ZihengJiang commented on a change in pull request #8200: URL: https://github.com/apache/tvm/pull/8200#discussion_r646215772
########## File path: include/tvm/runtime/container/shape_tuple.h ########## @@ -0,0 +1,96 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, + * software distributed under the License is distributed on an + * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY + * KIND, either express or implied. See the License for the + * specific language governing permissions and limitations + * under the License. + */ + +/*! + * \file tvm/runtime/container/shape_tuple.h + * \brief Runtime ShapeTuple container types. + */ +#ifndef TVM_RUNTIME_CONTAINER_SHAPE_TUPLE_H_ +#define TVM_RUNTIME_CONTAINER_SHAPE_TUPLE_H_ + +#include <utility> +#include <vector> + +#include "./base.h" + +namespace tvm { +namespace runtime { + +class ShapeTupleObj : public Object { + public: + using index_type = int64_t; + index_type* data; + uint64_t size; + + static constexpr const uint32_t _type_index = runtime::TypeIndex::kRuntimeShapeTuple; + static constexpr const char* _type_key = "runtime.ShapeTuple"; + TVM_DECLARE_FINAL_OBJECT_INFO(ShapeTupleObj, Object); + + private: + class FromStd; + friend class ShapeTuple; +}; + +class ShapeTupleObj::FromStd : public ShapeTupleObj { + public: + using index_type = ShapeTupleObj::index_type; + explicit FromStd(std::vector<index_type> other) : data_container{other} {} + + private: + /*! \brief Container that holds the memory. */ + std::vector<index_type> data_container; + + friend class ShapeTuple; +}; + +class ShapeTuple : public ObjectRef { + public: + using index_type = ShapeTupleObj::index_type; + ShapeTuple() : ShapeTuple(std::vector<index_type>()) {} + template <typename Iterator> + ShapeTuple(Iterator begin, Iterator end) : ShapeTuple(std::vector<index_type>(begin, end)) {} + ShapeTuple(std::initializer_list<index_type> shape) : ShapeTuple(shape.begin(), shape.end()) {} + + ShapeTuple(std::vector<index_type> shape); // NOLINT(*) + + const index_type* data() const { return get()->data; } + size_t size() const { return get()->size; } + index_type operator[](size_t idx) const { return this->data()[idx]; } Review comment: Do we need to only allow read-only access here? That might mean we need a proxy class for it. ########## File path: include/tvm/runtime/container/shape_tuple.h ########## @@ -0,0 +1,96 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, + * software distributed under the License is distributed on an + * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY + * KIND, either express or implied. See the License for the + * specific language governing permissions and limitations + * under the License. + */ + +/*! + * \file tvm/runtime/container/shape_tuple.h + * \brief Runtime ShapeTuple container types. + */ +#ifndef TVM_RUNTIME_CONTAINER_SHAPE_TUPLE_H_ +#define TVM_RUNTIME_CONTAINER_SHAPE_TUPLE_H_ + +#include <utility> +#include <vector> + +#include "./base.h" + +namespace tvm { +namespace runtime { + +class ShapeTupleObj : public Object { + public: + using index_type = int64_t; + index_type* data; + uint64_t size; + + static constexpr const uint32_t _type_index = runtime::TypeIndex::kRuntimeShapeTuple; + static constexpr const char* _type_key = "runtime.ShapeTuple"; + TVM_DECLARE_FINAL_OBJECT_INFO(ShapeTupleObj, Object); + + private: + class FromStd; + friend class ShapeTuple; +}; + +class ShapeTupleObj::FromStd : public ShapeTupleObj { + public: + using index_type = ShapeTupleObj::index_type; + explicit FromStd(std::vector<index_type> other) : data_container{other} {} + + private: + /*! \brief Container that holds the memory. */ + std::vector<index_type> data_container; + + friend class ShapeTuple; +}; + +class ShapeTuple : public ObjectRef { + public: + using index_type = ShapeTupleObj::index_type; + ShapeTuple() : ShapeTuple(std::vector<index_type>()) {} + template <typename Iterator> + ShapeTuple(Iterator begin, Iterator end) : ShapeTuple(std::vector<index_type>(begin, end)) {} + ShapeTuple(std::initializer_list<index_type> shape) : ShapeTuple(shape.begin(), shape.end()) {} + + ShapeTuple(std::vector<index_type> shape); // NOLINT(*) + + const index_type* data() const { return get()->data; } + size_t size() const { return get()->size; } + index_type operator[](size_t idx) const { return this->data()[idx]; } + index_type at(size_t idx) const { return this->data()[idx]; } + + const index_type* begin() const { return get()->data; } Review comment: this requires `const_cast` when convert shape to `dl_tensor.shape` -- This is an automated message from the Apache Git Service. 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