# 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 import numpy as np from get_test_cover_info import ( XPUOpTestWrapper, create_test_class, get_xpu_op_support_types, ) from op_test_xpu import XPUOpTest import paddle paddle.enable_static() class XPUTestAssignOP(XPUOpTestWrapper): def __init__(self): self.op_name = 'assign' self.use_dynamic_create_class = False class TestAssignOPBase(XPUOpTest): def setUp(self): self.place = paddle.XPUPlace(0) self.init_dtype() self.set_case() def set_case(self): self.op_type = 'assign' self.init_config() x = np.random.random(size=self.input_shape).astype(self.dtype) self.inputs = {'X': x} self.attrs = {} self.outputs = {'Out': x} def init_dtype(self): self.dtype = self.in_type def test_check_output(self): self.check_output_with_place(self.place) def test_check_grad(self): self.check_grad_with_place(self.place, ['X'], 'Out') def init_config(self): self.input_shape = (2, 5) class XPUTestAssign1(TestAssignOPBase): def init_config(self): self.input_shape = [2, 768] class XPUTestAssign3(TestAssignOPBase): def init_config(self): self.input_shape = [1024] class XPUTestAssign4(TestAssignOPBase): def init_config(self): self.input_shape = [2, 2, 255] support_types = get_xpu_op_support_types('assign') for stype in support_types: create_test_class(globals(), XPUTestAssignOP, stype) if __name__ == "__main__": unittest.main()