Deeploy.TilingExtension.TilerModel.TilerModel

class Deeploy.TilingExtension.TilerModel.TilerModel(copyIdxSuffix: str | None = None, searchStrategy: Literal['min', 'max', 'random-max'] = 'random-max')

Bases: object

Methods

__init__(copyIdxSuffix: str | None = None, searchStrategy: Literal['min', 'max', 'random-max'] = 'random-max')

__init__([copyIdxSuffix, searchStrategy])
addConstraint(constraintExpression[, ...])
addMinTileSizeConstraint(...[, prefix, strategy])
addObjective(objective, objectiveType)
addTensorDimToModel(ctxt, tensorName[, copyIdx])	Add every dimensions of an unseen tensors in the given list as Integer Variable of the Model and the context.
addTensorNumOfEltToModel(ctxt, tensorName[, ...])	For each tensor in the given list, add a variable equal to the product of dimension variables of this tensor.
addTileSizeDivisibleConstraint(...[, ...])
addTransientBufferSizeToModel(tensorName, ...)
addVariable(name, lowerBound, upperBound[, ...])
debugConstraints()
existsCopyIdx(name[, copyIdx])
getNameCopyIdx(variableName)
getTensorDimVar(tensorName, dimIdx[, copyIdx])
getTensorNumberOfEltVar(tensorName[, copyIdx])
getVariable(name[, copyIdx])
trySolveModel()

addTensorDimToModel(ctxt: NetworkContext, tensorName: str, copyIdx: int | None = None)

Add every dimensions of an unseen tensors in the given list as Integer Variable of the Model and the context. Namespace of added variables is: f”{tensor.name}_dim_{idx}”.

addTensorNumOfEltToModel(ctxt: NetworkContext, tensorName: str, copyIdx: int | None = None)

For each tensor in the given list, add a variable equal to the product of dimension variables of this tensor. Namespace of those new variables are f”{tensor.name}_num_elements”.