wehub-resource-sync
142 lines
5.0 KiB
Python
142 lines
5.0 KiB
Python
# Copyright (c) 2022 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 paddle
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class TestSearchAPIs(unittest.TestCase):
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def __init__(self, method_name='runTest'):
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super().__init__(method_name)
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self.con = None
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self.con_2D = None
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def setUp(self):
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self.con = paddle.to_tensor([0.4, 0.3, 0.6, 0.7], dtype="float32")
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self.con_2D = paddle.rand([4, 4], dtype='float32')
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def test_where_with_float16_scalar(self):
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# TODO(hanchoa): Do not support float16 with cpu.
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pass
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def test_where_with_bfloat16_scalar(self):
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# TODO(hanchoa): Do not support bfloat16 with cpu.
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pass
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def test_where_with_float32_scalar(self):
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x = paddle.to_tensor([0.0, 0.0, 0.0, 0.0], dtype="float32")
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y = paddle.to_tensor([0.1, 0.1, 0.1, 0.1], dtype="float32")
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res = paddle.where(self.con > 0.5, x, y)
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self.assertEqual(res.dtype, paddle.float32)
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res = paddle.where(self.con > 0.5, 0.5, y)
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self.assertEqual(res.dtype, paddle.float32)
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res = paddle.where(self.con > 0.5, x, 0.6)
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self.assertEqual(res.dtype, paddle.float32)
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res = paddle.where(self.con > 0.5, 0.5, 0.6)
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self.assertEqual(res.dtype, paddle.float32)
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def test_where_with_float64_scalar(self):
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x = paddle.to_tensor([0.0, 0.0, 0.0, 0.0], dtype="float64")
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y = paddle.to_tensor([0.1, 0.1, 0.1, 0.1], dtype="float64")
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res = paddle.where(self.con > 0.5, x, y)
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self.assertEqual(res.dtype, paddle.float64)
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res = paddle.where(self.con > 0.5, 0.5, y)
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self.assertEqual(res.dtype, paddle.float64)
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res = paddle.where(self.con > 0.5, x, 0.6)
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self.assertEqual(res.dtype, paddle.float64)
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res = paddle.where(self.con > 0.5, 0.5, 0.6)
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self.assertEqual(res.dtype, paddle.float32)
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def test_where_with_complex64_scalar(self):
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x = paddle.to_tensor([0.0, 0.0, 0.0, 0.0], dtype="complex64")
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y = paddle.to_tensor([0.1, 0.1, 0.1, 0.1], dtype="complex64")
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res = paddle.where(self.con > 0.5, x, y)
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self.assertEqual(res.dtype, paddle.complex64)
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res = paddle.where(self.con > 0.5, 0.5, y)
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self.assertEqual(res.dtype, paddle.complex64)
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res = paddle.where(self.con > 0.5, x, 0.6)
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self.assertEqual(res.dtype, paddle.complex64)
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res = paddle.where(self.con > 0.5, 0.5, 0.6)
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self.assertEqual(res.dtype, paddle.float32)
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@unittest.skipIf(
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paddle.is_compiled_with_xpu(),
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"XPU cast kernel does not support complex128 yet.",
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)
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def test_where_with_complex128_scalar(self):
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x = paddle.to_tensor([0.0, 0.0, 0.0, 0.0], dtype="complex128")
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y = paddle.to_tensor([0.1, 0.1, 0.1, 0.1], dtype="complex128")
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res = paddle.where(self.con > 0.5, x, y)
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self.assertEqual(res.dtype, paddle.complex128)
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res = paddle.where(self.con > 0.5, 0.5, y)
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self.assertEqual(res.dtype, paddle.complex128)
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res = paddle.where(self.con > 0.5, x, 0.6)
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self.assertEqual(res.dtype, paddle.complex128)
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res = paddle.where(self.con > 0.5, 0.5, 0.6)
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self.assertEqual(res.dtype, paddle.float32)
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def test_where_with_int_scalar(self):
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x = paddle.to_tensor([2, 2, 2, 2], dtype="int32")
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y = paddle.to_tensor([3, 3, 3, 3], dtype="int32")
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res = paddle.where(self.con > 0.5, x, y)
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self.assertEqual(res.dtype, paddle.int32)
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# TODO(hanchao): Do not support int type promotion yet.
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# res = paddle.where(self.con > 0.5, 3, y)
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# self.assertEqual(res.dtype, paddle.int32)
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# res = paddle.where(self.con > 0.5, x, 4)
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# self.assertEqual(res.dtype, paddle.int32)
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#
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# res = paddle.where(self.con > 0.5, 3, 4)
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# self.assertEqual(res.dtype, paddle.int32)
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def test_where_with_float32_scalar_2D(self):
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x = paddle.to_tensor([0.0, 0.0, 0.0, 0.0], dtype="float32")
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y = paddle.to_tensor([0.1, 0.1, 0.1, 0.1], dtype="float32")
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res = paddle.where(self.con_2D > 0.5, x, y)
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self.assertEqual(res.dtype, paddle.float32)
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res = paddle.where(self.con_2D > 0.5, 0.5, y)
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self.assertEqual(res.dtype, paddle.float32)
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res = paddle.where(self.con_2D > 0.5, x, 0.6)
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self.assertEqual(res.dtype, paddle.float32)
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res = paddle.where(self.con_2D > 0.5, 0.5, 0.6)
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self.assertEqual(res.dtype, paddle.float32)
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if __name__ == '__main__':
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unittest.main()
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