[PIR] Refine conditional_block op translator #59723
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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/fluid/framework/new_executor/instruction/select_input_instruction.h" | ||
| #include "paddle/fluid/framework/new_executor/instruction/instruction_util.h" | ||
| #include "paddle/fluid/framework/new_executor/new_executor_defs.h" | ||
| #include "paddle/fluid/framework/new_executor/pir_adaptor/pir_adaptor_util.h" | ||
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| namespace paddle { | ||
| namespace framework { | ||
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| SelectInputInstruction::SelectInputInstruction( | ||
| size_t id, | ||
| const platform::Place &place, | ||
| ::pir::Operation *op, | ||
| ValueExecutionInfo *value_exe_info) | ||
| : InstructionBase(id, place), op_(op) { | ||
| VLOG(6) << "construct select_input instruction"; | ||
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| std::unordered_map<pir::Value, std::vector<int>> inputs; | ||
| mask_ = value_exe_info->GetVarByValue(op->operand_source(0)); | ||
| inputs.emplace(op->operand_source(0), | ||
| GetValueIds(op->operand_source(0), *value_exe_info)); | ||
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| for (size_t i = 1; i < op->num_operands(); ++i) { | ||
| inputs_.push_back(value_exe_info->GetVarByValue(op->operand_source(i))); | ||
| inputs.emplace(op->operand_source(i), | ||
| GetValueIds(op->operand_source(i), *value_exe_info)); | ||
| } | ||
| SetInputs(inputs); | ||
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| std::unordered_map<pir::Value, std::vector<int>> outputs; | ||
| out_ = value_exe_info->GetVarByValue(op->result(0)); | ||
| outputs.emplace(op->result(0), GetValueIds(op->result(0), *value_exe_info)); | ||
| SetOutputs(outputs); | ||
| } | ||
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| inline int GetBranchNumber(const phi::DenseTensor &mask) { | ||
| PADDLE_ENFORCE_EQ( | ||
| mask.numel(), | ||
| 1, | ||
| phi::errors::Fatal("The numel of Input(Mask) in SelectInputOp or " | ||
| "SelectOutputOp must be 1. " | ||
| "But received %d, and it's shape is [%s].", | ||
| mask.numel(), | ||
| mask.dims())); | ||
| if (platform::is_cpu_place(mask.place())) { | ||
| return mask.data<int>()[0]; | ||
| } | ||
| // when platform::is_gpu_place(mask.place()) is true | ||
| std::unique_ptr<phi::DenseTensor> cpu_mask{new phi::DenseTensor()}; | ||
| #if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP) || \ | ||
| defined(PADDLE_WITH_CUSTOM_DEVICE) || defined(PADDLE_WITH_XPU) | ||
| framework::TensorCopySync(mask, platform::CPUPlace(), cpu_mask.get()); | ||
| #else | ||
| PADDLE_THROW(phi::errors::Fatal( | ||
| "This version of PaddlePaddle does NOT support GPU, " | ||
| "but got GPU tensor 'Mask' in SelectInputOp or SelectOutputOp. " | ||
| "Please compile PaddlePaddle WITH_GPU first.")); | ||
| #endif | ||
| return cpu_mask->data<int>()[0]; | ||
| } | ||
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| class AssignFunctor { | ||
| public: | ||
| explicit AssignFunctor(Variable *out) : out_(out) {} | ||
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| void operator()(const phi::DenseTensor &lod_tensor) const { | ||
| auto &out_tensor = *out_->GetMutable<phi::DenseTensor>(); | ||
| copy_tensor(lod_tensor, &out_tensor); | ||
| } | ||
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| void operator()(const phi::TensorArray &array) const { | ||
| auto &out_array = *out_->GetMutable<phi::TensorArray>(); | ||
| out_array.resize(array.size()); | ||
| for (size_t i = 0; i < array.size(); ++i) { | ||
| copy_tensor(array[i], &out_array[i]); | ||
| } | ||
| } | ||
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| void operator()(const phi::SelectedRows &rows) const { | ||
| phi::SelectedRows &out_rows = *out_->GetMutable<phi::SelectedRows>(); | ||
| out_rows.set_rows(rows.rows()); | ||
| out_rows.set_height(rows.height()); | ||
| auto &t = rows.value(); | ||
| auto *m = out_rows.mutable_value(); | ||
| TensorCopy(t, t.place(), m); | ||
| } | ||
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| template <typename T> | ||
| void operator()(const T &v UNUSED) const { | ||
| PADDLE_ENFORCE_EQ( | ||
| true, | ||
| false, | ||
| platform::errors::PermissionDenied( | ||
| "Not support type for assign op with type %s", typeid(T).name())); | ||
| } | ||
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| private: | ||
| void copy_tensor(const phi::DenseTensor &lod_tensor, | ||
| phi::DenseTensor *out) const { | ||
| if (!lod_tensor.IsInitialized()) return; | ||
|
Contributor
There was a problem hiding this comment. 这里为什么直接return了，而不是Throw Error? |
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| auto &out_tensor = *out; | ||
| TensorCopy(lod_tensor, lod_tensor.place(), &out_tensor); | ||
| out_tensor.set_lod(lod_tensor.lod()); | ||
| } | ||
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| Variable *out_; | ||
| }; | ||
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| void SelectInputInstruction::Run() { | ||
| VLOG(6) << "run select_input instruction"; | ||
| auto &mask = mask_->Get<phi::DenseTensor>(); | ||
| size_t output_branch = static_cast<size_t>(GetBranchNumber(mask)); | ||
| PADDLE_ENFORCE_LT( | ||
| output_branch, | ||
| inputs_.size(), | ||
| phi::errors::Fatal( | ||
| "Input 'Mask' in SelectInputOp is invalid. " | ||
| "'Mask' must be less than the size of input vector 'X'. " | ||
| "But received Mask = %d, X's size = %d.", | ||
| output_branch, | ||
| inputs_.size())); | ||
| Variable *selected = inputs_[output_branch]; | ||
| VisitVarType(*selected, AssignFunctor(out_)); | ||
| } | ||
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| } // namespace framework | ||
| } // namespace paddle | ||
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,52 @@ | ||
| // 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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| #pragma once | ||
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| #include <string> | ||
| #include "paddle/fluid/framework/new_executor/instruction/instruction_base.h" | ||
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| namespace paddle { | ||
| namespace framework { | ||
| class ValueExecutionInfo; | ||
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| class SelectInputInstruction : public InstructionBase { | ||
| public: | ||
| SelectInputInstruction(size_t id, | ||
| const platform::Place& place, | ||
| ::pir::Operation* op, | ||
| ValueExecutionInfo* value_exe_info); | ||
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| void Run() override; | ||
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| const std::string& Name() const override { return name_; } | ||
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| ::pir::Operation* Operation() const override { return op_; } | ||
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| private: | ||
| ::pir::Operation* op_; | ||
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| OpFuncType type_; | ||
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| std::string name_{"pd_op.select_input"}; | ||
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| Variable* mask_; // not owned | ||
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| std::vector<Variable*> inputs_; // not owned | ||
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| Variable* out_; // not owned | ||
| }; | ||
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| } // namespace framework | ||
| } // namespace paddle | ||
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建议改用make_unique