mirror of https://github.com/hpcaitech/ColossalAI
38 lines
1.1 KiB
Python
38 lines
1.1 KiB
Python
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from colossalai.tensor import ComputePattern, ProcessGroup, ShardSpec, distspec
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from .colo_module import ColoModule
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class ColoEmbedding(ColoModule):
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def __init__(self):
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super(ColoEmbedding, self).__init__()
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self._register_shard_params(['weight'])
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def register(self, compute_pattern, pg: ProcessGroup):
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if not compute_pattern in self._allowed_patterns:
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if ComputePattern.TP1D == compute_pattern:
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self._set_TP1D(pg)
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def _set_TP1D(self, pg: ProcessGroup):
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# TP1D Row Linear
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_compute_pattern = ComputePattern.TP1D
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self._register_allowed_patterns(
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compute_pattern=_compute_pattern,
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dist_specs={
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'weight': ShardSpec([0], [pg.tp_world_size()]),
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},
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mode='row',
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)
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# TP1D Col Linear
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self._register_allowed_patterns(
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compute_pattern=_compute_pattern,
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dist_specs={
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'weight': ShardSpec([-1], [pg.tp_world_size()]),
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},
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mode='col',
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)
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self._set_default(compute_pattern=_compute_pattern, target_mode='row')
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