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.
|
|
# See https://llvm.org/LICENSE.txt for license information.
|
|
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
|
|
# Also available under a BSD-style license. See LICENSE.
|
|
|
|
# RUN: %PYTHON %s | FileCheck %s
|
|
|
|
from typing import List
|
|
|
|
import torch
|
|
import torch._dynamo as dynamo
|
|
from torch_mlir.dynamo import make_simple_dynamo_backend
|
|
from torch_mlir_e2e_test.debug.lockstep import make_lockstep_debug_backend
|
|
|
|
|
|
@make_simple_dynamo_backend
|
|
@make_lockstep_debug_backend()
|
|
def miscompile_div_as_mul_backend(gm: torch.fx.GraphModule,
|
|
example_inputs: List[torch.Tensor]):
|
|
# Copy `gm` and rewrite `div` to `mul`.
|
|
new_g = torch.fx.Graph()
|
|
new_g.output(new_g.graph_copy(gm.graph, {}))
|
|
for node in new_g.nodes:
|
|
if node.op == "call_function":
|
|
if node.target == torch.ops.aten.div:
|
|
node.target = torch.ops.aten.mul
|
|
new_gm = torch.fx.GraphModule(torch.nn.Module(), new_g)
|
|
return new_gm
|
|
|
|
|
|
# TODO: As we get smarter about making this output more readable, we should
|
|
# have more focused tests rather than this "check the exact output" test.
|
|
# CHECK: User result tensor([ 4., 10., 18.]) is not close to golden result tensor([0.2500, 0.4000, 0.5000]) for node div at
|
|
# CHECK-SAME: File "{{.*}}python/test/debug/lockstep_basic.py", line {{.*}}, in f
|
|
# CHECK-NEXT: c = x / y
|
|
@dynamo.optimize(miscompile_div_as_mul_backend)
|
|
def f(x, y):
|
|
a = x * y
|
|
b = x + y
|
|
c = x / y
|
|
return a, b, c
|
|
|
|
|
|
args = (torch.tensor([1., 2., 3.]), torch.tensor([4., 5., 6.]))
|
|
try:
|
|
print(f(*args))
|
|
except AssertionError as e:
|
|
print(e)
|