Open ap4499 opened 1 week ago
Trying to build macOS app with torch==2.4.1
and detailed log gives this error:
( ● ) Packaging Python app ⏳... Configured Darwin/x86_64 platform with sitecustomize.py
Installing [flet==0.25.0.dev3614, torch==2.4.1] with pip command to /var/folders/39/r38wl7vj2ds6bmcw9sfhsgf80000gn/T/serious_python_tempg1CO8p/__pypackages__/x86_64
( ●) Packaging Python app ⏳... ERROR: Could not find a version that satisfies the requirement torch==2.4.1 (from versions: 2.2.0, 2.2.1, 2.2.2)
Packaging macOS has been improved in Flet 0.25 and now, by default, it's trying to create a universal app, i.e. include both arm64
and x86_64
dependencies. Here we see that it cannot find x86_64
wheels for torch 2.4.1 and we can confirm that on this page - only macOS arm64
wheels are available: https://pypi.org/project/torch/2.4.1/#files
There is a new --arch
option for flet build
command that tells it to build only a specific architecture. Currently works only with macOS builds.
Run flet build macos --arch arm64 ...
and it will package just fine. Resulting bundle will be able to run on "M" CPUs only.
Let's keep this issue open as a reminder to update docs.
Duplicate Check
Describe the bug
On the latest dev build of Flet 0.25, torch==2.4.1 cannot be installed when using Flet Build.
Code sample
Code
#main.py ```python import torch import flet ``` #requirements.txt ``` flet==0.25.0.dev3598 torch==2.4.1 ```To reproduce
Expected behavior
Successful install.
Screenshots / Videos
Captures
[Upload media here]Operating System
macOS
Operating system details
MacOS 15.0.1
Flet version
flet==0.25.0.dev3614
Regression
Yes, it used to work in a previous Flet version (please specify the version in additional details)
Suggestions
No response
Logs
Logs
``` console ( ● ) Packaging Python app ⏳... ERROR: Could not find a version that satisfies the requirement torch==2.4.1 (from versions: 2.2.0, 2.2.1, 2.2.2) ERROR: No matching distribution found for torch==2.4.1 ```Additional details
The above works when using Flet==0.24.1.
Note, in the above, the code is light as Torch is not being used for anything - this is just illustrating the issue with the Build() process.