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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 "locomotiv/NodeData.h"
#include "NodeDataImpl.h"
#include "NodeDomain.h"
#include <nncc/core/ADT/tensor/Shape.h>
#include <nncc/core/ADT/tensor/Buffer.h>
#include <nncc/core/ADT/tensor/LexicalLayout.h>
#include <gtest/gtest.h>
using nncc::core::ADT::tensor::Index;
using nncc::core::ADT::tensor::Shape;
using nncc::core::ADT::tensor::LexicalLayout;
using nncc::core::ADT::tensor::make_buffer;
using nncc::core::ADT::tensor::Buffer;
namespace
{
template <typename T> loco::DataType loco_dtype() { throw std::runtime_error("Not supported yet"); }
template <> loco::DataType loco_dtype<int32_t>() { return loco::DataType::S32; }
template <> loco::DataType loco_dtype<float>() { return loco::DataType::FLOAT32; }
template <typename T> const Buffer<T> *as_bufptr(const locomotiv::NodeData *data)
{
throw std::runtime_error("Not supported yet");
}
template <> const Buffer<int32_t> *as_bufptr<int32_t>(const locomotiv::NodeData *data)
{
return data->as_s32_bufptr();
}
template <> const Buffer<float> *as_bufptr<float>(const locomotiv::NodeData *data)
{
return data->as_f32_bufptr();
}
template <typename T> void test()
{
// Make pull-BiasEncode graph
auto g = loco::make_graph();
auto pull = g->nodes()->create<loco::Pull>();
{
pull->dtype(loco_dtype<T>());
pull->shape({1});
}
auto bias_enc = g->nodes()->create<loco::BiasEncode>();
{
bias_enc->input(pull);
}
// Make and assign data to pull node
auto pull_buf = make_buffer<T, LexicalLayout>(Shape{1});
{
pull_buf.at(Index{0}) = static_cast<T>(100);
auto pull_data = locomotiv::make_data(pull_buf);
locomotiv::annot_data(pull, std::move(pull_data));
locomotiv::annot_domain(pull, loco::Domain::Tensor);
}
locomotiv::NodeExecution::get().run(bias_enc);
// check
auto bias_enc_data = locomotiv::annot_data(bias_enc);
ASSERT_NE(bias_enc_data, nullptr);
ASSERT_EQ(loco_dtype<T>(), bias_enc_data->dtype());
ASSERT_EQ(Shape{1}, *(bias_enc_data->shape()));
ASSERT_EQ(pull_buf.at(Index{0}), as_bufptr<T>(bias_enc_data)->at(Index{0}));
ASSERT_EQ(loco::Domain::Bias, locomotiv::annot_domain(bias_enc));
}
} // namespace
TEST(NodeExecution_BiasEncode, s32)
{
test<int32_t>();
SUCCEED();
}
TEST(NodeExecution_BiasEncode, f32)
{
test<float>();
SUCCEED();
}
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