-
Notifications
You must be signed in to change notification settings - Fork 508
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
build_apple_frameworks.sh failed with error : Cell paths shim/prelude
and third-party/prelude
had the same alias prelude
.
#9312
Comments
@AkiSakurai This is the wrong version of Buck. It appears to be the one from before the pin bump 2 months ago; the current version is 9c9a583658d43e82b41f3fc9d369a9b0 . Not sure why it hasn't been automatically updated for you, but I imagine that deleting buck2-bin should get you fixed up. |
Confirmed that deleting the cached Buck2 resolves the issues. executorch/build/build_apple_frameworks.sh Line 208 in 5a5fab7
The script uses a wildcard to locate the cached Buck2 instead of utilizing resolve_buck.py. |
over to @shoumikhin for the build_apple_frameworks issue |
@AkiSakurai ptal at #9369 |
🐛 Describe the bug
./build/build_apple_frameworks.sh --coreml --custom --mps --optimized --portable --quantized --xnnpack
Versions
82f3381
Collecting environment information...
PyTorch version: 2.8.0a0+git790f93d
Is debug build: False
CUDA used to build PyTorch: None
ROCM used to build PyTorch: N/A
OS: macOS 15.3.2 (x86_64)
GCC version: Could not collect
Clang version: 16.0.0 (clang-1600.0.26.4)
CMake version: version 3.31.1
Libc version: N/A
Python version: 3.11.1 (v3.11.1:a7a450f84a, Dec 6 2022, 15:24:06) [Clang 13.0.0 (clang-1300.0.29.30)] (64-bit runtime)
Python platform: macOS-15.3.2-x86_64-i386-64bit
Is CUDA available: False
CUDA runtime version: No CUDA
CUDA_MODULE_LOADING set to: N/A
GPU models and configuration: No CUDA
Nvidia driver version: No CUDA
cuDNN version: No CUDA
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True
CPU:
Intel(R) Core(TM) i9-9880H CPU @ 2.30GHz
Versions of relevant libraries:
[pip3] executorch==0.6.0a0+6fe7edb
[pip3] flake8==6.1.0
[pip3] flake8-breakpoint==1.1.0
[pip3] flake8-bugbear==24.4.26
[pip3] flake8-comprehensions==3.14.0
[pip3] flake8-executable==2.1.3
[pip3] flake8-logging-format==0.9.0
[pip3] flake8-plugin-utils==1.3.3
[pip3] flake8-pyi==23.5.0
[pip3] flake8-simplify==0.19.3
[pip3] mypy==1.14.1
[pip3] mypy-extensions==1.0.0
[pip3] numpy==1.23.2
[pip3] onnx==1.17.0
[pip3] onnxscript==0.1.0.dev20250107
[pip3] optree==0.13.0
[pip3] torch==2.6.0a0+gitb9fbd65
[pip3] torchaudio==2.6.0a0+b6d4675
[pip3] torchaudio==2.6.0a0+b6d4675
[pip3] torchsr==1.0.4
[pip3] torchvision==0.22.0a0+d3beb52
[pip3] torchvision==0.22.0a0+d3beb52
[conda] clip-anytorch 2.5.0 pypi_0 pypi
[conda] numpy 1.23.5 pypi_0 pypi
[conda] optree 0.10.0 pypi_0 pypi
[conda] pytorch-lightning 2.0.1 pypi_0 pypi
[conda] torch 2.4.0a0+git88fa843 pypi_0 pypi
[conda] torchaudio 2.0.0.dev20230310 pypi_0 pypi
[conda] torchdiffeq 0.2.3 pypi_0 pypi
[conda] torchmetrics 0.11.4 pypi_0 pypi
[conda] torchsde 0.2.5 pypi_0 pypi
cc @larryliu0820 @jathu @lucylq
The text was updated successfully, but these errors were encountered: