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14 changes: 8 additions & 6 deletions python/paddle/distributed/collective.py
Original file line number Diff line number Diff line change
Expand Up @@ -1009,16 +1009,18 @@ def _parallel_linear(x,
name=name)

linear_out = linear(x)
startup_block = paddle.static.default_startup_program().global_block()
main_block = paddle.static.default_main_program().global_block()
startup_block.vars[linear.weight.name].is_distributed = True
main_block.vars[linear.weight.name].is_distributed = True
startup_block = paddle.static.default_startup_program().current_block()
main_block = paddle.static.default_main_program().current_block()
startup_block._find_var_recursive(linear.weight.name).is_distributed = True
main_block._find_var_recursive(linear.weight.name).is_distributed = True

# set is_distributed for splited bias
# if a linear layer is splited by row, each rank would hold a complete bias and they should be the same in each rank.
# if a linear layer is splited by col, the bias would also be split into each rank as its weight
if axis == 1 and linear._bias_attr != False:
startup_block.vars[linear.bias.name].is_distributed = True
main_block.vars[linear.bias.name].is_distributed = True
startup_block._find_var_recursive(
linear.bias.name).is_distributed = True
main_block._find_var_recursive(linear.bias.name).is_distributed = True

if not gather_out: return linear_out

Expand Down