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/flatten.h"
20 #include "ir/dtype/type.h"
21 #include "abstract/dshape.h"
22 #include "utils/tensor_construct_utils.h"
23 namespace mindspore {
24 namespace ops {
25 class TestFlatten : public UT::Common {
26 public:
TestFlatten()27 TestFlatten() {}
SetUp()28 void SetUp() {}
TearDown()29 void TearDown() {}
30 };
31
TEST_F(TestFlatten,test_ops_flatten)32 TEST_F(TestFlatten, test_ops_flatten) {
33 auto flatten = std::make_shared<Flatten>();
34 flatten->Init();
35 auto tensor_x = TensorConstructUtils::CreateOnesTensor(kNumberTypeFloat32, std::vector<int64_t>{1, 2, 3, 4});
36 MS_EXCEPTION_IF_NULL(tensor_x);
37
38 auto flatten_abstract = flatten->Infer({tensor_x->ToAbstract()});
39 MS_EXCEPTION_IF_NULL(flatten_abstract);
40 EXPECT_EQ(flatten_abstract->isa<abstract::AbstractTensor>(), true);
41 auto shape_ptr = flatten_abstract->BuildShape();
42 MS_EXCEPTION_IF_NULL(shape_ptr);
43 EXPECT_EQ(shape_ptr->isa<abstract::Shape>(), true);
44 auto flatten_shape = shape_ptr->cast<abstract::ShapePtr>();
45 MS_EXCEPTION_IF_NULL(flatten_shape);
46 auto shape_vec = flatten_shape->shape();
47 auto type = flatten_abstract->BuildType();
48 MS_EXCEPTION_IF_NULL(type);
49 EXPECT_EQ(type->isa<TensorType>(), true);
50 auto tensor_type = type->cast<TensorTypePtr>();
51 MS_EXCEPTION_IF_NULL(tensor_type);
52 auto elem_type = tensor_type->element();
53 EXPECT_EQ(elem_type->type_id(), kNumberTypeFloat32);
54 EXPECT_EQ(shape_vec.size(), 2);
55 EXPECT_EQ(shape_vec[0], 1);
56 EXPECT_EQ(shape_vec[1], 24);
57 }
58
59 } // namespace ops
60 } // namespace mindspore
61