Rerun

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

TensorData

Arrow datatype arrow-datatype

Struct(
    "shape": non-null List(non-null UInt64)
    "names": List(non-null Utf8)
    "buffer": non-null Union(Dense,
        0: ("_null_markers": Null)
        1: ("U8": non-null List(non-null UInt8))
        2: ("U16": non-null List(non-null UInt16))
        3: ("U32": non-null List(non-null UInt32))
        4: ("U64": non-null List(non-null UInt64))
        5: ("I8": non-null List(non-null Int8))
        6: ("I16": non-null List(non-null Int16))
        7: ("I32": non-null List(non-null Int32))
        8: ("I64": non-null List(non-null Int64))
        9: ("F16": non-null List(non-null Float16))
        10: ("F32": non-null List(non-null Float32))
        11: ("F64": non-null List(non-null Float64))
    )
)

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