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But uv fails to resolve in a fresh venv with python 3.10
→ uv pip install ./sedonaai_cpu-0.1.1-py3-none-any.whl --extra-index-url https://download.pytorch.org/whl/cpu --prerelease=allow
× No solution found when resolving dependencies:
╰─▶ Because torch==2.2.0 is unusable because no wheels are available with a matching Python implementation and torch==2.2.1 is unusable because no wheels are available with a matching
Python implementation, we can conclude that any of:
torch==2.2.0
torch==2.2.1
cannot be used.
And because torch==2.2.2 is unusable because no wheels are available with a matching Python implementation, we can conclude that any of:
torch==2.2.0
torch==2.2.1
torch==2.2.2
cannot be used. (1)
Because only the following versions of torchvision are available:
torchvision<=0.17.0
torchvision==0.17.0+cpu
torchvision==0.17.1
torchvision==0.17.1+cpu
torchvision==0.17.2
torchvision==0.17.2+cpu
torchvision>=0.18.0
and torchvision==0.17.0 is unusable because no wheels are available with a matching Python implementation, we can conclude that torchvision>=0.17.0,<0.17.0+cpu cannot be used.
And because torchvision==0.17.0+cpu depends on torch==2.2.0, we can conclude that torchvision>=0.17.0,<0.17.1 depends on torch==2.2.0.
And because torchvision==0.17.1 is unusable because no wheels are available with a matching Python implementation and torchvision==0.17.1+cpu depends on torch==2.2.1, we can
conclude that torchvision>=0.17.0,<0.17.2 depends on one of:
torch==2.2.0
torch==2.2.1
And because torchvision==0.17.2 is unusable because no wheels are available with a matching Python implementation and torchvision==0.17.2+cpu depends on torch==2.2.2, we can
conclude that torchvision>=0.17.0 depends on one of:
torch==2.2.0
torch==2.2.1
torch==2.2.2
And because we know from (1) that any of:
torch==2.2.0
torch==2.2.1
torch==2.2.2
cannot be used, we can conclude that torchvision>=0.17.0 cannot be used.
And because sedonaai-cpu==0.1.1 depends on torchvision>=0.17.0, we can conclude that sedonaai-cpu==0.1.1 cannot be used.
And because only sedonaai-cpu==0.1.1 is available and you require sedonaai-cpu, we can conclude that the requirements are unsatisfiable.
The command you invoked (e.g., uv pip sync requirements.txt), ideally including the --verbose flag.
I've attached a .zip containing the cpu wheel I'm trying to install with uv.
this works find in a fresh conda env with python 3.10
But uv fails to resolve in a fresh venv with python 3.10
uv pip sync requirements.txt
), ideally including the--verbose
flag.the logs wth verbose are attached
logs.txt
artifact.zip
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