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/depth_to_space.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 TestDepthToSpace : public UT::Common { 28 public: 29 TestDepthToSpace() {} 30 void SetUp() {} 31 void TearDown() {} 32 }; 33 34 TEST_F(TestDepthToSpace, test_ops_depth_to_space1) { 35 auto depth_to_space = std::make_shared<DepthToSpace>(); 36 depth_to_space->Init(2, NCHW); 37 auto tensor_x = TensorConstructUtils::CreateOnesTensor(kNumberTypeFloat32, std::vector<int64_t>{3, 12, 4, 5}); 38 MS_EXCEPTION_IF_NULL(tensor_x); 39 auto abstract = depth_to_space->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(), 4); 57 EXPECT_EQ(shape_vec[0], 3); 58 EXPECT_EQ(shape_vec[1], 3); 59 EXPECT_EQ(shape_vec[2], 8); 60 EXPECT_EQ(shape_vec[3], 10); 61 } 62 } // namespace ops 63 } // namespace mindspore 64