have a clear environment.

But still somehow torch seems to be installed with NumPy 1.23/1.24 despite the fact that I have no such version of that package in my system (I searched my entire disk). When I import NumPy and print the version and the path, it correctly shows version 1.22 and the path to the package in venv I created.

I also can't update to the newest version of NumPy (or to 1.23/1.24) because then I get incompatibility with SciPy version. I also can't upgrade the project's requirements, the code is from a paper I'm not the author of so it would be cumbersome.

Top answer

1 of 3

3

Are you using virtual environments? If not I'd strongly suggest you look at using either Miniconda (a package managing tool for python) or the slightly more manual approach of using venv . That way you can more reliably try different versions of your dependencies to debug this out. Once you do, come back and let us know if you are still seeing these issues and we can dig deeper into the issue. But for now, the potential for cross dependency conflict is too high and could make trouble shooting a real nightmare.

2 of 3

1

Maybe try using poetry

Discussions

NumPy 2.1.0 Compatibility Issue with PyTorch 2.4.0: Importing PyTorch with NumPy 2.1.0 Causes _ARRAY_API not found Error

Attempting to import PyTorch (torch) in a Python script results in a compatibility error related to NumPy. The error indicates that a module compiled using NumPy 1.x cannot be run with NumPy 2.1.0 due to potential crashes. It suggests that modules must be compiled with NumPy 2.0 or newer to support both versions... More on github.com

github.com

4

September 3, 2024

python - Why does torch import complain about numpy version - Stack Overflow

I created a virtual environment on MacOS and installed pytorch with pip: python -m env torch-env source torch-env/bin/activate pip install torch torchvision torchaudio Launching python and importing More on stackoverflow.com

stackoverflow.com

Version compatibility guide

ok, i was just ignorant of the fact that numpy 2 was released like 2 days ago. it seems to work with any reasonable version that starts with 1 More on reddit.com

r/pytorch

4

5

June 18, 2024

Numpy Version?

Does pytorch3d only support numpy and numpy-base with version >= 1.21? More on github.com

github.com

6

March 9, 2022

GitHub

github.com › pytorch › pytorch › issues › 107302

NumPy 2.0 Support · Issue #107302 · pytorch/pytorch

August 16, 2023 - Once we have a NumPy 2.0 compatible available, upgrade all our binary build to this version of NumPy and remove the error message above. This will ensure that our produced binaries work with any version of NumPy (including <2.0) Make torch.compile ...

Author pytorch

How to solve the pytorch RuntimeError: Numpy is not available without upgrading numpy to the latest version because of other dependencies

stackoverflow.com › questions › 71689095 › how-to-solve-the-pytorch-runtimeerror-numpy-is-not-available-without-upgrading

Getting same error for numpy 2.0 as of March 18th 2025.

Current solution is to install the latest version of numpy 1 (1.26.4) instead:

Copypip install "numpy<2"

You will likely have to restart the kernel afterwards.

Answer from Talha Tayyab on Stack Overflow

GitHub

github.com › pytorch › pytorch › issues › 135013

NumPy 2.1.0 Compatibility Issue with PyTorch 2.4.0: Importing PyTorch with NumPy 2.1.0 Causes _ARRAY_API not found Error · Issue #135013 · pytorch/pytorch

September 3, 2024 - To support both 1.x and 2.x versions of NumPy, modules must be compiled with NumPy 2.0. Some module may need to rebuild instead e.g. with 'pybind11>=2.12'. If you are a user of the module, the easiest solution will be to downgrade to 'numpy<2' ...

Author pytorch

PyTorch Foundation

pytorch.org

PyTorch Foundation

Note that LibTorch is only available for C++. NOTE: Latest Stable PyTorch requires Python 3.10 or later. ... pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118 Previous versions of PyTorch

GitHub

github.com › deepinv › deepinv › discussions › 349

torch + numpy versions on Windows · deepinv/deepinv · Discussion #349

Now that we have unpinned the numpy version in #329, if you want to upgrade to numpy 2, you must also upgrade your pytorch to >2.4.1. Otherwise you may get the error: A module that was compiled using NumPy 1.x cannot be run in NumPy 2.0.1 as ...

Author deepinv

Stack Overflow

stackoverflow.com › questions › 79532275 › why-does-torch-import-complain-about-numpy-version

python - Why does torch import complain about numpy version - Stack Overflow

most likely the pytorch wheel you installed was compiled with numpy 1.x. There are a few github issues on this error - the solution seems to be upgrading the pytorch version ... numpy 2.0 simply didn't exist when torch 2.2.2 was released, and ...

Find elsewhere

Google Bing Mojeek

reddit.com › r/pytorch › version compatibility guide

r/pytorch on Reddit: Version compatibility guide

June 18, 2024 -

Is there somewhere a searchable version compatibility database? As in all python projects reconciling versions is a pretty annoying problem, I meet it again and again.

Currently I try to use pytorch2.3.1 with cuda 11.8 , python 3.11.2 . It seems like I cannot get rid of a warning ( UserWarning: Failed to initialize NumPy: _ARRAY_API not found (Triggered internally at ..\torch\csrc\utils\tensor_numpy.cpp:84 ).

