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/*
* Copyright (c) 2018 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/graph2/nodes/FullyConnectedLayerNode.h"
#include "arm_compute/core/Utils.h"
#include "arm_compute/graph2/Graph.h"
#include "arm_compute/graph2/INodeVisitor.h"
namespace arm_compute
{
namespace graph2
{
FullyConnectedLayerNode::FullyConnectedLayerNode(unsigned int num_outputs)
: _num_outputs(num_outputs)
{
_input_edges.resize(3, EmptyEdgeID);
_outputs.resize(1, NullTensorID);
}
TensorShape FullyConnectedLayerNode::compute_weights_shape(TensorShape input_shape, unsigned int num_outputs)
{
unsigned int num_weights = 1;
unsigned int num_dimensions = input_shape.num_dimensions();
// Ignore the batch dimension if there is one:
if(num_dimensions == 2 || num_dimensions == 4)
{
num_dimensions--;
}
for(unsigned int i = 0; i < num_dimensions; i++)
{
num_weights *= input_shape[i];
}
return TensorShape(num_weights, num_outputs);
}
TensorShape FullyConnectedLayerNode::compute_output_shape(TensorShape input_shape, unsigned int num_outputs)
{
// Note: Only 1D batch space is supported at the moment
unsigned int batches = input_shape[1];
if(input_shape.num_dimensions() > 2)
{
batches = input_shape[3];
}
return TensorShape(num_outputs, batches);
}
bool FullyConnectedLayerNode::forward_descriptors()
{
if((input_id(0) != NullTensorID) && (output_id(0) != NullTensorID))
{
Tensor *dst = output(0);
ARM_COMPUTE_ERROR_ON(dst == nullptr);
dst->desc() = configure_output(0);
return true;
}
return false;
}
TensorDescriptor FullyConnectedLayerNode::configure_output(size_t idx) const
{
ARM_COMPUTE_UNUSED(idx);
const Tensor *src = input(0);
ARM_COMPUTE_ERROR_ON(src == nullptr);
TensorDescriptor output_info = src->desc();
TensorShape output_shape = compute_output_shape(src->desc().shape, _num_outputs);
output_info.shape = output_shape;
return output_info;
}
Status FullyConnectedLayerNode::validate()
{
return Status{};
}
NodeType FullyConnectedLayerNode::type() const
{
return NodeType::FullyConnectedLayer;
}
void FullyConnectedLayerNode::accept(INodeVisitor &v)
{
v.visit(*this);
}
} // namespace graph2
} // namespace arm_compute
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