!11376 improve isinstance function in graph mode

From: @zhangbuxue
Reviewed-by: @ginfung,@zh_qh,@zhunaipan
Signed-off-by: @zh_qh
This commit is contained in:
mindspore-ci-bot 2021-01-18 20:31:29 +08:00 committed by Gitee
commit 04dc803ea5
4 changed files with 28 additions and 7 deletions

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@ -18,7 +18,7 @@
from dataclasses import dataclass
from mindspore import Tensor
from mindspore import Tensor, Parameter
from mindspore import dtype as mstype
from ..._checkparam import Validator as validator
@ -361,10 +361,13 @@ def check_type_same(x_type, base_type):
str: mstype.String,
list: mstype.List,
tuple: mstype.Tuple,
Tensor: mstype.tensor_type
Tensor: mstype.tensor_type,
Parameter: mstype.ref_type
}
try:
if isinstance(base_type, (tuple, list)):
if isinstance(base_type, list):
raise TypeError("The second arg of 'isinstance' must be a type or a tuple of types, but got a list")
if isinstance(base_type, tuple):
target_type = tuple(pytype_to_mstype[i] for i in base_type)
else:
target_type = pytype_to_mstype[base_type]

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@ -111,6 +111,7 @@ none_type = typing.TypeNone
env_type_type = typing.EnvType
tensor_type = typing.TensorType
anything_type = typing.TypeAnything
ref_type = typing.RefType
number_type = (int8,
int16,

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@ -26,7 +26,7 @@ using ".register" decorator.
@zeros_like_leaf.register("Number")
def _zeros_like_scala(x):
def _zeros_like_scalar(x):
"""Returns 0 which has the same dtype as x where x is a scalar."""
return 0

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@ -17,7 +17,7 @@ import numpy as np
import pytest
import mindspore.nn as nn
from mindspore import Tensor
from mindspore import Tensor, Parameter
from mindspore import context
context.set_context(mode=context.GRAPH_MODE, save_graphs=True)
@ -34,12 +34,14 @@ def test_isinstance():
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)
self.weight = Parameter(1.0)
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_parameter = isinstance(self.weight, Parameter)
is_tensor_const = isinstance(self.tensor_member, Tensor)
is_tensor_var = isinstance(x, Tensor)
is_tuple_const = isinstance(self.tuple_member, tuple)
@ -52,7 +54,7 @@ def test_isinstance():
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, \
return is_int, is_float, is_bool, is_string, is_parameter, 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
@ -60,7 +62,7 @@ def test_isinstance():
net = Net()
x = Tensor(np.arange(4))
y = Tensor(np.arange(5))
assert net(x, y) == (True,) * 12 + (False,) * 4
assert net(x, y) == (True,) * 13 + (False,) * 4
def test_isinstance_not_supported():
@ -76,3 +78,18 @@ def test_isinstance_not_supported():
with pytest.raises(TypeError) as err:
net()
assert "The type 'None' is not supported for 'isinstance'" in str(err.value)
def test_isinstance_second_arg_is_list():
class Net(nn.Cell):
def __init__(self):
super(Net, self).__init__()
self.value = (11, 22, 33, 44)
def construct(self):
return isinstance(self.value, [tuple, int, float])
net = Net()
with pytest.raises(TypeError) as err:
net()
assert "The second arg of 'isinstance' must be a type or a tuple of types, but got a list" in str(err.value)