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cinn(py-dsl): add ir context used in python dsl
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| Original file line number | Diff line number | Diff line change |
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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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