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Merged
merged 2 commits into from
Aug 11, 2025
Merged

Decrator for paddle.ones to support *size usage #74494

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1514449
some create api support more usage
zhwesky2010 Aug 8, 2025
3676902
Merge branch 'develop' of https://github.com/PaddlePaddle/Paddle into…
zhwesky2010 Aug 11, 2025
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3 changes: 2 additions & 1 deletion python/paddle/tensor/creation.py
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Original file line number Diff line number Diff line change
Expand Up @@ -24,7 +24,7 @@

import paddle
from paddle import _C_ops
from paddle.utils.decorator_utils import ParamAliasDecorator
from paddle.utils.decorator_utils import ParamAliasDecorator, SizeArgsDecorator
from paddle.utils.inplace_utils import inplace_apis_in_dygraph_only

from ..base.data_feeder import (
Expand Down Expand Up @@ -1241,6 +1241,7 @@ def fill_constant(
return out


@SizeArgsDecorator()
def ones(
shape: ShapeLike, dtype: DTypeLike | None = None, name: str | None = None
) -> paddle.Tensor:
Expand Down
26 changes: 26 additions & 0 deletions python/paddle/utils/decorator_utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -89,3 +89,29 @@ def process(
f"Cannot specify both '{original}' and its alias '{alias}'"
)
return args, processed_kwargs


# *size => shape decorator
class SizeArgsDecorator(DecoratorBase):
"""
Usage Example:

paddle.ones(1, dtype=paddle.float32)
paddle.ones(1, 2, 3, dtype=paddle.float32)
paddle.ones([1, 2, 3], dtype=paddle.float32)
paddle.ones(size=[1, 2, 3], dtype=paddle.float32)

paddle.ones([1, 2, 3], paddle.float32)
paddle.ones(shape=[1, 2, 3], dtype=paddle.float32)
"""

def process(
self, args: tuple[Any, ...], kwargs: dict[str, Any]
) -> tuple[tuple[Any, ...], dict[str, Any]]:
if 'size' in kwargs:
kwargs['shape'] = kwargs.pop('size')
elif len(args) >= 1 and isinstance(args[0], int):
kwargs['shape'] = list(args)
args = ()

return args, kwargs
101 changes: 92 additions & 9 deletions test/legacy_test/test_ones_op.py
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Original file line number Diff line number Diff line change
Expand Up @@ -20,38 +20,121 @@


class ApiOnesTest(unittest.TestCase):
def test_paddle_ones(self):
def test_static_ones(self):
paddle.enable_static()
with paddle.static.program_guard(paddle.static.Program()):
ones = paddle.ones(10, dtype=paddle.float32)
place = paddle.CPUPlace()
exe = paddle.static.Executor(place)
(result,) = exe.run(fetch_list=[ones])
expect = np.ones([10], dtype="float32")
np.testing.assert_equal(result, expect)

with paddle.static.program_guard(paddle.static.Program()):
ones = paddle.ones(10, 2, 3, dtype=paddle.float32)
place = paddle.CPUPlace()
exe = paddle.static.Executor(place)
(result,) = exe.run(fetch_list=[ones])
expect = np.ones([10, 2, 3], dtype="float32")
np.testing.assert_equal(result, expect)

with paddle.static.program_guard(paddle.static.Program()):
ones = paddle.ones([10, 2, 3], dtype=paddle.float32)
place = paddle.CPUPlace()
exe = paddle.static.Executor(place)
(result,) = exe.run(fetch_list=[ones])
expect = np.ones([10, 2, 3], dtype="float32")
np.testing.assert_equal(result, expect)

with paddle.static.program_guard(paddle.static.Program()):
ones = paddle.ones(size=[10, 2, 3], dtype=paddle.float32)
place = paddle.CPUPlace()
exe = paddle.static.Executor(place)
(result,) = exe.run(fetch_list=[ones])
expect = np.ones([10, 2, 3], dtype="float32")
np.testing.assert_equal(result, expect)

