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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/ResizeBilinear.h"
#include "kernels/Utils.h"
#include <tensorflow/lite/kernels/internal/optimized/optimized_ops.h>
namespace luci_interpreter
{
namespace kernels
{
ResizeBilinear::ResizeBilinear(const Tensor *input, const Tensor *size, Tensor *output,
const ResizeBilinearParams ¶ms)
: KernelWithParams<ResizeBilinearParams>({input, size}, {output}, params)
{
}
void ResizeBilinear::configure()
{
LUCI_INTERPRETER_CHECK(input()->shape().num_dims() == 4);
LUCI_INTERPRETER_CHECK(size()->shape().num_dims() == 1);
LUCI_INTERPRETER_CHECK(size()->element_type() == DataType::S32);
if (params().half_pixel_centers && params().align_corners)
throw std::runtime_error("If half_pixel_centers is True, align_corners must be False.");
LUCI_INTERPRETER_CHECK(size()->shape().dim(0) == 2);
Shape output_shape(4);
output_shape.dim(0) = input()->shape().dim(0);
output_shape.dim(1) = getTensorData<int32_t>(size())[0];
output_shape.dim(2) = getTensorData<int32_t>(size())[1];
output_shape.dim(3) = input()->shape().dim(3);
output()->resize(output_shape);
}
void ResizeBilinear::execute() const
{
tflite::ResizeBilinearParams op_params{};
op_params.align_corners = params().align_corners;
op_params.half_pixel_centers = params().half_pixel_centers;
switch (output()->element_type())
{
case DataType::FLOAT32:
tflite::optimized_ops::ResizeBilinear(
op_params, getTensorShape(input()), getTensorData<float>(input()), getTensorShape(size()),
getTensorData<int32_t>(size()), getTensorShape(output()), getTensorData<float>(output()));
break;
case DataType::U8:
tflite::optimized_ops::ResizeBilinear(
op_params, getTensorShape(input()), getTensorData<uint8_t>(input()),
getTensorShape(size()), getTensorData<int32_t>(size()), getTensorShape(output()),
getTensorData<uint8_t>(output()));
break;
default:
throw std::runtime_error("Unsupported type.");
}
}
} // namespace kernels
} // namespace luci_interpreter
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