wehub-resource-sync
126 lines
3.9 KiB
Python
126 lines
3.9 KiB
Python
from typing import Dict
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# Users need to include their custom message type which will be embedded in the request.
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from ray import serve
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from ray.serve.generated import serve_pb2
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from ray.serve.handle import DeploymentHandle
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@serve.deployment
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class GrpcDeployment:
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def __call__(self, user_message):
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greeting = f"Hello {user_message.name} from {user_message.foo}"
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num_x2 = user_message.num * 2
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user_response = serve_pb2.UserDefinedResponse(
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greeting=greeting,
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num_x2=num_x2,
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)
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return user_response
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def Method1(self, user_message):
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greeting = f"Hello {user_message.name} from method1"
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num_x2 = user_message.num * 3
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user_response = serve_pb2.UserDefinedResponse(
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greeting=greeting,
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num_x2=num_x2,
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)
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return user_response
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def Streaming(self, user_message):
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for i in range(10):
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greeting = f"{i}: Hello {user_message.name} from {user_message.foo}"
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num_x2 = user_message.num * 2 + i
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user_response = serve_pb2.UserDefinedResponse(
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greeting=greeting,
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num_x2=num_x2,
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)
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yield user_response
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g = GrpcDeployment.options(name="grpc-deployment").bind()
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# NOTE: model multiplexing is kept on a separate deployment (not the shared `g`)
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# because it is not supported on the ingress deployment when direct ingress /
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# HAProxy is enabled (the multiplexed model ID is not propagated to the replica).
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# Tests that exercise it must be skipped under those modes.
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@serve.deployment
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class MultiplexedGrpcDeployment:
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def __call__(self, user_message):
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greeting = f"Hello {user_message.name} from {user_message.foo}"
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return serve_pb2.UserDefinedResponse(greeting=greeting)
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@serve.multiplexed(max_num_models_per_replica=1)
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async def get_model(self, model_id: str) -> str:
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return f"loading model: {model_id}"
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async def Method2(self, user_message):
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model_id = serve.get_multiplexed_model_id()
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model = await self.get_model(model_id)
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user_response = serve_pb2.UserDefinedResponse(
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greeting=f"Method2 called model, {model}",
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)
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return user_response
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multiplexed_g = MultiplexedGrpcDeployment.options(name="grpc-deployment").bind()
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@serve.deployment(ray_actor_options={"num_cpus": 0})
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class FruitMarket:
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def __init__(
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self,
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_orange_stand: DeploymentHandle,
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_apple_stand: DeploymentHandle,
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):
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self.directory = {
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"ORANGE": _orange_stand,
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"APPLE": _apple_stand,
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}
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async def FruitStand(self, fruit_amounts_proto):
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fruit_amounts = {}
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if fruit_amounts_proto.orange:
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fruit_amounts["ORANGE"] = fruit_amounts_proto.orange
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if fruit_amounts_proto.apple:
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fruit_amounts["APPLE"] = fruit_amounts_proto.apple
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if fruit_amounts_proto.banana:
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fruit_amounts["BANANA"] = fruit_amounts_proto.banana
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costs = await self.check_price(fruit_amounts)
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return serve_pb2.FruitCosts(costs=costs)
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async def check_price(self, inputs: Dict[str, int]) -> float:
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costs = 0
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for fruit, amount in inputs.items():
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if fruit not in self.directory:
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return
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fruit_stand = self.directory[fruit]
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costs += await fruit_stand.remote(int(amount))
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return costs
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@serve.deployment(ray_actor_options={"num_cpus": 0})
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class OrangeStand:
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def __init__(self):
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self.price = 2.0
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def __call__(self, num_oranges: int):
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return num_oranges * self.price
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@serve.deployment(ray_actor_options={"num_cpus": 0})
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class AppleStand:
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def __init__(self):
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self.price = 3.0
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def __call__(self, num_oranges: int):
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return num_oranges * self.price
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orange_stand = OrangeStand.bind()
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apple_stand = AppleStand.bind()
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g2 = FruitMarket.options(name="grpc-deployment-model-composition").bind(
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orange_stand, apple_stand
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)
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