blob: 6c0a7ddce665a2ed9b66f1118706e26bca8a681b [file] [log] [blame]
/*
* Copyright (c) 2018-2019 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/ActivationLayerNode.h"
#include "arm_compute/graph/Graph.h"
#include "arm_compute/graph/INodeVisitor.h"
namespace arm_compute
{
namespace graph
{
ActivationLayerNode::ActivationLayerNode(ActivationLayerInfo info, QuantizationInfo out_quant_info)
: _info(info), _out_quant_info(std::move(out_quant_info))
{
_input_edges.resize(1, EmptyEdgeID);
_outputs.resize(1, NullTensorID);
}
ActivationLayerInfo ActivationLayerNode::activation_info() const
{
return _info;
}
bool ActivationLayerNode::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 ActivationLayerNode::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 output_info = src->desc();
if(!_out_quant_info.empty())
{
output_info.quant_info = _out_quant_info;
}
return output_info;
}
NodeType ActivationLayerNode::type() const
{
return ActivationLayerNode::node_type;
}
void ActivationLayerNode::accept(INodeVisitor &v)
{
v.visit(*this);
}
} // namespace graph
} // namespace arm_compute