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[DRR] fused_gemm_epilogue_pass using C++ DRR (PaddlePaddle#58188)
* fix flashattn compile bug * add fused_gemm_epilogue pass * polish code * udate cmake
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paddle/fluid/pir/transforms/fused_gemm_epilogue_pass.cc
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| // Copyright (c) 2023 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. | ||
|
|
||
| #include "paddle/fluid/pir/transforms/fused_gemm_epilogue_pass.h" | ||
|
|
||
| #include "paddle/fluid/pir/drr/api/drr_pattern_base.h" | ||
| #include "paddle/pir/pass/pass.h" | ||
| #include "paddle/pir/pass/pass_registry.h" | ||
| #include "paddle/pir/pattern_rewrite/pattern_rewrite_driver.h" | ||
|
|
||
| namespace { | ||
|
|
||
| class FusedLinearPattern : public pir::drr::DrrPatternBase<FusedLinearPattern> { | ||
| public: | ||
| void operator()(pir::drr::DrrPatternContext *ctx) const override { | ||
| pir::drr::SourcePattern pat = ctx->SourcePattern(); | ||
| const auto &matmul = pat.Op("pd_op.matmul", | ||
| {{"transpose_x", pat.Attr("trans_x")}, | ||
| {"transpose_y", pat.Attr("trans_y")}}); | ||
| const auto &add = pat.Op("pd_op.add"); | ||
|
|
||
| pat.Tensor("tmp") = matmul(pat.Tensor("x"), pat.Tensor("w")); | ||
| pat.Tensor("out") = add(pat.Tensor("tmp"), pat.Tensor("bias")); | ||
|
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| pat.RequireNativeCall([&](const pir::drr::MatchContext &match_ctx) { | ||
| return (match_ctx.Tensor("w").Shape().size() == 2 && | ||
| match_ctx.Tensor("x").Shape().size() >= 2); | ||
| }); | ||
|
|
||
| pir::drr::ResultPattern res = pat.ResultPattern(); | ||
| const auto &act_attr = | ||
| res.Attr([](const pir::drr::MatchContext &match_ctx) -> std::any { | ||
| return "none"; | ||
| }); | ||
| const auto &fused_gemm_epilogue = res.Op("pd_op.fused_gemm_epilogue", | ||
| {{{"trans_x", pat.Attr("trans_x")}, | ||
| {"trans_y", pat.Attr("trans_y")}, | ||
| {"activation", act_attr}}}); | ||
| fused_gemm_epilogue( | ||
| {&res.Tensor("x"), &res.Tensor("w"), &res.Tensor("bias")}, | ||
| {&res.Tensor("out")}); | ||
| } | ||
| }; | ||
|
|
||
| class FusedLinearGradPattern | ||
| : public pir::drr::DrrPatternBase<FusedLinearGradPattern> { | ||
| public: | ||
| void operator()(pir::drr::DrrPatternContext *ctx) const override { | ||
| pir::drr::SourcePattern pat = ctx->SourcePattern(); | ||
| const auto &matmul = pat.Op("pd_op.matmul", | ||
| {{"transpose_x", pat.Attr("trans_x")}, | ||
| {"transpose_y", pat.Attr("trans_y")}}); | ||
| const auto &matmul_grad = pat.Op("pd_op.matmul_grad", | ||
| {{"transpose_x", pat.Attr("trans_x")}, | ||
| {"transpose_y", pat.Attr("trans_y")}}); | ||
| const auto &add = pat.Op("pd_op.add"); | ||
| const auto &add_grad = pat.Op("pd_op.add_grad"); | ||
|
|
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| pat.Tensor("tmp") = matmul(pat.Tensor("x"), pat.Tensor("w")); | ||
| pat.Tensor("out") = add(pat.Tensor("tmp"), pat.Tensor("bias")); | ||
| add_grad({&pat.Tensor("tmp"), &pat.Tensor("bias"), &pat.Tensor("out_grad")}, | ||
| {&pat.Tensor("tmp_grad"), &pat.Tensor("bias_grad")}); | ||
| matmul_grad({&pat.Tensor("x"), &pat.Tensor("w"), &pat.Tensor("tmp_grad")}, | ||
| {&pat.Tensor("x_grad"), &pat.Tensor("w_grad")}); | ||
