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Support GQA for auto parallel #8234

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Apr 9, 2024
Merged

Support GQA for auto parallel #8234

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49 changes: 38 additions & 11 deletions paddlenlp/transformers/llama/modeling_auto.py
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Original file line number Diff line number Diff line change
Expand Up @@ -434,16 +434,40 @@ def forward(
if self.config.rope:
if self.use_fused_rope:
assert past_key_value is None, "fuse rotary not support cache kv for now"
batch_size, seq_length, num_heads, head_dim = query_states.shape
_, kv_seq_len, num_key_value_heads, _ = key_states.shape
cos, sin = self.rotary_emb(value_states, seq_len=kv_seq_len)
query_states, key_states, _ = fused_rotary_position_embedding(
query_states,
key_states,
v=None,
sin=sin,
cos=cos,
position_ids=position_ids,
use_neox_rotary_style=False,
)

paddle_version = float(paddle.__version__[:3])
if ((paddle_version != 0.0) and (paddle_version <= 2.6)) and (num_heads != num_key_value_heads):
query_states, _, _ = fused_rotary_position_embedding(
query_states,
None,
None,
sin=sin,
cos=cos,
position_ids=position_ids,
use_neox_rotary_style=False,
)
key_states, _, _ = fused_rotary_position_embedding(
key_states,
None,
None,
sin=sin,
cos=cos,
position_ids=position_ids,
use_neox_rotary_style=False,
)
else:
query_states, key_states, _ = fused_rotary_position_embedding(
query_states,
key_states,
v=None,
sin=sin,
cos=cos,
position_ids=position_ids,
use_neox_rotary_style=False,
)
else:
cos, sin = self.rotary_emb(value_states, seq_len=kv_seq_len)
# hack here, because elementwise infer spmd not support broadcast now
Expand All @@ -463,8 +487,11 @@ def forward(

# TODO(wj-Mcat): use broadcast strategy when n_kv_heads = 1
# repeat k/v heads if n_kv_heads < n_heads
key_states = repeat_kv(key_states, self.num_key_value_groups)
value_states = repeat_kv(value_states, self.num_key_value_groups)
# paddle version > 2.6 or develop support flash-attn with gqa/mqa
paddle_version = float(paddle.__version__[:3])
if (paddle_version != 0.0) and (paddle_version <= 2.6):
key_states = repeat_kv(key_states, self.num_key_value_groups)
value_states = repeat_kv(value_states, self.num_key_value_groups)

has_gradient = not (query_states.stop_gradient and key_states.stop_gradient and value_states.stop_gradient)
if (
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