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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_TensorBroadcast, f32)
{
// Create a sample graph w/ TensorBroadcast
auto g = loco::make_graph();
auto pull = g->nodes()->create<loco::Pull>();
pull->dtype(loco::DataType::FLOAT32);
pull->shape({1, 1});
auto broadcast = g->nodes()->create<loco::TensorBroadcast>();
broadcast->input(pull);
broadcast->mapping()->dim(0) = 2;
// Make and assign data to pull node
auto pull_buf = make_buffer<float, LexicalLayout>(Shape{1, 1});
pull_buf.at(Index{0, 0}) = -1.0f;
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(broadcast);
auto broadcast_data = locomotiv::annot_data(broadcast);
ASSERT_NE(broadcast_data, nullptr);
ASSERT_EQ(broadcast_data->dtype(), loco::DataType::FLOAT32);
ASSERT_EQ((*(broadcast_data->shape())), (Shape{2, 1}));
ASSERT_FLOAT_EQ(broadcast_data->as_f32_bufptr()->at(Index{0, 0}), -1.0f);
ASSERT_FLOAT_EQ(broadcast_data->as_f32_bufptr()->at(Index{1, 0}), -1.0f);
ASSERT_EQ(locomotiv::annot_domain(broadcast), loco::Domain::Tensor);
}
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