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paddlepaddle--paddle/paddle/fluid/pir/dialect/kernel/ir/kernel_dialect.cc
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2026-07-13 12:40:42 +08:00

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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.
#include "paddle/fluid/pir/dialect/kernel/ir/kernel_dialect.h"
#include "paddle/common/ddim.h"
#include "paddle/common/macros.h"
#include "paddle/fluid/pir/dialect/kernel/ir/kernel_attribute.h"
#include "paddle/fluid/pir/dialect/kernel/ir/kernel_op.h"
#include "paddle/fluid/pir/dialect/kernel/ir/kernel_type.h"
#include "paddle/phi/common/place.h"
#include "paddle/pir/include/core/ir_printer.h"
REGISTER_FILE_SYMBOLS(kernel_dialect);
namespace paddle::dialect {
void PrintKernelType(pir::Type type, std::ostream &os) {
if (type.isa<AllocatedDenseTensorType>()) {
AllocatedDenseTensorType tensor_type =
type.dyn_cast<AllocatedDenseTensorType>();
os << phi::AllocationTypeStr(tensor_type.place().GetType()) << "_";
os << "tensor<";
for (auto d : common::vectorize(tensor_type.dims())) {
os << d;
os << "x";
}
tensor_type.dtype().Print(os);
os << ">";
} else if (type.isa<AllocatedSelectedRowsType>()) {
AllocatedSelectedRowsType tensor_type =
type.dyn_cast<AllocatedSelectedRowsType>();
os << phi::AllocationTypeStr(tensor_type.place().GetType()) << "_";
os << "tensor<";
for (auto d : common::vectorize(tensor_type.dims())) {
os << d;
os << "x";
}
tensor_type.dtype().Print(os);
os << ">";
} else if (type.isa<AllocatedDenseTensorArrayType>()) {
AllocatedDenseTensorArrayType tensor_array_type =
type.dyn_cast<AllocatedDenseTensorArrayType>();
os << phi::AllocationTypeStr(tensor_array_type.place().GetType()) << "_";
os << "tensor_array<";
tensor_array_type.dtype().Print(os);
os << ">";
} else if (type.isa<AllocatedSparseCooTensorType>()) {
AllocatedSparseCooTensorType sparse_coo_tensor_type =
type.dyn_cast<AllocatedSparseCooTensorType>();
os << phi::AllocationTypeStr(sparse_coo_tensor_type.place().GetType())
<< "_";
os << "sparse_coo_tensor_type<";
sparse_coo_tensor_type.dtype().Print(os);
os << ">";
} else if (type.isa<AllocatedSparseCsrTensorType>()) {
AllocatedSparseCsrTensorType sparse_csr_tensor_type =
type.dyn_cast<AllocatedSparseCsrTensorType>();
os << phi::AllocationTypeStr(sparse_csr_tensor_type.place().GetType())
<< "_";
os << "sparse_csr_tensor_type<";
sparse_csr_tensor_type.dtype().Print(os);
os << ">";
}
}
void PrintKernelAttribute(pir::Attribute attr, std::ostream &os) {
phi::KernelKey kernel = attr.dyn_cast<KernelAttribute>().data();
os << "<backend:" << kernel.backend() << "|layout:" << kernel.layout()
<< "|dtype:" << kernel.dtype() << ">";
}
KernelDialect::KernelDialect(pir::IrContext *context)
: pir::Dialect(name(), context, pir::TypeId::get<KernelDialect>()) {
initialize();
}
void KernelDialect::initialize() {
RegisterTypes<paddle::dialect::AllocatedDenseTensorType,
paddle::dialect::AllocatedSelectedRowsType,
paddle::dialect::AllocatedSparseCooTensorType,
paddle::dialect::AllocatedSparseCsrTensorType,
paddle::dialect::AllocatedDenseTensorArrayType>();
RegisterOps<dialect::PhiKernelOp, dialect::LegacyKernelOp>();
RegisterAttributes<paddle::dialect::KernelAttribute>();
}
void KernelDialect::PrintType(pir::Type type, std::ostream &os) const {
PrintKernelType(type, os);
}
void KernelDialect::PrintAttribute(pir::Attribute attr,
std::ostream &os) const {
PrintKernelAttribute(attr, os);
}
pir::OpPrintFn KernelDialect::PrintOperation(const pir::Operation &op) const {
if (op.dyn_cast<PhiKernelOp>() || op.dyn_cast<LegacyKernelOp>()) {
return [](const pir::Operation &op, pir::IrPrinter &printer) {
auto &os = printer.os;
printer.PrintOpResult(op);
os << " =";
if (auto phi_kernel_op = op.dyn_cast<PhiKernelOp>()) {
std::string kernel_name = phi_kernel_op.kernel_name();
if (op.attributes().count("is_inplace") != 0 &&
op.attributes()
.at("is_inplace")
.dyn_cast<pir::BoolAttribute>()
.data()) {
kernel_name = kernel_name + "_";
}
os << " \"" << kernel_name << "(phi_kernel)\"";
} else {
auto legacy_kernel_op = op.dyn_cast<LegacyKernelOp>();
std::string kernel_name = legacy_kernel_op.kernel_name();
if (op.attributes().count("is_inplace") != 0 &&
op.attributes()
.at("is_inplace")
.dyn_cast<pir::BoolAttribute>()
.data()) {
kernel_name = kernel_name + "_";
}
os << " \"" << kernel_name << "(legacy_kernel)\"";
}
printer.PrintOpOperands(op);
printer.PrintAttributeMap(op);
