Inheritance diagram for iron.dataflow.cascadeflow.CascadeFlow:
Collaboration diagram for iron.dataflow.cascadeflow.CascadeFlow:
Public Member Functions | |
| __init__ (self, src, dst) | |
| None | resolve (self, loc=None, ip=None) |
 Public Member Functions inherited from iron.resolvable.Resolvable | |
| list | tiles (self) |
Protected Attributes | |
| _src | |
| _dst | |
Detailed Description
A directed cascade stream connection from one Worker to another.
Construct one of these for each cascade edge in your design::
CascadeFlow(producer_worker, consumer_worker)
Lowers to ``aie.cascade_flow(producer.tile, consumer.tile)`` after both
Workers are placed. The kernel functions are responsible for using the
``put_mcd`` / ``get_scd`` intrinsics to actually drive/read the cascade
stream — this object only declares the directed topology edge.
Hardware constraints (enforced by the underlying op verifier):
* Source and destination tiles must be cardinal-adjacent.
* Each compute tile has at most one cascade input (from N or W) and one
cascade output (to S or E). Multiple cascade outputs from the same
tile will fail at lowering, not at construction.
* ShimTiles and MemTiles do not have cascade interfaces.
Discovery: each newly-constructed CascadeFlow registers itself on its
*source* Worker's ``_outgoing_cascades`` list. ``Program.resolve()``
walks the runtime's workers and resolves each worker's outgoing
cascades after placement — no global registry, no drain step.
Constructor & Destructor Documentation
◆ __init__()
| iron.dataflow.cascadeflow.CascadeFlow.__init__ | ( | self, | |
| src, | |||
| dst | |||
| ) |
Construct a CascadeFlow.
Args:
src: Source ``Worker`` whose tile drives the cascade stream.
dst: Destination ``Worker`` whose tile reads the cascade stream.
Member Function Documentation
◆ resolve()
| None iron.dataflow.cascadeflow.CascadeFlow.resolve | ( | self, | |
loc = None, |
|||
ip = None |
|||
| ) |
Emit ``aie.cascade_flow(src.tile, dst.tile)``.
Reimplemented from iron.resolvable.Resolvable.
Member Data Documentation
◆ _dst
|
protected |
◆ _src
|
protected |
The documentation for this class was generated from the following file:
- iron/dataflow/cascadeflow.py
