You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
79 lines
3.1 KiB
79 lines
3.1 KiB
# Copyright 2021 Huawei Technologies Co., Ltd
|
|
#
|
|
# 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.
|
|
# ============================================================================
|
|
""" test instance"""
|
|
import numpy as np
|
|
import pytest
|
|
|
|
import mindspore.nn as nn
|
|
from mindspore import Tensor
|
|
from mindspore import context
|
|
|
|
context.set_context(mode=context.GRAPH_MODE, save_graphs=True)
|
|
|
|
|
|
def test_isinstance():
|
|
class Net(nn.Cell):
|
|
def __init__(self):
|
|
super(Net, self).__init__()
|
|
self.int_member = 1
|
|
self.float_member = 1.0
|
|
self.bool_member = True
|
|
self.string_member = "abcd"
|
|
self.tensor_member = Tensor(np.arange(4))
|
|
self.tuple_member = (1, 1.0, True, "abcd", self.tensor_member)
|
|
self.list_member = list(self.tuple_member)
|
|
|
|
def construct(self, x, y):
|
|
is_int = isinstance(self.int_member, int)
|
|
is_float = isinstance(self.float_member, float)
|
|
is_bool = isinstance(self.bool_member, bool)
|
|
is_string = isinstance(self.string_member, str)
|
|
is_tensor_const = isinstance(self.tensor_member, Tensor)
|
|
is_tensor_var = isinstance(x, Tensor)
|
|
is_tuple_const = isinstance(self.tuple_member, tuple)
|
|
is_tuple_var = isinstance((x, 1, 1.0, y), tuple)
|
|
is_list_const = isinstance(self.list_member, list)
|
|
is_list_var = isinstance([x, 1, 1.0, y], list)
|
|
is_list_or_tensor = isinstance([x, y], (Tensor, list))
|
|
is_int_or_float_or_tensor_or_tuple = isinstance(x, (Tensor, tuple, int, float))
|
|
float_is_int = isinstance(self.float_member, int)
|
|
bool_is_string = isinstance(self.bool_member, str)
|
|
tensor_is_tuple = isinstance(x, tuple)
|
|
tuple_is_list = isinstance(self.tuple_member, list)
|
|
return is_int, is_float, is_bool, is_string, is_tensor_const, is_tensor_var, \
|
|
is_tuple_const, is_tuple_var, is_list_const, is_list_var, \
|
|
is_int_or_float_or_tensor_or_tuple, is_list_or_tensor, \
|
|
float_is_int, bool_is_string, tensor_is_tuple, tuple_is_list
|
|
|
|
net = Net()
|
|
x = Tensor(np.arange(4))
|
|
y = Tensor(np.arange(5))
|
|
assert net(x, y) == (True,) * 12 + (False,) * 4
|
|
|
|
|
|
def test_isinstance_not_supported():
|
|
class Net(nn.Cell):
|
|
def __init__(self):
|
|
super(Net, self).__init__()
|
|
self.value = (11, 22, 33, 44)
|
|
|
|
def construct(self):
|
|
return isinstance(self.value, None)
|
|
|
|
net = Net()
|
|
with pytest.raises(TypeError) as err:
|
|
net()
|
|
assert "The type 'None' is not supported for 'isinstance'" in str(err.value)
|