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/fill.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 TestFill : public UT::Common { 28 public: 29 TestFill() {} 30 void SetUp() {} 31 void TearDown() {} 32 }; 33 34 TEST_F(TestFill, test_ops_fill1) { 35 auto fill = std::make_shared<Fill>(); 36 auto dtype = kFloat32; 37 auto dims = MakeValue(std::vector<int64_t>{2, 3, 4, 5}); 38 auto x = MakeValue(4); 39 MS_EXCEPTION_IF_NULL(dtype); 40 MS_EXCEPTION_IF_NULL(dims); 41 MS_EXCEPTION_IF_NULL(x); 42 auto abstract = fill->Infer({dtype->ToAbstract(), dims->ToAbstract(), x->ToAbstract()}); 43 MS_EXCEPTION_IF_NULL(abstract); 44 EXPECT_EQ(abstract->isa<abstract::AbstractTensor>(), true); 45 auto shape_ptr = abstract->BuildShape(); 46 MS_EXCEPTION_IF_NULL(shape_ptr); 47 EXPECT_EQ(shape_ptr->isa<abstract::Shape>(), true); 48 auto shape = shape_ptr->cast<abstract::ShapePtr>(); 49 MS_EXCEPTION_IF_NULL(shape); 50 auto shape_vec = shape->shape(); 51 auto type = abstract->BuildType(); 52 MS_EXCEPTION_IF_NULL(type); 53 EXPECT_EQ(type->isa<TensorType>(), true); 54 auto tensor_type = type->cast<TensorTypePtr>(); 55 MS_EXCEPTION_IF_NULL(tensor_type); 56 auto data_type = tensor_type->element(); 57 MS_EXCEPTION_IF_NULL(data_type); 58 EXPECT_EQ(data_type->type_id(), kNumberTypeFloat32); 59 EXPECT_EQ(shape_vec.size(), 4); 60 EXPECT_EQ(shape_vec[0], 2); 61 EXPECT_EQ(shape_vec[1], 3); 62 EXPECT_EQ(shape_vec[2], 4); 63 EXPECT_EQ(shape_vec[3], 5); 64 } 65 } // namespace ops 66 } // namespace mindspore 67