Python class

StaticDim

`StaticDim`

class max.graph.StaticDim(value)

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Bases: Dim

A static tensor dimension.

Static tensor dimensions will always have exactly the same value, and are key to good model performance.

The following example shows how static dimensions can be created implicitly:

from max.graph import TensorType
from max.dtype import DType
tensor = TensorType(DType.int64, (4, 5))

Converts valid input values to Dim.

dim: int

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The size of the static dimension.

static from_mlir(attr)

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Constructs a StaticDim from a builtin.IntegerAttr.

Parameters:: attr (TypedAttr) – The builtin.IntegerAttr to parse into a StaticDim.
Returns:: The StaticDim represented by the builtin.IntegerAttr.
Return type:: StaticDim

property parameters: Iterable[SymbolicDim]

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Lists the symbolic dimension names on which this dim depends.

to_mlir()

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Creates an mlir.Attribute representing this dimension.

This is used internally when constructing tensor MLIR types.