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/*
* Copyright (c) 2018 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 "internal/op/Concat.h"
#include "internal/op/NodeVisitor.h"
#include <cassert>
namespace internal
{
namespace tflite
{
namespace op
{
namespace Concat
{
void Node::accept(NodeVisitor &&v) const { v.visit(*this); }
} // namespace Concat
} // namespace op
} // namespace tflite
} // namespace internal
namespace internal
{
namespace tflite
{
namespace op
{
namespace Concat
{
Param::Param(uint32_t inputCount, const uint32_t *inputs, uint32_t outputCount,
const uint32_t *outputs)
{
assert(outputCount == 1);
ofm_index = outputs[0];
// When there are N + 1 inputs, each input should be interpreted as follows:
//
// [0, N) -> Input tensors
// N -> Axis
axis_index = inputs[inputCount - 1];
for (uint32_t n = 0; n < inputCount - 1; ++n)
{
ifm_indexes.emplace_back(inputs[n]);
}
}
} // namespace Concat
} // namespace op
} // namespace tflite
} // namespace internal
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