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[Loader]Adapting DeepSeek weights for PyTorch loading. #5373

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Merged
bukejiyu merged 1 commit into from
Dec 4, 2025
Merged

[Loader]Adapting DeepSeek weights for PyTorch loading. #5373

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5 changes: 3 additions & 2 deletions fastdeploy/model_executor/layers/linear.py
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Original file line number Diff line number Diff line change
Expand Up @@ -367,10 +367,11 @@ def weight_loader(self, param, loaded_weight, loaded_shard_id: Optional[str] = N
# loaded_shard_id == "kv_a"
param_shard_offset = self.output_sizes[0]
param_shard_size = self.output_sizes[1]

param_output_dim = True
if hasattr(param, "tensor_track"):
param_output_dim = param.tensor_track.output_dim
param.tensor_track.mark(start=param_shard_offset, end=param_shard_offset + param_shard_size)
param = slice_fn(param, True, start=param_shard_offset, end=param_shard_offset + param_shard_size)
param = slice_fn(param, param_output_dim, start=param_shard_offset, end=param_shard_offset + param_shard_size)
assert param.shape == loaded_weight.shape, (
f" Attempted to load weight ({loaded_weight.shape}) " f"into parameter ({param.shape})"
)
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