1 /**
2 * Copyright 2021 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/floor.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 class TestFloor : public UT::Common {
28 public:
TestFloor()29 TestFloor() {}
SetUp()30 void SetUp() {}
TearDown()31 void TearDown() {}
32 };
33
TEST_F(TestFloor,test_ops_floor1)34 TEST_F(TestFloor, test_ops_floor1) {
35 auto floor = std::make_shared<Floor>();
36 floor->Init();
37 auto tensor_x = TensorConstructUtils::CreateOnesTensor(kNumberTypeFloat32, std::vector<int64_t>{2, 2});
38 MS_EXCEPTION_IF_NULL(tensor_x);
39 auto abstract = floor->Infer({tensor_x->ToAbstract()});
40 MS_EXCEPTION_IF_NULL(abstract);
41 EXPECT_EQ(abstract->isa<abstract::AbstractTensor>(), true);
42 auto shape_ptr = abstract->BuildShape();
43 MS_EXCEPTION_IF_NULL(shape_ptr);
44 EXPECT_EQ(shape_ptr->isa<abstract::Shape>(), true);
45 auto shape = shape_ptr->cast<abstract::ShapePtr>();
46 MS_EXCEPTION_IF_NULL(shape);
47 auto shape_vec = shape->shape();
48 auto type = abstract->BuildType();
49 MS_EXCEPTION_IF_NULL(type);
50 EXPECT_EQ(type->isa<TensorType>(), true);
51 auto tensor_type = type->cast<TensorTypePtr>();
52 MS_EXCEPTION_IF_NULL(tensor_type);
53 auto data_type = tensor_type->element();
54 MS_EXCEPTION_IF_NULL(data_type);
55 EXPECT_EQ(data_type->type_id(), kNumberTypeFloat32);
56 EXPECT_EQ(shape_vec.size(), 2);
57 EXPECT_EQ(shape_vec[0], 2);
58 EXPECT_EQ(shape_vec[1], 2);
59 }
60 } // namespace ops
61 } // namespace mindspore