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fix ernie vl distributed attr. #4217

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Merged
merged 1 commit into from
Sep 23, 2025
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fix ernie vl distributed attr. #4217

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16 changes: 2 additions & 14 deletions fastdeploy/model_executor/models/ernie4_5_vl/modeling_resampler.py
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Original file line number Diff line number Diff line change
Expand Up @@ -23,7 +23,7 @@
from paddle.autograd import PyLayer
from paddle.distributed.fleet.utils import recompute

from fastdeploy.model_executor.layers.utils import _set_var_distributed, get_tensor
from fastdeploy.model_executor.layers.utils import get_tensor
from fastdeploy.model_executor.models.ernie4_5_vl.dist_utils import (
RowSequenceParallelLinear,
all_gather_group,
Expand Down Expand Up @@ -197,19 +197,7 @@ def __init__(
self.after_norm = RMSNorm(out_config)

if self.tensor_parallel_degree > 1:
for idx in [2, 3]:
mark_as_sequence_parallel_parameter(self.spatial_linear[idx].weight)
mark_as_sequence_parallel_parameter(self.spatial_linear[idx].bias)
_set_var_distributed(self.spatial_linear[idx].weight, split_axis=0)
_set_var_distributed(self.spatial_linear[idx].bias, split_axis=0)
if self.use_temporal_conv:
for idx in [0, 2, 3]:
mark_as_sequence_parallel_parameter(self.temporal_linear[idx].weight)
mark_as_sequence_parallel_parameter(self.temporal_linear[idx].bias)

mark_as_sequence_parallel_parameter(self.mlp.weight)
mark_as_sequence_parallel_parameter(self.mlp.bias)
mark_as_sequence_parallel_parameter(self.after_norm.weight)

set_weight_attrs(self.spatial_linear[0].weight, {"output_dim": False})

def spatial_conv_reshape(self, x, spatial_conv_size):
Expand Down
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