Update llama.py
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1 changed files with 2 additions and 2 deletions
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@ -234,7 +234,7 @@ def LlamaAttention_fast_forward(
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bsz, q_len, _ = hidden_states.size()
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# Check for inference
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if False:#past_key_value is not None and q_len == 1 and bsz == 1:
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if past_key_value is not None and q_len == 1 and bsz == 1:
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A, past_key_value = LlamaAttention_fast_forward_inference(
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self,
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hidden_states,
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@ -350,7 +350,7 @@ def LlamaDecoderLayer_fast_forward(
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past_key_value (`Tuple(torch.FloatTensor)`, *optional*): cached past key and value projection states
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"""
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bsz, q_len, hd = hidden_states.size()
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if False:#(past_key_value is not None and q_len == 1 and bsz == 1):
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if (past_key_value is not None and q_len == 1 and bsz == 1):
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# Self Attention
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residual = hidden_states
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hidden_states = fast_rms_layernorm_inference(self.input_layernorm, hidden_states)
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