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fix: revert code to avoid no attribute problem (#827)

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Wen Sun 2023-08-23 02:55:16 +08:00 committed by GitHub
parent 14f9c72bfd
commit eedac9dba0
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1 changed files with 4 additions and 3 deletions
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vllm/model_executor/models/gpt_bigcode.py
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@ -259,6 +259,8 @@ class GPTBigCodeForCausalLM(nn.Module):
model_name_or_path: str,
cache_dir: Optional[str] = None,
use_np_cache: bool = False):
tensor_model_parallel_world_size = (
get_tensor_model_parallel_world_size())
tensor_model_parallel_rank = get_tensor_model_parallel_rank()
state_dict = self.state_dict()
@ -288,8 +290,7 @@ class GPTBigCodeForCausalLM(nn.Module):
hidden_size = self.config.hidden_size
head_size = hidden_size // total_num_heads
total_kv_size = head_size * total_num_kv_heads
num_heads = (total_num_heads //
self.tensor_model_parallel_world_size)
num_heads = total_num_heads // tensor_model_parallel_world_size
head_start = tensor_model_parallel_rank * num_heads
head_end = (tensor_model_parallel_rank + 1) * num_heads
@ -329,7 +330,7 @@ class GPTBigCodeForCausalLM(nn.Module):
if name == "transformer.wte.weight":
# Consider padding in the vocab size.
padded_vocab_size = param.shape[
0] * self.tensor_model_parallel_world_size
0] * tensor_model_parallel_world_size
num_extra_rows = padded_vocab_size - self.config.vocab_size
extra_rows = torch.empty(num_extra_rows,
loaded_weight.shape[1])