# Copyright (c) 2023 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 from test_case_base import TestCaseBase import paddle from paddle.nn.functional import relu def paddle_api_method_call(x: paddle.Tensor): m = x + 2 m = paddle.nn.functional.relu(m) return m def paddle_api_function_call(x: paddle.Tensor): m = x + 2 m = relu(m) return m def paddle_api_function_call_concat( x: paddle.Tensor, y: paddle.Tensor, axis: int ): return paddle.concat([x, y], axis=axis) def paddle_api_function_breakgraph_when_type_error( x: paddle.Tensor, axis: paddle.Tensor ): return paddle.nn.functional.softmax(x, axis=axis) class TestPaddleApiCall(TestCaseBase): def test_paddle_api_method_call(self): self.assert_results(paddle_api_method_call, paddle.to_tensor(2.0)) self.assert_results(paddle_api_method_call, paddle.to_tensor(-5.0)) self.assert_results(paddle_api_method_call, paddle.to_tensor(0.0)) def test_paddle_api_function_call(self): self.assert_results(paddle_api_function_call, paddle.to_tensor(2.0)) self.assert_results(paddle_api_function_call, paddle.to_tensor(-5.0)) self.assert_results(paddle_api_function_call, paddle.to_tensor(0.0)) def test_paddle_api_function_call_concat(self): a = paddle.to_tensor([[1, 2], [3, 4]]) b = paddle.to_tensor([[5, 6], [7, 8]]) self.assert_results(paddle_api_function_call_concat, a, b, 0) self.assert_results(paddle_api_function_call_concat, a, b, 1) def test_paddle_api_function_breakgraph_when_type_error(self): x = paddle.to_tensor([[1, 2], [3, 4]], dtype=paddle.float32) axis = paddle.to_tensor(1) self.assert_results( paddle_api_function_breakgraph_when_type_error, x, axis ) if __name__ == "__main__": unittest.main()