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.
91 lines
2.4 KiB
91 lines
2.4 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 reshape"""
|
|
import pytest
|
|
|
|
import mindspore.nn as nn
|
|
import mindspore.common.dtype as mstype
|
|
from mindspore import Tensor
|
|
from mindspore import context
|
|
|
|
context.set_context(mode=context.GRAPH_MODE)
|
|
|
|
|
|
def test_reshape():
|
|
class Net(nn.Cell):
|
|
def __init__(self):
|
|
super(Net, self).__init__()
|
|
self.value = Tensor([[1, 2, 3], [4, 5, 6]], dtype=mstype.float32)
|
|
|
|
def construct(self):
|
|
return self.value.reshape(-1)
|
|
|
|
net = Net()
|
|
net()
|
|
|
|
|
|
def test_reshape_1():
|
|
class Net(nn.Cell):
|
|
def __init__(self):
|
|
super(Net, self).__init__()
|
|
self.value = Tensor([[1, 2, 3], [4, 5, 6]], dtype=mstype.float32)
|
|
|
|
def construct(self):
|
|
return self.value.reshape([3, 2, 1])
|
|
|
|
net = Net()
|
|
net()
|
|
|
|
|
|
def test_reshape_2():
|
|
class Net(nn.Cell):
|
|
def __init__(self):
|
|
super(Net, self).__init__()
|
|
self.value = Tensor([[1, 2, 3], [4, 5, 6]], dtype=mstype.float32)
|
|
|
|
def construct(self):
|
|
return self.value.reshape((-1, 2))
|
|
|
|
net = Net()
|
|
net()
|
|
|
|
|
|
def test_reshape_error():
|
|
class Net(nn.Cell):
|
|
def __init__(self):
|
|
super(Net, self).__init__()
|
|
self.value = Tensor([[1, 2, 3], [4, 5, 6]], dtype=mstype.float32)
|
|
|
|
def construct(self):
|
|
return self.value.reshape(1, 2, 4)
|
|
|
|
net = Net()
|
|
with pytest.raises(ValueError):
|
|
net()
|
|
|
|
|
|
def test_reshape_error_1():
|
|
class Net(nn.Cell):
|
|
def __init__(self):
|
|
super(Net, self).__init__()
|
|
self.value = Tensor([[1, 2, 3], [4, 5, 6]], dtype=mstype.float32)
|
|
|
|
def construct(self):
|
|
return self.value.reshape((1, 2, 3.5))
|
|
|
|
net = Net()
|
|
with pytest.raises(TypeError):
|
|
net()
|