forked from tinygrad/tinygrad
gptoss: use fa swa (#17522)
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@@ -182,12 +182,12 @@ class GPTOSS:
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xq, xk = apply_rotary_emb(xq, xk, freqs_cis)
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xq, xk, xv = xq.cast(dtypes.bfloat16), xk.cast(dtypes.bfloat16), xv.cast(dtypes.bfloat16) # (B,N,H,D)/(B,N,KV,D)
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if sliding:
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attn = self._sliding_attention(xq, xk, xv, sinks)
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elif getenv("HK_FLASH_ATTENTION"):
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if getenv("HK_FLASH_ATTENTION"):
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from extra.thunder.amd.fa import flash_attention
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attn, *_ = flash_attention(xq, xk, xv, is_causal=True, write_flat=True, sinks=sinks)
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attn, *_ = flash_attention(xq, xk, xv, is_causal=True, write_flat=True, sinks=sinks, window=self.sliding_window if sliding else 0)
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attn = attn.reshape(bsz, seqlen, self.n_heads * self.head_dim)
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elif sliding:
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attn = self._sliding_attention(xq, xk, xv, sinks)
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else:
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xqm = xq.reshape(bsz, seqlen, self.n_kv_heads, self.n_rep, self.head_dim).permute(0, 2, 3, 1, 4)
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xkm, xvm = xk.permute(0, 2, 1, 3).unsqueeze(2), xv.permute(0, 2, 1, 3).unsqueeze(2)
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