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Update llama.py

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This commit is contained in:
Daniel Han 2024-11-05 01:42:44 -08:00
commit e61a58a7a6
1 changed files with 2 additions and 3 deletions
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unsloth/models/llama.py
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@ -390,7 +390,7 @@ def LlamaAttention_fast_forward(
past_key_value = (K, V) if use_cache else None
# Attention module
if (not HAS_FLASH_ATTENTION and attention_mask is None):
if False:#(not HAS_FLASH_ATTENTION and attention_mask is None):
# Xformers memory efficient attention
# Also has Flash Attention v2 dispatching
Q = Q.transpose(1, 2)
@ -430,7 +430,7 @@ def LlamaAttention_fast_forward(
Q, K, V = Q.contiguous(), K.contiguous(), V.contiguous()
# Needs (batch_size, n_heads, seq_len, head_dim)
# is_casual and attention_mask must not be both set!
A = scaled_dot_product_attention(Q, K, V, attn_mask = attention_mask, is_causal = False)
A = scaled_dot_product_attention(Q, K, V, is_causal = True)
# Go back to (batch_size, seq_len, n_heads, head_dim)
A = A.transpose(1, 2).contiguous()
pass
@ -606,7 +606,6 @@ def LlamaModel_fast_forward(
# Embed positions
if inputs_embeds is None:
inputs_embeds = self.embed_tokens(input_ids)
inputs_embeds.requires_grad_(True)
# inputs_embeds = inputs_embeds.to(self.config.torch_dtype)
torch_dtype = __DTYPE_MAP.get(self.config.torch_dtype, None)