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

57 lines
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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
import paddle
class TestFromNumpy(unittest.TestCase):
def setUp(self):
self.shape = [3, 4, 5]
self.dtypes = [
"bool",
"float16",
"float32",
"float64",
"int8",
"int16",
"int32",
"int64",
"uint8",
"complex64",
"complex128",
]
def prepare_data(self, dtype):
if dtype == "bool":
return np.random.randint(0, 2, self.shape).astype(dtype)
else:
return np.random.randn(*self.shape).astype(dtype)
def test_base(self):
for dtype in self.dtypes:
np_data = self.prepare_data(dtype)
tensor = paddle.from_numpy(np_data)
np.testing.assert_allclose(tensor.numpy(), np_data)
def test_exception(self):
self.assertRaises(TypeError, paddle.from_numpy, [1, 2, 3])
if __name__ == "__main__":
unittest.main()