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deeplearning4j--deeplearning4j/libnd4j/include/graph/scheme/array.fbs
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/* ******************************************************************************
*
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://www.apache.org/licenses/LICENSE-2.0.
*
* See the NOTICE file distributed with this work for additional
* information regarding copyright ownership.
* 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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
namespace graph;
// byte order for arrays/buffers
enum ByteOrder:byte {
LE,
BE,
}
// DataType for arrays/buffers
enum DType:byte {
INHERIT,
BOOL,
FLOAT8,
HALF,
HALF2,
FLOAT,
DOUBLE,
INT8,
INT16,
INT32,
INT64,
UINT8,
UINT16,
UINT32,
UINT64,
QINT8,
QINT16,
BFLOAT16 = 17,
UTF8 = 50,
UTF16 = 51,
UTF32 = 52,
}
enum LossReduce:byte {
NONE,
SUM,
MEAN_BY_WEIGHT,
MEAN_BY_NONZERO_WEIGHT_COUNT
}
// this structure describe NDArray
// Buffer chunk for large data
table BufferChunk {
index:long; // Position in the logical buffer
data:[byte]; // Chunk data (limited to <2GB per chunk)
}
// Extended FlatArray with support for both small and large buffers
// as well as external storage for arrays larger than 2GB
table FlatArray {
shape:[long];
buffer:[byte]; // Used for small buffers (<2GB)
dtype:DType;
byteOrder:ByteOrder;
// Fields for large buffer support via chunking
bufferChunks:[BufferChunk]; // Used for large buffers
totalBufferSize:long; // Total size when using chunks
// Fields for external file storage
externalDataFilename:[string]; // Filename for externally stored data
isExternal:bool = false; // Flag indicating if data is stored externally
}
root_type FlatArray;