Deeploy.CommonExtensions.CodeTransformationPasses.MemoryAllocation.MemoryPassthroughGeneration

class Deeploy.CommonExtensions.CodeTransformationPasses.MemoryAllocation.MemoryPassthroughGeneration(memoryHierarchyRegex: str | None = None)

Bases: MemoryManagementGeneration

Methods

__init__(memoryHierarchyRegex: str | None = None)

__init__([memoryHierarchyRegex])
apply(ctxt, executionBlock, name[, verbose])	Apply the CodeTransformation to an ExecutionBlock
dereferenceVars(template, varNames)
extractDynamicReferences(ctxt[, ...])
indexVars(template, varNames, index)
is_final_input(buffer, nodeName)
is_memory_level(buffer)
is_output(buffer, nodeName)
is_transient(buffer, nodeName)
topologicallySortBuffers(buffers)

Attributes

parseTreeDict

apply(ctxt: NetworkContext, executionBlock: ExecutionBlock, name: str, verbose: CodeGenVerbosity = CodeGenVerbosity(tilingProfiling=None, untiledProfiling=None)) → Tuple[NetworkContext, ExecutionBlock]

Apply the CodeTransformation to an ExecutionBlock

Parameters:

• ctxt (NetworkContext) – Current NetworkContext

• executionBlock (ExecutionBlock) – ExecutionBlock whose code you’d like to transform

• name (str) – Graph node name of the operator being targetted

• verbose (CodeGenVerbosity) – Control the verbosity of code generation

Returns:

Updated NetworkContext and ExecutionBlock

Return type:

Tuple[NetworkContext, ExecutionBlock]