Update gemma.py
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1 changed files with 16 additions and 15 deletions
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@ -203,14 +203,15 @@ pass
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# https://github.com/huggingface/transformers/blob/main/src/transformers/models/llama/modeling_llama.py#L590
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def GemmaDecoderLayer_fast_forward(
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self,
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hidden_states: torch.Tensor,
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attention_mask: Optional[torch.Tensor] = None,
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position_ids: Optional[torch.LongTensor] = None,
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past_key_value: Optional[Tuple[torch.Tensor]] = None,
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output_attentions: Optional[bool] = False,
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use_cache: Optional[bool] = False,
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cache_position: Optional[torch.LongTensor] = None,
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**kwargs,
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hidden_states: torch.Tensor,
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causal_mask: Optional[xformers.attn_bias.BlockDiagonalCausalMask] = None,
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attention_mask: Optional[torch.Tensor] = None,
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position_ids: Optional[torch.LongTensor] = None,
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past_key_value: Optional[Tuple[torch.Tensor]] = None,
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output_attentions: Optional[bool] = False,
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use_cache: Optional[bool] = False,
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padding_mask: Optional[torch.LongTensor] = None,
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*args, **kwargs,
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):
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if False:#past_key_value is not None:
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do_prefill = not hasattr(self.self_attn, "paged_attention")
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@ -238,13 +239,13 @@ def GemmaDecoderLayer_fast_forward(
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# hidden_states = self.input_layernorm(hidden_states)
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hidden_states, self_attn_weights, present_key_value = self.self_attn(
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hidden_states=hidden_states,
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causal_mask=causal_mask,
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attention_mask=attention_mask,
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position_ids=position_ids,
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past_key_value=past_key_value,
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output_attentions=output_attentions,
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use_cache=use_cache,
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cache_position=cache_position,
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**kwargs,
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padding_mask=padding_mask,
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)
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hidden_states = residual + hidden_states
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@ -540,12 +541,12 @@ class FastGemmaModel(FastLlamaModel):
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@staticmethod
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def pre_patch():
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GemmaAttention .forward = GemmaAttention_fast_forward
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GemmaSdpaAttention .forward = GemmaAttention_fast_forward
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GemmaFlashAttention2.forward = GemmaAttention_fast_forward
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GemmaAttention .forward = LlamaAttention_fast_forward
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GemmaSdpaAttention .forward = LlamaAttention_fast_forward
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GemmaFlashAttention2.forward = LlamaAttention_fast_forward
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GemmaDecoderLayer .forward = GemmaDecoderLayer_fast_forward
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GemmaModel .forward = GemmaModel_fast_forward
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GemmaForCausalLM .forward = GemmaForCausalLM_fast_forward
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GemmaModel .forward = LlamaModel_fast_forward
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GemmaForCausalLM .forward = LlamaForCausalLM_fast_forward
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PeftModelForCausalLM.forward = PeftModelForCausalLM_fast_forward
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# Solves https://github.com/unslothai/unsloth/issues/168
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# Static KV Cache was introduced in 4.38.0, causing training to be much slower.
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