|
|
||
| pat.RequireNativeCall([&](const pir::drr::MatchContext &match_ctx) { | ||
| return (match_ctx.Tensor("w").Shape().size() == 2 && | ||
| match_ctx.Tensor("x").Shape().size() >= 2); | ||
| }); | ||
|
|
||
| pir::drr::ResultPattern res = pat.ResultPattern(); | ||
| const auto &act_attr = | ||
| res.Attr([](const pir::drr::MatchContext &match_ctx) -> std::any { | ||
| return "none"; | ||
| }); | ||
| const auto &fused_gemm_epilogue = res.Op("pd_op.fused_gemm_epilogue", | ||
| {{{"trans_x", pat.Attr("trans_x")}, | ||
| {"trans_y", pat.Attr("trans_y")}, | ||
| {"activation", act_attr}}}); | ||
| const auto &fused_gemm_epilogue_grad = | ||
| res.Op("pd_op.fused_gemm_epilogue_grad", | ||
| {{{"trans_x", pat.Attr("trans_x")}, | ||
| {"trans_y", pat.Attr("trans_y")}, | ||
| {"activation_grad", act_attr}}}); | ||
| fused_gemm_epilogue( | ||
| {&res.Tensor("x"), &res.Tensor("w"), &res.Tensor("bias")}, | ||
| {&res.Tensor("out")}); | ||
| fused_gemm_epilogue_grad({&res.Tensor("x"), | ||
| &res.Tensor("w"), | ||
| &res.NoneTensor(), | ||
| &res.Tensor("out_grad")}, | ||
| {&res.Tensor("x_grad"), | ||
| &res.Tensor("w_grad"), | ||
| &res.Tensor("bias_grad")}); | ||
| } | ||
| }; | ||
|
|
||
| class FusedLinearGeluGradPattern | ||
| : public pir::drr::DrrPatternBase<FusedLinearGeluGradPattern> { | ||
| public: | ||
| void operator()(pir::drr::DrrPatternContext *ctx) const override { | ||
| pir::drr::SourcePattern pat = ctx->SourcePattern(); | ||
| const auto &fused_gemm_epilogue = | ||
| pat.Op("pd_op.fused_gemm_epilogue", | ||
| {{{"trans_x", pat.Attr("trans_x1")}, | ||
| {"trans_y", pat.Attr("trans_y1")}, | ||
| {"activation", pat.Attr("act1")}}}); | ||
| const auto &fused_gemm_epilogue_grad1 = | ||
| pat.Op("pd_op.fused_gemm_epilogue_grad", | ||
| {{{"trans_x", pat.Attr("trans_x2")}, | ||
| {"trans_y", pat.Attr("trans_y2")}, | ||
| {"activation_grad", pat.Attr("act2")}}}); | ||
| fused_gemm_epilogue( | ||
| {&pat.Tensor("x"), &pat.Tensor("w"), &pat.Tensor("bias")}, | ||
| {&pat.Tensor("fuse_out"), &pat.Tensor("reserve_space")}); | ||
| pat.Tensor("out") = pat.Op("pd_op.gelu")(pat.Tensor("fuse_out")); | ||
|
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| fused_gemm_epilogue_grad1({&pat.Tensor("x1"), | ||
| &pat.Tensor("w1"), | ||
| &pat.Tensor("reserve_space1"), | ||
| &pat.Tensor("out_grad")}, | ||
| {&pat.Tensor("x1_grad"), | ||
| &pat.Tensor("w1_grad"), | ||
| &pat.Tensor("bias1_grad")}); | ||
| pat.Tensor("gelu_dx") = pat.Op("pd_op.gelu_grad")(pat.Tensor("fuse_out"), | ||
| pat.Tensor("x1_grad")); | ||
|
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||
| pat.RequireNativeCall([&](const pir::drr::MatchContext &match_ctx) { | ||
| return match_ctx.Attr<std::string>("act1") == "none" && | ||
| match_ctx.Attr<std::string>("act2") == "none"; | ||
| }); | ||
|
|
||
| pir::drr::ResultPattern res = pat.ResultPattern(); | ||
| const auto &act_attr = | ||
| res.Attr([](const pir::drr::MatchContext &match_ctx) -> std::any { | ||
| return "gelu"; | ||
| }); | ||
| const auto &fused_gemm_epilogue_new = | ||
| res.Op("pd_op.fused_gemm_epilogue", | ||
| {{{"trans_x", pat.Attr("trans_x1")}, | ||
| {"trans_y", pat.Attr("trans_y1")}, | ||
| {"activation", act_attr}}}); | ||
