chore: import upstream snapshot with attribution
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// Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#include <glog/logging.h>
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#include <gtest/gtest.h>
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#include <memory>
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#include <sstream>
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#include <string>
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#include <tuple>
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#include <unordered_map>
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#include "paddle/cinn/hlir/dialect/operator/ir/cinn_op.h"
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#include "paddle/cinn/hlir/dialect/operator/ir/op_attribute.h"
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#include "paddle/cinn/hlir/dialect/operator/ir/op_dialect.h"
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#include "paddle/cinn/hlir/framework/pir/compilation_task.h"
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#include "paddle/cinn/hlir/framework/pir/utils.h"
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#include "paddle/cinn/hlir/framework/pir_compiler.h"
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#include "paddle/fluid/pir/dialect/operator/ir/op_dialect.h"
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#include "paddle/fluid/pir/dialect/operator/ir/pd_api.h"
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#include "paddle/fluid/pir/dialect/operator/ir/pd_op.h"
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#include "paddle/pir/include/core/ir_context.h"
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#include "paddle/pir/include/core/program.h"
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using cinn::hlir::framework::pir::CompatibleInfo;
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using cinn::hlir::framework::pir::OpLoweringGroup;
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using cinn::hlir::framework::pir::OpLoweringGroupPtr;
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using ProgramInfo = std::tuple<std::shared_ptr<::pir::Program>,
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std::vector<OpLoweringGroupPtr>>;
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ProgramInfo BuildProgram(std::vector<int64_t> input_shape) {
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::pir::IrContext* ctx = ::pir::IrContext::Instance();
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ctx->GetOrRegisterDialect<paddle::dialect::OperatorDialect>();
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auto program = std::make_shared<::pir::Program>(ctx);
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::pir::Builder builder = ::pir::Builder(ctx, program->block());
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const float value_one = 1.0;
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auto full_op_x = builder.Build<paddle::dialect::FullOp>(
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input_shape, value_one, phi::DataType::FLOAT32, phi::GPUPlace());
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std::vector<OpLoweringGroupPtr> groups;
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const std::string fn_name = CompatibleInfo::GroupOpsName(
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std::initializer_list<::pir::Operation*>({full_op_x.operation()}));
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groups.emplace_back(std::make_shared<OpLoweringGroup>(
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std::initializer_list<::pir::Operation*>({full_op_x.operation()}),
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fn_name));
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groups.back()->mut_output_ops().insert(full_op_x.operation());
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return {program, groups};
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}
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// TODO(LiuYang): This test is temporarily
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// TEST(CompilationTask, Basic) {
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// auto prog_info = BuildProgram({4096, 128});
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// std::shared_ptr<::pir::Program> program = std::get<0>(prog_info);
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// LOG(INFO) << program->block()->size();
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// EXPECT_EQ(program->block()->size(), 1u);
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// std::stringstream ss;
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// program->Print(ss);
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// LOG(INFO) << ss.str();
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// auto target = cinn::common::DefaultNVGPUTarget();
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// auto scope = std::make_shared<cinn::hlir::framework::Scope>();
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// std::vector<GroupPtr> groups = std::get<1>(prog_info);
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// CHECK_EQ(groups.size(), 1);
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// cinn::hlir::framework::GroupCompilationContext compilation_context(
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// target, groups[0], scope);
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// cinn::hlir::framework::CompilationTask
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// compilation_task(&compilation_context); compilation_task.Lowering();
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// LOG(INFO) << compilation_context.PrintPredicate2Funcs();
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// compilation_task.CodegenAndJit();
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// auto instruction = compilation_task.BuildInstruction();
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// }
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// TEST(CompilationTask, CompileGroup) {
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// // Step 1: Construct pir::Program
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// int M = 4096, N = 128;
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// auto prog_info = BuildProgram({M, N});
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// std::shared_ptr<::pir::Program> program = std::get<0>(prog_info);
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// LOG(INFO) << program->block()->size();
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// EXPECT_EQ(program->block()->size(), 1u);
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// std::stringstream ss;
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// program->Print(ss);
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// LOG(INFO) << ss.str();
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// auto target = cinn::common::DefaultNVGPUTarget();
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// auto scope = std::make_shared<cinn::hlir::framework::Scope>();
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// std::vector<GroupPtr> groups = std::get<1>(prog_info);
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// CHECK_EQ(groups.size(), 1);
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// cinn::hlir::framework::PirCompiler ir_compiler(*program, target, scope);
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// auto runtime_program = ir_compiler.Build(groups);
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// // Step 3: Execute Runtime Instruction and check Scope.
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// ASSERT_NO_THROW(runtime_program->Execute());
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// for (auto& var_name : scope->var_names()) {
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// std::string name = {var_name.begin(), var_name.end()};
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// int64_t numel = scope->GetTensor(name)->shape().numel();
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// ASSERT_EQ(numel, M * N);
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// std::vector<float> data =
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// cinn::GetTensorData<float>(scope->GetTensor(name), target);
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// for (int i = 0; i < numel; ++i) {
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// ASSERT_EQ(data[i], 1.0);
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// }
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// }
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// }
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