107 lines
4.3 KiB
Python
107 lines
4.3 KiB
Python
# Copyright 2021 Huawei Technologies Co., Ltd
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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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# ============================================================================
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""" test instance"""
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import numpy as np
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import pytest
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import mindspore.nn as nn
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from mindspore import Tensor, Parameter
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from mindspore import context
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context.set_context(mode=context.GRAPH_MODE)
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def test_isinstance():
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class Net(nn.Cell):
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def __init__(self):
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super(Net, self).__init__()
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self.int_member = 1
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self.float_member = 1.0
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self.bool_member = True
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self.string_member = "abcd"
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self.tensor_member = Tensor(np.arange(4))
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self.tuple_member = (1, 1.0, True, "abcd", self.tensor_member)
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self.list_member = list(self.tuple_member)
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self.weight = Parameter(1.0)
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self.empty_list = []
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self.dict_member = {"x": Tensor(np.arange(4)), "y": Tensor(np.arange(5))}
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self.empty_dict = {}
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def construct(self, x, y):
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is_int = isinstance(self.int_member, int)
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is_float = isinstance(self.float_member, float)
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is_bool = isinstance(self.bool_member, bool)
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bool_is_int = isinstance(self.bool_member, (((int,)), float))
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is_string = isinstance(self.string_member, str)
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is_parameter = isinstance(self.weight, Parameter)
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parameter_is_tensor = isinstance(self.weight, ((Tensor, float), int))
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is_tensor_const = isinstance(self.tensor_member, Tensor)
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is_tensor_var = isinstance(x, Tensor)
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is_tuple_const = isinstance(self.tuple_member, tuple)
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is_tuple_var = isinstance((x, 1, 1.0, y), tuple)
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is_list_const = isinstance(self.list_member, list)
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is_list_var = isinstance([x, 1, 1.0, y], list)
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is_empty_list = isinstance(self.empty_list, list)
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is_dict_const = isinstance(self.dict_member, dict)
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is_dict_var = isinstance({"x": x, "y": y}, dict)
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is_empty_dic = isinstance(self.empty_dict, dict)
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is_int_or_float_or_tensor_or_tuple = isinstance(x, (Tensor, tuple, int, float))
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is_list_or_tensor = isinstance([x, y], (Tensor, list))
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float_is_int = isinstance(self.float_member, int)
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bool_is_string = isinstance(self.bool_member, str)
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tensor_is_tuple = isinstance(x, tuple)
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tuple_is_list = isinstance(self.tuple_member, list)
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return is_int, is_float, is_bool, bool_is_int, is_string, is_parameter, \
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parameter_is_tensor, is_tensor_const, is_tensor_var, \
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is_tuple_const, is_tuple_var, is_list_const, is_list_var, is_empty_list, \
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is_dict_const, is_dict_var, is_empty_dic, \
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is_int_or_float_or_tensor_or_tuple, is_list_or_tensor, \
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float_is_int, bool_is_string, tensor_is_tuple, tuple_is_list
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net = Net()
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x = Tensor(np.arange(4))
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y = Tensor(np.arange(5))
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assert net(x, y) == (True,) * 19 + (False,) * 4
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def test_isinstance_not_supported():
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class Net(nn.Cell):
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def __init__(self):
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super(Net, self).__init__()
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self.value = (11, 22, 33, 44)
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def construct(self):
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return isinstance(self.value, None)
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net = Net()
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with pytest.raises(TypeError) as err:
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net()
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assert "isinstance() arg 2 must be a type or tuple of types" in str(err.value)
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def test_isinstance_second_arg_is_list():
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class Net(nn.Cell):
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def __init__(self):
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super(Net, self).__init__()
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self.value = (11, 22, 33, 44)
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def construct(self):
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return isinstance(self.value, [tuple, int, float])
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net = Net()
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with pytest.raises(TypeError) as err:
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net()
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assert "isinstance() arg 2 must be a type or tuple of types" in str(err.value)
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