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paddlepaddle--paddle/test/cpp/pir/pattern_rewrite/drr_fuse_linear_test.cc
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2026-07-13 12:40:42 +08:00

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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 <glog/logging.h>
#include <gtest/gtest.h>
#include <memory>
#include "paddle/fluid/pir/dialect/operator/ir/op_dialect.h"
#include "paddle/fluid/pir/dialect/operator/ir/pd_op.h"
#include "paddle/fluid/pir/transforms/gpu/fused_gemm_epilogue_pass.h"
#include "paddle/pir/include/core/builtin_dialect.h"
#include "paddle/pir/include/pass/pass_manager.h"
#include "paddle/pir/include/pattern_rewrite/pattern_rewrite_driver.h"
void BuildProgram(pir::Builder &builder) { // NOLINT
paddle::dialect::FullOp full_input_op1 =
builder.Build<paddle::dialect::FullOp>(
std::vector<int64_t>{1, 512, 64}, 1.5, phi::DataType::FLOAT16);
// linear 1
paddle::dialect::FullOp full_weight_op1 =
builder.Build<paddle::dialect::FullOp>(
std::vector<int64_t>{64, 64}, 1.5, phi::DataType::FLOAT16);
paddle::dialect::FullOp full_bias_op1 =
builder.Build<paddle::dialect::FullOp>(
std::vector<int64_t>{64}, 1.0, phi::DataType::FLOAT16);
paddle::dialect::MatmulOp matmul_op1 =
builder.Build<paddle::dialect::MatmulOp>(full_input_op1.out(),
full_weight_op1.out());
paddle::dialect::AddOp add_op1 = builder.Build<paddle::dialect::AddOp>(
matmul_op1.out(), full_bias_op1.out());
// linear 2
paddle::dialect::FullOp full_weight_op2 =
builder.Build<paddle::dialect::FullOp>(
std::vector<int64_t>{64, 128}, 1.5, phi::DataType::FLOAT16);
paddle::dialect::FullOp full_bias_op2 =
builder.Build<paddle::dialect::FullOp>(
std::vector<int64_t>{128}, 1.0, phi::DataType::FLOAT16);
paddle::dialect::MatmulOp matmul_op2 =
builder.Build<paddle::dialect::MatmulOp>(add_op1.out(),
full_weight_op2.out());
paddle::dialect::AddOp add_op2 = builder.Build<paddle::dialect::AddOp>(
matmul_op2.out(), full_bias_op2.out());
paddle::dialect::ReluOp relu_op =
builder.Build<paddle::dialect::ReluOp>(add_op2.out());
// linear 3
paddle::dialect::FullOp full_weight_op3 =
builder.Build<paddle::dialect::FullOp>(
std::vector<int64_t>{128, 64}, 1.5, phi::DataType::FLOAT16);
paddle::dialect::FullOp full_bias_op3 =
builder.Build<paddle::dialect::FullOp>(
std::vector<int64_t>{64}, 1.0, phi::DataType::FLOAT16);
paddle::dialect::MatmulOp matmul_op3 =
builder.Build<paddle::dialect::MatmulOp>(relu_op.out(),
full_weight_op3.out());
paddle::dialect::AddOp add_op3 = builder.Build<paddle::dialect::AddOp>(
matmul_op3.out(), full_bias_op3.out());
paddle::dialect::GeluOp gelu_op1 =
builder.Build<paddle::dialect::GeluOp>(add_op3.out());
// linear 4
paddle::dialect::FullOp full_weight_op4 =
builder.Build<paddle::dialect::FullOp>(
std::vector<int64_t>{64, 64}, 1.5, phi::DataType::FLOAT16);
paddle::dialect::FullOp full_bias_op4 =
builder.Build<paddle::dialect::FullOp>(
std::vector<int64_t>{64}, 1.0, phi::DataType::FLOAT16);
