Apply deepseek cuda rope (#5385)
Co-authored-by: Yineng Zhang <me@zhyncs.com>
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@@ -645,7 +645,18 @@ class DeepseekScalingRotaryEmbedding(RotaryEmbedding):
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cache = torch.cat((cos, sin), dim=-1)
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return cache
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def forward(
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def forward_hip(self, *args, **kwargs):
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return self.forward_native(*args, **kwargs)
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def forward(self, *args, **kwargs):
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if torch._dynamo.is_compiling:
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return self.forward_native(*args, **kwargs)
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if _is_cuda_available:
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return self.forward_cuda(*args, **kwargs)
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else:
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return self.forward_native(*args, **kwargs)
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def forward_native(
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self,
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positions: torch.Tensor,
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query: torch.Tensor,
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