wehub-resource-sync
158 lines
4.9 KiB
Python
158 lines
4.9 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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from paddle import static
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from paddle.base import dygraph
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paddle.enable_static()
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def ref_view_as_complex(x):
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real, imag = np.take(x, 0, axis=-1), np.take(x, 1, axis=-1)
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return real + 1j * imag
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def ref_view_as_real(x):
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return np.stack([x.real, x.imag], -1)
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class XPUTestAsComplexOp(XPUOpTestWrapper):
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def __init__(self):
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self.op_name = 'as_complex'
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self.use_dynamic_create_class = False
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class TestViewAsComplexOp(XPUOpTest):
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def setUp(self):
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self.op_type = "as_complex"
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self.python_api = paddle.as_complex
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x = np.random.randn(10, 10, 2).astype("float32")
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out_ref = ref_view_as_complex(x)
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self.inputs = {'X': x}
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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(
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place,
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['X'],
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'Out',
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)
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class XPUTestAsRealOp(XPUOpTestWrapper):
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def __init__(self):
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self.op_name = 'as_real'
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self.use_dynamic_create_class = False
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class TestViewAsRealOp(XPUOpTest):
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def setUp(self):
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self.op_type = "as_real"
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real = np.random.randn(10, 10).astype("float32")
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imag = np.random.randn(10, 10).astype("float32")
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x = real + 1j * imag
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out_ref = ref_view_as_real(x)
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self.inputs = {'X': x}
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self.outputs = {'Out': out_ref}
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self.python_api = paddle.as_real
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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(
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place,
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['X'],
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'Out',
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)
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support_types = get_xpu_op_support_types('as_complex')
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for stype in support_types:
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create_test_class(globals(), XPUTestAsComplexOp, stype)
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support_types = get_xpu_op_support_types('as_real')
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for stype in support_types:
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create_test_class(globals(), XPUTestAsRealOp, stype)
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class TestViewAsComplexAPI(unittest.TestCase):
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def setUp(self):
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self.x = np.random.randn(10, 10, 2)
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self.out = ref_view_as_complex(self.x)
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def test_dygraph(self):
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with dygraph.guard():
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x = paddle.to_tensor(self.x)
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out_np = paddle.as_complex(x).numpy()
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np.testing.assert_allclose(self.out, out_np, rtol=1e-05)
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def test_static(self):
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mp, sp = static.Program(), static.Program()
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with static.program_guard(mp, sp):
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x = static.data("x", shape=[10, 10, 2], dtype="float64")
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out = paddle.as_complex(x)
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exe = static.Executor()
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exe.run(sp)
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[out_np] = exe.run(mp, feed={"x": self.x}, fetch_list=[out])
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np.testing.assert_allclose(self.out, out_np, rtol=1e-05)
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class TestViewAsRealAPI(unittest.TestCase):
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def setUp(self):
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self.x = np.random.randn(10, 10) + 1j * np.random.randn(10, 10)
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self.out = ref_view_as_real(self.x)
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def test_dygraph(self):
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with dygraph.guard():
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x = paddle.to_tensor(self.x)
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out_np = paddle.as_real(x).numpy()
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np.testing.assert_allclose(self.out, out_np, rtol=1e-05)
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def test_static(self):
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mp, sp = static.Program(), static.Program()
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with static.program_guard(mp, sp):
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x = static.data("x", shape=[10, 10], dtype="complex128")
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out = paddle.as_real(x)
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exe = static.Executor()
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exe.run(sp)
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[out_np] = exe.run(mp, feed={"x": self.x}, fetch_list=[out])
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np.testing.assert_allclose(self.out, out_np, rtol=1e-05)
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if __name__ == "__main__":
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unittest.main()
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