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fix a bug: Convert multi weight slice file #60

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fix a bug: Convert multi weight slice file #60

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13 changes: 8 additions & 5 deletions distserve/downloader/converter.py
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Original file line number Diff line number Diff line change
Expand Up @@ -114,13 +114,15 @@ def preprocess_llama2(tensor_dict: Dict[str, torch.Tensor])\
V_WEIGHT = PREFIX + "layers.{0}.self_attn.v_proj.weight"
O_WEIGHT = PREFIX + "layers.{0}.self_attn.o_proj.weight"

num_layers = max(int(regex.findall(x)[0]) for x in filter(regex.match, tensor_dict)) + 1

end_layers = max(int(regex.findall(x)[0]) for x in filter(regex.match, tensor_dict)) + 1
beg_layers = min(int(regex.findall(x)[0]) for x in filter(regex.match, tensor_dict))

head_dim = 128
num_q_heads = tensor_dict[Q_WEIGHT.format(0)].size(0) // head_dim
num_q_heads = tensor_dict[Q_WEIGHT.format(24)].size(0) // head_dim

# Coallesce wq, qk, qv into one tensor, layers.{i}.attention.wqkv.weight
for i in range(num_layers):

for i in range(beg_layers,end_layers):
q = tensor_dict[Q_WEIGHT.format(i)].T # [hidden_size, num_q_heads*head_dim]
k = tensor_dict[K_WEIGHT.format(i)].T # [hidden_size, num_kv_heads*head_dim]
v = tensor_dict[V_WEIGHT.format(i)].T # [hidden_size, num_kv_heads*head_dim]
Expand All @@ -131,7 +133,7 @@ def preprocess_llama2(tensor_dict: Dict[str, torch.Tensor])\
del tensor_dict[V_WEIGHT.format(i)]

# Transpose wo
for i in range(num_layers):
for i in range(beg_layers,end_layers):
tensor_dict[O_WEIGHT.format(i)] = \
tensor_dict[O_WEIGHT.format(i)].T.contiguous() # [num_q_heads*head_dim, hidden_size]

Expand Down Expand Up @@ -436,6 +438,7 @@ def convert_weights(
# Preprocess
print("Preprocessing")
preprocessor = PREPROCESSOR[model]
print(state_dict)
tensor_dict, num_q_heads, head_dim = preprocessor(state_dict)

# The final step: divide the weights and save them to files
Expand Down