forked from mindspore-Ecosystem/mindspore
37 lines
1.4 KiB
Python
37 lines
1.4 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.
|
|
# ============================================================================
|
|
|
|
import mindspore.context as context
|
|
import mindspore.nn.probability.distribution as msd
|
|
|
|
context.set_context(device_target='GPU')
|
|
|
|
def test_categorical1():
|
|
cat1 = msd.Categorical(probs=[[0.9, 0.2], [0.9, 0.2]])
|
|
cat1out1 = cat1.sample((1,))
|
|
cat1out2 = cat1.sample((3, 2))
|
|
cat1out3 = cat1.sample((6,))
|
|
assert cat1out1.asnumpy().shape == (2, 1)
|
|
assert cat1out2.asnumpy().shape == (2, 3, 2)
|
|
assert cat1out3.asnumpy().shape == (2, 6)
|
|
|
|
cat1 = msd.Categorical(probs=[0.9, 0.2])
|
|
cat1out1 = cat1.sample((1,))
|
|
cat1out2 = cat1.sample((3, 2))
|
|
cat1out3 = cat1.sample((6,))
|
|
assert cat1out1.asnumpy().shape == (1,)
|
|
assert cat1out2.asnumpy().shape == (3, 2)
|
|
assert cat1out3.asnumpy().shape == (6,)
|