Adding upstream version 18.2.2.upstream/18.2.2

Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>

1 files changed, 54 insertions, 0 deletions

diff --git a/src/arrow/format/Tensor.fbs b/src/arrow/format/Tensor.fbs
new file mode 100644
index 000000000..409297ccf
--- /dev/null
+++ b/src/arrow/format/Tensor.fbs
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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;