1 /**
2 * Copyright 2020 Huawei Technologies Co., Ltd
3 *
4 * Licensed under the Apache License, Version 2.0 (the "License");
5 * you may not use this file except in compliance with the License.
6 * You may obtain a copy of the License at
7 *
8 * http://www.apache.org/licenses/LICENSE-2.0
9 *
10 * Unless required by applicable law or agreed to in writing, software
11 * distributed under the License is distributed on an "AS IS" BASIS,
12 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13 * See the License for the specific language governing permissions and
14 * limitations under the License.
15 */
16 #include <vector>
17 #include <memory>
18 #include "common/common_test.h"
19 #include "ops/fusion/slice_fusion.h"
20 #include "ir/dtype/type.h"
21 #include "ir/value.h"
22 #include "abstract/dshape.h"
23 #include "utils/tensor_construct_utils.h"
24
25 namespace mindspore {
26 namespace ops {
27
28 class TestSliceFusion : public UT::Common {
29 public:
TestSliceFusion()30 TestSliceFusion() {}
SetUp()31 void SetUp() {}
TearDown()32 void TearDown() {}
33 };
34
TEST_F(TestSliceFusion,test_ops_slice_fusion1)35 TEST_F(TestSliceFusion, test_ops_slice_fusion1) {
36 auto slice_fusion = std::make_shared<SliceFusion>();
37 slice_fusion->Init(std::vector<int64_t>{1});
38 EXPECT_EQ(slice_fusion->get_axes(), std::vector<int64_t>{1});
39 auto input0 = TensorConstructUtils::CreateOnesTensor(kNumberTypeInt32, std::vector<int64_t>{3, 3, 3});
40 auto input1 = MakeValue(std::vector<int64_t>{1, 0, 0});
41 auto input2 = MakeValue(std::vector<int64_t>{1, 1, 3});
42 MS_EXCEPTION_IF_NULL(input0);
43 MS_EXCEPTION_IF_NULL(input1);
44 MS_EXCEPTION_IF_NULL(input2);
45 auto abstract = slice_fusion->Infer({input0->ToAbstract(), input1->ToAbstract(), input2->ToAbstract()});
46 MS_EXCEPTION_IF_NULL(abstract);
47 EXPECT_EQ(abstract->isa<abstract::AbstractTensor>(), true);
48 auto shape_ptr = abstract->BuildShape();
49 MS_EXCEPTION_IF_NULL(shape_ptr);
50 EXPECT_EQ(shape_ptr->isa<abstract::Shape>(), true);
51 auto shape = shape_ptr->cast<abstract::ShapePtr>();
52 MS_EXCEPTION_IF_NULL(shape);
53 auto shape_vec = shape->shape();
54 EXPECT_EQ(shape_vec.size(), 3);
55 EXPECT_EQ(shape_vec[0], 1);
56 EXPECT_EQ(shape_vec[1], 1);
57 EXPECT_EQ(shape_vec[2], 3);
58 auto type = abstract->BuildType();
59 MS_EXCEPTION_IF_NULL(type);
60 EXPECT_EQ(type->isa<TensorType>(), true);
61 auto tensor_type = type->cast<TensorTypePtr>();
62 MS_EXCEPTION_IF_NULL(tensor_type);
63 auto data_type = tensor_type->element();
64 MS_EXCEPTION_IF_NULL(data_type);
65 EXPECT_EQ(data_type->type_id(), kNumberTypeInt32);
66 }
67
68 } // namespace ops
69 } // namespace mindspore
70