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where `YOUR_HOST_MLIR_PYTHON_PACKAGE_PREFIX`is (as it says) the package prefix for your chosen host bindings.
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**When in doubt about this prefix**, it is everything up until `ir` when you import your bindings, e.g., in`import torch_mlir.ir`, `torch_mlir`is the `HOST_MLIR_PYTHON_PACKAGE_PREFIX`for the torch-mlir bindings.
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Alternatively, this [colab notebook](https://drive.google.com/file/d/1NAtf2Yxj_VVnzwn8u_kxtajfVzgbuWhi/view?usp=sharing) (which is the same as [examples/mlir_python_extras.ipynb](examples/mlir_python_extras.ipynb)) has a MWEif you don't want to install anything even.
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If you don't have any such package, but you want to experiment anyway, you can install the "stock" upstream bindings first:
where `YOUR_HOST_MLIR_PYTHON_PACKAGE_PREFIX`is (as it says) the package prefix for your chosen host bindings.
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**When in doubt about this prefix**, it is everything up until `ir` when you import your bindings, e.g., in`import torch_mlir.ir`, `torch_mlir`is the `HOST_MLIR_PYTHON_PACKAGE_PREFIX`for the torch-mlir bindings.
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## Examples/Demo
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Check [examples](examples) and [tests](tests) for a plethora of example code.
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Check [examples](examples) and [tests](tests) for a plethora of example code.
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