paddlepaddle--paddle
212 行
7.6 KiB
C++
212 行
7.6 KiB
C++
// 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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#pragma once
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#include "paddle/fluid/pir/dialect/operator/ir/type_storage.h"
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#include "paddle/phi/common/int_array.h"
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#include "paddle/phi/common/scalar.h"
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#include "paddle/phi/core/attribute.h"
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#include "paddle/phi/core/enforce.h"
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#include "paddle/pir/include/core/builtin_attribute.h"
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#include "paddle/pir/include/core/builtin_type.h"
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#include "paddle/pir/include/core/value.h"
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namespace paddle {
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namespace dialect {
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using VariantType = phi::Attribute;
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// TODO(zhangbo): The builtin type needs to cover all data types of
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// phi::DataType.
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static inline phi::DataType TransToPhiDataType(pir::Type dtype) {
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if (dtype.isa<pir::UndefinedType>()) {
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return phi::DataType::UNDEFINED;
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} else if (dtype.isa<pir::BFloat16Type>()) {
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return phi::DataType::BFLOAT16;
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} else if (dtype.isa<pir::Float16Type>()) {
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return phi::DataType::FLOAT16;
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} else if (dtype.isa<pir::Float32Type>()) {
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return phi::DataType::FLOAT32;
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} else if (dtype.isa<pir::Float64Type>()) {
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return phi::DataType::FLOAT64;
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} else if (dtype.isa<pir::UInt8Type>()) {
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return phi::DataType::UINT8;
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} else if (dtype.isa<pir::Int8Type>()) {
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return phi::DataType::INT8;
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} else if (dtype.isa<pir::Int16Type>()) {
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return phi::DataType::INT16;
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} else if (dtype.isa<pir::Int32Type>()) {
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return phi::DataType::INT32;
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} else if (dtype.isa<pir::Int64Type>()) {
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return phi::DataType::INT64;
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} else if (dtype.isa<pir::IndexType>()) {
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return phi::DataType::INT32;
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} else if (dtype.isa<pir::BoolType>()) {
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return phi::DataType::BOOL;
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} else if (dtype.isa<pir::Complex64Type>()) {
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return phi::DataType::COMPLEX64;
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} else if (dtype.isa<pir::Complex128Type>()) {
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return phi::DataType::COMPLEX128;
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} else if (dtype.isa<pir::Float8E4M3FNType>()) {
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return phi::DataType::FLOAT8_E4M3FN;
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} else if (dtype.isa<pir::Float8E5M2Type>()) {
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return phi::DataType::FLOAT8_E5M2;
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} else {
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PADDLE_THROW(common::errors::Unimplemented(
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"Unsupported ir data type when casting it into "
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"phi data type."));
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}
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}
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// use phi::DataType::INT32 for IndexType from builtin type to phi::DataType,
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// but only use INT32 not IndexType from phi::DataType type to builtin type.
