forked from mindspore-Ecosystem/mindspore
334 lines
6.8 KiB
Python
334 lines
6.8 KiB
Python
# Copyright 2022 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 graph hasattr"""
|
|
|
|
import numpy as np
|
|
|
|
import mindspore.nn as nn
|
|
from mindspore import Tensor, ms_function, ms_class, context
|
|
|
|
context.set_context(mode=context.GRAPH_MODE)
|
|
|
|
|
|
def test_hasattr_tensor():
|
|
"""
|
|
Feature: Syntax hasattr.
|
|
Description: Graph syntax hasattr support tensor input.
|
|
Expectation: No exception.
|
|
"""
|
|
|
|
@ms_function
|
|
def foo(x):
|
|
return hasattr(x, "abs")
|
|
|
|
assert foo(Tensor([-1, -2, -3]))
|
|
|
|
|
|
def test_hasattr_tensor_2():
|
|
"""
|
|
Feature: Syntax hasattr.
|
|
Description: Graph syntax hasattr support tensor input.
|
|
Expectation: No exception.
|
|
"""
|
|
|
|
@ms_function
|
|
def foo(x):
|
|
return hasattr(x, "abs2")
|
|
|
|
assert not foo(Tensor([-1, -2, -3]))
|
|
|
|
|
|
def test_hasattr_list():
|
|
"""
|
|
Feature: Syntax hasattr.
|
|
Description: Graph syntax hasattr support list input.
|
|
Expectation: No exception.
|
|
"""
|
|
|
|
@ms_function
|
|
def foo():
|
|
x = [1, 2, 3, 4]
|
|
attr = "__" + "len" + "__"
|
|
return hasattr(x, attr)
|
|
|
|
assert foo()
|
|
|
|
|
|
def test_hasattr_list_2():
|
|
"""
|
|
Feature: Syntax hasattr.
|
|
Description: Graph syntax hasattr support list input.
|
|
Expectation: No exception.
|
|
"""
|
|
|
|
@ms_function
|
|
def foo():
|
|
x = [1, 2, 3, 4]
|
|
attr = "__" + "len2" + "__"
|
|
return hasattr(x, attr)
|
|
|
|
assert not foo()
|
|
|
|
|
|
def test_hasattr_tuple():
|
|
"""
|
|
Feature: Syntax hasattr.
|
|
Description: Graph syntax hasattr support tuple input.
|
|
Expectation: No exception.
|
|
"""
|
|
|
|
@ms_function
|
|
def foo():
|
|
x = (1, 2, 3, 4)
|
|
attr = "__" + "len" + "__"
|
|
return hasattr(x, attr)
|
|
|
|
assert foo()
|
|
|
|
|
|
def test_hasattr_tuple_2():
|
|
"""
|
|
Feature: Syntax hasattr.
|
|
Description: Graph syntax hasattr support tuple input.
|
|
Expectation: No exception.
|
|
"""
|
|
|
|
@ms_function
|
|
def foo():
|
|
x = (1, 2, 3, 4)
|
|
attr = "__" + "len2" + "__"
|
|
return hasattr(x, attr)
|
|
|
|
assert not foo()
|
|
|
|
|
|
def test_hasattr_dict():
|
|
"""
|
|
Feature: Syntax hasattr.
|
|
Description: Graph syntax hasattr support dict input.
|
|
Expectation: No exception.
|
|
"""
|
|
|
|
@ms_function
|
|
def foo():
|
|
x = {"1": 1, "2": 2}
|
|
attr = "__" + "len" + "__"
|
|
return hasattr(x, attr)
|
|
|
|
assert foo()
|
|
|
|
|
|
def test_hasattr_dict_2():
|
|
"""
|
|
Feature: Syntax hasattr.
|
|
Description: Graph syntax hasattr support dict input.
|
|
Expectation: No exception.
|
|
"""
|
|
|
|
@ms_function
|
|
def foo():
|
|
x = {"1": 1, "2": 2}
|
|
attr = "__" + "len2" + "__"
|
|
return hasattr(x, attr)
|
|
|
|
assert not foo()
|
|
|
|
|
|
@ms_class
|
|
class MSClass1:
|
|
def __init__(self):
|
|
self.num0 = Tensor(0)
|
|
self.num1 = Tensor(1)
|
|
self.num2 = Tensor(2)
|
|
self.num3 = Tensor(3)
|
|
self.none = None
|
|
|
|
|
|
def test_hasattr_ms_class():
|
|
"""
|
|
Feature: Syntax hasattr.
|
|
Description: Graph syntax hasattr support ms_class input.
|
|
Expectation: No exception.
|
|
"""
|
|
ms_obj = MSClass1()
|
|
|
|
@ms_function
|
|
def foo():
|
|
return hasattr(ms_obj, "num1")
|
|
|
|
assert foo()
|
|
|
|
|
|
def test_hasattr_ms_class_2():
|
|
"""
|
|
Feature: Syntax hasattr.
