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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 "OperationUtils.h"
#include <cmath>
#include <algorithm>
#include <cassert>
#include "util/Utils.h"
namespace neurun
{
namespace backend
{
namespace srcn
{
namespace kernel
{
uint32_t MatchingDim(const Shape &shape1, int index1, const Shape &shape2, int index2)
{
UNUSED_RELEASE(shape2);
UNUSED_RELEASE(index2);
assert(shape1.dimensions[index1] == shape2.dimensions[index2]);
return shape1.dimensions[index1];
}
Coordinates convertCoordinates(const Coordinates &from_coordinates, FilterLayout from_layout,
FilterLayout to_layout)
{
assert(from_coordinates.size() == 4);
Coordinates to{from_coordinates};
if (from_layout == FilterLayout::OHWI && to_layout == FilterLayout::HWOI)
{
to.set(0, from_coordinates[1]);
to.set(1, from_coordinates[2]);
to.set(2, from_coordinates[0]);
to.set(3, from_coordinates[3]);
}
else
{
throw std::runtime_error{"NYI"};
}
return to;
}
Shape getShape(const ::neurun::model::Operand &o, ::neurun::model::Layout frontend_layout)
{
Shape shape;
auto dims = o.shape().dims();
if (frontend_layout == ::neurun::model::Layout::NCHW && o.shape().rank() == 4)
{
// NCHW -> NHWC
uint32_t permutation[4] = {0, 2, 3, 1};
for (int i = 0; i < o.shape().rank(); ++i)
{
dims.at(i) = o.shape().dim(permutation[i]);
}
}
shape.dimensions = std::vector<uint32_t>(dims.begin(), dims.end());
shape.type = static_cast<OperandType>(static_cast<int32_t>(o.typeInfo().type()));
shape.scale = o.typeInfo().scale();
shape.offset = o.typeInfo().offset();
// CPU backend assume that neurun internal shape's rank is always same or less than 4
assert(shape.dimensions.size() <= 4);
return shape;
}
} // namespace kernel
} // namespace srcn
} // namespace backend
} // namespace neurun
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