Deeploy.TilingExtension.TilerModel.TilerModel

class Deeploy.TilingExtension.TilerModel.TilerModel(copyIdxSuffix: str | None = None)

Bases: object

Methods

`__init__`([copyIdxSuffix])
`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”.