| const auto &act_grad_attr = | ||
| res.Attr([](const pir::drr::MatchContext &match_ctx) -> std::any { | ||
| return "gelu_grad"; | ||
| }); | ||
| const auto &fused_gemm_epilogue_grad_new = | ||
| res.Op("pd_op.fused_gemm_epilogue_grad", | ||
| {{{"trans_x", pat.Attr("trans_x2")}, | ||
| {"trans_y", pat.Attr("trans_y2")}, | ||
| {"activation_grad", act_grad_attr}}}); | ||
| fused_gemm_epilogue_new( | ||
| {&res.Tensor("x"), &res.Tensor("w"), &res.Tensor("bias")}, | ||
| {&res.Tensor("out"), &res.Tensor("reserve_space2")}); | ||
| fused_gemm_epilogue_grad_new({&res.Tensor("x1"), | ||
| &res.Tensor("w1"), | ||
| &res.Tensor("reserve_space2"), | ||
| &res.Tensor("out_grad")}, | ||
| {&res.Tensor("gelu_dx"), | ||
| &res.Tensor("w1_grad"), | ||
| &res.Tensor("bias1_grad")}); | ||
| } | ||
| }; | ||
|
|
||
| class FusedLinearReluGradPattern | ||
| : public pir::drr::DrrPatternBase<FusedLinearReluGradPattern> { | ||
| public: | ||
| void operator()(pir::drr::DrrPatternContext *ctx) const override { | ||
| pir::drr::SourcePattern pat = ctx->SourcePattern(); | ||
| const auto &fused_gemm_epilogue = | ||
| pat.Op("pd_op.fused_gemm_epilogue", | ||
| {{{"trans_x", pat.Attr("trans_x1")}, | ||
| {"trans_y", pat.Attr("trans_y1")}, | ||
| {"activation", pat.Attr("act1")}}}); | ||
| const auto &fused_gemm_epilogue_grad = | ||
| pat.Op("pd_op.fused_gemm_epilogue_grad", | ||
| {{{"trans_x", pat.Attr("trans_x2")}, | ||
| {"trans_y", pat.Attr("trans_y2")}, | ||
| {"activation_grad", pat.Attr("act2")}}}); | ||
| const auto &fused_gemm_epilogue_grad1 = | ||
| pat.Op("pd_op.fused_gemm_epilogue_grad", | ||
| {{{"trans_x", pat.Attr("trans_x3")}, | ||
| {"trans_y", pat.Attr("trans_y3")}, | ||
| {"activation_grad", pat.Attr("act3")}}}); | ||
| fused_gemm_epilogue( | ||
| {&pat.Tensor("x"), &pat.Tensor("w"), &pat.Tensor("bias")}, | ||
| {&pat.Tensor("fuse_out"), &pat.Tensor("reserve_space")}); | ||
| pat.Tensor("out") = pat.Op("pd_op.relu")(pat.Tensor("fuse_out")); | ||
|
|
||
| fused_gemm_epilogue_grad1({&pat.Tensor("x1"), | ||
| &pat.Tensor("w1"), | ||
| &pat.Tensor("reserve_space2"), | ||
| &pat.Tensor("out_grad")}, | ||
| {&pat.Tensor("x1_grad"), | ||
| &pat.Tensor("w1_grad"), | ||
| &pat.Tensor("bias1_grad")}); | ||
| pat.Tensor("relu_dx") = | ||
| pat.Op("pd_op.relu_grad")(pat.Tensor("x1"), pat.Tensor("x1_grad")); | ||
| fused_gemm_epilogue_grad({&pat.Tensor("x"), | ||
| &pat.Tensor("w"), | ||
| &pat.Tensor("reserve_space1"), | ||
| &pat.Tensor("relu_dx")}, | ||
| {&pat.Tensor("x_grad"), | ||
| &pat.Tensor("w_grad"), | ||
| &pat.Tensor("bias_grad")}); | ||
|
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| pat.RequireNativeCall([&](const pir::drr::MatchContext &match_ctx) { | ||
| return match_ctx.Attr<std::string>("act1") == "none" && | ||
| match_ctx.Attr<std::string>("act3") == "none"; | ||
| }); | ||
|
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| pir::drr::ResultPattern res = pat.ResultPattern(); | ||
| const auto &act_attr = | ||
| res.Attr([](const pir::drr::MatchContext &match_ctx) -> std::any { | ||
| return "relu"; | ||
| }); | ||
| const auto &fused_gemm_epilogue_new = | ||
| res.Op("pd_op.fused_gemm_epilogue", | ||
| {{{"trans_x", pat.Attr("trans_x1")}, | ||
| {"trans_y", pat.Attr("trans_y1")}, | ||
| {"activation", act_attr}}}); | ||
