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Update llama.py

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This commit is contained in:
Daniel Han-Chen 2024-01-27 04:15:37 +11:00
commit 9edc309f59
1 changed files with 3 additions and 3 deletions
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unsloth/models/llama.py
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@ -234,7 +234,7 @@ def LlamaAttention_fast_forward(
bsz, q_len, _ = hidden_states.size()
# Check for inference
if past_key_value is not None and q_len == 1 and bsz == 1:
if False:#past_key_value is not None and q_len == 1 and bsz == 1:
A, past_key_value = LlamaAttention_fast_forward_inference(
self,
hidden_states,
@ -350,7 +350,7 @@ def LlamaDecoderLayer_fast_forward(
past_key_value (`Tuple(torch.FloatTensor)`, *optional*): cached past key and value projection states
"""
bsz, q_len, hd = hidden_states.size()
if (past_key_value is not None and q_len == 1 and bsz == 1):
if False:#(past_key_value is not None and q_len == 1 and bsz == 1):
# Self Attention
residual = hidden_states
hidden_states = fast_rms_layernorm_inference(self.input_layernorm, hidden_states)
@ -489,7 +489,7 @@ def LlamaModel_fast_forward(
# Ignore attention_mask
if attention_mask is None:
padding_mask = None
elif True:#self.training:
elif self.training:
attention_mask = None
padding_mask = None
else: