TensorData
An N-dimensional array of numbers.
The number of dimensions and their respective lengths is specified by the shape field.
The dimensions are ordered from outermost to innermost. For example, in the common case of
a 2D RGB Image, the shape would be [height, width, channel].
These dimensions are combined with an index to look up values from the buffer field,
which stores a contiguous array of typed values.
Fields fields
shape
Type: List of TensorDimension
The shape of the tensor, including optional names for each dimension.
buffer
Type: TensorBuffer
The content/data.
Arrow datatype arrow-datatype
Struct {
shape: List<Struct {
size: uint64
name: nullable utf8
}>
buffer: DenseUnion {
0 = "_null_markers": nullable null
1 = "U8": List<uint8>
2 = "U16": List<uint16>
3 = "U32": List<uint32>
4 = "U64": List<uint64>
5 = "I8": List<int8>
6 = "I16": List<int16>
7 = "I32": List<int32>
8 = "I64": List<int64>
9 = "F16": List<float16>
10 = "F32": List<float32>
11 = "F64": List<float64>
}
}