1 files changed, 88 insertions, 0 deletions
diff --git a/compiler/locomotiv/src/Node/Forward.test.cpp b/compiler/locomotiv/src/Node/Forward.test.cpp
new file mode 100644
index 000000000..73d37139a
--- /dev/null
+++ b/compiler/locomotiv/src/Node/Forward.test.cpp
@@ -0,0 +1,88 @@
+/*
+ * 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_Forward, s32)
+{
+  // Make pull-forward graph
+  auto g = loco::make_graph();
+  auto pull = g->nodes()->create<loco::Pull>();
+  pull->dtype(loco::DataType::S32);
+  pull->shape({1});
+  auto forward = g->nodes()->create<loco::Forward>();
+  forward->input(pull);
+
+  // Make and assign data to pull node
+  auto pull_buf = make_buffer<int32_t, LexicalLayout>(Shape{1});
+  pull_buf.at(Index{0}) = 42;
+  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(forward);
+
+  auto forward_data = locomotiv::annot_data(forward);
+  ASSERT_NE(forward_data, nullptr);
+  ASSERT_EQ(forward_data->dtype(), loco::DataType::S32);
+  ASSERT_EQ(*(forward_data->shape()), Shape{1});
+  ASSERT_EQ(forward_data->as_s32_bufptr()->at(Index{0}), pull_buf.at(Index{0}));
+
+  ASSERT_EQ(locomotiv::annot_domain(forward), loco::Domain::Tensor);
+}
+
+TEST(NodeExecution_Forward, f32)
+{
+  // Make pull-forward graph
+  auto g = loco::make_graph();
+  auto pull = g->nodes()->create<loco::Pull>();
+  pull->dtype(loco::DataType::FLOAT32);
+  pull->shape({1});
+  auto forward = g->nodes()->create<loco::Forward>();
+  forward->input(pull);
+
+  // Make and assign data to pull node
+  auto pull_buf = make_buffer<float, LexicalLayout>(Shape{1});
+  pull_buf.at(Index{0}) = 3.14f;
+  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(forward);
+
+  auto forward_data = locomotiv::annot_data(forward);
+  ASSERT_NE(forward_data, nullptr);
+  ASSERT_EQ(forward_data->dtype(), loco::DataType::FLOAT32);
+  ASSERT_EQ(*(forward_data->shape()), Shape{1});
+  ASSERT_FLOAT_EQ(forward_data->as_f32_bufptr()->at(Index{0}), pull_buf.at(Index{0}));
+
+  ASSERT_EQ(locomotiv::annot_domain(forward), loco::Domain::Tensor);
+}