wehub-resource-sync
101 lines
4.0 KiB
Python
101 lines
4.0 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 numpy as np
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from paddle.base import core
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class EagerStringTensorTestCase(unittest.TestCase):
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def setUp(self):
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self.str_arr = np.array(
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[
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[
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"15.4寸笔记本的键盘确实爽，基本跟台式机差不多了，蛮喜欢数字小键盘，输数字特方便，样子也很美观，做工也相当不错"
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], # From ChnSentiCorp
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["One of the very best Three Stooges shorts ever."],
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]
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) # From IMDB
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def test_constructor_with_args(self):
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ST1 = core.eager.StringTensor() # constructor 1
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self.assertEqual(ST1.name, "generated_string_tensor_0")
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self.assertEqual(ST1.shape, [])
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self.assertEqual(ST1.numpy(), '')
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shape = [2, 3]
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ST2 = core.eager.StringTensor(shape, "ST2") # constructor 2
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self.assertEqual(ST2.name, "ST2")
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self.assertEqual(ST2.shape, shape)
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np.testing.assert_array_equal(
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ST2.numpy(), np.empty(shape, dtype=np.str_)
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)
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ST3 = core.eager.StringTensor(self.str_arr, "ST3") # constructor 3
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self.assertEqual(ST3.name, "ST3")
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self.assertEqual(ST3.shape, list(self.str_arr.shape))
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np.testing.assert_array_equal(ST3.numpy(), self.str_arr)
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ST4 = core.eager.StringTensor(self.str_arr) # constructor 4
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self.assertEqual(ST4.name, "generated_string_tensor_1")
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self.assertEqual(ST4.shape, list(self.str_arr.shape))
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np.testing.assert_array_equal(ST4.numpy(), self.str_arr)
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ST5 = core.eager.StringTensor(ST4) # constructor 5
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self.assertEqual(ST5.name, "generated_string_tensor_2")
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self.assertEqual(ST5.shape, list(self.str_arr.shape))
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np.testing.assert_array_equal(ST5.numpy(), self.str_arr)
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ST6 = core.eager.StringTensor(ST5, "ST6") # constructor 6
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self.assertEqual(ST6.name, "ST6")
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self.assertEqual(ST6.shape, list(self.str_arr.shape))
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np.testing.assert_array_equal(ST6.numpy(), self.str_arr)
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for st in [ST1, ST2, ST3, ST4, ST5, ST6]:
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# All StringTensors are on cpu place so far.
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self.assertTrue(st.place._equals(core.CPUPlace()))
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def test_constructor_with_kwargs(self):
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shape = [2, 3]
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ST1 = core.eager.StringTensor(dims=shape, name="ST1") # constructor 2
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self.assertEqual(ST1.name, "ST1")
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self.assertEqual(ST1.shape, shape)
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np.testing.assert_array_equal(
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ST1.numpy(), np.empty(shape, dtype=np.str_)
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)
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ST2 = core.eager.StringTensor(self.str_arr, name="ST2") # constructor 3
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self.assertEqual(ST2.name, "ST2")
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self.assertEqual(ST2.shape, list(self.str_arr.shape))
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np.testing.assert_array_equal(ST2.numpy(), self.str_arr)
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ST3 = core.eager.StringTensor(ST2, name="ST3") # constructor 6
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self.assertEqual(ST3.name, "ST3")
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self.assertEqual(ST3.shape, list(self.str_arr.shape))
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np.testing.assert_array_equal(ST3.numpy(), self.str_arr)
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ST4 = core.eager.StringTensor(value=ST2, name="ST4") # constructor 6
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self.assertEqual(ST4.name, "ST4")
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self.assertEqual(ST4.shape, list(self.str_arr.shape))
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np.testing.assert_array_equal(ST4.numpy(), self.str_arr)
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for st in [ST1, ST2, ST3, ST4]:
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# All StringTensors are on cpu place so far.
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self.assertTrue(st.place._equals(core.CPUPlace()))
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if __name__ == "__main__":
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unittest.main()
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