Files
2026-07-13 12:40:42 +08:00

124 lines
3.7 KiB
Python

# Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import unittest
import numpy as np
from get_test_cover_info import (
XPUOpTestWrapper,
create_test_class,
get_xpu_op_support_types,
)
from op_test_xpu import XPUOpTest
import paddle
paddle.enable_static()
def ref_complex(x, y):
return x + 1j * y
class XPUTestComplexOp(XPUOpTestWrapper):
def __init__(self):
self.op_name = 'complex'
self.use_dynamic_create_class = False
class TestComplexOp(XPUOpTest):
def setUp(self):
self.op_type = "complex"
self.python_api = paddle.complex
self.init_spec()
self.init_type()
x = np.random.randn(*self.x_shape).astype(self.dtype)
y = np.random.randn(*self.y_shape).astype(self.dtype)
out_ref = ref_complex(x, y)
self.inputs = {'X': x, 'Y': y}
self.outputs = {'Out': out_ref}
def test_check_output(self):
if paddle.is_compiled_with_xpu():
place = paddle.XPUPlace(0)
self.check_output_with_place(place)
def test_check_grad(self):
if paddle.is_compiled_with_xpu():
place = paddle.XPUPlace(0)
self.check_grad_with_place(place, ['X', 'Y'], 'Out')
def test_check_grad_ignore_x(self):
if paddle.is_compiled_with_xpu():
place = paddle.XPUPlace(0)
self.check_grad_with_place(
place, ['Y'], 'Out', no_grad_set=set("X")
)
def test_check_grad_ignore_y(self):
if paddle.is_compiled_with_xpu():
place = paddle.XPUPlace(0)
self.check_grad_with_place(
place, ['X'], 'Out', no_grad_set=set("Y")
)
def init_type(self):
self.dtype = self.in_type
def init_spec(self):
self.x_shape = [10, 10]
self.y_shape = [10, 10]
class TestComplexOpBroadcast1(TestComplexOp):
def init_spec(self):
self.x_shape = [10, 3, 1, 4]
self.y_shape = [100, 1]
class TestComplexOpBroadcast2(TestComplexOp):
def init_spec(self):
self.x_shape = [100, 1]
self.y_shape = [10, 3, 1, 4]
class TestComplexOpBroadcast3(TestComplexOp):
def init_spec(self):
self.x_shape = [1, 100]
self.y_shape = [100]
class TestComplexOpZeroSize1(TestComplexOp):
def init_spec(self):
self.x_shape = [0, 3, 1, 4]
self.y_shape = [1, 1]
class TestComplexOpZeroSize2(TestComplexOp):
def init_spec(self):
self.x_shape = [10, 0]
self.y_shape = [10, 0]
class TestComplexOpZeroSize3(TestComplexOp):
def init_spec(self):
self.x_shape = [3, 0, 1, 4]
self.y_shape = [1, 1]
class TestComplexOpZeroSize4(TestComplexOp):
def init_spec(self):
self.x_shape = [1, 1]
self.y_shape = [10, 3, 0, 4]
support_types = get_xpu_op_support_types('complex')
for stype in support_types:
create_test_class(globals(), XPUTestComplexOp, stype)
if __name__ == "__main__":
unittest.main()