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/leaky_relu.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 TestLeakyRelu : public UT::Common {
28 public:
TestLeakyRelu()29 TestLeakyRelu() {}
SetUp()30 void SetUp() {}
TearDown()31 void TearDown() {}
32 };
33
TEST_F(TestLeakyRelu,test_ops_leakyrelu1)34 TEST_F(TestLeakyRelu, test_ops_leakyrelu1) {
35 auto leakyrelu = std::make_shared<LeakyRelu>();
36 auto tensor_x = TensorConstructUtils::CreateOnesTensor(kNumberTypeFloat32, std::vector<int64_t>{3, 4, 5});
37 MS_EXCEPTION_IF_NULL(tensor_x);
38 auto abstract = leakyrelu->Infer({tensor_x->ToAbstract()});
39 MS_EXCEPTION_IF_NULL(abstract);
40 EXPECT_EQ(abstract->isa<abstract::AbstractTensor>(), true);
41 auto shape_ptr = abstract->BuildShape();
42 MS_EXCEPTION_IF_NULL(shape_ptr);
43 EXPECT_EQ(shape_ptr->isa<abstract::Shape>(), true);
44 auto shape = shape_ptr->cast<abstract::ShapePtr>();
45 MS_EXCEPTION_IF_NULL(shape);
46 auto shape_vec = shape->shape();
47 auto type = 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 data_type = tensor_type->element();
53 MS_EXCEPTION_IF_NULL(data_type);
54 EXPECT_EQ(data_type->type_id(), kNumberTypeFloat32);
55 EXPECT_EQ(shape_vec.size(), 3);
56 EXPECT_EQ(shape_vec[0], 3);
57 EXPECT_EQ(shape_vec[1], 4);
58 EXPECT_EQ(shape_vec[2], 5);
59 }
60 } // namespace ops
61 } // namespace mindspore
62