RayOrch
Lightweight orchestration utilities for building asynchronous Ray pipelines with
RayModule, overlapped microbatch execution, and DAG-style scheduling.
Install
pip install rayorch
For development:
pip install -r requirements-dev.txt
Core Concepts
RayModule: wraps an operator class into Ray actors with optional replica dispatch and collect.OverlappedPipeline: graphless microbatch overlap with backpressure.DagPipeline/DagPipelineExecutor: explicit dependency DAG scheduling.
Minimal Example
from rayorch import OverlappedPipeline, RayModule
class AddOne:
def run(self, x):
return x + 1
class Pipe(OverlappedPipeline):
def __init__(self):
self.a = RayModule(AddOne, replicas=1).pre_init()
self.b = RayModule(AddOne, replicas=1).pre_init()
super().__init__(max_inflight=4)
def forward(self, x):
return self.b(self.a(x))
pipe = Pipe()
print(pipe([1, 2, 3])) # [3, 4, 5]
License
Apache-2.0. See LICENSE.
1 maintainer
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