1 files changed, 121 insertions, 0 deletions
diff --git a/compiler/moco-tf/src/Op/COpCall.test.cpp b/compiler/moco-tf/src/Op/COpCall.test.cpp
new file mode 100644
index 000000000..f13118292
--- /dev/null
+++ b/compiler/moco-tf/src/Op/COpCall.test.cpp
@@ -0,0 +1,121 @@
+/*
+ * 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 "COpCall.h"
+
+#include "TestHelper.h"
+
+#include "Canonicalizer.h"
+
+#include <moco/Importer.h>
+
+#include <locoex/COpCall.h>
+#include <locoex/COpAttrTypes.h>
+
+#include <loco.h>
+#include <plier/tf/TestHelper.h>
+#include <stdex/Memory.h>
+
+#include <gtest/gtest.h>
+
+using namespace moco::tf::test;
+
+namespace
+{
+// clang-format off
+const char *customop_01_pbtxtdata = STRING_CONTENT(
+node {
+  name: "input1"
+  op: "Placeholder"
+  attr {
+    key: "dtype" value { type: DT_FLOAT } }
+  attr {
+    key: "shape"
+    value { shape { dim { size: 1 } dim { size: 2 } } }
+  }
+}
+node {
+  name: "input2"
+  op: "Const"
+  attr { key: "dtype" value { type: DT_FLOAT } }
+  attr {
+    key: "value"
+    value {
+      tensor {
+        dtype: DT_FLOAT
+        tensor_shape { dim { size: 1 } dim { size: 2 } }
+        float_val: 1.1 float_val: 2.2
+      }
+    }
+  }
+}
+node {
+  name: "my/customOp/000"
+  op: "new_custom_op"
+  input: "input1"
+  input: "input2"
+  attr { key: "my_float"  value { f: 0.001 } }
+  attr { key: "my_int"    value { i: 111 } }
+}
+);
+
+// clang-format on
+} // namespace
+
+TEST(Call_Test, Call_01)
+{
+  moco::ModelSignature signature;
+  {
+    signature.add_input(moco::TensorName("input1", 0));
+    signature.add_output(moco::TensorName("my/customOp/000", 0));
+    signature.add_customop("new_custom_op");
+    signature.dtype("my/customOp/000", loco::DataType::FLOAT32);
+    signature.shape("my/customOp/000", {1, 2});
+  }
+
+  tensorflow::GraphDef graph_def;
+  EXPECT_TRUE(plier::tf::parse_graphdef(customop_01_pbtxtdata, graph_def));
+
+  // import
+  moco::GraphBuilderRegistry registry{&moco::GraphBuilderRegistry::get()};
+  registry.add("new_custom_op", stdex::make_unique<moco::tf::COpCallGraphBuilder>(&signature));
+
+  moco::Importer importer(&registry);
+  std::unique_ptr<loco::Graph> graph = importer.import(signature, graph_def);
+
+  // what to test:
+  // - there should exist COpCall
+  // - two input nodes should exist and not be nullptr
+  // - attributes should match
+
+  auto *customop = moco::tf::test::find_first_node_bytype<locoex::COpCall>(graph.get());
+  ASSERT_NE(customop, nullptr);
+
+  ASSERT_EQ(customop->arity(), 2);
+
+  loco::Node *input_0 = customop->arg(0);
+  loco::Node *input_1 = customop->arg(1);
+  ASSERT_NE(input_0, nullptr);
+  ASSERT_NE(input_1, nullptr);
+
+  auto f_attr = customop->attr<locoex::COpAttrType::Float>("my_float");
+  ASSERT_FLOAT_EQ(f_attr->val(), 0.001);
+  ASSERT_TRUE(f_attr->type() == locoex::COpAttrType::Float);
+
+  auto i_attr = customop->attr<locoex::COpAttrType::Int>("my_int");
+  ASSERT_FLOAT_EQ(i_attr->val(), 111);
+  ASSERT_TRUE(i_attr->type() == locoex::COpAttrType::Int);
+}