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Diffstat (limited to 'compiler/locomotiv/src/Node/TensorConcat.test.cpp')
| -rw-r--r-- | compiler/locomotiv/src/Node/TensorConcat.test.cpp | 128 |
1 files changed, 128 insertions, 0 deletions
diff --git a/compiler/locomotiv/src/Node/TensorConcat.test.cpp b/compiler/locomotiv/src/Node/TensorConcat.test.cpp new file mode 100644 index 000000000..d71b51524 --- /dev/null +++ b/compiler/locomotiv/src/Node/TensorConcat.test.cpp @@ -0,0 +1,128 @@ +/* + * 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); +} |