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Merge pull request PaddlePaddle#15 from zyfncg/drr_opt
[DRR] support std::vector<int> attribute in DRR
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| @@ -0,0 +1,90 @@ | ||
| // 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/ir/pattern_rewrite/drr/ir_operation_creator.h" | ||
| #include "paddle/fluid/ir/dialect/pd_op.h" | ||
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| namespace ir { | ||
| namespace drr { | ||
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| Value GetIrValueByDrrTensor(const Tensor& tensor, | ||
| const MatchContextImpl& res_match_ctx) { | ||
| return res_match_ctx.GetIrValue(tensor.name()).get(); | ||
| } | ||
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| std::vector<Value> GetIrValuesByDrrTensors( | ||
| const std::vector<const Tensor*>& tensors, | ||
| const MatchContextImpl& res_match_ctx) { | ||
| std::vector<Value> ir_values; | ||
| ir_values.reserve(tensors.size()); | ||
| for (const auto* tensor : tensors) { | ||
| ir_values.push_back(GetIrValueByDrrTensor(*tensor, res_match_ctx)); | ||
| } | ||
| return ir_values; | ||
| } | ||
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| ir::AttributeMap CreateAttributeMap(const OpCall& op_call, | ||
| const MatchContextImpl& src_match_ctx) { | ||
| ir::AttributeMap attr_map; | ||
| for (const auto& kv : op_call.attributes()) { | ||
| attr_map[kv.first] = src_match_ctx.GetIrAttr(kv.second.name()); | ||
| } | ||
| return attr_map; | ||
| } | ||
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| template <typename T> | ||
| T GetAttr(const std::string& attr_name, | ||
| const OpCall& op_call, | ||
| const MatchContextImpl& src_match_ctx) { | ||
| return src_match_ctx.Attr<T>(op_call.attributes().at(attr_name).name()); | ||
| } | ||
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| Operation* CreateOperation(const OpCall& op_call, | ||
| const MatchContextImpl& src_match_ctx, | ||
| ir::PatternRewriter& rewriter, // NOLINT | ||
| MatchContextImpl* res_match_ctx) { | ||
| if (op_call.name() == "pd.reshape") { | ||
| const auto& inputs = op_call.inputs(); | ||
| std::vector<Value> ir_values = | ||
| GetIrValuesByDrrTensors(inputs, *res_match_ctx); | ||
| // TODO(zyfncg): support attr in build op. | ||
| Operation* reshape_op = rewriter.Build<paddle::dialect::ReshapeOp>( | ||
| ir_values[0].dyn_cast<ir::OpResult>(), | ||
| ir_values[1].dyn_cast<ir::OpResult>()); | ||
| res_match_ctx->BindIrValue( | ||
| op_call.outputs()[0]->name(), | ||
| std::make_shared<IrValue>(reshape_op->result(0))); | ||
| res_match_ctx->BindIrValue( | ||
| op_call.outputs()[1]->name(), | ||
| std::make_shared<IrValue>(reshape_op->result(1))); | ||
| return reshape_op; | ||
| } else if (op_call.name() == "pd.transpose") { | ||
| const auto& inputs = op_call.inputs(); | ||
| std::vector<Value> ir_values = | ||
| GetIrValuesByDrrTensors(inputs, *res_match_ctx); | ||
| Operation* transpose_op = rewriter.Build<paddle::dialect::TransposeOp>( | ||
| ir_values[0].dyn_cast<ir::OpResult>(), | ||
| GetAttr<std::vector<int>>("perm", op_call, src_match_ctx)); | ||
| res_match_ctx->BindIrValue( | ||
| op_call.outputs()[0]->name(), | ||
| std::make_shared<IrValue>(transpose_op->result(0))); | ||
| return transpose_op; | ||
| } | ||
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| LOG(ERROR) << "Unknown op " << op_call.name(); | ||
| return nullptr; | ||
| } | ||
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| } // namespace drr | ||
| } // namespace ir |
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