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4 changes: 2 additions & 2 deletions python/paddle/nn/functional/activation.py
Original file line number Diff line number Diff line change
Expand Up @@ -484,7 +484,7 @@ def leaky_relu(x, negative_slope=0.01, name=None):
[-0.02000000, 0. , 1. ])

"""
if in_dynamic_mode():
if in_dynamic_or_pir_mode():
return _C_ops.leaky_relu(x, negative_slope)
else:
check_variable_and_dtype(
Expand Down Expand Up @@ -1448,7 +1448,7 @@ def swish(x, name=None):
Tensor(shape=[3], dtype=float32, place=Place(cpu), stop_gradient=True,
[-0.23840584, 0. , 0.73105860])
"""
if in_dynamic_mode():
if in_dynamic_or_pir_mode():
return _C_ops.swish(x)
else:
check_variable_and_dtype(
Expand Down
8 changes: 6 additions & 2 deletions test/legacy_test/test_activation_op.py
Original file line number Diff line number Diff line change
Expand Up @@ -2466,12 +2466,12 @@ def if_enable_cinn(self):
pass

def test_check_output(self):
self.check_output(check_prim=True)
self.check_output(check_prim=True, check_pir=True)

def test_check_grad(self):
if self.dtype == np.float16:
return
self.check_grad(['X'], 'Out', check_prim=True)
self.check_grad(['X'], 'Out', check_prim=True, check_pir=True)


class TestLeakyReluAlpha1(TestLeakyRelu):
Expand Down Expand Up @@ -2508,6 +2508,7 @@ def setUp(self):
else paddle.CPUPlace()
)

@test_with_pir_api
def test_static_api(self):
with static_guard():
with paddle.static.program_guard(paddle.static.Program()):
Expand Down Expand Up @@ -4407,6 +4408,7 @@ def test_check_grad(self):
self.check_grad(
['X'],
'Out',
check_pir=True,
)


Expand All @@ -4426,6 +4428,7 @@ def setUp(self):
else paddle.CPUPlace()
)

@test_with_pir_api
def test_static_api(self):
with static_guard():
with paddle.static.program_guard(paddle.static.Program()):
Expand All @@ -4449,6 +4452,7 @@ def test_dygraph_api(self):
for r in [out1, out2]:
np.testing.assert_allclose(out_ref, r.numpy(), rtol=1e-05)

@test_with_pir_api
def test_base_api(self):
with static_guard():
with base.program_guard(base.Program()):
Expand Down