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add float16 to greater_equal #51089

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16 changes: 16 additions & 0 deletions python/paddle/fluid/tests/unittests/test_compare_op.py
Original file line number Diff line number Diff line change
Expand Up @@ -480,6 +480,22 @@ def test_api_fp16(self):
self.assertEqual((res == np.array([True, False])).all(), True)


class API_TestElementwise_Greater_Equal(unittest.TestCase):
def test_api_fp16(self):
paddle.enable_static()
with paddle.static.program_guard(
paddle.static.Program(), paddle.static.Program()
):
label = paddle.to_tensor([3, 3], dtype="float16")
limit = paddle.to_tensor([3, 2], dtype="float16")
out = paddle.greater_equal(x=label, y=limit)
if core.is_compiled_with_cuda():
place = paddle.CUDAPlace(0)
exe = paddle.static.Executor(place)
(res,) = exe.run(fetch_list=[out])
self.assertEqual((res == np.array([True, True])).all(), True)
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目前不推荐使用fluid下的API,建议:
fluid.program_guard -> paddle.static.program_guard
fluid.Executor -> paddle.static.Executor
fluid.Program() -> paddle.static.Program()



class TestCompareOpPlace(unittest.TestCase):
def test_place_1(self):
paddle.enable_static()
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8 changes: 4 additions & 4 deletions python/paddle/tensor/logic.py
Original file line number Diff line number Diff line change
Expand Up @@ -495,8 +495,8 @@ def greater_equal(x, y, name=None):
The output has no gradient.

Args:
x(Tensor): First input to compare which is N-D tensor. The input data type should be bool, float32, float64, int32, int64.
y(Tensor): Second input to compare which is N-D tensor. The input data type should be bool, float32, float64, int32, int64.
x(Tensor): First input to compare which is N-D tensor. The input data type should be bool, float16, float32, float64, int32, int64.
y(Tensor): Second input to compare which is N-D tensor. The input data type should be bool, float16, float32, float64, int32, int64.
name(str, optional): The default value is None. Normally there is no need for
user to set this property. For more information, please refer to :ref:`api_guide_Name`.
Returns:
Expand All @@ -518,13 +518,13 @@ def greater_equal(x, y, name=None):
check_variable_and_dtype(
x,
"x",
["bool", "float32", "float64", "int32", "int64"],
["bool", "float16", "float32", "float64", "int32", "int64"],
"greater_equal",
)
check_variable_and_dtype(
y,
"y",
["bool", "float32", "float64", "int32", "int64"],
["bool", "float16", "float32", "float64", "int32", "int64"],
"greater_equal",
)
helper = LayerHelper("greater_equal", **locals())
Expand Down