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Bump torch from 2.4.0+cu121 to 2.8.0 in /experiments/agentcompany/openhands #33

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Bump torch from 2.4.0+cu121 to 2.8.0 in /experiments/agentcompany/openhands #33

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2 changes: 1 addition & 1 deletion experiments/agentcompany/openhands/requirements.txt
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Expand Up @@ -174,7 +174,7 @@ tiktoken==0.7.0
tinycss2==1.3.0
tokenizers==0.20.3
tomli==2.0.1
torch==2.4.0+cu121
torch==2.8.0
torchaudio==2.4.0+cu121
torchvision==0.19.0
Comment on lines +177 to 179

@greptile-apps greptile-apps Bot Jun 10, 2026

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P1 torch/torchaudio/torchvision version mismatch

torch was bumped to 2.8.0 but torchaudio remains at 2.4.0 and torchvision at 0.19.0 — both of which correspond to the torch 2.4.x release train. These three packages must be kept in lockstep; mismatched versions cause ImportError or silent wrong-dispatch bugs at runtime when torchvision/torchaudio call into torch C++ internals. The expected companions for torch 2.8.0 are torchvision==0.23.0 and torchaudio==2.8.0.

Prompt To Fix With AI 
This is a comment left during a code review.
Path: experiments/agentcompany/openhands/requirements.txt
Line: 177-179

Comment:
**torch/torchaudio/torchvision version mismatch**

`torch` was bumped to 2.8.0 but `torchaudio` remains at 2.4.0 and `torchvision` at 0.19.0 — both of which correspond to the torch 2.4.x release train. These three packages must be kept in lockstep; mismatched versions cause `ImportError` or silent wrong-dispatch bugs at runtime when torchvision/torchaudio call into torch C++ internals. The expected companions for torch 2.8.0 are `torchvision==0.23.0` and `torchaudio==2.8.0`.

How can I resolve this? If you propose a fix, please make it concise.

Fix in Cursor Fix in Claude Code Fix in Codex

Comment on lines +177 to 179

@greptile-apps greptile-apps Bot Jun 10, 2026

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P1 CUDA build variant dropped for torch

torch was changed from torch==2.4.0+cu121 to torch==2.8.0 (no CUDA suffix), while torchaudio==2.4.0+cu121 still carries the +cu121 CUDA tag. Without the +cu121 variant specifier (and the corresponding --extra-index-url https://download.pytorch.org/whl/cu121), pip will resolve torch==2.8.0 to whichever wheel is on PyPI — which may be the CPU-only build. If CUDA acceleration is required in this environment, the CUDA-tagged build should be specified consistently across all three PyTorch packages.

Prompt To Fix With AI 
This is a comment left during a code review.
Path: experiments/agentcompany/openhands/requirements.txt
Line: 177-179

Comment:
**CUDA build variant dropped for torch**

`torch` was changed from `torch==2.4.0+cu121` to `torch==2.8.0` (no CUDA suffix), while `torchaudio==2.4.0+cu121` still carries the `+cu121` CUDA tag. Without the `+cu121` variant specifier (and the corresponding `--extra-index-url https://download.pytorch.org/whl/cu121`), pip will resolve `torch==2.8.0` to whichever wheel is on PyPI — which may be the CPU-only build. If CUDA acceleration is required in this environment, the CUDA-tagged build should be specified consistently across all three PyTorch packages.

How can I resolve this? If you propose a fix, please make it concise.

Fix in Cursor Fix in Claude Code Fix in Codex

tornado==6.4.1
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