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ColossalAI/colossalai/nn/parallel/layers/linear.py

48 lines
1.7 KiB

from .colo_module import ColoModule
from colossalai.tensor import ComputePattern, distspec
from colossalai.core import global_context as gpc
from colossalai.context.parallel_mode import ParallelMode
class ColoLinear(ColoModule):
def __init__(self):
super(ColoLinear, self).__init__()
self._register_shard_params(['weight', 'bias'])
def register(self, compute_pattern):
if not compute_pattern in self._allowed_patterns:
if ComputePattern.TP1D == compute_pattern:
self._set_TP1D()
def _set_TP1D(self):
# TP1D Row Linear
_compute_pattern = ComputePattern.TP1D
self._register_allowed_patterns(
compute_pattern=_compute_pattern,
dist_specs={
'weight':
distspec.shard(gpc.get_group(ParallelMode.PARALLEL_1D), [-1],
[gpc.get_world_size(ParallelMode.PARALLEL_1D)]),
'bias':
None
},
mode='row',
)
# TP1D Col Linear
self._register_allowed_patterns(
compute_pattern=_compute_pattern,
dist_specs={
'weight':
distspec.shard(gpc.get_group(ParallelMode.PARALLEL_1D), [0],
[gpc.get_world_size(ParallelMode.PARALLEL_1D)]),
'bias':
distspec.shard(gpc.get_group(ParallelMode.PARALLEL_1D), [0],
[gpc.get_world_size(ParallelMode.PARALLEL_1D)])
},
mode='col',
)
self._set_default(compute_pattern=_compute_pattern, target_mode='row')