// Licensed to the LF AI & Data foundation 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. #pragma once #include "Types.h" namespace milvus { class VectorTrait {}; class FloatVector : public VectorTrait { public: using embedded_type = float; static constexpr auto metric_type = DataType::VECTOR_FLOAT; }; class BinaryVector : public VectorTrait { public: using embedded_type = uint8_t; static constexpr auto metric_type = DataType::VECTOR_BINARY; }; template inline constexpr int64_t element_sizeof(int64_t dim) { static_assert(std::is_base_of_v); if constexpr (std::is_same_v) { return dim * sizeof(float); } else { return dim / 8; } } template constexpr bool IsVector = std::is_base_of_v; template constexpr bool IsScalar = std::is_fundamental_v; template struct EmbeddedTypeImpl; template struct EmbeddedTypeImpl>> { using type = T; }; template struct EmbeddedTypeImpl>> { using type = std::conditional_t, float, uint8_t>; }; template using EmbeddedType = typename EmbeddedTypeImpl::type; } // namespace milvus