// 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/op_type.h" #include "paddle/pir/include/core/builtin_type.h" #include "paddle/pir/include/dialect/shape/utils/shape_analysis.h" namespace test { pir::AttributeMap CreateAttributeMap( const std::vector &attribute_names, const std::vector &attributes) { pir::IrContext *ctx = pir::IrContext::Instance(); pir::AttributeMap attr_map; for (size_t i = 0; i < attribute_names.size(); i++) { pir::Attribute attr_value = pir::StrAttribute::get(ctx, attributes[i]); attr_map.insert( std::pair(attribute_names[i], attr_value)); } return attr_map; } pir::Operation *CreateDenseTensorOp( pir::IrContext *ctx, const phi::DDim &dims, const std::vector &attribute_names, const std::vector &attributes, const pir::Type &dtype = pir::Float32Type::get(pir::IrContext::Instance())) { std::vector op_inputs = {}; phi::DataLayout data_layout = phi::DataLayout::NCHW; phi::LegacyLoD lod = {{0, 1, 2}}; size_t offset = 0; std::vector op_output_types = { paddle::dialect::DenseTensorType::get( ctx, dtype, dims, data_layout, lod, offset)}; return pir::Operation::Create(op_inputs, CreateAttributeMap(attribute_names, attributes), op_output_types, pir::OpInfo()); } } // namespace test