// 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. /// EXPERIMENTAL: Metadata for n-dimensional arrays, aka "tensors" or /// "ndarrays". Arrow implementations in general are not required to implement /// this type include "Schema.fbs"; namespace org.apache.arrow.flatbuf; /// ---------------------------------------------------------------------- /// Data structures for dense tensors /// Shape data for a single axis in a tensor table TensorDim { /// Length of dimension size: long; /// Name of the dimension, optional name: string; } table Tensor { /// The type of data contained in a value cell. Currently only fixed-width /// value types are supported, no strings or nested types type: Type (required); /// The dimensions of the tensor, optionally named shape: [TensorDim] (required); /// Non-negative byte offsets to advance one value cell along each dimension /// If omitted, default to row-major order (C-like). strides: [long]; /// The location and size of the tensor's data data: Buffer (required); } root_type Tensor;