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 22 23class Net(Cell): 24 def __init__(self): 25 super(Net, self).__init__() 26 self.identity = P.Identity() 27 28 def construct(self, x): 29 return self.identity(x) 30 31def get_output(x, enable_graph_kernel=False): 32 context.set_context(enable_graph_kernel=enable_graph_kernel) 33 net = Net() 34 output = net(x) 35 return output 36 37def test_basic(dtype): 38 expect_np = np.random.normal(0, 10, (16, 32)).astype(dtype) 39 x = Tensor(expect_np) 40 output = get_output(x, True) 41 output_np = output.asnumpy().copy() 42 assert np.allclose(expect_np, output_np, 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(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(np.float32) 57