forked from mindspore-Ecosystem/mindspore
38 lines
1.1 KiB
Python
38 lines
1.1 KiB
Python
# Copyright 2020 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 softmax api
|
|
"""
|
|
import numpy as np
|
|
|
|
import mindspore.nn as nn
|
|
from mindspore import Tensor
|
|
|
|
|
|
class Net(nn.Cell):
|
|
def __init__(self, dim):
|
|
super(Net, self).__init__()
|
|
self.softmax = nn.Softmax(dim)
|
|
|
|
def construct(self, input_x):
|
|
return self.softmax(input_x)
|
|
|
|
|
|
def test_compile():
|
|
net = Net(0)
|
|
input_data = Tensor(np.array([[1.2, 2.1], [2.2, 3.2]]).astype(np.float32))
|
|
output = net(input_data)
|
|
print(output.asnumpy())
|