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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 "tflite/FeatureView.h"
#include "tflite/TensorUtils.h"
#include <cassert>
namespace nnfw
{
namespace tflite
{
nnfw::misc::feature::Shape getFeatureShape(const TfLiteTensor *tensor)
{
nnfw::misc::feature::Shape shape{tensor->dims->data[3], tensor->dims->data[1],
tensor->dims->data[2]};
return shape;
}
FeatureView<float>::FeatureView(::tflite::Interpreter &interp, const InputIndex &index)
{
const auto tensor_index = interp.inputs().at(index.asInt());
auto tensor_ptr = interp.tensor(tensor_index);
assert(isFloatTensor(tensor_ptr));
assert(isFeatureTensor(tensor_ptr));
_shape = getFeatureShape(tensor_ptr);
_base = interp.typed_tensor<float>(tensor_index);
}
FeatureView<float>::FeatureView(::tflite::Interpreter &interp, const OutputIndex &index)
{
const auto tensor_index = interp.outputs().at(index.asInt());
auto tensor_ptr = interp.tensor(tensor_index);
assert(isFloatTensor(tensor_ptr));
assert(isFeatureTensor(tensor_ptr));
_shape = getFeatureShape(tensor_ptr);
_base = interp.typed_tensor<float>(tensor_index);
}
float FeatureView<float>::at(uint32_t ch, uint32_t row, uint32_t col) const
{
return *(_base + getElementOffset(ch, row, col));
}
float &FeatureView<float>::at(uint32_t ch, uint32_t row, uint32_t col)
{
return *(_base + getElementOffset(ch, row, col));
}
} // namespace tflite
} // namespace nnfw
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