Files
pytorch/test/dynamo/test_frame_init.py
Yuanyuan Chen fa90090735 Use dataclass features in two classes (#164221)
This PR completes two TODO items by using features of `dataclass`.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/164221
Approved by: https://github.com/Skylion007, https://github.com/mlazos

Co-authored-by: Aaron Gokaslan <aaronGokaslan@gmail.com>
2025-10-01 03:20:39 +00:00

145 lines
4.5 KiB
Python

# Owner(s): ["module: dynamo"]
import torch
import torch._dynamo.test_case
from torch._C._dynamo.eval_frame import set_eval_frame
from torch._dynamo.types import ConvertFrameReturn, GuardedCode, wrap_guarded_code
from torch._guards import CompileId
def target_with_varkwargs(arg1, /, positional_only_arg, *, keyword_only_arg, **kwargs):
local = 1
return {
"local": local,
"arg1": arg1,
"positional_only_arg": positional_only_arg,
"keyword_only_arg": keyword_only_arg,
"kwargs": kwargs,
}
def varkwargs_code1(arg1, /, positional_only_arg, *, keyword_only_arg, **kwargs):
# remove a local variable: local = 1
return {
"local": 1,
"arg1": arg1,
"positional_only_arg": positional_only_arg,
"keyword_only_arg": keyword_only_arg,
"kwargs": kwargs,
}
def varkwargs_code2(arg1, /, positional_only_arg, *, keyword_only_arg, **kwargs):
# introduce a local variable
local1 = 0
local2 = 1
return {
"local": local1 + local2,
"arg1": arg1,
"positional_only_arg": positional_only_arg,
"keyword_only_arg": keyword_only_arg,
"kwargs": kwargs,
}
def target_with_varargs(arg1, /, positional_only_arg, *varargs, **kwargs):
local = 1
return {
"local": local,
"arg1": arg1,
"positional_only_arg": positional_only_arg,
"varargs": varargs,
"kwargs": kwargs,
}
def varargs_code1(arg1, /, positional_only_arg, *varargs, **kwargs):
# remove a local variable: local = 1
return {
"local": 1,
"arg1": arg1,
"positional_only_arg": positional_only_arg,
"varargs": varargs,
"kwargs": kwargs,
}
def varargs_code2(arg1, /, positional_only_arg, *varargs, **kwargs):
# introduce a local variable
local1 = 0
local2 = 1
return {
"local": local1 + local2,
"arg1": arg1,
"positional_only_arg": positional_only_arg,
"varargs": varargs,
"kwargs": kwargs,
}
class FrameInitTests(torch._dynamo.test_case.TestCase):
def test_frame_init(self):
code_map1 = {
target_with_varargs.__code__: varargs_code1.__code__,
target_with_varkwargs.__code__: varkwargs_code1.__code__,
}
code_map2 = {
target_with_varargs.__code__: varargs_code2.__code__,
target_with_varkwargs.__code__: varkwargs_code2.__code__,
}
empty_guard_manager = torch._dynamo.guards.GuardManagerWrapper()
def callback1(frame, cache_entry, frame_state):
if frame.f_code in code_map1:
transformed_code = code_map1[frame.f_code]
return wrap_guarded_code(
GuardedCode(
transformed_code,
empty_guard_manager,
CompileId(
frame_id=None, frame_compile_id=0, compiled_autograd_id=0
),
)
)
return ConvertFrameReturn()
def callback2(frame, cache_entry, frame_state):
if frame.f_code in code_map2:
transformed_code = code_map2[frame.f_code]
return wrap_guarded_code(
GuardedCode(
transformed_code,
empty_guard_manager,
CompileId(
frame_id=None, frame_compile_id=0, compiled_autograd_id=0
),
)
)
return ConvertFrameReturn()
for _ in [callback1, callback2]:
torch._dynamo.reset()
expected_varargs_output = target_with_varargs(
1, 2, 3, 4, name1=1, name2=2, name3=3
)
expected_kwargs_output = target_with_varkwargs(
1, 2, keyword_only_arg=1, name2=2, name3=3
)
original = set_eval_frame(callback1)
real_varargs_output = target_with_varargs(
1, 2, 3, 4, name1=1, name2=2, name3=3
)
real_kwargs_output = target_with_varkwargs(
1, 2, keyword_only_arg=1, name2=2, name3=3
)
self.assertEqual(real_varargs_output, expected_varargs_output)
self.assertEqual(real_kwargs_output, expected_kwargs_output)
set_eval_frame(original)
if __name__ == "__main__":
from torch._dynamo.test_case import run_tests
run_tests()