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// 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;
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