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