mirror of https://github.com/hpcaitech/ColossalAI
aibig-modeldata-parallelismdeep-learningdistributed-computingfoundation-modelsheterogeneous-traininghpcinferencelarge-scalemodel-parallelismpipeline-parallelism
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39 lines
925 B
39 lines
925 B
#!/usr/bin/env python |
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class Registry: |
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def __init__(self): |
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self._registry = dict() |
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def register(self, name): |
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assert name not in self._registry |
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def _regsiter(callable_): |
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self._registry[name] = callable_ |
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return _regsiter |
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def get_callable(self, name: str): |
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return self._registry[name] |
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def __iter__(self): |
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self._idx = 0 |
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self._len = len(self._registry) |
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self._names = list(self._registry.keys()) |
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return self |
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def __next__(self): |
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if self._idx < self._len: |
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key = self._names[self._idx] |
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callable_ = self._registry[key] |
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self._idx += 1 |
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return callable_ |
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else: |
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raise StopIteration |
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non_distributed_component_funcs = Registry() |
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model_paralle_component_funcs = Registry() |
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__all__ = ['non_distributed_component_funcs', 'model_paralle_component_funcs']
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