// 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/framework/convert_utils.h" #include "paddle/fluid/framework/data_type.h" #include "paddle/fluid/ir/dialect/pd_type_storage.h" #include "paddle/ir/core/builtin_attribute.h" #include "paddle/ir/core/builtin_type.h" #include "paddle/phi/common/scalar.h" #include "paddle/phi/core/dense_tensor.h" namespace paddle { namespace dialect { // TODO(zhangbo): The builtin type needs to cover all data types of // phi::DataType. static inline phi::DataType TransToPhiDataType(ir::Type dtype) { if (dtype.isa()) { return phi::DataType::FLOAT16; } else if (dtype.isa()) { return phi::DataType::FLOAT32; } else if (dtype.isa()) { return phi::DataType::FLOAT64; } else if (dtype.isa()) { return phi::DataType::INT16; } else if (dtype.isa()) { return phi::DataType::INT32; } else if (dtype.isa()) { return phi::DataType::INT64; } else { PADDLE_THROW(phi::errors::Unimplemented( "Unsupported ir data type when casting it into " "phi data type.")); } } static inline ir::Type TransToIrDataType(phi::DataType dtype, ir::IrContext *ctx = nullptr) { if (ctx == nullptr) { ctx = ir::IrContext::Instance(); } switch (dtype) { case phi::DataType::FLOAT16: return ir::Float16Type::get(ctx); case phi::DataType::FLOAT32: return ir::Float32Type::get(ctx); case phi::DataType::FLOAT64: return ir::Float64Type::get(ctx); case phi::DataType::INT16: return ir::Int16Type::get(ctx); case phi::DataType::INT32: return ir::Int32Type::get(ctx); case phi::DataType::INT64: return ir::Int64Type::get(ctx); default: PADDLE_THROW(phi::errors::Unimplemented( "Unsupported phi data type `%s` when casting it into " "ir data type.", dtype)); } } static inline ir::Attribute TransToIrAttribute(phi::Scalar scalar, ir::IrContext *ctx = nullptr) { if (ctx == nullptr) { ctx = ir::IrContext::Instance(); } switch (scalar.dtype()) { case phi::DataType::FLOAT32: return ir::FloatAttribute::get(ctx, scalar.to()); case phi::DataType::FLOAT64: return ir::DoubleAttribute::get(ctx, scalar.to()); case phi::DataType::INT32: return ir::Int32_tAttribute::get(ctx, scalar.to()); case phi::DataType::INT64: return ir::Int64_tAttribute::get(ctx, scalar.to()); case phi::DataType::BOOL: return ir::BoolAttribute::get(ctx, scalar.to()); default: PADDLE_THROW(phi::errors::Unimplemented( "Unsupported phi data type `%s` when casting it into " "ir attribute.", scalar.dtype())); } } struct OpInputInfo { std::string name; std::string type_name; bool optional = false; bool no_need_buffer = false; bool is_mutable_attribute = false; OpInputInfo(std::string name, std::string type_name, bool optional, bool no_need_buffer, bool is_mutable_attribute) : name(name), type_name(type_name), optional(optional), no_need_buffer(no_need_buffer), is_mutable_attribute(is_mutable_attribute) {} }; struct OpOutputInfo { std::string name; std::string type_name; bool optional = false; bool intermediate = false; OpOutputInfo(std::string name, std::string type_name, bool optional, bool intermediate) : name(name), type_name(type_name), optional(optional), intermediate(intermediate) {} }; struct OpAttributeInfo { std::string name; std::string type_name; std::string data_type; OpAttributeInfo(std::string name, std::string type_name, std::string data_type) : name(name), type_name(type_name), data_type(data_type) {} }; struct OpRunTimeInfo { std::string infer_meta_func; std::vector infer_meta_param; std::vector kernel_func; std::vector kernel_param; OpRunTimeInfo(std::string infer_meta_func, std::vector infer_meta_param, std::vector kernel_func, std::vector kernel_param) : infer_meta_func(infer_meta_func), infer_meta_param(infer_meta_param), kernel_func(kernel_func), kernel_param(kernel_param) {} }; } // namespace dialect } // namespace paddle