paddle::dialect::MatmulOp matmul_op4 =
builder.Build<paddle::dialect::MatmulOp>(gelu_op1.out(),
full_weight_op4.out());
paddle::dialect::AddOp add_op4 = builder.Build<paddle::dialect::AddOp>(
matmul_op4.out(), full_bias_op4.out());
paddle::dialect::GeluOp gelu_op2 =
builder.Build<paddle::dialect::GeluOp>(add_op4.out());
// backward
paddle::dialect::FullOp full_grad_op = builder.Build<paddle::dialect::FullOp>(
std::vector<int64_t>{1, 512, 64}, 1.0, phi::DataType::FLOAT16);
paddle::dialect::GeluGradOp gelu_op2_grad =
builder.Build<paddle::dialect::GeluGradOp>(
add_op4.out(), full_grad_op.out(), false);
// backward linear 4
paddle::dialect::AddGradOp add_op4_grad =
builder.Build<paddle::dialect::AddGradOp>(
matmul_op4.out(), full_bias_op4.out(), gelu_op2_grad.x_grad());
paddle::dialect::MatmulGradOp matmul_op4_grad =
builder.Build<paddle::dialect::MatmulGradOp>(
gelu_op1.out(), full_weight_op4.out(), add_op4_grad.x_grad());
paddle::dialect::GeluGradOp gelu_op1_grad =
builder.Build<paddle::dialect::GeluGradOp>(
add_op3.out(), matmul_op4_grad.x_grad(), false);
// backward linear 3
paddle::dialect::AddGradOp add_op3_grad =
builder.Build<paddle::dialect::AddGradOp>(
matmul_op3.out(), full_bias_op3.out(), gelu_op1_grad.x_grad());
paddle::dialect::MatmulGradOp matmul_op3_grad =
builder.Build<paddle::dialect::MatmulGradOp>(
relu_op.out(), full_weight_op3.out(), add_op3_grad.x_grad());
paddle::dialect::ReluGradOp relu_op_grad =
builder.Build<paddle::dialect::ReluGradOp>(relu_op.out(),
matmul_op3_grad.x_grad());
// backward linear 2
paddle::dialect::AddGradOp add_op2_grad =
builder.Build<paddle::dialect::AddGradOp>(
matmul_op2.out(), full_bias_op2.out(), relu_op_grad.x_grad());
paddle::dialect::MatmulGradOp matmul_op2_grad =
builder.Build<paddle::dialect::MatmulGradOp>(
add_op1.out(), full_weight_op2.out(), add_op2_grad.x_grad());
// backward linear 1
paddle::dialect::AddGradOp add_op1_grad =
builder.Build<paddle::dialect::AddGradOp>(
matmul_op1.out(), full_bias_op1.out(), matmul_op2_grad.x_grad());
paddle::dialect::MatmulGradOp matmul_op1_grad =
builder.Build<paddle::dialect::MatmulGradOp>(
full_input_op1.out(), full_weight_op1.out(), add_op1_grad.x_grad());
builder.Build<paddle::dialect::FetchOp>(gelu_op2.out(), "out", 0);
builder.Build<paddle::dialect::FetchOp>(matmul_op1_grad.x_grad(), "dx", 1);
}
TEST(DrrTest, FusedLinear) {
pir::IrContext *ctx = pir::IrContext::Instance();
ctx->GetOrRegisterDialect<paddle::dialect::OperatorDialect>();
ctx->GetOrRegisterDialect<pir::BuiltinDialect>();
pir::Program program(ctx);
pir::Builder builder = pir::Builder(ctx, program.block());
BuildProgram(builder);
EXPECT_EQ(program.block()->size(), 34u);
pir::PassManager pm(ctx);
pm.AddPass(pir::CreateFusedGemmEpiloguePass());
pm.EnablePassTiming();
pm.EnableIRPrinting();
PADDLE_ENFORCE_EQ(pm.Run(&program),
true,
common::errors::Unavailable("pm fail to run program"));
EXPECT_EQ(program.block()->size(), 22u);
}