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/*
* Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
* Copyright 2023 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 "Builders.h"
#include "Utils.h"
#include "Split.h"
namespace luci_interpreter
{
void configure_kernel_CircleSplitV(const circle::Operator *cur_op, BaseRuntimeGraph *runtime_graph)
{
const auto axis_index = cur_op->inputs()->operator[](2);
LUCI_INTERPRETER_CHECK(axis_index != -1);
const auto axis = runtime_graph->getCircleTensorByIndex(axis_index);
LUCI_INTERPRETER_CHECK(axis != nullptr);
// Dynamic output tensors are needed if axis tensor is not constant
// Now doesn't support dynamic shapes for SplitV
LUCI_INTERPRETER_CHECK(runtime_graph->getConstDataByTensor(axis) != nullptr);
}
void execute_kernel_CircleSplitV(const circle::Operator *cur_op, BaseRuntimeGraph *runtime_graph)
{
const auto input_index = cur_op->inputs()->operator[](0);
const auto axis_index = cur_op->inputs()->operator[](2);
assert(input_index != -1);
assert(axis_index != -1);
const auto input = runtime_graph->getCircleTensorByIndex(input_index);
const auto axis = runtime_graph->getCircleTensorByIndex(axis_index);
assert(input != nullptr);
assert(axis != nullptr);
const auto *axis_data = runtime_graph->getDataByTensor(axis);
if (axis_data == nullptr)
axis_data = runtime_graph->getConstDataByTensor(axis);
assert(axis_data);
int32_t axis_value = (kernels::getTensorData<int32_t>(axis_data))[0];
if (axis_value < 0)
axis_value += Tensor::num_dims(input);
assert(axis_value >= 0);
assert(axis_value < Tensor::num_dims(input));
switch (Tensor::element_type(input))
{
#ifndef DIS_FLOAT
case DataType::FLOAT32:
{
return splitImpl<float>(cur_op, input, axis_value, runtime_graph);
}
#endif // DIS_FLOAT
#ifndef DIS_QUANT
case DataType::S8:
{
return splitImpl<int8_t>(cur_op, input, axis_value, runtime_graph);
}
case DataType::S16:
{
return splitImpl<int16_t>(cur_op, input, axis_value, runtime_graph);
}
#endif // DIS_QUANT
case DataType::S32:
{
return splitImpl<int32_t>(cur_op, input, axis_value, runtime_graph);
}
default:
assert(false && "Unsupported type");
}
}
} // namespace luci_interpreter
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