1# Copyright 2021 Huawei Technologies Co., Ltd 2# 3# Licensed under the Apache License, Version 2.0 (the "License"); 4# you may not use this file except in compliance with the License. 5# You may obtain a copy of the License at 6# 7# http://www.apache.org/licenses/LICENSE-2.0 8# 9# Unless required by applicable law or agreed to in writing, software 10# distributed under the License is distributed on an "AS IS" BASIS, 11# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 12# See the License for the specific language governing permissions and 13# limitations under the License. 14# ============================================================================ 15import numpy as np 16import pytest 17 18import mindspore.context as context 19import mindspore.nn as nn 20from mindspore import Tensor 21from mindspore.ops import composite as C 22 23context.set_context(mode=context.GRAPH_MODE, device_target='CPU') 24 25 26class Net(nn.Cell): 27 def __init__(self, sample, replacement, seed=0): 28 super(Net, self).__init__() 29 self.sample = sample 30 self.replacement = replacement 31 self.seed = seed 32 33 def construct(self, x): 34 return C.multinomial(x, self.sample, self.replacement, self.seed) 35 36 37@pytest.mark.level0 38@pytest.mark.platform_x86_cpu 39@pytest.mark.env_onecard 40def test_multinomial_net(): 41 x0 = Tensor(np.array([0.9, 0.2]).astype(np.float32)) 42 x1 = Tensor(np.array([[0.9, 0.2], [0.9, 0.2]]).astype(np.float32)) 43 net0 = Net(1, True, 20) 44 net1 = Net(2, True, 20) 45 net2 = Net(6, True, 20) 46 out0 = net0(x0) 47 out1 = net1(x0) 48 out2 = net2(x1) 49 assert out0.asnumpy().shape == (1,) 50 assert out1.asnumpy().shape == (2,) 51 assert out2.asnumpy().shape == (2, 6) 52