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