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/*
* Copyright (c) 2020 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 "Builders.h"
#include "kernels/Utils.h"
#include "TISOKernel.h"
#include "PALComparisons.h"
namespace luci_interpreter
{
namespace
{
// TODO: reduce code duplication with less
template <typename T>
void evalGeneric(const circle::Tensor *x, const circle::Tensor *y, const circle::Tensor *output,
BaseRuntimeGraph *runtime_graph)
{
auto x_data = kernels::getTensorData<T>(runtime_graph->getDataByTensor(x));
if (x_data == nullptr)
x_data = kernels::getTensorData<T>(runtime_graph->getConstDataByTensor(x));
assert(x_data != nullptr);
auto y_data = kernels::getTensorData<T>(runtime_graph->getDataByTensor(y));
if (y_data == nullptr)
y_data = kernels::getTensorData<T>(runtime_graph->getConstDataByTensor(y));
assert(y_data != nullptr);
auto output_data = kernels::getTensorData<bool>(runtime_graph->getDataByTensor(output));
luci_interpreter_pal::ComparisonParams op_params;
op_params.is_broadcast = Tensor::num_elements(x) != Tensor::num_elements(y);
const int64_t flat_size = kernels::getTensorShape(x).flatSize();
luci_interpreter_pal::ComparisonNoScaling<T>(flat_size, x_data, y_data, output_data,
luci_interpreter_pal::NotEqualFn);
}
} // namespace
void configure_kernel_CircleNotEqual(const circle::Operator *cur_op,
BaseRuntimeGraph *runtime_graph)
{
kernels::TISOKernel kernel(cur_op, runtime_graph);
LUCI_INTERPRETER_CHECK(Tensor::element_type(kernel.input1()) ==
Tensor::element_type(kernel.input2()));
LUCI_INTERPRETER_CHECK(Tensor::element_type(kernel.output()) == DataType::BOOL);
}
void execute_kernel_CircleNotEqual(const circle::Operator *cur_op, BaseRuntimeGraph *runtime_graph)
{
kernels::TISOKernel kernel(cur_op, runtime_graph);
switch (Tensor::element_type(kernel.input1()))
{
case DataType::S64:
evalGeneric<int64_t>(kernel.input1(), kernel.input2(), kernel.output(), runtime_graph);
break;
case DataType::S32:
evalGeneric<int32_t>(kernel.input1(), kernel.input2(), kernel.output(), runtime_graph);
break;
#ifndef DIS_FLOAT
case DataType::FLOAT32:
evalGeneric<float>(kernel.input1(), kernel.input2(), kernel.output(), runtime_graph);
break;
#endif // DIS_FLOAT
default:
assert(false && "Unsupported type.");
}
}
} // namespace luci_interpreter
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