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/*
* Copyright (c) 2019 Samsung Electronics Co., Ltd. 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 "LogHelper.h"
namespace loco
{
std::ostream &operator<<(std::ostream &os, const loco::FeatureShape &feature_shape)
{
os << "[" << feature_shape.count().value() << "," << feature_shape.height().value() << ","
<< feature_shape.width().value() << "," << feature_shape.depth().value() << "]";
return os;
}
std::ostream &operator<<(std::ostream &os, const loco::FilterShape &filter_shape)
{
os << "[" << filter_shape.height().value() << "," << filter_shape.width().value() << ","
<< filter_shape.depth().value() << "," << filter_shape.count().value() << "]";
return os;
}
std::ostream &operator<<(std::ostream &os, const loco::TensorShape &tensor_shape)
{
os << "[";
for (uint32_t r = 0; r < tensor_shape.rank(); ++r)
{
if (r)
os << ",";
os << tensor_shape.dim(r).value();
}
os << "]";
return os;
}
std::ostream &operator<<(std::ostream &os, const loco::Padding2D &pad)
{
os << "[TLBR " << pad.top() << "," << pad.left() << "," << pad.bottom() << "," << pad.right()
<< "]";
return os;
}
} // namespace loco
std::ostream &operator<<(std::ostream &os, const std::vector<int64_t> &vi64)
{
for (auto vi : vi64)
{
os << vi << " ";
}
return os;
}
#include "ExoFormattedGraph.h"
namespace exo
{
FormattedGraph fmt(loco::Graph *g)
{
auto node_summary_builder = stdex::make_unique<NodeSummaryBuilderFactory>();
return std::move(locop::fmt<locop::LinearV1>(g).with(std::move(node_summary_builder)));
}
} // namespace exo
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