wehub-resource-sync
74 lines
2.4 KiB
Python
74 lines
2.4 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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from test_case_base import TestCaseBase
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import paddle
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from paddle.nn.functional import relu
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def paddle_api_method_call(x: paddle.Tensor):
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m = x + 2
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m = paddle.nn.functional.relu(m)
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return m
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def paddle_api_function_call(x: paddle.Tensor):
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m = x + 2
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m = relu(m)
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return m
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def paddle_api_function_call_concat(
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x: paddle.Tensor, y: paddle.Tensor, axis: int
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):
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return paddle.concat([x, y], axis=axis)
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def paddle_api_function_breakgraph_when_type_error(
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x: paddle.Tensor, axis: paddle.Tensor
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):
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return paddle.nn.functional.softmax(x, axis=axis)
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class TestPaddleApiCall(TestCaseBase):
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def test_paddle_api_method_call(self):
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self.assert_results(paddle_api_method_call, paddle.to_tensor(2.0))
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self.assert_results(paddle_api_method_call, paddle.to_tensor(-5.0))
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self.assert_results(paddle_api_method_call, paddle.to_tensor(0.0))
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def test_paddle_api_function_call(self):
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self.assert_results(paddle_api_function_call, paddle.to_tensor(2.0))
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self.assert_results(paddle_api_function_call, paddle.to_tensor(-5.0))
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self.assert_results(paddle_api_function_call, paddle.to_tensor(0.0))
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def test_paddle_api_function_call_concat(self):
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a = paddle.to_tensor([[1, 2], [3, 4]])
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b = paddle.to_tensor([[5, 6], [7, 8]])
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self.assert_results(paddle_api_function_call_concat, a, b, 0)
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self.assert_results(paddle_api_function_call_concat, a, b, 1)
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def test_paddle_api_function_breakgraph_when_type_error(self):
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x = paddle.to_tensor([[1, 2], [3, 4]], dtype=paddle.float32)
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axis = paddle.to_tensor(1)
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self.assert_results(
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paddle_api_function_breakgraph_when_type_error, x, axis
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)
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if __name__ == "__main__":
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unittest.main()
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