1 files changed, 64 insertions, 0 deletions
diff --git a/compiler/locomotiv/src/Node/Tanh.test.cpp b/compiler/locomotiv/src/Node/Tanh.test.cpp
new file mode 100644
index 000000000..78c3a13ba
--- /dev/null
+++ b/compiler/locomotiv/src/Node/Tanh.test.cpp
@@ -0,0 +1,64 @@
+/*
+ * 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_Tanh, f32)
+{
+  // Make pull-Tanh graph
+  auto g = loco::make_graph();
+  auto pull = g->nodes()->create<loco::Pull>();
+  pull->dtype(loco::DataType::FLOAT32);
+  pull->shape({3});
+  auto tanh = g->nodes()->create<loco::Tanh>();
+  tanh->input(pull);
+
+  // Make and assign data to pull node
+  auto pull_buf = make_buffer<float, LexicalLayout>(Shape{3});
+  pull_buf.at(Index{0}) = 0.0f;
+  pull_buf.at(Index{1}) = 1.0f;
+  pull_buf.at(Index{2}) = -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(tanh);
+
+  auto tanh_data = locomotiv::annot_data(tanh);
+  ASSERT_NE(tanh_data, nullptr);
+  ASSERT_EQ(tanh_data->dtype(), loco::DataType::FLOAT32);
+  ASSERT_EQ(*(tanh_data->shape()), Shape{3});
+  ASSERT_FLOAT_EQ(tanh_data->as_f32_bufptr()->at(Index{0}), 0.0f);
+  ASSERT_FLOAT_EQ(tanh_data->as_f32_bufptr()->at(Index{1}), 0.761594f);
+  ASSERT_FLOAT_EQ(tanh_data->as_f32_bufptr()->at(Index{2}), -0.761594f);
+
+  ASSERT_EQ(locomotiv::annot_domain(tanh), loco::Domain::Tensor);
+}