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Description
是否已有关于该错误的issue或讨论? | Is there an existing issue / discussion for this?
- 我已经搜索过已有的issues和讨论 | I have searched the existing issues / discussions
该问题是否在FAQ中有解答? | Is there an existing answer for this in FAQ?
- 我已经搜索过FAQ | I have searched FAQ
当前行为 | Current Behavior
Dependencies Installation Fails on macOS ARM64 due to Incompatible decord Package
Description
When attempting to install project dependencies using uv add, the installation fails because the decord==0.6.0 package does not have wheel distributions compatible with macOS ARM64 architecture.
Environment
- OS: macOS
- Architecture: ARM64 (M-series chip,
macosx_26_0_arm64) - Package Manager: uv
Reproduction Steps
- Run the following command:
uv add "transformers==4.51.0" accelerate "torch>=2.3.0,<=2.8.0" "torchaudio<=2.8.0" "minicpmo-utils[all]>=1.0.2"Error Message
error: Distribution `decord==0.6.0 @ registry+http://mirrors.aliyun.com/pypi/simple/` can't be installed because it doesn't have a source distribution or wheel for the current platform
hint: You're on macOS (`macosx_26_0_arm64`), but `decord` (v0.6.0) only has wheels for the following platforms: `manylinux2010_x86_64`, `win_amd64`
Root Cause
The decord==0.6.0 package (likely a transitive dependency) only provides pre-built wheels for:
- Linux (manylinux2010_x86_64)
- Windows (win_amd64)
But not for macOS ARM64.
Suggested Solutions
- Add platform constraints to
pyproject.tomlto specify required environments - Find and remove the dependency chain that requires
decordif it's not needed - Use an alternative package that provides macOS ARM64 support
- Build from source if available (may require additional build tools)
Additional Context
The error suggests adding the following to tool.uv.required-environments in pyproject.toml:
[tool.uv]
required-environments = ["sys_platform == 'darwin' and platform_machine == 'arm64'"]This would allow uv to resolve to compatible versions for the ARM64 platform.
期望行为 | Expected Behavior
No response
复现方法 | Steps To Reproduce
No response
运行环境 | Environment
- OS:
- Python:
- Transformers:
- PyTorch:
- CUDA (`python -c 'import torch; print(torch.version.cuda)'`):备注 | Anything else?
No response
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