|
|
Description: Graph syntax hasattr support ms_class input.
|
|
Expectation: No exception.
|
|
"""
|
|
ms_obj = MSClass1()
|
|
|
|
@ms_function
|
|
def foo():
|
|
return hasattr(ms_obj, "none")
|
|
|
|
assert foo()
|
|
|
|
|
|
def test_hasattr_ms_class_3():
|
|
"""
|
|
Feature: Syntax hasattr.
|
|
Description: Graph syntax hasattr support ms_class input.
|
|
Expectation: No exception.
|
|
"""
|
|
ms_obj = MSClass1()
|
|
|
|
@ms_function
|
|
def foo():
|
|
return hasattr(ms_obj, "none2")
|
|
|
|
assert not foo()
|
|
|
|
|
|
def test_hasattr_ms_class_with_concate_attr():
|
|
"""
|
|
Feature: Syntax hasattr.
|
|
Description: Graph syntax hasattr support ms_class input.
|
|
Expectation: No exception.
|
|
"""
|
|
ms_obj = MSClass1()
|
|
|
|
@ms_function
|
|
def foo():
|
|
ret = 0
|
|
nums = ["0", "1", "2", "3", "4"]
|
|
for i in range(5):
|
|
attr_str = "num" + nums[i]
|
|
if hasattr(ms_obj, attr_str):
|
|
ret = ret + 1
|
|
return ret
|
|
|
|
out = foo()
|
|
assert out == 4
|
|
|
|
|
|
class Net(nn.Cell):
|
|
|
|
def __init__(self):
|
|
super(Net, self).__init__()
|
|
self.a0 = Tensor([0])
|
|
self.a1 = Tensor([1])
|
|
self.a2 = Tensor([2])
|
|
self.a3 = Tensor([3])
|
|
self.none = None
|
|
|
|
def construct(self):
|
|
return self.a0
|
|
|
|
|
|
def test_hasattr_cell_obj():
|
|
"""
|
|
Feature: Syntax hasattr.
|
|
Description: Graph syntax hasattr support cell object input.
|
|
Expectation: No exception.
|
|
"""
|
|
cell_obj = Net()
|
|
|
|
@ms_function
|
|
def foo():
|
|
return hasattr(cell_obj, "a0")
|
|
|
|
assert foo()
|
|
|
|
|
|
def test_hasattr_cell_obj_2():
|
|
"""
|
|
Feature: Syntax hasattr.
|
|
Description: Graph syntax hasattr support cell object input.
|
|
Expectation: No exception.
|
|
"""
|
|
cell_obj = Net()
|
|
|
|
@ms_function
|
|
def foo():
|
|
return hasattr(cell_obj, "none")
|
|
|
|
assert foo()
|
|
|
|
|
|
def test_hasattr_cell_obj_3():
|
|
"""
|
|
Feature: Syntax hasattr.
|
|
Description: Graph syntax hasattr support cell object input.
|
|
Expectation: No exception.
|
|
"""
|
|
cell_obj = Net()
|
|
|
|
@ms_function
|
|
def foo():
|
|
return hasattr(cell_obj, "none2")
|
|
|
|
assert not foo()
|
|
|
|
|
|
def test_hasattr_cell_obj_concate_input():
|
|
"""
|
|
Feature: Syntax hasattr.
|
|
Description: Graph syntax hasattr support cell object input.
|
|
Expectation: No exception.
|
|
"""
|
|
cell_obj = Net()
|
|
|
|
@ms_function
|
|
def foo():
|
|
a = 0
|
|
attrs = ["0", "1", "2", "3", "4"]
|
|
for attr in attrs:
|
|
if hasattr(cell_obj, "a" + attr):
|
|
a = a + 1
|
|
return a
|
|
|
|
out = foo()
|
|
assert out == 4
|
|
|
|
|
|
def test_hasattr_numpy_array():
|
|
"""
|
|
Feature: Syntax hasattr.
|
|
Description: Graph syntax hasattr support numpy array input.
|
|
Expectation: TypeError
|
|
"""
|
|
|
|
@ms_function
|
|
def foo():
|
|
x = np.array([1, 2, 3, 4])
|
|
return hasattr(x, "shape")
|
|
|
|
assert foo()
|
|
|
|
|
|
def test_hasattr_numpy_array_2():
|
|
"""
|
|
Feature: Syntax hasattr.
|
|
Description: Graph syntax hasattr support numpy array input.
|
|
Expectation: TypeError
|
|
"""
|
|
|
|
@ms_function
|
|
def foo():
|
|
x = np.array([1, 2, 3, 4])
|
|
return hasattr(x, "shape2")
|
|
|
|
assert not foo()
|