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static inline pir::Type TransToIrDataType(phi::DataType dtype,
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pir::IrContext* ctx = nullptr) {
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if (ctx == nullptr) {
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ctx = pir::IrContext::Instance();
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}
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switch (dtype) {
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case phi::DataType::UNDEFINED:
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return pir::UndefinedType::get(ctx);
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case phi::DataType::BFLOAT16:
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return pir::BFloat16Type::get(ctx);
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case phi::DataType::FLOAT16:
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return pir::Float16Type::get(ctx);
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case phi::DataType::FLOAT32:
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return pir::Float32Type::get(ctx);
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case phi::DataType::FLOAT64:
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return pir::Float64Type::get(ctx);
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case phi::DataType::UINT8:
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return pir::UInt8Type::get(ctx);
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case phi::DataType::INT8:
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return pir::Int8Type::get(ctx);
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case phi::DataType::INT16:
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return pir::Int16Type::get(ctx);
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case phi::DataType::INT32:
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return pir::Int32Type::get(ctx);
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case phi::DataType::INT64:
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return pir::Int64Type::get(ctx);
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case phi::DataType::BOOL:
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return pir::BoolType::get(ctx);
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case phi::DataType::COMPLEX64:
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return pir::Complex64Type::get(ctx);
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case phi::DataType::COMPLEX128:
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return pir::Complex128Type::get(ctx);
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case phi::DataType::FLOAT8_E4M3FN:
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return pir::Float8E4M3FNType::get(ctx);
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case phi::DataType::FLOAT8_E5M2:
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return pir::Float8E5M2Type::get(ctx);
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default:
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PADDLE_THROW(common::errors::Unimplemented(
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"Unsupported phi data type `%s` when casting it into "
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"ir data type.",
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dtype));
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}
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}
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static inline pir::Attribute TransToIrAttribute(phi::Scalar scalar,
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pir::IrContext* ctx = nullptr) {
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if (ctx == nullptr) {
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ctx = pir::IrContext::Instance();
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}
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switch (scalar.dtype()) {
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case phi::DataType::FLOAT32:
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return pir::FloatAttribute::get(ctx, scalar.to<float>());
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case phi::DataType::FLOAT64:
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return pir::DoubleAttribute::get(ctx, scalar.to<double>());
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case phi::DataType::INT32:
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return pir::Int32Attribute::get(ctx, scalar.to<int32_t>());
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case phi::DataType::INT64:
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return pir::Int64Attribute::get(ctx, scalar.to<int64_t>());
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case phi::DataType::BOOL:
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return pir::BoolAttribute::get(ctx, scalar.to<bool>());
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case phi::DataType::COMPLEX64:
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return pir::Complex64Attribute::get(
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ctx, scalar.to<phi::dtype::complex<float>>());
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case phi::DataType::COMPLEX128:
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return pir::Complex128Attribute::get(
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ctx, scalar.to<phi::dtype::complex<double>>());
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default:
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PADDLE_THROW(common::errors::Unimplemented(
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"Unsupported phi data type `%s` when casting it into "
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"ir attribute.",
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scalar.dtype()));
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}
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}
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VariantType GetAttributeData(const pir::Attribute& attr);
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paddle::any TransAttrToAny(const pir::Attribute& attr);
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bool IsLegacyOp(const std::string& name);
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bool IsEmptyValue(const pir::Value& value);
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std::vector<int64_t> GetInt64Vector(const pir::Attribute& attr);
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void CheckValueDataType(const pir::Value& value,
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const std::string& input_name,
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const std::string& op_name);
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void CheckVectorOfValueDataType(const std::vector<pir::Value>& vector_value,
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const std::string& input_name,
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const std::string& op_name);
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void CheckDataType(const phi::DataType& dtype,
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const std::string& dtype_name,
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const std::string& op_name);
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void CheckDataTypeOrValue(const phi::DataType& dtype,
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const std::string& dtype_name,
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const pir::Value& value,
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const std::string& value_name,
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const std::string& op_name);
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phi::DataType GetValueDataType(const pir::Value& value);
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std::vector<int64_t> ParseValueShape(const pir::Value& shape_,
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bool* is_from_tensor);
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const std::unordered_map<std::string, std::string>& CppTypeToAttrTypeMap();
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const std::unordered_map<std::string, phi::DataType>& StringToDataTypeMap();
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const std::unordered_map<std::string, phi::Place>& StringToPlaceMap();
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const std::unordered_map<std::string, DataLayout>& StringToDataLayoutMap();
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void SetStopGradient();
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void SetStopGradient(pir::Value* value);
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void SetStopGradient(std::vector<pir::Value>* values);
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void SetStopGradient(paddle::optional<pir::Value>* value);
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void SetStopGradient(paddle::optional<std::vector<pir::Value>>* values);
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template <typename T, typename... Args>
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void SetStopGradient(T value, Args... args) {
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SetStopGradient(&value);
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SetStopGradient(args...);
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}
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std::vector<std::vector<bool>> ConstructStopGradient(pir::Operation* op);
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bool CanGroupOpRunCpuKernel(const std::vector<pir::Value>& vec_inputs,
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const std::vector<pir::Value>& vec_output);
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} // namespace dialect
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} // namespace paddle
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