1 /** 2 * This is the C++ adaptation and derivative work of Myia (https://github.com/mila-iqia/myia/). 3 * 4 * Copyright 2019 Huawei Technologies Co., Ltd 5 * 6 * Licensed under the Apache License, Version 2.0 (the "License"); 7 * you may not use this file except in compliance with the License. 8 * You may obtain a copy of the License at 9 * 10 * http://www.apache.org/licenses/LICENSE-2.0 11 * 12 * Unless required by applicable law or agreed to in writing, software 13 * distributed under the License is distributed on an "AS IS" BASIS, 14 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 15 * See the License for the specific language governing permissions and 16 * limitations under the License. 17 */ 18 19 #ifndef MINDSPORE_CORE_ABSTRACT_UTILS_H_ 20 #define MINDSPORE_CORE_ABSTRACT_UTILS_H_ 21 22 #include <vector> 23 #include <utility> 24 #include <memory> 25 #include <string> 26 #include "abstract/abstract_value.h" 27 #include "utils/any.h" 28 #include "utils/misc.h" 29 #include "utils/shape_utils.h" 30 31 namespace mindspore { 32 namespace abstract { 33 ValuePtr ValueJoin(const ValuePtr &value1, const ValuePtr &value2); 34 TypePtr TypeJoin(const TypePtr &type1, const TypePtr &type2); 35 ShapePtr ShapeJoin(const ShapePtr &shape1, const ShapePtr &shape2); 36 37 AbstractBasePtr AbstractJoin(const AbstractBasePtrList &args_spec_list); 38 AbstractBasePtrList AbstractJoin(const AbstractBasePtrList &spec1, const AbstractBasePtrList &spec2); 39 40 // Return an abstract value for the sensitivity of x. 41 // The sensitivity of a function is an Env 42 // The sensitivity of J(x) is x 43 // else self.Clone; 44 AbstractBasePtr SensitivityTransform(const AbstractBasePtr &spec); 45 46 TypePtr CheckTypeList(const TypePtr &predicate, const TypePtrList &args_type_list); 47 48 bool CheckType(const TypePtr &expected_type, const TypePtr &x); 49 50 int64_t GetPositiveAxis(int64_t axis_value, size_t increment); 51 52 ShapeVector BroadcastShape(ShapeVector shpx, ShapeVector shpy); 53 54 MS_CORE_API size_t TypeIdSize(const TypeId data_type); 55 size_t ShapeSize(const std::vector<size_t> &shape); 56 57 // Get broadcasted shape for binary element-wise operation 58 ShapePtr GetBroadcastShape(const std::string &op, const AbstractTensorPtr &tensor_x, const AbstractTensorPtr &tensor_y); 59 60 // Check dynamic shape routine 61 void CheckMinMaxShape(const ShapeVector &shape, ShapeVector *min_shape, ShapeVector *max_shape); 62 63 // Get 3rd argument for UnsortedSegmentOps' inferImpl function 64 int64_t GetUnsortedSegmentOpScalarArg(const AbstractBasePtrList &args_spec_list, const std::string &op_name); 65 AbstractBasePtr MakeAbstract(const BaseShapePtr &base_shape, const TypePtr &type); 66 AbstractBasePtr MakeMonadAbstract(const MonadTypePtr &type); 67 AbstractBasePtr MakeAbstractTensor(const ShapePtr &shape, const TypePtr &type); 68 } // namespace abstract 69 } // namespace mindspore 70 #endif // MINDSPORE_CORE_ABSTRACT_UTILS_H_ 71