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# Owner(s): ["module: dynamo"]
import importlib
import os
import sys
import types
from contextlib import contextmanager
import torch
import torch._dynamo
g_tensor_export = torch.ones(10)
tensor_for_import_testing = torch.ones(10, 10)
def inner_func():
return torch.is_grad_enabled()
def outer_func(func):
def wrapped(*args):
a = func(*args)
torch._dynamo.graph_break()
return torch.sin(a + 1), inner_func()
return wrapped
# Create a dummy python module and function to test skipfiles rules.
module_code = """
def add(x):
return x + 1
"""
def add(x):
return x + 1
def create_dummy_module_and_function():
module = types.ModuleType("dummy_module")
module.__spec__ = importlib.machinery.ModuleSpec(
"dummy_module", None, origin=os.path.abspath(__file__)
)
exec(module_code, module.__dict__)
sys.modules["dummy_module"] = module
# Need to override the original function since its __code__.co_filename is not a regular python file name,
# and the skipfiles rules use filename when checking SKIP_DIRS.
module.add = add
return module, module.add
@contextmanager
def install_guard_manager_testing_hook(hook_fn):
old_value = torch._dynamo.guards.guard_manager_testing_hook_fn
try:
torch._dynamo.guards.guard_manager_testing_hook_fn = hook_fn
yield
finally:
torch._dynamo.guards.guard_manager_testing_hook_fn = old_value
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