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 numpy as np 17import pytest 18 19import mindspore.context as context 20import mindspore.nn as nn 21from mindspore import Tensor 22from mindspore.ops import operations as P 23from mindspore import dtype 24 25context.set_context(mode=context.GRAPH_MODE, device_target="GPU") 26 27class NetExpm1(nn.Cell): 28 def __init__(self): 29 super(NetExpm1, self).__init__() 30 self.expm1 = P.Expm1() 31 32 def construct(self, x): 33 return self.expm1(x) 34 35 36@pytest.mark.level0 37@pytest.mark.platform_x86_gpu_training 38@pytest.mark.env_onecard 39def test_expm1_fp32(): 40 expm1 = NetExpm1() 41 x = np.random.rand(3, 8).astype(np.float32) 42 output = expm1(Tensor(x, dtype=dtype.float32)) 43 expect = np.expm1(x) 44 tol = 1e-6 45 assert (np.abs(output.asnumpy() - expect) < tol).all() 46 47@pytest.mark.level0 48@pytest.mark.platform_x86_gpu_training 49@pytest.mark.env_onecard 50def test_expm1_fp16(): 51 expm1 = NetExpm1() 52 x = np.random.rand(3, 8).astype(np.float16) 53 output = expm1(Tensor(x, dtype=dtype.float16)) 54 expect = np.expm1(x) 55 tol = 1e-3 56 assert (np.abs(output.asnumpy() - expect) < tol).all() 57