1 files changed, 95 insertions, 0 deletions
diff --git a/compiler/locomotiv/src/Node/BiasEncode.test.cpp b/compiler/locomotiv/src/Node/BiasEncode.test.cpp
new file mode 100644
index 000000000..73e2af8a8
--- /dev/null
+++ b/compiler/locomotiv/src/Node/BiasEncode.test.cpp
@@ -0,0 +1,95 @@
+/*
+ * 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;
+using nncc::core::ADT::tensor::Buffer;
+
+namespace
+{
+template <typename T> loco::DataType loco_dtype() { throw std::runtime_error("Not supported yet"); }
+template <> loco::DataType loco_dtype<int32_t>() { return loco::DataType::S32; }
+template <> loco::DataType loco_dtype<float>() { return loco::DataType::FLOAT32; }
+
+template <typename T> const Buffer<T> *as_bufptr(const locomotiv::NodeData *data)
+{
+  throw std::runtime_error("Not supported yet");
+}
+template <> const Buffer<int32_t> *as_bufptr<int32_t>(const locomotiv::NodeData *data)
+{
+  return data->as_s32_bufptr();
+}
+template <> const Buffer<float> *as_bufptr<float>(const locomotiv::NodeData *data)
+{
+  return data->as_f32_bufptr();
+}
+
+template <typename T> void test()
+{
+  // Make pull-BiasEncode graph
+  auto g = loco::make_graph();
+
+  auto pull = g->nodes()->create<loco::Pull>();
+  {
+    pull->dtype(loco_dtype<T>());
+    pull->shape({1});
+  }
+
+  auto bias_enc = g->nodes()->create<loco::BiasEncode>();
+  {
+    bias_enc->input(pull);
+  }
+
+  // Make and assign data to pull node
+  auto pull_buf = make_buffer<T, LexicalLayout>(Shape{1});
+  {
+    pull_buf.at(Index{0}) = static_cast<T>(100);
+    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(bias_enc);
+
+  // check
+  auto bias_enc_data = locomotiv::annot_data(bias_enc);
+
+  ASSERT_NE(bias_enc_data, nullptr);
+  ASSERT_EQ(bias_enc_data->dtype(), loco_dtype<T>());
+  ASSERT_EQ(*(bias_enc_data->shape()), Shape{1});
+  ASSERT_EQ(as_bufptr<T>(bias_enc_data)->at(Index{0}), pull_buf.at(Index{0}));
+
+  ASSERT_EQ(locomotiv::annot_domain(bias_enc), loco::Domain::Bias);
+}
+} // namespace
+
+TEST(NodeExecution_BiasEncode, s32) { test<int32_t>(); }
+
+TEST(NodeExecution_BiasEncode, f32) { test<float>(); }