wehub-resource-sync
73 lines
2.0 KiB
Python
73 lines
2.0 KiB
Python
# Copyright (c) 2023 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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from paddle.base.layer_helper import LayerHelper
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def data():
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helper = LayerHelper('data', **locals())
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out = helper.create_variable_for_type_inference('float32')
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helper.append_op(
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type='data',
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inputs={},
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outputs={'out': out},
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attrs={
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'shape': [1, 1],
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'dtype': 0,
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'place': 0,
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'name': "x",
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},
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)
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return out
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class TestPir(unittest.TestCase):
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def test_with_pir(self):
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paddle.enable_static()
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place = paddle.CPUPlace()
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exe = paddle.static.Executor(place)
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main_program = paddle.static.Program()
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new_scope = paddle.static.Scope()
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with (
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paddle.static.scope_guard(new_scope),
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paddle.static.program_guard(main_program),
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):
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out = data()
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class TestDataOpError(unittest.TestCase):
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def test_invalid_shape(self):
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paddle.enable_static()
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place = paddle.CPUPlace()
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exe = paddle.static.Executor(place)
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main_program = paddle.static.Program()
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new_scope = paddle.static.Scope()
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with (
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paddle.static.scope_guard(new_scope),
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paddle.static.program_guard(main_program),
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self.assertRaises(ValueError),
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):
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out = paddle.static.data("x", shape=[-2, 1])
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if __name__ == "__main__":
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paddle.enable_static()
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unittest.main()
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