2021-08-04 09:17:30 +08:00
|
|
|
# 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 syntax for logic expression """
|
|
|
|
|
|
|
|
import numpy as np
|
|
|
|
|
|
|
|
import mindspore.nn as nn
|
|
|
|
import mindspore
|
|
|
|
from mindspore import context
|
|
|
|
from mindspore.common.tensor import Tensor
|
|
|
|
from mindspore.ops import operations as P
|
|
|
|
|
2021-07-22 15:48:12 +08:00
|
|
|
context.set_context(mode=context.GRAPH_MODE)
|
2021-08-04 09:17:30 +08:00
|
|
|
|
|
|
|
|
|
|
|
class Net(nn.Cell):
|
|
|
|
def __init__(self,):
|
|
|
|
super().__init__()
|
|
|
|
self.matmul = P.MatMul()
|
|
|
|
|
|
|
|
def construct(self, x, y):
|
|
|
|
out = self.matmul(x, y)
|
|
|
|
return out
|
|
|
|
|
|
|
|
def test_call():
|
|
|
|
x = Tensor(np.ones(shape=[1, 3]), mindspore.float32)
|
|
|
|
y = Tensor(np.ones(shape=[3, 4]), mindspore.float32)
|
|
|
|
net = Net()
|
|
|
|
ret = net(x, y)
|
|
|
|
print(ret)
|