API/OP(sequence_first_step, sequence_last_step, sequence_mask, beam_search, beam_search_decode) error message enhancement (#24590)
jinyuKING
5 years ago
committed by
GitHub
parent
0c85fd0a1b
commit
6ca44cbaa3
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# Copyright (c) 2018 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 paddle.fluid as fluid
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from paddle.fluid.framework import convert_np_dtype_to_dtype_, Program, program_guard
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import paddle.fluid.core as core
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import numpy as np
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import copy
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import unittest
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import sys
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sys.path.append("../")
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from op_test import OpTest
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class TestSequenceFirstStepOpError(unittest.TestCase):
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def test_errors(self):
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with program_guard(Program(), Program()):
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def test_Variable():
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# the input must be Variable
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input_data = np.random.randint(1, 5, [4]).astype("int64")
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fluid.layers.sequence_last_step(input_data)
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self.assertRaises(TypeError, test_Variable)
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def test_input_dtype():
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# the dtype of input must be int64
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type_data = fluid.layers.data(
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name='type_data',
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shape=[7, 1],
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append_batch_size=False,
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dtype='int64',
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lod_level=1)
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fluid.layers.sequence_last_step(type_data)
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self.assertRaises(TypeError, test_input_dtype)
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if __name__ == '__main__':
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unittest.main()
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# Copyright (c) 2018 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 paddle.fluid as fluid
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from paddle.fluid.framework import convert_np_dtype_to_dtype_, Program, program_guard
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import paddle.fluid.core as core
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import numpy as np
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import copy
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import unittest
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import sys
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sys.path.append("../")
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from op_test import OpTest
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class TestSequenceLastStepOpError(unittest.TestCase):
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def test_errors(self):
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with program_guard(Program(), Program()):
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def test_Variable():
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# the input must be Variable
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input_data = np.random.randint(1, 5, [4]).astype("int64")
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fluid.layers.sequence_last_step(input_data)
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self.assertRaises(TypeError, test_Variable)
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def test_input_dtype():
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# the dtype of input must be int64
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type_data = fluid.layers.data(
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name='type_data',
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shape=[7, 1],
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append_batch_size=False,
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dtype='int64',
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lod_level=1)
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fluid.layers.sequence_last_step(type_data)
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self.assertRaises(TypeError, test_input_dtype)
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if __name__ == '__main__':
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unittest.main()
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