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/*
* Copyright (c) 2018-2020 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to
* deal in the Software without restriction, including without limitation the
* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
* sell copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#include "arm_compute/graph/nodes/SplitLayerNode.h"
#include "arm_compute/core/Helpers.h"
#include "arm_compute/core/Utils.h"
#include "arm_compute/graph/Graph.h"
#include "arm_compute/graph/INodeVisitor.h"
namespace arm_compute
{
namespace graph
{
SplitLayerNode::SplitLayerNode(unsigned int num_splits, int axis, std::vector<int> size_splits)
: _num_splits(num_splits), _axis(axis), _size_splits(size_splits)
{
_input_edges.resize(1, EmptyEdgeID);
_outputs.resize(num_splits, NullTensorID);
}
unsigned int SplitLayerNode::num_splits() const
{
return _num_splits;
}
unsigned int SplitLayerNode::axis() const
{
return _axis;
}
std::pair<TensorDescriptor, Coordinates> SplitLayerNode::compute_output_descriptor(const TensorDescriptor &input_descriptor,
unsigned int num_splits, int axis, unsigned int idx)
{
// Handle negative axis, negative index is used to specify axis from the end (e.g. -1 for the last axis).
int num_dimension = static_cast<int32_t>(input_descriptor.shape.num_dimensions());
int tmp_axis = wrap_around(axis, num_dimension);
Coordinates coords;
TensorDescriptor output_descriptor = input_descriptor;
int split_size = input_descriptor.shape[tmp_axis] / num_splits;
if(_size_splits.empty())
{
output_descriptor.shape.set(tmp_axis, split_size);
coords.set(tmp_axis, idx * split_size);
}
else
{
int split_size = _size_splits[idx];
if(split_size == -1)
{
split_size = input_descriptor.shape[tmp_axis];
for(unsigned int i = 0; i < _size_splits.size() - 1; ++i)
split_size -= _size_splits[i];
}
output_descriptor.shape.set(tmp_axis, split_size);
int coord_value = 0;
for(unsigned int i = 0; i < idx; ++i)
coord_value += _size_splits[i];
coords.set(tmp_axis, coord_value);
}
return std::make_pair(output_descriptor, coords);
}
bool SplitLayerNode::forward_descriptors()
{
if(input_id(0) != NullTensorID)
{
validate();
for(unsigned int i = 0; i < _outputs.size(); ++i)
{
if(output_id(i) != NullTensorID)
{
Tensor *dst_i = output(i);
ARM_COMPUTE_ERROR_ON(dst_i == nullptr);
dst_i->desc() = configure_output(i);
}
}
return true;
}
return false;
}
TensorDescriptor SplitLayerNode::configure_output(size_t idx) const
{
ARM_COMPUTE_UNUSED(idx);
ARM_COMPUTE_ERROR_ON(idx >= _outputs.size());
const Tensor *src = input(0);
ARM_COMPUTE_ERROR_ON(src == nullptr);
TensorDescriptor input_descriptor = src->desc();
TensorDescriptor output_descriptor = input_descriptor;
// Handle negative axis, negative index is used to specify axis from the end (e.g. -1 for the last axis).
int num_dimension = static_cast<int32_t>(src->desc().shape.num_dimensions());
int tmp_axis = wrap_around(_axis, num_dimension);
int split_size = (_size_splits.empty()) ? (input_descriptor.shape[tmp_axis] / _num_splits) : _size_splits[idx];
if(split_size == -1)
{
split_size = input_descriptor.shape[tmp_axis];
for(unsigned int i = 0; i < _size_splits.size() - 1; ++i)
split_size -= _size_splits[i];
}
output_descriptor.shape.set(tmp_axis, split_size);
return output_descriptor;
}
Status SplitLayerNode::validate() const
{
const Tensor *src = input(0);
ARM_COMPUTE_RETURN_ERROR_ON(src == nullptr);
int num_dimension = static_cast<int32_t>(src->desc().shape.num_dimensions());
ARM_COMPUTE_RETURN_ERROR_ON(_axis < (-num_dimension) || _axis >= num_dimension);
// Handle negative axis, negative index is used to specify axis from the end (e.g. -1 for the last axis).
int tmp_axis = wrap_around(_axis, num_dimension);
if(_size_splits.empty())
{
ARM_COMPUTE_RETURN_ERROR_ON_MSG(src->desc().shape[tmp_axis] % _num_splits, "Split should be exact");
}
return Status{};
}
NodeType SplitLayerNode::type() const
{
return NodeType::SplitLayer;
}
void SplitLayerNode::accept(INodeVisitor &v)
{
v.visit(*this);
}
} // namespace graph
} // namespace arm_compute
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