github-actions[bot]
6e2ccc8b15
version: sunnypilot v2026.002.000 (staging) date: 2026-05-27T04:05:25 master commit: dfc3c98b226da57a653daf57131a8a3d66166fcb
29 lines
1.3 KiB
Python
29 lines
1.3 KiB
Python
from openpilot.sunnypilot.models.helpers import get_active_bundle
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from openpilot.sunnypilot.models.runners.model_runner import ModelRunner
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from openpilot.sunnypilot.models.runners.tinygrad.tinygrad_runner import TinygradRunner, TinygradSplitRunner
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from openpilot.sunnypilot.models.runners.constants import ModelType
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def get_model_runner() -> ModelRunner:
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"""
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Factory function to create and return the appropriate ModelRunner instance.
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Selects TinygradRunner, choosing TinygradSplitRunner if separate vision/policy
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models are detected in the active bundle.
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:return: An instance of a ModelRunner subclass (ONNXRunner, TinygradRunner, or TinygradSplitRunner).
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"""
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bundle = get_active_bundle()
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if bundle and bundle.models:
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model_types = {m.type.raw for m in bundle.models}
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# Check if the bundle uses separate vision and policy models (legacy or new split format)
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split_types = {ModelType.vision, ModelType.policy, ModelType.offPolicy, ModelType.onPolicy}
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if model_types & split_types:
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return TinygradSplitRunner()
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# Otherwise, assume a single model (likely supercombo)
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if bundle.models:
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return TinygradRunner(bundle.models[0].type.raw)
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# Default fallback to TinygradRunner with the supercombo type if bundle info is missing/incomplete
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return TinygradRunner(ModelType.supercombo)
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