mirror of https://github.com/llvm/torch-mlir
33 lines
810 B
Python
33 lines
810 B
Python
# -*- Python -*-
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# This file is licensed under a pytorch-style license
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# See frontends/pytorch/LICENSE for license information.
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import torch
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import torch_mlir
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import npcomp
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from npcomp.compiler.pytorch.backend import refjit, frontend_lowering
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from npcomp.compiler.utils import logging
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import test_utils
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logging.enable()
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torch.manual_seed(0)
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arg0 = torch.ones(2, 2)
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arg1 = torch.ones(2, 2)
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def fun(a, b):
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return a.div_(b)
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mb = torch_mlir.ModuleBuilder()
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with mb.capture_function("test", [arg0, arg1]) as f:
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f.returns([fun(arg0, arg1)])
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backend = refjit.CompilerBackend()
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jit_module = backend.load(backend.compile(frontend_lowering.lower_module(mb.module)))
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test_utils.compare_outputs(torch.mm, jit_module.test, arg0, arg1)
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test_utils.compare_outputs(torch.mm, jit_module.test, arg0 + 1, arg1 + 1)
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