Comments (2)
Since you're building and installing it yourself, I'm not sure what may have gone wrong. It seems like pip doesn't think you have it installed, for whatever reason. Some workarounds I can think of would be to git clone the repo, remove the torch_mlir
requirement, and install from there (since you're confident it will be available at import time).
It looks like pip also has a --no-dependencies
flag you could try using.
from iree-torch.
Thank you. I successfully installed iree_torch by pip install git+https://github.com/iree-org/iree-torch.git --no-dependencies
from iree-torch.
Related Issues (11)
- Installation occurs during pip install HOT 4
- Update bert colab to use new releases page HOT 1
- error: dialect 'arith' provides no attribute parsing hook HOT 10
- AttributeError: module 'torch_mlir' has no attribute 'compile' HOT 16
- Unknown target `bindings_python_iree_runtime_runtime` HOT 2
- Run examples/bert.py, it report expected mlir::RankedTensorType, but got: 'i32' HOT 2
- import functorch fails (cannot import name 'set_autograd_function_allowed' from 'torch._C._functorch') HOT 2
- May need to remove pillow<7 from requirements.txt
- Example Colab notebook fails to install torch-mlir (using Python 3.8) HOT 1
- error: bytecode version - when I try the bert example. HOT 1
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