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【Fix PIR Unittest BUAA】fix part test_where_op.py #66399

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merged 1 commit into from
Jul 24, 2024
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【Fix PIR Unittest BUAA】fix part test_where_op.py #66399

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87 changes: 57 additions & 30 deletions test/deprecated/legacy_test/test_where_op.py
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Original file line number Diff line number Diff line change
Expand Up @@ -140,19 +140,24 @@ def test_api(self, use_cuda=False):
cond = paddle.static.data(
name='cond', shape=[-1] + self.shape, dtype='bool'
)
cond.desc.set_need_check_feed(False)
if not paddle.framework.use_pir_api():
cond.desc.set_need_check_feed(False)
x = paddle.static.data(
name='x', shape=[-1] + self.shape, dtype='float32'
)
x.desc.set_need_check_feed(False)
if not paddle.framework.use_pir_api():
x.desc.set_need_check_feed(False)
y = paddle.static.data(
name='y', shape=[-1] + self.shape, dtype='float32'
)
y.desc.set_need_check_feed(False)
if not paddle.framework.use_pir_api():
y.desc.set_need_check_feed(False)
x.stop_gradient = x_stop_gradient
x.desc.set_need_check_feed(False)
if not paddle.framework.use_pir_api():
x.desc.set_need_check_feed(False)
y.stop_gradient = y_stop_gradient
y.desc.set_need_check_feed(False)
if not paddle.framework.use_pir_api():
y.desc.set_need_check_feed(False)
result = paddle.where(cond, x, y)
result.stop_gradient = False
append_backward(paddle.mean(result))
Expand All @@ -163,29 +168,46 @@ def test_api(self, use_cuda=False):
base.CUDAPlace(0) if use_cuda else base.CPUPlace()
)
exe = base.Executor(place)
fetch_list = [result, result.grad_name]
if x_stop_gradient is False:
fetch_list.append(x.grad_name)
if y_stop_gradient is False:
fetch_list.append(y.grad_name)
out = exe.run(
paddle.static.default_main_program(),
feed={'cond': self.cond, 'x': self.x, 'y': self.y},
fetch_list=fetch_list,
)
np.testing.assert_array_equal(out[0], self.out)
if x_stop_gradient is False:
np.testing.assert_array_equal(
out[2], self.ref_x_backward(out[1])
if paddle.framework.use_pir_api():
fetch_list = [result]
out = exe.run(
paddle.static.default_main_program(),
feed={
'cond': self.cond,
'x': self.x,
'y': self.y,
},
fetch_list=fetch_list,
)
if y.stop_gradient is False:
np.testing.assert_array_equal(out[0], self.out)
else:
fetch_list = [result, result.grad_name]
if x_stop_gradient is False:
fetch_list.append(x.grad_name)
if y_stop_gradient is False:
fetch_list.append(y.grad_name)
out = exe.run(
paddle.static.default_main_program(),
feed={
'cond': self.cond,
'x': self.x,
'y': self.y,
},
fetch_list=fetch_list,
)
np.testing.assert_array_equal(out[0], self.out)
if x_stop_gradient is False:
np.testing.assert_array_equal(
out[3], self.ref_y_backward(out[1])
out[2], self.ref_x_backward(out[1])
)
if y.stop_gradient is False:
np.testing.assert_array_equal(
out[3], self.ref_y_backward(out[1])
)
elif y.stop_gradient is False:
np.testing.assert_array_equal(
out[2], self.ref_y_backward(out[1])
)
elif y.stop_gradient is False:
np.testing.assert_array_equal(
out[2], self.ref_y_backward(out[1])
)

def test_pir_api(self, use_cuda=False):
for x_stop_gradient in [False, True]:
Expand Down Expand Up @@ -756,7 +778,8 @@ def test_where_condition(self):
data = np.array([[True, False], [False, True]])
with program_guard(Program(), Program()):
x = paddle.static.data(name='x', shape=[(-1), 2], dtype='float32')
x.desc.set_need_check_feed(False)
if not paddle.framework.use_pir_api():
x.desc.set_need_check_feed(False)
y = paddle.where(x)
self.assertEqual(type(y), tuple)
self.assertEqual(len(y), 2)
Expand All @@ -770,7 +793,8 @@ def test_where_condition(self):
data = np.array([True, True, False])
with program_guard(Program(), Program()):
x = paddle.static.data(name='x', shape=[(-1)], dtype='float32')
x.desc.set_need_check_feed(False)
if not paddle.framework.use_pir_api():
x.desc.set_need_check_feed(False)
y = paddle.where(x)
self.assertEqual(type(y), tuple)
self.assertEqual(len(y), 1)
Expand Down Expand Up @@ -808,15 +832,18 @@ def test_type():
x = paddle.static.data(
name='x', shape=[-1, 4], dtype='bool'
)
x.desc.set_need_check_feed(False)
if not paddle.framework.use_pir_api():
x.desc.set_need_check_feed(False)
y = paddle.static.data(
name='y', shape=[-1, 4], dtype='float16'
)
y.desc.set_need_check_feed(False)
if not paddle.framework.use_pir_api():
y.desc.set_need_check_feed(False)
cond = paddle.static.data(
name='cond', shape=[-1, 4], dtype='int32'
)
cond.desc.set_need_check_feed(False)
if not paddle.framework.use_pir_api():
cond.desc.set_need_check_feed(False)
paddle.where(cond, x, y)

self.assertRaises(TypeError, test_type)
Expand Down