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