mirror of https://github.com/llvm/torch-mlir
19 lines
554 B
Python
19 lines
554 B
Python
# Run full pipeline with:
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# -npcomp-cpa-type-inference -numpy-public-functions-to-tensor -convert-numpy-to-tcf -canonicalize
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import numpy as np
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from npcomp.compiler import test_config
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import_global = test_config.create_import_dump_decorator()
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global_data = (np.zeros((2, 3)) + [1.0, 2.0, 3.0] * np.reshape([1.0, 2.0],
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(2, 1)))
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a = np.asarray([1.0, 2.0], dtype=np.float32)
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b = np.asarray([3.0, 4.0], dtype=np.float32)
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@import_global
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def global_add():
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return np.add(a, np.add(b, a))
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