mirror of https://github.com/llvm/torch-mlir
26 lines
769 B
Python
26 lines
769 B
Python
# Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
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# See https://llvm.org/LICENSE.txt for license information.
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# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
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# E2E demo for compiling and running various adds.
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from _npcomp.mlir import ir
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from _npcomp.mlir import passes
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# TODO: Trace the function instead of starting from asm.
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ASM = r"""
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func @rank1(%arg0: tensor<?xf32>, %arg1: tensor<?xf32>) -> tensor<?xf32> {
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%0 = "tcf.add"(%arg0, %arg1) : (tensor<?xf32>, tensor<?xf32>) -> tensor<?xf32>
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return %0 : tensor<?xf32>
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}
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"""
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context = ir.MLIRContext()
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input_module = context.parse_asm(ASM)
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pm = passes.PassManager(context)
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pm.addPassPipelines("e2e-lowering-pipeline")
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pm.run(input_module)
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print(input_module.to_asm())
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