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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;
TEST(NodeExecution_TensorConcat, f32)
{
// Make (pull, pull)-concat graph
auto g = loco::make_graph();
auto pull_l = g->nodes()->create<loco::Pull>();
pull_l->dtype(loco::DataType::FLOAT32);
pull_l->shape({1, 2});
auto pull_r = g->nodes()->create<loco::Pull>();
pull_r->dtype(loco::DataType::FLOAT32);
pull_r->shape({1, 2});
auto tconcat = g->nodes()->create<loco::TensorConcat>();
tconcat->lhs(pull_l);
tconcat->rhs(pull_r);
tconcat->axis(0);
// Make and assign data to pull node
auto pull_l_buf = make_buffer<float, LexicalLayout>(Shape{1, 2});
pull_l_buf.at(Index{0, 0}) = -1.0f;
pull_l_buf.at(Index{0, 1}) = -2.0f;
auto pull_r_buf = make_buffer<float, LexicalLayout>(Shape{1, 2});
pull_r_buf.at(Index{0, 0}) = 3.0f;
pull_r_buf.at(Index{0, 1}) = 4.0f;
auto pull_l_data = locomotiv::make_data(pull_l_buf);
locomotiv::annot_data(pull_l, std::move(pull_l_data));
locomotiv::annot_domain(pull_l, loco::Domain::Tensor);
auto pull_r_data = locomotiv::make_data(pull_r_buf);
locomotiv::annot_data(pull_r, std::move(pull_r_data));
locomotiv::annot_domain(pull_r, loco::Domain::Tensor);
locomotiv::NodeExecution::get().run(tconcat);
auto concat_data = locomotiv::annot_data(tconcat);
ASSERT_NE(concat_data, nullptr);
ASSERT_EQ(concat_data->dtype(), loco::DataType::FLOAT32);
ASSERT_EQ((*(concat_data->shape())), (Shape{2, 2}));
ASSERT_FLOAT_EQ(concat_data->as_f32_bufptr()->at(Index{0, 0}), -1.0f);
ASSERT_FLOAT_EQ(concat_data->as_f32_bufptr()->at(Index{0, 1}), -2.0f);
ASSERT_FLOAT_EQ(concat_data->as_f32_bufptr()->at(Index{1, 0}), 3.0f);
ASSERT_FLOAT_EQ(concat_data->as_f32_bufptr()->at(Index{1, 1}), 4.0f);
ASSERT_EQ(locomotiv::annot_domain(tconcat), loco::Domain::Tensor);
}
TEST(NodeExecution_TensorConcat, f32_2)
{
// Make (pull, pull)-concat graph
auto g = loco::make_graph();
auto pull_l = g->nodes()->create<loco::Pull>();
pull_l->dtype(loco::DataType::FLOAT32);
pull_l->shape({1, 2});
auto pull_r = g->nodes()->create<loco::Pull>();
pull_r->dtype(loco::DataType::FLOAT32);
pull_r->shape({3, 2});
auto tconcat = g->nodes()->create<loco::TensorConcat>();
tconcat->lhs(pull_l);
tconcat->rhs(pull_r);
tconcat->axis(0);
// Make and assign data to pull node
auto pull_l_buf = make_buffer<float, LexicalLayout>(Shape{1, 2});
pull_l_buf.at(Index{0, 0}) = -1.0f;
pull_l_buf.at(Index{0, 1}) = -2.0f;
auto pull_r_buf = make_buffer<float, LexicalLayout>(Shape{3, 2});
pull_r_buf.at(Index{0, 0}) = 3.0f;
pull_r_buf.at(Index{0, 1}) = 4.0f;
pull_r_buf.at(Index{1, 0}) = -3.0f;
pull_r_buf.at(Index{1, 1}) = -4.0f;
pull_r_buf.at(Index{2, 0}) = 5.0f;
pull_r_buf.at(Index{2, 1}) = 6.0f;
auto pull_l_data = locomotiv::make_data(pull_l_buf);
locomotiv::annot_data(pull_l, std::move(pull_l_data));
locomotiv::annot_domain(pull_l, loco::Domain::Tensor);
auto pull_r_data = locomotiv::make_data(pull_r_buf);
locomotiv::annot_data(pull_r, std::move(pull_r_data));
locomotiv::annot_domain(pull_r, loco::Domain::Tensor);
locomotiv::NodeExecution::get().run(tconcat);
auto concat_data = locomotiv::annot_data(tconcat);
ASSERT_NE(concat_data, nullptr);
ASSERT_EQ(concat_data->dtype(), loco::DataType::FLOAT32);
ASSERT_EQ((*(concat_data->shape())), (Shape{4, 2}));
ASSERT_FLOAT_EQ(concat_data->as_f32_bufptr()->at(Index{0, 0}), -1.0f);
ASSERT_FLOAT_EQ(concat_data->as_f32_bufptr()->at(Index{0, 1}), -2.0f);
ASSERT_FLOAT_EQ(concat_data->as_f32_bufptr()->at(Index{1, 0}), 3.0f);
ASSERT_FLOAT_EQ(concat_data->as_f32_bufptr()->at(Index{1, 1}), 4.0f);
ASSERT_FLOAT_EQ(concat_data->as_f32_bufptr()->at(Index{2, 0}), -3.0f);
ASSERT_FLOAT_EQ(concat_data->as_f32_bufptr()->at(Index{2, 1}), -4.0f);
ASSERT_FLOAT_EQ(concat_data->as_f32_bufptr()->at(Index{3, 0}), 5.0f);
ASSERT_FLOAT_EQ(concat_data->as_f32_bufptr()->at(Index{3, 1}), 6.0f);
ASSERT_EQ(locomotiv::annot_domain(tconcat), loco::Domain::Tensor);
}
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