mirror of
https://github.com/wassname/ray.git
synced 2026-06-28 04:55:04 +08:00
Simon Mo
48 lines
1.1 KiB
Python
48 lines
1.1 KiB
Python
from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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import numpy as np
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import ray
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from ray.experimental.serve import RayServeMixin, batched_input
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@ray.remote
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class VectorizedAdder(RayServeMixin):
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"""Actor that adds scaler_increment to input batch.
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result = np.array(input_batch) + scaler_increment
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"""
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def __init__(self, scaler_increment):
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self.inc = scaler_increment
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@batched_input
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def __call__(self, input_batch):
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arr = np.array(input_batch)
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arr += self.inc
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return arr.tolist()
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@ray.remote
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class ScalerAdder(RayServeMixin):
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"""Actor that adds a scaler_increment to a single input."""
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def __init__(self, scaler_increment):
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self.inc = scaler_increment
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def __call__(self, input_scaler):
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return input_scaler + self.inc
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@ray.remote
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class VectorDouble(RayServeMixin):
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"""Actor that doubles the batched input."""
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@batched_input
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def __call__(self, batched_vectors):
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matrix = np.array(batched_vectors)
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matrix *= 2
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return [v.tolist() for v in matrix]
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