[Feat] Sage Attention Support for Triton kernel #929
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Thanks for your contribution! |
l1cacheDell
changed the title
paddlemix/triton_ops/triton_ops.py
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| PD_BUILD_OP(${op_name}) | ||
| .Inputs({"x", "k_tensor", "v_tensor", "q_scale", "k_scale"}) | ||
| .Outputs({"out_tensor", "lse_tensor"}) | ||
| .Attrs({"output_dtype: std::string", "tensor_layout: std::string", "return_lse: int"}) |
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lse需要吗？如果确认推理不需要的话是否可以删掉呢？
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sim: 0.9999207854270935, |
paddlemix/triton_ops/sageattn.py
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| "x": x, | ||
| "km@OPTIONAL": km, | ||
| } | ||
| out_int8 = helper.create_variable_for_type_inference(dtype=x.dtype) |
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这里应该是 out_int8 = helper.create_variable_for_type_inference(dtype="int8")?
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Support sage attention Triton kernel
so far stagely support
is_casual=Falsesituation.is_casual=Truewill be coming soon...