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Add fused adaln scale residual xpu pass
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173 changes: 173 additions & 0 deletions
173
paddle/fluid/pir/transforms/xpu/fused_adaLN_scale_residual_xpu_pass.cc
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| // Copyright (c) 2024 PaddlePaddle Authors. All Rights Reserved. | ||
| // | ||
| // Licensed under the Apache License, Version 2.0 (the "License"); | ||
| // you may not use this file except in compliance with the License. | ||
| // You may obtain a copy of the License at | ||
| // | ||
| // http://www.apache.org/licenses/LICENSE-2.0 | ||
| // | ||
| // Unless required by applicable law or agreed to in writing, software | ||
| // distributed under the License is distributed on an "AS IS" BASIS, | ||
| // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| // See the License for the specific language governing permissions and | ||
| // limitations under the License. | ||
|
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| #include "paddle/fluid/pir/transforms/xpu/fused_adaLN_scale_residual_xpu_pass.h" | ||
| #include <optional> | ||
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| #include "paddle/fluid/pir/dialect/operator/ir/pd_op.h" | ||
| #include "paddle/fluid/pir/drr/include/drr_pattern_base.h" | ||
| #include "paddle/fluid/pir/utils/general_functions.h" | ||
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| #include "paddle/fluid/framework/scope.h" | ||
| #include "paddle/phi/core/dense_tensor.h" | ||
| #include "paddle/pir/include/pass/pass.h" | ||
| #include "paddle/pir/include/pass/pass_registry.h" | ||
| #include "paddle/pir/include/pattern_rewrite/pattern_match.h" | ||
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| /* | ||
| fuse adaln + scale_residual in to xpu_adalan_scale_residual op | ||
| For example: | ||
| graph: | ||
| ele_x | ||
| | ele_y | ||
| | / | ||
| elementwise_mul | ||
| | | ||
| | ele_z | ||
| | / | ||
| elementwise_add | ||
| | | ||
| | ele_u | ||
| | / | ||
| adaptive_layer_norm | ||
| | | ||
| | | ||
| out_Out | ||
| ------------------------------------------------------ | ||
| After the pass is applied: | ||
| ele_x | ||
| | ele_y | ||
| ele_u | / | ||
| \ | / | ||
| adaln_scale_residual_xpu_kernel ---- ele_z | ||
| | | ||
| | | ||
| | | ||
| Output | ||
| */ | ||
|
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| namespace { | ||
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| template <int act_type> | ||
| class FusedAdalnScaleResidualPattern : public paddle::drr::DrrPatternBase { | ||
| public: | ||
| std::string name() const override { return "FusedAdalnScaleResidualPattern"; } | ||
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| // rewrite pattern operator() | ||
| void operator()(paddle::drr::DrrPatternContext *ctx) const override { | ||
| paddle::drr::SourcePattern pat = ctx->SourcePattern(); | ||
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| // Patterns | ||
| const auto &multiply = pat.Op(paddle::dialect::MultiplyOp::name()); | ||
| const auto &add = pat.Op(paddle::dialect::AddOp::name()); | ||
| const auto &layernorm = | ||
| pat.Op(paddle::dialect::LayerNormOp::name(), | ||
| {{"epsilon", pat.Attr("epsilon")}, | ||
| {"begin_norm_axis", pat.Attr("begin_norm_axis")}}); | ||
| const auto &scale = | ||
| pat.Op(paddle::dialect::ScaleOp::name(), | ||
| {{"bias", pat.Attr("scale_bias")}, | ||
| {"bias_after_scale", pat.Attr("bias_after_scale")}}); | ||
| const auto &full = pat.Op(paddle::dialect::FullOp::name(), | ||
| {{"shape", pat.Attr("full_shape")}, | ||
| {"value", pat.Attr("full_value")}, | ||
| {"dtype", pat.Attr("full_dtype")}, | ||
| {"place", pat.Attr("full_place")}}); | ||
| // calling pattern | ||
| multiply({&pat.Tensor("x1"), &pat.Tensor("unsqueezed1")}, | ||
| {&pat.Tensor("final_output")}); | ||
| add({&pat.Tensor("final_output"), &pat.Tensor("x2")}, | ||
| {&pat.Tensor("final_output")}); | ||
| layernorm({&pat.Tensor("final_output"), &pat.Tensor("w"), &pat.Tensor("b")}, | ||
| {&pat.Tensor("final_output"), | ||
| &pat.Tensor("mean_out_0"), | ||
| &pat.Tensor("variance_out_0")}); | ||
| scale({&pat.Tensor("unsqueezed2"), &full()}, {&pat.Tensor("scale_out")}); | ||
| multiply({&pat.Tensor("final_output"), &pat.Tensor("scale_out")}, | ||
| {&pat.Tensor("final_output")}); | ||
| add({&pat.Tensor("final_output"), &pat.Tensor("unsqueezed3")}, | ||
| {&pat.Tensor("final_output")}); | ||
