1# Copyright 2020 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# ============================================================================ 15 16import pytest 17import mindspore.context as context 18import mindspore.nn as nn 19from mindspore import Tensor 20from mindspore.ops import operations as P 21from mindspore.common import dtype as mstype 22 23context.set_context(mode=context.GRAPH_MODE, device_target="GPU") 24 25 26class Net(nn.Cell): 27 def __init__(self, shape, seed=0, seed2=0): 28 super(Net, self).__init__() 29 self.uniformint = P.UniformInt(seed=seed) 30 self.shape = shape 31 32 def construct(self, a, b): 33 return self.uniformint(self.shape, a, b) 34 35@pytest.mark.level0 36@pytest.mark.platform_x86_gpu_training 37@pytest.mark.env_onecard 38def test_net_1D(): 39 seed = 10 40 shape = (3, 2, 4) 41 a = 1 42 b = 5 43 net = Net(shape, seed=seed) 44 ta, tb = Tensor(a, mstype.int32), Tensor(b, mstype.int32) 45 output = net(ta, tb) 46 assert output.shape == (3, 2, 4) 47