Update llama.py

This commit is contained in:
Daniel Han-Chen 2024-02-04 03:05:49 +11:00
commit 4a5d3b1de7

View file

@ -282,7 +282,6 @@ def LlamaAttention_fast_forward(
# Attention module
if (not HAS_FLASH_ATTENTION and attention_mask is None):
print(1)
# Xformers memory efficient attention
# Also has Flash Attention v2 dispatching
Q = Q.transpose(1, 2)
@ -310,7 +309,6 @@ def LlamaAttention_fast_forward(
V = V.transpose(1, 2)
A = flash_attn_func(Q, K, V, causal = True)
else:
print(2)
# Grouped query attention
if n_groups != 1:
K = K[:, :, None, :, :].expand(bsz, n_kv_heads, n_groups, kv_seq_len, head_dim)
@ -803,7 +801,7 @@ class FastLlamaModel:
f"\ / Bfloat16 = {str(SUPPORTS_BFLOAT16).upper()}. Xformers = {xformers_version}. FA = {HAS_FLASH_ATTENTION}.\n"\
f' "-____-" Free Apache license: http://github.com/unslothai/unsloth'
print(statistics)
FastLlamaModel.pre_patch()
# FastLlamaModel.pre_patch()
if dtype is None:
dtype = torch.float16 if not SUPPORTS_BFLOAT16 else torch.bfloat16