Clean up the usage of flashinfer (#610)
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@@ -31,21 +31,13 @@ class RadixAttention(nn.Module):
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self.layer_id = layer_id
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if not global_server_args_dict.get("disable_flashinfer", False):
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self.prefill_forward = self.prefill_forward_flashinfer
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self.extend_forward = self.prefill_forward_flashinfer
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self.extend_forward = self.extend_forward_flashinfer
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self.decode_forward = self.decode_forward_flashinfer
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# flashinfer now accepts float logit_cap argument
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self.logit_cap = logit_cap if logit_cap is not None and logit_cap > 0 else 0
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else:
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self.prefill_forward = self.prefill_forward_triton
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self.extend_forward = self.extend_forward_triton
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self.decode_forward = self.decode_forward_triton
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self.logit_cap = logit_cap if logit_cap is not None else 0
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def prefill_forward_triton(self, q, k, v, input_metadata: InputMetadata):
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# In SGLang, we call both the typical "prefill" and "prefill with cache" as "extend".
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# See the extend_forward_xxx functions.
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raise NotImplementedError()
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self.logit_cap = logit_cap if logit_cap is not None and logit_cap > 0 else 0
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def extend_forward_triton(self, q, k, v, input_metadata: InputMetadata):
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o = torch.empty_like(q)
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@@ -86,7 +78,6 @@ class RadixAttention(nn.Module):
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input_metadata.start_loc,
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input_metadata.seq_lens,
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input_metadata.max_seq_len,
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input_metadata.other_kv_index,
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input_metadata.total_num_tokens,
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sm_scale=self.scaling,
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logit_cap=self.logit_cap,
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@@ -94,7 +85,7 @@ class RadixAttention(nn.Module):
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return o
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def prefill_forward_flashinfer(self, q, k, v, input_metadata: InputMetadata):
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def extend_forward_flashinfer(self, q, k, v, input_metadata: InputMetadata):
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o1, s1 = input_metadata.flashinfer_prefill_wrapper_ragged.forward_return_lse(
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q.contiguous().view(-1, self.tp_q_head_num, self.head_dim),
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k.contiguous().view(-1, self.tp_k_head_num, self.head_dim),
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