1# Copyright 2022 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 16""" test ops unbind """ 17import numpy as np 18import pytest 19from mindspore import context, Tensor 20import mindspore.ops as ops 21from mindspore import nn 22 23 24class UnbindNet(nn.Cell): 25 def construct(self, x, dim): 26 return ops.unbind(x, dim) 27 28 29@pytest.mark.level2 30@pytest.mark.platform_x86_cpu 31@pytest.mark.platform_arm_cpu 32@pytest.mark.platform_x86_gpu_training 33@pytest.mark.platform_arm_ascend_training 34@pytest.mark.platform_x86_ascend_training 35@pytest.mark.env_onecard 36@pytest.mark.parametrize('mode', [context.GRAPH_MODE, context.PYNATIVE_MODE]) 37def test_unbind(mode): 38 """ 39 Feature: unbind 40 Description: Verify the result of unbind 41 Expectation: success 42 """ 43 context.set_context(mode=mode) 44 x = Tensor(np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])) 45 dim = 0 46 unbind = UnbindNet() 47 output = unbind(x, dim) 48 for i in range(len(x)): 49 assert np.allclose(output[i].asnumpy(), x[i].asnumpy(), rtol=0.0001) 50