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.
Rerun datatype rerun-datatype
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>
}
}