with paddle.static.program_guard(paddle.static.Program()):
ones = paddle.ones([10, 2, 3], paddle.float32)
place = paddle.CPUPlace()
exe = paddle.static.Executor(place)
(result,) = exe.run(fetch_list=[ones])
expect = np.ones([10, 2, 3], dtype="float32")
np.testing.assert_equal(result, expect)

with paddle.static.program_guard(paddle.static.Program()):
ones = paddle.ones([10, 2, 3], paddle.float32)
place = paddle.CPUPlace()
exe = paddle.static.Executor(place)
(result,) = exe.run(fetch_list=[ones])
expect = np.ones([10, 2, 3], dtype="float32")
np.testing.assert_equal(result, expect)

with paddle.static.program_guard(paddle.static.Program()):
ones = paddle.ones(shape=[10, 2, 3], dtype=paddle.float32)
place = paddle.CPUPlace()
exe = paddle.static.Executor(place)
(result,) = exe.run(fetch_list=[ones])
expect = np.ones([10, 2, 3], dtype="float32")
np.testing.assert_equal(result, expect)

with paddle.static.program_guard(paddle.static.Program()):
ones = paddle.ones(shape=[10])
place = paddle.CPUPlace()
exe = paddle.static.Executor(place)
(result,) = exe.run(fetch_list=[ones])
expected_result = np.ones(10, dtype="float32")
self.assertEqual((result == expected_result).all(), True)
expect = np.ones(10, dtype="float32")
np.testing.assert_equal(result, expect)

with paddle.static.program_guard(paddle.static.Program()):
ones = paddle.ones(shape=[10], dtype="float64")
place = paddle.CPUPlace()
exe = paddle.static.Executor(place)
(result,) = exe.run(fetch_list=[ones])
expected_result = np.ones(10, dtype="float64")
self.assertEqual((result == expected_result).all(), True)
expect = np.ones(10, dtype="float64")
np.testing.assert_equal(result, expect)

with paddle.static.program_guard(paddle.static.Program()):
ones = paddle.ones(shape=[10], dtype="int64")
place = paddle.CPUPlace()
exe = paddle.static.Executor(place)
(result,) = exe.run(fetch_list=[ones])
expected_result = np.ones(10, dtype="int64")
self.assertEqual((result == expected_result).all(), True)
expect = np.ones(10, dtype="int64")
np.testing.assert_equal(result, expect)

with paddle.static.program_guard(paddle.static.Program()):
ones = paddle.ones(shape=10, dtype="int64")
place = paddle.CPUPlace()
exe = paddle.static.Executor(place)
(result,) = exe.run(fetch_list=[ones])
expected_result = np.ones(10, dtype="int64")
self.assertEqual((result == expected_result).all(), True)
expect = np.ones(10, dtype="int64")
np.testing.assert_equal(result, expect)
paddle.disable_static()

def test_dygraph_ones(self):
paddle.disable_static()
result = paddle.ones(10, dtype=paddle.float32)
expect = np.ones([10], dtype="float32")
np.testing.assert_equal(result, expect)

result = paddle.ones(10, 2, 3, dtype=paddle.float32)
expect = np.ones([10, 2, 3], dtype="float32")
np.testing.assert_equal(result, expect)

result = paddle.ones([10, 2, 3], dtype=paddle.float32)
np.testing.assert_equal(result, expect)

result = paddle.ones(size=[10, 2, 3], dtype=paddle.float32)
np.testing.assert_equal(result, expect)

result = paddle.ones([10, 2, 3], paddle.float32)
np.testing.assert_equal(result, expect)

result = paddle.ones([10, 2, 3], "float32")
np.testing.assert_equal(result, expect)

result = paddle.ones(shape=[10, 2, 3], dtype=paddle.float32)
np.testing.assert_equal(result, expect)


if __name__ == "__main__":
Expand Down