Id guess its caused by an incorrect numpy version. Is there a place to look up what combination of torch-cuda-python-numpy is ok and which is not?

Top answer

1 of 2

3

ok, i was just ignorant of the fact that numpy 2 was released like 2 days ago. it seems to work with any reasonable version that starts with 1

2 of 2

1

Are you looking for https://github.com/pytorch/pytorch/blob/main/RELEASE.md#release-compatibility-matrix ?

GitHub

github.com › wkentaro › pytorch-for-numpy-users

GitHub - wkentaro/pytorch-for-numpy-users: PyTorch for Numpy users. https://pytorch-for-numpy-users.wkentaro.com · GitHub

PyTorch version of Torch for Numpy users.

Starred by 705 users

Forked by 87 users

Languages HTML 81.3% | Python 18.7%

GitHub

github.com › facebookresearch › pytorch3d › issues › 1110

Numpy Version? · Issue #1110 · facebookresearch/pytorch3d

March 9, 2022 - = 1.21? I have a package compatible with numpy

Author facebookresearch

PyTorch

docs.pytorch.org › docs › stable › generated › torch.Tensor.numpy.html

torch.Tensor.numpy

Continue to ../../2.12/generated/torch.Tensor.numpy.html

NumPy

numpy.org › doc › stable › user › basics.interoperability.html

Interoperability with NumPy — NumPy v2.4 Manual

PyTorch does not implement __array_function__ or __array_ufunc__. Under the hood, the Tensor.__array__() method returns a NumPy ndarray as a view of the tensor data buffer. See this issue and the __torch_function__ implementation for details.

NumPy

numpy.org › doc › 2.2 › user › basics.interoperability.html

Interoperability with NumPy — NumPy v2.2 Manual

PyTorch does not implement __array_function__ or __array_ufunc__. Under the hood, the Tensor.__array__() method returns a NumPy ndarray as a view of the tensor data buffer. See this issue and the __torch_function__ implementation for details.

PyPI

pypi.org › project › torch

torch · PyPI

You can write new neural network layers in Python using the torch API or your favorite NumPy-based libraries such as SciPy.

      » pip install torch

Published May 13, 2026

Version 2.12.0

Homepage https://pytorch.org

GitHub

github.com › pytorch › pytorch › issues › 147122

PyTorch build with numpy version incompatibility · Issue #147122 · pytorch/pytorch

February 13, 2025 - I'm building the latest PyTorch ... may crash. To support both 1.x and 2.x versions of NumPy, modules must be compiled with NumPy 2.0....

Author pytorch

PyTorch Forums

discuss.pytorch.org › t › numpy-not-available › 120409

Numpy not Available - PyTorch Forums

Top answer

1 of 15

2

Install the latest numpy 1.21 solved my problem.

2 of 15

0

Ok. I’ve had this one before. I think (I’m only hypothesizing) that you have to refer to Numpy as np forever after. I think. You’ve referred to it as from_numpy. Maybe I’m just running the wrong track and the error is something else. If this doesn’t work, I’m super sorry, I’m under 15 years of age. …

NumPy

numpy.org › doc › 2.1 › user › basics.interoperability.html

Interoperability with NumPy — NumPy v2.1 Manual

PyTorch does not implement __array_function__ or __array_ufunc__. Under the hood, the Tensor.__array__() method returns a NumPy ndarray as a view of the tensor data buffer. See this issue and the __torch_function__ implementation for details.

GitHub

github.com › qiskit-community › qiskit-machine-learning › issues › 812

Pinned `torch==2.2.2` breaks CI due to `numpy>=2.0` · Issue #812 · qiskit-community/qiskit-machine-learning

July 2, 2024 - https://github.com/qiskit-community/qiskit-machine-learning/actions/runs/9753721897/job/26919448830#step:8:2473 because version 2.2.2 of PyTorch, pinned in #796, is no longer compatible with Numpy following the v. 2.0 release.

Author qiskit-community

NVIDIA Developer Forums

forums.developer.nvidia.com › robotics & edge computing › jetson systems › jetson orin nx

Building Pytorch from source with numpy 2.x on JetPack 6.2 - Jetson Orin NX - NVIDIA Developer Forums

Top answer

1 of 1

1

Hi, You can build it from the source to fit your requirement. Please find an example in the below comment: [image] PyTorch environment and Zed SDK conflicts on Jetpack 6.2 Jetson Orin NX Hi, PyTorch can be built natively on JetPack 6.2. It takes around 2 hours to fini…

PyTorch Forums

discuss.pytorch.org › t › getting-runtimeerror-numpy-is-not-available-whenever-trying-with-torch-from-numpy › 206871

Getting "RuntimeError: Numpy is not available" whenever trying with "torch.from_numpy" - PyTorch Forums

July 24, 2024 - When I try to run a simple code, I receive an error saying that Numpy is not available. import torch import numpy as np data = np.array([1, 2, 3], dtype=np.uint8) tensor = torch.from_numpy(data) Traceback (most recent call last): File ...