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# ============================================================================ 15 16import numpy as np 17import pytest 18import mindspore.context as context 19from mindspore import Tensor 20from mindspore.nn import Cell 21import mindspore.ops.operations as P 22import mindspore.common.dtype as mstype 23 24class Net(Cell): 25 def __init__(self): 26 super(Net, self).__init__() 27 self.oneslike = P.OnesLike() 28 29 def construct(self, shape, dtype, x): 30 return self.oneslike(x) 31 32def get_output(shape, dtype, nptype, enable_graph_kernel=False): 33 context.set_context(enable_graph_kernel=enable_graph_kernel) 34 net = Net() 35 x = Tensor(np.random.normal(0, 10, shape).astype(nptype)) 36 output = net(shape, dtype, x) 37 return output 38 39def test_basic(shape, dtype, nptype): 40 expect = get_output(shape, dtype, nptype, False) 41 output = get_output(shape, dtype, nptype, True) 42 assert np.allclose(expect.asnumpy(), output.asnumpy(), 1.e-4, 1.e-7) 43 44@pytest.mark.level0 45@pytest.mark.platform_x86_gpu_training 46@pytest.mark.env_onecard 47def test_gpu_1(): 48 context.set_context(mode=context.GRAPH_MODE, device_target="GPU") 49 test_basic((2, 16), mstype.float16, np.float16) 50 51@pytest.mark.level0 52@pytest.mark.platform_x86_gpu_training 53@pytest.mark.env_onecard 54def test_gpu_2(): 55 context.set_context(mode=context.GRAPH_MODE, device_target="GPU") 56 test_basic((4, 32), mstype.float32, np.float32) 57