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cinn(py-dsl): add ir context used in python dsl (PaddlePaddle#57515)
拆分新特性:CINN Python DSL 单测和e2e测试在主开发PR上,详细见主开发PR描述 PaddlePaddle#56393 修改了IRCompare,支持对比IR的结构是否相同 封装了一些需要上下文信息才能构建的IR。 封装为IRContext类,开放出C++接口给Python层调用。包括下面的IR
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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. | ||
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#include "paddle/cinn/pybind/ir/ir.h" | ||
#include "paddle/cinn/pybind/ir/ir_context.h" | ||
namespace cinn { | ||
namespace pybind { | ||
void TensorStore(Expr tensor, Expr value, const std::vector<Expr>& indices) { | ||
// TODO(6clc): Check the compatibility of data types for tensor and value | ||
IRContext find_sch_block = | ||
IRBuilder::CurrentIRBuilder() | ||
.data_->FindContext<ScheduleBlockContextNode>(); | ||
if (!find_sch_block.data_.defined()) { | ||
IRContext sch_block(new ScheduleBlockContextNode()); | ||
sch_block.data_->EnterWithContext(); | ||
LinkToParentContext(ir::Store::Make(tensor, value, indices)); | ||
sch_block.data_->ExitWithContext(); | ||
return; | ||
} | ||
LinkToParentContext(ir::Store::Make(tensor, value, indices)); | ||
} | ||
std::vector<Expr> AxisMap(const std::string& kinds, | ||
const std::vector<Expr>& iter_expression) { | ||
std::vector<Expr> rets; | ||
CHECK_EQ(kinds.size(), iter_expression.size()); | ||
int n = iter_expression.size(); | ||
rets.reserve(n); | ||
for (int i = 0; i < n; i++) { | ||
char c = kinds.c_str()[i]; | ||
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// TODO(6clc): set bound of IterVar | ||
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Var iter_var = ir::_Var_::Make("iter_tmp", common::Int(32)); | ||
if (c == 'S') { | ||
iter_var->is_reduce_axis = false; | ||
} else if (c == 'R') { | ||
iter_var->is_reduce_axis = true; | ||
} else { | ||
LOG(FATAL) | ||
<< "kind of axis setting error, must be R(Reduce) or S(Spatial)"; | ||
} | ||
rets.push_back(SetScheduleBlockIterVar(iter_var, iter_expression[i])); | ||
} | ||
return rets; | ||
} | ||
Var SetScheduleBlockIterVar(Var iter_var, Expr expr) { | ||
IRContext cur_context = | ||
IRBuilder::CurrentIRBuilder() | ||
.data_->GetLastContext<ScheduleBlockContextNode>(); | ||
ScheduleBlockContextNode* cur_context_node = | ||
cur_context.As<ScheduleBlockContextNode>(); | ||
cur_context_node->iter_vars.push_back(iter_var); | ||
cur_context_node->iter_values.push_back(expr); | ||
return iter_var.operator Expr(); | ||
} | ||
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Expr Arg(const std::string& name, Var var) { | ||
IRContext ctx = | ||
IRBuilder::CurrentIRBuilder().data_->FindContext<LowerFuncContextNode>(); | ||
var->name = name; | ||
ctx.As<LowerFuncContextNode>()->args.emplace_back(var, | ||
ir::Argument::IO::kUnknown); | ||
return var.operator Expr(); | ||
} | ||
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Expr Arg(const std::string& name, ir::Buffer buffer) { | ||
IRContext ctx = | ||
IRBuilder::CurrentIRBuilder().data_->FindContext<LowerFuncContextNode>(); | ||
buffer->name = "_" + name; | ||
// TODO(6clc): Unify cinn compilation and runtime Type, | ||
// and add a Handle type to Var | ||
ctx.As<LowerFuncContextNode>()->args.emplace_back(buffer, | ||
ir::Argument::IO::kUnknown); | ||
return buffer.operator Expr(); | ||
} | ||
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IRContext Sequential(Expr min, Expr extent) { | ||
ForContextNode* for_ctx_node = new ForContextNode(); | ||
for_ctx_node->min = min; | ||
for_ctx_node->extent = extent; | ||
for_ctx_node->loop_var = ir::_Var_::Make("v", common::Int(32)); | ||
return IRContext(for_ctx_node); | ||
} | ||
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} // namespace pybind | ||
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} // namespace cinn |
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