mirror of https://github.com/llvm/torch-mlir
49 lines
1.7 KiB
Python
49 lines
1.7 KiB
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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# Also available under a BSD-style license. See LICENSE.
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# RUN: %PYTHON %s | FileCheck %s
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from typing import List
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import torch
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import torch._dynamo as dynamo
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from torch_mlir.dynamo import make_simple_dynamo_backend
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from torch_mlir_e2e_test.debug.lockstep import make_lockstep_debug_backend
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@make_simple_dynamo_backend
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@make_lockstep_debug_backend()
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def miscompile_div_as_mul_backend(gm: torch.fx.GraphModule,
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example_inputs: List[torch.Tensor]):
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# Copy `gm` and rewrite `div` to `mul`.
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new_g = torch.fx.Graph()
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new_g.output(new_g.graph_copy(gm.graph, {}))
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for node in new_g.nodes:
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if node.op == "call_function":
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if node.target == torch.ops.aten.div:
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node.target = torch.ops.aten.mul
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new_gm = torch.fx.GraphModule(torch.nn.Module(), new_g)
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return new_gm
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# TODO: As we get smarter about making this output more readable, we should
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# have more focused tests rather than this "check the exact output" test.
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# CHECK: User result tensor([ 4., 10., 18.]) is not close to golden result tensor([0.2500, 0.4000, 0.5000]) for node div at Module stack: {}
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# CHECK-NEXT: File "{{.*}}python/test/debug/lockstep_basic.py", line {{.*}}, in f
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# CHECK-NEXT: c = x / y
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@dynamo.optimize(miscompile_div_as_mul_backend)
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def f(x, y):
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a = x * y
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b = x + y
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c = x / y
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return a, b, c
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args = (torch.tensor([1., 2., 3.]), torch.tensor([4., 5., 6.]))
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try:
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print(f(*args))
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except AssertionError as e:
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print(e)
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