pytorch / pytorch/vision

deform_conv2d for mps

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Dominant language
Python
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Avg merge
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Description

🐛 Describe the bug

NotImplementedError: The operator torchvision::deform_conv2d is not currently implemented for the MPS device.

Versions

PyTorch version: 1.12.1
Is debug build: False
CUDA used to build PyTorch: None
ROCM used to build PyTorch: N/A

OS: macOS 13.3 (x86_64)
GCC version: Could not collect
Clang version: 14.0.3 (clang-1403.0.22.14.1)
CMake version: Could not collect
Libc version: N/A

Python version: 3.10.9 (main, Mar 1 2023, 12:33:47) [Clang 14.0.6 ] (64-bit runtime)
Python platform: macOS-10.16-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:
Apple M2

Versions of relevant libraries:
[pip3] flake8==6.0.0
[pip3] mypy-extensions==0.4.3
[pip3] numpy==1.23.5
[pip3] numpydoc==1.5.0
[pip3] torch==1.12.1
[conda] numpy 1.23.5 py310he50c29a_0
[conda] numpy-base 1.23.5 py310h992e150_0
[conda] numpydoc 1.5.0 py310hecd8cb5_0
[conda] pytorch 1.12.1 cpu_py310h64f2f56_1

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First steps

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  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

The report names no repository file, test, or entry point, so first identify where torchvision::deform_conv2d and MPS support are handled. Done means the reported operation no longer raises NotImplementedError on MPS; add or run coverage if the repository provides it.

Written by the indexing model from the issue text.

Assessment

Tech stack
python, pytorch
Domain
computer-vision
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
35/100

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