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 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 23 24class ElemwiseNet(Cell): 25 def __init__(self): 26 super(ElemwiseNet, self).__init__() 27 self.add = P.Add() 28 self.sub = P.Sub() 29 self.exp = P.Exp() 30 self.matmul = P.MatMul() 31 32 def construct(self, x, y, z): 33 res_1 = self.matmul(x, y) 34 res_2 = self.sub(res_1, z) 35 res_3 = self.exp(res_2) 36 res_4 = self.add(res_3, z) 37 return res_4 38 39 40def fusion_net_get_output(x, y, z, enable_auto_tensor_inplace=False): 41 context.set_context(enable_graph_kernel=True) 42 if enable_auto_tensor_inplace: 43 context.set_context(graph_kernel_flags="--enable_auto_tensor_inplace=true") 44 net = ElemwiseNet() 45 output = net(x, y, z) 46 return output 47 48 49def fusion_net_compare_result(): 50 x = Tensor(np.random.normal(0, 1, [4, 16]).astype(np.float32)) 51 y = Tensor(np.random.normal(0, 1, [16, 4]).astype(np.float32)) 52 z = Tensor(np.random.normal(0, 1, [4, 4]).astype(np.float32)) 53 expect = fusion_net_get_output(x, y, z, False) 54 output = fusion_net_get_output(x, y, z, True) 55 assert np.allclose(expect.asnumpy(), output.asnumpy(), 1.e-4, 1.e-7) 56 57 58@pytest.mark.level1 59@pytest.mark.platform_x86_gpu_training 60@pytest.mark.env_onecard 61def test_gpu_graph_mode(): 62 """ 63 Feature: graph kernel testcase for auto tensor inplace 64 Description: random input when using graph_kernel in graph mode 65 Expectation: get the same result when using and not using auto tensor inplace 66 """ 67 context.set_context(mode=context.GRAPH_MODE, device_target="GPU") 68 fusion_net_compare_result() 69