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/*
* Copyright (c) 2021 Samsung Electronics Co., Ltd. All Rights Reserved
* Copyright 2017 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/Cast.h"
#include "kernels/Utils.h"
namespace
{
using namespace luci_interpreter;
using namespace luci_interpreter::kernels;
template <typename InT, typename OutT>
void cast_data(const InT *in_data, OutT *out_data, uint32_t elements_count)
{
std::transform(in_data, in_data + elements_count, out_data,
[](InT a) { return static_cast<OutT>(a); });
}
template <typename InT> void cast_from_pointer_to_tensor(const InT *in_data, Tensor *out_tensor)
{
auto const out_type = out_tensor->element_type();
auto const elements_count = out_tensor->shape().num_elements();
switch (out_type)
{
case DataType::U8:
cast_data(in_data, getTensorData<uint8_t>(out_tensor), elements_count);
break;
case DataType::U16:
cast_data(in_data, getTensorData<uint16_t>(out_tensor), elements_count);
break;
case DataType::U32:
cast_data(in_data, getTensorData<uint32_t>(out_tensor), elements_count);
break;
case DataType::U64:
cast_data(in_data, getTensorData<uint64_t>(out_tensor), elements_count);
break;
case DataType::S8:
cast_data(in_data, getTensorData<int8_t>(out_tensor), elements_count);
break;
case DataType::S16:
cast_data(in_data, getTensorData<int16_t>(out_tensor), elements_count);
break;
case DataType::S32:
cast_data(in_data, getTensorData<int32_t>(out_tensor), elements_count);
break;
case DataType::S64:
cast_data(in_data, getTensorData<int64_t>(out_tensor), elements_count);
break;
case DataType::FLOAT32:
cast_data(in_data, getTensorData<float>(out_tensor), elements_count);
break;
case DataType::BOOL:
cast_data(in_data, getTensorData<bool>(out_tensor), elements_count);
break;
default:
assert(false && "Unsupported output type.");
}
}
void cast_from_tensor_to_tensor(const Tensor *in_tensor, Tensor *out_tensor)
{
auto in_type = in_tensor->element_type();
switch (in_type)
{
case DataType::U8:
cast_from_pointer_to_tensor(getTensorData<uint8_t>(in_tensor), out_tensor);
break;
case DataType::U16:
cast_from_pointer_to_tensor(getTensorData<uint16_t>(in_tensor), out_tensor);
break;
case DataType::U32:
cast_from_pointer_to_tensor(getTensorData<uint32_t>(in_tensor), out_tensor);
break;
case DataType::U64:
cast_from_pointer_to_tensor(getTensorData<uint64_t>(in_tensor), out_tensor);
break;
case DataType::S8:
cast_from_pointer_to_tensor(getTensorData<int8_t>(in_tensor), out_tensor);
break;
case DataType::S16:
cast_from_pointer_to_tensor(getTensorData<int16_t>(in_tensor), out_tensor);
break;
case DataType::S32:
cast_from_pointer_to_tensor(getTensorData<int32_t>(in_tensor), out_tensor);
break;
case DataType::S64:
cast_from_pointer_to_tensor(getTensorData<int64_t>(in_tensor), out_tensor);
break;
case DataType::FLOAT32:
cast_from_pointer_to_tensor(getTensorData<float>(in_tensor), out_tensor);
break;
case DataType::BOOL:
cast_from_pointer_to_tensor(getTensorData<bool>(in_tensor), out_tensor);
break;
default:
assert(false && "Unsupported input type.");
}
}
} // namespace
namespace luci_interpreter
{
namespace kernels
{
Cast::Cast(const Tensor *input, Tensor *output) : Kernel({input}, {output}) {}
void Cast::configure()
{
LUCI_INTERPRETER_CHECK(input()->element_type() != DataType::Unknown);
LUCI_INTERPRETER_CHECK(output()->element_type() != DataType::Unknown);
const Shape &shape = input()->shape();
// TODO: enable it only if kernel with dynamic shapes
output()->resize(shape);
}
void Cast::execute() const
{
assert(input()->shape().num_elements() == output()->shape().num_elements());
cast_from_tensor_to_tensor(input(), output());
}
} // namespace kernels
} // namespace luci_interpreter
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