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Add SwiGLU for auto Llama #8038

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Merged
wawltor merged 1 commit into from
Mar 2, 2024
Merged

Add SwiGLU for auto Llama #8038

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Add SwiGLU for auto Llama
  • Loading branch information
@From00
From00 committed Mar 1, 2024
commit 1b113be6308dc166c643cdb48bda03ceb8d2d3fe
16 changes: 13 additions & 3 deletions paddlenlp/transformers/llama/modeling_auto.py
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Original file line number Diff line number Diff line change
Expand Up @@ -32,6 +32,16 @@
except ImportError:
fused_rotary_position_embedding = None

try:
from paddle.incubate.nn.functional import swiglu
except ImportError:

def swiglu(x, y=None):
if y is None:
x, y = paddle.chunk(x, chunks=2, axis=-1)
return F.silu(x) * y


from paddlenlp.transformers.conversion_utils import (
StateDictNameMapping,
init_name_mappings,
Expand Down Expand Up @@ -228,10 +238,10 @@ def __init__(self, config, ipp: Optional[int] = None):

def forward(self, x):
if self.fuse_attention_ffn:
gate_out, up_out = paddle.chunk(self.gate_up_fused_proj(x), chunks=2, axis=-1)
out = self.down_proj(F.silu(gate_out) * up_out)
x = swiglu(self.gate_up_fused_proj(x))
else:
out = self.down_proj(F.silu(self.gate_proj(x)) * self.up_proj(x))
x = swiglu(self.gate_proj(x), self.up_proj(x))
out = self.down_proj(x)
return out


Expand Down
16 changes: 13 additions & 3 deletions paddlenlp/transformers/llama/modeling_auto_static.py
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Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -31,6 +31,16 @@
except ImportError:
fused_rotary_position_embedding = None

try:
from paddle.incubate.nn.functional import swiglu
except ImportError:

def swiglu(x, y=None):
if y is None:
x, y = paddle.chunk(x, chunks=2, axis=-1)
return F.silu(x) * y


from paddlenlp.transformers.conversion_utils import (
StateDictNameMapping,
init_name_mappings,
Expand Down Expand Up @@ -242,10 +252,10 @@ def forward(self, x):
fleet.auto.shard_tensor(self.down_proj.weight, *get_dist_attr(["mp", None], self.ipp))

if self.fuse_attention_ffn:
gate_out, up_out = paddle.chunk(self.gate_up_fused_proj(x), chunks=2, axis=-1)
out = self.down_proj(F.silu(gate_out) * up_out)
x = swiglu(self.gate_up_fused_proj(x))
else:
out = self.down_proj(F.silu(self.gate_proj(x)) * self.up_proj(x))
x = swiglu(self.gate_proj(x), self.up_proj(x))
out = self.down_proj(x)
return out


Expand Down