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/*
* Copyright (c) 2019 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 "NodeExecution.h"
#include "NodeDataImpl.h"
#include "NodeDomain.h"
#include "Validation.h"
#include <nncc/core/ADT/tensor/Shape.h>
#include <nncc/core/ADT/tensor/Buffer.h>
#include <nncc/core/ADT/tensor/IndexEnumerator.h>
#include <nncc/core/ADT/tensor/LexicalLayout.h>
using nncc::core::ADT::tensor::IndexEnumerator;
using nncc::core::ADT::tensor::LexicalLayout;
using nncc::core::ADT::tensor::make_buffer;
#include <cassert>
#include <stdexcept>
namespace
{
using locomotiv::NodeData;
std::unique_ptr<NodeData> calc(const NodeData *input_data, const NodeData *bias_data,
uint32_t axis);
} // namespace
namespace locomotiv
{
void NodeExecution::execute(loco::BiasAdd<loco::Domain::Tensor> *bias_add)
{
auto input_data = locomotiv::annot_data(bias_add->value());
auto bias_data = locomotiv::annot_data(bias_add->bias());
validate(input_data && bias_data, "Input not ready");
validate(locomotiv::annot_domain(bias_add->value()) == loco::Domain::Tensor &&
locomotiv::annot_domain(bias_add->bias()) == loco::Domain::Bias,
"Wrong input domain");
std::unique_ptr<NodeData> bias_add_data = calc(input_data, bias_data, bias_add->axis());
assert(bias_add_data != nullptr);
annot_data(bias_add, std::move(bias_add_data));
annot_domain(bias_add, annot_domain(bias_add->value()));
}
void NodeExecution::execute(loco::BiasAdd<loco::Domain::Feature> *bias_add)
{
auto input_data = locomotiv::annot_data(bias_add->value());
auto bias_data = locomotiv::annot_data(bias_add->bias());
validate(input_data && bias_data, "Input not ready");
validate(locomotiv::annot_domain(bias_add->value()) == loco::Domain::Feature &&
locomotiv::annot_domain(bias_add->bias()) == loco::Domain::Bias,
"Wrong input domain");
std::unique_ptr<NodeData> bias_add_data = calc(input_data, bias_data, 3);
assert(bias_add_data != nullptr);
annot_data(bias_add, std::move(bias_add_data));
annot_domain(bias_add, loco::Domain::Feature);
}
} // namespace locomotiv
namespace
{
using locomotiv::NodeData;
using locomotiv::validate;
using locomotiv::make_data;
std::unique_ptr<NodeData> calc(const NodeData *input_data, const NodeData *bias_data, uint32_t axis)
{
validate(input_data->shape()->dim(axis) == bias_data->shape()->dim(0), "Bias size mismatch");
std::unique_ptr<NodeData> bias_add_data = nullptr;
switch (input_data->dtype())
{
case loco::DataType::FLOAT32:
{
auto input_bufptr = input_data->as_f32_bufptr();
auto bias_bufptr = bias_data->as_f32_bufptr();
auto bias_add_buf = make_buffer<float, LexicalLayout>(*input_data->shape());
auto *shape = input_data->shape();
for (IndexEnumerator e{*shape}; e.valid(); e.advance())
{
const auto &index = e.current();
nncc::core::ADT::tensor::Index bias_index({index.at(axis)});
bias_add_buf.at(index) = input_bufptr->at(index) + bias_bufptr->at(bias_index);
}
bias_add_data = make_data(bias_add_buf);
break;
}
default:
throw std::runtime_error("NYI for this DataType");
}
return bias_add_data;
}
} // namespace
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