os << " :";
printer.PrintOperandsType(op);
os << " -> ";
printer.PrintOpReturnType(op);
};
}
return nullptr;
}
CustomKernelDialect::CustomKernelDialect(pir::IrContext *context)
: pir::Dialect(name(), context, pir::TypeId::get<CustomKernelDialect>()) {
initialize();
}
void CustomKernelDialect::initialize() {
RegisterOps<dialect::CustomKernelOp>();
}
void CustomKernelDialect::PrintType(pir::Type type, std::ostream &os) const {
PrintKernelType(type, os);
}
void CustomKernelDialect::PrintAttribute(pir::Attribute attr,
std::ostream &os) const {
PrintKernelAttribute(attr, os);
}
pir::OpPrintFn CustomKernelDialect::PrintOperation(
const pir::Operation &op) const {
return [](const pir::Operation &op, pir::IrPrinter &printer) {
auto &os = printer.os;
printer.PrintOpResult(op);
os << " =";
auto custom_kernel_op = op.dyn_cast<CustomKernelOp>();
std::string kernel_name = custom_kernel_op.kernel_name();
if (op.attributes().count("is_inplace") != 0 &&
op.attributes()
.at("is_inplace")
.dyn_cast<pir::BoolAttribute>()
.data()) {
kernel_name = kernel_name + "_";
}
os << " \"" << kernel_name << "(custom_kernel)\"";
printer.PrintOpOperands(op);
printer.PrintAttributeMap(op);
os << " :";
printer.PrintOperandsType(op);
os << " -> ";
printer.PrintOpReturnType(op);
};
}
PythonFunctionDialect::PythonFunctionDialect(pir::IrContext *context)
: pir::Dialect(name(), context, pir::TypeId::get<PythonFunctionDialect>()) {
initialize();
}
void PythonFunctionDialect::initialize() {
RegisterOps<dialect::PythonFunctionOp>();
}
void PythonFunctionDialect::PrintType(pir::Type type, std::ostream &os) const {
PrintKernelType(type, os);
}
void PythonFunctionDialect::PrintAttribute(pir::Attribute attr,
std::ostream &os) const {
PrintKernelAttribute(attr, os);
}
pir::OpPrintFn PythonFunctionDialect::PrintOperation(
const pir::Operation &op) const {
return [](const pir::Operation &op, pir::IrPrinter &printer) {
auto &os = printer.os;
printer.PrintOpResult(op);
os << " =";
auto py_func_op = op.dyn_cast<PythonFunctionOp>();
std::string kernel_name = py_func_op.kernel_name();
if (op.attributes().count("is_inplace") != 0 &&
op.attributes()
.at("is_inplace")
.dyn_cast<pir::BoolAttribute>()
.data()) {
kernel_name = kernel_name + "_";
}
os << " \"" << kernel_name << "(py_func)\"";
printer.PrintOpOperands(op);
printer.PrintAttributeMap(op);
os << " :";
printer.PrintOperandsType(op);
os << " -> ";
printer.PrintOpReturnType(op);
};
}
#ifdef PADDLE_WITH_DNNL
OneDNNKernelDialect::OneDNNKernelDialect(pir::IrContext *context)
: pir::Dialect(name(), context, pir::TypeId::get<OneDNNKernelDialect>()) {
initialize();
}
void OneDNNKernelDialect::initialize() {
RegisterOps<dialect::OneDNNPhiKernelOp,
dialect::OneDNNMixedPhiKernelOp,
dialect::OneDNNLegacyKernelOp>();
}
void OneDNNKernelDialect::PrintType(pir::Type type, std::ostream &os) const {
PrintKernelType(type, os);
}
void OneDNNKernelDialect::PrintAttribute(pir::Attribute attr,
std::ostream &os) const {
PrintKernelAttribute(attr, os);
}
pir::OpPrintFn OneDNNKernelDialect::PrintOperation(
const pir::Operation &op) const {
if (op.dyn_cast<PhiKernelOp>() || op.dyn_cast<LegacyKernelOp>()) {
return [](const pir::Operation &op, pir::IrPrinter &printer) {
auto &os = printer.os;
printer.PrintOpResult(op);
os << " =";
if (auto phi_kernel_op = op.dyn_cast<PhiKernelOp>()) {
std::string kernel_name = phi_kernel_op.kernel_name();
if (op.attributes().count("is_inplace") != 0 &&
op.attributes()
.at("is_inplace")
.dyn_cast<pir::BoolAttribute>()
.data()) {
kernel_name = kernel_name + "_";
}
os << " \"" << kernel_name << "(phi_kernel)\"";
} else {
auto legacy_kernel_op = op.dyn_cast<LegacyKernelOp>();
std::string kernel_name = legacy_kernel_op.kernel_name();
if (op.attributes().count("is_inplace") != 0 &&
op.attributes()
.at("is_inplace")
.dyn_cast<pir::BoolAttribute>()
.data()) {
kernel_name = kernel_name + "_";
}
os << " \"" << kernel_name << "(legacy_kernel)\"";
}
printer.PrintOpOperands(op);
printer.PrintAttributeMap(op);
os << " :";
printer.PrintOperandsType(op);
os << " -> ";
printer.PrintOpReturnType(op);
};
}
return nullptr;
}
#endif
} // namespace paddle::dialect
IR_DEFINE_EXPLICIT_TYPE_ID(paddle::dialect::KernelDialect)
IR_DEFINE_EXPLICIT_TYPE_ID(paddle::dialect::CustomKernelDialect)
IR_DEFINE_EXPLICIT_TYPE_ID(paddle::dialect::PythonFunctionDialect)
#ifdef PADDLE_WITH_DNNL
IR_DEFINE_EXPLICIT_TYPE_ID(paddle::dialect::OneDNNKernelDialect)
#endif