| const auto &act_grad_attr = | ||
| res.Attr([](const pir::drr::MatchContext &match_ctx) -> std::any { | ||
| return "relu_grad"; | ||
| }); | ||
| const auto &fused_gemm_epilogue_grad1_new = | ||
| res.Op("pd_op.fused_gemm_epilogue_grad", | ||
| {{{"trans_x", pat.Attr("trans_x2")}, | ||
| {"trans_y", pat.Attr("trans_y2")}, | ||
| {"activation_grad", act_grad_attr}}}); | ||
| fused_gemm_epilogue_new( | ||
| {&res.Tensor("x"), &res.Tensor("w"), &res.Tensor("bias")}, | ||
| {&res.Tensor("out"), &res.Tensor("reserve_space3")}); | ||
| fused_gemm_epilogue_grad1_new({&res.Tensor("x1"), | ||
| &res.Tensor("w1"), | ||
| &res.Tensor("reserve_space3"), | ||
| &res.Tensor("out_grad")}, | ||
| {&res.Tensor("relu_dx"), | ||
| &res.Tensor("w1_grad"), | ||
| &res.Tensor("bias1_grad")}); | ||
| } | ||
| }; | ||
|
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| class FusedGemmEpiloguePass : public pir::Pass { | ||
| public: | ||
| FusedGemmEpiloguePass() : pir::Pass("FusedGemmEpiloguePass", 1) {} | ||
|
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| bool Initialize(pir::IrContext *context) override { | ||
| pir::RewritePatternSet ps(context); | ||
| ps.Add(FusedLinearGradPattern().Build(context)); | ||
| ps.Add(FusedLinearPattern().Build(context)); | ||
| ps.Add(FusedLinearGeluGradPattern().Build(context)); | ||
| ps.Add(FusedLinearReluGradPattern().Build(context)); | ||
|
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| patterns_ = pir::FrozenRewritePatternSet(std::move(ps)); | ||
| return true; | ||
| } | ||
|
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| void Run(pir::Operation *op) override { | ||
| pir::GreedyRewriteConfig cfg; | ||
| cfg.use_top_down_traversal = true; | ||
| cfg.max_iterations = 10; | ||
| pir::ApplyPatternsGreedily(op->region(0), patterns_, cfg); | ||
| } | ||
|
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| bool CanApplyOn(pir::Operation *op) const override { | ||
| return op->name() == "builtin.module" && op->num_regions() > 0; | ||
| } | ||
|
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| private: | ||
| pir::FrozenRewritePatternSet patterns_; | ||
| }; | ||
|
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| } // namespace | ||
|
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| namespace pir { | ||
|
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| std::unique_ptr<Pass> CreateFusedGemmEpiloguePass() { | ||
| return std::make_unique<FusedGemmEpiloguePass>(); | ||
| } | ||
|
|
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| } // namespace pir | ||
|
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| REGISTER_IR_PASS(fused_gemm_epilogue, FusedGemmEpiloguePass); |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,26 @@ | ||
| // Copyright (c) 2023 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/core/dll_decl.h" | ||
|
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| namespace pir { | ||
|
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| class Pass; | ||
|
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| IR_API std::unique_ptr<Pass> CreateFusedGemmEpiloguePass(); | ||
|
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| } // namespace pir |
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