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/*
* Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
* Copyright 2019 The TensorFlow Authors. 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 "kernels/Transpose.h"
#include "kernels/Utils.h"
#include <tensorflow/lite/kernels/internal/reference/transpose.h>
namespace luci_interpreter
{
namespace kernels
{
Transpose::Transpose(const Tensor *input, const Tensor *perm, Tensor *output)
: Kernel({input, perm}, {output})
{
}
void Transpose::configure()
{
// Transpose op only supports 1D-4D input arrays.
int dims = input()->shape().num_dims();
const int32_t *perm_data = getTensorData<int32_t>(perm());
assert(input()->shape().num_dims() <= 4);
assert(input()->element_type() == output()->element_type());
assert(perm()->shape().num_dims() == 1);
assert(perm()->shape().dim(0) == dims);
Shape output_shape(dims);
for (int i = 0; i < dims; i++)
{
assert(perm_data[i] < dims && perm_data[i] >= 0);
output_shape.dim(i) = input()->shape().dim(perm_data[i]);
}
// TODO: enable it only if kernel with dynamic shapes
output()->resize(output_shape);
}
void Transpose::execute() const
{
tflite::TransposeParams params{};
const int32_t *perm_data = getTensorData<int32_t>(perm());
const int32_t size = perm()->shape().dim(0);
params.perm_count = size;
for (int i = 0; i < size; i++)
params.perm[i] = perm_data[i];
switch (input()->element_type())
{
case DataType::FLOAT32:
tflite::reference_ops::Transpose(params, getTensorShape(input()),
getTensorData<float>(input()), getTensorShape(output()),
getTensorData<float>(output()));
break;
case DataType::U8:
tflite::reference_ops::Transpose(params, getTensorShape(input()),
getTensorData<uint8_t>(input()), getTensorShape(output()),
getTensorData<uint8_t>(output()));
break;
default:
assert(false && "Unsupported type.");
}
}
} // namespace kernels
} // namespace luci_interpreter
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