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| // Constraints | ||
| pat.AddConstraint([&](const paddle::drr::MatchContext &match_ctx) { | ||
| auto x_shape = pir::GetShapeFromValue(match_ctx.Tensor("x1")); | ||
| auto add_in_shape = pir::GetShapeFromValue(match_ctx.Tensor("x2")); | ||
| auto unsqueezed1_shape = | ||
| pir::GetShapeFromValue(match_ctx.Tensor("unsqueezed1")); | ||
| auto unsqueezed2_shape = | ||
| pir::GetShapeFromValue(match_ctx.Tensor("unsqueezed2")); | ||
| auto unsqueezed3_shape = | ||
| pir::GetShapeFromValue(match_ctx.Tensor("unsqueezed3")); | ||
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| // if ((x_shape.size() == scale_in_shape.size()) && | ||
| // (scale_in_shape.size() == add_in_shape.size())) { | ||
| // return true; | ||
| // }else { | ||
| // return false; | ||
| // } | ||
| return true; | ||
| }); | ||
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| // result pattern | ||
| paddle::drr::ResultPattern res = pat.ResultPattern(); | ||
| const auto &scale_weight = res.ComputeAttr( | ||
| [](const paddle::drr::MatchContext &match_ctx) -> float { | ||
| return match_ctx.Attr<double>("full_value"); | ||
| }); | ||
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| const auto &fused_adaLN_scale_residual_xpu_kernel = | ||
| res.Op(paddle::dialect::FusedAdalnScaleResidualXpuKernelOp::name(), | ||
| {{ | ||
| {"begin_norm_axis", pat.Attr("begin_norm_axis")}, | ||
| {"epsilon", pat.Attr("epsilon")}, | ||
| {"scale_weight", scale_weight}, | ||
| {"scale_bias", pat.Attr("scale_bias")}, | ||
| {"bias_after_scale", pat.Attr("bias_after_scale")}, | ||
| }}); | ||
| fused_adaLN_scale_residual_xpu_kernel( | ||
| { | ||
| &res.Tensor("x1"), | ||
| &res.Tensor("x2"), | ||
| &res.Tensor("unsqueeze1"), | ||
| &res.Tensor("unsqueeze2"), | ||
| &res.Tensor("unsqueeze3"), | ||
| &res.Tensor("w"), | ||
| &res.Tensor("b"), | ||
| }, | ||
| {&res.Tensor("final_output")}); | ||
| } | ||
| }; | ||
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| class FusedAdalnScaleResidualXpuPass : public pir::PatternRewritePass { | ||
| public: | ||
| FusedAdalnScaleResidualXpuPass() | ||
| : pir::PatternRewritePass("fused_adaLN_scale_residual_xpu_pass", 2) {} | ||
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| pir::RewritePatternSet InitializePatterns(pir::IrContext *context) override { | ||
| pir::RewritePatternSet ps(context); | ||
| ps.Add(paddle::drr::Create<FusedAdalnScaleResidualPattern>(context)); | ||
| return ps; | ||
| } | ||
| }; | ||
| } // namespace | ||
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| namespace pir { | ||
| std::unique_ptr<Pass> CreateFusedAdalnScaleResidualXpuPass() { | ||
| return std::make_unique<FusedAdalnScaleResidualXpuPass>(); | ||
| } | ||
| } // namespace pir | ||
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| REGISTER_IR_PASS(fused_adaLN_scale_residual_xpu_pass, | ||
| FusedAdalnScaleResidualXpuPass); |
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paddle/fluid/pir/transforms/xpu/fused_adaLN_scale_residual_xpu_pass.h
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| Original file line number | Diff line number | Diff line change |
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| @@ -0,0 +1,25 @@ | ||
| // Copyright (c) 2024 PaddlePaddle Authors. All Rights Reserved. | ||
| // | ||
| // Licensed under the Apache License, Version 2.0 (the "License"); | ||
| // you may not use this file except in compliance with the License. | ||
| // You may obtain a copy of the License at | ||
| // | ||
| // http://www.apache.org/licenses/LICENSE-2.0 | ||
| // | ||
| // Unless required by applicable law or agreed to in writing, software | ||
| // distributed under the License is distributed on an "AS IS" BASIS, | ||
| // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| // See the License for the specific language governing permissions and | ||
| // limitations under the License. | ||
|
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| #pragma once | ||
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| #include <memory> | ||
| #include "paddle/pir/include/core/dll_decl.h" | ||
| namespace pir { | ||
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| class Pass; | ||
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| IR_API std::unique_ptr<Pass> CreateFusedAdalnScaleResidualXpuPass(); | ||
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| } // namespace pir |
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