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20 changes: 12 additions & 8 deletions test/legacy_test/test_activation_op.py
Original file line number Diff line number Diff line change
Expand Up @@ -1491,6 +1491,7 @@ 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_errors(self):
with static_guard():
with paddle.static.program_guard(paddle.static.Program()):
Expand All @@ -1507,10 +1508,11 @@ def test_errors(self):
)
self.assertRaises(ValueError, F.softshrink, x_fp32, -1.0)
# support the input dtype is float16
x_fp16 = paddle.static.data(
name='x_fp16', shape=[12, 10], dtype='float16'
)
F.softshrink(x_fp16)
if core.is_compiled_with_cuda():
x_fp16 = paddle.static.data(
name='x_fp16', shape=[12, 10], dtype='float16'
)
F.softshrink(x_fp16)


class TestSqrt(TestActivation, TestParameter):
Expand Down Expand Up @@ -4307,6 +4309,7 @@ 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_errors(self):
with static_guard():
with paddle.static.program_guard(paddle.static.Program()):
Expand All @@ -4318,10 +4321,11 @@ def test_errors(self):
)
self.assertRaises(TypeError, F.softsign, x_int32)
# support the input dtype is float16
x_fp16 = paddle.static.data(
name='x_fp16', shape=[12, 10], dtype='float16'
)
F.softsign(x_fp16)
if core.is_compiled_with_cuda():
x_fp16 = paddle.static.data(
name='x_fp16', shape=[12, 10], dtype='float16'
)
F.softsign(x_fp16)


def ref_thresholded_relu(x, threshold=1.0):
Expand Down