Deeploy.Targets.Generic.Layers.SubLayer

Deeploy.Targets.Generic.Layers.SubLayer

Methods

`__init__`(maps)
`bind`(ctxt)	Attempt to bind the mapper; discard mapper if binding does not work
`broadcast`(ctxt[, default_channels_first])	Broadcasts the operator's shapes and updates the NetworkContext
`codeTransform`(ctxt[, verbose])	Apply CodeTransformations to associated mapper's binder
`computeOps`()	Returns the number of operations (1 MAC = 2 Ops) of this operator
`computeShapes`(inputShapes, outputShapes, ...)	Takes input and output shapes from the graph-representation and broadcasts them to a predefined layout
`discardCurrentMapper`()	Discard the current Mapper
`generate`(ctxt)	Invoke mapper's generate method
`parse`(ctxt, default_channels_first)	Iterate through all possible mappers and elect the first one that work
`resetDiscardedMappers`()	Reset all discarded mappers
`typeCheck`(ctxt)	Invokes the mapper's typeCheck method

Attributes

`maps`	All potential mappings of an ONNX Layer
`mapper`	The currently elected NodeMapper to represent this layer
`discardedMappers`	Set of all NodeMappers which cannot be used to represent this layer
`node`	The represented operator